System

Abstract

An object of a system according to an embodiment is to provide an environment in which children can casually consult about worries and worries.SOLUTION: A system includes an online platform, a counselor, an anonymity securing part, a chat function, and a self-development content providing part. The online platform allows children to discuss worries and concerns. Counselors provide advice and support to children through online platforms. The anonymity securing unit protects the privacy of children. The chat function corresponds to 24 hours. The self-development content providing part provides self-development content.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 does not adequately create an environment where children can feel comfortable discussing their worries and concerns, so there is room for improvement.

[0005] The system according to the embodiment aims to provide an environment in which children can easily talk about their worries and concerns. [Means for solving the problem]

[0006] The system according to the embodiment includes an online platform, a counselor, an anonymity assurance unit, a chat function, and a self-improvement content provision unit. The online platform allows children to consult about their worries and concerns. The counselor provides advice and support to children through the online platform. The anonymity assurance unit protects children's privacy. The chat function is available 24 hours a day. The self-improvement content provision unit provides self-improvement content. [Effects of the Invention]

[0007] The system according to the embodiment can provide an environment where children can easily consult about their worries and concerns. [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 online platform according to an embodiment of the present invention is a system that serves as a confidant for children to talk about their worries and concerns. This system provides an environment where children can easily talk to someone, just like a friend. As a result, the online platform can provide an environment where children can talk about their worries with peace of mind.

[0029] An online platform according to an embodiment includes an online platform, a counselor, an anonymity assurance unit, a chat function, and a self-improvement content provision unit. The online platform allows children to consult about their worries and concerns. For example, it addresses issues such as bullying at school, family problems, and friendship problems. The counselor provides advice and support to children through the online platform. For example, a counselor with expertise in psychology or education will provide sympathetic support to children's concerns. The anonymity assurance unit protects children's privacy. For example, it allows users to consult without revealing their names or personal information. The chat function is available 24 hours a day, allowing children to consult at any time. For example, even if a problem arises in the middle of the night, they can immediately consult a counselor. The self-improvement content provision unit provides self-improvement content. For example, it provides relaxation techniques, positive thinking, and time management tips. This allows the online platform to provide an environment where children can safely consult about their concerns. For example, if a child is experiencing stress at school or is having trouble with friends, they can receive advice from a professional counselor through this platform to alleviate their mental burden. They can also use self-improvement content to develop the ability to solve problems on their own.

[0030] The online platform can be accessed from at least one device selected from the group consisting of a smartphone, a tablet, and a personal computer. The online platform can be accessed from devices such as a smartphone, a tablet, and a personal computer. For example, children can access the platform from home, school, or on the go, allowing children to access the platform from anywhere.

[0031] Counselors can deal with bullying at school, problems at home, and worries about friendships. Counselors can deal with bullying at school, for example, by providing advice on the types of bullying and how to deal with it. Counselors can also deal with problems at home, for example, by providing support for troubles within the family and worries about parent-child relationships. Counselors can also deal with worries about friendships, for example, by giving advice about troubles with friends and communication problems. This allows them to deal with a wide range of worries that children have.

[0032] The anonymity assurance unit allows users to seek advice without revealing their names or personal information. For example, the anonymity assurance unit allows users to seek advice without revealing their names or personal information. For example, users can input the details of their consultation anonymously and send it to a counselor. The anonymity assurance unit also provides technical means to protect the users' personal information. For example, data encryption and anonymization technology are used. This allows children to seek advice in peace.

[0033] The chat function allows children to consult with a counselor even at night. For example, counselors are available on a shift basis 24 hours a day. The chat function also uses an AI chatbot to provide a quick response, even at night. For example, the AI ​​chatbot answers basic questions and transfers the case to a counselor if necessary. This allows children to consult with a counselor at any time.

[0034] The self-improvement content providing unit can provide relaxation methods, ways to think positively, and tips for time management. The self-improvement content providing unit, for example, provides relaxation methods. For example, it introduces methods for deep breathing and meditation. The self-improvement content providing unit also provides ways to think positively. For example, it introduces affirmations and mindfulness methods for cultivating positive thinking. The self-improvement content providing unit also provides tips for time management. For example, it introduces effective time management methods and how to make a schedule. This allows children to learn self-improvement.

[0035] The online platform can implement an algorithm that automatically recommends related self-improvement content based on the content of the consultation. For example, when a child inputs the content of their consultation, the online platform analyzes the content using natural language processing technology and automatically recommends related self-improvement content. For example, for a consultation about stress management, content introducing relaxation methods is displayed. The online platform can also implement an algorithm that automatically recommends related self-improvement content based on the content of the consultation. For example, a machine learning algorithm is used to match the content of the consultation with related content. This makes it possible to provide self-improvement content that suits the content of the consultation of the child.

[0036] Online platforms incorporate game elements into their platforms, allowing children to learn about mental health while having fun. For example, online platforms may add mini-games to their platforms, allowing children to learn about mental health while having fun. For example, they may provide quiz games with themes of stress management and positive thinking. Online platforms may also incorporate game elements into their platforms, allowing children to learn about mental health while having fun. For example, they may introduce a point system or level-up function, allowing children to learn in a game-like manner. This allows children to learn about mental health while having fun.

[0037] The online platform may provide a customizable interface for different age groups or cultural backgrounds. For example, the online platform may allow the platform interface to be customized according to age group. For example, a simple and colorful design may be provided for elementary school children, and a subdued design may be provided for middle and high school students. The online platform may also provide an interface for different cultural backgrounds. For example, an interface may be provided that is customizable according to language or culture. This allows children to use an interface that suits them.

[0038] Counselors can conduct consultations in a virtual space using avatars. For example, a system can be constructed in which counselors and children can consult in a virtual space using avatars. For example, they can communicate in real time using 3D avatars. Counselors can also conduct consultations in a virtual space using avatars. For example, through dialogue in the virtual space, an environment can be provided in which children can relax and consult. This can provide an environment in which children can relax and consult.

[0039] Counselors can provide a combination of approaches from different fields of expertise. Counselors can build a system that provides a combination of approaches from different fields of expertise, such as sports psychology and art therapy. For example, they can provide stress management methods using sports psychology. Counselors can also provide a combination of approaches from different fields of expertise. For example, they can provide a combination of cognitive behavioral therapy and music therapy. This allows them to provide comprehensive support to children.

[0040] The anonymity assurance unit can automatically classify patterns of consultation content while ensuring anonymity, and provide common advice to children with common concerns. The anonymity assurance unit, for example, collects consultation content anonymously and builds a system that automatically classifies patterns using natural language processing technology. For example, consultations about bullying are classified into one category. The anonymity assurance unit also automatically classifies patterns of consultation content while ensuring anonymity, and provides common advice to children with common concerns. For example, it uses a machine learning algorithm to classify the consultation content and provide common advice. This allows children to receive common advice anonymously.

[0041] The anonymity assurance unit can add a function that allows children to consult with virtual friends while maintaining anonymity. For example, the anonymity assurance unit adds a function to the platform that allows children to consult with virtual friends anonymously. For example, a virtual friend using AI can answer children's questions. The anonymity assurance unit also adds a function that allows children to consult with virtual friends while maintaining anonymity. For example, it provides a method for creating virtual friends and an interface for consultation. This allows children to consult with virtual friends anonymously.

[0042] The anonymity assurance unit can provide a community function that allows children to empathize with other users while remaining anonymous. The anonymity assurance unit, for example, adds a community function to the platform that allows children to empathize with other users anonymously. For example, they can share their worries and receive sympathy and advice while remaining anonymous. The anonymity assurance unit also provides a community function that allows children to empathize with other users while remaining anonymous. For example, it provides a method for building a community and a method for expressing sympathy. This allows children to empathize with other users anonymously.

[0043] The chat function automatically summarizes chat history, allowing counselors to respond quickly. For example, the chat function develops an algorithm that automatically summarizes chat history and builds a system that enables counselors to respond quickly. For example, it extracts important points and generates a summary. The chat function also automatically summarizes chat history, allowing counselors to respond quickly. For example, it provides the algorithms, techniques, and summarization criteria to be used. This enables counselors to respond quickly.

[0044] The chat function adds voice input, allowing children to seek advice by voice. For example, the chat function adds voice input to build a system that allows children to seek advice by voice. For example, voice is input using a microphone and converted into text in real time. The chat function also adds voice input, allowing children to seek advice by voice. For example, the technology, interface, and speech recognition accuracy used are provided. This allows children to seek advice by voice.

[0045] The self-improvement content provider adds interactive elements to the self-improvement content, allowing children to actively participate. The self-improvement content provider, for example, builds a system that adds interactive elements to the self-improvement content and allows children to actively participate. For example, the self-improvement content provider learns about self-improvement through quizzes and questionnaires. The self-improvement content provider also adds interactive elements and allows children to actively participate. For example, the self-improvement content provider provides specific examples of the technology, interface, and interactive elements to be used. This allows children to actively participate in the self-improvement content.

[0046] The self-improvement content providing unit can provide self-improvement content in different media formats. For example, the self-improvement content providing unit builds a system for providing self-improvement content in different media formats. For example, the self-improvement content providing unit introduces relaxation methods through videos or podcasts. The self-improvement content providing unit also provides self-improvement content in different media formats. For example, the self-improvement content providing unit provides the media format and type of content to be used. This allows children to receive self-improvement content in a variety of media formats.

[0047] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0048] Online platforms can also have message boards where children can anonymously share their concerns. For example, they can exchange opinions with other users about bullying or problems at home. The message boards can also be regularly monitored by counselors who can provide professional advice as needed. This allows children to empathize with other users while also receiving professional support.

[0049] Online platforms can also provide resource libraries to help children resolve their concerns. For example, they can access articles and videos on anti-bullying and stress management. The resource library can also provide materials recommended by counselors, giving children the knowledge to solve their problems on their own.

[0050] Online platforms can also have community features that allow children to anonymously share their feelings. For example, they can share their worries anonymously and receive sympathy and advice. The community feature can also be regularly checked by counselors who can provide professional advice as needed. This allows children to empathize with other users while also receiving professional support.

[0051] Online platforms can also have an emotion diary feature that allows children to anonymously share their emotions. For example, they can anonymously record their daily emotions and events and review them later. The emotion diary feature can also help counselors track changes in children's emotions, which can help children organize their emotions and make consultations with counselors more effective.

[0052] Online platforms can also have an emotion map feature that allows children to anonymously share their emotions. For example, changes in emotions can be displayed on a map, allowing children to visually understand what emotions they felt in each location. The emotion map feature can also help counselors track changes in children's emotions, allowing children to organize their emotions and make consultations with counselors more effective.

[0053] The processing flow of the first embodiment will be briefly explained below.

[0054] Step 1: The online platform allows children to discuss their worries and concerns, such as bullying at school, problems at home, or friendship issues. Step 2: Counsellors provide advice and support to children through an online platform. For example, counsellors with expertise in psychology or education will provide empathetic support to children's concerns. Step 3: The anonymity section protects children's privacy, allowing users to consult without revealing their names or personal information. Step 4: The chat function is available 24 hours a day, so children can talk to a counselor at any time. For example, if a problem arises in the middle of the night, they can immediately talk to a counselor. Step 5: The self-improvement content provider provides self-improvement content, such as relaxation techniques, positive thinking, and time management tips.

[0055] (Example 2) The online platform according to an embodiment of the present invention is a system that serves as a confidant for children to talk about their worries and concerns. This system provides an environment where children can easily talk to someone, just like a friend. As a result, the online platform can provide an environment where children can talk about their worries with peace of mind.

[0056] An online platform according to an embodiment includes an online platform, a counselor, an anonymity assurance unit, a chat function, and a self-improvement content provision unit. The online platform allows children to consult about their worries and concerns. For example, it addresses issues such as bullying at school, family problems, and friendship problems. The counselor provides advice and support to children through the online platform. For example, a counselor with expertise in psychology or education will provide sympathetic support to children's concerns. The anonymity assurance unit protects children's privacy. For example, it allows users to consult without revealing their names or personal information. The chat function is available 24 hours a day, allowing children to consult at any time. For example, even if a problem arises in the middle of the night, they can immediately consult a counselor. The self-improvement content provision unit provides self-improvement content. For example, it provides relaxation techniques, positive thinking, and time management tips. This allows the online platform to provide an environment where children can safely consult about their concerns. For example, if a child is experiencing stress at school or is having trouble with friends, they can receive advice from a professional counselor through this platform to alleviate their mental burden. They can also use self-improvement content to develop the ability to solve problems on their own.

[0057] The online platform can be accessed from at least one device selected from the group consisting of a smartphone, a tablet, and a personal computer. The online platform can be accessed from devices such as a smartphone, a tablet, and a personal computer. For example, children can access the platform from home, school, or on the go, allowing children to access the platform from anywhere.

[0058] Counselors can deal with bullying at school, problems at home, and worries about friendships. Counselors can deal with bullying at school, for example, by providing advice on the types of bullying and how to deal with it. Counselors can also deal with problems at home, for example, by providing support for troubles within the family and worries about parent-child relationships. Counselors can also deal with worries about friendships, for example, by giving advice about troubles with friends and communication problems. This allows them to deal with a wide range of worries that children have.

[0059] The anonymity assurance unit allows users to seek advice without revealing their names or personal information. For example, the anonymity assurance unit allows users to seek advice without revealing their names or personal information. For example, users can input the details of their consultation anonymously and send it to a counselor. The anonymity assurance unit also provides technical means to protect the users' personal information. For example, data encryption and anonymization technology are used. This allows children to seek advice in peace.

[0060] The chat function allows children to consult with a counselor even at night. For example, counselors are available on a shift basis 24 hours a day. The chat function also uses an AI chatbot to provide a quick response, even at night. For example, the AI ​​chatbot answers basic questions and transfers the case to a counselor if necessary. This allows children to consult with a counselor at any time.

[0061] The self-improvement content providing unit can provide relaxation methods, ways to think positively, and tips for time management. The self-improvement content providing unit, for example, provides relaxation methods. For example, it introduces methods for deep breathing and meditation. The self-improvement content providing unit also provides ways to think positively. For example, it introduces affirmations and mindfulness methods for cultivating positive thinking. The self-improvement content providing unit also provides tips for time management. For example, it introduces effective time management methods and how to make a schedule. This allows children to learn self-improvement.

[0062] The online platform can analyze children's emotions in real time and automatically change the color or design of the interface according to their emotions. For example, when children access the platform, the online platform uses a camera or microphone to analyze their facial expressions and tone of voice and estimate their emotions in real time. For example, if a child is sad, the color of the interface can be changed to blue to create a relaxing design. The online platform also uses the emotion estimation function to automatically change the color or design of the interface according to the children's emotions. For example, the color or design of the interface can be adjusted based on the emotion score. This makes it possible to provide an interface that suits the children's emotions.

[0063] The online platform can implement an algorithm that automatically recommends related self-improvement content based on the content of the consultation. For example, when a child inputs the content of their consultation, the online platform analyzes the content using natural language processing technology and automatically recommends related self-improvement content. For example, for a consultation about stress management, content introducing relaxation methods is displayed. The online platform can also implement an algorithm that automatically recommends related self-improvement content based on the content of the consultation. For example, a machine learning algorithm is used to match the content of the consultation with related content. This makes it possible to provide self-improvement content that suits the content of the consultation of the child.

[0064] The online platform can use the emotion estimation function to grasp the emotional state of children and notify counselors at the appropriate time. For example, the online platform can analyze emotions in real time using a camera or microphone while children are using the platform, and build a system to notify counselors if the emotional state exceeds a certain threshold. For example, a notification is sent if strong sadness or anger is detected. The online platform can also use the emotion estimation function to grasp the emotional state of children and notify counselors at the appropriate time. For example, the timing of the notification is adjusted based on the emotion score. This makes it possible to provide appropriate support according to the emotional state of children.

[0065] Online platforms incorporate game elements into their platforms, allowing children to learn about mental health while having fun. For example, online platforms may add mini-games to their platforms, allowing children to learn about mental health while having fun. For example, they may provide quiz games with themes of stress management and positive thinking. Online platforms may also incorporate game elements into their platforms, allowing children to learn about mental health while having fun. For example, they may introduce a point system or level-up function, allowing children to learn in a game-like manner. This allows children to learn about mental health while having fun.

[0066] The online platform may provide a customizable interface for different age groups or cultural backgrounds. For example, the online platform may allow the platform interface to be customized according to age group. For example, a simple and colorful design may be provided for elementary school children, and a subdued design may be provided for middle and high school students. The online platform may also provide an interface for different cultural backgrounds. For example, an interface may be provided that is customizable according to language or culture. This allows children to use an interface that suits them.

[0067] The online platform can use the emotion estimation function to automatically generate music or art that corresponds to the children's emotions, enhancing the relaxation effect. For example, the online platform analyzes the children's emotional state and builds a system that automatically generates music with a relaxing effect based on the results. For example, if the children are feeling stressed, calm music is generated and played. The online platform also uses the emotion estimation function to automatically generate art that corresponds to the children's emotions. For example, art with a relaxing effect is generated based on the emotion score. This makes it possible to provide a relaxation effect that corresponds to the children's emotions.

[0068] Counselors can grasp children's emotions in real time using a dashboard equipped with an emotion estimation function. For example, the counselor builds a system that incorporates the emotion estimation function into a counselor dashboard and displays children's emotional states in real time. For example, the emotion score is visually displayed using a graph or color. The counselor also uses the emotion estimation function to grasp children's emotions in real time. For example, the counselor takes appropriate action based on the emotion score. This allows the counselor to grasp children's emotions in real time.

[0069] The counselor can create an advice template based on the emotion analysis results and provide advice according to the emotions of the children. The counselor, for example, builds a system that creates a template of advice that the counselor provides to children based on the emotion analysis results. For example, advice according to the emotion score is automatically generated. The counselor also creates an advice template based on the emotion analysis results and provides advice according to the emotions of the children. For example, appropriate advice is provided based on the emotion score. This allows the counselor to provide appropriate advice according to the emotions of the children.

[0070] Counselors can conduct consultations in a virtual space using avatars. For example, a system can be constructed in which counselors and children can consult in a virtual space using avatars. For example, they can communicate in real time using 3D avatars. Counselors can also conduct consultations in a virtual space using avatars. For example, through dialogue in the virtual space, an environment can be provided in which children can relax and consult. This can provide an environment in which children can relax and consult.

[0071] Counselors can provide a combination of approaches from different fields of expertise. Counselors can build a system that provides a combination of approaches from different fields of expertise, such as sports psychology and art therapy. For example, they can provide stress management methods using sports psychology. Counselors can also provide a combination of approaches from different fields of expertise. For example, they can provide a combination of cognitive behavioral therapy and music therapy. This allows them to provide comprehensive support to children.

[0072] Counselors can use the emotion estimation function to suggest relaxation techniques that correspond to the emotions of children. For example, counselors can use the emotion estimation function to analyze the emotional state of children and build a system that suggests relaxation techniques based on the results. For example, if a child is feeling stressed, they can suggest deep breathing or meditation. Counselors can also use the emotion estimation function to suggest relaxation techniques that correspond to the emotions of children. For example, they can provide appropriate relaxation techniques based on the emotion score. This makes it possible to provide appropriate relaxation techniques to children.

[0073] The anonymity ensuring unit can anonymously analyze the emotional state of children and provide support based on their emotions. The anonymity ensuring unit, for example, uses an emotion estimation function to analyze the emotional state so that children can seek advice anonymously, and builds a system that provides appropriate support based on the results. For example, the emotion score is notified to a counselor anonymously. The anonymity ensuring unit also anonymously analyzes the emotional state of children and provides support based on their emotions. For example, the emotional state is analyzed using a data anonymization method, and appropriate support is provided. This allows children to receive support based on their emotions anonymously.

[0074] The anonymity assurance unit can automatically classify patterns of consultation content while ensuring anonymity, and provide common advice to children with common concerns. The anonymity assurance unit, for example, collects consultation content anonymously and builds a system that automatically classifies patterns using natural language processing technology. For example, consultations about bullying are classified into one category. The anonymity assurance unit also automatically classifies patterns of consultation content while ensuring anonymity, and provides common advice to children with common concerns. For example, it uses a machine learning algorithm to classify the consultation content and provide common advice. This allows children to receive common advice anonymously.

[0075] The anonymity assurance unit uses the emotion estimation function to anonymously notify counselors of the emotional states of children, allowing them to provide appropriate support. The anonymity assurance unit, for example, uses the emotion estimation function to anonymously analyze children's emotional states and builds a system that notifies counselors of the results. For example, the emotion score is displayed anonymously to the counselor. The anonymity assurance unit also uses the emotion estimation function to anonymously notify counselors of children's emotional states and provide appropriate support. For example, the emotional state is analyzed using a data anonymization method, and the timing and method of notification are adjusted. This allows children to receive support based on their emotions anonymously.

[0076] The anonymity assurance unit can add a function that allows children to consult with virtual friends while maintaining anonymity. For example, the anonymity assurance unit adds a function to the platform that allows children to consult with virtual friends anonymously. For example, a virtual friend using AI can answer children's questions. The anonymity assurance unit also adds a function that allows children to consult with virtual friends while maintaining anonymity. For example, it provides a method for creating virtual friends and an interface for consultation. This allows children to consult with virtual friends anonymously.

[0077] The anonymity assurance unit can provide a community function that allows children to empathize with other users while remaining anonymous. The anonymity assurance unit, for example, adds a community function to the platform that allows children to empathize with other users anonymously. For example, they can share their worries and receive sympathy and advice while remaining anonymous. The anonymity assurance unit also provides a community function that allows children to empathize with other users while remaining anonymous. For example, it provides a method for building a community and a method for expressing sympathy. This allows children to empathize with other users anonymously.

[0078] The anonymity assurance unit can use the emotion estimation function to recommend self-development content to children that corresponds to their emotions while remaining anonymous. The anonymity assurance unit, for example, uses the emotion estimation function to anonymously analyze children's emotional states and builds a system that recommends self-development content based on the results. For example, the unit recommends relaxation methods based on emotion scores while remaining anonymous. The anonymity assurance unit also uses the emotion estimation function to recommend self-development content to children that corresponds to their emotions while remaining anonymous. For example, the unit provides the algorithms, techniques, and recommendation criteria to be used. This allows children to anonymously receive self-development content that corresponds to their emotions.

[0079] The chat function can perform emotional analysis of chat content in real time and provide an automatic response according to the emotion. For example, the chat function analyzes chat content in real time and builds a system that grasps the emotional state using an emotion estimation algorithm. For example, an automatic response according to the emotion score is provided. The chat function also performs emotional analysis of chat content in real time using the emotion estimation function and provides an automatic response according to the emotion. For example, the algorithm and technology used and the content of the automatic response are provided. This allows children to receive an automatic response according to their emotion.

[0080] The chat function automatically summarizes chat history, allowing counselors to respond quickly. For example, the chat function develops an algorithm that automatically summarizes chat history and builds a system that enables counselors to respond quickly. For example, it extracts important points and generates a summary. The chat function also automatically summarizes chat history, allowing counselors to respond quickly. For example, it provides the algorithms, techniques, and summarization criteria to be used. This enables counselors to respond quickly.

[0081] The chat function can use the emotion estimation function to automatically match a counselor according to the emotional state of children. The chat function, for example, uses the emotion estimation function to analyze the emotional state of children and build a system that automatically matches an appropriate counselor based on the results. For example, it recommends a counselor according to the emotion score. The chat function also uses the emotion estimation function to automatically match a counselor according to the emotional state of children. For example, it provides the algorithms, techniques, and matching criteria to be used. This allows children to be matched with a counselor according to their emotional state.

[0082] The chat function adds voice input, allowing children to seek advice by voice. For example, the chat function adds voice input to build a system that allows children to seek advice by voice. For example, voice is input using a microphone and converted into text in real time. The chat function also adds voice input, allowing children to seek advice by voice. For example, the technology, interface, and speech recognition accuracy used are provided. This allows children to seek advice by voice.

[0083] The chat function can use the emotion estimation function to automatically play relaxation music according to the emotions of children chatting. For example, the chat function uses the emotion estimation function to analyze the emotional state of children chatting and builds a system that automatically plays relaxation music based on the results. For example, if the children are feeling stressed, calm music is played. The chat function also uses the emotion estimation function to automatically play relaxation music according to the emotions of children chatting. For example, the system provides the algorithms, technologies, and music selection criteria to be used. This allows children to listen to relaxation music while chatting.

[0084] The self-improvement content providing unit can automatically recommend self-improvement content according to the emotional state of children. The self-improvement content providing unit, for example, uses an emotion estimation function to analyze the emotional state of children and builds a system that automatically recommends self-improvement content based on the results. For example, if a child is feeling stressed, it recommends content that introduces relaxation methods. The self-improvement content providing unit also uses the emotion estimation function to automatically recommend self-improvement content according to the emotional state of children. For example, it provides the algorithms, techniques, and recommendation criteria to be used. This allows children to receive self-improvement content according to their emotional state.

[0085] The self-improvement content providing unit can evaluate the effectiveness of self-improvement content using sentiment analysis and preferentially display effective content. The self-improvement content providing unit, for example, builds a system that evaluates the effectiveness of self-improvement content using sentiment analysis and preferentially displays effective content. For example, it evaluates the effectiveness of content based on fluctuations in sentiment scores. The self-improvement content providing unit also evaluates the effectiveness of self-improvement content using sentiment analysis and preferentially displays effective content. For example, it provides the algorithms, techniques, and evaluation criteria to be used. This allows children to preferentially receive effective self-improvement content.

[0086] The self-improvement content providing unit can use the emotion estimation function to provide personalized content according to the emotions of children. The self-improvement content providing unit, for example, uses the emotion estimation function to analyze the emotional state of children and builds a system that provides personalized content based on the results. For example, it recommends self-improvement content according to the emotion score. The self-improvement content providing unit also uses the emotion estimation function to provide personalized content according to the emotions of children. For example, it provides the algorithm, technology, and type of content to be used. This allows children to receive personalized content according to their emotions.

[0087] The self-improvement content provider adds interactive elements to the self-improvement content, allowing children to actively participate. The self-improvement content provider, for example, builds a system that adds interactive elements to the self-improvement content and allows children to actively participate. For example, the self-improvement content provider learns about self-improvement through quizzes and questionnaires. The self-improvement content provider also adds interactive elements and allows children to actively participate. For example, the self-improvement content provider provides specific examples of the technology, interface, and interactive elements to be used. This allows children to actively participate in the self-improvement content.

[0088] The self-improvement content providing unit can provide self-improvement content in different media formats. For example, the self-improvement content providing unit builds a system for providing self-improvement content in different media formats. For example, the self-improvement content providing unit introduces relaxation methods through videos or podcasts. The self-improvement content providing unit also provides self-improvement content in different media formats. For example, the self-improvement content providing unit provides the media format and type of content to be used. This allows children to receive self-improvement content in a variety of media formats.

[0089] The self-improvement content providing unit can use the emotion estimation function to track the progress of the self-improvement content according to the children's emotions and provide appropriate feedback. The self-improvement content providing unit, for example, uses the emotion estimation function to analyze the children's emotional state and builds a system that tracks the progress of the self-improvement content based on the results. For example, it provides feedback according to the emotion score. The self-improvement content providing unit also uses the emotion estimation function to track the progress of the self-improvement content according to the children's emotions and provides appropriate feedback. For example, it provides the algorithms and techniques to be used and the content of the feedback. This allows the children to receive feedback according to their emotions.

[0090] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0091] Online platforms can also have message boards where children can anonymously share their concerns. For example, they can exchange opinions with other users about bullying or problems at home. The message boards can also be regularly monitored by counselors who can provide professional advice as needed. This allows children to empathize with other users while also receiving professional support.

[0092] Online platforms can also provide art tools for children to express their emotions. For example, they can express their feelings by drawing pictures or creating music. Art tools can also help counselors understand children's emotions. This allows children to express their feelings more concretely and facilitates communication with counselors.

[0093] Online platforms can also have a feature that allows children to record their emotions in diary format. For example, they can record their daily feelings and events and reflect on them later. The diary feature can also help counselors track changes in children's emotions. This will help children organize their emotions and make consultations with counselors more effective.

[0094] Online platforms can also have live streaming features that allow children to share their feelings in real time. For example, they can share their feelings in real time while having a video call with a counselor. The live streaming feature can also help counselors directly observe children's facial expressions and tone of voice, allowing children to receive more direct support.

[0095] Online platforms can also have a virtual friend function that allows children to anonymously share their feelings. For example, an AI-powered virtual friend can provide children with advice. The virtual friend can also use emotion estimation to understand children's emotions and provide appropriate advice. This allows children to share their feelings anonymously and receive appropriate support.

[0096] Online platforms can also provide resource libraries to help children resolve their concerns. For example, they can access articles and videos on anti-bullying and stress management. The resource library can also provide materials recommended by counselors, giving children the knowledge to solve their problems on their own.

[0097] Online platforms can also provide musical tools for children to express their emotions. For example, children can use simple music-making tools to express their emotions musically. Musical tools can also help counselors understand children's emotions. This allows children to express their emotions more specifically and facilitates communication with counselors.

[0098] Online platforms can also have community features that allow children to anonymously share their feelings. For example, they can share their worries anonymously and receive sympathy and advice. The community feature can also be regularly checked by counselors who can provide professional advice as needed. This allows children to empathize with other users while also receiving professional support.

[0099] Online platforms can also have an emotion diary feature that allows children to anonymously share their emotions. For example, they can anonymously record their daily emotions and events and review them later. The emotion diary feature can also help counselors track changes in children's emotions, which can help children organize their emotions and make consultations with counselors more effective.

[0100] Online platforms can also have an emotion map feature that allows children to anonymously share their emotions. For example, changes in emotions can be displayed on a map, allowing children to visually understand what emotions they felt in each location. The emotion map feature can also help counselors track changes in children's emotions, allowing children to organize their emotions and make consultations with counselors more effective.

[0101] The processing flow of the second embodiment will be briefly explained below.

[0102] Step 1: The online platform allows children to discuss their worries and concerns, such as bullying at school, problems at home, or friendship issues. Step 2: Counsellors provide advice and support to children through an online platform. For example, counsellors with expertise in psychology or education will provide empathetic support to children's concerns. Step 3: The anonymity section protects children's privacy, allowing users to consult without revealing their names or personal information. Step 4: The chat function is available 24 hours a day, so children can talk to a counselor at any time. For example, if a problem arises in the middle of the night, they can immediately talk to a counselor. Step 5: The self-improvement content provider provides self-improvement content, such as relaxation techniques, positive thinking, and time management tips.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0107] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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).

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0122] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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).

[0127] 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.

[0128] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0137] 7, the 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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).

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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).

[0156] 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.

[0157] 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."

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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, to avoid confusion and 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.

[0169] 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]

[0170] 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 online platform where children can talk about their worries and concerns, Counselors who provide advice and support to children through said online platform; Anonymity assurance department to protect children's privacy, 24-hour chat function and a self-development content providing unit that provides self-development content; A system characterized by:

2. The online platform: Accessible from at least one of the following devices: smartphone, tablet, or computer 2. The system of claim 1.

3. The anonymity ensuring unit Users can consult without revealing their name or personal information 2. The system of claim 1.

4. The chat function You can consult with the counselor even at night.

2. The system of claim 1.

5. The self-development content providing unit Offer relaxation techniques, positive thinking, and time management tips 2. The system of claim 1.

6. The online platform: Analyze children's emotions in real time and automatically change the color or design of the interface according to said emotions.

2. The system of claim 1.

7. The counselor: A dashboard equipped with emotion estimation function is used to understand the emotions of the children in real time.

2. The system of claim 1.

8. The anonymity ensuring unit Anonymously analyzing the emotional state of the children and providing the emotionally based support.

2. The system of claim 1.

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