Electronic device and operating state prompting method for using light effect thereof

Abstract

The invention provides an electronic device and an operation state prompting method for using a light effect thereof. The method is suitable for an electronic device including a light emitting device and includes the following steps. Operation information associated with an artificial intelligence function is monitored. Judging whether the artificial intelligence function is enabled or not according to the operation information; in response to enabling of the artificial intelligence function, the light-emitting device is controlled to emit prompt light according to a specific light effect. Therefore, the transparency and the user experience of the operation of the artificial intelligence function can be greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to an electronic device, and in particular, to an electronic device and an operation state prompting method thereof using light effects. BACKGROUND

[0002] With the rapid development of artificial intelligence technology, consumer electronic devices have gradually integrated many artificial intelligence functions, making them not only traditional computing devices but also more like intelligent assistants. Artificial intelligence technology is widely and diversely applied, providing users with more convenience and functionality. For example, artificial intelligence technology enables consumer electronic devices to better understand and respond to user instructions and needs. Through natural language processing technology, consumer electronic devices can more accurately recognize voice commands or text input and perform corresponding operations according to user intent, thereby improving efficiency and convenience. Alternatively, by analyzing user operation habits and preferences, consumer electronic devices can automatically provide appropriate suggestions and recommendations to help users complete tasks or obtain required information more quickly. In summary, the application of artificial intelligence technology brings more intelligent functions and better user experience to consumer electronic devices. However, although artificial intelligence functions can be integrated into consumer electronic devices, the general public cannot be sure whether artificial intelligence functions are operating in the background, which can cause some operational confusion and a sense of opacity. SUMMARY

[0003] The present application relates to an electronic device and an operation state prompting method thereof using light effects, which can solve the above technical problems.

[0004] An operation state prompting method using light effects is provided, which is suitable for an electronic device including a light emitting device, and includes the following steps. Operation information associated with an artificial intelligence function is monitored. It is determined whether the artificial intelligence function is enabled according to the operation information. In response to the artificial intelligence function being enabled, the light emitting device is controlled to emit prompt light according to a specific light effect.

[0005] An electronic device is provided, which includes a light emitting device, a storage device, and a processor. The storage device records a plurality of instructions. The processor is coupled to the light emitting device and the storage device and is configured to execute the aforementioned instructions to perform the following operations. Operation information associated with an artificial intelligence function is monitored. It is determined whether the artificial intelligence function is enabled according to the operation information. In response to the artificial intelligence function being enabled, the light emitting device is controlled to emit prompt light according to a specific light effect.

[0006] Based on the above, in the embodiments of the present application, by monitoring the operation information associated with the artificial intelligence function, it can be judged whether the artificial intelligence function is enabled. When the artificial intelligence function is enabled, the light emitting device can emit prompt light with a specific light effect. Accordingly, the light emitting device can provide corresponding prompt light effect according to the application of the artificial intelligence function, so that the user can clearly understand whether the current operation uses the artificial intelligence function possessed by the electronic device, greatly improving the transparency and user experience of the operation of the artificial intelligence function. BRIEF DESCRIPTION OF DRAWINGS

[0007] Figure 1 is a block diagram of an electronic device according to an embodiment of the present application;

[0008] Figure 2 is a flowchart of an operation state prompting method using light effect according to an embodiment of the present application;

[0009] Figure 3 is a schematic diagram of a light emitting device integrated in a touch panel according to an embodiment of the present application;

[0010] Figure 4 is a schematic diagram of a touch chip driving a light emitting device according to an embodiment of the present application;

[0011] Figure 5 is a flowchart of judging whether an artificial intelligence function is enabled according to an embodiment of the present application;

[0012] Figure 6 is a schematic diagram of a system architecture of an electronic device according to an embodiment of the present application;

[0013] Figure 7 is a flowchart of an operation state prompting method using light effect according to an embodiment of the present application;

[0014] Figure 8 is a schematic diagram of a light effect setting interface according to an embodiment of the present application.

[0015] REFERENCE SIGNS

[0016] 100: electronic device;

[0017] 110: display;

[0018] 120: light emitting device;

[0019] 130: storage device;

[0020] 140: processor;

[0021] 150: network processor;

[0022] 160: specific hardware component;

[0023] 161: audio processor;

[0024] 162: visual sensor;

[0025] 163:TOF sensor;

[0026] 170: touch panel;

[0027] 41: touch chip;

[0028] 42: chipset;

[0029] 121-124: light emitting diodes;

[0030] GPIO1~GPIO4: general input / output signals;

[0031] LIP_CLOSE: cover closing signal;

[0032] I2C_DAT: serial data signal;

[0033] I2C_CLK: frequency signal;

[0034] I2C_INT: initialization signal;

[0035] s1: AI event management module;

[0036] ap1: specific application;

[0037] 81: Lighting effect setting interface;

[0038] BT1: Brightness adjustment bar;

[0039] C1: Lighting effect field;

[0040] L1: List of artificial intelligence functions;

[0041] C2: Specific lighting effect setting field;

[0042] P1: Lighting effect preview area;

[0043] S210~S230, S510~S550, S710~S770: steps. DETAILED DESCRIPTION

[0044] Reference will now be made in detail to exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Whenever possible, the same reference numerals are used in the drawings and the description to refer to the same or like parts.

[0045] Figure 1 is a block diagram of an electronic device according to an embodiment of the present invention. Figure 1The electronic device 100 includes a display 110, a light emitting device 120, a storage device 130, a processor 140, a network processing unit (NPU) 150, and specific hardware components 160. The electronic device 100 is, for example, a smartphone, a tablet computer, a laptop computer, or an all-in-one computer, etc., and the present invention is not limited thereto.

[0046] The display 110 may be, for example, a liquid crystal display (LCD), a light-emitting diode (LED), an organic light-emitting diode (OLED), or other types of displays, which are not limited in the present invention. The display 110 may be used to display a user interface.

[0047] The lighting device 120 includes multiple light-emitting diodes (LEDs) capable of emitting various different lighting effects. These LEDs may include multi-color (RGB) LEDs, single-color LEDs, or a combination thereof. In some embodiments, the lighting device 120 may be built into or externally connected to the electronic device 100, although this is not a limitation of the present invention. Alternatively, in some embodiments, the lighting device 120 may be integrated into a peripheral device or internal component of the electronic device 100, such as an illuminated fan, an illuminated memory module, an illuminated touchpad, or an illuminated keyboard.

[0048] The Network Processing Unit (NPU) 150 is a hardware accelerator specifically designed to handle artificial intelligence (AI) workloads and is used to perform neural network calculations. The NPU 150 can accelerate the inference operations of machine learning and deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), recurrent neural networks (RNNs), or transformers. The NPU 150 has a large number of low-power processing cores, enabling efficient and low-power neural network calculations.

[0049] Specific hardware component 160 is a hardware component that can be applied to or provide artificial intelligence functions, and may include a sensor or a specific function integrated circuit. In some embodiments, specific hardware component 160 may be a sensor or an audio processing circuit. For example, specific hardware component 160 may be a vision sensor or a Time of Flight (TOF) sensor, but is not limited thereto. In some embodiments, the underlying firmware code embedded in specific hardware component 160 may provide artificial intelligence functions.

[0050] The storage device 130 is used to store data and software modules (such as operating system, application program, driver) accessed by the processor 140, which can be, for example, any type of fixed or removable random access memory (RAM), read-only memory (ROM), flash memory, hard disk, or a combination thereof.

[0051] The processor 140 is coupled to the display 110, the light-emitting device 120, the storage device 130, the network processor 150, and the specific hardware components 160, and can be a general purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in combination with a digit signal processor core, a controller, a microcontroller, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), any other kind of integrated circuit, a state machine, an advanced RISC machine (ARM) based processor, and the like. The processor 140 can access and execute instructions or program codes recorded in the storage device 130 to implement the method of operation state prompting using light effects in the embodiments of the present application.

[0052] Figure 2 is a flowchart of the method of operation state prompting using light effects according to an embodiment of the present application, and Figure 2 The method flow of Figure 1 can be implemented by each component of the electronic device 100 of Figure 1 and Figure 2 The steps of the method of operation state prompting using light effects in the embodiments of the present application will be described below in combination with each component of the electronic device 100 in Figure 1

[0053] ​In step S210, processor 140 monitors operational information associated with an artificial intelligence function. Here, an artificial intelligence function is a function implemented using a neural network model or a machine learning model. For example, the artificial intelligence function may include an audio noise reduction function using a neural network model or a machine learning model, a video image optimization function using a neural network model or a machine learning model, an image generation function or a content generation function using a large language model, an information search function using a large language model, or a human presence detection function using a neural network model or a machine learning model.

[0054] In some embodiments, the processor 140 may monitor the operating status of certain applications to obtain operating information related to an artificial intelligence function. In some embodiments, the processor 140 may monitor the operating status of the network processor 150 to obtain operating information related to an artificial intelligence function. In some embodiments, the processor 140 may monitor the operating status of a specific hardware component 160 to obtain operating information related to an artificial intelligence function.

[0055] In step S220, the processor 140 determines whether the artificial intelligence function is enabled based on the operation information. In detail, the processor 140 can determine whether the artificial intelligence function is in operation based on the monitored operation information. That is, the processor 140 can determine whether the electronic device 100 has driven a machine learning model or a neural network model stored locally or in the cloud to provide model output data based on the monitored operation information. If the judgment in step S220 is yes, in step S230, in response to the artificial intelligence function being enabled, the processor 140 controls the light-emitting device 120 to emit a prompt light according to a specific lighting effect. In this way, the user can observe the prompt light emitted by the light-emitting device 120 and know that the artificial intelligence function of the electronic device 100 is in operation.

[0056] Therefore, users no longer need to be confused about whether the AI ​​function is being used in their current operational context, effectively enhancing transparency and trust in the use of AI functions. Furthermore, since AI functions may involve processing user privacy data, the prompt light emitted by the light-emitting device 120 can inform users that their privacy data may be stored or leaked due to the operation of the AI ​​function. Furthermore, the prompt light emitted by the light-emitting device 120 can also allow device developers or maintenance personnel to confirm whether the AI ​​function is functioning properly, thereby accelerating troubleshooting.

[0057] Figure 3 This is a schematic diagram of a light emitting device integrated into a touch panel according to an embodiment of the present invention. Figure 3In some embodiments, the light emitting device 120 can be integrated with the touchpad 170 of the electronic device 100. The light emitting device 120 disposed under the touchpad 170 can emit light that can pass through the light transparent pattern on the touchpad 170 to present a patterned light. In Figure 3 the example, the light transparent pattern on the touchpad 170 can be, for example, a plurality of petal shapes. When the artificial intelligence function on the electronic device 100 is enabled, the light emitting device 120 can emit light so that the user can observe the patterned light.

[0058] Figure 4 is a schematic diagram of a touch chip driving a light emitting device according to an embodiment of the present application. Please refer to Figure 4 In some embodiments, the driving of the light emitting device 120 can be taken care of by the touch chip 41. For example, in the embodiment where the light emitting device 120 is integrated with the touchpad 170 of the electronic device 100, the driving of the light emitting device 120 can be taken care of by the touch chip 41. As shown in Figure 4 The electronic device 100 can further include a touch chip 41 and a chipset 42. The chipset 42 is, for example, a platform controller hub (PCH).

[0059] The chipset 42 is connected between the processor 140 and the touch chip 41. The chipset 42 can be connected to the touch chip 41 via an I2C interface, i.e. the touch chip 41 is communicated with using the serial data signal I2C_DAT and the frequency signal I2C_CLK of the I2C interface. In addition, the chipset 42 can initialize the I2C interface via the initialization signal I2C_INT.

[0060] In the present embodiment, the chipset 42 can further provide a lid signal LIP_CLOSE to the touch chip 41 to inform the touch chip 41 whether the laptop is in a closed state or an open state. When the touch chip 41 receives the lid signal LIP_CLOSE with a specific level, the touch chip 41 can disable the light emitting device 120 from emitting light to save power.

[0061] In this embodiment, the touch chip 41 is connected to the light emitting device 120, and the light emitting device 120 can include a plurality of light emitting diodes 121-124. However, the present application is not limited to the number of light emitting diodes. The touch chip 41 can control the light emitting diodes 121-124 through general-purpose input / output signals GPIO1-GPIO4. In some embodiments, the touch chip 41 can emulate the general-purpose input / output signals GPIO1-GPIO4 as pulse width modulation (PWM) signals to control the brightness and light emitting frequency of the light emitting diodes 121-124 using the PWM signals. That is, when the processor 140 determines that the artificial intelligence function is enabled, the processor 140 can control the light emitting diodes 121-124 to emit light according to a specific light effect through the chipset 42 and the touch chip 41.

[0062] In some embodiments, in response to the enabling of the artificial intelligence function belonging to the first category, the processor 140 controls the light emitting device 120 to emit prompt light according to a first specific light effect. In response to the enabling of the artificial intelligence function belonging to the second category, the processor 140 controls the light emitting device 120 to emit prompt light according to a second specific light effect. The first specific light effect is different from the second specific light effect. For example, when the content generation function (e.g., Copilot) using a large language model is enabled, the light emitting device 120 can emit prompt light according to the first specific light effect. When the human presence detection function using a neural network model is enabled, the light emitting device 120 can emit prompt light according to the second specific light effect.

[0063] Further, the processor 140 can control the light emitting device 120 to present a corresponding specific light effect according to the category of the running artificial intelligence function. In some embodiments, the processor 140 can determine a corresponding light effect profile according to the category of the running artificial intelligence function. The light effect profile includes a plurality of light emitting parameters used to define a specific light effect, which can be used to determine the light effect exhibited by the light emitting device 120. The light effect profile can include brightness parameters, light emitting frequency parameters, or other light emitting control parameters of the light emitting diodes on the light emitting device 120. The processor 140 controls the light emitting device 120 to generate prompt light according to the light effect profile. Specifically, the processor 140 can control the light emitting mode of the light emitting diodes of the light emitting device 120 according to the plurality of parameters in the light effect profile, so that the light emitting device 120 exhibits a specific light effect corresponding to this light effect profile.

[0064] In some embodiments, the artificial intelligence function can be classified into one of the first category and the second category based on whether the network processor 150 is applied. That is, when the network processor 150 performs neural network computation, the light-emitting device 120 can emit prompt light according to the first specific light effect. When a certain artificial intelligence function is enabled but the network processor 150 does not perform neural network computation, the light-emitting device 120 can emit prompt light according to the second specific light effect. In this way, the user or the device developer can confirm whether the network processor 150 is operating normally according to the light-emitting device 120. In addition, in some embodiments, when the artificial intelligence function used by the user changes, the light effect displayed by the light-emitting device 120 will also be automatically converted accordingly.

[0065] Figure 5 is a flowchart of judging whether an artificial intelligence function is enabled according to an embodiment of the present application. Please refer to Figure 5 , in some embodiments, Figure 2 The step S220 shown can be implemented as the steps S510 to S550. In addition, in order to clearly illustrate the principle of the present embodiment, the following will be further described Figure 6 together with Figure 6 is a schematic diagram of the system architecture of an electronic device according to an embodiment of the present application. In Figure 6 the embodiment, the processor 140 can execute an AI event management module s1 to monitor operation information associated with the artificial intelligence function, and control the light-emitting device 120 accordingly. In some embodiments, the AI event management module s1 can be implemented as a background service program executed in the operating system.

[0066] In step S510, the processor 140 determines whether the network processor 150 performs neural network computation according to the operation information associated with the network processor 150. If step S510 determines yes, in step S520, in response to determining that the network processor 150 performs neural network computation, the processor 140 determines that the artificial intelligence function is enabled.

[0067] In particular, the AI event management module s1 can communicate with the network processor 150 through an application programming interface (API). The network processor 150 can report back to the AI event management module s1 through the API at a regular or irregular interval to indicate the amount of computational load of the network processor 150. Based on the amount of computational load reported back by the network processor 150, the AI event management module s1 executed by the processor 140 can determine whether the network processor 150 is performing neural network computation or is in an idle state. When the amount of computational load reported back by the network processor 150 is greater than a threshold, the processor 140 can determine that the network processor 150 is performing neural network computation. Conversely, when the amount of computational load reported back by the network processor 150 is not greater than the threshold, the processor 140 can determine that the network processor 150 is in an idle state. However, when the network processor 150 is performing neural network computation, it means that a certain artificial intelligence function is in operation.

[0068] At step S530, the processor 140 determines whether the specific application apl is enabled based on the operation information associated with the specific application apl. If the determination at step S530 is YES, the processor 140 determines that the artificial intelligence function is enabled at step S520 in response to the determination that the specific application apl is enabled.

[0069] In some embodiments, the specific application apl with the artificial intelligence function can send an operating system (OS) notification to the AI event management module s1 to indicate whether the artificial intelligence function of the specific application apl is enabled. For example, the specific application apl can be a word processing application, and the word processing application can provide a content generation function. When a user uses the content generation function of the word processing application, the word processing application sends an OS notification to the AI event management module s1. Accordingly, the AI event management module s1 can determine that the artificial intelligence function is enabled based on the OS notification sent by the specific application apl.

[0070] Alternatively, in other embodiments, when a specific application that provides a certain artificial intelligence function is enabled, the processor 140 can determine that the artificial intelligence function is enabled. In detail, the processor 140 can obtain at least one application that is currently running through a task manager of an operating system, and determine whether the at least one application that is currently running includes the specific application. If the specific application is included, it means that the artificial intelligence function provided by the specific application is enabled.

[0071] In step S540, the processor 140 determines whether the specific hardware component 160 is executing the artificial intelligence function based on the operating information associated with the specific hardware component 160. If the determination in step S540 is yes, in step S520, in response to determining that the specific hardware component 160 is executing the artificial intelligence function, the processor 140 determines that the artificial intelligence function is enabled.

[0072] In some embodiments, the underlying firmware code of a specific hardware component 160 may provide artificial intelligence functionality. In some embodiments, the specific hardware component 160 may be used to provide sensory data for the artificial intelligence functionality. Therefore, the specific hardware component 160 may transmit a Human Interface Device (HID) report to the AI ​​event management module s1 via the HID protocol to notify the AI ​​event management module s1 that the specific hardware component 160 is executing the artificial intelligence functionality.

[0073] like Figure 6 As shown, in this embodiment, the specific hardware component 160 may include an audio processor 161, a visual sensor 162, and a TOF sensor 163. When the audio processor 161 is executing a noise reduction function or other audio optimization function using a neural network model, the audio processor 161 may send a HID report to the AI ​​event management module s1, so that the AI ​​event management module s1 can know that the audio processor 161 is executing an artificial intelligence function. When the visual sensor 162 is executing an image processing function or an object recognition function using a neural network model, the visual sensor 162 may send a HID report to the AI ​​event management module s1, so that the AI ​​event management module s1 can know that the visual sensor 162 is executing an artificial intelligence function. When the ToF sensor 163 is used for an object detection function using a neural network model, the ToF sensor 163 may send a HID report to the AI ​​event management module s1, so that the AI ​​event management module s1 can know that the ToF sensor 163 is executing an artificial intelligence function.

[0074] In some embodiments, when the AI ​​event management module s1 determines that the artificial intelligence function is enabled according to step S510, step S530, or step S540, the processor 140 may execute the AI ​​event management module s1 to control the lighting device 120. Specifically, the AI ​​event management module s1 may control the lighting device 120 to generate patterned warning light by issuing an HID report.

[0075] In some embodiments, the light emitting device 120 can support the Microsoft Corporation published HID specification's Lighting and Illumination standard, such that the operating system executing in the operating system can directly control the light emitting diodes of the light emitting device 120. Based on the HID specification's Lighting and Illumination standard, each light emitting diode of the light emitting device 120 can be mapped to a logical position according to the length, width and height of the light emitting device 120, and the logical position can be used as the identification feature of the light emitting diode. Based on the fact that the program module in the operating system can directly control the light emitting diodes of the light emitting device 120, the light effect control of the light emitting device 120 can be performed by the service program (i.e., the AI event management module s1) executing in the user mode. Alternatively, in some embodiments, the AI event management module s1 can issue a custom HID report according to the HID protocol to control the light emitting device 120.

[0076] If the step S540 determines no, in step S550, the processor 140 determines that the artificial intelligence function is not enabled. In this case, when it is determined that the artificial intelligence function is not enabled, the processor 140 can control the light emitting device 120 to not issue the prompt light. Based on this, the user can also know that there is currently no artificial intelligence function service.

[0077] Figure 7 is a flowchart of the method for prompting the operation state using the light effect according to an embodiment of the present application, and Figure 7 The method flow of Figure 1 may be implemented by the components of the electronic device 100. Please refer to Figure 1 and Figure 7 , the steps of the method for prompting the operation state using the light effect according to the present embodiment will be described below in combination with the components of the electronic device 100. Figure 1

[0078] In step S710, the processor 140 displays a light effect setting interface by using the display 110. The light effect setting interface can provide an intuitive and easy-to-operate graphical interface, so that the user can define the specific light effect of the artificial intelligence function by himself / herself.

[0079] In step S720, the processor 140 provides an artificial intelligence function list through the light effect setting interface. The artificial intelligence function list includes a plurality of candidate artificial intelligence functions. Specifically, the processor 140 can list all the artificial intelligence functions (i.e., candidate artificial intelligence functions) supported by the electronic device 100 through the artificial intelligence function list. In some embodiments, when the electronic device 100 has new artificial intelligence functions due to software installation or software / firmware update, the artificial intelligence function list can also list the new artificial intelligence functions for the user to select. ​

[0080] At step S730, the processor 140 identifies one of the plurality of candidate artificial intelligence functions as the artificial intelligence function associated with the specific light effect according to the user input received via the light effect setting interface. That is, the user can decide which artificial intelligence functions the light emitting device 120 is to react to and emit light according to the user's preference and needs. More specifically, the processor 140 can select the artificial intelligence function corresponding to the specific light effect from the list of artificial intelligence functions according to the user input. For example, according to the user input, the processor 140 can control the light emitting device 120 to emit light in reaction to the enabling of the first artificial intelligence function but not the second artificial intelligence function.

[0081] In some embodiments, the processor 140 further determines whether the enabled artificial intelligence function is the artificial intelligence function corresponding to the specific light effect. The processor 140 controls the light emitting device 120 to emit light only when the enabled artificial intelligence function is the artificial intelligence function corresponding to the specific light effect. Otherwise, the processor 140 controls the light emitting device 120 not to emit light when the enabled artificial intelligence function is not the artificial intelligence function corresponding to the specific light effect.

[0082] At step S740, the processor 140 determines the light effect content of the specific light effect of the artificial intelligence function according to another user input received via the light effect setting interface. That is, the light effect content of the specific light effect can also be customized by the user.

[0083] For example, Figure 8 is a schematic diagram of a light effect setting interface according to an embodiment of the present application. Please refer to Figure 8 The display 110 can display a light effect setting interface 81. The light effect setting interface 81 includes a list of artificial intelligence functions L1. According to a selection operation performed on the list of artificial intelligence functions L1, the processor 140 can identify a certain candidate artificial intelligence function as the artificial intelligence function that needs to emit prompt light and add the selected artificial intelligence function to a certain light effect configuration group. The user can set the corresponding specific light effect for each light effect configuration group.

[0084] As Figure 8As shown, the user can set the light brightness of the light-emitting device 120 by dragging the cursor on the brightness adjustment bar BT1 in the light effect setting interface 81. That is, in response to the user input applied to the brightness adjustment bar BT1, the processor 140 can set the light brightness corresponding to at least one artificial intelligence function in a certain light effect configuration group. In addition, the user can select a target light effect from among a plurality of preset light effects in the light effect field C1 in the light effect setting interface 81. That is, in response to the user input applied to the light effect field C1, the processor 140 can set a specific light effect corresponding to at least one artificial intelligence function in a certain light effect configuration group. In addition, the user can set the light effect parameters of the selected specific light effect in the specific light effect setting field C2 of the light effect setting interface 81. That is, in response to the user input applied to the specific light effect setting field C2, the processor 140 can set the light effect characteristics corresponding to one or more artificial intelligence functions. For example, when the user selects a rotating light effect in the light effect field C1, the user can further set the rotating speed of the rotating light effect or the number of LEDs participating in light emission in the specific light effect setting field C2. In addition, the light effect setting interface 81 can further include a light effect preview area P1, which can provide a light effect preview function according to the user settings, so that the user can preview whether the specific light effect set by the user is satisfactory.

[0085] Subsequently, at step S750, the processor 140 monitors the operation information associated with the artificial intelligence function. At step S760, the processor 140 determines whether the artificial intelligence function is enabled according to the operation information. At step S770, in response to the artificial intelligence function being enabled, the processor 140 controls the light-emitting device 120 to emit the prompt light according to a specific light effect. The detailed implementation details of steps S750 to S770 can be referred to the foregoing embodiment description, which will not be described herein.

[0086] In summary, in the embodiments of the present application, by monitoring the operation information associated with the artificial intelligence function, it can be determined whether the artificial intelligence function is enabled. When the artificial intelligence function is enabled, the light-emitting device can emit the prompt light with a specific light effect. Accordingly, the light-emitting device can provide the corresponding prompt light effect according to the application of the artificial intelligence function, so that the user can clearly understand whether the current operation uses the artificial intelligence function possessed by the electronic device, greatly improving the transparency and user experience of the operation of the artificial intelligence function. In addition, the light effect of the light-emitting device can meet the individual needs of the user, providing the user with a unique light visual experience.

[0087] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions recorded in the above embodiments can be modified, or some or all of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of prompting an operation state using a light effect, suitable for an electronic device including a light emitting device, characterized by, The method comprises: monitoring operation information associated with an artificial intelligence function; determining whether the artificial intelligence function is enabled according to the operation information; and in response to the artificial intelligence function being enabled, controlling the light emitting device to emit prompt light according to a specific light effect. The electronic device comprises a network processor, and the step of determining whether the artificial intelligence function is enabled according to the operation information comprises:

2. The operation state prompting method using a lamp effect according to claim 1, characterized by determining whether the network processor performs neural network calculation according to the operation information associated with the network processor; and in response to determining that the network processor performs neural network calculation, determining that the artificial intelligence function is enabled. The step of determining whether the artificial intelligence function is enabled according to the operation information comprises:

3. The operation state prompting method using a lamp effect according to claim 1, characterized by determining whether a specific application is enabled according to the operation information associated with the specific application; and in response to determining that the specific application is enabled, determining that the artificial intelligence function is enabled. The step of determining whether the artificial intelligence function is enabled according to the operation information comprises:

4. The operation state prompting method using a lamp effect according to claim 1, characterized by determining whether a specific hardware component performs the artificial intelligence function according to the operation information associated with the specific hardware component; and in response to determining that the specific hardware component performs the artificial intelligence function, determining that the artificial intelligence function is enabled. The specific hardware component comprises a sensor or an audio processor.

5. The method of claim 4, wherein the operation state prompting method using a light effect is characterized by, The step of controlling the light emitting device to emit prompt light according to the specific light effect in response to the artificial intelligence function being enabled comprises:

6. The operation state prompting method using a lamp effect according to claim 1, wherein in response to the artificial intelligence function belonging to a first category being enabled, controlling the light emitting device to emit prompt light according to a first specific light effect; and in response to the artificial intelligence function belonging to a second category being enabled, controlling the light emitting device to emit prompt light according to a second specific light effect, wherein the first specific light effect is different from the second specific light effect. The artificial intelligence function is classified into one of the first category and the second category based on whether a network processor is applied.

7. The method of claim 6, wherein the operation state prompting method using a light effect is characterized by, The method further comprises:

8. The operation state prompting method using a lamp effect according to claim 1, characterized by, displaying a light effect setting interface; providing an artificial intelligence function list through the light effect setting interface, wherein the artificial intelligence function list comprises a plurality of candidate artificial intelligence functions; and identifying one of the plurality of candidate artificial intelligence functions as the artificial intelligence function associated with the specific light effect according to user input received through the light effect setting interface. The method further comprises: determining light effect content of the specific light effect of the artificial intelligence function according to another user input received through the light effect setting interface.

9. The method of claim 8, wherein the operation state prompting method using a light effect is characterized by, The light emitting device comprises a plurality of light emitting diodes. The method comprises:

10. The method of claim 1, wherein the operation state prompting method using a light effect is characterized by, a light emitting device; 11. An electronic device, comprising: a storage device storing a plurality of instructions; and a processor coupled to the storage device and configured to: monitor operation information associated with an artificial intelligence function; determine whether the artificial intelligence function is enabled according to the operation information; and in response to the artificial intelligence function being enabled, control the light emitting device to emit prompt light according to a specific light effect. ​ ​ ​

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