System

Abstract

An object of a system according to an embodiment is to enable even a user who is not good at operating a smartphone to intuitively understand an operation method.SOLUTION: A system according to an embodiment includes an operation assist unit, a tap instruction unit, and a message reading unit. The operation assisting unit analyzes the user's question. A tap instruction part instructs a place to be tapped on the screen on the basis of the result analyzed by the operation assist part. The message reading unit reads a message displayed when the location instructed by the tap instruction unit is tapped, and explains the meaning of the message.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional technology has had the problem of making it difficult for users who are not good at operating smartphones to intuitively understand how to operate them.

[0005] The system according to the embodiment aims to enable even users who are not good at operating smartphones to intuitively understand how to operate them. [Means for solving the problem]

[0006] The system according to the embodiment includes an operation assist unit, a tap instruction unit, and a message readout unit. The operation assist unit analyzes a user's question. The tap instruction unit instructs the user on where to tap on the screen based on the analysis results by the operation assist unit. The message readout unit reads out a message that is displayed when the user taps the location instructed by the tap instruction unit, and explains its meaning. [Effects of the Invention]

[0007] The system according to the embodiment allows even users who are not good at operating smartphones to intuitively understand how to operate them. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The operation assist system according to an embodiment of the present invention is a system in which AI residing in a smartphone assists the user in operating the smartphone. When the user asks the smartphone a question, the AI ​​instructs the user on where to tap on the screen and reads out displayed messages and explains their meaning. This allows the operation assist system to allow the user to operate the smartphone and apps without hesitation.

[0029] An operation assist system according to an embodiment includes an operation assist unit, a tap instruction unit, and a message reading unit. The operation assist unit analyzes a user's question. For example, when a user asks, "How do I send a photo?", the operation assist unit analyzes the question and instructs the user on an appropriate operation method. Furthermore, when a user asks, "Where do I tap to open Settings?", the operation assist unit can analyze the question and instruct the user on an appropriate tap location. Furthermore, when a user sees a message saying, "An update is required," the operation assist unit can explain the meaning of the message. The tap instruction unit instructs the user on a location to tap on the screen based on the results of the analysis by the operation assist unit. For example, when a user asks, "Where do I tap to open Settings?", the tap instruction unit instructs the user to tap the gear icon at the bottom of the screen. Furthermore, when a user asks, "How do I send a photo?", the tap instruction unit can instruct the user to open a photo app, select a photo to send, and tap the share button at the top right of the screen. Furthermore, when the user asks, "How do I send an email?", the tap instruction unit can instruct the user to open an email app and tap the new compose button. The message reading unit reads out a message that appears when the user taps the location instructed by the tap instruction unit, and explains its meaning. For example, when the message "Update Required" appears, the message reading unit can read out the message and explain, "This message tells you that a new version of the app is available. To update, tap the 'Update' button at the bottom right of the screen." When the message "An error has occurred" appears, the message reading unit can read out the message and explain, "This message tells you that a problem occurred with the operation of the app. To try again, tap the 'Retry' button in the center of the screen."Furthermore, when a message such as "Settings Completed" is displayed, the message reading unit can read the message out loud and explain, "This message notifies you that the settings have been successfully completed." This allows the operation assist system according to the embodiment to allow the user to operate the smartphone or app without hesitation. For example, when the user sends a photo, the operation assist system instructs the user on specific operation steps, allowing the user to proceed with the operation without hesitation. Furthermore, when the user changes settings, the operation assist system instructs the user on the appropriate tap location, allowing the user to change the settings without hesitation. Furthermore, when the user receives an error message, the operation assist system can explain the meaning of the message and instruct the user on the appropriate solution.

[0030] The operation assist unit can predict the next operation to be performed based on the user's past operation history and provide proactive assistance. For example, the operation assist unit records operations that the user frequently performed in the past and analyzes those patterns. For example, if a user has the habit of checking email every morning, the operation assist unit can suggest automatically opening an email app in the morning. The operation assist unit can also record apps that the user frequently used in the past and predict the next operation to be performed based on the frequency of use of those apps. For example, the operation assist unit can suggest opening a social networking app that the user frequently uses. The operation assist unit can also predict the next operation to be performed based on the user's past operation history and provide proactive assistance. For example, the operation assist unit can analyze the user's past operation history, predict the next operation to be performed based on the pattern, and instruct the user on an appropriate operation method. This predicts the user's operation and provides proactive assistance, thereby improving operation efficiency.

[0031] The operation assist unit is also compatible with devices other than smartphones and can provide similar operation assistance. For example, to support devices other than smartphones, the operation assist unit installs an AI assistant on a tablet or smartwatch and provides similar operation assistance. For example, when a user asks how to operate a tablet, the AI ​​provides specific instructions. The operation assist unit is also compatible with devices other than smartphones and can provide similar operation assistance. For example, when a user asks how to operate a tablet, the AI ​​provides specific instructions. The operation assist unit is also compatible with devices other than smartphones and can provide similar operation assistance. For example, when a user asks how to operate a tablet or smartwatch, the AI ​​provides specific instructions. This makes it compatible with devices other than smartphones, improving user convenience.

[0032] The operation assist unit can support different languages ​​and dialects and provide assistance in the user's native language. For example, the operation assist unit can equip the AI ​​assistant with a multilingual support function and provide operation assistance in the user's native language. For example, it can support multiple languages ​​such as English, Spanish, and Chinese. The operation assist unit can also support dialects and provide operation assistance tailored to the user's region. For example, it can support regional dialects such as Kansai dialect and Tohoku dialect. The operation assist unit can also support different languages ​​and dialects and provide operation assistance in the user's native language. For example, it can provide operation assistance in an appropriate language or dialect based on the language and regional information set by the user. This allows the user to receive operation assistance in their native language by supporting different languages ​​and dialects.

[0033] The tap instruction unit can track the user's gaze and highlight the tap point at the gaze point. To track the user's gaze, the tap instruction unit, for example, uses a smartphone camera to analyze gaze movement and highlight the tap point at the gaze point. For example, if the gaze is directed at a specific icon, the icon is highlighted. The tap instruction unit can also analyze gaze movement in real time and highlight the tap point at the gaze point. For example, if the gaze is directed at a specific button, the button is highlighted. The tap instruction unit can also track the user's gaze and highlight the tap point at the gaze point. For example, if the gaze is directed at a specific link, the link is highlighted. In this way, by tracking the user's gaze and highlighting the tap point, the accuracy of operation is improved.

[0034] The tap instruction unit can use 3D animation to indicate the location to tap, making it easier to understand visually. For example, the tap instruction unit displays an animation on the smartphone screen to indicate the location to tap using 3D animation, visually indicating the location where the user should tap. For example, the tap point is indicated using an arrow or hand icon. The tap instruction unit can also use 3D animation to make the location to tap easier to understand visually. For example, it displays an animation that makes the tap point appear to float. The tap instruction unit can also use 3D animation to make the location to tap easier to understand visually. For example, it displays an animation that makes the tap point appear to rotate. In this way, using 3D animation makes it easier for the user to visually understand the location to tap.

[0035] The tap instruction unit can indicate the location to tap using haptic feedback (vibration). The tap instruction unit, for example, uses the smartphone's vibration function to indicate the location to tap using haptic feedback. For example, the vibration becomes stronger as the user approaches the tap point. The tap instruction unit can also change the vibration pattern to indicate the location to tap using haptic feedback. For example, the interval between vibrations becomes shorter as the user approaches the tap point. The tap instruction unit can also change the intensity of the vibration to indicate the location to tap using haptic feedback. For example, the vibration becomes stronger as the user approaches the tap point. In this way, using haptic feedback makes it easier for the user to intuitively understand where to tap.

[0036] The tap instruction unit can update the tap location in real time in accordance with the movement of the user's hand. The tap instruction unit, for example, builds a system that tracks the movement of the user's hand in real time and updates the tap location in accordance with the movement. For example, when the hand approaches a specific area, the area is displayed as a tap point. The tap instruction unit can also analyze the movement of the user's hand in real time and update the tap location in accordance with the movement. For example, when the hand approaches a specific button, the button is displayed as a tap point. The tap instruction unit can also track the movement of the user's hand in real time and update the tap location in accordance with the movement. For example, when the hand approaches a specific link, the link is displayed as a tap point. In this way, the tap location is updated in real time in accordance with the movement of the user's hand, thereby improving the smoothness of operation.

[0037] The message reading unit can automatically adjust the message reading speed and tone according to the user's level of comprehension. The message reading unit, for example, analyzes the user's level of comprehension and builds a system that automatically adjusts the message reading speed based on the result. For example, if the level of comprehension is high, the message is read at a fast speed, and if the level of comprehension is low, the message is read at a slower speed. The message reading unit can also adjust the reading tone based on the user's level of comprehension. For example, if the level of comprehension is high, the message is read at a concise tone, and if the level of comprehension is low, the message is read at a polite tone. The message reading unit can also automatically adjust the reading speed and tone based on the user's level of comprehension. For example, if the level of comprehension is high, the message is read at a fast speed and concisely, and if the level of comprehension is low, the message is read at a slower and more polite tone. In this way, automatically adjusting the message reading speed and tone according to the user's level of comprehension makes it easier to understand the message.

[0038] The message reading unit can customize the content of the message based on the user's past operation history and interests. The message reading unit, for example, analyzes the user's past operation history and builds a system that customizes the content of the message based on the analysis. For example, messages related to functions that have been frequently used in the past are preferentially displayed. The message reading unit can also customize the content of the message based on the user's interests. For example, messages related to topics in which the user is interested are displayed. The message reading unit can also customize the content of the message based on the user's past operation history and interests. For example, messages related to apps that have been frequently used in the past are displayed. In this way, by customizing the content of the message based on the user's past operation history and interests, more useful information can be provided to the user.

[0039] The message reading unit can read messages in the voices of different voice actors or characters to suit the user's preferences. For example, in order to read messages in the voices of different voice actors, the message reading unit can prepare audio data of multiple voice actors and allow the user to select from them. For example, the voices of male and female voice actors can be selected. The message reading unit can also read messages in the voices of different characters. For example, the voices of anime characters or game characters can be selected. The message reading unit can also read messages in the voices of different voice actors or characters to suit the user's preferences. For example, the user can select the voice of their favorite voice actor or character and read messages in that voice. This allows assistance to be tailored to the user's preferences by reading messages in the voices of different voice actors or characters.

[0040] The message reading unit can visually explain the contents of the message using visual effects and animation. For example, the message reading unit prepares animations and graphics to visually explain the contents of the message using visual effects, and displays them in a way that is easy for the user to understand. For example, it shows operation procedures using animation. The message reading unit can also visually explain the contents of the message using animation. For example, it displays animations that show operation procedures step by step. The message reading unit can also visually explain the contents of the message using visual effects and animation. For example, it shows operation procedures using graphics. In this way, the use of visual effects and animation makes it easier for the user to visually understand the contents of the message.

[0041] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0042] The operation assist unit can predict the next operation to be performed based on the user's operation history and provide proactive assistance. For example, it can record operations that the user has frequently performed in the past and analyze those patterns. If the user has the habit of checking email every morning, the operation assist unit can suggest automatically opening the email app in the morning. It can also record apps that the user has frequently used in the past and predict the next operation to be performed based on how often the app is used. For example, it can suggest opening a social media app that the user frequently uses. Furthermore, it can predict the next operation to be performed based on the user's operation history and provide proactive assistance. This improves operation efficiency by predicting user operations and providing proactive assistance.

[0043] The operation assistance unit is also compatible with devices other than smartphones and can provide similar operation assistance. For example, an AI assistant can be installed on a tablet or smartwatch to provide similar operation assistance. When asked how to operate a tablet, the AI ​​will provide specific instructions. Also, when asked how to operate a smartwatch, the AI ​​can provide specific instructions. Furthermore, it is also possible to support devices other than smartphones and provide similar operation assistance. This improves user convenience by supporting devices other than smartphones.

[0044] The operation assistance unit can support different languages ​​and dialects and provide assistance in the user's native language. For example, the AI ​​assistant can be equipped with a multilingual function to provide operation assistance in the user's native language. It can support multiple languages, such as English, Spanish, and Chinese. It can also support dialects and provide operation assistance tailored to the user's region. It can support regional dialects, such as Kansai dialect and Tohoku dialect. Furthermore, it can support different languages ​​and dialects and provide operation assistance in the user's native language. This allows the user to receive operation assistance in their native language by supporting different languages ​​and dialects.

[0045] The tap instruction unit can track the user's gaze and highlight the tap point at the destination of the gaze. For example, it can use the smartphone's camera to analyze gaze movement and highlight the tap point at the destination of the gaze. If the gaze is directed at a specific icon, the icon is highlighted. It can also analyze gaze movement in real time and highlight the tap point at the destination of the gaze. If the gaze is directed at a specific button, the button is highlighted. Furthermore, if the gaze is directed at a specific link, the link can be highlighted. In this way, by tracking the user's gaze and highlighting the tap point, the accuracy of operation is improved.

[0046] The tap instruction unit can use 3D animation to indicate where to tap, making it easier to understand visually. For example, an animation can be displayed on the smartphone screen to visually indicate where the user should tap. The tap point can be indicated using an arrow or hand icon. 3D animation can also be used to make it easier to understand visually where to tap. An animation can be displayed that makes the tap point appear to float. Furthermore, an animation can be displayed that makes the tap point rotate. In this way, using 3D animation makes it easier for the user to visually understand where to tap.

[0047] The tap instruction unit can use haptic feedback (vibration) to indicate where to tap. For example, by using the smartphone's vibration function, the vibration becomes stronger as the user approaches the tap point. In addition, the vibration pattern can be changed to indicate where to tap using haptic feedback. The interval between vibrations becomes shorter as the user approaches the tap point. Furthermore, the strength of the vibration can also be changed. The vibration becomes stronger as the user approaches the tap point. In this way, using haptic feedback makes it easier for the user to intuitively understand where to tap.

[0048] The processing flow of the first embodiment will be briefly explained below.

[0049] Step 1: The operation assistance unit analyzes the user's question. For example, if the user asks, "How do I send a photo?", the operation assistance unit analyzes the question and provides instructions on the appropriate operation method. Also, if the user asks, "Where should I tap to open Settings?", the operation assistance unit can analyze the question and provide instructions on the appropriate place to tap. Furthermore, if the user sees a message that says, "An update is required," the operation assistance unit can explain the meaning of the message. Step 2: The tap instruction unit instructs the user on where to tap on the screen based on the results of analysis by the operation assistance unit. For example, if the user asks, "Where do I tap to open Settings?", the tap instruction unit instructs the user to tap the gear icon at the bottom of the screen. If the user asks, "How do I send a photo?", the tap instruction unit can instruct the user to open the Photos app, select the photo they want to send, and tap the Share button at the top right of the screen. If the user asks, "How do I send an email?", the tap instruction unit can instruct the user to open the Mail app and tap the Compose button. Step 3: The message reading unit reads out the message that appears when the user taps the location indicated by the tap instruction unit, and explains its meaning. For example, if the message "Update Required" appears, the unit can read out the message and explain, "This message informs you that a new version of the app is available. To update, tap the 'Update' button at the bottom right of the screen." If the message "An error has occurred" appears, the unit can read out the message and explain, "This message informs you that a problem occurred with the operation of the app. To try again, tap the 'Retry' button at the center of the screen." If the message "Setup Completed" appears, the unit can read out the message and explain, "This message informs you that the setup was completed successfully."

[0050] (Example 2) The operation assist system according to an embodiment of the present invention is a system in which AI residing in a smartphone assists the user in operating the smartphone. When the user asks the smartphone a question, the AI ​​instructs the user on where to tap on the screen and reads out displayed messages and explains their meaning. This allows the operation assist system to allow the user to operate the smartphone and apps without hesitation.

[0051] An operation assist system according to an embodiment includes an operation assist unit, a tap instruction unit, and a message reading unit. The operation assist unit analyzes a user's question. For example, when a user asks, "How do I send a photo?", the operation assist unit analyzes the question and instructs the user on an appropriate operation method. Furthermore, when a user asks, "Where do I tap to open Settings?", the operation assist unit can analyze the question and instruct the user on an appropriate tap location. Furthermore, when a user sees a message saying, "An update is required," the operation assist unit can explain the meaning of the message. The tap instruction unit instructs the user on a location to tap on the screen based on the results of the analysis by the operation assist unit. For example, when a user asks, "Where do I tap to open Settings?", the tap instruction unit instructs the user to tap the gear icon at the bottom of the screen. Furthermore, when a user asks, "How do I send a photo?", the tap instruction unit can instruct the user to open a photo app, select a photo to send, and tap the share button at the top right of the screen. Furthermore, when the user asks, "How do I send an email?", the tap instruction unit can instruct the user to open an email app and tap the new compose button. The message reading unit reads out a message that appears when the user taps the location instructed by the tap instruction unit, and explains its meaning. For example, when the message "Update Required" appears, the message reading unit can read out the message and explain, "This message tells you that a new version of the app is available. To update, tap the 'Update' button at the bottom right of the screen." When the message "An error has occurred" appears, the message reading unit can read out the message and explain, "This message tells you that a problem occurred with the operation of the app. To try again, tap the 'Retry' button in the center of the screen."Furthermore, when a message such as "Settings Completed" is displayed, the message reading unit can read the message out loud and explain, "This message notifies you that the settings have been successfully completed." This allows the operation assist system according to the embodiment to allow the user to operate the smartphone or app without hesitation. For example, when the user sends a photo, the operation assist system instructs the user on specific operation steps, allowing the user to proceed with the operation without hesitation. Furthermore, when the user changes settings, the operation assist system instructs the user on the appropriate tap location, allowing the user to change the settings without hesitation. Furthermore, when the user receives an error message, the operation assist system can explain the meaning of the message and instruct the user on the appropriate solution.

[0052] The operation assist unit can predict the next operation to be performed based on the user's past operation history and provide proactive assistance. For example, the operation assist unit records operations that the user frequently performed in the past and analyzes those patterns. For example, if a user has the habit of checking email every morning, the operation assist unit can suggest automatically opening an email app in the morning. The operation assist unit can also record apps that the user frequently used in the past and predict the next operation to be performed based on the frequency of use of those apps. For example, the operation assist unit can suggest opening a social networking app that the user frequently uses. The operation assist unit can also predict the next operation to be performed based on the user's past operation history and provide proactive assistance. For example, the operation assist unit can analyze the user's past operation history, predict the next operation to be performed based on the pattern, and instruct the user on an appropriate operation method. This predicts the user's operation and provides proactive assistance, thereby improving operation efficiency.

[0053] The operation assist unit can analyze the tone and speed of the user's voice to determine the level of urgency and confusion, and provide faster and more courteous assistance. The operation assist unit, for example, analyzes the tone and speed of the user's voice in real time to determine the level of urgency. For example, if the user is in a hurry, the operation assist unit can explain the operation procedure briefly and respond quickly. The operation assist unit can also analyze the tone and speed of the user's voice to determine the level of confusion. For example, if the user is confused, the operation assist unit can carefully explain the operation procedure to help the user understand. The operation assist unit can also analyze the tone and speed of the user's voice to provide assistance according to the level of urgency and confusion. For example, if the level of urgency is high, the operation assist unit can respond quickly, and if the level of confusion is high, the operation assist unit can provide a careful explanation. In this way, by analyzing the tone and speed of the user's voice and providing assistance according to the level of urgency and confusion, the user's stress is reduced.

[0054] The operation assist unit can use the emotion estimation function to provide assistance to reduce stress and anxiety felt by the user in relation to the operation. For example, the operation assist unit can use the emotion estimation function to detect stress felt by the user in real time and provide assistance to reduce the stress. For example, if the operation is complicated, the operation assist unit can provide a simplified explanation of the procedure. The operation assist unit can also use the emotion estimation function to detect anxiety felt by the user in relation to the operation and provide assistance to reduce the anxiety. For example, if the operation is unclear, the operation assist unit can provide a detailed explanation to reduce the user's anxiety. The operation assist unit can also use the emotion estimation function to provide assistance to reduce stress and anxiety felt by the user in relation to the operation. For example, if the user is feeling stressed or anxious, the operation procedure can be explained in detail to help the user understand. In this way, the emotion estimation function can be used to reduce the user's stress and anxiety, thereby improving the comfort of the operation.

[0055] The operation assist unit is also compatible with devices other than smartphones and can provide similar operation assistance. For example, to support devices other than smartphones, the operation assist unit installs an AI assistant on a tablet or smartwatch and provides similar operation assistance. For example, when a user asks how to operate a tablet, the AI ​​provides specific instructions. The operation assist unit is also compatible with devices other than smartphones and can provide similar operation assistance. For example, when a user asks how to operate a tablet, the AI ​​provides specific instructions. The operation assist unit is also compatible with devices other than smartphones and can provide similar operation assistance. For example, when a user asks how to operate a tablet or smartwatch, the AI ​​provides specific instructions. This makes it compatible with devices other than smartphones, improving user convenience.

[0056] The operation assist unit can support different languages ​​and dialects and provide assistance in the user's native language. For example, the operation assist unit can equip the AI ​​assistant with a multilingual support function and provide operation assistance in the user's native language. For example, it can support multiple languages ​​such as English, Spanish, and Chinese. The operation assist unit can also support dialects and provide operation assistance tailored to the user's region. For example, it can support regional dialects such as Kansai dialect and Tohoku dialect. The operation assist unit can also support different languages ​​and dialects and provide operation assistance in the user's native language. For example, it can provide operation assistance in an appropriate language or dialect based on the language and regional information set by the user. This allows the user to receive operation assistance in their native language by supporting different languages ​​and dialects.

[0057] The operation assist unit can use the emotion estimation function to provide assistance while playing music or audio that is most relaxing to the user in the background. The operation assist unit, for example, uses the emotion estimation function to provide operation assistance while playing music that is relaxing to the user in the background. For example, if the user is feeling stressed, music with a relaxing effect is played. The operation assist unit can also provide operation assistance while playing audio that is relaxing to the user in the background. For example, natural sounds or soothing voices are played. The operation assist unit can also use the emotion estimation function to provide assistance while playing music or audio that is most relaxing to the user in the background. For example, the user can select music or audio that is relaxing, and operation assistance is provided while playing that music or audio in the background. In this way, playing relaxing music or audio in the background reduces the user's stress and improves the comfort of operation.

[0058] The tap instruction unit can track the user's gaze and highlight the tap point at the gaze point. To track the user's gaze, the tap instruction unit, for example, uses a smartphone camera to analyze gaze movement and highlight the tap point at the gaze point. For example, if the gaze is directed at a specific icon, the icon is highlighted. The tap instruction unit can also analyze gaze movement in real time and highlight the tap point at the gaze point. For example, if the gaze is directed at a specific button, the button is highlighted. The tap instruction unit can also track the user's gaze and highlight the tap point at the gaze point. For example, if the gaze is directed at a specific link, the link is highlighted. In this way, by tracking the user's gaze and highlighting the tap point, the accuracy of operation is improved.

[0059] The tap instruction unit can use 3D animation to indicate the location to tap, making it easier to understand visually. For example, the tap instruction unit displays an animation on the smartphone screen to indicate the location to tap using 3D animation, visually indicating the location where the user should tap. For example, the tap point is indicated using an arrow or hand icon. The tap instruction unit can also use 3D animation to make the location to tap easier to understand visually. For example, it displays an animation that makes the tap point appear to float. The tap instruction unit can also use 3D animation to make the location to tap easier to understand visually. For example, it displays an animation that makes the tap point appear to rotate. In this way, using 3D animation makes it easier for the user to visually understand the location to tap.

[0060] The tap instruction unit can use the emotion estimation function to display an encouraging message to reduce the user's anxiety when tapping. The tap instruction unit, for example, uses the emotion estimation function to detect the user's anxiety when tapping and display the encouraging message. For example, it displays a message such as "It's okay, just tap here." The tap instruction unit can also display a positive message to reduce the user's anxiety when tapping. For example, it displays a message such as "Please operate with confidence." The tap instruction unit can also use the emotion estimation function to display an encouraging message to reduce the user's anxiety when tapping. For example, it displays a message such as "You can do it." In this way, by using the emotion estimation function to display an encouraging message to reduce the user's anxiety, the user's sense of security when operating is improved.

[0061] The tap instruction unit can indicate the location to tap using haptic feedback (vibration). The tap instruction unit, for example, uses the smartphone's vibration function to indicate the location to tap using haptic feedback. For example, the vibration becomes stronger as the user approaches the tap point. The tap instruction unit can also change the vibration pattern to indicate the location to tap using haptic feedback. For example, the interval between vibrations becomes shorter as the user approaches the tap point. The tap instruction unit can also change the intensity of the vibration to indicate the location to tap using haptic feedback. For example, the vibration becomes stronger as the user approaches the tap point. In this way, using haptic feedback makes it easier for the user to intuitively understand where to tap.

[0062] The tap instruction unit can update the tap location in real time in accordance with the movement of the user's hand. The tap instruction unit, for example, builds a system that tracks the movement of the user's hand in real time and updates the tap location in accordance with the movement. For example, when the hand approaches a specific area, the area is displayed as a tap point. The tap instruction unit can also analyze the movement of the user's hand in real time and update the tap location in accordance with the movement. For example, when the hand approaches a specific button, the button is displayed as a tap point. The tap instruction unit can also track the movement of the user's hand in real time and update the tap location in accordance with the movement. For example, when the hand approaches a specific link, the link is displayed as a tap point. In this way, the tap location is updated in real time in accordance with the movement of the user's hand, thereby improving the smoothness of operation.

[0063] The tap instruction unit can use the emotion estimation function to adjust the tone and content of instructions depending on the emotional state of the user when tapping. The tap instruction unit, for example, uses the emotion estimation function to analyze the emotional state of the user when tapping and adjust the tone and content of instructions depending on the state. For example, if the user is nervous, the tap instruction unit gives instructions in a gentle tone. The tap instruction unit can also adjust the content of instructions depending on the emotional state of the user. For example, if the user is confused, the tap instruction unit can provide detailed explanations. The tap instruction unit can also use the emotion estimation function to adjust the tone and content of instructions depending on the emotional state of the user when tapping. For example, if the user is relaxed, the tap instruction unit can provide concise instructions. This improves the comfort of operation by using the emotion estimation function to provide instructions depending on the user's emotional state.

[0064] The message reading unit can automatically adjust the message reading speed and tone according to the user's level of comprehension. The message reading unit, for example, analyzes the user's level of comprehension and builds a system that automatically adjusts the message reading speed based on the result. For example, if the level of comprehension is high, the message is read at a fast speed, and if the level of comprehension is low, the message is read at a slower speed. The message reading unit can also adjust the reading tone based on the user's level of comprehension. For example, if the level of comprehension is high, the message is read at a concise tone, and if the level of comprehension is low, the message is read at a polite tone. The message reading unit can also automatically adjust the reading speed and tone based on the user's level of comprehension. For example, if the level of comprehension is high, the message is read at a fast speed and concisely, and if the level of comprehension is low, the message is read at a slower and more polite tone. In this way, automatically adjusting the message reading speed and tone according to the user's level of comprehension makes it easier to understand the message.

[0065] The message reading unit can customize the content of the message based on the user's past operation history and interests. The message reading unit, for example, analyzes the user's past operation history and builds a system that customizes the content of the message based on the analysis. For example, messages related to functions that have been frequently used in the past are preferentially displayed. The message reading unit can also customize the content of the message based on the user's interests. For example, messages related to topics in which the user is interested are displayed. The message reading unit can also customize the content of the message based on the user's past operation history and interests. For example, messages related to apps that have been frequently used in the past are displayed. In this way, by customizing the content of the message based on the user's past operation history and interests, more useful information can be provided to the user.

[0066] The message reading unit can use the emotion estimation function to provide additional explanations to alleviate any anxiety or doubts the user may have about the message. For example, the message reading unit can use the emotion estimation function to detect any anxiety the user may have about the message and provide additional explanations to alleviate the anxiety. For example, the message reading unit can add an explanation that gives a sense of security, such as "This operation is safe." The message reading unit can also detect any doubt the user may have about the message and provide additional explanations to alleviate the doubts. For example, the message reading unit can add an explanation such as "This operation is necessary to proceed to the next step." The message reading unit can also use the emotion estimation function to provide additional explanations to alleviate any anxiety or doubts the user may have about the message. For example, the message reading unit can add an explanation such as "This operation is necessary to ensure normal operation of the system." In this way, the emotion estimation function can be used to provide additional explanations to alleviate the user's anxiety or doubts, thereby improving the user's sense of security.

[0067] The message reading unit can read messages in the voices of different voice actors or characters to suit the user's preferences. For example, in order to read messages in the voices of different voice actors, the message reading unit can prepare audio data of multiple voice actors and allow the user to select from them. For example, the voices of male and female voice actors can be selected. The message reading unit can also read messages in the voices of different characters. For example, the voices of anime characters or game characters can be selected. The message reading unit can also read messages in the voices of different voice actors or characters to suit the user's preferences. For example, the user can select the voice of their favorite voice actor or character and read messages in that voice. This allows assistance to be tailored to the user's preferences by reading messages in the voices of different voice actors or characters.

[0068] The message reading unit can visually explain the contents of the message using visual effects and animation. For example, the message reading unit prepares animations and graphics to visually explain the contents of the message using visual effects, and displays them in a way that is easy for the user to understand. For example, it shows operation procedures using animation. The message reading unit can also visually explain the contents of the message using animation. For example, it displays animations that show operation procedures step by step. The message reading unit can also visually explain the contents of the message using visual effects and animation. For example, it shows operation procedures using graphics. In this way, the use of visual effects and animation makes it easier for the user to visually understand the contents of the message.

[0069] The message reading unit can use the emotion estimation function to dynamically change the order and content of the explanation so that the user can easily understand the message. The message reading unit, for example, uses the emotion estimation function to build a system that dynamically changes the order of the explanation so that the user can easily understand the message. For example, if the user is confused, the explanation is given starting with basic information. The message reading unit can also dynamically change the content of the explanation depending on the user's emotional state. For example, if the user is feeling anxious, a detailed explanation is provided. The message reading unit can also use the emotion estimation function to dynamically change the order and content of the explanation so that the user can easily understand the message. For example, if the user is relaxed, a concise explanation is provided. In this way, the emotion estimation function can be used to dynamically change the order and content of the explanation so that the user can easily understand the message, making it easier for the user to understand the message.

[0070] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0071] The operation assist unit can predict the next operation to be performed based on the user's operation history and provide proactive assistance. For example, it can record operations that the user has frequently performed in the past and analyze those patterns. If the user has the habit of checking email every morning, the operation assist unit can suggest automatically opening the email app in the morning. It can also record apps that the user has frequently used in the past and predict the next operation to be performed based on how often the app is used. For example, it can suggest opening a social media app that the user frequently uses. Furthermore, it can predict the next operation to be performed based on the user's operation history and provide proactive assistance. This improves operation efficiency by predicting user operations and providing proactive assistance.

[0072] The operation assist unit can analyze the tone and speed of the user's voice to determine the level of urgency and confusion, and provide faster and more courteous assistance. For example, the operation assist unit can analyze the tone and speed of the user's voice in real time to determine the level of urgency. If the user is in a hurry, the operation procedure can be explained briefly and a quick response can be provided. The operation assist unit can also analyze the tone and speed of the user's voice to determine the level of confusion. If the user is confused, the operation procedure can be explained in detail to help the user understand. Furthermore, the operation assist unit can analyze the tone and speed of the user's voice to provide assistance according to the level of urgency and confusion. This reduces the user's stress by analyzing the tone and speed of the user's voice and providing assistance according to the level of urgency and confusion.

[0073] The operation assistance unit is also compatible with devices other than smartphones and can provide similar operation assistance. For example, an AI assistant can be installed on a tablet or smartwatch to provide similar operation assistance. When asked how to operate a tablet, the AI ​​will provide specific instructions. Also, when asked how to operate a smartwatch, the AI ​​can provide specific instructions. Furthermore, it is also possible to support devices other than smartphones and provide similar operation assistance. This improves user convenience by supporting devices other than smartphones.

[0074] The operation assistance unit can support different languages ​​and dialects and provide assistance in the user's native language. For example, the AI ​​assistant can be equipped with a multilingual function to provide operation assistance in the user's native language. It can support multiple languages, such as English, Spanish, and Chinese. It can also support dialects and provide operation assistance tailored to the user's region. It can support regional dialects, such as Kansai dialect and Tohoku dialect. Furthermore, it can support different languages ​​and dialects and provide operation assistance in the user's native language. This allows the user to receive operation assistance in their native language by supporting different languages ​​and dialects.

[0075] The operation assist unit can use the emotion estimation function to provide assistance while playing music or audio that is most relaxing to the user in the background. For example, the emotion estimation function can be used to provide operation assistance while playing music that is relaxing to the user in the background. If the user is feeling stressed, music with a relaxing effect can be played. Operation assistance can also be provided while playing audio that is relaxing to the user in the background. Sounds of nature or calming voices can be played. Furthermore, the operation assistance can be provided while the user selects music or audio that is relaxing to them and playing it in the background. In this way, playing relaxing music or audio in the background reduces the user's stress and improves the comfort of operation.

[0076] The tap instruction unit can track the user's gaze and highlight the tap point at the destination of the gaze. For example, it can use the smartphone's camera to analyze gaze movement and highlight the tap point at the destination of the gaze. If the gaze is directed at a specific icon, the icon is highlighted. It can also analyze gaze movement in real time and highlight the tap point at the destination of the gaze. If the gaze is directed at a specific button, the button is highlighted. Furthermore, if the gaze is directed at a specific link, the link can be highlighted. In this way, by tracking the user's gaze and highlighting the tap point, the accuracy of operation is improved.

[0077] The tap instruction unit can use 3D animation to indicate where to tap, making it easier to understand visually. For example, an animation can be displayed on the smartphone screen to visually indicate where the user should tap. The tap point can be indicated using an arrow or hand icon. 3D animation can also be used to make it easier to understand visually where to tap. An animation can be displayed that makes the tap point appear to float. Furthermore, an animation can be displayed that makes the tap point rotate. In this way, using 3D animation makes it easier for the user to visually understand where to tap.

[0078] The tap instruction unit can use the emotion estimation function to display an encouraging message to reduce the user's anxiety when tapping. For example, the emotion estimation function can be used to detect the user's anxiety when tapping and display an encouraging message. A message such as "It's okay, just tap here" can be displayed. In addition, a positive message can be displayed to reduce the user's anxiety when tapping. A message such as "Please operate with confidence" can be displayed. Furthermore, a message such as "You can do it" can be displayed. In this way, by using the emotion estimation function to display an encouraging message to reduce the user's anxiety, the user's sense of security when operating can be improved.

[0079] The tap instruction unit can use haptic feedback (vibration) to indicate where to tap. For example, by using the smartphone's vibration function, the vibration becomes stronger as the user approaches the tap point. In addition, the vibration pattern can be changed to indicate where to tap using haptic feedback. The interval between vibrations becomes shorter as the user approaches the tap point. Furthermore, the strength of the vibration can also be changed. The vibration becomes stronger as the user approaches the tap point. In this way, using haptic feedback makes it easier for the user to intuitively understand where to tap.

[0080] The tap instruction unit can use the emotion estimation function to adjust the tone and content of instructions depending on the emotional state of the user when tapping. For example, the emotion estimation function can be used to analyze the emotional state of the user when tapping, and the tone and content of instructions can be adjusted depending on that state. If the user is nervous, instructions can be given in a gentle tone. The content of instructions can also be adjusted depending on the user's emotional state. If the user is confused, detailed explanations can be provided. Furthermore, if the user is relaxed, concise instructions can be provided. In this way, the emotion estimation function can be used to provide instructions depending on the user's emotional state, thereby improving the comfort of operation.

[0081] The processing flow of the second embodiment will be briefly explained below.

[0082] Step 1: The operation assistance unit analyzes the user's question. For example, if the user asks, "How do I send a photo?", the operation assistance unit analyzes the question and provides instructions on the appropriate operation method. Also, if the user asks, "Where should I tap to open Settings?", the operation assistance unit can analyze the question and provide instructions on the appropriate place to tap. Furthermore, if the user sees a message that says, "An update is required," the operation assistance unit can explain the meaning of the message. Step 2: The tap instruction unit instructs the user on where to tap on the screen based on the results of analysis by the operation assistance unit. For example, if the user asks, "Where do I tap to open Settings?", the tap instruction unit instructs the user to tap the gear icon at the bottom of the screen. If the user asks, "How do I send a photo?", the tap instruction unit can instruct the user to open the Photos app, select the photo they want to send, and tap the Share button at the top right of the screen. If the user asks, "How do I send an email?", the tap instruction unit can instruct the user to open the Mail app and tap the Compose button. Step 3: The message reading unit reads out the message that appears when the user taps the location indicated by the tap instruction unit, and explains its meaning. For example, if the message "Update Required" appears, the unit can read out the message and explain, "This message informs you that a new version of the app is available. To update, tap the 'Update' button at the bottom right of the screen." If the message "An error has occurred" appears, the unit can read out the message and explain, "This message informs you that a problem occurred with the operation of the app. To try again, tap the 'Retry' button at the center of the screen." If the message "Setup Completed" appears, the unit can read out the message and explain, "This message informs you that the setup was completed successfully."

[0083] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0084] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0085] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0086] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0087] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0088] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0089] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0090] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0091] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0092] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0093] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0094] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0095] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0096] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0097] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0098] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0099] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0100] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0101] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0102] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0103] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0104] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0105] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0106] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0107] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0108] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0109] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0110] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0111] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0112] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0113] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0114] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0115] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0116] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0117] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0118] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0119] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0120] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0121] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0122] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0123] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0124] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0125] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0126] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0127] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0128] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0129] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0130] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0131] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0132] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0133] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0134] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0135] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0136] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0137] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0138] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0139] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0140] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0141] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0142] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0143] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0144] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0145] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0146] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0147] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0148] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0149] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0150] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. an operation assist unit that analyzes a user's question; a tap instruction unit that instructs a location to tap on the screen based on the result of analysis by the operation assist unit; a message reading unit that reads out a message displayed when the location indicated by the tap instruction unit is tapped and explains the meaning of the message; A system characterized by:

2. The operation assist unit Predicts the next operation to be performed by the user based on the user's past operation history and provides proactive assistance.

2. The system of claim 1.

3. The operation assist unit Compatible with devices other than smartphones, providing similar operation assistance 2. The system of claim 1.

4. The tap instruction unit Tracking the user's gaze and highlighting the tap point at the end of the gaze 2. The system of claim 1.

5. The message reading unit The reading speed and tone of the message are automatically adjusted to match the user's level of comprehension.

2. The system of claim 1.

6. The operation assist unit Analyze the tone and speed of the user's voice to determine the level of urgency or confusion, and provide faster, more courteous assistance.

2. The system of claim 1.

7. The tap instruction unit Using emotion estimation, the encouraging message is displayed to reduce the user's anxiety when tapping.

2. The system of claim 1.

8. The message reading unit Using an emotion estimation function, additional explanation is provided to alleviate any anxiety or doubts the user may have about the message.

2. The system of claim 1.

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