Method and system to maximize motivational effects by using user behavior data and exposing motivational content using various interfaces of smartphone

Abstract

The present invention relates to a method and a system for displaying motivational content to a user. The method for providing motivational content, according to the present invention, comprises: a user behavior data collection step of acquiring, from a user device, user behavior data which is data associated with the behavior of a user carrying the user device and is data used to determine the behavior of the user; a user behavior data analysis step of determining, on the basis of the user behavior data, user behavior identification information for identifying a type of the behavior of the user at a particular time point; a motivational content provision interface determination step of determining, on the basis of the user behavior identification information, an interface through which motivational content is to be provided on the user device; and a motivational content provision time point determination step of determining, on the basis of the user behavior identification information, a point in time to provide the motivational content on the user device.

Description

A system and method for maximizing motivational effects by displaying motivational content using various interfaces and user behavior data of smartphones.

[0001] The present invention relates to a method and system for providing / displaying motivational content to a user.

[0002] Since the introduction of smart devices that users can carry and use, technologies that utilize the various interfaces of smart devices to provide / display customized information / content / services to users through various interfaces have been developed and used.

[0003] For example, Patent Document 1 (Korean Patent Laid-Open Publication No. 10-2017-0067973, published on June 19, 2017) relates to a terminal implementing a widget by registration time on a pattern-type lock screen and a widget implementation method using the same, and provides a method for providing different content by specific time to an interface such as a lock screen / widget / push. Specifically, Patent Document 1 provides a method for implementing a widget through the steps of implementing a pattern-type lock screen on an input / output unit, the step of implementing a widget by registration time on an upper layer of the pattern-type lock screen, the step of implementing a list of images, titles, subtitles, price information (shopping), providers, and registration time information in a preset number in the widget by registration time, and the step of providing batch confirmation information in a widget list by registration time for the past list after unlocking when a user inputs a pattern matching the pattern-type lock screen on the input / output unit.

[0004] As another example, Patent Document 2 (Korean Patent Registration No. 10-2282361, published on July 21, 2021) relates to a mobile lock screen advertising method, and provides a method for providing different advertising content depending on the number of times and timing of activation of a smartphone lock screen. Specifically, Patent Document 2 provides a method for displaying an advertisement on a mobile lock screen through an advertisement display step of displaying a first advertisement content on the lock screen when the lock screen of a mobile computing terminal is activated, and an advertisement selection display step of selecting and displaying one of the first advertisement content and the second advertisement content on the lock screen when the lock screen on which the first advertisement content is displayed is deactivated and then activated again.

[0005] However, the inventions of content / advertisement provision methods in user terminals disclosed in the above patent documents 1 and 2 do not provide a method of providing / displaying content at an optimal interface and time for each user by utilizing user behavior data.

[0006] In particular, when the content provided to the user is motivational content, there is a need to maximize the user's motivation by providing the motivational content through the optimal interface at the optimal time for each user.

[0007] However, existing motivational content applications registered in app stores simply display motivational content within the application's main screen or at specific interfaces and times selected by the user. Therefore, these existing motivational applications have limitations in providing motivation to users.

[0008] The present invention aims to overcome the limitations of conventional user-tailored content / service provision technologies and motivational content provision technologies, and to provide a method and system that utilizes user behavior data collected through user devices to provide / display motivational content at an optimal time and with an optimal interface for each user, thereby maximizing user motivation.

[0009] In order to solve the above problem, a method for providing motivational content according to one embodiment of the present invention includes a user behavior data collection step of acquiring user behavior data, which is data associated with the behavior of a user possessing a user device and used to determine the user's behavior, from a user device; a user behavior data analysis step of determining user behavior identification information that identifies the type of user's behavior at a specific point in time based on the user behavior data; a motivational content provision interface determination step of determining an interface for providing motivational content on the user device based on the user behavior identification information; and a motivational content provision time determination step of determining a time for providing motivational content on the user device based on the user behavior identification information.

[0010] In one embodiment, the user behavior data includes at least one of a history of use of a specific application on the user device, a category of applications used, a history of content provided by the application, information about the content or subject matter of the content, and information about the activation time or inactivity time of the user device.

[0011] In one embodiment, the user behavior data includes at least one of information about the environment in which the user exists or the user's actions, obtained through a sensor equipped in the user device, and information about the time at which the user's actions occurred.

[0012] In one embodiment, the user behavior identification information includes information identifying the user's physical state or physical activity and environmental information of the identified user behavior.

[0013] In one embodiment, the user behavior identification information includes at least one of the user's waking up, eating, using the bathroom, going to bed, sleeping, taking classes, studying, doing physical activities, working, meeting, having a company dinner, and resting.

[0014] In one embodiment, the user behavior identification information is information indicating a user behavioral state with respect to a user device, and includes at least one of: looking at the screen, not looking at the screen, presence of the user on the side facing the screen, and absence of the user on the side facing the screen.

[0015] In one embodiment, the user behavior data analysis step determines user behavior identification information based on user information including at least one of information about the user's age, gender, status, and preferred behavior, and the user behavior data.

[0016] In one embodiment, the user behavior data analysis step determines user behavior identification information associated with the user behavior data.

[0017] In one embodiment, the association between the user behavior data and the user behavior identification information is preset in whole or in part by an administrator.

[0018] In one embodiment, the association between the user behavior data and the user behavior identification information is performed by a learning model that machine-learns the collected user behavior data and the user behavior identification information.

[0019] In one embodiment, in the motivational content provision interface determination step, the motivational content provision interface is determined based on user behavior identification information for a predetermined period of time prior to or at the time when the motivational content is provided on the user device.

[0020] In one embodiment, in the step of determining the motivational content provision interface, if a plurality of pieces of user behavior identification information exist during the predetermined period, the motivational content provision interface is determined based on the plurality of pieces of user behavior identification information.

[0021] In one embodiment, the motivational content providing interface includes at least one of a motivational content application main screen, a lock screen of a user device, a widget, a notification screen, a notification message, a push notification, and an audio output.

[0022] In one embodiment, the timing of provision of the motivational content includes at least one of a provision date, a provision start time, and a provision end time.

[0023] In one embodiment, the motivational content provision interface determination step determines the motivational content provision interface associated with the user behavior identification information.

[0024] In one embodiment, the association between the user behavior identification information and the motivational content provision interface is preset in whole or in part by an administrator.

[0025] In one embodiment, the association between the user behavior identification information and the motivational content providing interface is performed by a machine-learned learning model of the collected user behavior identification information and the motivational content providing interface.

[0026] In one embodiment, the step of determining the timing of providing the motivational content determines the timing of providing the motivational content associated with the user behavior identification information.

[0027] In one embodiment, the association between the user behavior identification information and the timing of providing the motivational content is preset in whole or in part by an administrator.

[0028] In one embodiment, the association between the user behavior identification information and the timing of providing the motivational content is performed by a learning model that machine-learns the collected user behavior identification information and the timing of providing the motivational content.

[0029] A method for providing motivational content according to one embodiment of the present invention further includes a step of determining motivational content to be provided to a user device, wherein the step of determining motivational content includes a step of collecting motivational content consumption data generated by a process of consuming motivational content, an app usage data collection step of collecting app usage data input by a user while an application is running on the user device in addition to the motivational content consumption data, a step of grouping users into a plurality of user groups by a predetermined topic based on at least a portion of the collected motivational content consumption data and app usage data, and a step of recommending motivational content by providing the user with motivational content associated with a specific user group to which the user belongs.

[0030] A motivational content providing system according to one embodiment of the present invention includes a memory and at least one processor connected to the memory, wherein the at least one processor can be configured to perform the motivational content providing method described above.

[0031] A computer program executable by at least one processor of the motivational content providing system of the present invention according to one embodiment and stored in a computer-readable storage medium can perform the motivational content providing method described above.

[0032] A computer-readable storage medium recording a computer program for providing motivational content according to one embodiment of the present invention can record a computer program for performing the above-described motivational content providing method.

[0033] According to the method and system for providing motivational content of the present invention, in addition to the interface or time directly designated by the user, the motivational effect can be maximized by exposing motivational content to the user at an optimal time (wake-up time, bedtime, meal time, shower time, time when the smartphone is inactive for a certain period of time, etc.) and in an optimal interface (motivational content application main screen, lock screen, widget, notification screen, push notification, etc.) by utilizing user behavior data collected from the user device.

[0034] In addition, according to the motivational content providing method and system of the present invention, personalized motivational content can be recommended for each user by utilizing user data collected through a motivational content application, thereby maximizing the user's motivation.

[0035] Figure 1 is a flowchart of a method for providing motivational content in one embodiment of the present invention.

[0036] FIG. 2 is a diagram showing the configuration of a motivational content provision system according to one embodiment of the present invention.

[0037] Figure 3 is a flowchart of a method for providing motivational content in one embodiment of the present invention.

[0038] FIG. 4 is a diagram showing the configuration of a motivational content provision system according to one embodiment of the present invention.

[0039] FIG. 5 is a reference diagram for explaining the operation of a motivational content provision system in one embodiment of the present invention.

[0040] Hereinafter, various embodiments of the present invention will be described. However, it is to be understood that the technical idea of ​​the present invention is not limited thereto and can be modified and implemented in various ways by those skilled in the art. In addition, the terms used in this specification are used to describe the concept of the present invention and embodiments thereof, and are not intended to limit the present invention to the dictionary or phraseological meaning of the terms. For example, the singular expression in this specification may include the plural expression unless the context clearly indicates otherwise. In addition, the terms "comprise" or "have" in this specification indicate the presence of a certain configuration, step, operation, or combination thereof, and do not exclude the possibility of the presence or addition of other configurations, steps, or operations, unless the context clearly indicates otherwise.

[0041] Unless otherwise stated herein, "connected" or "coupled" may include one element / feature being directly connected or coupled to another element / feature, or indirectly connected or coupled through another element / feature, and does not necessarily mean directly mechanically connected or coupled. Accordingly, while the various schematic diagrams depicted in the drawings illustrate exemplary arrangements of elements and components, additional intervening elements, devices, features, or components may be present in actual embodiments (assuming the functionality of the depicted elements is not adversely affected).

[0042] Additionally, in this specification, “transmitting” or “receiving” may include not only transmitting or receiving information directly between a sender and a receiver, but also transmitting or receiving information through another entity, unless otherwise stated.

[0043] People set and strive for better, more productive lives, but often, due to the inertia of busy daily lives or lifestyle habits, they easily give up on these goals and settle for the status quo. However, because of a fundamental human need that cannot be abandoned, people typically set goals, attempt them, and then give up on them. In other words, most people live in a cycle of setting goals, attempting to achieve them, and then giving up on them, all for the sake of personal development.

[0044] While there are various books, speeches, and content on self-development and motivation, these motivational contents are typically structured so that users access and use them directly when they think of them. Therefore, in most cases, users do not directly access motivational contents when they need motivation the most, such as when they are in a state of giving up or feeling lazy or bothered.

[0045] Furthermore, the sheer volume of motivational content available worldwide is vast, and this vast content is typically presented to users in a simple list or categorized by limited keywords and categories. This makes it difficult for users, often busy with their daily lives, to easily find the motivational content they want or need. In other words, the traditional method of providing motivational content to users is inherently passive.

[0046] Accordingly, the present invention addresses the problems of conventional motivational content provision methods and provides a method and system for providing motivational content so that users can be exposed to motivational content at an optimal time and with an optimal interface based on their device behavior. The present invention utilizes various user behavior data that can be collected when users of smart devices such as smartphones or tablets use their devices, thereby providing a method and system for providing motivational content to users at an optimal time and interface.

[0047] In addition, the method and system for providing motivational content of the present invention provide a method and system that can efficiently recommend and provide personalized motivational content.

[0048] The method for providing motivational content in the present invention can be implemented by a user device and a server connected thereto. The user device, as used to provide motivational content to the user, may include any known smart device, such as a smartphone, tablet, smartwatch, or wearable device, or a laptop or PC. The server may be implemented as one or more server devices, and may also be implemented on a distributed network or cloud server, as needed.

[0049] Here, motivational content can include any content that has a motivating effect on users, such as text, still images, video, and audio. For example, motivational content can include content representing proverbs, quotes, excerpts from books, or excerpts from lectures or speeches. However, motivational content is not limited to these, and can include any content pre-classified and stored in the system as motivational content.

[0050] The present invention provides a method and system for providing motivational content including the configuration and means described below.

[0051] Determining the interface and timing of delivering motivational content

[0052] The present embodiment relates to a method for determining an optimal interface and timing for providing motivational content to a user device based on user behavior data.

[0053] In this embodiment, motivational content can be provided to a user device at an optimal interface and timing determined by the method described below. The motivational content provided here can be determined by the motivational content determination method of the present invention, described below. This embodiment describes a method for determining the optimal interface and timing for providing the determined motivational content to a user.

[0054] Figure 1 is a flowchart of a method for providing motivational content in one embodiment of the present invention.

[0055] As illustrated in FIG. 1, a method for providing motivational content in one embodiment of the present invention may include a user behavior data collection step (S10), a user behavior data analysis and behavior definition step (S20), a motivational content provision interface determination step (S30), and a motivational content provision timing determination step (S40).

[0056] In the user behavior data collection step (S10), user behavior data acquired from the user device while the user uses the device is stored. That is, among the information acquired from the user device, data related to the user's behavior can be stored as user behavior data.

[0057] Here, user behavior data may include all data that is directly or indirectly related to the user's behavior and that can be used to determine what the user's behavior is.

[0058] In one embodiment, user behavior data may include information about a user's use of a user device that directly reflects the user's behavior. For example, user behavior data may include information such as a history of specific application usage on the user device, the categories of applications used, a history of content provided by the application, information about the content or subject matter of that content, and the duration of activity or inactivity of the user device.

[0059] In one embodiment, user behavior data may include information acquired through sensors installed on the user device. The information acquired through the sensors represents the user's environment and actions, and thus can be used to determine user behavior, and thus collected and stored as user behavior data.

[0060] Here, the user behavior data may include: illuminance information acquired by an illuminance sensor, humidity information acquired by a humidity sensor, pressure information acquired by a pressure sensor, temperature information acquired by a temperature sensor, motion information including at least one of acceleration, gravity, rotational speed, rotational vector, and drift (bias) acquired by a motion sensor, position information acquired by a position sensor, light reception information for emitted light of a specific wavelength band acquired by a photosensitive sensor, and heart rate information of the wearer acquired by a heart rate sensor.

[0061] Here, user behavior data may include surrounding 3D shape information acquired by a lidar sensor, audio information acquired by a microphone, and image information acquired by a camera.

[0062] Here, the user behavior data may include time information, and the time information may be obtained through a clock provided in the user device and / or an external time server.

[0063] Here, user behavior data may include weather information, and the weather information may be obtained through an external weather server.

[0064] Data acquired from these sensors, etc., can be acquired as user behavior data because it includes information about the environment and manner in which the user uses the user device and the user's actions, and because it is possible to determine what the user's behavior is based on this information.

[0065] In the user behavior data analysis and behavior definition step (S20), the user behavior data collected in the user behavior data collection step (S10) is analyzed to define user behavior at a specific point in time. Here, user behavior identification information indicating the user's behavior at a specific point in time can be determined based on the user behavior data.

[0066] Here, user behavior identification information can be information identifying the user's physical condition or activity, or information indicating whether or not a specific user action is being performed or inactive. Furthermore, user behavior identification information can also include environmental information related to the identified user action. This environmental information can include information regarding the time and location of the user action. This environmental information can be part of the user behavior data.

[0067] For example, user behavior identification information may be information identifying 'weather', and may additionally include environmental information such as '7:00 AM' and 'home' as needed.

[0068] In one embodiment, user behavior identification information may be information identifying the user's daily life status, such as waking up, eating, using the bathroom (such as showering), going to bed, or sleeping.

[0069] In one embodiment, user behavior identification information may be information identifying a specific life situation based on the user's identity or age. For example, if the user is a student, this information may identify classes, study, or physical activities. For example, if the user is an adult, this information may identify work, meetings, company dinners, or rest.

[0070] In one embodiment, the user action identification information may be information indicating the user's action / existence status with respect to the user device, and may be information identifying whether the user is looking at the screen, not looking at the screen, whether the user is present on the side facing the screen, or whether the user is not present on the side facing the screen.

[0071] In one embodiment, user behavior identification information may be determined based on user behavior data, and, if necessary, additional user information may be analyzed along with the behavior data. For example, information regarding the user's age, gender, identity, and preferred behaviors entered into the user device may be additionally analyzed, and the inclusion of such additional information in the analysis may improve the accuracy of user behavior identification.

[0072] In one embodiment, the matching or association between user behavior data and / or user information and user behavior identification information may be determined by an administrator. That is, the administrator may preset user behavior identification information for each user behavior data and / or user information, and accordingly determine user behavior identification information corresponding to the user behavior data and / or user information at a specific point in time.

[0073] In one embodiment, matching or correlating user behavior data and / or user information with user behavior identification information may be performed by a classifier based on known machine learning. That is, user behavior identification information corresponding to user behavior data and / or user information at a specific point in time may be determined by a classifier generated by machine learning based on training data of labeled user behavior data and / or user information.

[0074] In the motivational content provision interface determination step (S30), an interface for providing motivational content on a user device is determined based on the user behavior identification information determined in the user behavior data analysis and behavior definition step (S20).

[0075] In one embodiment, the motivational content provision interface may be determined based on user behavior identification information for a predetermined period of time prior to or at the time the motivational content is provided on the user device. In one embodiment, the motivational content provision interface may be determined based on user behavior identification information determined at the current time point of providing the motivational content on the user device. In one embodiment, the motivational content provision interface may be determined based on user behavior identification information determined at the current time point of providing the motivational content on the user device. Here, the predetermined period of time may be set as needed, and may be set to, for example, 5 seconds, 10 seconds, 30 seconds, 60 seconds, 10 minutes, 30 minutes, 1 hour, 2 hours, etc. In addition, if multiple types of user behavior identification information exist during the predetermined period, the motivational content provision interface may be determined based on the multiple pieces of user behavior identification information.

[0076] Here, the user device interface may include any type of screen display that can be provided on the user device, such as the motivational content application main screen, the user device lock screen, widgets, notification screens / messages, push notifications, etc. The interface may also include an audio output port.

[0077] In one embodiment, the matching or association between user behavior identification information and a motivational content provision interface can be determined by an administrator. That is, the administrator can preset a motivational content provision interface for each user behavior identification information, and accordingly determine a motivational content provision interface corresponding to the user behavior identification information at a specific point in time.

[0078] In one embodiment, the matching or association between user behavior identification information and a motivational content provision interface may be performed by a classifier based on known machine learning. That is, a motivational content provision interface corresponding to the user behavior identification information at a specific point in time may be determined by a classifier generated by machine learning based on labeled user behavior identification information.

[0079] For example, if the user behavior identifier is "getting up," the motivational content delivery interface could be audio output or a notification screen / message. The motivational content could be played via audio output on the user's device, or the motivational content could be displayed on a notification screen / message, or a selection menu could be displayed to trigger the display of the content.

[0080] For example, if the user behavior identification information is "showering" and "user presence on the side facing the screen," the motivational content delivery interface may be audio output or the lock screen. The motivational content may be played via audio output on the user's device, displayed on the lock screen, or a selection menu may be displayed to trigger the display of the content.

[0081] In the step of determining the timing of providing motivational content (S40), the timing of providing motivational content on the user device is determined based on the user behavior identification information determined in the step of analyzing user behavior data and defining behavior (S200).

[0082] Here, the timing of provision of motivational content may include the provision date, provision start time, and provision end time.

[0083] In one embodiment, the matching or association between user behavior identification information and the timing of providing motivational content can be determined by the administrator. That is, the administrator can preset the timing of providing motivational content for each user behavior identification information, and accordingly determine the timing of providing motivational content corresponding to the user behavior identification information at a specific time.

[0084] In one embodiment, matching or correlating user behavioral identification information with the timing of providing motivational content may be performed by a classifier based on known machine learning. That is, a classifier generated by machine learning based on labeled user behavioral identification information may determine the timing of providing motivational content corresponding to the user behavioral identification information at a specific time.

[0085] FIG. 2 is a drawing showing the configuration of a motivational content provision system (10) in one embodiment of the present invention.

[0086] As shown in the illustration in FIG. 2, a motivational content provision system (10) in one embodiment of the present invention may include a user behavior data storage unit (1000), a user behavior data analysis unit (2000), a motivational content provision interface determination unit (3000), and a motivational content provision time determination unit (4000).

[0087] The user behavior data storage unit (1000) stores user behavior data collected from a user device, and stores data collected by the process of the user behavior data collection step (S10) described above.

[0088] The user behavior data analysis unit (2000) analyzes the collected user behavior data to define user behavior, and the data collected by the process of the user behavior data analysis and behavior definition step (S20) described above is stored.

[0089] The motivational content provision interface determination unit (3000) determines the optimal interface for providing motivational content on a user device based on user behavior, and performs the process of the motivational content provision interface determination step (S30) described above.

[0090] The motivational content provision timing determination unit (4000) determines the optimal timing for providing motivational content on a user device based on user behavior, and performs the process of the motivational content provision timing determination step (S40) described above.

[0091] According to the method and system for providing motivational content of the present invention, in addition to the interface or time directly designated by the user, the motivational effect can be maximized by exposing motivational content to the user at an optimal time (wake-up time, bedtime, meal time, shower time, time when the smartphone is inactive for a certain period of time, etc.) and in an optimal interface (motivational content application main screen, lock screen, widget, notification screen, push notification, etc.) by utilizing user behavior data collected from the user device.

[0092] The method and system for providing motivational content of the present invention can contribute to the achievement of a user's goals and the formation of desirable habits by providing motivational content at an optimal time and interface so that the user can form habits that enable the user to spend time productively.

[0093] Determining motivational content

[0094] Hereinafter, a method and system for determining motivational content to be provided to a user, in one embodiment of the present invention, are provided. Specifically, the present invention provides user-tailored motivational content, determined using the method described below, through an optimal interface and / or at an optimal time determined using the aforementioned motivational content provision interface and timing determination method, to a user device.

[0095] Figure 3 is a flowchart of a method for providing motivational content in one embodiment of the present invention.

[0096] As illustrated in FIG. 3, a method for providing motivational content in one embodiment of the present invention may include a motivational content consumption data collection step (S100), an app usage data collection step (S200), a user clustering step (S300) based on the collected data and a motivational content recommendation step (S400).

[0097] Here, the user can consume motivational content provided to the user through the motivational content recommendation step (S400), and at this time, the motivational content consumption data collection step (S100) can be performed. In other words, the provision and consumption of motivational content can occur cyclically.

[0098] In the motivational content consumption data collection step (S100), data generated when motivational content is consumed on a user device is collected.

[0099] Here, consuming motivational content on a user device includes receiving an input to display / output the motivational content on the user device so that the user can view or watch it, or to store the motivational content on the user device or other devices. Furthermore, consuming motivational content on a user device includes receiving certain user input regarding the content, such as an input requesting to share the content with others, an input requesting to select the content, an input requesting to click on a like icon, an input requesting to add the content to favorites, an input requesting to click on a recommend icon, etc. Furthermore, consuming motivational content on a user device includes receiving an input requesting to access, select, and / or process predefined content that follows or accompanies the content.

[0100] When a user consumes motivational content on their device, consumption data generated or generated in response to that consumption may be collected. This consumption data may be collected on the user's device, or it may be collected from an external server communicating with the user's device based on information collected on the user's device.

[0101] Here, consumption data for motivational content may include information identifying the consumption behavior of the aforementioned motivational content on the user's device, as well as detailed information describing the content of that consumption behavior. Furthermore, consumption data for motivational content may include information regarding the time each consumption behavior was performed, the number of consumption behaviors, the location where the consumption behavior occurred, and all contextual information related to the time of the consumption behavior, such as weather conditions and the time spent on the consumption behavior.

[0102] In one embodiment, the method for providing motivational content of the present invention may provide a screen displaying one or more motivational content items to a user or audio playback. In one embodiment, the user's selection input for a specific motivational content item may be input via a touchscreen input or voice command.

[0103] In one embodiment, the presentation of such motivational content and / or the provision of a selection input screen may be provided on a user device at an optimal interface and / or at an optimal time determined by the motivational content provision method of the present invention described above.

[0104] In one embodiment, a screen provided for a user to consume motivational content may be displayed on the user device. The screen provided for consuming motivational content may be at least one of the following interfaces: the motivational content application main screen, the user device's lock screen, a widget, a notification screen, or a push notification.

[0105] In one embodiment, a screen displaying an input menu for initiating provision of motivational content is displayed on the user device, and upon selection of the input menu, the provision process of motivational content can be initiated.

[0106] In one embodiment, a start screen may be displayed on the user device that initiates the presentation of one or more motivational content items, and the user may acknowledge that the process of presenting motivational content items is about to begin by viewing the screen.

[0107] In one embodiment, a screen may be displayed on the user device informing the user that a user input action can be used to view a list of multiple motivational content items on the screen. For example, a swipe input received on the user device may cause a user to switch between multiple motivational content items, and the user may view the switched motivational content items.

[0108] In one embodiment, when a specific motivational content is selected from the list, the content of the specific motivational content may be displayed, and an input menu for selecting the motivational content may be displayed on the screen. While the motivational content is displayed on the user device, a predetermined music may be played on the user device. The music may be preset background music and / or music associated with the displayed motivational content. A menu for determining the volume and / or muting of the music may be displayed on the user screen.

[0109] In one embodiment, a user may consume motivational content by viewing and, if necessary, selecting motivational content through at least one of the user interface screens described above.

[0110] In one embodiment, when providing / displaying one or more motivational contents to a user, motivational contents may be selected and recommended / provided based on a user group to which the user belongs, and this may be accomplished by a motivational contents recommendation step (S400) described below.

[0111] In the present embodiment, the motivational content is consumed by displaying the motivational content on the screen and / or by the user's selection input therefor. However, the content consumption of the present invention is not limited thereto, and may include all inputs received from the user device or all detections detected through sensors in relation to the content while the specific content is provided / displayed / output / identified on the user device as described above. For example, the content may be consumed by simply displaying the motivational content without selection. Furthermore, the content may also be consumed by audio output in addition to the screen display of the motivational content. In this case, the selection of the content may be an audio input signal. Furthermore, the generation of a detection signal from a sensor connected to the user device that detects the user's action while the motivational content is provided / displayed / output / identified on the user device may be defined as the consumption of the content.

[0112] Here, the interface through which motivational content is provided / displayed / output / identified to the user can be determined by the motivational content providing method of the present invention described above.

[0113] Next, in the app usage data collection step (S200), in addition to motivational content consumption data, data generated, acquired, or generated from interfaces or functions provided to users in the motivational content application is collected.

[0114] App usage data may include information entered by a user as he or she uses an application, and information generated or collected in connection with that entered information, excluding content consumption data.

[0115] For example, app usage data may include various texts entered by the user into the application, user status information such as emotions / moods, etc. For example, the user may enter text into the application, and the text may be collected as app usage data. Here, the text may be the user's diary, or the user's input information about the user's status. In addition, the user may input his / her status such as emotions or moods into the application, and the input information may be collected as app usage data. Here, to enable the user to input his / her emotional state, icons and / or texts representing a certain type of emotional state, such as motivated, happy, grateful, good, angry, or sad, may be displayed on the screen, and the user may select and input the corresponding icons and / or texts. In one embodiment, the collection of app usage data may be performed via an audio interface.

[0116] Here, app usage data may be collected from the user device, or may be collected from an external server that communicates with the user device based on app usage data collected from the user device.

[0117] In the present invention, the collection of motivational content consumption data and the collection of app usage data may be performed simultaneously and / or through the same screen, as needed, or may be performed through separate screens at different times.

[0118] Next, in the step (S300) of clustering users based on relevance based on the collected data, user groups can be created based on the information collected in the step (S100) of collecting motivational content consumption data and the step (S200) of collecting app usage data. Here, at least some of the collected motivational content consumption data and app usage data can be used to cluster users into subgroups by associating them with a given topic, thereby creating one or more user groups.

[0119] In one embodiment, users who use the application at a specific location or at a specific time can be clustered into the same user group.

[0120] In one embodiment, users expressing specific moods or emotional states can be clustered into the same user group. For example, users who input any of the following emotional states as their emotional state: motivated, happy, grateful, good, angry, or sad can be clustered into groups based on each emotional state. In addition to emotional states, user groups can also be clustered based on pre-defined user states.

[0121] In one embodiment, motivational content may be pre-assigned one or more tag information, and users who have consumed motivational content with specific tag information may be grouped into the same user group. Additionally, users who have consumed motivational content pre-classified as similar may be grouped into the same user group.

[0122] In this stage of clustering users, people are clustered by specific topics to create related user groups.

[0123] In one embodiment, the matching or association between motivational content consumption data and / or app usage data and user groups may be determined by an administrator.

[0124] In one embodiment, matching or associating user groups with motivational content consumption data and / or app usage data may be performed by a classifier based on known machine learning. That is, user groups corresponding to motivational content consumption data and / or app usage data may be determined by a classifier generated by machine learning based on training data of labeled motivational content consumption data and / or app usage data.

[0125] Here, clustering of user groups can be done on a server connected to multiple user devices.

[0126] Next, in the motivational content recommendation step (S400), users are identified by the user groups created by clustering in the user clustering step (S300), and customized motivational content is determined for each user group and provided to the users, thereby recommending motivational content.

[0127] In one embodiment, the user group of the user may be determined based on the user's app usage data collected in the app usage data collection step (S200). For example, the collected app usage data may include input data related to the user's user status, and the user group of the user may be determined based on that input data. Furthermore, the user group of the user may be determined based on app usage data other than the user status. Furthermore, the user group of the user corresponding to the user's app usage data may be determined using the machine-learned classifier described above.

[0128] In one embodiment, specific motivational content may be pre-associated with a specific user group, and the motivational content associated with that user group may be provided to the user. In one embodiment, motivational content pre-associated with a user group representing a user state may be selected and provided. For example, a user group comprising users who input any of the following emotional states as their emotional state may be selected and provided with motivational content pre-associated with that emotional state.

[0129] Here, the association between user groups and motivational content can be pre-established based on motivational content consumption data and / or app usage data. Preferably, this can be achieved by a machine-learned learning model that utilizes the collected content consumption data, app usage data, and motivational content data. The learning model can be constructed using any known machine learning model, deep learning model, or other learning model, utilizing the content consumption data, app usage data, and motivational content data as labeled learning data.

[0130] Alternatively, the association between user groups and motivational content may be pre-configured, in whole or in part, by the administrator, as needed.

[0131] In one embodiment, a user may belong to multiple user groups, in which case motivational content relevant to all of the user groups may be presented to the user. For example, if a user belongs to the 30s user group, the male user group, and the angry user group, only motivational content relevant to each of the user groups may be presented to the user.

[0132] In the present invention, by recommending and providing motivational content pre-associated with one or more user groups based on the user groups, the user can be provided with optimal customized motivational content for each person and / or situation.

[0133] In one embodiment, as a user group is updated and the motivational content is updated, the association between the user group and the motivational content may also be updated, and when such an update occurs, a new list of motivational content may be presented to the users in that user group.

[0134] In one embodiment, a motivational content application may provide a screen that provides motivational content based on the user's current state, and to do this, may first receive a user's selection input for a specific user state, such as through input from a touch screen.

[0135] In one embodiment, the provision of motivational content based on the user's current status and / or the user's selection input for a specific user status may be provided on the user device through an optimal interface and / or at an optimal time determined by the motivational content provision method of the present invention described above. The interface may be at least one of the motivational content application main screen, the user device's lock screen, a widget, a notification screen, or a push notification. Additionally, the interface may also be audio input / output, as needed.

[0136] In one embodiment, a screen is displayed displaying an input menu that initiates the provision of motivational content based on the user's current state. Upon selecting the input menu, the process of providing motivational content based on the user's current state may be initiated. While the following describes an example of a user's emotional state, other user states may also be used.

[0137] In one embodiment, a screen may be displayed for selecting and inputting the emotional states of one or more users, and the selected emotional states of the users may be input and stored as app usage data according to the app usage data collection step (S200) described above.

[0138] In one embodiment, a screen may be displayed that provides motivational content determined based on an emotional state selected by the user, and the motivational content displayed here may be determined according to the motivational content recommendation step (S400) described above.

[0139] In one embodiment, a screen may be displayed where a user can directly input text. For example, text containing the user's diary entry or resolution for the day may be input using a keyboard displayed on the user device. The input text may be entered and stored as app usage data according to the app usage data collection step (S200) described above.

[0140] In one embodiment, a screen may be displayed that displays motivational content determined based on the emotional state selected by the user and text directly entered by the user, and by providing such a screen, the user can simultaneously check motivational content appropriate to the user's current emotional state and text directly entered by the user on one screen, thereby being more reliably motivated.

[0141] In one embodiment, a screen may be displayed on the user's device, displaying motivational content selected by the user in the morning, and then later, for example, in the afternoon, evening, or night, based on the user's emotional state. This screen presentation allows the user to reflect on motivation at the beginning and end of the day.

[0142] In one embodiment, the method for providing motivational content of the present invention may further include the step of generating an alarm on a user device to remind the user to consume the motivational content and / or enter app usage data.

[0143] In one embodiment, the alarm triggering time may be set to the optimal time determined by the aforementioned motivational content provision method of the present invention. An alarm screen may be displayed at that time, along with a predetermined alarm sound. Furthermore, the alarm screen may be provided through the optimal interface determined by the aforementioned motivational content provision method of the present invention.

[0144] In one embodiment, the alarm screen may include a screen for recommending motivational content or a menu for accessing that screen. In one embodiment, the screen for recommending motivational content may be a screen provided for the user to consume motivational content. Furthermore, the screen for recommending motivational content may be a screen that provides motivational content based on the user's current status. In one embodiment, the alarm screen may display an input menu for pausing or permanently stopping the alarm.

[0145] The present invention can help users achieve their goals and form habits by generating an alarm on a user device to remind the user to consume / provide motivational content.

[0146] In one embodiment, the alarm screen may include a screen for entering app usage data or a menu for accessing that screen. In this case, users can enter app usage data and receive feedback based on the alarm, thereby helping them achieve their goals and build habits.

[0147] According to the present invention, it is easy to form a habit of consuming motivational content with an optimal interface at an optimal time according to the user's behavioral pattern, and strong motivation can be achieved by providing the user with optimal customized motivational content.

[0148] According to the method for providing motivational content of the present invention, personalized motivational content can be recommended to each user by utilizing user data collected through a motivational content application, thereby maximizing user motivation. Furthermore, according to the method for providing motivational content of the present invention, in addition to user data related to motivational content consumption, personal information (diary, mood, etc.) directly entered by the user in the application, user data automatically collected by the application (app usage time zone, usage time, usage location, etc.), and even other non-structured data can be utilized to provide personalized motivational content tailored to the user's specific situation.

[0149] FIG. 4 is a diagram showing the configuration of a motivational content provision system (10) in one embodiment of the present invention.

[0150] As shown in the illustration of FIG. 4, a motivational content provision system (10) in one embodiment of the present invention may include a motivational content consumption data storage unit (100), an app usage data storage unit (200), a user behavior data analysis unit (300), and a recommended motivational content determination unit (400).

[0151] The motivational content consumption data storage unit (100) stores data generated when an application user consumes motivational content, and stores data collected by the process of the motivational content consumption data collection step (S100) described above.

[0152] The app usage data storage unit (200) stores data such as mood / emotion information, text, app usage time / location, etc. that are directly input by the user or automatically collected while using other applications, and data collected by the process of the app usage data collection step (S200) described above is stored.

[0153] The user behavior data analysis unit (300) analyzes various user behavior data to analyze the correlation between specific behavior data and motivational content, and performs the process of grouping users according to the correlation based on the collected data described above (S300).

[0154] The recommended motivational content determination unit (400) selects motivational content to be recommended for each specific person and situation based on the analyzed data, and performs the process of the motivational content recommendation step (S400) described above.

[0155] FIG. 5 is a reference diagram for explaining the operation of a motivational content providing system (10) that performs the motivational content providing method of the present invention.

[0156] The motivational content provision system (10) receives motivational content consumption data and / or app usage data, as described above, from a user device (20) (S1000). This allows the system (10) to receive user data, such as preferred content, and user data for habit formation analysis from the user.

[0157] Additionally, the motivational content provision system (10) selects and provides motivational content corresponding to the user group corresponding to the user device (20) as described above (S2000). This allows the user to receive personalized motivational content and form habits through effective self-motivation.

[0158] In addition, the motivational content provision system (10) is connected to the motivational content database (30) and provides motivational content associated with the user group corresponding to the user as described above (S4000).

[0159] Additionally, for this purpose, the motivational content provision system (10) can build a learning model by utilizing collected content consumption data, app usage data, and motivational content data as labeled learning data (S3000). Any known machine learning algorithm can be used.

[0160] A motivational content providing system according to one embodiment of the present invention includes a memory and at least one processor connected to the memory, wherein the at least one processor can be configured to perform the motivational content providing method described above.

[0161] A computer program executable by at least one processor of the motivational content providing system of the present invention according to one embodiment and stored in a computer-readable storage medium can perform the motivational content providing method described above.

[0162] A computer-readable storage medium recording a computer program for providing motivational content according to one embodiment of the present invention can record a computer program for performing the above-described motivational content providing method.

[0163] The motivational content providing device / system of the present invention may be configured to include a communication unit, a storage unit (temporary / non-transitory storage device, memory, etc.), and a control unit (at least one processor or logic circuit, etc.). Here, the storage unit may temporarily / non-temporarily store program instructions and at least some of the databases for executing the functions of each device, and the functions of each device described above may be executed as the program instructions stored in the storage unit are executed by the control unit. Such a device may be a commercially available computer, or an embedded system may be designed and used.

[0164] The sequence of operations described in the methods or processes disclosed herein is provided as an example. Therefore, the order of the steps may be adjusted as needed within the spirit of the present invention. That is, the steps of the present invention do not necessarily have to be performed in the order of their identification numbers. They may be performed in parallel, or steps assigned higher identification numbers may begin before steps assigned lower identification numbers, as long as the objectives of the present invention can be achieved.

[0165] Additionally, the devices and systems disclosed herein may include means for performing the functions described herein, and may be implemented as independent devices or systems, or may exist in a form linked or integrated with other systems, as needed.

[0166] The techniques described herein may be implemented, at least in part, in hardware, software, firmware, or any combination thereof. For example, they may be implemented in one or more processors, DSPs, ASICs, FPGAs, or equivalent integrated or discrete logic circuits, or any combination of at least one of these. Such hardware, software, and firmware may be implemented within one or more systems or devices to support the operations and functions disclosed herein, or may be implemented in conjunction with or integrated with other systems or devices. Furthermore, the components described herein may be implemented together with or separately from discrete but interoperable logic devices. Each function and operation described separately herein is described as such merely to emphasize its respective functionality, and such functions do not necessarily have to be implemented in separate hardware, firmware, or software components, but may be integrated within a common or separate combination of hardware and / or software. The terms "processor" or "processing circuit" may generally refer to any of the aforementioned logic circuits alone or in combination with other logic circuits, or any other equivalent circuit. A control unit including hardware may perform one or more of the techniques of the present disclosure.

[0167] Additionally, the techniques described herein may be implemented or stored in a computer-readable storage medium containing instructions. The instructions stored in the computer-readable storage medium may cause a processor in each device to perform methods and operations related to the instructions. The computer-readable storage medium may include RAM, ROM, PROM, EPROM, EEPROM, flash memory, hard disks, CD-ROMs, magnetic media, optical media, or other storage media.

Claims

1. In terms of providing motivational content, A user behavior data collection step for acquiring user behavior data, which is data associated with the behavior of a user possessing a user device and used to determine the user's behavior, from the user device; A user behavior data analysis step for determining user behavior identification information that identifies the type of user behavior at a specific point in time based on the above user behavior data; A motivational content provision interface determination step for determining an interface for providing motivational content on a user device based on the above user behavior identification information; and A method for providing motivational content, comprising a motivational content provision timing determination step of determining a timing for providing motivational content on a user device based on the user behavior identification information.

2. In paragraph 1, A method for providing motivational content, wherein the user behavior data includes at least one of a history of using a specific application on a user device, a category of applications used, a history of content provided by an application, information about the content or subject matter of the content, and information about the activation time or inactivity time of the user device.

3. In paragraph 1, A method for providing motivational content, wherein the above user behavior data includes at least one of information about the environment in which the user exists or the user's actions obtained through a sensor equipped in the user device, and information about the time at which the user's actions occurred.

4. In paragraph 1, A method for providing motivational content, wherein the above user behavior identification information includes information identifying the user's physical state or physical activity and environmental information of the identified user behavior.

5. In paragraph 1, A method for providing motivational content, wherein the above user behavior identification information includes at least one of the user's waking up, eating, using the bathroom, going to bed, sleeping, taking classes, studying, doing physical activities, working, meeting, company dinner, and resting.

6. In paragraph 1, The above user behavior identification information is information indicating the user's behavioral status with respect to the user device, and includes at least one of: looking at the screen, not looking at the screen, user presence on the side facing the screen, and user absence on the side facing the screen. A method for providing motivational content.

7. In paragraph 1, A method for providing motivational content, wherein, in a user behavior data analysis step, the method comprises determining user information including at least one of information on the user's age, gender, status, and preferred behavior, and user behavior identification information based on the user behavior data.

8. In paragraph 1, A method for providing motivational content, wherein the user behavior data analysis step determines the user behavior identification information associated with the user behavior data.

9. In paragraph 8, A method for providing motivational content, wherein the association between the above user behavior data and the above user behavior identification information is preset in whole or in part by an administrator.

10. In paragraph 8, A method for providing motivational content, wherein the association between the user behavior data and the user behavior identification information is performed by a machine-learned learning model of the collected user behavior data and the user behavior identification information.

11. In paragraph 1, A method for providing motivational content, wherein, in the step of determining the motivational content providing interface, the motivational content providing interface is determined based on user behavior identification information for a predetermined period of time prior to or at the time when the motivational content is provided on the user device.

12. In paragraph 11, A method for providing motivational content, wherein, in the step of determining the motivational content provision interface, if a plurality of pieces of user behavior identification information exist during the predetermined period, the motivational content provision interface is determined based on the plurality of pieces of user behavior identification information.

13. In paragraph 1, A method for providing motivational content, wherein the above motivational content providing interface includes at least one of a motivational content application main screen, a lock screen of a user device, a widget, a notification screen, a notification message, a push notification, and an audio output.

14. In paragraph 1, A method for providing motivational content, wherein the provision time of the above motivational content includes at least one of a provision date, a provision start time, and a provision end time.

15. In paragraph 1, A method for providing motivational content, wherein the step of determining the motivational content providing interface comprises determining the motivational content providing interface associated with the user behavior identification information.

16. In paragraph 15, A method for providing motivational content, wherein the association between the above user behavior identification information and the motivational content providing interface is preset in whole or in part by an administrator.

17. In paragraph 15, A method for providing motivational content, wherein the association between the user behavior identification information and the motivational content providing interface is performed by a learning model that machine-learns the collected user behavior identification information and the motivational content providing interface.

18. In paragraph 1, A method for providing motivational content, wherein the step of determining the timing of providing the motivational content determines the timing of providing the motivational content associated with the user behavior identification information.

19. In paragraph 18, A method for providing motivational content, wherein the association between the above user behavior identification information and the timing of providing motivational content is preset in whole or in part by an administrator.

20. In paragraph 18, A method for providing motivational content, wherein the association between the user behavior identification information and the timing of providing the motivational content is performed by a learning model that machine-learns the collected user behavior identification information and the timing of providing the motivational content.

21. In paragraph 1, Further comprising the step of determining motivational content to be provided on the user device; The steps for determining the above motivational content are: A step of collecting motivational content consumption data generated by processing of consuming the above motivational content; An app usage data collection step for collecting app usage data entered by a user while the application is running on a user device in addition to the above motivational content consumption data; A step of clustering users into multiple user groups based on a predetermined topic based on at least some of the collected motivational content consumption data and app usage data; and A method for providing motivational content, comprising the step of recommending motivational content to a user by providing motivational content associated with a specific user group to which the user belongs.

22. As a system for providing motivational content, memory; and comprising at least one processor connected to said memory, At least one processor of the above: A motivational content providing system configured to perform a motivational content providing method as described in any one of claims 1 to 21.

23. A computer program stored in a computer-readable storage medium and executable by at least one processor of a motivational content providing system, which performs the motivational content providing method described in any one of claims 1 to 21.

24. A computer-readable storage medium recording a computer program for performing a method for providing motivational content as described in any one of paragraphs 1 to 21.

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