Personalized workout feedback and workout generation

Abstract

The present disclosure generally relates to exemplary user interfaces and techniques for providing personalized workout feedback and / or generating personalized workouts.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application claims priority to U.S. patent application Ser. No. 63 / 700,605, entitled “PERSONALIZED WORKOUT FEEDBACK AND WORKOUT GENERATION,” filed on Sep. 27, 2024, the content of which is hereby incorporated by reference in its entirety.FIELD

[0002] The present disclosure relates generally to computer user interfaces, and more specifically to techniques for providing personalized workout feedback and / or generating personalized workouts.BACKGROUND

[0003] Electronic devices can be used for accessing workout content (e.g., multimedia workout content), including content that is locally storied or delivered via a service.BRIEF SUMMARY

[0004] Some techniques for providing personalized workout feedback and / or generating personalized workouts using electronic devices, however, are generally cumbersome and inefficient. For example, some existing techniques use a complex and time-consuming user interface, which may include multiple key presses or keystrokes. Existing techniques require more time than necessary, wasting user time and device energy. This latter consideration is particularly important in battery-operated devices.

[0005] Accordingly, the present technique provides electronic devices with faster, more efficient methods and interfaces for providing personalized workout feedback and / or generating personalized workouts. Such methods and interfaces optionally complement or replace other methods for providing personalized workout feedback and / or generating personalized workouts. Such methods and interfaces reduce the cognitive burden on a user and produce a more efficient human-machine interface. For battery-operated computing devices, such methods and interfaces conserve power and increase the time between battery charges by, for example, avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs.

[0006] In accordance with some embodiments, a method is described. The method is performed at a computer system that is in communication with one or more input devices and one or more output devices. The method comprises: receiving, via one or more wearable devices worn on the body of a user, visual information captured by the one or more wearable devices worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user; and in response to receiving the visual information captured by the one or more wearable devices worn on the body of the user: outputting, via the one or more output devices, first feedback pertaining to a workout session of the user, wherein the first feedback pertaining to the workout session of the user is generated based on the visual information captured by the one or more wearable devices.

[0007] In accordance with some embodiments, a non-transitory computer-readable storage medium is described. The non-transitory computer-readable storage medium stores one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more input devices and one or more output devices, the one or more programs including instructions for: receiving, via one or more wearable devices worn on the body of a user, visual information captured by the one or more wearable devices worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user; and in response to receiving the visual information captured by the one or more wearable devices worn on the body of the user: outputting, via the one or more output devices, first feedback pertaining to a workout session of the user, wherein the first feedback pertaining to the workout session of the user is generated based on the visual information captured by the one or more wearable devices.

[0008] In accordance with some embodiments, a transitory computer-readable storage medium is described. The transitory computer-readable storage medium stores one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more input devices and one or more output devices, the one or more programs including instructions for: receiving, via one or more wearable devices worn on the body of a user, visual information captured by the one or more wearable devices worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user; and in response to receiving the visual information captured by the one or more wearable devices worn on the body of the user: outputting, via the one or more output devices, first feedback pertaining to a workout session of the user, wherein the first feedback pertaining to the workout session of the user is generated based on the visual information captured by the one or more wearable devices.

[0009] In accordance with some embodiments, a computer system is described. The computer system is configured to communicate with one or more input devices and one or more output devices, and comprises: one or more processors; and memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for: receiving, via one or more wearable devices worn on the body of a user, visual information captured by the one or more wearable devices worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user; and in response to receiving the visual information captured by the one or more wearable devices worn on the body of the user: outputting, via the one or more output devices, first feedback pertaining to a workout session of the user, wherein the first feedback pertaining to the workout session of the user is generated based on the visual information captured by the one or more wearable devices.

[0010] In accordance with some embodiments, a computer system is described. The computer system is configured to communicate with one or more input devices and one or more output devices, and comprises: means for receiving, via one or more wearable devices worn on the body of a user, visual information captured by the one or more wearable devices worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user; and means for, in response to receiving the visual information captured by the one or more wearable devices worn on the body of the user: outputting, via the one or more output devices, first feedback pertaining to a workout session of the user, wherein the first feedback pertaining to the workout session of the user is generated based on the visual information captured by the one or more wearable devices.

[0011] In accordance with some embodiments, a computer program product is described. The computer program product comprises one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more input devices and one or more output devices, the one or more programs including instructions for: receiving, via one or more wearable devices worn on the body of a user, visual information captured by the one or more wearable devices worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user; and in response to receiving the visual information captured by the one or more wearable devices worn on the body of the user: outputting, via the one or more output devices, first feedback pertaining to a workout session of the user, wherein the first feedback pertaining to the workout session of the user is generated based on the visual information captured by the one or more wearable devices.

[0012] In accordance with some embodiments, a method is described. The method is performed at a computer system that is in communication with one or more input devices and one or more output devices. The method comprises: outputting, via the one or more output devices, first audio content corresponding to a first workout; while outputting the first audio content corresponding to the first workout, receiving, via the one or more input devices, a first set of contextual information, wherein: the first set of contextual information includes information related to surroundings of a user of the computer system; and the first set of contextual information is collected using the one or more input devices; and in response to receiving the first set of contextual information: outputting, via the one or more output devices, second audio content corresponding to the first workout, wherein the second audio content includes a set of dynamic script that is determined based on the first set of contextual information.

[0013] In accordance with some embodiments, a non-transitory computer-readable storage medium is described. The non-transitory computer-readable storage medium stores one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more input devices and one or more output devices, the one or more programs including instructions for: outputting, via the one or more output devices, first audio content corresponding to a first workout; while outputting the first audio content corresponding to the first workout, receiving, via the one or more input devices, a first set of contextual information, wherein: the first set of contextual information includes information related to surroundings of a user of the computer system; and the first set of contextual information is collected using the one or more input devices; and in response to receiving the first set of contextual information: outputting, via the one or more output devices, second audio content corresponding to the first workout, wherein the second audio content includes a set of dynamic script that is determined based on the first set of contextual information.

[0014] In accordance with some embodiments, a transitory computer-readable storage medium is described. The transitory computer-readable storage medium stores one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more input devices and one or more output devices, the one or more programs including instructions for: outputting, via the one or more output devices, first audio content corresponding to a first workout; while outputting the first audio content corresponding to the first workout, receiving, via the one or more input devices, a first set of contextual information, wherein: the first set of contextual information includes information related to surroundings of a user of the computer system; and the first set of contextual information is collected using the one or more input devices; and in response to receiving the first set of contextual information: outputting, via the one or more output devices, second audio content corresponding to the first workout, wherein the second audio content includes a set of dynamic script that is determined based on the first set of contextual information.

[0015] In accordance with some embodiments, a computer system is described. The computer system is configured to communicate with one or more input devices and one or more output devices, and comprises: one or more processors; and memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for: outputting, via the one or more output devices, first audio content corresponding to a first workout; while outputting the first audio content corresponding to the first workout, receiving, via the one or more input devices, a first set of contextual information, wherein: the first set of contextual information includes information related to surroundings of a user of the computer system; and the first set of contextual information is collected using the one or more input devices; and in response to receiving the first set of contextual information: outputting, via the one or more output devices, second audio content corresponding to the first workout, wherein the second audio content includes a set of dynamic script that is determined based on the first set of contextual information.

[0016] In accordance with some embodiments, a computer system is described. The computer system is configured to communicate with one or more input devices and one or more output devices, and comprises: means for outputting, via the one or more output devices, first audio content corresponding to a first workout; means for, while outputting the first audio content corresponding to the first workout, receiving, via the one or more input devices, a first set of contextual information, wherein: the first set of contextual information includes information related to surroundings of a user of the computer system; and the first set of contextual information is collected using the one or more input devices; and means for, in response to receiving the first set of contextual information: outputting, via the one or more output devices, second audio content corresponding to the first workout, wherein the second audio content includes a set of dynamic script that is determined based on the first set of contextual information.

[0017] In accordance with some embodiments, a computer program product is described. The computer program product comprises one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more input devices and one or more output devices, the one or more programs including instructions for: outputting, via the one or more output devices, first audio content corresponding to a first workout; while outputting the first audio content corresponding to the first workout, receiving, via the one or more input devices, a first set of contextual information, wherein: the first set of contextual information includes information related to surroundings of a user of the computer system; and the first set of contextual information is collected using the one or more input devices; and in response to receiving the first set of contextual information: outputting, via the one or more output devices, second audio content corresponding to the first workout, wherein the second audio content includes a set of dynamic script that is determined based on the first set of contextual information.

[0018] In accordance with some embodiments, a method is described. The method is performed at a computer system that is in communication with one or more display generation components, one or more input devices, and one or more output devices. The method comprises: receiving, via the one or more input devices, a request to create a personalized workout for a user of the computer system; collecting, via the one or more input devices, user-specific information, wherein: the user-specific information includes visual information collected using one or more wearable devices worn on the body of the user; and in response to receiving the request to create the personalized workout for the user of the computer system, displaying, via the one or more display generation components, a first user interface pertaining to a first personalized workout that is generated in response to the request to create the personalized workout for the user of the computer system and is generated based on the visual information collected using the one or more wearable devices worn on the body of the user, wherein: the first personalized workout includes a set of workout segments that are selected for inclusion in the first personalized workout based on the visual information collected using the one or more wearable devices worn on the body of the user.

[0019] In accordance with some embodiments, a non-transitory computer-readable storage medium is described. The non-transitory computer-readable storage medium stores one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more display generation components, one or more input devices, and one or more output devices, the one or more programs including instructions for: receiving, via the one or more input devices, a request to create a personalized workout for a user of the computer system; collecting, via the one or more input devices, user-specific information, wherein: the user-specific information includes visual information collected using one or more wearable devices worn on the body of the user; and in response to receiving the request to create the personalized workout for the user of the computer system, displaying, via the one or more display generation components, a first user interface pertaining to a first personalized workout that is generated in response to the request to create the personalized workout for the user of the computer system and is generated based on the visual information collected using the one or more wearable devices worn on the body of the user, wherein: the first personalized workout includes a set of workout segments that are selected for inclusion in the first personalized workout based on the visual information collected using the one or more wearable devices worn on the body of the user.

[0020] In accordance with some embodiments, a transitory computer-readable storage medium is described. The transitory computer-readable storage medium stores one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more display generation components, one or more input devices, and one or more output devices, the one or more programs including instructions for: receiving, via the one or more input devices, a request to create a personalized workout for a user of the computer system; collecting, via the one or more input devices, user-specific information, wherein: the user-specific information includes visual information collected using one or more wearable devices worn on the body of the user; and in response to receiving the request to create the personalized workout for the user of the computer system, displaying, via the one or more display generation components, a first user interface pertaining to a first personalized workout that is generated in response to the request to create the personalized workout for the user of the computer system and is generated based on the visual information collected using the one or more wearable devices worn on the body of the user, wherein: the first personalized workout includes a set of workout segments that are selected for inclusion in the first personalized workout based on the visual information collected using the one or more wearable devices worn on the body of the user.

[0021] In accordance with some embodiments, a computer system is described. The computer system is configured to communicate with one or more display generation components, one or more input devices, and one or more output devices, and comprises: one or more processors; and memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for: receiving, via the one or more input devices, a request to create a personalized workout for a user of the computer system; collecting, via the one or more input devices, user-specific information, wherein: the user-specific information includes visual information collected using one or more wearable devices worn on the body of the user; and in response to receiving the request to create the personalized workout for the user of the computer system, displaying, via the one or more display generation components, a first user interface pertaining to a first personalized workout that is generated in response to the request to create the personalized workout for the user of the computer system and is generated based on the visual information collected using the one or more wearable devices worn on the body of the user, wherein: the first personalized workout includes a set of workout segments that are selected for inclusion in the first personalized workout based on the visual information collected using the one or more wearable devices worn on the body of the user.

[0022] In accordance with some embodiments, a computer system is described. The computer system is configured to communicate with one or more display generation components, one or more input devices, and one or more output devices, and comprises: means for receiving, via the one or more input devices, a request to create a personalized workout for a user of the computer system; means for collecting, via the one or more input devices, user-specific information, wherein: the user-specific information includes visual information collected using one or more wearable devices worn on the body of the user; and means for, in response to receiving the request to create the personalized workout for the user of the computer system, displaying, via the one or more display generation components, a first user interface pertaining to a first personalized workout that is generated in response to the request to create the personalized workout for the user of the computer system and is generated based on the visual information collected using the one or more wearable devices worn on the body of the user, wherein: the first personalized workout includes a set of workout segments that are selected for inclusion in the first personalized workout based on the visual information collected using the one or more wearable devices worn on the body of the user.

[0023] In accordance with some embodiments, a computer program product is described. The computer program product comprises one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more display generation components, one or more input devices, and one or more output devices, the one or more programs including instructions for: receiving, via the one or more input devices, a request to create a personalized workout for a user of the computer system; collecting, via the one or more input devices, user-specific information, wherein: the user-specific information includes visual information collected using one or more wearable devices worn on the body of the user; and in response to receiving the request to create the personalized workout for the user of the computer system, displaying, via the one or more display generation components, a first user interface pertaining to a first personalized workout that is generated in response to the request to create the personalized workout for the user of the computer system and is generated based on the visual information collected using the one or more wearable devices worn on the body of the user, wherein: the first personalized workout includes a set of workout segments that are selected for inclusion in the first personalized workout based on the visual information collected using the one or more wearable devices worn on the body of the user.

[0024] Executable instructions for performing these functions are, optionally, included in a non-transitory computer-readable storage medium or other computer program product configured for execution by one or more processors. Executable instructions for performing these functions are, optionally, included in a transitory computer-readable storage medium or other computer program product configured for execution by one or more processors.

[0025] Thus, devices are provided with faster, more efficient methods and interfaces for providing personalized workout feedback and / or generating personalized workouts, thereby increasing the effectiveness, efficiency, and user satisfaction with such devices. Such methods and interfaces may complement or replace other methods for providing personalized workout feedback and / or generating personalized workouts.DESCRIPTION OF THE FIGURES

[0026] For a better understanding of the various described embodiments, reference should be made to the Description of Embodiments below, in conjunction with the following drawings in which like reference numerals refer to corresponding parts throughout the figures.

[0027] FIG. 1A is a block diagram illustrating a portable multifunction device with a touch-sensitive display in accordance with some embodiments.

[0028] FIG. 1B is a block diagram illustrating exemplary components for event handling in accordance with some embodiments.

[0029] FIG. 2 illustrates a portable multifunction device having a touch screen in accordance with some embodiments.

[0030] FIG. 3A is a block diagram of an exemplary multifunction device with a display and a touch-sensitive surface in accordance with some embodiments.

[0031] FIGS. 3B-3G illustrate the use of Application Programming Interfaces (APIs) to perform operations.

[0032] FIG. 4A illustrates an exemplary user interface for a menu of applications on a portable multifunction device in accordance with some embodiments.

[0033] FIG. 4B illustrates an exemplary user interface for a multifunction device with a touch-sensitive surface that is separate from the display in accordance with some embodiments.

[0034] FIG. 5A illustrates a personal electronic device in accordance with some embodiments.

[0035] FIG. 5B is a block diagram illustrating a personal electronic device in accordance with some embodiments.

[0036] FIGS. 6A-6Y illustrate exemplary user interfaces for providing personalized workout feedback, in accordance with some embodiments.

[0037] FIG. 7 illustrates a flow diagram depicting a method for providing personalized workout feedback, in accordance with some embodiments.

[0038] FIGS. 8A-8E illustrate exemplary user interfaces for providing personalized workout feedback, in accordance with some embodiments.

[0039] FIG. 9 illustrates a flow diagram depicting a method for providing personalized workout feedback, in accordance with some embodiments.

[0040] FIGS. 10A-10G illustrate exemplary user interfaces for generating personalized workouts, in accordance with some embodiments.

[0041] FIG. 11 illustrates a flow diagram depicting a method for generating personalized workouts, in accordance with some embodiments.DESCRIPTION OF EMBODIMENTS

[0042] The following description sets forth exemplary methods, parameters, and the like. It should be recognized, however, that such description is not intended as a limitation on the scope of the present disclosure but is instead provided as a description of exemplary embodiments.

[0043] There is a need for electronic devices that provide efficient methods and interfaces for providing personalized workout feedback and / or generating personalized workouts. Such techniques can reduce the cognitive burden on a user who wishes to get feedback during a workout and / or generate a workout personalized for the user, thereby enhancing productivity. Further, such techniques can reduce processor and battery power otherwise wasted on redundant user inputs.

[0044] Below, FIGS. 1A-1B, 2, 3A-3G, 4A-4B, and 5A-5B provide a description of exemplary devices for performing the techniques for providing personalized workout feedback and / or generating personalized workouts. FIGS. 6A-6Y illustrate exemplary user interfaces for providing personalized workout feedback, in accordance with some embodiments. FIG. 7 is a flow diagram illustrating methods of providing personalized workout feedback in accordance with some embodiments. The user interfaces in FIGS. 6A-6Y are used to illustrate the processes described below, including the processes in FIG. 7. FIGS. 8A-8E illustrate exemplary user interfaces for providing personalized workout feedback, in accordance with some embodiments. FIG. 9 is a flow diagram illustrating methods of providing personalized workout feedback, in accordance with some embodiments. The user interfaces in FIGS. 8A-8E are used to illustrate the processes described below, including the processes in FIG. 9. FIGS. 10A-10G illustrate exemplary user interfaces for generating a personalized workout. FIG. 11 is a flow diagram illustrating methods of generating a personalized workout in accordance with some embodiments. The user interfaces in FIGS. 10A-10G are used to illustrate the processes described below, including the processes in FIG. 11.

[0045] The processes described below enhance the operability of the devices and make the user-device interfaces more efficient (e.g., by helping the user to provide proper inputs and reducing user mistakes when operating / interacting with the device) through various techniques, including by providing improved visual feedback to the user, reducing the number of inputs needed to perform an operation, providing additional control options without cluttering the user interface with additional displayed controls, performing an operation when a set of conditions has been met without requiring further user input, and / or additional techniques. These techniques also reduce power usage and improve battery life of the device by enabling the user to use the device more quickly and efficiently.

[0046] In addition, in methods described herein where one or more steps are contingent upon one or more conditions having been met, it should be understood that the described method can be repeated in multiple repetitions so that over the course of the repetitions all of the conditions upon which steps in the method are contingent have been met in different repetitions of the method. For example, if a method requires performing a first step if a condition is satisfied, and a second step if the condition is not satisfied, then a person of ordinary skill would appreciate that the claimed steps are repeated until the condition has been both satisfied and not satisfied, in no particular order. Thus, a method described with one or more steps that are contingent upon one or more conditions having been met could be rewritten as a method that is repeated until each of the conditions described in the method has been met. This, however, is not required of system or computer readable medium claims where the system or computer readable medium contains instructions for performing the contingent operations based on the satisfaction of the corresponding one or more conditions and thus is capable of determining whether the contingency has or has not been satisfied without explicitly repeating steps of a method until all of the conditions upon which steps in the method are contingent have been met. A person having ordinary skill in the art would also understand that, similar to a method with contingent steps, a system or computer readable storage medium can repeat the steps of a method as many times as are needed to ensure that all of the contingent steps have been performed.

[0047] Although the following description uses terms “first,”“second,” etc. to describe various elements, these elements should not be limited by the terms. In some embodiments, these terms are used to distinguish one element from another. For example, a first touch could be termed a second touch, and, similarly, a second touch could be termed a first touch, without departing from the scope of the various described embodiments. In some embodiments, the first touch and the second touch are two separate references to the same touch. In some embodiments, the first touch and the second touch are both touches, but they are not the same touch.

[0048] As used herein, the phrase “one or more of A and / or B” is construed to include all combinations of A and B, including, but not limited to: A individually without B; B individually without A; as well as a combination of A and B. The phrase “one or more of A, B, and / or C” is construed to include all combinations of A, B, and C, including, but not limited to: A individually without B and C; B individually without A and C; C individually without A and B; as well as any combinations of A, B, and / or C (e.g., A and B without C; A and C without B; B and C without A; and / or A, B, and C). Additionally, as used herein, the phrase “selected from the group consisting of A, B, C, and a combination thereof” and the phrase “at least one of A, B, and C” shall be construed to have the same meaning as the phrase “one or more of A, B, and / or C” as defined above. As used herein, the phrase “at least one of A, B, or C” and “one or more of A, B, or C” shall be construed to have the same meaning as the phrase “one or more of A, B, and / or C” as defined above. As used herein, the phrase “a combination including all of A, B, and C” is construed to include a combination of all the elements listed (e.g., a combination of A, B, and C).

[0049] The terminology used in the description of the various described embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used in the description of the various described embodiments and the appended claims, the singular forms “a,”“an,” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term “and / or” as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. It will be further understood that the terms “includes,”“including,”“comprises,” and / or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0050] The term “if” is, optionally, construed to mean “when” or “upon” or “in response to determining” or “in response to detecting,” depending on the context. Similarly, the phrase “if it is determined” or “if [a stated condition or event] is detected” is, optionally, construed to mean “upon determining” or “in response to determining” or “upon detecting [the stated condition or event]” or “in response to detecting [the stated condition or event],” depending on the context.

[0051] Embodiments of electronic devices, user interfaces for such devices, and associated processes for using such devices are described. In some embodiments, the device is a portable communications device, such as a mobile telephone, that also contains other functions, such as PDA and / or music player functions. Exemplary embodiments of portable multifunction devices include, without limitation, the iPhone®, iPod Touch®, and iPad® devices from Apple Inc. of Cupertino, California. Other portable electronic devices, such as laptops or tablet computers with touch-sensitive surfaces (e.g., touch screen displays and / or touchpads), are, optionally, used. It should also be understood that, in some embodiments, the device is not a portable communications device, but is a desktop computer with a touch-sensitive surface (e.g., a touch screen display and / or a touchpad). In some embodiments, the electronic device is a computer system that is in communication (e.g., via wireless communication, via wired communication) with a display generation component (e.g., a display device such as a head-mounted display (HMD), a display, a projector, a touch-sensitive display, or other device or component that presents visual content to a user, for example on or in the display generation component itself or produced from the display generation component and visible elsewhere). The display generation component is configured to provide visual output, such as display via a CRT display, display via an LED display, or display via image projection. In some embodiments, the display generation component is integrated with the computer system. In some embodiments, the display generation component is separate from the computer system. As used herein, “displaying” content includes causing to display the content (e.g., video data rendered or decoded by display controller 156) by transmitting, via a wired or wireless connection, data (e.g., image data or video data) to an integrated or external display generation component to visually produce the content.

[0052] In the discussion that follows, an electronic device that includes a display and a touch-sensitive surface is described. It should be understood, however, that the electronic device optionally includes one or more other physical user-interface devices, such as a physical keyboard, a mouse, and / or a joystick.

[0053] The device typically supports a variety of applications, such as one or more of the following: a drawing application, a presentation application, a word processing application, a website creation application, a disk authoring application, a spreadsheet application, a gaming application, a telephone application, a video conferencing application, an e-mail application, an instant messaging application, a workout support application, a photo management application, a digital camera application, a digital video camera application, a web browsing application, a digital music player application, and / or a digital video player application.

[0054] The various applications that are executed on the device optionally use at least one common physical user-interface device, such as the touch-sensitive surface. One or more functions of the touch-sensitive surface as well as corresponding information displayed on the device are, optionally, adjusted and / or varied from one application to the next and / or within a respective application. In this way, a common physical architecture (such as the touch-sensitive surface) of the device optionally supports the variety of applications with user interfaces that are intuitive and transparent to the user.

[0055] Attention is now directed toward embodiments of portable devices with touch-sensitive displays. FIG. 1A is a block diagram illustrating portable multifunction device 100 with touch-sensitive display system 112 in accordance with some embodiments. Touch-sensitive display 112 is sometimes called a “touch screen” for convenience and is sometimes known as or called a “touch-sensitive display system.” Device 100 includes memory 102 (which optionally includes one or more computer-readable storage media), memory controller 122, one or more processing units (CPUs) 120, peripherals interface 118, RF circuitry 108, audio circuitry 110, speaker 111, microphone 113, input / output (I / O) subsystem 106, other input control devices 116, and external port 124. Device 100 optionally includes one or more optical sensors 164. Device 100 optionally includes one or more contact intensity sensors 165 for detecting intensity of contacts on device 100 (e.g., a touch-sensitive surface such as touch-sensitive display system 112 of device 100). Device 100 optionally includes one or more tactile output generators 167 for generating tactile outputs on device 100 (e.g., generating tactile outputs on a touch-sensitive surface such as touch-sensitive display system 112 of device 100 or touchpad 355 of device 300). These components optionally communicate over one or more communication buses or signal lines 103.

[0056] As used in the specification and claims, the term “intensity” of a contact on a touch-sensitive surface refers to the force or pressure (force per unit area) of a contact (e.g., a finger contact) on the touch-sensitive surface, or to a substitute (proxy) for the force or pressure of a contact on the touch-sensitive surface. The intensity of a contact has a range of values that includes at least four distinct values and more typically includes hundreds of distinct values (e.g., at least 256). Intensity of a contact is, optionally, determined (or measured) using various approaches and various sensors or combinations of sensors. For example, one or more force sensors underneath or adjacent to the touch-sensitive surface are, optionally, used to measure force at various points on the touch-sensitive surface. In some implementations, force measurements from multiple force sensors are combined (e.g., a weighted average) to determine an estimated force of a contact. Similarly, a pressure-sensitive tip of a stylus is, optionally, used to determine a pressure of the stylus on the touch-sensitive surface. Alternatively, the size of the contact area detected on the touch-sensitive surface and / or changes thereto, the capacitance of the touch-sensitive surface proximate to the contact and / or changes thereto, and / or the resistance of the touch-sensitive surface proximate to the contact and / or changes thereto are, optionally, used as a substitute for the force or pressure of the contact on the touch-sensitive surface. In some implementations, the substitute measurements for contact force or pressure are used directly to determine whether an intensity threshold has been exceeded (e.g., the intensity threshold is described in units corresponding to the substitute measurements). In some implementations, the substitute measurements for contact force or pressure are converted to an estimated force or pressure, and the estimated force or pressure is used to determine whether an intensity threshold has been exceeded (e.g., the intensity threshold is a pressure threshold measured in units of pressure). Using the intensity of a contact as an attribute of a user input allows for user access to additional device functionality that may otherwise not be accessible by the user on a reduced-size device with limited real estate for displaying affordances (e.g., on a touch-sensitive display) and / or receiving user input (e.g., via a touch-sensitive display, a touch-sensitive surface, or a physical / mechanical control such as a knob or a button).

[0057] As used in the specification and claims, the term “tactile output” refers to physical displacement of a device relative to a previous position of the device, physical displacement of a component (e.g., a touch-sensitive surface) of a device relative to another component (e.g., housing) of the device, or displacement of the component relative to a center of mass of the device that will be detected by a user with the user's sense of touch. For example, in situations where the device or the component of the device is in contact with a surface of a user that is sensitive to touch (e.g., a finger, palm, or other part of a user's hand), the tactile output generated by the physical displacement will be interpreted by the user as a tactile sensation corresponding to a perceived change in physical characteristics of the device or the component of the device. For example, movement of a touch-sensitive surface (e.g., a touch-sensitive display or trackpad) is, optionally, interpreted by the user as a “down click” or “up click” of a physical actuator button. In some cases, a user will feel a tactile sensation such as an “down click” or “up click” even when there is no movement of a physical actuator button associated with the touch-sensitive surface that is physically pressed (e.g., displaced) by the user's movements. As another example, movement of the touch-sensitive surface is, optionally, interpreted or sensed by the user as “roughness” of the touch-sensitive surface, even when there is no change in smoothness of the touch-sensitive surface. While such interpretations of touch by a user will be subject to the individualized sensory perceptions of the user, there are many sensory perceptions of touch that are common to a large majority of users. Thus, when a tactile output is described as corresponding to a particular sensory perception of a user (e.g., an “up click,” a “down click,”“roughness”), unless otherwise stated, the generated tactile output corresponds to physical displacement of the device or a component thereof that will generate the described sensory perception for a typical (or average) user.

[0058] It should be appreciated that device 100 is only one example of a portable multifunction device, and that device 100 optionally has more or fewer components than shown, optionally combines two or more components, or optionally has a different configuration or arrangement of the components. The various components shown in FIG. 1A are implemented in hardware, software, or a combination of both hardware and software, including one or more signal processing and / or application-specific integrated circuits.

[0059] Memory 102 optionally includes high-speed random access memory and optionally also includes non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state memory devices. Memory controller 122 optionally controls access to memory 102 by other components of device 100.

[0060] Peripherals interface 118 can be used to couple input and output peripherals of the device to CPU 120 and memory 102. The one or more processors 120 run or execute various software programs (such as computer programs (e.g., including instructions)) and / or sets of instructions stored in memory 102 to perform various functions for device 100 and to process data. In some embodiments, peripherals interface 118, CPU 120, and memory controller 122 are, optionally, implemented on a single chip, such as chip 104. In some other embodiments, they are, optionally, implemented on separate chips.

[0061] RF (radio frequency) circuitry 108 receives and sends RF signals, also called electromagnetic signals. RF circuitry 108 converts electrical signals to / from electromagnetic signals and communicates with communications networks and other communications devices via the electromagnetic signals. RF circuitry 108 optionally includes well-known circuitry for performing these functions, including but not limited to an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC chipset, a subscriber identity module (SIM) card, memory, and so forth. RF circuitry 108 optionally communicates with networks, such as the Internet, also referred to as the World Wide Web (WWW), an intranet and / or a wireless network, such as a cellular telephone network, a wireless local area network (LAN) and / or a metropolitan area network (MAN), and other devices by wireless communication. The RF circuitry 108 optionally includes well-known circuitry for detecting near field communication (NFC) fields, such as by a short-range communication radio. The wireless communication optionally uses any of a plurality of communications standards, protocols, and technologies, including but not limited to Global System for Mobile Communications (GSM), Enhanced Data GSM Environment (EDGE), high-speed downlink packet access (HSDPA), high-speed uplink packet access (HSUPA), Evolution, Data-Only (EV-DO), HSPA, HSPA+, Dual-Cell HSPA (DC-HSPDA), long term evolution (LTE), near field communication (NFC), wideband code division multiple access (W-CDMA), code division multiple access (CDMA), time division multiple access (TDMA), Bluetooth, Bluetooth Low Energy (BTLE), Wireless Fidelity (Wi-Fi) (e.g., IEEE 802.11a, IEEE 802.11b, IEEE 802.11g, IEEE 802.11n, and / or IEEE 802.11ac), voice over Internet Protocol (VoIP), Wi-MAX, a protocol for e-mail (e.g., Internet message access protocol (IMAP) and / or post office protocol (POP)), instant messaging (e.g., extensible messaging and presence protocol (XMPP), Session Initiation Protocol for Instant Messaging and Presence Leveraging Extensions (SIMPLE), Instant Messaging and Presence Service (IMPS)), and / or Short Message Service (SMS), or any other suitable communication protocol, including communication protocols not yet developed as of the filing date of this document.

[0062] Audio circuitry 110, speaker 111, and microphone 113 provide an audio interface between a user and device 100. Audio circuitry 110 receives audio data from peripherals interface 118, converts the audio data to an electrical signal, and transmits the electrical signal to speaker 111. Speaker 111 converts the electrical signal to human-audible sound waves. Audio circuitry 110 also receives electrical signals converted by microphone 113 from sound waves. Audio circuitry 110 converts the electrical signal to audio data and transmits the audio data to peripherals interface 118 for processing. Audio data is, optionally, retrieved from and / or transmitted to memory 102 and / or RF circuitry 108 by peripherals interface 118. In some embodiments, audio circuitry 110 also includes a headset jack (e.g., 212, FIG. 2). The headset jack provides an interface between audio circuitry 110 and removable audio input / output peripherals, such as output-only headphones or a headset with both output (e.g., a headphone for one or both ears) and input (e.g., a microphone).

[0063] I / O subsystem 106 couples input / output peripherals on device 100, such as touch screen 112 and other input control devices 116, to peripherals interface 118. I / O subsystem 106 optionally includes display controller 156, optical sensor controller 158, depth camera controller 169, intensity sensor controller 159, haptic feedback controller 161, and one or more input controllers 160 for other input or control devices. The one or more input controllers 160 receive / send electrical signals from / to other input control devices 116. The other input control devices 116 optionally include physical buttons (e.g., push buttons, rocker buttons, etc.), dials, slider switches, joysticks, click wheels, and so forth. In some embodiments, input controller(s) 160 are, optionally, coupled to any (or none) of the following: a keyboard, an infrared port, a USB port, and a pointer device such as a mouse. The one or more buttons (e.g., 208, FIG. 2) optionally include an up / down button for volume control of speaker 111 and / or microphone 113. The one or more buttons optionally include a push button (e.g., 206, FIG. 2). In some embodiments, the electronic device is a computer system that is in communication (e.g., via wireless communication, via wired communication) with one or more input devices. In some embodiments, the one or more input devices include a touch-sensitive surface (e.g., a trackpad, as part of a touch-sensitive display). In some embodiments, the one or more input devices include one or more camera sensors (e.g., one or more optical sensors 164 and / or one or more depth camera sensors 175), such as for tracking a user's gestures (e.g., hand gestures and / or air gestures) as input. In some embodiments, the one or more input devices are integrated with the computer system. In some embodiments, the one or more input devices are separate from the computer system. In some embodiments, an air gesture is a gesture that is detected without the user touching an input element that is part of the device (or independently of an input element that is a part of the device) and is based on detected motion of a portion of the user's body through the air including motion of the user's body relative to an absolute reference (e.g., an angle of the user's arm relative to the ground or a distance of the user's hand relative to the ground), relative to another portion of the user's body (e.g., movement of a hand of the user relative to a shoulder of the user, movement of one hand of the user relative to another hand of the user, and / or movement of a finger of the user relative to another finger or portion of a hand of the user), and / or absolute motion of a portion of the user's body (e.g., a tap gesture that includes movement of a hand in a predetermined pose by a predetermined amount and / or speed, or a shake gesture that includes a predetermined speed or amount of rotation of a portion of the user's body).

[0064] A quick press of the push button optionally disengages a lock of touch screen 112 or optionally begins a process that uses gestures on the touch screen to unlock the device, as described in U.S. patent application Ser. No. 11 / 322,549, “Unlocking a Device by Performing Gestures on an Unlock Image,” filed Dec. 23, 2005, U.S. Pat. No. 7,657,849, which is hereby incorporated by reference in its entirety. A longer press of the push button (e.g., 206) optionally turns power to device 100 on or off. The functionality of one or more of the buttons are, optionally, user-customizable. Touch screen 112 is used to implement virtual or soft buttons and one or more soft keyboards.

[0065] Touch-sensitive display 112 provides an input interface and an output interface between the device and a user. Display controller 156 receives and / or sends electrical signals from / to touch screen 112. Touch screen 112 displays visual output to the user. The visual output optionally includes graphics, text, icons, video, and any combination thereof (collectively termed “graphics”). In some embodiments, some or all of the visual output optionally corresponds to user-interface objects.

[0066] Touch screen 112 has a touch-sensitive surface, sensor, or set of sensors that accepts input from the user based on haptic and / or tactile contact. Touch screen 112 and display controller 156 (along with any associated modules and / or sets of instructions in memory 102) detect contact (and any movement or breaking of the contact) on touch screen 112 and convert the detected contact into interaction with user-interface objects (e.g., one or more soft keys, icons, web pages, or images) that are displayed on touch screen 112. In an exemplary embodiment, a point of contact between touch screen 112 and the user corresponds to a finger of the user.

[0067] Touch screen 112 optionally uses LCD (liquid crystal display) technology, LPD (light emitting polymer display) technology, or LED (light emitting diode) technology, although other display technologies are used in other embodiments. Touch screen 112 and display controller 156 optionally detect contact and any movement or breaking thereof using any of a plurality of touch sensing technologies now known or later developed, including but not limited to capacitive, resistive, infrared, and surface acoustic wave technologies, as well as other proximity sensor arrays or other elements for determining one or more points of contact with touch screen 112. In an exemplary embodiment, projected mutual capacitance sensing technology is used, such as that found in the iPhone® and iPod Touch® from Apple Inc. of Cupertino, California.

[0068] A touch-sensitive display in some embodiments of touch screen 112 is, optionally, analogous to the multi-touch sensitive touchpads described in the following U.S. Pat. Nos: 6,323,846 (Westerman et al.), 6,570,557 (Westerman et al.), and / or 6,677,932 (Westerman), and / or U.S. Patent Publication 2002 / 0015024A1, each of which is hereby incorporated by reference in its entirety. However, touch screen 112 displays visual output from device 100, whereas touch-sensitive touchpads do not provide visual output.

[0069] A touch-sensitive display in some embodiments of touch screen 112 is described in the following applications: (1) U.S. patent application Ser. No. 11 / 381,313, “Multipoint Touch Surface Controller,” filed May 2, 2006; (2) U.S. patent application Ser. No. 10 / 840,862, “Multipoint Touchscreen,” filed May 6, 2004; (3) U.S. patent application Ser. No. 10 / 903,964, “Gestures For Touch Sensitive Input Devices,” filed Jul. 30, 2004; (4) U.S. patent application Ser. No. 11 / 048,264, “Gestures For Touch Sensitive Input Devices,” filed Jan. 31, 2005; (5) U.S. patent application Ser. No. 11 / 038,590, “Mode-Based Graphical User Interfaces For Touch Sensitive Input Devices,” filed Jan. 18, 2005; (6) U.S. patent application Ser. No. 11 / 228,758, “Virtual Input Device Placement On A Touch Screen User Interface,” filed Sep. 16, 2005; (7) U.S. patent application Ser. No. 11 / 228,700, “Operation Of A Computer With A Touch Screen Interface,” filed Sep. 16, 2005; (8) U.S. patent application Ser. No. 11 / 228,737, “Activating Virtual Keys Of A Touch-Screen Virtual Keyboard,” filed Sep. 16, 2005; and (9) U.S. patent application Ser. No. 11 / 367,749, “Multi-Functional Hand-Held Device,” filed Mar. 3, 2006. All of these applications are incorporated by reference herein in their entirety.

[0070] Touch screen 112 optionally has a video resolution in excess of 100 dpi. In some embodiments, the touch screen has a video resolution of approximately 160 dpi. The user optionally makes contact with touch screen 112 using any suitable object or appendage, such as a stylus, a finger, and so forth. In some embodiments, the user interface is designed to work primarily with finger-based contacts and gestures, which can be less precise than stylus-based input due to the larger area of contact of a finger on the touch screen. In some embodiments, the device translates the rough finger-based input into a precise pointer / cursor position or command for performing the actions desired by the user.

[0071] In some embodiments, in addition to the touch screen, device 100 optionally includes a touchpad for activating or deactivating particular functions. In some embodiments, the touchpad is a touch-sensitive area of the device that, unlike the touch screen, does not display visual output. The touchpad is, optionally, a touch-sensitive surface that is separate from touch screen 112 or an extension of the touch-sensitive surface formed by the touch screen.

[0072] Device 100 also includes power system 162 for powering the various components. Power system 162 optionally includes a power management system, one or more power sources (e.g., battery, alternating current (AC)), a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator (e.g., a light-emitting diode (LED)) and any other components associated with the generation, management and distribution of power in portable devices.

[0073] Device 100 optionally also includes secure element 163 for securely storing information. In some embodiments, secure element 163 is a hardware component (e.g., a secure microcontroller chip) configured to securely store data or an algorithm. In some embodiments, secure element 163 provides (e.g., releases) secure information (e.g., payment information (e.g., an account number and / or a transaction-specific dynamic security code), identification information (e.g., credentials of a state-approved digital identification), and / or authentication information (e.g., data generated using a cryptography engine and / or by performing asymmetric cryptography operations)). In some embodiments, secure element 163 provides (or releases) the secure information in response to device 100 receiving authorization, such as a user authentication (e.g., fingerprint authentication; passcode authentication; detecting double-press of a hardware button when device 100 is in an unlocked state, and optionally, while device 100 has been continuously on a user's wrist since device 100 was unlocked by providing authentication credentials to device 100, where the continuous presence of device 100 on the user's wrist is determined by periodically checking that the device is in contact with the user's skin). For example, device 100 detects a fingerprint at a fingerprint sensor (e.g., a fingerprint sensor integrated into a button) of device 100. Device 100 determines whether the detected fingerprint is consistent with an enrolled fingerprint. In accordance with a determination that the fingerprint is consistent with the enrolled fingerprint, secure element 163 provides (e.g., releases) the secure information. In accordance with a determination that the fingerprint is not consistent with the enrolled fingerprint, secure element 163 forgoes providing (e.g., releasing) the secure information.

[0074] Device 100 optionally also includes one or more optical sensors 164. FIG. 1A shows an optical sensor coupled to optical sensor controller 158 in I / O subsystem 106. Optical sensor 164 optionally includes charge-coupled device (CCD) or complementary metal-oxide semiconductor (CMOS) phototransistors. Optical sensor 164 receives light from the environment, projected through one or more lenses, and converts the light to data representing an image. In conjunction with imaging module 143 (also called a camera module), optical sensor 164 optionally captures still images or video. In some embodiments, an optical sensor is located on the back of device 100, opposite touch screen display 112 on the front of the device so that the touch screen display is enabled for use as a viewfinder for still and / or video image acquisition. In some embodiments, an optical sensor is located on the front of the device so that the user's image is, optionally, obtained for video conferencing while the user views the other video conference participants on the touch screen display. In some embodiments, the position of optical sensor 164 can be changed by the user (e.g., by rotating the lens and the sensor in the device housing) so that a single optical sensor 164 is used along with the touch screen display for both video conferencing and still and / or video image acquisition.

[0075] Device 100 optionally also includes one or more depth camera sensors 175. FIG. 1A shows a depth camera sensor coupled to depth camera controller 169 in I / O subsystem 106. Depth camera sensor 175 receives data from the environment to create a three dimensional model of an object (e.g., a face) within a scene from a viewpoint (e.g., a depth camera sensor). In some embodiments, in conjunction with imaging module 143 (also called a camera module), depth camera sensor 175 is optionally used to determine a depth map of different portions of an image captured by the imaging module 143. In some embodiments, a depth camera sensor is located on the front of device 100 so that the user's image with depth information is, optionally, obtained for video conferencing while the user views the other video conference participants on the touch screen display and to capture selfies with depth map data. In some embodiments, the depth camera sensor 175 is located on the back of device, or on the back and the front of the device 100. In some embodiments, the position of depth camera sensor 175 can be changed by the user (e.g., by rotating the lens and the sensor in the device housing) so that a depth camera sensor 175 is used along with the touch screen display for both video conferencing and still and / or video image acquisition.

[0076] In some embodiments, a depth map (e.g., depth map image) contains information (e.g., values) that relates to the distance of objects in a scene from a viewpoint (e.g., a camera, an optical sensor, a depth camera sensor). In one embodiment of a depth map, each depth pixel defines the position in the viewpoint's Z-axis where its corresponding two-dimensional pixel is located. In some embodiments, a depth map is composed of pixels wherein each pixel is defined by a value (e.g., 0-255). For example, the “0” value represents pixels that are located at the most distant place in a “three dimensional” scene and the “255” value represents pixels that are located closest to a viewpoint (e.g., a camera, an optical sensor, a depth camera sensor) in the “three dimensional” scene. In other embodiments, a depth map represents the distance between an object in a scene and the plane of the viewpoint. In some embodiments, the depth map includes information about the relative depth of various features of an object of interest in view of the depth camera (e.g., the relative depth of eyes, nose, mouth, ears of a user's face). In some embodiments, the depth map includes information that enables the device to determine contours of the object of interest in a z direction.

[0077] Device 100 optionally also includes one or more contact intensity sensors 165. FIG. 1A shows a contact intensity sensor coupled to intensity sensor controller 159 in I / O subsystem 106. Contact intensity sensor 165 optionally includes one or more piezoresistive strain gauges, capacitive force sensors, electric force sensors, piezoelectric force sensors, optical force sensors, capacitive touch-sensitive surfaces, or other intensity sensors (e.g., sensors used to measure the force (or pressure) of a contact on a touch-sensitive surface). Contact intensity sensor 165 receives contact intensity information (e.g., pressure information or a proxy for pressure information) from the environment. In some embodiments, at least one contact intensity sensor is collocated with, or proximate to, a touch-sensitive surface (e.g., touch-sensitive display system 112). In some embodiments, at least one contact intensity sensor is located on the back of device 100, opposite touch screen display 112, which is located on the front of device 100.

[0078] Device 100 optionally also includes one or more proximity sensors 166. FIG. 1A shows proximity sensor 166 coupled to peripherals interface 118. Alternately, proximity sensor 166 is, optionally, coupled to input controller 160 in I / O subsystem 106. Proximity sensor 166 optionally performs as described in U.S. patent application Ser. Nos. 11 / 241,839, “Proximity Detector In Handheld Device”; 11 / 240,788, “Proximity Detector In Handheld Device”; 11 / 620,702, “Using Ambient Light Sensor To Augment Proximity Sensor Output”; 11 / 586,862, “Automated Response To And Sensing Of User Activity In Portable Devices”; and 11 / 638,251, “Methods And Systems For Automatic Configuration Of Peripherals,” which are hereby incorporated by reference in their entirety. In some embodiments, the proximity sensor turns off and disables touch screen 112 when the multifunction device is placed near the user's ear (e.g., when the user is making a phone call).

[0079] Device 100 optionally also includes one or more tactile output generators 167. FIG. 1A shows a tactile output generator coupled to haptic feedback controller 161 in I / O subsystem 106. Tactile output generator 167 optionally includes one or more electroacoustic devices such as speakers or other audio components and / or electromechanical devices that convert energy into linear motion such as a motor, solenoid, electroactive polymer, piezoelectric actuator, electrostatic actuator, or other tactile output generating component (e.g., a component that converts electrical signals into tactile outputs on the device). Contact intensity sensor 165 receives tactile feedback generation instructions from haptic feedback module 133 and generates tactile outputs on device 100 that are capable of being sensed by a user of device 100. In some embodiments, at least one tactile output generator is collocated with, or proximate to, a touch-sensitive surface (e.g., touch-sensitive display system 112) and, optionally, generates a tactile output by moving the touch-sensitive surface vertically (e.g., in / out of a surface of device 100) or laterally (e.g., back and forth in the same plane as a surface of device 100). In some embodiments, at least one tactile output generator sensor is located on the back of device 100, opposite touch screen display 112, which is located on the front of device 100.

[0080] Device 100 optionally also includes one or more accelerometers 168. FIG. 1A shows accelerometer 168 coupled to peripherals interface 118. Alternately, accelerometer 168 is, optionally, coupled to an input controller 160 in I / O subsystem 106. Accelerometer 168 optionally performs as described in U.S. Patent Publication No. 20050190059, “Acceleration-based Theft Detection System for Portable Electronic Devices,” and U.S. Patent Publication No. 20060017692, “Methods And Apparatuses For Operating A Portable Device Based On An Accelerometer,” both of which are incorporated by reference herein in their entirety. In some embodiments, information is displayed on the touch screen display in a portrait view or a landscape view based on an analysis of data received from the one or more accelerometers. Device 100 optionally includes, in addition to accelerometer(s) 168, a magnetometer and a GPS (or GLONASS or other global navigation system) receiver for obtaining information concerning the location and orientation (e.g., portrait or landscape) of device 100.

[0081] In some embodiments, the software components stored in memory 102 include operating system 126, biometric module 109, communication module (or set of instructions) 128, contact / motion module (or set of instructions) 130, graphics module (or set of instructions) 132, text input module (or set of instructions) 134, Global Positioning System (GPS) module (or set of instructions) 135, authentication module 105, and applications (or sets of instructions) 136. Furthermore, in some embodiments, memory 102 (FIG. 1A) or 370 (FIG. 3A) stores device / global internal state 157, as shown in FIGS. 1A and 3A. Device / global internal state 157 includes one or more of: active application state, indicating which applications, if any, are currently active; display state, indicating what applications, views or other information occupy various regions of touch screen display 112; sensor state, including information obtained from the device's various sensors and input control devices 116; and location information concerning the device's location and / or attitude.

[0082] Operating system 126 (e.g., Darwin, RTXC, LINUX, UNIX, OS X, iOS, WINDOWS, or an embedded operating system such as VxWorks) includes various software components and / or drivers for controlling and managing general system tasks (e.g., memory management, storage device control, power management, etc.) and facilitates communication between various hardware and software components.

[0083] Communication module 128 facilitates communication with other devices over one or more external ports 124 and also includes various software components for handling data received by RF circuitry 108 and / or external port 124. External port 124 (e.g., Universal Serial Bus (USB), FIREWIRE®, etc.) is adapted for coupling directly to other devices or indirectly over a network (e.g., the Internet, wireless LAN, etc.). In some embodiments, the external port is a multi-pin (e.g., 30-pin) connector that is the same as, or similar to and / or compatible with, the 30-pin connector used on iPod® (trademark of Apple Inc.) devices.

[0084] Biometric module 109 optionally stores information about one or more enrolled biometric features (e.g., fingerprint feature information, facial recognition feature information, eye and / or iris feature information) for use to verify whether received biometric information matches the enrolled biometric features. In some embodiments, the information stored about the one or more enrolled biometric features includes data that enables the comparison between the stored information and received biometric information without including enough information to reproduce the enrolled biometric features. In some embodiments, biometric module 109 stores the information about the enrolled biometric features in association with a user account of device 100. In some embodiments, biometric module 109 compares the received biometric information to an enrolled biometric feature to determine whether the received biometric information matches the enrolled biometric feature.

[0085] Contact / motion module 130 optionally detects contact with touch screen 112 (in conjunction with display controller 156) and other touch-sensitive devices (e.g., a touchpad or physical click wheel). Contact / motion module 130 includes various software components for performing various operations related to detection of contact, such as determining if contact has occurred (e.g., detecting a finger-down event), determining an intensity of the contact (e.g., the force or pressure of the contact or a substitute for the force or pressure of the contact), determining if there is movement of the contact and tracking the movement across the touch-sensitive surface (e.g., detecting one or more finger-dragging events), and determining if the contact has ceased (e.g., detecting a finger-up event or a break in contact). Contact / motion module 130 receives contact data from the touch-sensitive surface. Determining movement of the point of contact, which is represented by a series of contact data, optionally includes determining speed (magnitude), velocity (magnitude and direction), and / or an acceleration (a change in magnitude and / or direction) of the point of contact. These operations are, optionally, applied to single contacts (e.g., one finger contacts) or to multiple simultaneous contacts (e.g., “multitouch” multiple finger contacts). In some embodiments, contact / motion module 130 and display controller 156 detect contact on a touchpad.

[0086] In some embodiments, contact / motion module 130 uses a set of one or more intensity thresholds to determine whether an operation has been performed by a user (e.g., to determine whether a user has “clicked” on an icon). In some embodiments, at least a subset of the intensity thresholds are determined in accordance with software parameters (e.g., the intensity thresholds are not determined by the activation thresholds of particular physical actuators and can be adjusted without changing the physical hardware of device 100). For example, a mouse “click” threshold of a trackpad or touch screen display can be set to any of a large range of predefined threshold values without changing the trackpad or touch screen display hardware. Additionally, in some implementations, a user of the device is provided with software settings for adjusting one or more of the set of intensity thresholds (e.g., by adjusting individual intensity thresholds and / or by adjusting a plurality of intensity thresholds at once with a system-level click “intensity”parameter).

[0087] Contact / motion module 130 optionally detects a gesture input by a user. Different gestures on the touch-sensitive surface have different contact patterns (e.g., different motions, timings, and / or intensities of detected contacts). Thus, a gesture is, optionally, detected by detecting a particular contact pattern. For example, detecting a finger tap gesture includes detecting a finger-down event followed by detecting a finger-up (liftoff) event at the same position (or substantially the same position) as the finger-down event (e.g., at the position of an icon). As another example, detecting a finger swipe gesture on the touch-sensitive surface includes detecting a finger-down event followed by detecting one or more finger-dragging events, and subsequently followed by detecting a finger-up (liftoff) event.

[0088] Graphics module 132 includes various known software components for rendering and displaying graphics on touch screen 112 or other display, including components for changing the visual impact (e.g., brightness, transparency, saturation, contrast, or other visual property) of graphics that are displayed. As used herein, the term “graphics” includes any object that can be displayed to a user, including, without limitation, text, web pages, icons (such as user-interface objects including soft keys), digital images, videos, animations, and the like.

[0089] In some embodiments, graphics module 132 stores data representing graphics to be used. Each graphic is, optionally, assigned a corresponding code. Graphics module 132 receives, from applications etc., one or more codes specifying graphics to be displayed along with, if necessary, coordinate data and other graphic property data, and then generates screen image data to output to display controller 156.

[0090] Haptic feedback module 133 includes various software components for generating instructions used by tactile output generator(s) 167 to produce tactile outputs at one or more locations on device 100 in response to user interactions with device 100.

[0091] Text input module 134, which is, optionally, a component of graphics module 132, provides soft keyboards for entering text in various applications (e.g., contacts module 137, e-mail client module 140, IM module 141, browser module 147, and any other application that needs text input).

[0092] GPS module 135 determines the location of the device and provides this information for use in various applications (e.g., to telephone module 138 for use in location-based dialing; to camera module 143 as picture / video metadata; and to applications that provide location-based services such as weather widgets, local yellow page widgets, and map / navigation widgets).

[0093] Authentication module 105 determines whether a requested operation (e.g., requested by an application of applications 136) is authorized to be performed. In some embodiments, authentication module 105 receives for an operation to be perform that optionally requires authentication. Authentication module 105 determines whether the operation is authorized to be performed, such as based on a series of factors, including the lock status of device 100, the location of device 100, whether a security delay has elapsed, whether received biometric information matches enrolled biometric features, and / or other factors. Once authentication module 105 determines that the operation is authorized to be performed, authentication module 105 triggers performance of the operation.

[0094] Applications 136 optionally include the following modules (or sets of instructions), or a subset or superset thereof:

[0095] Contacts module 137 (sometimes called an address book or contact list);

[0096] Telephone module 138;

[0097] Video conference module 139;

[0098] E-mail client module 140;

[0099] Instant messaging (IM) module 141;

[0100] Workout support module 142;

[0101] Camera module 143 for still and / or video images;

[0102] Image management module 144;

[0103] Video player module;

[0104] Music player module;

[0105] Browser module 147;

[0106] Calendar module 148;

[0107] Widget modules 149, which optionally include one or more of: weather widget 149-1, stocks widget 149-2, calculator widget 149-3, alarm clock widget 149-4, dictionary widget 149-5, and other widgets obtained by the user, as well as user-created widgets 149-6;

[0108] Widget creator module 150 for making user-created widgets 149-6;

[0109] Search module 151;

[0110] Video and music player module 152, which merges video player module and music player module;

[0111] Notes module 153;

[0112] Map module 154; and / or

[0113] Online video module 155.

[0114] Examples of other applications 136 that are, optionally, stored in memory 102 include other word processing applications, other image editing applications, drawing applications, presentation applications, JAVA-enabled applications, encryption, digital rights management, voice recognition, and voice replication.

[0115] In conjunction with touch screen 112, display controller 156, contact / motion module 130, graphics module 132, and text input module 134, contacts module 137 are, optionally, used to manage an address book or contact list (e.g., stored in application internal state 192 of contacts module 137 in memory 102 or memory 370), including: adding name(s) to the address book; deleting name(s) from the address book; associating telephone number(s), e-mail address(es), physical address(es) or other information with a name; associating an image with a name; categorizing and sorting names; providing telephone numbers or e-mail addresses to initiate and / or facilitate communications by telephone module 138, video conference module 139, e-mail client module 140, or IM module 141; and so forth.

[0116] In conjunction with RF circuitry 108, audio circuitry 110, speaker 111, microphone 113, touch screen 112, display controller 156, contact / motion module 130, graphics module 132, and text input module 134, telephone module 138 are optionally, used to enter a sequence of characters corresponding to a telephone number, access one or more telephone numbers in contacts module 137, modify a telephone number that has been entered, dial a respective telephone number, conduct a conversation, and disconnect or hang up when the conversation is completed. As noted above, the wireless communication optionally uses any of a plurality of communications standards, protocols, and technologies.

[0117] In conjunction with RF circuitry 108, audio circuitry 110, speaker 111, microphone 113, touch screen 112, display controller 156, optical sensor 164, optical sensor controller 158, contact / motion module 130, graphics module 132, text input module 134, contacts module 137, and telephone module 138, video conference module 139 includes executable instructions to initiate, conduct, and terminate a video conference between a user and one or more other participants in accordance with user instructions.

[0118] In conjunction with RF circuitry 108, touch screen 112, display controller 156, contact / motion module 130, graphics module 132, and text input module 134, e-mail client module 140 includes executable instructions to create, send, receive, and manage e-mail in response to user instructions. In conjunction with image management module 144, e-mail client module 140 makes it very easy to create and send e-mails with still or video images taken with camera module 143.

[0119] In conjunction with RF circuitry 108, touch screen 112, display controller 156, contact / motion module 130, graphics module 132, and text input module 134, the instant messaging module 141 includes executable instructions to enter a sequence of characters corresponding to an instant message, to modify previously entered characters, to transmit a respective instant message (for example, using a Short Message Service (SMS) or Multimedia Message Service (MMS) protocol for telephony-based instant messages or using XMPP, SIMPLE, or IMPS for Internet-based instant messages), to receive instant messages, and to view received instant messages. In some embodiments, transmitted and / or received instant messages optionally include graphics, photos, audio files, video files and / or other attachments as are supported in an MMS and / or an Enhanced Messaging Service (EMS). As used herein, “instant messaging” refers to both telephony-based messages (e.g., messages sent using SMS or MMS) and Internet-based messages (e.g., messages sent using XMPP, SIMPLE, or IMPS).

[0120] In conjunction with RF circuitry 108, touch screen 112, display controller 156, contact / motion module 130, graphics module 132, text input module 134, GPS module 135, map module 154, and music player module, workout support module 142 includes executable instructions to create workouts (e.g., with time, distance, and / or calorie burning goals); communicate with workout sensors (sports devices); receive workout sensor data; calibrate sensors used to monitor a workout; select and play music for a workout; and display, store, and transmit workout data.

[0121] In conjunction with touch screen 112, display controller 156, optical sensor(s) 164, optical sensor controller 158, contact / motion module 130, graphics module 132, and image management module 144, camera module 143 includes executable instructions to capture still images or video (including a video stream) and store them into memory 102, modify characteristics of a still image or video, or delete a still image or video from memory 102.

[0122] In conjunction with touch screen 112, display controller 156, contact / motion module 130, graphics module 132, text input module 134, and camera module 143, image management module 144 includes executable instructions to arrange, modify (e.g., edit), or otherwise manipulate, label, delete, present (e.g., in a digital slide show or album), and store still and / or video images.

[0123] In conjunction with RF circuitry 108, touch screen 112, display controller 156, contact / motion module 130, graphics module 132, and text input module 134, browser module 147 includes executable instructions to browse the Internet in accordance with user instructions, including searching, linking to, receiving, and displaying web pages or portions thereof, as well as attachments and other files linked to web pages.

[0124] In conjunction with RF circuitry 108, touch screen 112, display controller 156, contact / motion module 130, graphics module 132, text input module 134, e-mail client module 140, and browser module 147, calendar module 148 includes executable instructions to create, display, modify, and store calendars and data associated with calendars (e.g., calendar entries, to-do lists, etc.) in accordance with user instructions.

[0125] In conjunction with RF circuitry 108, touch screen 112, display controller 156, contact / motion module 130, graphics module 132, text input module 134, and browser module 147, widget modules 149 are mini-applications that are, optionally, downloaded and used by a user (e.g., weather widget 149-1, stocks widget 149-2, calculator widget 149-3, alarm clock widget 149-4, and dictionary widget 149-5) or created by the user (e.g., user-created widget 149-6). In some embodiments, a widget includes an HTML (Hypertext Markup Language) file, a CSS (Cascading Style Sheets) file, and a JavaScript® file. In some embodiments, a widget includes an XML (Extensible Markup Language) file and a JavaScript® file (e.g., Yahoo!® Widgets).

[0126] In conjunction with RF circuitry 108, touch screen 112, display controller 156, contact / motion module 130, graphics module 132, text input module 134, and browser module 147, the widget creator module 150 are, optionally, used by a user to create widgets (e.g., turning a user-specified portion of a web page into a widget).

[0127] In conjunction with touch screen 112, display controller 156, contact / motion module 130, graphics module 132, and text input module 134, search module 151 includes executable instructions to search for text, music, sound, image, video, and / or other files in memory 102 that match one or more search criteria (e.g., one or more user-specified search terms) in accordance with user instructions.

[0128] In conjunction with touch screen 112, display controller 156, contact / motion module 130, graphics module 132, audio circuitry 110, speaker 111, RF circuitry 108, and browser module 147, video and music player module 152 includes executable instructions that allow the user to download and play back recorded music and other sound files stored in one or more file formats, such as MP3 or AAC files, and executable instructions to display, present, or otherwise play back videos (e.g., on touch screen 112 or on an external, connected display via external port 124). In some embodiments, device 100 optionally includes the functionality of an MP3 player, such as an iPod (trademark of Apple Inc.).

[0129] In conjunction with touch screen 112, display controller 156, contact / motion module 130, graphics module 132, and text input module 134, notes module 153 includes executable instructions to create and manage notes, to-do lists, and the like in accordance with user instructions.

[0130] In conjunction with RF circuitry 108, touch screen 112, display controller 156, contact / motion module 130, graphics module 132, text input module 134, GPS module 135, and browser module 147, map module 154 are, optionally, used to receive, display, modify, and store maps and data associated with maps (e.g., driving directions, data on stores and other points of interest at or near a particular location, and other location-based data) in accordance with user instructions.

[0131] In conjunction with touch screen 112, display controller 156, contact / motion module 130, graphics module 132, audio circuitry 110, speaker 111, RF circuitry 108, text input module 134, e-mail client module 140, and browser module 147, online video module 155 includes instructions that allow the user to access, browse, receive (e.g., by streaming and / or download), play back (e.g., on the touch screen or on an external, connected display via external port 124), send an e-mail with a link to a particular online video, and otherwise manage online videos in one or more file formats, such as H.264. In some embodiments, instant messaging module 141, rather than e-mail client module 140, is used to send a link to a particular online video. Additional description of the online video application can be found in U.S. Provisional Ser. No. 60 / 936,562 , “Portable Multifunction Device, Method, and Graphical User Interface for Playing Online Videos,” filed Jun. 20, 2007, and U.S. patent application Ser. No. 11 / 968,067, “Portable Multifunction Device, Method, and Graphical User Interface for Playing Online Videos,” filed Dec. 31, 2007, the contents of which are hereby incorporated by reference in their entirety.

[0132] Each of the above-identified modules and applications corresponds to a set of executable instructions for performing one or more functions described above and the methods described in this application (e.g., the computer-implemented methods and other information processing methods described herein). These modules (e.g., sets of instructions) need not be implemented as separate software programs (such as computer programs (e.g., including instructions)), procedures, or modules, and thus various subsets of these modules are, optionally, combined or otherwise rearranged in various embodiments. For example, video player module is, optionally, combined with music player module into a single module (e.g., video and music player module 152, FIG. 1A). In some embodiments, memory 102 optionally stores a subset of the modules and data structures identified above. Furthermore, memory 102 optionally stores additional modules and data structures not described above.

[0133] In some embodiments, device 100 is a device where operation of a predefined set of functions on the device is performed exclusively through a touch screen and / or a touchpad. By using a touch screen and / or a touchpad as the primary input control device for operation of device 100, the number of physical input control devices (such as push buttons, dials, and the like) on device 100 is, optionally, reduced.

[0134] The predefined set of functions that are performed exclusively through a touch screen and / or a touchpad optionally include navigation between user interfaces. In some embodiments, the touchpad, when touched by the user, navigates device 100 to a main, home, or root menu from any user interface that is displayed on device 100. In such embodiments, a “menu button” is implemented using a touchpad. In some other embodiments, the menu button is a physical push button or other physical input control device instead of a touchpad.

[0135] FIG. 1B is a block diagram illustrating exemplary components for event handling in accordance with some embodiments. In some embodiments, memory 102 (FIG. 1A) or 370 (FIG. 3A) includes event sorter 170 (e.g., in operating system 126) and a respective application 136-1 (e.g., any of the aforementioned applications 137-151, 155, 380-390).

[0136] Event sorter 170 receives event information and determines the application 136-1 and application view 191 of application 136-1 to which to deliver the event information. Event sorter 170 includes event monitor 171 and event dispatcher module 174. In some embodiments, application 136-1 includes application internal state 192, which indicates the current application view(s) displayed on touch-sensitive display 112 when the application is active or executing. In some embodiments, device / global internal state 157 is used by event sorter 170 to determine which application(s) is (are) currently active, and application internal state 192 is used by event sorter 170 to determine application views 191 to which to deliver event information.

[0137] In some embodiments, application internal state 192 includes additional information, such as one or more of: resume information to be used when application 136-1 resumes execution, user interface state information that indicates information being displayed or that is ready for display by application 136-1, a state queue for enabling the user to go back to a prior state or view of application 136-1, and a redo / undo queue of previous actions taken by the user.

[0138] Event monitor 171 receives event information from peripherals interface 118. Event information includes information about a sub-event (e.g., a user touch on touch-sensitive display 112, as part of a multi-touch gesture). Peripherals interface 118 transmits information it receives from I / O subsystem 106 or a sensor, such as proximity sensor 166, accelerometer(s) 168, and / or microphone 113 (through audio circuitry 110). Information that peripherals interface 118 receives from I / O subsystem 106 includes information from touch-sensitive display 112 or a touch-sensitive surface.

[0139] In some embodiments, event monitor 171 sends requests to the peripherals interface 118 at predetermined intervals. In response, peripherals interface 118 transmits event information. In other embodiments, peripherals interface 118 transmits event information only when there is a significant event (e.g., receiving an input above a predetermined noise threshold and / or for more than a predetermined duration).

[0140] In some embodiments, event sorter 170 also includes a hit view determination module 172 and / or an active event recognizer determination module 173.

[0141] Hit view determination module 172 provides software procedures for determining where a sub-event has taken place within one or more views when touch-sensitive display 112 displays more than one view. Views are made up of controls and other elements that a user can see on the display.

[0142] Another aspect of the user interface associated with an application is a set of views, sometimes herein called application views or user interface windows, in which information is displayed and touch-based gestures occur. The application views (of a respective application) in which a touch is detected optionally correspond to programmatic levels within a programmatic or view hierarchy of the application. For example, the lowest level view in which a touch is detected is, optionally, called the hit view, and the set of events that are recognized as proper inputs are, optionally, determined based, at least in part, on the hit view of the initial touch that begins a touch-based gesture.

[0143] Hit view determination module 172 receives information related to sub-events of a touch-based gesture. When an application has multiple views organized in a hierarchy, hit view determination module 172 identifies a hit view as the lowest view in the hierarchy which should handle the sub-event. In most circumstances, the hit view is the lowest level view in which an initiating sub-event occurs (e.g., the first sub-event in the sequence of sub-events that form an event or potential event). Once the hit view is identified by the hit view determination module 172, the hit view typically receives all sub-events related to the same touch or input source for which it was identified as the hit view.

[0144] Active event recognizer determination module 173 determines which view or views within a view hierarchy should receive a particular sequence of sub-events. In some embodiments, active event recognizer determination module 173 determines that only the hit view should receive a particular sequence of sub-events. In other embodiments, active event recognizer determination module 173 determines that all views that include the physical location of a sub-event are actively involved views, and therefore determines that all actively involved views should receive a particular sequence of sub-events. In other embodiments, even if touch sub-events were entirely confined to the area associated with one particular view, views higher in the hierarchy would still remain as actively involved views.

[0145] Event dispatcher module 174 dispatches the event information to an event recognizer (e.g., event recognizer 180). In embodiments including active event recognizer determination module 173, event dispatcher module 174 delivers the event information to an event recognizer determined by active event recognizer determination module 173. In some embodiments, event dispatcher module 174 stores in an event queue the event information, which is retrieved by a respective event receiver 182.

[0146] In some embodiments, operating system 126 includes event sorter 170. Alternatively, application 136-1 includes event sorter 170. In yet other embodiments, event sorter 170 is a stand-alone module, or a part of another module stored in memory 102, such as contact / motion module 130.

[0147] In some embodiments, application 136-1 includes a plurality of event handlers 190 and one or more application views 191, each of which includes instructions for handling touch events that occur within a respective view of the application's user interface. Each application view 191 of the application 136-1 includes one or more event recognizers 180. Typically, a respective application view 191 includes a plurality of event recognizers 180. In other embodiments, one or more of event recognizers 180 are part of a separate module, such as a user interface kit or a higher level object from which application 136-1 inherits methods and other properties. In some embodiments, a respective event handler 190 includes one or more of: data updater 176, object updater 177, GUI updater 178, and / or event data 179 received from event sorter 170. Event handler 190 optionally utilizes or calls data updater 176, object updater 177, or GUI updater 178 to update the application internal state 192. Alternatively, one or more of the application views 191 include one or more respective event handlers 190. Also, in some embodiments, one or more of data updater 176, object updater 177, and GUI updater 178 are included in a respective application view 191.

[0148] A respective event recognizer 180 receives event information (e.g., event data 179) from event sorter 170 and identifies an event from the event information. Event recognizer 180 includes event receiver 182 and event comparator 184. In some embodiments, event recognizer 180 also includes at least a subset of: metadata 183, and event delivery instructions 188 (which optionally include sub-event delivery instructions).

[0149] Event receiver 182 receives event information from event sorter 170. The event information includes information about a sub-event, for example, a touch or a touch movement. Depending on the sub-event, the event information also includes additional information, such as location of the sub-event. When the sub-event concerns motion of a touch, the event information optionally also includes speed and direction of the sub-event. In some embodiments, events include rotation of the device from one orientation to another (e.g., from a portrait orientation to a landscape orientation, or vice versa), and the event information includes corresponding information about the current orientation (also called device attitude) of the device.

[0150] Event comparator 184 compares the event information to predefined event or sub-event definitions and, based on the comparison, determines an event or sub-event, or determines or updates the state of an event or sub-event. In some embodiments, event comparator 184 includes event definitions 186. Event definitions 186 contain definitions of events (e.g., predefined sequences of sub-events), for example, event 1 (187-1), event 2 (187-2), and others. In some embodiments, sub-events in an event (e.g., 187-1 and / or 187-2) include, for example, touch begin, touch end, touch movement, touch cancellation, and multiple touching. In one example, the definition for event 1 (187-1) is a double tap on a displayed object. The double tap, for example, comprises a first touch (touch begin) on the displayed object for a predetermined phase, a first liftoff (touch end) for a predetermined phase, a second touch (touch begin) on the displayed object for a predetermined phase, and a second liftoff (touch end) for a predetermined phase. In another example, the definition for event 2 (187-2) is a dragging on a displayed object. The dragging, for example, comprises a touch (or contact) on the displayed object for a predetermined phase, a movement of the touch across touch-sensitive display 112, and liftoff of the touch (touch end). In some embodiments, the event also includes information for one or more associated event handlers 190.

[0151] In some embodiments, event definitions 186 include a definition of an event for a respective user-interface object. In some embodiments, event comparator 184 performs a hit test to determine which user-interface object is associated with a sub-event. For example, in an application view in which three user-interface objects are displayed on touch-sensitive display 112, when a touch is detected on touch-sensitive display 112, event comparator 184 performs a hit test to determine which of the three user-interface objects is associated with the touch (sub-event). If each displayed object is associated with a respective event handler 190, the event comparator uses the result of the hit test to determine which event handler 190 should be activated. For example, event comparator 184 selects an event handler associated with the sub-event and the object triggering the hit test.

[0152] In some embodiments, the definition for a respective event (187) also includes delayed actions that delay delivery of the event information until after it has been determined whether the sequence of sub-events does or does not correspond to the event recognizer's event type.

[0153] When a respective event recognizer 180 determines that the series of sub-events do not match any of the events in event definitions 186, the respective event recognizer 180 enters an event impossible, event failed, or event ended state, after which it disregards subsequent sub-events of the touch-based gesture. In this situation, other event recognizers, if any, that remain active for the hit view continue to track and process sub-events of an ongoing touch-based gesture.

[0154] In some embodiments, a respective event recognizer 180 includes metadata 183 with configurable properties, flags, and / or lists that indicate how the event delivery system should perform sub-event delivery to actively involved event recognizers. In some embodiments, metadata 183 includes configurable properties, flags, and / or lists that indicate how event recognizers interact, or are enabled to interact, with one another. In some embodiments, metadata 183 includes configurable properties, flags, and / or lists that indicate whether sub-events are delivered to varying levels in the view or programmatic hierarchy.

[0155] In some embodiments, a respective event recognizer 180 activates event handler 190 associated with an event when one or more particular sub-events of an event are recognized. In some embodiments, a respective event recognizer 180 delivers event information associated with the event to event handler 190. Activating an event handler 190 is distinct from sending (and deferred sending) sub-events to a respective hit view. In some embodiments, event recognizer 180 throws a flag associated with the recognized event, and event handler 190 associated with the flag catches the flag and performs a predefined process.

[0156] In some embodiments, event delivery instructions 188 include sub-event delivery instructions that deliver event information about a sub-event without activating an event handler. Instead, the sub-event delivery instructions deliver event information to event handlers associated with the series of sub-events or to actively involved views. Event handlers associated with the series of sub-events or with actively involved views receive the event information and perform a predetermined process.

[0157] In some embodiments, data updater 176 creates and updates data used in application 136-1. For example, data updater 176 updates the telephone number used in contacts module 137, or stores a video file used in video player module. In some embodiments, object updater 177 creates and updates objects used in application 136-1. For example, object updater 177 creates a new user-interface object or updates the position of a user-interface object. GUI updater 178 updates the GUI. For example, GUI updater 178 prepares display information and sends it to graphics module 132 for display on a touch-sensitive display.

[0158] In some embodiments, event handler(s) 190 includes or has access to data updater 176, object updater 177, and GUI updater 178. In some embodiments, data updater 176, object updater 177, and GUI updater 178 are included in a single module of a respective application 136-1 or application view 191. In other embodiments, they are included in two or more software modules.

[0159] It shall be understood that the foregoing discussion regarding event handling of user touches on touch-sensitive displays also applies to other forms of user inputs to operate multifunction devices 100 with input devices, not all of which are initiated on touch screens. For example, mouse movement and mouse button presses, optionally coordinated with single or multiple keyboard presses or holds; contact movements such as taps, drags, scrolls, etc. on touchpads; pen stylus inputs; movement of the device; oral instructions; detected eye movements; biometric inputs; and / or any combination thereof are optionally utilized as inputs corresponding to sub-events which define an event to be recognized.

[0160] FIG. 2 illustrates a portable multifunction device 100 having a touch screen 112 in accordance with some embodiments. The touch screen optionally displays one or more graphics within user interface (UI) 200. In this embodiment, as well as others described below, a user is enabled to select one or more of the graphics by making a gesture on the graphics, for example, with one or more fingers 202 (not drawn to scale in the figure) or one or more styluses 203 (not drawn to scale in the figure). In some embodiments, selection of one or more graphics occurs when the user breaks contact with the one or more graphics. In some embodiments, the gesture optionally includes one or more taps, one or more swipes (from left to right, right to left, upward and / or downward), and / or a rolling of a finger (from right to left, left to right, upward and / or downward) that has made contact with device 100. In some implementations or circumstances, inadvertent contact with a graphic does not select the graphic. For example, a swipe gesture that sweeps over an application icon optionally does not select the corresponding application when the gesture corresponding to selection is a tap.

[0161] Device 100 optionally also include one or more physical buttons, such as “home” or menu button 204. As described previously, menu button 204 is, optionally, used to navigate to any application 136 in a set of applications that are, optionally, executed on device 100. Alternatively, in some embodiments, the menu button is implemented as a soft key in a GUI displayed on touch screen 112.

[0162] In some embodiments, device 100 includes touch screen 112, menu button 204, push button 206 for powering the device on / off and locking the device, volume adjustment button(s) 208, subscriber identity module (SIM) card slot 210, headset jack 212, and docking / charging external port 124. Push button 206 is, optionally, used to turn the power on / off on the device by depressing the button and holding the button in the depressed state for a predefined time interval; to lock the device by depressing the button and releasing the button before the predefined time interval has elapsed; and / or to unlock the device or initiate an unlock process. In an alternative embodiment, device 100 also accepts verbal input for activation or deactivation of some functions through microphone 113. Device 100 also, optionally, includes one or more contact intensity sensors 165 for detecting intensity of contacts on touch screen 112 and / or one or more tactile output generators 167 for generating tactile outputs for a user of device 100.

[0163] FIG. 3A is a block diagram of an exemplary multifunction device with a display and a touch-sensitive surface in accordance with some embodiments. Device 300 need not be portable. In some embodiments, device 300 is a laptop computer, a desktop computer, a tablet computer, a multimedia player device, a navigation device, an educational device (such as a child's learning toy), a gaming system, or a control device (e.g., a home or industrial controller). Device 300 typically includes one or more processing units (CPUs) 310, one or more network or other communications interfaces 360, memory 370, and one or more communication buses 320 for interconnecting these components. Communication buses 320 optionally include circuitry (sometimes called a chipset) that interconnects and controls communications between system components. Device 300 includes input / output (I / O) interface 330 comprising display 340, which is typically a touch screen display. I / O interface 330 also optionally includes a keyboard and / or mouse (or other pointing device) 350 and touchpad 355, tactile output generator 357 for generating tactile outputs on device 300 (e.g., similar to tactile output generator(s) 167 described above with reference to FIG. 1A), sensors 359 (e.g., optical, acceleration, proximity, touch-sensitive, and / or contact intensity sensors similar to contact intensity sensor(s) 165 described above with reference to FIG. 1A). Memory 370 includes high-speed random access memory, such as DRAM, SRAM, DDR RAM, or other random access solid state memory devices; and optionally includes non-volatile memory, such as one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or other non-volatile solid state storage devices. Memory 370 optionally includes one or more storage devices remotely located from CPU(s) 310. In some embodiments, memory 370 stores programs, modules, and data structures analogous to the programs, modules, and data structures stored in memory 102 of portable multifunction device 100 (FIG. 1A), or a subset thereof. Furthermore, memory 370 optionally stores additional programs, modules, and data structures not present in memory 102 of portable multifunction device 100. For example, memory 370 of device 300 optionally stores drawing module 380, presentation module 382, word processing module 384, website creation module 386, disk authoring module 388, and / or spreadsheet module 390, while memory 102 of portable multifunction device 100 (FIG. 1A) optionally does not store these modules.

[0164] Each of the above-identified elements in FIG. 3A is, optionally, stored in one or more of the previously mentioned memory devices. Each of the above-identified modules corresponds to a set of instructions for performing a function described above. The above-identified modules or computer programs (e.g., sets of instructions or including instructions) need not be implemented as separate software programs (such as computer programs (e.g., including instructions)), procedures, or modules, and thus various subsets of these modules are, optionally, combined or otherwise rearranged in various embodiments. In some embodiments, memory 370 optionally stores a subset of the modules and data structures identified above. Furthermore, memory 370 optionally stores additional modules and data structures not described above.

[0165] Implementations within the scope of the present disclosure can be partially or entirely realized using a tangible computer-readable storage medium (or multiple tangible computer-readable storage media of one or more types) encoding one or more computer-readable instructions. It should be recognized that computer-readable instructions can be organized in any format, including applications, widgets, processes, software, and / or components.

[0166] Implementations within the scope of the present disclosure include a computer-readable storage medium that encodes instructions organized as an application (e.g., application 3160) that, when executed by one or more processing units, control an electronic device (e.g., device 3150) to perform the method of FIG. 3B, the method of FIG. 3C, and / or one or more other processes and / or methods described herein.

[0167] It should be recognized that application 3160 (shown in FIG. 3D) can be any suitable type of application, including, for example, one or more of: a browser application, an application that functions as an execution environment for plug-ins, widgets or other applications, a fitness application, a health application, a digital payments application, a media application, a social network application, a messaging application, and / or a maps application. In some embodiments, application 3160 is an application that is pre-installed on device 3150 at purchase (e.g., a first-party application). In some embodiments, application 3160 is an application that is provided to device 3150 via an operating system update file (e.g., a first-party application or a second-party application). In some embodiments, application 3160 is an application that is provided via an application store. In some embodiments, the application store can be an application store that is pre-installed on device 3150 at purchase (e.g., a first-party application store). In some embodiments, the application store is a third-party application store (e.g., an application store that is provided by another application store, downloaded via a network, and / or read from a storage device).

[0168] Referring to FIG. 3B and FIG. 3F, application 3160 obtains information (e.g., 3010). In some embodiments, at 3010, information is obtained from at least one hardware component of device 3150. In some embodiments, at 3010, information is obtained from at least one software module of device 3150. In some embodiments, at 3010, information is obtained from at least one hardware component external to device 3150 (e.g., a peripheral device, an accessory device, and / or a server). In some embodiments, the information obtained at 3010 includes positional information, time information, notification information, user information, environment information, electronic device state information, weather information, media information, historical information, event information, hardware information, and / or motion information. In some embodiments, in response to and / or after obtaining the information at 3010, application 3160 provides the information to a system (e.g., 3020).

[0169] In some embodiments, the system (e.g., 3110 shown in FIG. 3E) is an operating system hosted on device 3150. In some embodiments, the system (e.g., 3110 shown in FIG. 3E) is an external device (e.g., a server, a peripheral device, an accessory, and / or a personal computing device) that includes an operating system.

[0170] Referring to FIG. 3C and FIG. 3G, application 3160 obtains information (e.g., 3030). In some embodiments, the information obtained at 3030 includes positional information, time information, notification information, user information, environment information electronic device state information, weather information, media information, historical information, event information, hardware information, and / or motion information. In response to and / or after obtaining the information at 3030, application 3160 performs an operation with the information (e.g., 3040). In some embodiments, the operation performed at 3040 includes: providing a notification based on the information, sending a message based on the information, displaying the information, controlling a user interface of a fitness application based on the information, controlling a user interface of a health application based on the information, controlling a focus mode based on the information, setting a reminder based on the information, adding a calendar entry based on the information, and / or calling an API of system 3110 based on the information.

[0171] In some embodiments, one or more steps of the method of FIG. 3B and / or the method of FIG. 3C is performed in response to a trigger. In some embodiments, the trigger includes detection of an event, a notification received from system 3110, a user input, and / or a response to a call to an API provided by system 3110.

[0172] In some embodiments, the instructions of application 3160, when executed, control device 3150 to perform the method of FIG. 3B and / or the method of FIG. 3C by calling an application programming interface (API) (e.g., API 3190) provided by system 3110. In some embodiments, application 3160 performs at least a portion of the method of FIG. 3B and / or the method of FIG. 3C without calling API 3190.

[0173] In some embodiments, one or more steps of the method of FIG. 3B and / or the method of FIG. 3C includes calling an API (e.g., API 3190) using one or more parameters defined by the API. In some embodiments, the one or more parameters include a constant, a key, a data structure, an object, an object class, a variable, a data type, a pointer, an array, a list or a pointer to a function or method, and / or another way to reference a data or other item to be passed via the API.

[0174] Referring to FIG. 3D, device 3150 is illustrated. In some embodiments, device 3150 is a personal computing device, a smart phone, a smart watch, a fitness tracker, a head mounted display (HMD) device, a media device, a communal device, a speaker, a television, and / or a tablet. As illustrated in FIG. 3D, device 3150 includes application 3160 and an operating system (e.g., system 3110 shown in FIG. 3E). Application 3160 includes application implementation module 3170 and API-calling module 3180. System 3110 includes API 3190 and implementation module 3100. It should be recognized that device 3150, application 3160, and / or system 3110 can include more, fewer, and / or different components than illustrated in FIGS. 3D and 3E.

[0175] In some embodiments, application implementation module 3170 includes a set of one or more instructions corresponding to one or more operations performed by application 3160. For example, when application 3160 is a messaging application, application implementation module 3170 can include operations to receive and send messages. In some embodiments, application implementation module 3170 communicates with API-calling module 3180 to communicate with system 3110 via API 3190 (shown in FIG. 3E).

[0176] In some embodiments, API 3190 is a software module (e.g., a collection of computer-readable instructions) that provides an interface that allows a different module (e.g., API-calling module 3180) to access and / or use one or more functions, methods, procedures, data structures, classes, and / or other services provided by implementation module 3100 of system 3110. For example, API-calling module 3180 can access a feature of implementation module 3100 through one or more API calls or invocations (e.g., embodied by a function or a method call) exposed by API 3190 (e.g., a software and / or hardware module that can receive API calls, respond to API calls, and / or send API calls) and can pass data and / or control information using one or more parameters via the API calls or invocations. In some embodiments, API 3190 allows application 3160 to use a service provided by a Software Development Kit (SDK) library. In some embodiments, application 3160 incorporates a call to a function or method provided by the SDK library and provided by API 3190 or uses data types or objects defined in the SDK library and provided by API 3190. In some embodiments, API-calling module 3180 makes an API call via API 3190 to access and use a feature of implementation module 3100 that is specified by API 3190. In such embodiments, implementation module 3100 can return a value via API 3190 to API-calling module 3180 in response to the API call. The value can report to application 3160 the capabilities or state of a hardware component of device 3150, including those related to aspects such as input capabilities and state, output capabilities and state, processing capability, power state, storage capacity and state, and / or communications capability. In some embodiments, API 3190 is implemented in part by firmware, microcode, or other low level logic that executes in part on the hardware component.

[0177] In some embodiments, API 3190 allows a developer of API-calling module 3180 (which can be a third-party developer) to leverage a feature provided by implementation module 3100. In such embodiments, there can be one or more API-calling modules (e.g., including API-calling module 3180) that communicate with implementation module 3100. In some embodiments, API 3190 allows multiple API-calling modules written in different programming languages to communicate with implementation module 3100 (e.g., API 3190 can include features for translating calls and returns between implementation module 3100 and API-calling module 3180) while API 3190 is implemented in terms of a specific programming language. In some embodiments, API-calling module 3180 calls APIs from different providers such as a set of APIs from an OS provider, another set of APIs from a plug-in provider, and / or another set of APIs from another provider (e.g., the provider of a software library) or creator of the another set of APIs.

[0178] Examples of API 3190 can include one or more of: a pairing API (e.g., for establishing secure connection, e.g., with an accessory), a device detection API (e.g., for locating nearby devices, e.g., media devices and / or smartphone), a payment API, a UIKit API (e.g., for generating user interfaces), a location detection API, a locator API, a maps API, a health sensor API, a sensor API, a messaging API, a push notification API, a streaming API, a collaboration API, a video conferencing API, an application store API, an advertising services API, a web browser API (e.g., WebKit API), a vehicle API, a networking API, a WiFi API, a Bluetooth API, an NFC API, a UWB API, a fitness API, a smart home API, contact transfer API, photos API, camera API, and / or image processing API. In some embodiments, the sensor API is an API for accessing data associated with a sensor of device 3150. For example, the sensor API can provide access to raw sensor data. For another example, the sensor API can provide data derived (and / or generated) from the raw sensor data. In some embodiments, the sensor data includes temperature data, image data, video data, audio data, heart rate data, IMU (inertial measurement unit) data, lidar data, location data, GPS data, and / or camera data. In some embodiments, the sensor includes one or more of an accelerometer, temperature sensor, infrared sensor, optical sensor, heartrate sensor, barometer, gyroscope, proximity sensor, temperature sensor, and / or biometric sensor.

[0179] In some embodiments, implementation module 3100 is a system (e.g., operating system and / or server system) software module (e.g., a collection of computer-readable instructions) that is constructed to perform an operation in response to receiving an API call via API 3190. In some embodiments, implementation module 3100 is constructed to provide an API response (via API 3190) as a result of processing an API call. By way of example, implementation module 3100 and API-calling module 3180 can each be any one of an operating system, a library, a device driver, an API, an application program, or other module. It should be understood that implementation module 3100 and API-calling module 3180 can be the same or different type of module from each other. In some embodiments, implementation module 3100 is embodied at least in part in firmware, microcode, or hardware logic.

[0180] In some embodiments, implementation module 3100 returns a value through API 3190 in response to an API call from API-calling module 3180. While API 3190 defines the syntax and result of an API call (e.g., how to invoke the API call and what the API call does), API 3190 might not reveal how implementation module 3100 accomplishes the function specified by the API call. Various API calls are transferred via the one or more application programming interfaces between API-calling module 3180 and implementation module 3100. Transferring the API calls can include issuing, initiating, invoking, calling, receiving, returning, and / or responding to the function calls or messages. In other words, transferring can describe actions by either of API-calling module 3180 or implementation module 3100. In some embodiments, a function call or other invocation of API 3190 sends and / or receives one or more parameters through a parameter list or other structure.

[0181] In some embodiments, implementation module 3100 provides more than one API, each providing a different view of or with different aspects of functionality implemented by implementation module 3100. For example, one API of implementation module 3100 can provide a first set of functions and can be exposed to third-party developers, and another API of implementation module 3100 can be hidden (e.g., not exposed) and provide a subset of the first set of functions and also provide another set of functions, such as testing or debugging functions which are not in the first set of functions. In some embodiments, implementation module 3100 calls one or more other components via an underlying API and thus is both an API-calling module and an implementation module. It should be recognized that implementation module 3100 can include additional functions, methods, classes, data structures, and / or other features that are not specified through API 3190 and are not available to API-calling module 3180. It should also be recognized that API-calling module 3180 can be on the same system as implementation module 3100 or can be located remotely and access implementation module 3100 using API 3190 over a network. In some embodiments, implementation module 3100, API 3190, and / or API-calling module 3180 is stored in a machine-readable medium, which includes any mechanism for storing information in a form readable by a machine (e.g., a computer or other data processing system). For example, a machine-readable medium can include magnetic disks, optical disks, random access memory; read only memory, and / or flash memory devices.

[0182] An application programming interface (API) is an interface between a first software process and a second software process that specifies a format for communication between the first software process and the second software process. Limited APIs (e.g., private APIs or partner APIs) are APIs that are accessible to a limited set of software processes (e.g., only software processes within an operating system or only software processes that are approved to access the limited APIs). Public APIs that are accessible to a wider set of software processes.

[0183] Some APIs enable software processes to communicate about or set a state of one or more input devices (e.g., one or more touch sensors, proximity sensors, visual sensors, motion / orientation sensors, pressure sensors, intensity sensors, sound sensors, wireless proximity sensors, biometric sensors, buttons, switches, rotatable elements, and / or external controllers). Some APIs enable software processes to communicate about and / or set a state of one or more output generation components (e.g., one or more audio output generation components, one or more display generation components, and / or one or more tactile output generation components). Some APIs enable particular capabilities (e.g., scrolling, handwriting, text entry, image editing, and / or image creation) to be accessed, performed, and / or used by a software process (e.g., generating outputs for use by a software process based on input from the software process). Some APIs enable content from a software process to be inserted into a template and displayed in a user interface that has a layout and / or behaviors that are specified by the template.

[0184] Many software platforms include a set of frameworks that provides the core objects and core behaviors that a software developer needs to build software applications that can be used on the software platform. Software developers use these objects to display content onscreen, to interact with that content, and to manage interactions with the software platform. Software applications rely on the set of frameworks for their basic behavior, and the set of frameworks provides many ways for the software developer to customize the behavior of the application to match the specific needs of the software application. Many of these core objects and core behaviors are accessed via an API. An API will typically specify a format for communication between software processes, including specifying and grouping available variables, functions, and protocols. An API call (sometimes referred to as an API request) will typically be sent from a sending software process to a receiving software process as a way to accomplish one or more of the following: the sending software process requesting information from the receiving software process (e.g., for the sending software process to take action on), the sending software process providing information to the receiving software process (e.g., for the receiving software process to take action on), the sending software process requesting action by the receiving software process, or the sending software process providing information to the receiving software process about action taken by the sending software process. Interaction with a device (e.g., using a user interface) will in some circumstances include the transfer and / or receipt of one or more API calls (e.g., multiple API calls) between multiple different software processes (e.g., different portions of an operating system, an application and an operating system, or different applications) via one or more APIs (e.g., via multiple different APIs). For example, when an input is detected the direct sensor data is frequently processed into one or more input events that are provided (e.g., via an API) to a receiving software process that makes some determination based on the input events, and then sends (e.g., via an API) information to a software process to perform an operation (e.g., change a device state and / or user interface) based on the determination. While a determination and an operation performed in response could be made by the same software process, alternatively the determination could be made in a first software process and relayed (e.g., via an API) to a second software process, that is different from the first software process, that causes the operation to be performed by the second software process. Alternatively, the second software process could relay instructions (e.g., via an API) to a third software process that is different from the first software process and / or the second software process to perform the operation. It should be understood that some or all user interactions with a computer system could involve one or more API calls within a step of interacting with the computer system (e.g., between different software components of the computer system or between a software component of the computer system and a software component of one or more remote computer systems). It should be understood that some or all user interactions with a computer system could involve one or more API calls between steps of interacting with the computer system (e.g., between different software components of the computer system or between a software component of the computer system and a software component of one or more remote computer systems).

[0185] In some embodiments, the application can be any suitable type of application, including, for example, one or more of: a browser application, an application that functions as an execution environment for plug-ins, widgets or other applications, a fitness application, a health application, a digital payments application, a media application, a social network application, a messaging application, and / or a maps application.

[0186] In some embodiments, the application is an application that is pre-installed on the first computer system at purchase (e.g., a first-party application). In some embodiments, the application is an application that is provided to the first computer system via an operating system update file (e.g., a first-party application). In some embodiments, the application is an application that is provided via an application store. In some embodiments, the application store is pre-installed on the first computer system at purchase (e.g., a first-party application store) and allows download of one or more applications. In some embodiments, the application store is a third-party application store (e.g., an application store that is provided by another device, downloaded via a network, and / or read from a storage device). In some embodiments, the application is a third-party application (e.g., an app that is provided by an application store, downloaded via a network, and / or read from a storage device). In some embodiments, the application controls the first computer system to perform method 700, 900, and / or 1100 (FIGS. 7, 9, and / or 11) by calling an application programming interface (API) provided by the system process using one or more parameters.

[0187] In some embodiments, exemplary APIs provided by the system process include one or more of: a pairing API (e.g., for establishing secure connection, e.g., with an accessory), a device detection API (e.g., for locating nearby devices, e.g., media devices and / or smartphone), a payment API, a UIKit API (e.g., for generating user interfaces), a location detection API, a locator API, a maps API, a health sensor API, a sensor API, a messaging API, a push notification API, a streaming API, a collaboration API, a video conferencing API, an application store API, an advertising services API, a web browser API (e.g., WebKit API), a vehicle API, a networking API, a WiFi API, a Bluetooth API, an NFC API, a UWB API, a fitness API, a smart home API, contact transfer API, a photos API, a camera API, and / or an image processing API.

[0188] In some embodiments, at least one API is a software module (e.g., a collection of computer-readable instructions) that provides an interface that allows a different module (e.g., API-calling module 3180) to access and use one or more functions, methods, procedures, data structures, classes, and / or other services provided by an implementation module of the system process. The API can define one or more parameters that are passed between the API-calling module and the implementation module. In some embodiments, API 3190 defines a first API call that can be provided by API-calling module 3180. The implementation module is a system software module (e.g., a collection of computer-readable instructions) that is constructed to perform an operation in response to receiving an API call via the API. In some embodiments, the implementation module is constructed to provide an API response (via the API) as a result of processing an API call. In some embodiments, the implementation module is included in the device (e.g., 3150) that runs the application. In some embodiments, the implementation module is included in an electronic device that is separate from the device that runs the application.

[0189] Attention is now directed towards embodiments of user interfaces that are, optionally, implemented on, for example, portable multifunction device 100.

[0190] FIG. 4A illustrates an exemplary user interface for a menu of applications on portable multifunction device 100 in accordance with some embodiments. Similar user interfaces are, optionally, implemented on device 300. In some embodiments, user interface 400 includes the following elements, or a subset or superset thereof:

[0191] Signal strength indicator(s) 402 for wireless communication(s), such as cellular and Wi-Fi signals;

[0192] Time 404;

[0193] Bluetooth indicator 405;

[0194] Battery status indicator 406;

[0195] Tray 408 with icons for frequently used applications, such as:

[0196] Icon 416 for telephone module 138, labeled “Phone,” which optionally includes an indicator 414 of the number of missed calls or voicemail messages;

[0197] Icon 418 for e-mail client module 140, labeled “Mail,” which optionally includes an indicator 410 of the number of unread e-mails;

[0198] Icon 420 for browser module 147, labeled “Browser;” and

[0199] Icon 422 for video and music player module 152, also referred to as iPod (trademark of Apple Inc.) module 152, labeled “iPod;” and

[0200] Icons for other applications, such as:

[0201] Icon 424 for IM module 141, labeled “Messages;”

[0202] Icon 426 for calendar module 148, labeled “Calendar;”

[0203] Icon 428 for image management module 144, labeled “Photos;”

[0204] Icon 430 for camera module 143, labeled “Camera;”

[0205] Icon 432 for online video module 155, labeled “Online Video;”

[0206] Icon 434 for stocks widget 149-2, labeled “Stocks;”

[0207] Icon 436 for map module 154, labeled “Maps;”

[0208] Icon 438 for weather widget 149-1, labeled “Weather;”

[0209] Icon 440 for alarm clock widget 149-4, labeled “Clock;”

[0210] Icon 442 for workout support module 142, labeled “Workout Support;”

[0211] Icon 444 for notes module 153, labeled “Notes;” and

[0212] Icon 446 for a settings application or module, labeled “Settings,” which provides access to settings for device 100 and its various applications 136.

[0213] It should be noted that the icon labels illustrated in FIG. 4A are merely exemplary. For example, icon 422 for video and music player module 152 is labeled “Music” or “Music Player.” Other labels are, optionally, used for various application icons. In some embodiments, a label for a respective application icon includes a name of an application corresponding to the respective application icon. In some embodiments, a label for a particular application icon is distinct from a name of an application corresponding to the particular application icon.

[0214] FIG. 4B illustrates an exemplary user interface on a device (e.g., device 300, FIG. 3A) with a touch-sensitive surface 451 (e.g., a tablet or touchpad 355, FIG. 3A) that is separate from the display 450 (e.g., touch screen display 112). Device 300 also, optionally, includes one or more contact intensity sensors (e.g., one or more of sensors 359) for detecting intensity of contacts on touch-sensitive surface 451 and / or one or more tactile output generators 357 for generating tactile outputs for a user of device 300.

[0215] Although some of the examples that follow will be given with reference to inputs on touch screen display 112 (where the touch-sensitive surface and the display are combined), in some embodiments, the device detects inputs on a touch-sensitive surface that is separate from the display, as shown in FIG. 4B. In some embodiments, the touch-sensitive surface (e.g., touch-sensitive surface 451 in FIG. 4B) has a primary axis (e.g., 452 in FIG. 4B) that corresponds to a primary axis (e.g., 453 in FIG. 4B) on the display (e.g., display 450). In accordance with these embodiments, the device detects contacts (e.g., contact 460 and contact 462 in FIG. 4B) with the touch-sensitive surface 451 at locations that correspond to respective locations on the display (e.g., in FIG. 4B, contact 460 corresponds to 468 and contact 462 corresponds to 470). In this way, user inputs (e.g., contacts 460 and 462, and movements thereof) detected by the device on the touch-sensitive surface (e.g., touch-sensitive surface 451 in FIG. 4B) are used by the device to manipulate the user interface on the display (e.g., display 450 in FIG. 4B) of the multifunction device when the touch-sensitive surface is separate from the display. It should be understood that similar methods are, optionally, used for other user interfaces described herein.

[0216] Additionally, while the following examples are given primarily with reference to finger inputs (e.g., finger contacts, finger tap gestures, finger swipe gestures), it should be understood that, in some embodiments, one or more of the finger inputs are replaced with input from another input device (e.g., a mouse-based input or stylus input). For example, a swipe gesture is, optionally, replaced with a mouse click (e.g., instead of a contact) followed by movement of the cursor along the path of the swipe (e.g., instead of movement of the contact). As another example, a tap gesture is, optionally, replaced with a mouse click while the cursor is located over the location of the tap gesture (e.g., instead of detection of the contact followed by ceasing to detect the contact). Similarly, when multiple user inputs are simultaneously detected, it should be understood that multiple computer mice are, optionally, used simultaneously, or a mouse and finger contacts are, optionally, used simultaneously.

[0217] FIG. 5A illustrates exemplary personal electronic device 500. Device 500 includes body 502. In some embodiments, device 500 can include some or all of the features described with respect to devices 100 and 300 (e.g., FIGS. 1A-4B). In some embodiments, device 500 has touch-sensitive display screen 504, hereafter touch screen 504. Alternatively, or in addition to touch screen 504, device 500 has a display and a touch-sensitive surface. As with devices 100 and 300, in some embodiments, touch screen 504 (or the touch-sensitive surface) optionally includes one or more intensity sensors for detecting intensity of contacts (e.g., touches) being applied. The one or more intensity sensors of touch screen 504 (or the touch-sensitive surface) can provide output data that represents the intensity of touches. The user interface of device 500 can respond to touches based on their intensity, meaning that touches of different intensities can invoke different user interface operations on device 500.

[0218] Exemplary techniques for detecting and processing touch intensity are found, for example, in related applications: International Patent Application Serial No. PCT / US2013 / 040061, titled “Device, Method, and Graphical User Interface for Displaying User Interface Objects Corresponding to an Application,” filed May 8, 2013, published as WIPO Publication No. WO / 2013 / 169849, and International Patent Application Serial No. PCT / US2013 / 069483, titled “Device, Method, and Graphical User Interface for Transitioning Between Touch Input to Display Output Relationships,” filed Nov. 11, 2013, published as WIPO Publication No. WO / 2014 / 105276, each of which is hereby incorporated by reference in their entirety.

[0219] In some embodiments, device 500 has one or more input mechanisms 506 and 508. Input mechanisms 506 and 508, if included, can be physical. Examples of physical input mechanisms include push buttons and rotatable mechanisms. In some embodiments, device 500 has one or more attachment mechanisms. Such attachment mechanisms, if included, can permit attachment of device 500 with, for example, hats, eyewear, earrings, necklaces, shirts, jackets, bracelets, watch straps, chains, trousers, belts, shoes, purses, backpacks, and so forth. These attachment mechanisms permit device 500 to be worn by a user.

[0220] FIG. 5B depicts exemplary personal electronic device 500. In some embodiments, device 500 can include some or all of the components described with respect to FIGS. 1A, 1B, and 3A. Device 500 has bus 512 that operatively couples I / O section 514 with one or more computer processors 516 and memory 518. I / O section 514 can be connected to display screen 504, which can have touch-sensitive component 522 and, optionally, intensity sensor 524 (e.g., contact intensity sensor). In addition, I / O section 514 can be connected with communication unit 530 for receiving application and operating system data, using Wi-Fi, Bluetooth, near field communication (NFC), cellular, and / or other wireless communication techniques. Device 500 can include input mechanisms 506 and / or 508. Input mechanism 506 is, optionally, a rotatable input device or a depressible and rotatable input device, for example. Input mechanism 508 is, optionally, a button, in some examples.

[0221] Input mechanism 508 is, optionally, a microphone, in some examples. Personal electronic device 500 optionally includes various sensors, such as GPS sensor 532, accelerometer 534, directional sensor 540 (e.g., compass), gyroscope 536, motion sensor 538, and / or a combination thereof, all of which can be operatively connected to I / O section 514.

[0222] Memory 518 of personal electronic device 500 can include one or more non-transitory computer-readable storage media, for storing computer-executable instructions, which, when executed by one or more computer processors 516, for example, can cause the computer processors to perform the techniques described below, including processes 700, 900, and / or 1100 (FIGS. 7, 9, and / or 11). A computer-readable storage medium can be any medium that can tangibly contain or store computer-executable instructions for use by or in connection with the instruction execution system, apparatus, or device. In some examples, the storage medium is a transitory computer-readable storage medium. In some examples, the storage medium is a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium can include, but is not limited to, magnetic, optical, and / or semiconductor storages. Examples of such storage include magnetic disks, optical discs based on CD, DVD, or Blu-ray® technologies, as well as persistent solid-state memory such as flash, solid-state drives, and the like. Personal electronic device 500 is not limited to the components and configuration of FIG. 5B, but can include other or additional components in multiple configurations.

[0223] As used here, the term “affordance” refers to a user-interactive graphical user interface object that is, optionally, displayed on the display screen of devices 100, 300, and / or 500 (FIGS. 1A, 3A, and 5A-5B). For example, an image (e.g., icon), a button, and text (e.g., hyperlink) each optionally constitute an affordance.

[0224] As used herein, the term “focus selector” refers to an input element that indicates a current part of a user interface with which a user is interacting. In some implementations that include a cursor or other location marker, the cursor acts as a “focus selector” so that when an input (e.g., a press input) is detected on a touch-sensitive surface (e.g., touchpad 355 in FIG. 3A or touch-sensitive surface 451 in FIG. 4B) while the cursor is over a particular user interface element (e.g., a button, window, slider, or other user interface element), the particular user interface element is adjusted in accordance with the detected input. In some implementations that include a touch screen display (e.g., touch-sensitive display system 112 in FIG. 1A or touch screen 112 in FIG. 4A) that enables direct interaction with user interface elements on the touch screen display, a detected contact on the touch screen acts as a “focus selector” so that when an input (e.g., a press input by the contact) is detected on the touch screen display at a location of a particular user interface element (e.g., a button, window, slider, or other user interface element), the particular user interface element is adjusted in accordance with the detected input. In some implementations, focus is moved from one region of a user interface to another region of the user interface without corresponding movement of a cursor or movement of a contact on a touch screen display (e.g., by using a tab key or arrow keys to move focus from one button to another button); in these implementations, the focus selector moves in accordance with movement of focus between different regions of the user interface. Without regard to the specific form taken by the focus selector, the focus selector is generally the user interface element (or contact on a touch screen display) that is controlled by the user so as to communicate the user's intended interaction with the user interface (e.g., by indicating, to the device, the element of the user interface with which the user is intending to interact). For example, the location of a focus selector (e.g., a cursor, a contact, or a selection box) over a respective button while a press input is detected on the touch-sensitive surface (e.g., a touchpad or touch screen) will indicate that the user is intending to activate the respective button (as opposed to other user interface elements shown on a display of the device).

[0225] As used in the specification and claims, the term “characteristic intensity” of a contact refers to a characteristic of the contact based on one or more intensities of the contact. In some embodiments, the characteristic intensity is based on multiple intensity samples. The characteristic intensity is, optionally, based on a predefined number of intensity samples, or a set of intensity samples collected during a predetermined time period (e.g., 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10 seconds) relative to a predefined event (e.g., after detecting the contact, prior to detecting liftoff of the contact, before or after detecting a start of movement of the contact, prior to detecting an end of the contact, before or after detecting an increase in intensity of the contact, and / or before or after detecting a decrease in intensity of the contact). A characteristic intensity of a contact is, optionally, based on one or more of: a maximum value of the intensities of the contact, a mean value of the intensities of the contact, an average value of the intensities of the contact, a top 10 percentile value of the intensities of the contact, a value at the half maximum of the intensities of the contact, a value at the 90 percent maximum of the intensities of the contact, or the like. In some embodiments, the duration of the contact is used in determining the characteristic intensity (e.g., when the characteristic intensity is an average of the intensity of the contact over time). In some embodiments, the characteristic intensity is compared to a set of one or more intensity thresholds to determine whether an operation has been performed by a user. For example, the set of one or more intensity thresholds optionally includes a first intensity threshold and a second intensity threshold. In this example, a contact with a characteristic intensity that does not exceed the first threshold results in a first operation, a contact with a characteristic intensity that exceeds the first intensity threshold and does not exceed the second intensity threshold results in a second operation, and a contact with a characteristic intensity that exceeds the second threshold results in a third operation. In some embodiments, a comparison between the characteristic intensity and one or more thresholds is used to determine whether or not to perform one or more operations (e.g., whether to perform a respective operation or forgo performing the respective operation), rather than being used to determine whether to perform a first operation or a second operation.

[0226] As used herein, an “installed application” refers to a software application that has been downloaded onto an electronic device (e.g., devices 100, 300, and / or 500) and is ready to be launched (e.g., become opened) on the device. In some embodiments, a downloaded application becomes an installed application by way of an installation program that extracts program portions from a downloaded package and integrates the extracted portions with the operating system of the computer system.

[0227] As used herein, the terms “open application” or “executing application” refer to a software application with retained state information (e.g., as part of device / global internal state 157 and / or application internal state 192). An open or executing application is, optionally, any one of the following types of applications:

[0228] an active application, which is currently displayed on a display screen of the device that the application is being used on;

[0229] a background application (or background processes), which is not currently displayed, but one or more processes for the application are being processed by one or more processors; and

[0230] a suspended or hibernated application, which is not running, but has state information that is stored in memory (volatile and non-volatile, respectively) and that can be used to resume execution of the application.

[0231] As used herein, the term “closed application” refers to software applications without retained state information (e.g., state information for closed applications is not stored in a memory of the device). Accordingly, closing an application includes stopping and / or removing application processes for the application and removing state information for the application from the memory of the device. Generally, opening a second application while in a first application does not close the first application. When the second application is displayed and the first application ceases to be displayed, the first application becomes a background application.

[0232] In some embodiments, the computer system is in a locked state or an unlocked state. In the locked state, the computer system is powered on and operational but is prevented from performing a predefined set of operations in response to user input. The predefined set of operations optionally includes navigation between user interfaces, activation or deactivation of a predefined set of functions, and activation or deactivation of certain applications. The locked state can be used to prevent unintentional or unauthorized use of some functionality of the computer system or activation or deactivation of some functions on the computer system. In some embodiments, in the unlocked state, the computer system is powered on and operational and is not prevented from performing at least a portion of the predefined set of operations that cannot be performed while in the locked state. When the computer system is in the locked state, the computer system is said to be locked. When the computer system is in the unlocked state, the computer is said to be unlocked. In some embodiments, the computer system in the locked state optionally responds to a limited set of user inputs, including input that corresponds to an attempt to transition the computer system to the unlocked state or input that corresponds to powering the computer system off.

[0233] As described herein, content is automatically generated by one or more computers in response to a request to generate the content. The automatically-generated content is optionally generated on-device (e.g., generated at least in part by a computer system at which a request to generate the content is received) and / or generated off-device (e.g., generated at least in part by one or more nearby computers that are available via a local network or one or more computers that are available via the internet). This automatically-generated content optionally includes visual content (e.g., images, graphics, and / or video), audio content, and / or text content.

[0234] In some embodiments, novel automatically-generated content that is generated via one or more artificial intelligence (AI) processes is referred to as generative content (e.g., generative images, generative graphics, generative video, generative audio, and / or generative text). Generative content is typically generated by an AI process based on a prompt that is provided to the AI process. An AI process typically uses one or more AI models to generate an output based on an input. An AI process optionally includes one or more pre-processing steps to adjust the input before it is used by the AI model to generate an output (e.g., adjustment to a user-provided prompt, creation of a system-generated prompt, and / or AI model selection). An AI process optionally includes one or more post-processing steps to adjust the output by the AI model (e.g., passing AI model output to a different AI model, upscaling, downscaling, cropping, formatting, and / or adding or removing metadata) before the output of the AI model used for other purposes such as being provided to a different software process for further processing or being presented (e.g., visually or audibly) to a user. An AI process that generates generative content is sometimes referred to as a generative AI process.

[0235] A prompt for generating generative content can include one or more of: one or more words (e.g., a natural language prompt that is written or spoken), one or more images, one or more drawings, and / or one or more videos. AI processes can include machine learning models including neural networks. Neural networks can include transformer-based deep neural networks such as large language models (LLMs). Generative pre-trained transformer models are a type of LLM that can be effective at generating novel generative content based on a prompt. Some AI processes use a prompt that includes text to generate either different generative text, generative audio content, and / or generative visual content. Some AI processes use a prompt that includes visual content and / or an audio content to generate generative text (e.g., a transcription of audio and / or a description of the visual content). Some multi-modal AI processes use a prompt that includes multiple types of content (e.g., text, images, audio, video, and / or other sensor data) to generate generative content. A prompt sometimes also includes values for one or more parameters indicating an importance of various parts of the prompt. Some prompts include a structured set of instructions that can be understood by an AI process that include phrasing, a specified style, relevant context (e.g., starting point content and / or one or more examples), and / or a role for the AI process.

[0236] Generative content is generally based on the prompt but is not deterministically selected from pre-generated content and is, instead, generated using the prompt as a starting point. In some embodiments, pre-existing content (e.g., audio, text, and / or visual content) is used as part of the prompt for creating generative content (e.g., the pre-existing content is used as a starting point for creating the generative content). For example, a prompt could request that a block of text be summarized or rewritten in a different tone, and the output would be generative text that is summarized or written in the different tone. Similarly, a prompt could request that visual content be modified to include or exclude content specified by a prompt (e.g., removing an identified feature in the visual content, adding a feature to the visual content that is described in a prompt, changing a visual style of the visual content, and / or creating additional visual elements outside of a spatial or temporal boundary of the visual content that are based on the visual content). In some embodiments, a random or pseudo-random seed is used as part of the prompt for creating generative content (e.g., the random or pseud-random seed content is used as a starting point for creating the generative content). For example, when generating an image from a diffusion model, a random noise pattern is iteratively denoised based on the prompt to generate an image that is based on the prompt. While specific types of AI processes have been described herein, it should be understood that a variety of different AI processes could be used to generate generative content based on a prompt.

[0237] Attention is now directed towards embodiments of user interfaces (“UI”) and associated processes that are implemented on an electronic device, such as portable multifunction device 100, device 300, or device 500.

[0238] FIGS. 6A-6Y illustrate exemplary user interfaces for providing personalized workout feedback, in accordance with some embodiments. The user interfaces in these figures are used to illustrate the processes described below, including the processes in FIG. 7.

[0239] FIG. 6A illustrates computer system 600, which is a smart phone with touch-sensitive display 602. In FIG. 6A, computer system 600 displays workout selection user interface 604. Workout selection user interface 604 displays various workout options for a user to select to initiate a workout session. Workout selection user interface 604 includes workout filtering options 604a-604d. Option 604a, when selected, causes computer system 600 to display one or more meditation workout options. Option 604b, when selected, causes computer system 600 to display one or more HIIT workout options. Option 604c, when selected, causes computer system 600 to display one or more yoga workout options. Option 604d, when selected, causes computer system 600 to display one or more core workout options. Workout selection user interface 604 also includes region 606 and region 608. Region 606 includes various workout options that correspond to workouts in which the user is able to receive real-time personalized feedback during the workout, as will be described in greater detail below. For example, in FIG. 6A, region 606 includes workout option 606a, which corresponds to a first workout (e.g., a 34-minute HIIT workout), and workout option 606b, which corresponds to a second workout (e.g., 20-minute yoga workout). In some embodiments, option 606a, when selected, causes computer system 600 to initiate playback of the first workout, and option 606b, when selected, causes computer system 600 to initiate playback of the second workout.

[0240] Region 608 includes various cycling workout options. For example, in FIG. 6A, region 608 includes workout option 608a, which corresponds to a first cycling workout, and option 608b, which corresponds to a second cycling workout. Option 608a, when selected, causes computer system 600 to initiate playback of the first cycling workout, and option 608b, when selected, causes computer system 600 to initiate playback of the second cycling workout.

[0241] Workout selection user interface 604 also includes options 604e-604g. Option 604e, when selected, causes computer system 600 to display a health summary corresponding to a user of computer system 600 which includes, for example, one or more daily health metrics corresponding to the user of computer system 600. Option 604f, when selected, causes computer system 600 to display workout selection user interface 604. Option 604g, when selected, causes computer system 600 to display physical activity metrics for one or more other users that have shared their physical activity metrics with the user of computer system 600.

[0242] In FIG. 6A, computer system 600 is being used by user 612, shown on the left side of FIG. 6A. User 612 is located within physical environment 614 (e.g., which, in FIG. 6A, is a room with a table and sofa) and is wearing wearable device 610 on her head. In the embodiment depicted in FIG. 6A, wearable device 610 is a set of headphones worn on the head of user 612. Wearable device 610 includes camera 610a on a right side of wearable device 610 and camera 610b on a left side of wearable device 610. The viewpoint of camera 610a is represented by region 610a-1, and the viewpoint of camera 610b is represented by region 610b-1. In some embodiments, camera 610a and / or camera 610b are used by computer system 600 and / or wearable device 610 to provide real-time personalized workout feedback to user 612, as will be described in greater detail below. In some embodiments, wearable device 610 is in communication with computer system 600 (e.g., wireless communication and / or wired communication). For example, in some embodiments, wearable device 610 outputs audio content based on information transmitted from computer system 600 to wearable device 610.

[0243] Additionally, in some embodiments, wearable device 610 captures visual information using camera 610a and / or camera 610b, and transmits the visual information to computer system 600 in order for computer system 600 to use the visual information to generate and / or provide real-time personalized workout feedback. These concepts will also be described in greater detail below. At FIG. 6A, computer system 600 detects user input 616, which is a touch input (e.g., a tap input) corresponding to selection of workout option 606a.

[0244] At FIG. 6B, in response to detecting user input 616, computer system 600 initiates playback of the first workout corresponding to workout option 606a, including displaying user interface 618. User interface 618 displays video playback of the first workout, which includes instructor 618a demonstrating one or more movements of the first workout. User interface 618 also includes workout metrics region 618b. In FIG. 6B, workout metrics region 618b includes workout metric 618b-1 (e.g., number of squat jumps completed), workout metric 618b-2 (e.g., speed of movement), workout metric 618b-3 (e.g., depth of squat), and workout metrics 618b-4 (e.g., jump height). In some embodiments, computer system 600 outputting playback of the first workout also includes outputting audio content corresponding to the first workout. In some embodiments, computer system 600 causes wearable device 610 to output audio content corresponding to the first workout (e.g., by transmitting audio data to wearable device 610). In FIG. 6B, computer system 600 causes wearable device 610 to output audio output 618c, which instructs user 612 to perform twenty squat jumps.

[0245] At FIG. 6C, computer system 600 continues to output playback of the first workout by displaying instructor 618a performing a first squat jump. Additionally, in FIG. 6C, user 612 starts her first squat jump by starting with a squat. It can be seen in FIG. 6C that, as user 612 performs the workout, the viewpoints of camera 610a and camera 610b (e.g., as represented by regions 610a-1 and 610b-1, respectively), changes. For example, from FIG. 6B to FIG. 6C, as user 612 performs a squat, the viewpoints of cameras 610a-610b get lower. In some embodiments, as user 612 performs the workout, camera 610a and / or camera 610b capture visual information and transmit this information to computer system 600. In some embodiments, computer system 600 (or, in some embodiments, wearable device 610) uses the visual information captured by camera 610a and / or camera 610b to determine the speed, magnitude, and / or direction of movement by user 612. For example, in FIG. 6C, computer system 600 uses visual information captured by camera 610a and / or camera 610b to determine that user 612 was moving at 1.3 m / s, and squatted to a depth of 61 cm, and displays this information within workout metrics region 618b.

[0246] At FIG. 6D, computer system 600 continues to output playback of the first workout by displaying instructor 618a jumping up. Additionally, in FIG. 6D, user 612 also completes her first squat jump by jumping up. From FIGS. 6C to 6D, camera 610a and / or camera 610b continue to capture visual information and wearable device 610 transmits this information to computer system 600. In FIG. 6D, computer system 600 uses the visual information from camera 610a and / or camera 610b to detect that user 612 has jumped to a jump height of 55 cm, and displays this information in workout metrics region 618b.

[0247] At FIG. 6E, computer system 600 determines that user 612 has now performed a full squat jump (e.g., based on visual information captured by camera 610a and / or camera 610b). In response to determining that user 612 has now performed a full squat jump, computer system 600 causes wearable device 610 to output audio feedback 618d, which informs the user that one squat jump has been detected by computer system 600, and also updates workout metric 618b-1 in workout metrics region 618b. In some embodiments, audio feedback 618d and other feedback discussed herein is automatically generated (e.g., using an AI process and / or a generative AI process) (e.g., in some embodiments, audio feedback 618d and / or other feedback includes generative content (e.g., generative audio content and / or generative visual content) that is dynamically generated in response to real-time inputs).

[0248] At FIG. 6F, computer system 600 continues to output playback of the first workout by displaying instructor 618a performing a second squat. Additionally, in FIG. 6F, user 612 starts her second squat jump. Camera 610a and / or camera 610b continue to capture visual information while user 612 performs her workout, and computer system 600 detects, based at least in part on the visual information from camera 610a and / or camera 610b, that user 612 is moving at a speed of 0.8 m / s and has squatted to a depth of 18 cm.

[0249] At FIG. 6G, computer system 600 continues to output playback of the first workout by displaying instructor 618a jumping up. Additionally, in FIG. 6G, user 612 also jumps up. From FIGS. 6F to 6G, camera 610a and / or camera 610b continue to capture visual information and wearable device 610 transmits this information to computer system 600. In FIG. 6G, computer system 600 uses the visual information from camera 610a and / or camera 610b to detect that user 612 has jumped to a jump height of 54 cm, and displays this information in workout metrics region 618b.

[0250] At FIG. 6H, computer system 600 determines that user 612 did not squat to a sufficient depth to meet the threshold requirement for a successful squat jump. In response to this determination, computer system 600 causes wearable device 610 to output audio feedback 618e, which informs the user that the most recent action did not meet the threshold squat depth requirement, and instructs the user to squat lower on the next attempt. Additionally, based on the determination that user 612 did not squat to a sufficient depth to meet the threshold requirement for a successful squat jump, computer system 600 maintains workout metric 618b-1 at “1” squat jump.

[0251] At FIG. 6I, computer system 600 continues to output playback of the first workout by displaying instructor 618a performing a third squat. Additionally, in FIG. 6I, user 612 starts her third squat jump. Camera 610a and / or camera 610b continue to capture visual information while user 612 performs her workout, and computer system 600 detects, based at least in part on the visual information from camera 610a and / or camera 610b, that user 612 is moving at a speed of 1.3 m / s and has squatted to a depth of 58 cm.

[0252] At FIG. 6J, computer system 600 continues to output playback of the first workout by displaying instructor 618a jumping up. Additionally, in FIG. 6J, user 612 also jumps up. From FIGS. 6I to 6J, camera 610a and / or camera 610b continue to capture visual information, and wearable device 610 transmits this information to computer system 600. In FIG. 6J, computer system 600 detects, based at least in part on the visual information from camera 610a and / or camera 610b, that user 612 has jumped to a jump height of 60 cm and displays this information in workout metrics region 618b.

[0253] At FIG. 6K, computer system 600 determines that user 612 has now performed a full squat jump (e.g., based at least in part on visual information captured by camera 610a and / or camera 610b). In response to determining that user 612 has now performed a full squat jump, computer system 600 causes wearable device 610 to output audio feedback 618f, which indicates that the most recent action met the threshold squat depth requirement. Additionally, based on the determination that user 612 squatted to a sufficient depth to meet the threshold requirement for a successful squat jump, computer system 600 updates workout metric 618b-1 to “2” in workout metrics region 618b.

[0254] FIG. 6L depicts user 612 and computer system 600 at a later point in the workout in which user 612 has completed 20 squat jumps, as indicated in workout metrics region 618b. In FIG. 6L, computer system 600 further progresses playback of the first workout by causing wearable device 610 to output audio feedback 618g, which instructs user 612 to now perform twenty controlled lunges.

[0255] At FIG. 6M, computer system 600 updates workout metrics region 618b to include different workout metrics for controlled lunges. For the controlled lunge portion of the first workout, workout metrics region 618b includes workout metric 618b-5 (e.g., number of lunges completed), workout metric 618b-6 (e.g., speed of lunge and / or speed of movement), and workout metric 618b-7 (e.g., depth of lunge and / or depth of movement).

[0256] At FIG. 6N, computer system 600 continues to output playback of the first workout by displaying instructor 618a performing a first lunge. Additionally, in FIG. 6N, user 612 starts her first lunge. It can be seen in FIG. 6N that, as user 612 performs the workout, the viewpoints of camera 610a and camera 610b (e.g., as represented by regions 610a-1 and 610b-1, respectively), change. For example, from FIG. 6M to FIG. 6N, as user 612 performs a lunge, the viewpoints of cameras 610a-610b get lower (and, for example, may also move forward). In some embodiments, as user 612 performs the workout, camera 610a and / or camera 610b capture visual information and transmit this information to computer system 600. As discussed above, in some embodiments, computer system 600 (or, in some embodiments, wearable device 610) uses the visual information captured by camera 610a and / or 610b to determine the speed, magnitude, and / or direction of movement by user 612. For example, in FIG. 6N, computer system 600 uses visual information captured by camera 610a and / or camera 610b to determine that in performing her first lunge, user 612 moved at a speed of 1.9 m / s and to a depth of 103 cm. Computer system 600 displays this information within workout metrics region 618b.

[0257] At FIG. 6O, user 612 stands back up after performing a first lunge. At FIG. 6O, computer system 600 determines, based at least in part on the visual information captured by camera 610a and / or camera 610b that the first lunge performed by user 612 had sufficient depth to meet a threshold depth requirement to qualify as a successful lunge. Additionally, at FIG. 6O, computer system 600 also determines, based at least in part on the visual information captured by camera 610a and / or camera 610b, that the first lunge performed by user 612 was performed slightly faster than a desired and / or optimal speed. In response to these determinations, computer system 600 causes wearable device 610 to output audio feedback 618h, which informs the user that the most recent action met the threshold lunge depth requirement while also instructing the user to move at a slower speed. Additionally, based on the determination that user 612 lunged to a sufficient depth to meet the threshold requirement for a successful lunge, computer system 600 updates workout metric 618b-5 to reflect that the user has completed one lunge.

[0258] At FIG. 6P, computer system 600 continues to output playback of the first workout by displaying instructor 618a performing a second lunge with their other leg. Additionally, in FIG. 6P, user 612 starts her second lunge with her other leg. Camera 610a and / or camera 610b continue to capture visual information while user 612 performs her workout, and wearable device 610 transmits this information to computer system 600. Computer system 600 detects, based at least in part on the visual information from camera 610a and / or camera 610b, that user 612 lunged at a speed of 1.0 m / s and to a depth of 102 cm, and displays this information within workout metrics region 618b.

[0259] At FIG. 6Q, computer system 600 determines, based at least in part on visual information captured by camera 610a and / or camera 610b, that user 612 has stood up and / or completed their second lunge. In response to determining that user 612 has now stood up from their second lunge, computer system 600 causes wearable device 610 to output audio feedback 618i, which indicates that the most recent action met the threshold lunge depth requirement, and also indicates that user 612 successfully slowed down their movement as they were previously instructed. Additionally, based on the determination that user 612 lunged to a sufficient depth to meet the threshold requirement for a successful lunge, computer system 600 updates workout metric 618b-5 to indicate that user 612 has completed two lunges.

[0260] FIG. 6R depicts user 612 and computer system 600 at a later point in the workout in which user 612 has completed a primary portion of the workout, and the workout has progressed to a cooldown portion to end the workout. Computer system 600 causes wearable device 610 to output audio feedback 620a, which instructs the user to touch her toes for ten seconds. In some embodiments, computer system 600 and / or wearable device 610 output spatialized audio, in which respective different portions of audio output are output to give the effect of respective portions of the audio output emanating from respective different locations relative to the user. Although these spatialized audio features are being described herein with reference to a cooldown portion of the workout, in various embodiments, spatialized audio is utilized in any portion of the workout. On the right side of FIG. 6R, audio environment 630 depicts the simulated positions of different portions of the audio output that is output by wearable device 610 and / or computer system 600 relative to user 612. Audio environment 630 includes locations of different audio outputs 630b-630e relative to representation 630a that is representative of the location of user 612. For example, in FIG. 6R, the audio output from wearable device 610 and / or computer system 600 (e.g., audio output 620a) includes trainer audio 630b (e.g., spoken words and / or instructions from the trainer), piano audio 630c, hi-hat audio 630d, and synthesizer audio 630e. Audio environment 630 indicates that trainer audio 630b is output to give the effect of emanating from a position directly in front of user 612 (who is represented by representation 630a in audio environment 630); piano audio 630c is output to give the effect of emanating from a position in front of and to the left of user 612; hi-hat audio 630d is output to give the effect of emanating from a position in front of and to the right of user 612; and synthesizer audio 630e is output to give the effect of emanating from a position in front of user 612 and behind trainer audio 630b.

[0261] At FIG. 6S, computer system 600 detects, based at least in part based on visual information captured by camera 610a and / or camera 610b, that user 612 is bending down. It can be seen in FIG. 6S that, as user 612 bends down, the viewpoints of camera 610a and camera 610b (e.g., as represented by regions 610a-1 and 610b-1, respectively), change. For example, from FIG. 6R to FIG. 6S, as user 612 bends down, the viewpoints of cameras 610a-610b get lower. Also, the viewpoints of cameras 610a-610b may become rotated as user 612 bends down (not illustrated). As user 612 bends down, camera 610a and / or camera 610b continue to capture visual information, and wearable device 610 transmits this information to computer system 600. In FIG. 6S, computer system 600 uses the visual information from camera 610a and / or 610b to detect that user 612 has bent down. In response to detecting this movement by user 612 (and, for example, determining that user 612 is performing the instructed action of touching her toes), computer system 600 causes wearable device 610 to output audio feedback 620b, which counts the duration of the bending down action by user 612. In FIG. 6S, as user 612 performs the action of touching her toes, computer system 600 causes wearable device 610 to output audio output (e.g., audio output 620b) that includes an additional audio component 630f that corresponds to and / or is indicative of user 612 performing the action of touching her toes (e.g., a sound and / or collection of sounds that is played while it is detected that user 612 is performing the action of touching her toes). As seen in audio environment 630, audio component 630f is output in such a way as to give the effect of emanating from a position directly in front of user 612 (represented by representation 630a).

[0262] At FIG. 6T, computer system 600 detects, based at least in part on visual information captured by camera 610a and / or camera 610b, that user 612 has maintained the bent down position for ten seconds. In response to this determination, computer system continues to output playback of the first workout by causing wearable device 610 to output audio feedback 620c, which counts the duration of the bending down action by the user and then informs user 612 to stand back up once the user has completed ten seconds of touching her toes. While user 612 is still in the bent down position, the audio output that is output by wearable device 610 continues to include audio component 630f.

[0263] At FIG. 6U, computer system 600 detects, based at least in part on visual information captured by camera 610a and / or camera 610b, that user 612 has stood up after completing ten seconds of touching her toes. In response to this determination, computer system 600 causes wearable device 610 to output audio feedback 620d, which instructs user 612 to perform the next cool down movement (e.g., a twist to the left). Additionally, based on the determination that user 612 is no longer touching her toes, the audio output that is output by wearable device 610 and / or computer system 600 no longer includes audio component 630f.

[0264] At FIG. 6V, user 612 twists her body to the left. It can be seen in FIG. 6V that, as user 612 twists to the left, the viewpoints of camera 610a and camera 610b change. For example, from FIG. 6U to FIG. 6V, as user 612 twists to the left, the viewpoint of camera 610a turns left to face in front of the user's body and the viewpoint of camera 610b turns left to face the back of the user's body. As user 612 twists to the left, camera 610a and / or camera 610b continue to capture visual information, and wearable device 610 transmits this information to computer system 600. In FIG. 6V, computer system 600 uses the visual information from camera 610a and / or 610b to detect that user 612 has twisted to the left. In response to detecting that user 612 has twisted to the left, computer system 600 causes wearable device 610 to output audio output 620e, which counts the duration of user 612 performing the twist left movement. Additionally, while computer system 600 detects that user 612 is performing the twist left movement, computer system 600 causes wearable device 610 to output audio output that includes audio component 630g (e.g., a sound and / or collection of sounds that are indicative of user 612 performing the twist left movement). In the depicted embodiments, audio component 630g is output in such a way as to give the effect of emanating from a position to the left of user 612 (represented by representation 630a).

[0265] At FIG. 6W, user 612 continues the twist left movement. Computer system 600 detects, based at least in part on visual information captured by camera 610a and / or camera 610b, that user 612 is continuing the twist left movement and, in response, computer system 600 causes wearable device 610 to output audio feedback 620f, which counts the duration of the twist left movement by user 612 until the ten second threshold duration is reached. Furthermore, while computer system 600 continues to detect that user 612 is twisting her body to the left (e.g., based at least in part on the visual information from camera 610a and / or 610b), computer system 600 continues to cause wearable device 610 to output audio output that includes audio component 630g that emanates from a position to the left of user 612.

[0266] At FIG. 6X, user 612 twists her body to the right. It can be seen in FIG. 6X that, as user 612 twists to the right, the viewpoints of camera 610a and camera 610b change. As user 612 twists to the right, camera 610a and / or camera 610b continue to capture visual information, and wearable device 610 transmits this information to computer system 600. In FIG. 6X, computer system 600 uses the visual information from camera 610a and / or 610b to detect that user 612 has twisted to the right. In response to detecting that user 612 has twisted to the right, computer system 600 causes wearable device 610 to output audio output 620g. While computer system 600 detects that user 612 is performing the twist right movement, computer system 600 causes wearable device 610 to output audio output that includes audio component 630h (e.g., a sound and / or collection of sounds that are indicative of user 612 performing the twist right movement). In the depicted embodiments, audio component 630h is output in such a way as to give the effect of emanating from a position to the right of user 612 (represented by representation 630a). Additionally, based on a determination that user 612 is no longer performing the twist right movement, audio output 620g does not include audio component 630g that was shown in FIG. 6V and FIG. 6W.

[0267] In FIG. 6Y, user 612 has completed the first workout. In response to a determination that user 612 has completed the first workout, computer system 600 displays workout summary interface 622. Workout summary user interface 622 includes regions 622a-622c that includes various types of information related to the first workout completed by the user. Workout metrics region 622a includes workout metrics 622a-1 -622a-3. Workout metric 622a-1 displays the total time of the first workout. Workout metric 622a-2 displays the number of active calories burned by the user during the first workout. Workout metric 622a-3 displays the number of total calories burned by the user during the first workout. Workout insights region 622b includes workout insights 622b-1 -622b-2. In some embodiments, computer system 600 determines workout insights 622b-1 -622b-2 based at least in part on the visual information collected from camera 610a and / or 610b during the workout. For example, workout insight 622b-1 informs user 612 that her range of motion is higher than the average person in her age group. This determination was made, at least in part, based on visual information collected from camera 610a and / or camera 610b (e.g., based on squat depth information and / or lunge depth information that was determined based on visual information from camera 610a and / or camera 610b). Workout insight 622b-2 includes one or more suggestions to improve the user's movement in future workouts, e.g., to slow down in future workouts. In some embodiments, this recommendation is made, at least in part, based on visual information collected from camera 610a and / or camera 610b (e.g., based on a detected speed of movement of user 612 during the workout, which was determined based on visual information from camera 610a and / or camera 610b). Workout insights region 622b also includes option 622b-3 that, when selected, causes computer system 600 to display additional workout insights (e.g., additional workout insights that are determined based, at least in part, on visual information captured by camera 610 and / or camera 610b during the workout) that are not displayed in user interface 622. Heart rate region 622c includes a representation of user 612's heart rate recorded during the workout. Heart rate region also includes option 622c-1 that, when selected, causes computer system 600 to display additional health-data related information (e.g., additional information pertaining to the user's heart rate and / or other health-data related information).

[0268] FIG. 7 is a flow diagram illustrating a method for providing personalized workout feedback using a computer system in accordance with some embodiments. Method 700 is performed at a computer system (e.g., 100, 300, 500, 600, and / or 800) (e.g., a smart phone, a smart watch, a tablet, a laptop, a desktop, a wearable device, wrist-worn device, and / or head-mounted device) that is in communication with one or more input devices (e.g., a touch-sensitive surface, a touch-sensitive display, a button, a rotatable input mechanism, a depressible and rotatable input mechanism, a camera, an accelerometer, a microphone, and / or an inertial measurement unit (IMU)) (e.g., 610, 610a, and / or 610b) and one or more output devices (e.g., a set of speakers, earphones, headphones, haptic module, a display, a touch-sensitive display, and / or a display controller) (in some embodiments, the one or more output devices include the one or more input devices) (e.g., 610). Some operations in method 700 are, optionally, combined, the orders of some operations are, optionally, changed, and some operations are, optionally, omitted.

[0269] As described below, method 700 provides an intuitive way for providing personalized workout feedback. The method reduces the cognitive burden on a user for accessing personalized workout feedback, thereby creating a more efficient human-machine interface. For battery-operated computing devices, enabling a user to access personalized workout feedback faster and more efficiently conserves power and increases the time between battery charges.

[0270] The computer system (e.g., 600) receives (700), via one or more wearable devices (e.g., 610) worn on the body of a user (e.g., 612) (e.g., a head-mounted device, earphones, headphones, a mixed reality headset, a wrist-worn device, a watch, a smartwatch, and / or a smart ring), visual information (e.g., visual information captured using camera 610a and / or camera 610b) captured by the one or more wearable devices (e.g., 610) worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user (e.g., user 612 squatting in FIG. 6C, FIG. 6F, and / or FIG. 6I, user 612 jumping in FIG. 6D, FIG. 6G, and / or FIG. 6J, user 612 lunging in FIG. 6N and / or FIG. 6P, user 612 bending down in FIGS. 6S-6T, user 612 twisting her body in FIGS. 6V-6X, and / or user 612 returning to the default position in FIG. 6E, FIG. 6H, FIG. 6K, FIG. 6N, FIG. 6O, FIG. 6U, and / or FIG. 6Y). In some embodiments, the one or more wearable devices worn on the body of the user include one or more cameras (e.g., 610a and / or 610b). In some embodiments, the one or more cameras capture visual information (e.g., media items (e.g., images, videos, and / or a collection of images)) automatically (e.g., without a user request to capture visual information) while the computer system detects a motion by the user. In some embodiments, the one or more wearable devices are worn on one or more parts of the user's body (e.g., over ear, in ear, around head, wrist, torso, legs, and / or ankles). In some embodiments, the visual information is indicative of degree (e.g., amount and / or magnitude) of movement made by the user and / or speed of movement by the user. In some embodiments, the visual information includes one or more images (e.g., one or more images used to determine height information during motion) (e.g., in some embodiments, one or more images collected by a plurality of wearable devices worn on the body of the user) and / or one or more videos (e.g., one or more videos used to calculate speed of movement during motion). In some embodiments, the one or more images and / or the one or more videos are used to calculate distance and / or depth to an object (e.g., floor and / or wall).

[0271] In some embodiments, in response to receiving (704) the visual information (e.g., visual information captured using cameras 610a and / or 610b) captured by the one or more wearable devices (e.g., 610, 610a, and / or 610b) worn on the body of the user: the computer system outputs (706), via the one or more output devices (e.g., 602 and / or 610), first feedback pertaining to a workout session of the user (e.g., 618b, 618c, 618d, 618e, 618f, 618g, 618h, 618i, 620a, 620b, 620c, 620d, 620e, 620f, and / or 622), wherein the first feedback pertaining to the workout session of the user is generated (e.g., by the computer system and / or one or more external computer systems) based on the visual information captured by the one or more wearable devices (e.g., visual information captured using cameras 610a and / or 610b). In some embodiments, feedback pertaining to the workout session of the user includes audio output. In some embodiments, the audio output includes verbal sounds (e.g., natural language output) originating from and / or generated by the one or more output devices (e.g., a set of speakers, earphones, headphones). In some embodiments, content of the audio output and / or the verbal sounds include suggestions for the workout session (e.g., “go lower,”“jump higher,” and / or “move slower,” wherein the suggestions are generated and / or selected for output based on the visual information captured by the one or more wearable devices that are indicative of the degree and / or speed of movement by the user), and / or workout instructions (e.g., “start second rep now” and / or “take a break”). In some embodiments, the audio output includes nonverbal sounds (e.g., beeps, ringing, and / or ticking) that is indicative of degree of movement (e.g., a frequency of the nonverbal sounds corresponds to a degree of movement). In some embodiments, the feedback pertaining to the workout session of the user includes haptic feedback. In some embodiments, the haptic feedback is indicative of degree of movement (e.g., a frequency of the haptic feedback corresponds to a degree of movement). In some embodiments, generating feedback based on the visual information captured by the one or more wearable devices includes suggestions determined based on the visual information captured by the one or more wearable devices combined with additional information, such as personal information (e.g., age, height, weight, and / or heart rate), environment (e.g., altitude, location, noise-level, floor type, objects surrounding the user and / or in the vicinity of the user, and / or time of the day) (in some embodiments, environment information pertaining to the environment of the user is collected using the one or more wearable devices worn on the body of the user, the computer system, and / or an external device that is in communication with the computer system), and / or workout history (e.g., number of workouts completed in the past and / or movements data from past workouts). In some embodiments, the feedback is generated, based on the visual information captured by the one or more wearable devices, by the computer system (e.g., on-device processor). In some embodiments, the feedback is generated, based on the visual information captured by the one or more wearable devices, by an external computer system separate from the computer system (e.g., an external server). Outputting feedback pertaining to a workout session based on visual information captured by one or more wearable devices provides the user with feedback about a state of the computer system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0272] In some embodiments, the first feedback pertaining to the workout session of the user includes audio feedback (e.g., 618c, 618d, 618e, 618f, 618g, 618h, 618i, 620a, 620b, 620c, 620d, 620e, and / or 620f) pertaining to the workout session of the user. In some embodiments, the audio feedback pertaining to the workout session of the user includes verbal sounds and / or spoken words (e.g., natural language output) originating from and / or generated by the one or more output devices. In some embodiments, the spoken words include workout instructions and / or suggestions for the workout session that are generated based on the visual information captured by the one or more wearable devices. In some embodiments, the audio feedback pertaining to the workout session of the user includes nonverbal sounds (e.g., beeps, ringing, and / or ticking) that are generated based on the visual information captured by the one or more wearable devices and that, for example, are indicative of degree of movement made by the user (e.g., a frequency and / or volume of the nonverbal sounds correspond to a degree of movement). Outputting feedback pertaining to a workout session based on visual information captured by one or more wearable devices provides the user with feedback about a state of the computer system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0273] In some embodiments, outputting the first feedback pertaining to the workout session of the user comprises: in accordance with a determination that the visual information captured by the one or more wearable devices (e.g., 610, 610a, and / or 610b) includes first visual information (e.g., visual information indicative of 61 cm squat depth in FIG. 6C) (e.g., a first set of images and / or a first set of video), outputting, via the one or more output devices, a first set of feedback (e.g., 618d in FIG. 6E indicating that the most recent movement met the threshold requirement for a successful squat jump) (in some embodiments, the first set of feedback includes audio feedback pertaining to the workout session of the user, wherein the audio feedback is determined based on the first visual information captured by the one or more wearable devices); and in accordance with a determination that the visual information captured by the one or more wearable devices (e.g., 610, 610a, and / or 610b) includes second visual information (e.g., visual information indicative of 18 cm squat depth in FIG. 6F) (e.g., a second set of images and / or a second set of video) different from the first visual information, outputting, via the one or more output devices, a second set of feedback (e.g., 618e in FIG. 6H indicating that the most recent movement did not meet the threshold requirement for a successful squat jump) different from the first set of feedback without outputting the first set of feedback. In some embodiments, the second set of feedback includes audio feedback pertaining to the workout session of the user, wherein the audio feedback is determined based on the second visual information captured by the one or more wearable devices. In some embodiments, different visual information received from the one or more wearable devices causes the computer system to output different feedback. Outputting different feedback that is determined based on different visual information captured by one or more wearable devices provides the user with improve feedback about a state of the system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by reducing the number of interactions to receive such feedback during a workout session and / or reducing the number of erroneous or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0274] In some embodiments, the visual information captured by the one or more wearable devices (e.g., 610, 610a, and / or 610b) is indicative of degree of movement made by the user (e.g., visual information indicative of 61 cm squat depth in FIG. 6C, and / or visual information indicative of 18 cm squat depth in FIG. 6F). In some embodiments, the degree of the movement made by the user includes amount and / or magnitude of the movement made by the user. In some embodiments, the degree of the movement made by the user includes linear and / or rotational distance traveled by the user. In some embodiments, the degree of movement made by the user (e.g., amount, magnitude, and / or speed of movement) can be determined and / or is determined by the computer system and / or an external computer system based on the visual information captured by the one or more wearable devices. Outputting feedback pertaining to a workout session based on visual information captured by one or more wearable devices provides the user with feedback about a state of the computer system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0275] In some embodiments, outputting the first feedback pertaining to the workout session of the user based on the visual information captured by the one or more wearable devices (e.g., 610, 610a, and / or 610b) comprises: in accordance with a determination that the degree of the movement made by the user as indicated by (and / or, in some embodiments, as determined using) the visual information satisfies a set of threshold criteria (e.g., 61 cm squat depth in FIG. 6C) (in some embodiments, the set of threshold criteria includes a criterion based on a distance traveled by the user and / or distance traversed by a body part of the user; in some embodiments, the set of threshold criteria is satisfied in accordance with a determination that the distance traveled by the user and / or by a body part of the user is greater than or equal to a threshold distance; in some embodiments, the threshold distance is manually set by the user. In some embodiments, the threshold distance is automatically determined by the computer system (e.g., using a preset value)), outputting, via the one or more output devices (e.g., 610), first success feedback indicating that the set of threshold criteria is satisfied (e.g., 618d in FIG. 6E indicating that the most recent movement met the distance threshold requirement for a successful squat jump) (in some embodiments, the first success feedback includes audio output; in some embodiments, the audio output includes verbal sounds (e.g., natural language output) and / or nonverbal sounds (e.g., beeps, ringing, and / or ticking) indicating that the set of threshold criteria is satisfied; in some embodiments, the verbal and / or nonverbal sounds indicating that the set of threshold criteria is satisfied indicate that the movement made by the user counts as a repetition for the workout session); and in accordance with a determination that the degree of the movement made by the user as indicated by (and / or, in some embodiments, as determined using) the visual information does not satisfy the set of threshold criteria (e.g., 18 cm squat depth in FIG. 6F) (in some embodiments, the set of threshold criteria is not satisfied in accordance with a determination that the distance traveled by the user and / or the distance traversed by a body part of the user is less than the threshold distance.), outputting, via the one or more output devices, first failure feedback indicating that the set of threshold criteria is not satisfied (e.g., 618e in FIG. 6H indicating that the most recent movement did not meet the distance threshold requirement for a successful squat jump) (in some embodiments, without outputting the first success feedback). In some embodiments, the first failure feedback includes audio output. In some embodiments, the audio output includes verbal sounds (e.g., natural language output) and / or nonverbal sounds (e.g., beeps, ringing, and / or ticking) indicating that the set of threshold criteria is not satisfied. In some embodiments, the verbal and / or nonverbal sounds indicating that the set of threshold criteria is not satisfied indicate that the movement made by the user does not count as a repetition for the workout session. In some embodiments, the verbal sounds indicating that the set of threshold criteria is not satisfied include suggestions for the user's movement (e.g., suggestion for the user's next movement to be counted as a repetition for the workout session). Visual information that is indicative of degree of movement made by a user allows the user to improve the performance of a workout session. Feedback that is generated based on such visual information can provide detailed information on the user's motion and guidance for improvement. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by reducing the number of interactions to receive such feedback during a workout session), which additionally reduces battery consumption and improves energy management for using the system.

[0276] In some embodiments, the visual information captured by the one or more wearable devices (e.g., 610, 610a, and / or 610b) is indicative of speed of movement (e.g., 618b-2 and / or 618b-6) (e.g., measured in meters per second, feet per second, and / or distance / time) made by the user. In some embodiments, the speed of movement made by the user can be determined and / or is determined by the computer system and / or an external computer system based on the visual information captured by the one or more wearable devices. Outputting feedback pertaining to a workout session based on visual information captured by one or more wearable devices provides the user with feedback about a state of the computer system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0277] In some embodiments, outputting the first feedback pertaining to the workout session of the user based on the visual information captured by the one or more wearable devices comprises: in accordance with a determination that the speed of the movement made by the user as indicated by (and / or, in some embodiments, as determined using) the visual information satisfies a set of speed criteria (e.g., 1.0 m / s lunge speed in FIG. 6P) (in some embodiments, the set of speed criteria is satisfied when the speed of the movement made by the user is slower than a threshold speed) (in some embodiments, the set of speed criteria is satisfied when the speed of the movement made by the user is faster than a threshold speed) (in some embodiments, the threshold speed is manually set by the user) (in some embodiments, the threshold speed is automatically determined by the computer system (e.g., using a preset value)), outputting, via the one or more output devices, second success feedback indicating that the set of speed criteria is satisfied (e.g., 618i in FIG. 6Q indicating that the most recent movement met the speed threshold requirement for a lunge) (in some embodiments, the second success feedback includes audio output) (in some embodiments, the audio output includes verbal sounds (e.g., natural language output) and / or nonverbal sounds (e.g., beeps, ringing, and / or ticking) indicating that the set of speed criteria is satisfied) (in some embodiments, the verbal and / or nonverbal sounds indicating that the set of speed criteria is satisfied indicate that the movement made by the user counts as a repetition for the workout session); and in accordance with a determination that the speed of the movement made by the user as indicated by (and / or, in some embodiments, as determined using) the visual information does not satisfy the set of speed criteria (e.g., 1.9 m / a lunge speed in FIG. 6N) (in some embodiments, the set of speed criteria is not satisfied when the speed of the movement made by the user is faster than a threshold speed) (in some embodiments, the set of speed criteria is not satisfied when the speed of the movement made by the user is slower than a threshold speed), outputting, via the one or more output devices, second failure feedback indicating that the set of speed criteria is not satisfied (e.g., 618h in FIG. 6O indicating that the most recent movement did not meet the speed threshold requirement for a lunge and / or indicating that the user should slow down on their next rep). In some embodiments, the second failure feedback includes audio output. In some embodiments, the audio output includes verbal sounds (e.g., natural language output) and / or nonverbal sounds (e.g., beeps, ringing, and / or ticking) indicating that the set of speed criteria is not satisfied. In some embodiments, the verbal and / or nonverbal sounds indicating that the set of speed criteria is not satisfied indicate that the movement made by the user does not count as a repetition for the workout session. In some embodiments, the verbal sounds indicating that the set of speed criteria is not satisfied include suggestions for the user's movement (e.g., suggestion to increase or decrease the user's speed of movement). Outputting feedback pertaining to a workout session based on visual information captured by one or more wearable devices provides the user with feedback about a state of the computer system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0278] In some embodiments, the one or more wearable devices (e.g., 610) worn on the body of the user include one or more audio output devices worn on the body of the user (in some embodiments, the one or more audio output devices include a set of speakers, earphones, and / or headphones worn on the body of the user). Outputting feedback pertaining to a workout session based on visual information captured by one or more wearable devices provides the user with feedback about a state of the computer system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0279] In some embodiments, the one or more audio output devices (e.g., 610) include one or more cameras (e.g., 610a and / or 610b). In some embodiments, the visual information captured by the one or more wearable devices includes visual information collected using the one or more cameras (e.g., 610a and / or 610b) of the one or more audio output devices (e.g., 610). In some embodiments, the visual information (e.g., media items (e.g., images, videos, and / or a collection of images)) collected using the one or more cameras of the one or more audio output devices is automatically collected (e.g., without a manual and / or express user input to collect visual information) while the computer system detects a motion by the user and / or during a workout session of the user. Outputting feedback pertaining to a workout session based on visual information captured by one or more wearable devices provides the user with feedback about a state of the computer system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0280] In some embodiments, outputting the first feedback pertaining to the workout session of the user includes outputting, via the one or more audio output devices (e.g., 610), audio feedback (e.g., 618c, 618d, 618e, 618f, 618g, 618h, 618i, 620a, 620b, 620c, 620d, 620e, and / or 620f) pertaining to the workout session of the user and that is generated based on the visual information captured by the one or more wearable devices (e.g., 610, 610a, and / or 610b). In some embodiments, the audio feedback includes verbal sounds (e.g., natural language output) originating from and / or generated by the set of audio output devices. In some embodiments, content of the verbal sounds includes suggestions for the workout session and / or workout instructions. In some embodiments, the audio feedback includes nonverbal sounds (e.g., beeps, ringing, and / or ticking) originating from and / or generated by the set of audio output devices. Outputting feedback pertaining to a workout session based on visual information captured by one or more wearable devices provides the user with feedback about a state of the computer system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0281] In some embodiments, the audio feedback (e.g., 618c, 618d, 618e, 618f, 618g, 618h, 618i, 620a, 620b, 620c, 620d, 620e, and / or 620f) pertaining to the workout session of the user is automatically generated (e.g., using an AI process and / or a generative AI process) (e.g., the audio feedback is generative content and / or generative audio content) based on the visual information captured by the one or more wearable devices (e.g., 610, 610a, and / or 610b). In some embodiments, the audio feedback includes audio content that is automatically generated based on visual information captured by the one or more wearable devices. In some embodiments, the dynamic content includes automatically. In some embodiments, the audio feedback is generated by the computer system (e.g., 600) (e.g., on-device process) and / or by an external computer system (e.g., an external server) different from the computer system. Audio feedback including dynamic content that is generated based on visual information captured by one or more wearable devices provides the user with customized feedback during the workout session (e.g., for reach repetition of a movement and / or different workout segments). Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by reducing the number of interactions to receive such feedback during a workout session), which additionally reduces battery consumption and improves energy management for using the system.

[0282] In some embodiments, the first feedback (e.g., 620a, 620b, 620c, 620d, 620e, and / or 620f) pertaining to the workout session of the user includes spatialized audio output that simulates that audio is originating from a respective location (e.g., 630b-630f) relative to the user of the computer system (e.g., 630a) (e.g., from in front of the user, from behind the user, from the left of the user, from the right of the user, from below the user, and / or from above the user). In some embodiments, spatialized audio experiences are produced by manipulating sounds in an audio output device's two audio channels (e.g., left and right) so that they resemble directional sounds arriving in the ear-canal. For example, headphones can reproduce a spatial audio signal that simulates a soundscape around the listener (also referred to as the user). An effective spatial sound reproduction can render sounds such that the listener perceives the sound as coming from a location within the soundscape external to the listener's head, just as the listener would experience the sound if encountered in the real world. In some embodiments, spatialized audio is audio that has been filtered such that a listener of the audio perceives the audio as coming from one or more directions and / or locations in a three-dimensional space (e.g., from above, below, and / or in front of the listener). An example of such a filter is a Head-Related Transfer Function (HRTF) filter. Spatialized audio feedback enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0283] In some embodiments, outputting the first feedback that includes spatialized audio output includes: in accordance with a determination that the user is performing a first movement (e.g., user 612 bending down in FIG. 6S) (in some embodiments, the determination that the user is performing the first movement is based on the visual information captured by the one or more wearable devices), outputting, via the one or more output devices, first spatialized audio output that simulates audio originating from a first location relative to the user of the computer system (e.g., 630f in FIG. 6S) (in some embodiments, the first location is associated with the first movement); and in accordance with a determination that the user is performing a second movement (e.g., user 612 twisting her body to the left in FIG. 6V) (in some embodiments, the determination that the user is performing the second movement is based on the visual information captured by the one or more wearable devices) different from the first movement, outputting, via the one or more output devices, second spatialized audio output that is different from the first spatialized audio output and that simulates audio originating from a second location (e.g., 630g in FIG. 6V) different from the first location without simulating audio originating from the first location (in some embodiments, the second location is associated with the second movement). Spatialized audio feedback enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system. Furthermore, spatialized audio feedback that corresponds to and / or is indicative of particular movements provides the user with improved feedback about the state of the system (e.g., the system has detected that the user is performing a particular movement).

[0284] In some embodiments, outputting the first feedback that includes spatialized audio output includes: in accordance with a determination that the user has started a first respective movement (e.g., user 612 bending down in FIG. 6S) (in some embodiments, the determination that the user has started the first respective movement is based on the visual information captured by the one or more wearable devices) (in some embodiments, the first respective movement is a predetermined movement and / or an instructed movement), outputting, via the one or more output devices, first respective spatialized audio that simulates audio that is originating from a first respective location (e.g., 630f in FIG. 6S) (in some embodiments, the first respective location is associated with the first respective movement); and in accordance with a determination that the user has not started the first respective movement (e.g., user 612 standing up in FIG. 6R) (in some embodiments, the determination that the user has not started the first respective movement is based on the visual information captured by the one or more wearable devices), outputting, via the one or more output devices, second respective spatialized audio that is different from the first respective spatialized audio and that simulates audio that is originating from a second respective location (e.g., in some embodiments, in FIG. 6R, and prior to FIG. 6S, computer system 600 and / or wearable device 610 outputs an audio component that is different from audio component 630f (e.g., is a different sound and / or is simulated to emanate from a different location) and that is indicative of user 612 not yet performing the instructed action) different from the first respective location (in some embodiments, without outputting spatialized audio that simulates audio that is originating from the first respective location). Spatialized audio feedback enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0285] In some embodiments, the first feedback pertaining to the workout session of the user is generated based on: the visual information captured by the one or more wearable devices (e.g., 610, 610a, and / or 610b); and additional information captured by one or more additional input devices of the one or more input devices (e.g., optical sensor 164, proximity sensor 166, accelerometer(s) 168, sensor(s) 359, GPS sensor 532, directional sensor 540, accelerometer 534, gyroscope 536, and / or motion sensor 538) (in some embodiments, the one or more additional input devices include a gyroscope, a camera, an accelerometer, a microphone, and / or an inertial measurement unit (IMU)), wherein the additional information captured by the one or more additional input devices is different from the visual information captured by the one or more wearable devices (in some embodiments, the one or more input devices include the one or more wearable devices). Outputting feedback pertaining to a workout session based on visual information captured by one or more wearable devices as well as additional information captured by other input devices provides the user with feedback about a state of the computer system. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such feedback during the workout and / or by avoiding erroneous or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0286] Note that details of the processes described above with respect to method 700 (e.g., FIG. 7) are also applicable in an analogous manner to the methods described below. For example, method 900 and / or method 1100 optionally include one or more of the characteristics of the various methods described above with reference to method 700. For example, in some embodiments, the personalized workout generated in method 1100 is the workout being performed in method 700 and / or method 900. For brevity, these details are not repeated below.

[0287] FIGS. 8A-8E illustrate exemplary user interfaces for providing personalized workout feedback, in accordance with some embodiments. The user interfaces in these figures are used to illustrate the processes described below, including the processes in FIG. 9.

[0288] FIG. 8A illustrates user 612 wearing computer system 800, which is a smart watch with touch-sensitive display 802, rotational input mechanism 804a, and button 804b. In FIG. 8A, computer system 800 displays workout start interface 806 corresponding to a first workout.

[0289] Workout start interface 806 includes the title of the first workout, content of the first workout, duration information for the workout, and a representation (e.g., image) of a trainer and / or speaker that provides spoken content and / or instructions during the first workout. In some embodiments, the first workout is an audio workout that includes audio content that is output (e.g., via wearable device 610) as user 612 performs the workout, as will be described in greater detail below.

[0290] At FIG. 8A, computer system 800 is worn on the wrist of user 612, shown on the left side of FIG. 8A. User 612 is located within physical environment 805 which, in FIG. 8A, is outside on a street with fences and mountains. In FIG. 8A, user 612 is also wearing wearable device 610 on her head. In the embodiment depicted in FIG. 8A, and as discussed above with reference to FIGS. 6A-6Y, wearable device 610 is a set of headphones that is worn on the head of user 612 and which, in some embodiments, includes camera 610a on a right side of wearable device 610 and camera 610b (not shown in FIG. 8A) on a left side of wearable device 610. In some embodiments, camera 610a and / or camera 610b is used to capture visual information about the surroundings of user 612 and, in some embodiments, this visual information is used by computer system 800 and / or wearable device 610 (or, in some embodiments, another computer system, such as computer system 600) to provide real-time personalized audio content to user 612, as will be described in greater detail below. In some embodiments, wearable device 610 is in communication with computer system 800 (e.g., wireless communication and / or wired communication). For example, in some embodiments, wearable device 610 outputs audio content based on information transmitted from computer system 800 to wearable device 610. Additionally, in some embodiments, wearable device 610 captures contextual and / or visual information (e.g., using camera 610a and / or camera 610b), and transmits the information to computer system 800 in order for computer system 800 to use the contextual and / or visual information to generate and / or provide real-time personalized audio content to user 612. These concepts will also be described in greater detail below. At FIG. 8A, computer system 800 detects user input 808, which is a touch input (e.g., a tap input) on workout start interface 806.

[0291] At FIG. 8B, in response to user input 808, computer system 800 displays workout metric interface 810. Workout metric interface 810 is indicative of an ongoing and / or active workout, and includes information related to the workout (e.g., a current workout and / or workout session being performed by the user) and / or information indicative of physical activity by user 612 during the workout, including: duration information 810a, active calories information 810b, heart rate information 810c, average pace information 810d, and / or distance information 810e.

[0292] On the left side of FIG. 8B, user 612 has started the first workout (e.g., a walking workout) while wearing wearable device 610 and computer system 800. In some embodiments, computer system 800 receives contextual information about user 612 such as, for example, the user's current location (e.g., based on GPS information) and / or weather in the user's current location (e.g., based on weather service information corresponding to the user's current location). Computer device 800 generates audio content based on the contextual information about user 612, and causes wearable device to output first audio content 812a corresponding to the generated audio content. In some embodiments, audio output 812a is dynamically generated based on and / or in response to the contextual information about user 612 (e.g., using one or more AI processes and / or one or more generative AI processes). In some embodiments, the contextual information about user 612 that is received by computer system 800 includes visual content captured by camera 610a and / or camera 610b. For example, in some embodiments, visual content captured by camera 610a and / or camera 610b indicates that the sky is partly cloudy, and this information is used to generate audio output 812a.

[0293] FIG. 8C illustrates user 612 and computer system 800 at a later point in time during the first workout in which user 612 has moved to a different location. In some embodiments, computer system 800 continues to display workout metric interface 810 with updated information 810a-810e corresponding to physical activity by user 612 during the workout session. On the left side of FIG. 8C, physical environment 805 surrounding user 612 has changed during the first workout (e.g., based on user 612 walking to a different location). For example, in FIG. 8C, physical environment 805 includes palm trees 805a, children 805b, and beach 805c. In some embodiments, wearable device 610 continues to capture contextual and / or visual information (e.g., using camera 610a and / or camera 610b) of the surroundings of user 612 and transmits the information to computer system 800. For example, in FIG. 8C, wearable device 610 captures visual information depicting and / or indicative of palm trees 805a, children 805b, and beach 805c using camera 610a and / or camera 610b, and transmits the captured visual information to computer system 800. In some embodiments, computer system 800 determines that user 612 is near a beach where children are playing based on the visual information transmitted from wearable device 600. In some embodiments, based on the visual information transmitted from wearable device 610, computer system 800 determines and / or generates audio output 812b (e.g., using one or more AI processes and / or generative AI processes). In some embodiments, audio output 812b includes a description of the physical environment of user 612. In some embodiments, computer system 800 causes wearable device 610 to output audio output 812b to user 612.

[0294] In some embodiments, audio output 812b is generated using additional and / or other contextual information pertaining to user 612 other than and / or in addition to the visual content captured by camera 610a and / or camera 610b. For example, in some embodiments, wearable device 610 and / or other sensors that are in communication with computer system 800 capture audio information using a microphone. In some embodiments, wearable device 610 transmits the audio information to computer system 800. In some embodiments, computer system 800 determines that the audio information includes the sound of waves. In some embodiments, computer system 800 generates audio output 812b (e.g., using one or more AI processes and / or generative AI processes) using both the visual information from camera 610a and / or camera 610b and the audio information captured by one or more other sensors.

[0295] FIG. 8D illustrates user 612 and computer system 800 at a later point in time during the first workout in which user 612 has moved to a place where traffic sign 805d is present in the surroundings of user 612. Computer system 800 continues to display workout metric interface 810 with updated information 810a-810e corresponding to physical activity by user 612 during the workout session.

[0296] On the left side of FIG. 8D, physical environment 805 surrounding user 612 has changed and now includes traffic sign 805d. In some embodiments, wearable device 610 continues to capture visual information (e.g., using camera 610a and / or camera 610b) of the surroundings of user 612 and transmits the information to computer system 800. For example, in FIG. 8D, wearable device 610 captures visual information that depicts and / or includes traffic sign 805d and / or visual information that is indicative of the distance between user 612 and an intersection ahead of user 612 using camera 610a and / or camera 610b and transmits the visual information to computer system 800. In some embodiments, computer system 800 determines that, based on the transmitted visual information from wearable device 610, user 612 is approaching an intersection with Sherwood Road. In some embodiments, based on the determination that user 612 is approaching the intersection with Sherwood Road, computer system 800 determines and / or generates audio output 812c (e.g., using one or more AI processes and / or generative AI processes). In some embodiments, computer system 800 causes wearable device 610 to output audio output 812c.

[0297] FIG. 8E illustrates user 612 and computer system 800 at a later point in time during the first workout in which user 612 has moved to a location with buildings 805e, 805f, and 805g. Computer system 800 continues to display workout metric interface 810 with updated information 810a-810e corresponding to physical activity by user 612 during the workout session.

[0298] On the left side of FIG. 8E, physical environment 805 surrounding user 612 has changed, and now includes buildings 805e-805g. In some embodiments, wearable device 610 continues to capture visual information (e.g., using camera 610a and / or camera 610b) of the surroundings of user 612 and transmits the information to computer system 800. For example, wearable device 610 captures visual information that depicts and / or includes buildings 805e-805g to the left of user 612 (e.g., using camera 610b) and visual information that depicts and / or includes a skate park to the right of user 612 (not illustrated in FIG. 8E) (e.g., using camera 610a) and transmits the visual information to computer system 800.

[0299] In some embodiments, computer system 800 determines that the surroundings of user 612 includes one or more points of interests based, at least in part, on the visual information transmitted from wearable device 610 (and, optionally, in combination with additional information (e.g., user location information)). For example, computer system 800 determines that building 805e located on the left side of user 612 is the elementary school that the speaker and / or trainer of the audio workout attended and that the skate park located on the right side of user 612 is where the speaker and / or the trainer of the audio workout learned to skate. In some embodiments, the dialogue and / or audio content about the school and / or the skate park is pre-recorded, but is played at the appropriate time based on contextual information about the location of user 612 (including, for example, visual information that is indicative of the location of user 612). In some embodiments, based on the determination that the surroundings of user 612 includes the one or more points of interests related to user 612, computer system 800 determines audio output 812d. In some embodiments, audio output 812d includes identification of the points of interest (e.g., building 805e is the elementary school that the speaker attended and / or the skate park is where the speaker learned to skate) and / or relative positions of the points of interest relative to the user's position (e.g., building 805e is on the left side of user 612 and / or the skate park is on the right side of user 612).

[0300] FIG. 9 is a flow diagram illustrating a method for providing personalized workout feedback using a computer system in accordance with some embodiments. Method 900 is performed at a computer system (e.g., 100, 300, 500, 600, and / or 800) (e.g., a smart phone, a smart watch, a tablet, a laptop, a desktop, a wearable device, wrist-worn device, and / or head-mounted device) that is in communication with one or more input devices (e.g., 610a and / or 610b) (e.g., a touch-sensitive surface, a touch-sensitive display, a button, a rotatable input mechanism, a depressible and rotatable input mechanism, a camera, an accelerometer, a microphone, and / or an inertial measurement unit (IMU)) and one or more output devices (e.g., 610) (e.g., a set of speakers, earphones, headphones, haptic module, a display, a touch-sensitive display, and / or a display controller) (in some embodiments, the one or more output devices include the one or more input devices). Some operations in method 900 are, optionally, combined, the orders of some operations are, optionally, changed, and some operations are, optionally, omitted.

[0301] As described below, method 900 provides an intuitive way for providing personalized workout feedback. The method reduces the cognitive burden on a user for accessing personalized workout feedback, thereby creating a more efficient human-machine interface. For battery-operated computing devices, enabling a user to access personalized workout feedback faster and more efficiently conserves power and increases the time between battery charges.

[0302] The computer system (e.g., 800) outputs (902), via the one or more output devices (e.g., 610), first audio content corresponding to a first workout (e.g., 812a, 812b, 812c, and / or 812d). In some embodiments, outputting the first audio content includes outputting pre-programmed script related to the first workout and / or static script (e.g., script that does not change based on contextual information of the user). While outputting the first audio content corresponding to the first workout, the computer system (e.g., 800) receives (904), via the one or more input devices (e.g., 610 and / or 610a), a first set of contextual information, wherein: the first set of contextual information includes information related to surroundings (e.g., 805) of a user (e.g., 612) of the computer system (e.g., 600 and / or 800). In some embodiments, information related to the surroundings of the user includes information pertaining to one or more objects within the vicinity of the user (e.g., objects detected by the computer system and / or the one or more input devices) (e.g., one or more buildings, traffic signs, park signs, and / or landmarks), sensory information (e.g., sounds and / or brightness), information pertaining to the natural environment surrounding the user and / or the computer system (e.g., sunset, sunrise, and / or precipitation), weather conditions in the user's location (e.g., sunny, rainy, windy, etc.), and / or situations near the user (e.g., accident or crowds on the road next to the running path). In some embodiments, the first set of contextual information is collected using the one or more input devices (e.g., 610,610a, and / or 610b) (e.g., using one or more microphones and / or cameras that are in communication with the computer system).

[0303] In response to receiving the first set of contextual information (906), the computer system (e.g., 600 and / or 800) outputs (908), via the one or more output devices (e.g., 610), second audio content (e.g., 812b, 812c, and / or 812d) corresponding to the first workout (in some embodiments, the second audio content is different from the first audio content), wherein the second audio content includes a set of dynamic script that is determined (e.g., automatically generated) (e.g., automatically-generated audio content and / or generative audio content) (e.g., using an AI process or a generative AI process) based on the first set of contextual information (e.g., audio content 812b, 812c, and / or 812d includes information pertaining to the surroundings of user 612 that is determined, at least in part, based on the information captured using camera 610a and / or camera 610b of wearable device 610). In some embodiments, the set of dynamic script includes script that is personalized for the user based on the first set of contextual information (e.g., the set of dynamic script includes description of points of interest within the vicinity of the user relative to the user's position and / or location). In some embodiments, personalizing the script for the user based on the first set of contextual information includes modifying a pre-programmed script to include contextual information collected using the one or more input devices. In some embodiments, the set of dynamic script is determined based on the first set of contextual information by the computer system (e.g., on-device processor). In some embodiments, the set of dynamic script is determined based on the first set of contextual information by an external computer system separate from the computer system (e.g., an external server). In some embodiments, the first set of contextual information includes information related to a current period of time (e.g., current time, current date, and / or current events in a calendar (e.g., a holiday calendar and / or a calendar corresponding to the user of the computer system)) and / or a current location of the computer system and / or the user of the computer system (e.g., geographic location of the user and / or the address of the user's current location). Automatically outputting audio content corresponding to a workout that includes a set of dynamic script determined based on the first set of contextual information provides the user with personalized information and feedback without user input. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such information during the workout and / or by reducing erroneous and / or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0304] In some embodiments, the first set of contextual information is received from one or more wearable devices (e.g., 610) worn on the body of the user (e.g., 612) (e.g., a head-mounted device, earphones, headphones, a mixed reality headset, a wrist-worn device, a watch, a smartwatch, and / or a smart ring). In some embodiments, the one or more wearable devices worn on the body of the user include one or more cameras (e.g., 610a and / or 610b) used for collecting visual information. Automatically outputting audio content corresponding to a workout that includes a set of dynamic script determined based on the first set of contextual information provides the user with personalized information and feedback without user input. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such information during the workout and / or by reducing erroneous and / or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0305] In some embodiments, the one or more wearable devices (e.g., 610) worn on the body of the user include one or more cameras (e.g., 610a and / or 610b); and the first set of contextual information includes visual information collected (e.g., visual information depicting physical environment 805) using the one or more cameras (e.g., 610a and / or 610b) of the one or more wearable devices (e.g., 610) worn on the body of the user (e.g., 612). In some embodiments, the visual information (e.g., media items (e.g., images, videos, and / or a collection of images)) collected using the one or more cameras of the one or more wearable devices worn on the body of the user is automatically collected (e.g., without a manual and / or express user input to collect visual information). Automatically outputting audio content corresponding to a workout that includes a set of dynamic script determined based on the first set of contextual information provides the user with personalized information and feedback without user input. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such information during the workout and / or by reducing erroneous and / or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0306] In some embodiments, the one or more wearable devices (e.g., 610) worn on the body of the user include one or more audio output devices (e.g., 610) (in some embodiments, the set of audio output devices include one or more speakers, earphones, and / or headphones) worn on the body of the user; and the first set of contextual information is received from the one or more audio output devices (e.g., 610). Automatically outputting audio content corresponding to a workout that includes a set of dynamic script determined based on the first set of contextual information provides the user with personalized information and feedback without user input. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such information during the workout and / or by reducing erroneous and / or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0307] In some embodiments, the one or more audio output devices (e.g., 610) include one or more cameras (e.g., 610a and / or 610b) integrated into the one or more audio output devices (e.g., 610) (e.g., built into the one or more audio output devices, secured to the one or more audio output devices, and / or housed in the same housing as the one or more audio output devices); and the first set of contextual information received from the one or more audio output devices includes visual information collected using the one or more cameras (e.g., 610a and / or 610b) of the one or more audio output devices (e.g., 610). In some embodiments, the visual information (e.g., media items (e.g., images, videos, and / or a collection of images)) collected using the one or more cameras of the one or more audio output devices is automatically collected (e.g., without a manual and / or express user input to collect visual information). Automatically outputting audio content corresponding to a workout that includes a set of dynamic script determined based on the first set of contextual information provides the user with personalized information and feedback without user input. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such information during the workout and / or by reducing erroneous and / or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0308] In some embodiments, outputting the first audio content (e.g., 812a, 812b, 812c, and / or 812d) includes causing the one or more audio output devices (e.g., 610) to output the first audio content (e.g., outputting the first audio content using the one or more audio output devices and / or outputting the first audio content via the one or more audio output devices); and outputting the second audio content (e.g., 812a, 812b, 812c, and / or 812d) includes causing the set of audio output devices (e.g., 610) to output the second audio content (e.g., outputting the second audio content using the one or more audio output devices and / or outputting the second audio content via the one or more audio output devices). Automatically outputting audio content corresponding to a workout that includes a set of dynamic script determined based on the first set of contextual information provides the user with personalized information and feedback without user input. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such information during the workout and / or by reducing erroneous and / or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0309] In some embodiments, outputting the second audio content (e.g., 812a, 812b, 812c, and / or 812d) corresponding to the first workout includes: in accordance with a determination that the first set of contextual information indicates that the user is located at a first location (e.g., a first geographic location and / or a first location relative to a geographic point of interest (e.g., an address, a building, a structure, a park, and / or an intersection)), outputting first audio information (e.g., in FIG. 8D, audio output 812c is output based on a determination that the user is approaching a particular intersection; and in FIG. 8E, audio output 812d is output based on a determination that the user is near a particular point of interest) (in some embodiments, the first audio information includes identification of the first location and / or additional information related to the first location). In some embodiments, the identification of the first location is determined based on the information related to the surroundings of the user of the computer system received from the one or more input devices. In some embodiments, the additional information related to the first location is determined based on the information related to the surroundings of the user of the computer system received from the one or more input devices. In some embodiments, outputting the second audio content (e.g., 812a, 812b, 812c, and / or 812d) corresponding to the first workout includes: in accordance with a determination that the first set of contextual information indicates that the user is located at a second location (e.g., a second geographic location and / or a second location relative to a geographic point of interest (e.g., an address, a building, a structure, a park, and / or an intersection)) different from the first location, outputting second audio information (e.g., 812a, 812b, 812c, and / or 812d) different from the first audio information (e.g., in FIG. 8D, audio output 812c is output based on a determination that the user is approaching a particular intersection; and in FIG. 8E, audio output 812d is output based on a determination that the user is near a particular point of interest). In some embodiments, the second audio information includes identification of the second location and / or additional information related to the second location. In some embodiments, the identification of the second location is determined based on the information related to the surroundings of the user of the computer system received from the one or more input devices. In some embodiments, the additional information related to the second location is determined based on the information related to the surroundings of the user of the computer system received from the one or more input devices. Automatically outputting different audio content when the user is at different locations provides the user with personalized information and feedback without user input. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such information during the workout and / or by reducing erroneous and / or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0310] In some embodiments, the first set of contextual information includes an indication of a relative position of a point of interest relative to a current location of the user (e.g., 612) of the computer system (e.g., 800) (e.g., in FIG. 8D, contextual information includes visual information captured by camera 610a and / or camera 610b and / or user location information indicating that the intersection with Sherwood Road is 100 feet in front of user 612; and / or in FIG. 8E, contextual information includes visual information captured by camera 610a and / or camera 610b and / or user location information indicating that building 805e is on the left side of user 612) (e.g., indicating that the point of interest is in front of the user, behind the user, left of the user, right of the user, above the user, and / or below the user). In some embodiments, the point of interest includes a location associated with personal context of the user (e.g., a place where the user has visited in the past, a place identified in contacts (e.g., a friend's house, the user's workplace), and / or a place identified in media items of the user (e.g., a photo of Big Ben from Photos application)). In some embodiments, the point of interest includes a location not associated with the personal context of the user (e.g., a famous location). In some embodiments, the user's current location is updated over time during the first workout. In some embodiments, the indication of the relative position of the point of interest relative to the user's current location is updated over time during the first workout (e.g., the indication includes “in front of the user” at a first time (e.g., at an earlier time) and includes “behind the user” at a second time (e.g., at a later time) because the user ran past the point of interest). In some embodiments, the relative position of the point of interest relative to the current location of the user is determined based on the first set of contextual information (e.g., based on visual information captured by one or more cameras and that indicate the relative position of the point of interest relative to the current location of the user). Automatically outputting audio content corresponding to a workout that includes a set of dynamic script determined based on the first set of contextual information provides the user with personalized information and feedback without user input. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such information during the workout and / or by reducing erroneous and / or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0311] In some embodiments, the second audio content includes an audio indication of the relative position of the point of interest relative to the current location of the user of the computer system (e.g., audio content 812d, which is determined based on the first set of contextual information, indicates that the elementary school 805e is on the left side of user 612). In some embodiments, the second audio content includes a spoken indication of the relative position of the point of interest relative to the current location of the user of the computer system (e.g., “to your right” or “in front of you”). In some embodiments, the second audio content includes spatialized audio output that simulates that audio is originating from a respective location (e.g., the relative position of the point of interest relative to the user's current location (e.g., audio is simulated to originate from the left side of the user if the point of interest is located on the left side of the user)). Automatically outputting audio content corresponding to a workout that includes a set of dynamic script determined based on the first set of contextual information provides the user with personalized information and feedback without user input. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by avoiding separate user inputs to request such information during the workout and / or by reducing erroneous and / or incorrect user inputs) which, additionally, reduces battery consumption and improves energy management for using the system.

[0312] Note that details of the processes described above with respect to method 900 (e.g., FIG. 9) are also applicable in an analogous manner to the methods described above and / or below. For example, method 700 and / or method 1100 optionally include one or more of the characteristics of the various methods described above with reference to method 900. For example, in some embodiments, the personalized workout generated in method 1100 is the workout being performed in method 700 and / or method 900. For brevity, these details are not repeated below.

[0313] FIGS. 10A-10G illustrate exemplary user interfaces for generating personalized workouts, in accordance with some embodiments. The user interfaces in these figures are used to illustrate the processes described below, including the processes in FIG. 11.

[0314] FIG. 10A illustrates user 612 using computer system 600, which is a smart phone with touch-sensitive display 602. Various embodiments of computer system 600 were described above, for example, with reference to FIGS. 6A-6Y. User 612 is also wearing wearable device 610. In the depicted embodiments, wearable device 610 is a set of headphones that includes camera 610a and camera 610b. Various embodiments of wearable device 610 were also described above, for example, with reference to FIGS. 6A-6Y and FIGS. 8A-8E. In the example scenarios and embodiments shown in FIGS. 10A-10G, computer system 600 uses visual information captured by camera 610a and / or camera 610b to generate personalized workouts for user 612. In FIG. 10A, user 612 is located in room 1000, which includes table 1002a, sofa 1002b, and dumbbells 1002c. In some embodiments, camera 610a and / or camera 610b capture visual information that depict room 1000 (including, for example, table 1002a, sofa 1002b, and dumbbells 1002c). At FIG. 10A, computer system 600 detects user input 1005, which is a spoken input by user 612 invoking a digital assistant.

[0315] At FIG. 10B, in response to detecting user input 1005, computer system 600 displays, via touch-sensitive display 602, digital assistant user interface 1008. Digital assistant user interface 1008 includes waveform 1008b that is indicative of computer system 600 being in a ready state to receive audio input from the user. Digital assistant user interface 1008 also includes keyboard option 1008c which, when selected, causes computer system 600 to display a keyboard that the user can interact with to enter a text request for the digital assistant. Digital assistant user interface 1008 also includes region 1008a, which displays text based on audio input received from the user. In FIG. 10B, computer system 600 detects user input 1006, which is a spoken input by user 612 requesting that computer system 600 generate a 20-minute interval workout focusing on cardio. In response to detecting user input 1006, computer system 600 displays corresponding text in region 1008a of digital assistant user interface 1008.

[0316] Digital assistant user interface 1008 also includes option 1008d and option 1008e. Option 1008d, when selected, causes computer system 600 to process and / or generate a response to a user-provided digital assistant request. Option 1008e, when selected, causes computer system 600 to cease display of digital assistant user interface 1008 and / or stop processing of a user-provided digital assistant request. At FIG. 10B, after receiving user input 1006 (e.g., a spoken request by user 612 to the digital assistant to generate a personalized workout), computer system 600 detects user input 1010, which is a touch input (e.g., a tap input) corresponding to selection of option 1008d.

[0317] At FIG. 10C, in response to detecting user input 1010, computer system 600 ceases display of digital assistant user interface 1008 and displays user interface 1012. User interface 1012 displays representations of a personalized workout for user 612 that is responsive to and / or generated in response to spoken user input 1006 from FIG. 10B. In some embodiments, computer system 600 automatically generates the personalized workout based on visual information captured by camera 610a and / or camera 610b. For example, in the depicted scenarios and embodiments, the visual information captured by camera 610a and / or camera 610b indicates that user 612 is located in an indoor room that has table 1002a, sofa 1002b, and dumbbells 1002c. Computer system 600 utilizes this visual information to determine, for example, the amount of space available for the workout (e.g., based on locations of objects in room 1000 and / or estimated dimensions of room 1000) and / or equipment available for the workout (e.g., dumbbells 1002c), and selects workout activities (e.g., from a collection and / or portfolio of available workout activities) that are consistent with user 612's request (e.g., interval workout focusing on cardio) and that user 612 can perform within the user's current environment. In some embodiments, computer system 600 excludes workout activities that are not consistent with user 612's request and / or workout activities that user 612 cannot perform with their current environment. For example, in FIGS. 10B-10C, computer system 600 excludes workout activities that include sprinting or running for long distances due to user 612 being in an interior room without a treadmill.

[0318] In FIG. 10C, computer system 600 has generated a personalized workout for user 612 based on the user-specified workout parameters specified in user input 606 and visual information captured by camera 610a and / or camera 610b. The personalized workout is represented in user interface 1012, which includes workout segment representations 1014a-1014d. Workout segment representation 1014a corresponds to a warmup portion of the personalized workout. Workout segment representation 1014b corresponds to a dumbbell lunge portion of the personalized workout (e.g., which is included based on a determination that room 1000 includes dumbbells 1002c, and user 612 can perform dumbbell lunges within the space available in room 1000). Workout segment representation 1014c corresponds to a leg raises portion of the personalized workout (e.g., which is included based on a determination that user 612 can perform leg raises within the space available in room 1000). Workout segment representation 1014d corresponds to a cooldown portion of the personalized workout. Workout segment representation 1014b is displayed with option 1014b-1 which, when selected, causes computer system 600 to replace the dumbbell lunges portion of the personalized workout with a different workout activity (e.g., a different workout activity that is consistent with the request from user input 1006 and that is able to be performed within user 612's current environment). Workout segment representation 1014c is displayed with option 1014c-1 which, when selected, causes computer system 600 to replace the leg raises portion of the personalized workout with a different workout activity (e.g., a different workout activity that is consistent with the request from user input 1006 and that is able to be performed within user 612's current environment). In some embodiments, the workout activities selected for the personalized workout are selected based on a workout history of user 612. For example, in some embodiments, dumbbell lunges and leg raises are selected over other workout activities that also fit the criteria for the personalized workout (e.g., interval workout focused on cardio that can be performed within room 1000) based on user 612 having previously performed the same workout activities (and / or similar workout activities), based on user 612 having previously indicated a preference for these same workout activities (and / or similar workout activities), and / or based on user 612 having not performed these workout activities recently (e.g., in order to provide user 612 with additional variety in their workout activities).

[0319] User interface 1012 also includes option 1012a which, when selected, causes computer system 600 to initiate playback of the personalized workout (e.g., begin outputting video content and / or audio content that guides the user through the personalized workout and / or provides instructions for performing the personalized workout) and / or start the personalized workout (e.g., begin recording physical activity metrics for a workout session). User interface 1012 also includes option 1012b which, when selected, causes computer system 600 to re-generate a new personalized workout (e.g., based on the user-specified parameters in user input 1006 and / or visual information from camera 610a and / or camera 610b). At FIG. 10C, computer system 600 detects user input 1016, which is a touch input (e.g., a tap input) corresponding to selection of option 1014c-1.

[0320] At FIG. 10D, in response to user input 1016, computer system 600 replaces the leg raises portion of the personalized workout with a jumping jacks portion, and replaces workout segment representation 1014c with workout segment representation 1014e.

[0321] FIGS. 10E-10G depict a different scenario in which user 612 provides the same instructions for generating a personalized workout as was shown in FIG. 10B, but user 612 is in a different environment. At FIG. 10E, computer system 600 displays, via touch-sensitive display 602, digital assistant user interface 1008. In FIG. 10E, computer system 600 also detects user input 1022, which is a spoken input by user 612 requesting that computer system 600 generate a 20-minute interval workout focusing on cardio (e.g., a spoken input that is identical in content to user input 1006 from FIG. 10B). In response to detecting user input 1022, computer system 600 displays corresponding text in region 1008a of digital assistant user interface 1008. At FIG. 10E, after receiving user input 1022 (e.g., a spoken request by user 612 to the digital assistant to generate a personalized workout), computer system 600 detects user input 1024, which is a touch input (e.g., a tap input) corresponding to selection of option 1008d.

[0322] At FIG. 10F, in response to user input 1022 and user input 1024, computer system 600 has generated a personalized workout for user 612 based on the user-specified workout parameters specified in user input 1022 and visual information captured by camera 610a and / or camera 610b. Visual information captured by camera 610a and / or 610b indicate that user 612 is outside in yard 1020 with more space than was available when user 612 was in room 1000. Accordingly, the personalized workout generated in FIG. 10F now includes different workout segments that are selected based on the determination that user 612 is outside in an open area. In FIG. 10F, the personalized workout is represented in user interface 1012, which includes workout segment representations 1026a-1026d. Workout segment representation 1026a corresponds to a warmup portion of the personalized workout. Workout segment representation 1026b corresponds to a wind sprints portion of the personalized workout (e.g., which is included based on a determination that user 612 is in an open area with sufficient space for wind sprints). Workout segment representation 1026c corresponds to a bear crawl burpees portion of the personalized workout (e.g., which is included based on a determination that user 612 is in an open area with sufficient space for bear crawl burpees). Workout segment representation 1026d corresponds to a cooldown portion of the personalized workout. Workout segment representation 1026b is displayed with option 1026b-1 which, when selected, causes computer system 600 to replace the wind sprints portion of the personalized workout with a different workout activity (e.g., a different workout activity that is consistent with the request from user input 1022 and that is able to be performed within user 612's current environment). Workout segment representation 1026c is displayed with option 1026c-1 which, when selected, causes computer system 600 to replace the bear crawl burpees portion of the personalized workout with a different workout activity (e.g., a different workout activity that is consistent with the request from user input 1022 and that is able to be performed within user 612's current environment).

[0323] As discussed above, user interface 1012 also includes option 1012a which, when selected, causes computer system 600 to initiate playback of the personalized workout (e.g., begin outputting video content and / or audio content that guides the user through the personalized workout and / or provides instructions for performing the personalized workout) and / or start the personalized workout (e.g., begin recording physical activity metrics for a workout session). User interface 1012 also includes option 1012b which, when selected, causes computer system 600 to re-generate a new personalized workout (e.g., based on the user-specified parameters in user input 1022 and / or visual information from camera 610a and / or camera 610b). At FIG. 10F, computer system 600 detects user input 1028, which is a touch input (e.g., a tap input) corresponding to selection of option 1012a.

[0324] At FIG. 10G, in response to user input 1028, computer system 600 initiates the personalized workout by, for example, initiating playback of the personalized workout, including displaying video content 1032a of an instructor performing and / or demonstrating the personalized workout within user interface 1032 and / or outputting audio instructions 1030 that provide instructions for the personalized workout (e.g., causing wearable device 610 to output audio instructions 1030). In FIG. 10G, in response to user input 1028, computer system 600 also initiates recording physical activity metrics of the user during the personalized workout. For example, certain physical activity metrics are displayed in workout metrics region 1032b, which indicates how many burpees the user has completed (e.g., 1032b-1), how many wind sprints the user has completed (e.g., 1032b-2), the user's speed of movement (e.g., 1032b-3), and the user's burpee depth (e.g., 1032b-4). In some embodiments, the workout metrics shown in workout metrics region 1032b are measured and / or determined based on visual information captured by camera 610a and / or camera 610b while user 612 performs the workout (e.g., as was described above with reference to FIGS. 6A-6Y).

[0325] FIG. 11 is a flow diagram illustrating a method for generating personalized workouts using a computer system in accordance with some embodiments. Method 1100 is performed at a computer system (e.g., 100, 300, 500, 600, and / or 800) (e.g., a smart phone, a smart watch, a tablet, a laptop, a desktop, a wearable device, wrist-worn device, and / or head-mounted device) that is in communication with one or more display generation components (e.g., 602) (e.g., a display controller, a touch-sensitive display system, a display screen, a monitor, a projector, a holographic display, and / or a head-mounted display system), one or more input devices (e.g., 610a and / or 610b) (e.g., a touch-sensitive surface, a touch-sensitive display, a button, a rotatable input mechanism, a depressible and rotatable input mechanism, a camera, an accelerometer, a microphone, and / or an inertial measurement unit (IMU)), and one or more output devices (e.g., 610) (e.g., a set of speakers, earphones, headphones, haptic module, a display, a touch-sensitive display, and / or a display controller). In some embodiments, the one or more output devices include the one or more input devices. Some operations in method 1100 are, optionally, combined, the orders of some operations are, optionally, changed, and some operations are, optionally, omitted.

[0326] As described below, method 1100 provides an intuitive way for generating personalized workouts. The method reduces the cognitive burden on a user for generating personalized workouts, thereby creating a more efficient human-machine interface. For battery-operated computing devices, enabling a user to generate personalized workouts faster and more efficiently conserves power and increases the time between battery charges.

[0327] The computer system (e.g., 600) receives (1102), via the one or more input devices, a request (e.g., 1006, 1010, 1022, and / or 1024) (e.g., one or more user inputs) (e.g., keyboard input, touch input, gesture input, air gesture input, hardware control input, and / or spoken input) to create a personalized workout for a user of the computer system. In some embodiments, receiving the request to create a personalized workout includes detecting natural language instructions by the user (e.g., 1006 and / or 1022). In some embodiments, the request to create a personalized workout includes one or more parameters to be used for creating the personalized workout (e.g., type of workout (e.g., HIIT, cardiovascular exercise, weight training, and / or stretching) and / or duration (e.g., a 10-minute workout session, a 20-minute workout session, a 30-minute workout session, a 45-minute workout session, or a 60-minute workout session)).

[0328] The computer system collects (1104), via the one or more input devices (e.g., 610a and / or 610b), user-specific information (e.g., in some embodiments, contextual information pertaining to the user of the computer system). In some embodiments, the user-specific information includes user location information, past workout information, and / or visual information around the user. In some embodiments, the user-specific information is collected in response to receiving the request to create a personalized workout and / or subsequent to receiving the request to create the personalized workout. In some embodiments, the user-specific information includes visual information. In some embodiments, the visual information includes visual information pertaining to the user's surroundings (e.g., outdoor, indoor, small space, large space, and / or crowdedness near the user). In some embodiments, the visual information includes the user's position (e.g., sitting on a chair, laying down on a yoga mat), objects identified near the user (e.g., weight rack, yoga mat), and / or current weather (e.g., sunny, rainy). In some embodiments, the visual information is collected using one or more wearable devices (e.g., 610, 610a, and / or 610b) worn on the body of the user (e.g., a head-mounted device, earphones, headphones, a mixed reality headset, a wrist-worn device, a watch, a smartwatch, a smart ring, and / or a ring). In some embodiments, the one or more wearable devices (e.g., 610) worn on the body of the user include one or more cameras (e.g., 610a and / or 610b) for collecting the visual information. In some embodiments, the one or more cameras capture media items (e.g., images, videos, and / or a collection of images) automatically while the computer system detects a motion by the user. In some embodiments, the one or more wearable devices are worn on various parts of the user's body (e.g., over ear, in ear, around head, wrist, torso, legs, and / or ankles).

[0329] In response to receiving the request to create the personalized workout for the user of the computer system, the computer system displays (1106), via the one or more display generation components, a first user interface (e.g., 1012) pertaining to a first personalized workout that is generated in response to the request to create the personalized workout for the user of the computer system and is generated (e.g., by the computer system and / or one or more external computer systems separate from the computer system) based on the visual information collected using the one or more wearable devices worn on the body of the user. In some embodiments, the first personalized workout includes a set of workout segments (e.g., one or more workout segments) (e.g., 1014b, 1014c, 1014e, 1026b, and / or 1026c) that are selected for inclusion in the first personalized workout based on the visual information collected using the one or more wearable devices (e.g., 610, 610a, and / or 610b) worn on the body of the user.

[0330] In some embodiments, at least some workout segments (e.g., 1014b, 1014c, 1014e, 1026b, and / or 1026c) of the set of workout segments are selected for inclusion in the first personalized workout based on the visual information collected using the one or more wearable devices (e.g., 610, 610a, and / or 610b) worn on the body of the user based on a determination that those workout segments can be performed in the user's current environment and / or surroundings. For example, if the user is located indoors in a weight training room with weights but limited space, the set of workout segments includes strength training segments (e.g., weight training, squats, etc.) rather than cardiovascular exercises (e.g., running and / or cycling), but if the user is located outdoors at a running track, the set of workout segments includes cardiovascular exercises rather than strength training. In some embodiments, the set of workout segments selected for inclusion in the first personalized workout (e.g., 1014b, 1014c, 1014e, 1026b, and / or 1026c) is determined, at least in part, based on workout equipment that is detected within the visual information (e.g., including one or more workout segments based on a determination that workout equipment required for the workout segment is detected in the visual information and / or excluding one or more workout segments based on a determination that workout equipment required for the workout segment is not detected in the visual information). In some embodiments, the set of workout segments selected for inclusion in the first personalized workout (e.g., 1014b, 1014c, 1014e, 1026b, and / or 1026c) is determined, at least in part, based on the dimensions of the user's current environment (e.g., the dimensions of a room the user is in and / or the dimensions of an outdoor space the user is in) and / or based on space needed to perform each workout segment. (e.g., including one or more workout segments based on a determination that the user's current surroundings include sufficient space to perform the workout segments and / or excluding one or more workout segments based on a determination that the user's current surroundings do not include sufficient space to perform the workout segments).

[0331] In some embodiments, the set of workout segments (e.g., 1014b, 1014c, 1014e, 1026b, and / or 1026c) is determined based on the user-specific information (e.g., past workout information (e.g., to include one or more workout types previously performed by the user and / or to exclude one or more workout types that have never been performed by the user)). In some embodiments, the set of workout segments (e.g., 1014b, 1014c, 1014e, 1026b, and / or 1026c) that are determined based on the user-specific information includes a workout segment that was newly created in response to receiving the request to create the personalized workout. In some embodiments, the set of workout segments that are determined based on the user-specific information includes a workout segment that existed before receiving the request to create the personalized workout (e.g., warm up, stretching, and / or routine exercise preferred by the user). In some embodiments, the set of workout segments that are determined based on the user-specific information includes a combination of workout segments that existed before receiving the request to create the personalized workout and workout segments that were newly created in response to receiving the request to create the personalized workout. In some embodiments, the first user interface (e.g., 1012) includes a set of user interface objects corresponding to one or more segments of the set of workout segments (e.g., 1014b, 1014c, 1014e, 1026b, and / or 1026c). In some embodiments, the first user interface includes a second user interface object (e.g., 1012a) that, when selected, causes the computer system to initiate the personalized workout. In some embodiments, the first user interface (e.g., 1012) includes a third user interface object (e.g., 1012b, 1014b-1, 1014c-1, 1026b-1, and / or 1026c-1) that, when selected, causes the computer system to initiate a process for editing (e.g., adding or subtracting a workout segment) of the personalized workout. In some embodiments, the first user interface (e.g., 1012) includes a fourth user interface object that, when selected, causes the computer system to initiate a process for saving the personalized workout to be used again in the future. Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0332] In some embodiments, the one or more wearable devices (e.g., 610, 610a, and / or 610b) worn on the body of the user include one or more audio output devices (in some embodiments, the one or more audio output devices include one or more speakers, earphones, and / or headphones.) worn on the body of the user. Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0333] In some embodiments, the visual information collected using the one or more wearable devices (e.g., 610, 610a, and / or 610b) worn on the body of the user includes visual information collected using one or more cameras (e.g., 610a and / or 610b) of the one or more audio output devices (e.g., 610) (e.g., one or more cameras built into the one or more audio output devices, one or more cameras secured to the one or more audio output devices, and / or one or more cameras housed in the same housing as the one or more audio output devices). In some embodiments, the visual information (e.g., media items (e.g., images, videos, and / or a collection of images)) collected using the one or more cameras of the one or more audio output devices is automatically collected (e.g., without a manual and / or express user input to collect visual information) (e.g., in response to receiving the request to create the personalized workout for the user of the computer system and / or in response to starting a workout). In some embodiments, the visual information collected using the one or more cameras of the one or more audio output devices is collected prior to receiving the request to create the personalized workout for the user of the computer system. Collecting visual information from one or more cameras of a set of audio output devices allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Collecting visual information from the one or more cameras of the set of audio output devices can minimize the number of external devices necessary to receive the set of contextual information for the workout session. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0334] In some embodiments, while displaying the first user interface (e.g., 1012) pertaining to the first personalized workout, the computer system detects, via the one or more input devices (e.g., 602), one or more user inputs (e.g., 1028) corresponding to a user request to start the first personalized workout (e.g., one or more touch inputs, one or more spoken inputs, one or more gesture inputs, and / or one or more hardware control inputs). In response to detecting the one or more user inputs corresponding to the user request to start the first personalized workout, the computer system outputs, via the one or more audio output devices (e.g., a set of speakers, earphones, and / or headphones), audio instructions (e.g., 1030) corresponding to the first personalized workout. In some embodiments, the audio instructions corresponding to the first personalized workout include one or more instructions for performing one or more movements and / or exercised in the first personalized workout. In some embodiments, the audio instructions include feedback pertaining to the first personalized workout. In some embodiments, the feedback pertaining to the first personalized workout is generated (e.g., by the computer system and / or one or more external computer systems) based on additional visual information collected using the one or more wearable devices worn on the body of the user during the first personalized workout (e.g., FIGS. 6A-6Y). Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0335] In some embodiments, the visual information collected using the one or more wearable devices (e.g., 600, 600a, and / or 600b) worn on the body of the user includes visual information pertaining to the current environment (e.g., 1000 and / or 1020) surrounding the user of the computer system (e.g., visual information capturing the user's current environment (e.g., one or more images and / or videos capturing the objects and / or areas surrounding the user) (e.g., visual information indicating whether the user is outdoors or indoors, visual information indicating the size of the room and / or space surrounding the user, visual information indicating and / or depicting objects in the vicinity of the user and their distance from the user). Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0336] In some embodiments, the visual information pertaining to the current environment (e.g., 1000 and / or 1020) surrounding the user of the computer system includes environment size information indicating a size (e.g., length, width, height, area, and / or volume) of a space in which the user of the computer system is located In some embodiments, the first personalized workout is generated based on the environment size information indicating the size of the space in which the user of the computer system is located. Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0337] In some embodiments, one or more workout segments of the set of workout segments that are selected for inclusion in the first personalized workout are selected for inclusion in the first personalized workout based on the environment size information and based on a determination that the one or more workout segments can be performed in the current environment surrounding the user of the computer system (e.g., workout segments 1014b and / or 1014c are selected based on a determination that they can be performed in room 1000; and workout segments 1026b and 1026c are selected based on a determination that they can be performed in yard 1020). In some embodiments, a first set of one or more workout segments of a collection of available workout segments are excluded from the first personalized workout based on a determination that the first set of one or more workout segments require more space than is available in the current environment of the user of the computer system. In some embodiments, the set of workout segments selected for inclusion in the first personalized workout is determined, at least in part, based on the dimensions of the user's current environment (e.g., the dimensions of a room the user is in and / or the dimensions of an outdoor space the user is in) and / or based on space needed to perform each workout segment (e.g., including one or more workout segments based on a determination that the user's current surroundings include sufficient space to perform the workout segments and / or excluding one or more workout segments based on a determination that the user's current surroundings do not include sufficient space to perform the workout segments) (e.g., if the height of the space of the current location of the user is too low for jumping, jumping jack is not selected for inclusion in the set of workout segments). Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0338] In some embodiments, the visual information pertaining to the current environment surrounding the user of the computer system includes object information indicative of positions of one or more objects (e.g., 1002a, 1002b, and / or 1002c) identified in the current environment surrounding the user of the computer system. In some embodiments, the object information identifies and / or depicts one or more objects in the current environment surrounding the user of the computer system. In some embodiments, the one or more objects are automatically identified by the computer system and / or an external computer system (e.g., using one or more AI processes and / or generative AI processes). In some embodiments, the set of workout segments (e.g., 1014b, 1014c, 1026b, and / or 1026c) selected for inclusion in the first personalized workout is determined, at least in part, based on the positions of the one or more objects identified in the user's current environment (e.g., based on space available around the user after considering the positions of objects surrounding the user). In some embodiments, the object information identifies one or more pieces of workout equipment (e.g., 1002c) in the vicinity of the user. In some embodiments, the set of workout segments selected for inclusion in the first personalized workout is determined, at least in part, based on the workout equipment identified in the user's current environment (e.g., selecting a workout segment that requires using workout equipment identified within the current environment surrounding the user and / or excluding a workout segment that requires using workout equipment that is not identified in the user's current environment). Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0339] In some embodiments, the visual information pertaining to the current environment surrounding the user of the computer system includes indoor-outdoor information that is indicative of whether the user of the computer system is indoors or outdoors. In some embodiments, one or more workout segments of a collection of workout segments is excluded from the first personalized workout based on a determination that the user is indoors. In some embodiments, one or more workout segments of a collection of workout segments is excluded from the first personalized workout based on a determination that the user is outdoors (e.g., in FIGS. 10B-10C, the personalized workout does not include wind sprints or bear crawl burpees based on a determination that the user is indoors in a small room). In some embodiments, one or more workout segments of a collection of workout segments is selected for inclusion in the first personalized workout based, at least in part, on a determination that the user is indoors. In some embodiments, one or more workout segments of a collection of workout segments is selected for inclusion in the first personalized workout based, at least in part, on a determination that the user is outdoors (e.g., in FIGS. 10E-10F, the personalized workout includes wind sprints and bear crawl burpees based on a determination that the user is outdoors in an open area). Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0340] In some embodiments, the user-specific information further includes current location information indicative of a current location of the user (e.g., GPS coordinates and / or an address). In some embodiments, the user's current location is determined in response to receiving the request to create the personalized workout for the user of the computer system. In some embodiments, the user's current location is determined prior to receiving the request to create the personalized workout for the user of the computer system. In some embodiments, the first personalized workout is generated based on the visual information collected using the one or more wearable devices worn on the body of the user and the current location information. Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0341] In some embodiments, the user-specific information further includes past workout information that is indicative of one or more previously-completed workouts (e.g., previously completed workout segments and / or previously-completed workout sessions) that have been previously completed by the user of the computer system. In some embodiments, the past workout information includes trainer information, workout duration information, workout music information, and / or workout modality information corresponding to the one or more previously-completed workouts that have been previously completed by the user of the computer system. In some embodiments, the first personalized workout is generated based on the visual information collected using the one or more wearable devices worn on the body of the user and the current location information. For example, in some embodiments, in FIGS. 10B-10C, the dumbbell lunges and / or leg raises segments of the personalized workout are selected over and / or prioritized over other potential workout segments based on trainer information (e.g., trainer information indicative of user 612's preferred trainers); workout music information (e.g., music information indicative of user 612's preferred music); and / or workout modality information (e.g., workout modality information indicative of user 612's preferred workout activities and / or workout modalities). Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0342] In some embodiments, the request to create the personalized workout (e.g., 1006 and / or 1022) includes one or more parameters to be used for creating the personalized workout (e.g., one or more user-specified parameters) (e.g., one or more parameters entered by the user (e.g., via one or more touch inputs, gesture inputs, and / or spoken inputs)). In some embodiments, the one or more parameters specify one or more of: workout modality (e.g., HIIT, cardiovascular exercise, weight training, and / or stretching) and / or workout duration (e.g., a 10-minute workout session, a 20-minute workout session, a 30-minute workout session, a 45-minute workout session, or a 60-minute workout session). In some embodiments, the set of workout segments that are selected for inclusion in the first personalized workout are selected for inclusion in the first personalized workout based on the visual information collected using the one or more wearable devices (e.g., 610, 610a, and / or 610b) worn on the body of the user and the one or more parameters included in the request to create the personalized workout (e.g., based on the set of workout segments satisfying and / or matching the one or more parameters). Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user to efficiently create a personalized workout according to the user's situation with fewer inputs. Furthermore, doing so also enhances the operability of the system and makes the user-system interface more efficient (e.g., by minimizing the number of external devices necessary to connect and collect visual information and / or reducing erroneous and / or incorrect inputs), which additionally reduces battery consumption and improves energy management for using the system.

[0343] In some embodiments, the request to create the personalized workout for the user of the computer system includes spoken input (e.g., 1006 and / or 1022) from the user of the computer system (e.g., spoken inputs received via one or more microphones). Automatically creating a personalized workout for a user using visual information about the user's surroundings allows a user t...

Claims

1. A computer system configured to communicate with one or more input devices and one or more output devices, comprising:one or more processors; andmemory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for:receiving, via one or more wearable devices worn on the body of a user, visual information captured by the one or more wearable devices worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user; andin response to receiving the visual information captured by the one or more wearable devices worn on the body of the user:outputting, via the one or more output devices, first feedback pertaining to a workout session of the user, wherein the first feedback pertaining to the workout session of the user is generated based on the visual information captured by the one or more wearable devices.

2. The computer system of claim 1, wherein the first feedback pertaining to the workout session of the user includes audio feedback pertaining to the workout session of the user.

3. The computer system of claim 1, wherein outputting the first feedback pertaining to the workout session of the user comprises:in accordance with a determination that the visual information captured by the one or more wearable devices includes first visual information, outputting, via the one or more output devices, a first set of feedback; andin accordance with a determination that the visual information captured by the one or more wearable devices includes second visual information different from the first visual information, outputting, via the one or more output devices, a second set of feedback different from the first set of feedback without outputting the first set of feedback.

4. The computer system of claim 1, wherein the visual information captured by the one or more wearable devices is indicative of degree of movement made by the user.

5. The computer system of claim 4, wherein outputting the first feedback pertaining to the workout session of the user based on the visual information captured by the one or more wearable devices comprises:in accordance with a determination that the degree of the movement made by the user as indicated by the visual information satisfies a set of threshold criteria, outputting, via the one or more output devices, first success feedback indicating that the set of threshold criteria is satisfied; andin accordance with a determination that the degree of the movement made by the user as indicated by the visual information does not satisfy the set of threshold criteria, outputting, via the one or more output devices, first failure feedback indicating that the set of threshold criteria is not satisfied.

6. The computer system of claim 1, wherein the visual information captured by the one or more wearable devices is indicative of speed of movement made by the user.

7. The computer system of claim 6, wherein outputting the first feedback pertaining to the workout session of the user based on the visual information captured by the one or more wearable devices comprises:in accordance with a determination that the speed of the movement made by the user as indicated by the visual information satisfies a set of speed criteria, outputting, via the one or more output devices, second success feedback indicating that the set of speed criteria is satisfied; andin accordance with a determination that the speed of the movement made by the user as indicated by the visual information does not satisfy the set of speed criteria, outputting, via the one or more output devices, second failure feedback indicating that the set of speed criteria is not satisfied.

8. The computer system of claim 1, wherein the one or more wearable devices worn on the body of the user include one or more audio output devices worn on the body of the user.

9. The computer system of claim 8, wherein:the one or more audio output devices include one or more cameras; andthe visual information captured by the one or more wearable devices includes visual information collected using the one or more cameras of the one or more audio output devices.

10. The computer system of claim 8, wherein outputting the first feedback pertaining to the workout session of the user includes outputting, via the one or more audio output devices, audio feedback pertaining to the workout session of the user and that is generated based on the visual information captured by the one or more wearable devices.

11. The computer system of claim 10, wherein the audio feedback pertaining to the workout session of the user is automatically generated based on the visual information captured by the one or more wearable devices.

12. The computer system of claim 1, wherein the first feedback pertaining to the workout session of the user includes spatialized audio output that simulates that audio is originating from a respective location relative to the user of the computer system.

13. The computer system of claim 12, wherein outputting the first feedback that includes spatialized audio output includes:in accordance with a determination that the user is performing a first movement, outputting, via the one or more output devices, first spatialized audio output that simulates audio originating from a first location relative to the user of the computer system; andin accordance with a determination that the user is performing a second movement different from the first movement, outputting, via the one or more output devices, second spatialized audio output that is different from the first spatialized audio output and that simulates audio originating from a second location different from the first location without simulating audio originating from the first location.

14. The computer system of claim 12, wherein outputting the first feedback that includes spatialized audio output includes:in accordance with a determination that the user has started a first respective movement, outputting, via the one or more output devices, first respective spatialized audio that simulates audio that is originating from a first respective location; andin accordance with a determination that the user has not started the first respective movement, outputting, via the one or more output devices, second respective spatialized audio that is different from the first respective spatialized audio and that simulates audio that is originating from a second respective location different from the first respective location.

15. The computer system of claim 1, wherein the first feedback pertaining to the workout session of the user is generated based on:the visual information captured by the one or more wearable devices; andadditional information captured by one or more additional input devices of the one or more input devices, wherein the additional information captured by the one or more additional input devices is different from the visual information captured by the one or more wearable devices.

16. A non-transitory computer-readable storage medium storing one or more programs configured to be executed by one or more processors of a computer system that is in communication with one or more input devices and one or more output devices, the one or more programs including instructions for:receiving, via one or more wearable devices worn on the body of a user, visual information captured by the one or more wearable devices worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user; andin response to receiving the visual information captured by the one or more wearable devices worn on the body of the user:outputting, via the one or more output devices, first feedback pertaining to a workout session of the user, wherein the first feedback pertaining to the workout session of the user is generated based on the visual information captured by the one or more wearable devices.

17. A method, comprising:at a computer system that is in communication with one or more input devices and one or more output devices:receiving, via one or more wearable devices worn on the body of a user, visual information captured by the one or more wearable devices worn on the body of the user, wherein the visual information captured by the one or more wearable devices is indicative of motion by the user; andin response to receiving the visual information captured by the one or more wearable devices worn on the body of the user:outputting, via the one or more output devices, first feedback pertaining to a workout session of the user, wherein the first feedback pertaining to the workout session of the user is generated based on the visual information captured by the one or more wearable devices.

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