System

Abstract

A system is provided.SOLUTION: A system for a non-school student to receive personalized learning assistance, comprising: means for receiving input user information; means for analyzing the user information and generating a personalized avatar comprising an ideal learning environment and assistance; and means for transmitting the generated avatar and related information to a user terminal.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] In recent years, the number of children and students who do not attend school has been increasing, and their loss of learning opportunities and anxiety about the future have become serious problems. Children and students who do not attend school suffer from a lack of a learning environment and lack of appropriate support, which causes them to continue to suffer from mental stress. Furthermore, there is also the issue that general learning support and counseling cannot fully address each individual situation. For this reason, there is a need for a system that allows children and students who do not attend school to receive a learning environment and support that is suited to their individual circumstances. [Means for solving the problem]

[0005] The present invention provides a system for providing personalized learning support based on user information, the system including the following means.

[0006] A means for receiving user information entered by children and students who are not attending school, with the aim of receiving learning support tailored to their own circumstances.

[0007] A means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support.

[0008] means for transmitting the generated avatar and related information to a user terminal;

[0009] Furthermore, it may include a means for providing users with optimized counseling and learning support using the avatar information, and a means for collecting feedback from users and reflecting it in the next avatar generation and learning support, thereby enabling children and students who are not attending school to receive the optimal learning environment and support and reduce anxiety about the future.

[0010] "School-refusing students" refer to junior and senior high school students who are unable to attend school and are absent for long periods of time.

[0011] "User information" refers to detailed information entered by students who are not attending school, such as their own situation, ideal school life, ideal teachers and students, etc.

[0012] "Personalized avatar" refers to a virtual character that is generated based on user information and optimized for each individual user, as well as the associated learning environment and support methods.

[0013] "Generative AI model" refers to a model that includes an artificial intelligence algorithm to analyze input user information and generate a personalized avatar.

[0014] "Analysis Module" refers to a program that formalizes user information and converts it into a format that can be processed by a generative AI model.

[0015] "User terminal" refers to a computer device (such as a PC or smartphone) used by a user to input information and receive generated avatar information.

[0016] "Counseling" refers to services that include psychological support and advice that users receive through personalized avatars.

[0017] "Learning support" refers to educational support such as creating a learning plan, explanations, and progress management that users receive through a personalized avatar.

[0018] "Feedback" refers to the impressions and suggestions for improvement provided by users after using the product.

[0019] "SSL communication" refers to a protocol that encrypts information during data communication to ensure data security. [Brief explanation of the drawings]

[0020] [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. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0021] 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.

[0022] First, the terms used in the following description will be explained.

[0023] 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, a 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), and an APU (Accelerated Processing Unit).

[0024] 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.

[0025] 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.

[0026] 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), Bluetooth (registered trademark), etc.

[0027] 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."

[0028] [First embodiment]

[0029] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0030] 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.

[0031] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0032] 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.

[0033] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. 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 acquires the data indicating the user input.

[0034] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The 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.

[0035] 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.

[0036] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0037] 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.

[0038] 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.

[0039] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0040] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0041] The present invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions, and generates personalized avatars based on user information. This system is specifically implemented as follows.

[0042] 1. Entering and submitting user information

[0043] Users access the application using their own PC or smartphone and enter the following information through the input form presented in the application.

[0044] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0045] Ideal school life (e.g., having fun with friends, a safe learning environment)

[0046] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0047] The entered information is sent from the device to the server, and is transmitted securely using encryption protocols such as SSL.

[0048] 2. Data Receipt and Analysis

[0049] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[0050] For example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[0051] 3. Generating personalized avatars

[0052] The server invokes a generative AI model based on the formatted data, which then generates a personalized avatar based on the user information. This avatar includes the following information:

[0053] The user's ideal learning environment

[0054] Ideal teacher and student character

[0055] A plan for necessary support and counseling

[0056] The generated avatar information is transmitted from the server to the terminal.

[0057] 4. Result Display and User Interaction

[0058] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. In addition, the user can receive the following support through the personalized avatar:

[0059] Counseling session

[0060] Providing learning support plans

[0061] Progress management and feedback

[0062] 5. Providing counselling and learning support

[0063] The device provides users with personalized counseling and learning support via an avatar. For example, an understanding teacher avatar can provide psychological support and advice on learning plans.

[0064] 6. Collecting and analyzing feedback

[0065] Users can provide feedback after using the system, which is sent from the device to the server and used to generate avatars and assist learning in the next round.

[0066] In this way, the present invention aims to provide a personalized learning environment and counseling so that students who are not attending school can receive the support that is best suited to them, thereby reducing their anxiety about the future.

[0067] The processing flow will be explained below.

[0068] Step 1:

[0069] Users access the application using a PC or smartphone and enter information such as the reason they cannot attend school, their ideal school life, and their ideal teachers and students.

[0070] Step 2:

[0071] The terminal collects the data entered by the user, encrypts it, and sends it to the server. This transmission is done securely using SSL communication or similar.

[0072] Step 3:

[0073] The server passes the received user data to an analytics module, which formalizes the information and converts it into a format that can be processed by the generative AI model.

[0074] Step 4:

[0075] The server uses the formatted data to invoke a generative AI model, which generates a personalized avatar based on the user information.

[0076] Step 5:

[0077] The server transmits the generated avatar and related information to the terminal.

[0078] Step 6:

[0079] The device displays the received avatar information on the screen, and the user can check the displayed avatar and customize it or provide feedback as needed.

[0080] Step 7:

[0081] The device provides users with counseling and learning support through an avatar, including psychological support and the provision of learning plans.

[0082] Step 8:

[0083] After using the system, users provide feedback, which is sent from their terminals to the server.

[0084] Step 9:

[0085] The server collects feedback data and reflects it in the next avatar generation and learning support, allowing the system to be continuously improved.

[0086] This detailed processing flow allows students who are not attending school to receive individually optimized learning environments and support, thereby reducing their anxiety about the future.

[0087] Example 1

[0088] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0089] Students who do not attend school face the challenge of finding a learning environment and support that is suited to their learning and psychological conditions. Each student has different problems, and optimal support is needed. However, traditional systems often fail to address individual needs and instead adopt a one-size-fits-all approach. This makes it difficult to provide effective support and learning environments for students.

[0090] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0091] In this invention, the server includes means for receiving input user information, means for analyzing the user information and converting the user's situation into a data format using an analysis module, means for generating a prompt sentence based on the formatted data, means for using the generated prompt sentence to generate a personalized avatar and related information using a generative AI model, and means for transmitting the generated avatar and related information to a user terminal, thereby making it possible to provide a learning environment and support that is individually optimized for each user.

[0092] "User information" is information entered by the user such as the reason why they cannot go to school, their ideal school life, and their ideal teachers and students.

[0093] An "analysis module" is a program or system that analyzes received user information and converts the user's situation into a data format.

[0094] "Data format" refers to data converted by the analysis module into a format that can be processed by the generative AI model.

[0095] A "prompt sentence" is an input sentence given to a generative AI model, and is generated based on formatted data.

[0096] A "generative AI model" is an artificial intelligence model that generates personalized avatars and related information based on prompt text.

[0097] An "avatar" is a digital character that embodies the user's ideal learning environment or support character.

[0098] "Related information" is information including various support and counseling plans associated with the avatar.

[0099] "User terminal" refers to devices such as PCs and smartphones used by users.

[0100] "Counseling methods" are methods that provide users with psychological support and advice on study plans through avatars.

[0101] The present invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. This system generates a personalized avatar based on input user information and provides the user with the optimal learning environment and support. Specific embodiments of the system are described below.

[0102] 1. Entering and submitting user information

[0103] The user accesses the application using their own PC or smartphone and enters the following information into the input form displayed in the application.

[0104] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0105] Ideal school life (e.g., having fun with friends, a safe learning environment)

[0106] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0107] The entered information is sent from the device to the server. This transmission is done securely using encryption protocols such as SSL communication. For example, if a user enters "I'm afraid of being bullied so I can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," when they press the send button, the data is encrypted and sent to the server.

[0108] 2. Data Receipt and Analysis

[0109] The server receives the user information. The analysis module then takes this information and converts it into data. For example, the server receives information such as "fear of bullying," "want to have fun with friends," and "have an understanding teacher," and the analysis module converts this information into formatted data such as "refusal to go to school due to psychological stress."

[0110] 3. Generate a prompt

[0111] The server then generates a prompt based on the data generated by the analysis module. This prompt serves as input for the generative AI model. For example, based on the data "school refusal due to psychological stress," "fun time with friends," and "understanding teacher," the server generates a prompt such as, "The reason I can't go to school is 'I'm afraid of bullying,' the ideal teacher is 'understanding and supportive,' and the ideal student is 'I want to have fun with friends.' Please generate an avatar based on this."

[0112] 4. Generating personalized avatars

[0113] The server passes the generated prompt to a generative AI model (e.g., GPT-4 (registered trademark)). The generative AI model generates an avatar that matches the user's information based on the prompt. For example, the generative AI model might generate an avatar that "provides a sense of security to protect against bullying," and the avatar might include characters such as an understanding teacher or a friendly classmate.

[0114] 5. Sending and Displaying Avatar Information

[0115] The avatar information generated by the generative AI model is sent to a server, and then encrypted and sent from the server to the device. The device then displays the received avatar information on the screen. For example, the avatar information sent from the server can be decrypted on the device, and avatars of an "understanding teacher" and a "group of friends having a good time" are displayed.

[0116] 6. Result Display and User Interaction

[0117] The device displays avatar information on the screen, and users can check the displayed avatar and customize it as needed. Users can also use the avatar to access counseling and learning support plans. For example, users can customize the displayed avatar and set it to "change the teacher's hair color."

[0118] 7. Providing counselling and learning support

[0119] The device provides individual counseling and learning support to users through an avatar. For example, an understanding teacher avatar might ask the user, "What's your study plan for today?", providing psychological support and advice on study plans.

[0120] 8. Collecting and Analyzing Feedback

[0121] Users can provide feedback after using the system. This feedback is sent from the device to the server and is used for the next avatar generation and learning support. For example, if a user inputs feedback such as "This counseling session was very helpful" and sends it to the server, it will be reflected in the next session.

[0122] Through the above process, the present invention aims to provide users with the optimal learning environment and support, thereby enabling students who are not attending school to receive the support that is best suited to them.

[0123] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0124] System program processing steps

[0125] Step 1:

[0126] Users access the application using their own PC or smartphone. They enter user information (such as reasons for not attending school, ideal school life, ideal teachers and students) into the input form displayed in the application. The entered information is sent from the device to the server. The transmission is secure using encryption protocols such as SSL communication.

[0127] Input: User information (reason for not going to school, ideal school life, information about ideal teachers and students)

[0128] Output: Encrypted user information sent to the server

[0129] As a specific example of how it works, when a user enters "I'm afraid of bullying," "I want to have fun with friends," or "I have an understanding teacher" into a smartphone app and presses the send button, the information is encrypted and sent to the server.

[0130] Step 2:

[0131] The server inputs the received user information into an analysis module and converts the user's situation into data format, such as "school refusal due to psychological stress," "desire to spend fun time with friends," or "understanding teacher."

[0132] Input: Encrypted user information

[0133] Output: Formatted data (e.g., "school absenteeism due to psychological stress")

[0134] As a specific example of how it works, the server receives information such as "I'm afraid of bullying," "I want to have fun with friends," and "I have an understanding teacher," and the analysis module converts each piece of information into "school refusal due to psychological stress."

[0135] Step 3:

[0136] The server generates prompt sentences based on the formatted data, which serve as inputs to the generative AI model.

[0137] Input: Formatted data

[0138] Output: prompt statement

[0139] As a specific example of operation, based on the formatted data "school refusal due to psychological stress," "desire to have fun with friends," and "understanding teacher," a prompt statement is generated that reads, "The reason I can't go to school is 'I'm afraid of bullying,' the ideal teacher is 'understanding and supportive,' and the ideal student is 'I want to have fun with friends.' Please generate an avatar based on this."

[0140] Step 4:

[0141] The server inputs the generated prompt sentence into the generative AI model, which generates a personalized avatar and related information based on the prompt sentence.

[0142] Input: prompt statement

[0143] Output: Generated avatar and related information

[0144] As a specific example of how it works, when the server sends a prompt message to the generative AI model, the model generates an avatar that "provides a sense of security to protect against bullying," including characters such as an understanding teacher or a friendly classmate.

[0145] Step 5:

[0146] The generated avatar and related information are sent from the server to the device in encrypted form.

[0147] Input: Generated avatar and related information

[0148] Output: Encrypted avatar and related information

[0149] As a specific example of operation, the server encrypts the generated avatar information and sends it to the device, which then decrypts it and displays to the user an "understanding teacher" and a "group of friends having fun."

[0150] Step 6:

[0151] The device displays the received avatar information on the screen, and the user can check the avatar and customize it as necessary. The user can also use the personalized avatar to implement counseling and learning support plans.

[0152] Input: Encrypted avatar and related information

[0153] Output: The avatar and related information displayed to the user

[0154] As a specific example of how it works, a user can view the avatar generated on their smartphone and customize it, such as by saying, "I want to change this teacher's hair color."

[0155] Step 7:

[0156] The device provides users with personalized counseling and learning support via an avatar, with an understanding teacher avatar offering psychological support and advice on learning plans.

[0157] Input: User-controlled avatar

[0158] Output: Individual counseling and learning support

[0159] As a specific example of how it works, an understanding teacher avatar might ask the user, "What would you like to do with your lesson plan today?"

[0160] Step 8:

[0161] After using the system, users provide feedback, which is sent from the device to the server and reflected in the next avatar generation and learning support.

[0162] Input: User feedback

[0163] Output: Data useful for next avatar generation and learning support

[0164] As a specific example of operation, when a user enters feedback such as "This counseling was very helpful" and presses the send button, that information is sent to the server so that it will be reflected the next time the user uses the service.

[0165] (Application example 1)

[0166] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0167] In this technical field, it is a challenge for students who are not attending school to receive effective learning support tailored to their individual circumstances. Furthermore, it is difficult for users to receive purchasing support and get recommendations for optimal products based on their preferences and needs, especially in virtual stores. To solve these challenges, personalized support based on user information is necessary, but existing systems cannot meet this requirement.

[0168] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0169] In this invention, the server includes means for receiving input user information, means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support, means for transmitting the generated avatar and related information to a user terminal, means for generating a personalized shopping assistant avatar based on the user information, and means for the generated shopping assistant avatar to suggest optimal products based on the user's preferences, purchase history, and current needs and provide purchasing support. This allows students who are not attending school to receive effective learning support, as well as personalized optimal product suggestions and purchasing support in virtual stores.

[0170] "School-refusing students" refer to students who, for some reason, find it difficult to attend school.

[0171] "User Information" refers to information provided by a user, such as personal information, learning status, psychological state, preferences, purchase history, and needs.

[0172] A "personalized avatar" is a virtual character that is individually customized based on user information.

[0173] A "Shopping Assistant Avatar" is a virtual character that suggests the most suitable products to users and provides purchasing support.

[0174] "Server" refers to a computer system that receives and analyzes user information and provides generated avatar information.

[0175] "User device" refers to a device that a user uses to access avatars and related information, such as a PC or smartphone.

[0176] "Analysis" refers to the process of processing and formatting submitted user information.

[0177] A "generative AI model" refers to an artificial intelligence algorithm that generates personalized avatars based on user information.

[0178] This invention is a system that aims to provide learning support tailored to the individual circumstances of students who are not attending school. Furthermore, by generating a personalized shopping assistant avatar based on user information, it is possible to provide optimal product suggestions and purchasing support in virtual stores.

[0179] System Configuration

[0180] The server includes the following means: First, a means for receiving input user information, which allows the user to access the application from their PC or smartphone and input the following information through an input form:

[0181] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0182] Ideal school life (e.g., having fun with friends, safe learning environment)

[0183] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0184] Preferences, purchase history, and current needs

[0185] User information is sent from the device to the server, and the transmission is secure using encryption protocols such as SSL.

[0186] Next, the server analyzes the user information and generates personalized avatar information that includes the ideal learning environment and support. The server analyzes the received user information and converts it into a format that can be processed by the generative AI model. The analyzed data is used by the generative AI model to generate a personalized avatar based on the user information. Specific generated information includes:

[0187] The user's ideal learning environment

[0188] Ideal teacher and student character

[0189] A plan for necessary support and counseling

[0190] Furthermore, the server also has a means for transmitting the generated avatar and related information to the user terminal. The generated avatar information is transmitted from the server to the terminal, and the user can view and customize it as needed.

[0191] Personalized Shopping Assistant Avatar

[0192] The server includes a means for generating a personalized shopping assistant avatar based on user information. Specifically, it suggests optimal products based on the user's preferences, past purchase history, and current needs, and provides purchasing support. The generated shopping assistant avatar operates as follows.

[0193] Proposing optimal products to users

[0194] Purchase support, product explanations, and usage suggestions

[0195] Hardware and software used

[0196] The following hardware and software are used in this system:

[0197] Hardware: PCs, smartphones, servers

[0198] Software: Python program, REST API, generative AI model

[0199] Specific examples

[0200] When a user accesses a virtual store using their smartphone, a personalized shopping assistant avatar is generated based on their preferences, purchase history, and current needs. The avatar then recommends the most suitable products for the user and provides instructions and additional information on how to use the products. For example, if a user is looking for "clothing suitable for the new season," the analysis module will interpret this as "items that fit this season's trends," and the avatar will suggest the most suitable products based on that.

[0201] Examples of prompts to input to a generative AI model include:

[0202] User Information:

[0203] Age: 25

[0204] Gender: Female

[0205] Past purchase history: cosmetics, fashion

[0206] Current needs: Clothing for the new season

[0207] System Request: Generate the best shopping assistant avatar for the user

[0208] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0209] Step 1:

[0210] A user accesses the application using their own PC or smartphone. The user enters their own information through an input form presented in the application. This information includes information such as the reason they cannot attend school, their ideal school life, their ideal teachers and students, their preferences, purchase history, and current needs. The entered information is sent from the user's device to the server. At this stage, the input is the user information, and the output is the sent user information.

[0211] Step 2:

[0212] The server inputs the received user information into an analysis module to formalize the user's situation. This analysis module converts the user information into a specific data format so that the generative AI model can process it. At this stage, the input is the transmitted user information, and the output is the formalized user information.

[0213] Step 3:

[0214] The server calls a generative AI model based on the formalized user information. The generative AI model generates a personalized avatar based on the user information. The generated avatar contains the following information: the ideal learning environment, the ideal teacher and student characters, and the necessary support and counseling plan. The input at this stage is the formalized user information, and the output is the generated avatar information.

[0215] Step 4:

[0216] The server sends the generated avatar information to the user's device, which then displays the received avatar information on its screen, allowing the user to review and customize it as needed. The input at this stage is the generated avatar information, and the output is the avatar information displayed on the user's device.

[0217] Step 5:

[0218] The server generates a personalized shopping assistant avatar based on user information. The generated shopping assistant avatar suggests optimal products based on the user's preferences, past purchase history, and current needs, and provides purchasing support. The input at this stage is formalized user information and prompts, and the output is the generated shopping assistant avatar information.

[0219] Step 6:

[0220] The shopping assistant avatar suggests the most suitable products to the user, explains the products, and provides purchasing support. The user can easily understand and purchase the products through the avatar. The input at this stage is the generated shopping assistant avatar information, and the output is the products suggested to the user and purchasing support information.

[0221] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0222] This invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. It generates a personalized avatar based on user information and combines it with an emotion engine that recognizes the user's emotions. This system is specifically implemented as follows.

[0223] 1. Entering and submitting user information

[0224] Users access the application using their own PC or smartphone and enter the following information through the input form presented in the application.

[0225] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0226] Ideal school life (e.g., having fun with friends, a safe learning environment)

[0227] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0228] The entered information is sent from the device to the server, and is transmitted securely using encryption protocols such as SSL.

[0229] 2. Data Receipt and Analysis

[0230] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[0231] For example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[0232] 3. Emotion Recognition by Emotion Engine

[0233] Before passing it to the generative AI model, the server analyzes the user's emotional state using an emotion engine, which analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize their current emotional state (e.g., anxiety, relief, sadness, joy).

[0234] 4. Generating personalized avatars

[0235] The server invokes the generative AI model based on the formatted data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar includes the following information:

[0236] The user's ideal learning environment

[0237] Ideal teacher and student character

[0238] A plan for necessary support and counseling

[0239] The generated avatar information is transmitted from the server to the terminal.

[0240] 5. Result Display and User Interaction

[0241] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. In addition, the user can receive the following support through the personalized avatar:

[0242] Counseling session

[0243] Providing learning support plans

[0244] Progress management and feedback

[0245] 6. Providing counselling and learning support

[0246] The device provides individual counseling and learning support to users through an avatar. The content of the counseling and learning support is adjusted based on emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[0247] 7. Collecting and analyzing feedback

[0248] Users can provide feedback after using the system. This feedback is sent from the device to the server and used for the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used for continuous system improvement.

[0249] This detailed processing flow allows students who are not attending school to receive individually optimized learning environments and support, and also provides support specific to their current emotional state, thereby reducing future anxiety.

[0250] The processing flow will be explained below.

[0251] Step 1:

[0252] Users access the application using a PC or smartphone and input the reasons for not being able to go to school (e.g., bullying, health problems, psychological stress), their ideal school life (e.g., wanting to spend time with friends, a safe learning environment), and their ideal teachers and students (e.g., understanding and supportive teachers, friendly classmates).

[0253] Step 2:

[0254] The terminal collects the data entered by the user, encrypts it via SSL communication, and sends it to the server.

[0255] Step 3:

[0256] The server passes the received user data to an analysis module, which formalizes the user's situation and converts it into a format that can be processed by the generative AI model.

[0257] Step 4:

[0258] The server receives the formatted data and passes it to the emotion engine, which analyzes the user's input data and real-time reactions (voice and facial expressions) to recognize the user's current emotional state (e.g., anxiety, relief, sadness, joy).

[0259] Step 5:

[0260] The server calls a generative AI model based on the analyzed format data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar includes the user's ideal learning environment, ideal teacher and student characters, and a plan for necessary support and counseling.

[0261] Step 6:

[0262] The server transmits the generated avatar and related information to the terminal.

[0263] Step 7:

[0264] The device displays the received avatar information on the screen, and the user can check the displayed avatar and customize it or provide feedback as needed.

[0265] Step 8:

[0266] The device provides counseling and learning support to the user through an avatar. The content of the counseling and learning support is adjusted based on the emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[0267] Step 9:

[0268] After using the system, users provide feedback, including which avatars were effective, which support was helpful, and areas for future improvement.

[0269] Step 10:

[0270] The device sends the user's feedback to the server, along with the emotion data collected by the emotion engine.

[0271] Step 11:

[0272] The server collects feedback data and emotion data and reflects it in the next avatar generation and learning support, allowing the system to continuously improve and provide users with the optimal learning environment and support.

[0273] This detailed process allows students who are not attending school to receive individually optimized learning environments and support. Furthermore, by providing support tailored to their current emotional state, future anxiety can be alleviated.

[0274] Example 2

[0275] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0276] Students who are not attending school face the challenge of receiving effective learning support tailored to their individual circumstances. Furthermore, there is a lack of systems that can properly understand students' psychological states and provide individually optimized counseling and learning support based on that understanding. Existing systems struggle to recognize users' emotions in real time and provide avatars and support that reflect that information. Furthermore, they lack the functionality to effectively collect user feedback and reflect it in future support sessions. As a result, students are unable to access a safe learning environment, and there are issues with insufficient academic and psychological support.

[0277] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for receiving input user information, a means for analyzing the user information and converting it into a format that can be processed by the generative AI model, and a means for generating personalized avatar information based on the converted user information and emotion information. This enables personalized assistance that is individually optimized based on the user's situation and emotion.

[0278] "User information" refers to personal information entered by the user, such as the reason why they cannot attend school, their ideal school life, and their ideal teachers and students.

[0279] A "generative AI model" is a model that includes machine learning algorithms for generating personalized avatars based on user information and emotional information.

[0280] The "emotion engine" is an engine that analyzes the user's input data and real-time reactions (voice, facial expressions, etc.) to recognize the user's current emotional state.

[0281] "Personalized avatar information" is data that includes an avatar that visually represents the user's ideal learning environment and support plan, as well as related information.

[0282] "Customization" refers to a user's ability to adjust or modify their avatar and related information to suit their needs and preferences.

[0283] "Feedback" refers to information such as opinions, impressions, and suggestions for improvement that users provide after using the system.

[0284] A "user terminal" is a device such as a PC or smartphone that a user uses to access and operate the system.

[0285] The "server" is a central control system that analyzes the received user information, generates personalized avatar information, and sends it to the user's terminal.

[0286] "Cryptographic Protocol" means the communications protocol (e.g., SSL / TLS) used to securely transmit data.

[0287] The present invention is a system that aims to provide optimal support to students who are not attending school, based on their learning situation and psychological state. This system generates a personalized avatar based on user information and combines it with an emotion engine that recognizes the user's emotions. A specific embodiment of this system is described below.

[0288] Entering and submitting user information

[0289] Users access a specific application using their PC or smartphone. The application has an input form where users input reasons for not attending school (e.g., bullying, health issues, psychological stress), ideal school life (e.g., having fun with friends, a safe learning environment), and ideal teachers and students (e.g., understanding and supportive teachers, friendly classmates). The input information is securely transmitted from the device to the server using encryption protocols such as SSL / TLS.

[0290] Data reception and analysis

[0291] The server receives user information sent from the device and analyzes it using an analysis module. The analysis results are converted into a specific data format (e.g., JSON format) so that the generative AI model can process them. For example, if a user inputs, "I can't go to school because I'm afraid of being bullied," or "I want to have fun with my friends," the analysis module will format this information.

[0292] Emotion recognition by emotion engine

[0293] The server then activates an emotion engine that analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize the user's current emotional state (e.g., anxiety, relief, sadness, joy). For example, in the case of voice analysis, the engine analyzes the pitch and tone of the voice to determine the emotion.

[0294] Generate personalized avatars

[0295] The server inputs the analyzed user information and emotional information into a generative AI model. Based on this data, the generative AI model generates a personalized avatar that includes the user's ideal learning environment, ideal teacher and student characters, and a plan for necessary support and counseling. For example, an "understanding and supportive teacher" would be represented as an avatar with a kind-looking teacher character. The generated avatar information is sent from the server to the device and also saved in a database.

[0296] Result display and user interaction

[0297] The device receives the avatar information sent from the server and displays it on the user's screen. The user can further customize the displayed avatar, for example, by changing the avatar's clothing or background.

[0298] Providing counselling and learning support

[0299] The device provides individual counseling and learning support to users through an avatar, including real-time chat and video calling. The support provided is dynamically adjusted based on emotions recognized by an emotion engine. For example, if the user is feeling anxious, reassuring advice and messages will be enhanced.

[0300] Collecting and analyzing feedback

[0301] After using the system, users use a form to enter feedback. The entered feedback is sent from the device to the server and stored in a database. The server analyzes the collected feedback and the emotional data recognized by the emotion engine, and the results of this analysis are used to generate the next avatar and improve learning support.

[0302] Specific examples

[0303] Examples of specific prompt sentences include the following:

[0304] 1. "I would like to know what measures I can take to reduce my psychological stress."

[0305] 2. "What should I do if I can't go to school because of bullying?"

[0306] 3. "I would like to know how to create a safe and friendly learning environment."

[0307] By inputting this prompt into a generative AI model, the user is provided with the most appropriate assistance and advice.

[0308] The above is an embodiment of the present invention, and the detailed processing flow of this system allows students who are not attending school to receive an individually optimized learning environment and support. In addition, since support that is adapted to emotions is provided in real time, it is expected that users will feel more secure and satisfied.

[0309] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0310] Step 1:

[0311] A user accesses an application using a PC or smartphone. A login screen is displayed, and the user enters their account information to log in. Once the user logs in, an input form is displayed next.

[0312] Input: User account information, reason for not attending school, ideal school life, ideal teacher and student

[0313] Output: Data with user information entered

[0314] Step 2:

[0315] The terminal sends the data entered by the user in the input form to the server using an encryption protocol such as SSL / TLS. Once the transmission is complete, the user is shown a confirmation message.

[0316] Input: Data entered by the user

[0317] Output: The encrypted data is sent to the server

[0318] Step 3:

[0319] The server receives the user information sent from the device and temporarily stores it in a database. Then, it starts an analysis module to analyze the user information and convert it into a specific data format (e.g., JSON format).

[0320] Input: Encrypted user information

[0321] Output: Parsed data format

[0322] Specific operation: For example, if "Mr. A" inputs "I can't go to school because I'm afraid of being bullied," the analysis module will format this information as "Reason: Bullying, Condition: Can't go to school."

[0323] Step 4:

[0324] The server inputs the analyzed user information into an emotion engine to analyze the user's emotional state. The emotion engine analyzes the user's text data, voice, facial expressions, etc. to recognize the user's current emotional state.

[0325] Input: User information in parsed data format

[0326] Output: Perceived emotional state (e.g., anxiety, relief, sadness, joy)

[0327] Specific operation: When analyzing voice data, the emotion engine analyzes the pitch and tone of the voice to determine whether the person is in an anxious state.

[0328] Step 5:

[0329] The server inputs the analyzed user information and emotional information into a generative AI model, which generates a personalized avatar based on the user's ideal learning environment and support.

[0330] Input: Parsed data and perceived emotional state

[0331] Output: Personalized avatar information

[0332] Specific behavior: For example, the generative AI model generates a character called an "understanding and supportive teacher" and represents it as an avatar.

[0333] Step 6:

[0334] The server sends the generated personalized avatar information to the terminal, and then stores this information in a database.

[0335] Input: Personalized avatar information

[0336] Output: Avatar information sent to the device

[0337] Step 7:

[0338] The terminal receives the avatar information sent from the server and displays it on the user's screen, allowing the user to customize the displayed avatar.

[0339] Input: Avatar information sent from the server

[0340] Output: Avatar displayed on the user's screen

[0341] What it does: Users can change and customize their avatar's clothing and background.

[0342] Step 8:

[0343] The device provides users with personalized counseling and learning support via an avatar, dynamically adjusting the content based on their emotional state.

[0344] Input: User's customization information and emotional state

[0345] Output: Counselling and learning support provided

[0346] Specific behavior: For example, if the user is feeling anxious, reassuring advice will be displayed on the screen.

[0347] Step 9:

[0348] After using the system, users can access a form to provide feedback and enter their opinions, thoughts, and suggestions for improvement.

[0349] Input: User feedback

[0350] Output: Input feedback

[0351] Step 10:

[0352] The device sends the input feedback to the server, which stores it in a database and analyzes it to reflect in the next avatar generation and learning support.

[0353] Input: User feedback

[0354] Output: Feedback information stored on the server

[0355] Specific actions: For example, if feedback is received such as "I would like more support to make me feel more secure," this will be reflected in the content of the next counseling session.

[0356] (Application example 2)

[0357] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0358] Conventional learning support systems for students who are not attending school lack the ability to provide personalized support tailored to each user's situation, and it is particularly difficult to recognize emotional states in real time and provide support based on that. Furthermore, conventional systems lack the functionality to collect user feedback and reflect that information in the next support session, making continuous improvement difficult.

[0359] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input user information, means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support, means for analyzing the user's emotions using an emotion engine that recognizes the user's emotional state, means for transmitting the generated avatar and related information to the user terminal, and interaction means for displaying the generated avatar on the terminal and allowing the user to customize it. This makes it possible to provide optimal learning support and counseling that corresponds to the individual situation and emotional state of each user.

[0360] "School absentee students" refer to students who are unable to attend school due to psychological, social, or physical reasons.

[0361] "Inputted user information" refers to data provided by the user to the system, such as their own situation and ideal learning environment.

[0362] "Personalized avatar" refers to a virtual character that is individually customized based on collected user information and emotional data.

[0363] An "emotion engine" refers to software or algorithms that analyze user input data and real-time reactions to recognize their emotional state.

[0364] "User terminal" refers to a device through which a user accesses an application, such as a smartphone, smart glasses, or head-mounted display.

[0365] "Interaction means" refers to the user interface and methods of operation that allow a user to interact with and customize the displayed avatar.

[0366] "Customization" refers to the act of a user changing the appearance of a personalized avatar and the services provided to suit their own preferences.

[0367] "Feedback" refers to the evaluations and opinions provided by users after using the system, including information that will be reflected in the next avatar generation and learning support.

[0368] "Learning support" refers to a wide range of support services provided to students who are not attending school, such as providing teaching materials, managing their learning progress, and counseling.

[0369] This invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. The system includes various means for receiving and analyzing input user information and generating personalized avatar information based on that information. It also uses an emotion engine to recognize the user's emotional state and provide counseling and learning support based on that information.

[0370] The overall system configuration consists of the following elements:

[0371] 1. Enter and submit user information:

[0372] Users access the application using their own devices such as smartphones, smart glasses, or head-mounted displays. The application displays an input form in which users enter information such as their own situation, ideal learning environment, and ideal support staff. The entered information is then sent from the device to the server. The transmission is secure using encryption protocols such as SSL communication.

[0373] 2. Data Receipt and Analysis:

[0374] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[0375] As a concrete example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[0376] 3. Emotion Recognition with Emotion Engine:

[0377] Before passing it to the generative AI model, the server analyzes the user's emotional state using an emotion engine, which analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize their current emotional state (e.g., anxiety, relief, sadness, joy).

[0378] 4. Generate personalized avatars:

[0379] The server calls the generative AI model based on the formatted data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar contains the following information: the user's ideal learning environment, ideal teacher and student characters, and the necessary support and counseling plan. The generated avatar information is sent from the server to the device.

[0380] 5. Result display and user interaction:

[0381] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. Through the personalized avatar, the user can also receive counseling sessions, learning support plans, and learning progress management and feedback.

[0382] 6. Providing counselling and learning support:

[0383] The device provides individual counseling and learning support to users through an avatar. The content of the counseling and learning support is adjusted based on emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[0384] 7. Feedback Collection and Analysis:

[0385] Users can provide feedback after using the system. This feedback is sent from the device to the server and used for the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used for continuous system improvement.

[0386] For example, user information is input based on the following information: the reason for school refusal is "I can't go to school because I'm afraid of bullying," the ideal environment is "having fun time with friends," and the ideal support is "an understanding and supportive teacher."The system then recognizes the user's emotional state as "anxiety" in real time.The generative AI model then generates a personalized avatar, and the counseling and learning support provided to the user is adjusted according to the user's emotional state.

[0387] Examples of prompt statements include "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "The ideal teacher would be someone who is understanding and supportive," which allows for more specific and tailored support to be provided.

[0388] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0389] Step 1:

[0390] Users access the application using their smartphone, smart glasses, or head-mounted display. They enter user information such as the reason they cannot attend school, their ideal learning environment, and their ideal support staff through an input form. The information entered is securely transmitted to the server using SSL communication.

[0391] Input: User's personal information (reason for not attending school, ideal learning environment, ideal support staff)

[0392] Output: User information encrypted with SSL communication

[0393] Step 2:

[0394] The server analyzes the received user information. This information is formalized by the analysis module and converted into a format that can be processed by the generative AI model. When converting into data format, tags and categorization are performed based on the input information.

[0395] Input: User information sent via SSL communication

[0396] Output: Formatted user information (tagged, categorized)

[0397] Step 3:

[0398] The server uses the formalized user information to activate the emotion engine, which analyzes the user's emotions. The emotion engine analyzes voice data, text data, facial expression images, etc. to determine the user's current emotional state.

[0399] Input: Formalized user information, real-time user response data (voice, facial expressions)

[0400] Output: Perceived emotional state (e.g., anxiety, relief, sadness, joy)

[0401] Step 4:

[0402] The server combines the formalized user information with the emotional information recognized by the emotion engine and calls the generative AI model, which then generates personalized avatar information, including the ideal learning environment and support plan.

[0403] Input: Formalized user information, perceived emotional state

[0404] Output: personalized avatar information

[0405] Step 5:

[0406] The server sends the generated avatar information to the user's device using SSL communication, where it is displayed on the device's screen and can be customized by the user.

[0407] Input: Personalized avatar information

[0408] Output: Avatar information sent to the user's device

[0409] Step 6:

[0410] The device displays the received avatar information, and the user can review the avatar and customize it as needed. Through this avatar, they can receive counseling sessions and learning support.

[0411] Input: Submitted avatar information

[0412] Output: customized avatars, access to counseling and learning support

[0413] Step 7:

[0414] After using the system, users provide feedback. This feedback is sent from the device to the server and reflected in the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used to continuously improve the system.

[0415] Input: User feedback

[0416] Output: Feedback data that can be used for the next avatar generation and learning support

[0417] 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.

[0418] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[0419] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0420] [Second embodiment]

[0421] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0422] 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.

[0423] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0424] 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.

[0425] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0426] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0427] 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.

[0428] 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.

[0429] 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 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.

[0430] 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.

[0431] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0432] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0433] The present invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions, and generates personalized avatars based on user information. This system is specifically implemented as follows.

[0434] 1. Entering and submitting user information

[0435] Users access the application using their own PC or smartphone and enter the following information through the input form presented in the application.

[0436] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0437] Ideal school life (e.g., having fun with friends, a safe learning environment)

[0438] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0439] The entered information is sent from the device to the server, and is transmitted securely using encryption protocols such as SSL.

[0440] 2. Data Receipt and Analysis

[0441] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[0442] For example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[0443] 3. Generating personalized avatars

[0444] The server invokes a generative AI model based on the formatted data, which then generates a personalized avatar based on the user information. This avatar includes the following information:

[0445] The user's ideal learning environment

[0446] Ideal teacher and student character

[0447] A plan for necessary support and counseling

[0448] The generated avatar information is transmitted from the server to the terminal.

[0449] 4. Result Display and User Interaction

[0450] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. In addition, the user can receive the following support through the personalized avatar:

[0451] Counseling session

[0452] Providing learning support plans

[0453] Progress management and feedback

[0454] 5. Providing counselling and learning support

[0455] The device provides users with personalized counseling and learning support via an avatar. For example, an understanding teacher avatar can provide psychological support and advice on learning plans.

[0456] 6. Collecting and analyzing feedback

[0457] Users can provide feedback after using the system, which is sent from the device to the server and used to generate avatars and assist learning in the next round.

[0458] In this way, the present invention aims to provide a personalized learning environment and counseling so that students who are not attending school can receive the support that is best suited to them, thereby reducing their anxiety about the future.

[0459] The processing flow will be explained below.

[0460] Step 1:

[0461] Users access the application using a PC or smartphone and enter information such as the reason they cannot attend school, their ideal school life, and their ideal teachers and students.

[0462] Step 2:

[0463] The terminal collects the data entered by the user, encrypts it, and sends it to the server. This transmission is done securely using SSL communication or similar.

[0464] Step 3:

[0465] The server passes the received user data to an analytics module, which formalizes the information and converts it into a format that can be processed by the generative AI model.

[0466] Step 4:

[0467] The server uses the formatted data to invoke a generative AI model, which generates a personalized avatar based on the user information.

[0468] Step 5:

[0469] The server transmits the generated avatar and related information to the terminal.

[0470] Step 6:

[0471] The device displays the received avatar information on the screen, and the user can check the displayed avatar and customize it or provide feedback as needed.

[0472] Step 7:

[0473] The device provides users with counseling and learning support through an avatar, including psychological support and the provision of learning plans.

[0474] Step 8:

[0475] After using the system, users provide feedback, which is sent from their terminals to the server.

[0476] Step 9:

[0477] The server collects feedback data and reflects it in the next avatar generation and learning support, allowing the system to be continuously improved.

[0478] This detailed processing flow allows students who are not attending school to receive individually optimized learning environments and support, thereby reducing their anxiety about the future.

[0479] Example 1

[0480] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0481] Students who do not attend school face the challenge of finding a learning environment and support that is suited to their learning and psychological conditions. Each student has different problems, and optimal support is needed. However, traditional systems often fail to address individual needs and instead adopt a one-size-fits-all approach. This makes it difficult to provide effective support and learning environments for students.

[0482] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0483] In this invention, the server includes means for receiving input user information, means for analyzing the user information and converting the user's situation into a data format using an analysis module, means for generating a prompt sentence based on the formatted data, means for using the generated prompt sentence to generate a personalized avatar and related information using a generative AI model, and means for transmitting the generated avatar and related information to a user terminal, thereby making it possible to provide a learning environment and support that is individually optimized for each user.

[0484] "User information" is information entered by the user such as the reason why they cannot go to school, their ideal school life, and their ideal teachers and students.

[0485] An "analysis module" is a program or system that analyzes received user information and converts the user's situation into a data format.

[0486] "Data format" refers to data converted by the analysis module into a format that can be processed by the generative AI model.

[0487] A "prompt sentence" is an input sentence given to a generative AI model, and is generated based on formatted data.

[0488] A "generative AI model" is an artificial intelligence model that generates personalized avatars and related information based on prompt text.

[0489] An "avatar" is a digital character that embodies the user's ideal learning environment or support character.

[0490] "Related information" is information including various support and counseling plans associated with the avatar.

[0491] "User terminal" refers to devices such as PCs and smartphones used by users.

[0492] "Counseling methods" are methods that provide users with psychological support and advice on study plans through avatars.

[0493] The present invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. This system generates a personalized avatar based on input user information and provides the user with the optimal learning environment and support. Specific embodiments of the system are described below.

[0494] 1. Entering and submitting user information

[0495] The user accesses the application using their own PC or smartphone and enters the following information into the input form displayed in the application.

[0496] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0497] Ideal school life (e.g., having fun with friends, a safe learning environment)

[0498] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0499] The entered information is sent from the device to the server. This transmission is done securely using encryption protocols such as SSL communication. For example, if a user enters "I'm afraid of being bullied so I can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," when they press the send button, the data is encrypted and sent to the server.

[0500] 2. Data Receipt and Analysis

[0501] The server receives the user information. The analysis module then takes this information and converts it into data. For example, the server receives information such as "fear of bullying," "want to have fun with friends," and "have an understanding teacher," and the analysis module converts this information into formatted data such as "refusal to go to school due to psychological stress."

[0502] 3. Generate a prompt

[0503] The server then generates a prompt based on the data generated by the analysis module. This prompt serves as input for the generative AI model. For example, based on the data "school refusal due to psychological stress," "fun time with friends," and "understanding teacher," the server generates a prompt such as, "The reason I can't go to school is 'I'm afraid of bullying,' the ideal teacher is 'understanding and supportive,' and the ideal student is 'I want to have fun with friends.' Please generate an avatar based on this."

[0504] 4. Generating personalized avatars

[0505] The server passes the generated prompt to a generative AI model (e.g., GPT-4), which generates an avatar that matches the user's information based on the prompt. For example, the generative AI model might generate an avatar that "provides a sense of security to protect against bullying," and the avatar might include characters like an understanding teacher or a friendly classmate.

[0506] 5. Sending and Displaying Avatar Information

[0507] The avatar information generated by the generative AI model is sent to a server, and then encrypted and sent from the server to the device. The device then displays the received avatar information on the screen. For example, the avatar information sent from the server can be decrypted on the device, and avatars of an "understanding teacher" and a "group of friends having a good time" are displayed.

[0508] 6. Result Display and User Interaction

[0509] The device displays avatar information on the screen, and users can check the displayed avatar and customize it as needed. Users can also use the avatar to access counseling and learning support plans. For example, users can customize the displayed avatar and set it to "change the teacher's hair color."

[0510] 7. Providing counselling and learning support

[0511] The device provides individual counseling and learning support to users through an avatar. For example, an understanding teacher avatar might ask the user, "What's your study plan for today?", providing psychological support and advice on study plans.

[0512] 8. Collecting and Analyzing Feedback

[0513] Users can provide feedback after using the system. This feedback is sent from the device to the server and is used for the next avatar generation and learning support. For example, if a user inputs feedback such as "This counseling session was very helpful" and sends it to the server, it will be reflected in the next session.

[0514] Through the above process, the present invention aims to provide users with the optimal learning environment and support, thereby enabling students who are not attending school to receive the support that is best suited to them.

[0515] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0516] System program processing steps

[0517] Step 1:

[0518] Users access the application using their own PC or smartphone. They enter user information (such as reasons for not attending school, ideal school life, ideal teachers and students) into the input form displayed in the application. The entered information is sent from the device to the server. The transmission is secure using encryption protocols such as SSL communication.

[0519] Input: User information (reason for not going to school, ideal school life, information about ideal teachers and students)

[0520] Output: Encrypted user information sent to the server

[0521] As a specific example of how it works, when a user enters "I'm afraid of bullying," "I want to have fun with friends," or "I have an understanding teacher" into a smartphone app and presses the send button, the information is encrypted and sent to the server.

[0522] Step 2:

[0523] The server inputs the received user information into an analysis module and converts the user's situation into data format, such as "school refusal due to psychological stress," "desire to spend fun time with friends," or "understanding teacher."

[0524] Input: Encrypted user information

[0525] Output: Formatted data (e.g., "school absenteeism due to psychological stress")

[0526] As a specific example of how it works, the server receives information such as "I'm afraid of bullying," "I want to have fun with friends," and "I have an understanding teacher," and the analysis module converts each piece of information into "school refusal due to psychological stress."

[0527] Step 3:

[0528] The server generates prompt sentences based on the formatted data, which serve as inputs to the generative AI model.

[0529] Input: Formatted data

[0530] Output: prompt statement

[0531] As a specific example of operation, based on the formatted data "school refusal due to psychological stress," "desire to have fun with friends," and "understanding teacher," a prompt statement is generated that reads, "The reason I can't go to school is 'I'm afraid of bullying,' the ideal teacher is 'understanding and supportive,' and the ideal student is 'I want to have fun with friends.' Please generate an avatar based on this."

[0532] Step 4:

[0533] The server inputs the generated prompt sentence into the generative AI model, which generates a personalized avatar and related information based on the prompt sentence.

[0534] Input: prompt statement

[0535] Output: Generated avatar and related information

[0536] As a specific example of how it works, when the server sends a prompt message to the generative AI model, the model generates an avatar that "provides a sense of security to protect against bullying," including characters such as an understanding teacher or a friendly classmate.

[0537] Step 5:

[0538] The generated avatar and related information are sent from the server to the device in encrypted form.

[0539] Input: Generated avatar and related information

[0540] Output: Encrypted avatar and related information

[0541] As a specific example of operation, the server encrypts the generated avatar information and sends it to the device, which then decrypts it and displays to the user an "understanding teacher" and a "group of friends having fun."

[0542] Step 6:

[0543] The device displays the received avatar information on the screen, and the user can check the avatar and customize it as necessary. The user can also use the personalized avatar to implement counseling and learning support plans.

[0544] Input: Encrypted avatar and related information

[0545] Output: The avatar and related information displayed to the user

[0546] As a specific example of how it works, a user can view the avatar generated on their smartphone and customize it, such as by saying, "I want to change this teacher's hair color."

[0547] Step 7:

[0548] The device provides users with personalized counseling and learning support via an avatar, with an understanding teacher avatar offering psychological support and advice on learning plans.

[0549] Input: User-controlled avatar

[0550] Output: Individual counseling and learning support

[0551] As a specific example of how it works, an understanding teacher avatar might ask the user, "What would you like to do with your lesson plan today?"

[0552] Step 8:

[0553] After using the system, users provide feedback, which is sent from the device to the server and reflected in the next avatar generation and learning support.

[0554] Input: User feedback

[0555] Output: Data useful for next avatar generation and learning support

[0556] As a specific example of operation, when a user enters feedback such as "This counseling was very helpful" and presses the send button, that information is sent to the server so that it will be reflected the next time the user uses the service.

[0557] (Application example 1)

[0558] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0559] In this technical field, it is a challenge for students who are not attending school to receive effective learning support tailored to their individual circumstances. Furthermore, it is difficult for users to receive purchasing support and get recommendations for optimal products based on their preferences and needs, especially in virtual stores. To solve these challenges, personalized support based on user information is necessary, but existing systems cannot meet this requirement.

[0560] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0561] In this invention, the server includes means for receiving input user information, means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support, means for transmitting the generated avatar and related information to a user terminal, means for generating a personalized shopping assistant avatar based on the user information, and means for the generated shopping assistant avatar to suggest optimal products based on the user's preferences, purchase history, and current needs and provide purchasing support. This allows students who are not attending school to receive effective learning support, as well as personalized optimal product suggestions and purchasing support in virtual stores.

[0562] "School-refusing students" refer to students who, for some reason, find it difficult to attend school.

[0563] "User Information" refers to information provided by a user, such as personal information, learning status, psychological state, preferences, purchase history, and needs.

[0564] A "personalized avatar" is a virtual character that is individually customized based on user information.

[0565] A "Shopping Assistant Avatar" is a virtual character that suggests the most suitable products to users and provides purchasing support.

[0566] "Server" refers to a computer system that receives and analyzes user information and provides generated avatar information.

[0567] "User device" refers to a device that a user uses to access avatars and related information, such as a PC or smartphone.

[0568] "Analysis" refers to the process of processing and formatting submitted user information.

[0569] A "generative AI model" refers to an artificial intelligence algorithm that generates personalized avatars based on user information.

[0570] This invention is a system that aims to provide learning support tailored to the individual circumstances of students who are not attending school. Furthermore, by generating a personalized shopping assistant avatar based on user information, it is possible to provide optimal product suggestions and purchasing support in virtual stores.

[0571] System Configuration

[0572] The server includes the following means: First, a means for receiving input user information, which allows the user to access the application from their PC or smartphone and input the following information through an input form:

[0573] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0574] Ideal school life (e.g., having fun with friends, safe learning environment)

[0575] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0576] Preferences, purchase history, and current needs

[0577] User information is sent from the device to the server, and the transmission is secure using encryption protocols such as SSL.

[0578] Next, the server analyzes the user information and generates personalized avatar information that includes the ideal learning environment and support. The server analyzes the received user information and converts it into a format that can be processed by the generative AI model. The analyzed data is used by the generative AI model to generate a personalized avatar based on the user information. Specific generated information includes:

[0579] The user's ideal learning environment

[0580] Ideal teacher and student character

[0581] A plan for necessary support and counseling

[0582] Furthermore, the server also has a means for transmitting the generated avatar and related information to the user terminal. The generated avatar information is transmitted from the server to the terminal, and the user can view and customize it as needed.

[0583] Personalized Shopping Assistant Avatar

[0584] The server includes a means for generating a personalized shopping assistant avatar based on user information. Specifically, it suggests optimal products based on the user's preferences, past purchase history, and current needs, and provides purchasing support. The generated shopping assistant avatar operates as follows.

[0585] Proposing optimal products to users

[0586] Purchase support, product explanations, and usage suggestions

[0587] Hardware and software used

[0588] The following hardware and software are used in this system:

[0589] Hardware: PCs, smartphones, servers

[0590] Software: Python program, REST API, generative AI model

[0591] Specific examples

[0592] When a user accesses a virtual store using their smartphone, a personalized shopping assistant avatar is generated based on their preferences, purchase history, and current needs. The avatar then recommends the most suitable products for the user and provides instructions and additional information on how to use the products. For example, if a user is looking for "clothing suitable for the new season," the analysis module will interpret this as "items that fit this season's trends," and the avatar will suggest the most suitable products based on that.

[0593] Examples of prompts to input to a generative AI model include:

[0594] User Information:

[0595] Age: 25

[0596] Gender: Female

[0597] Past purchase history: cosmetics, fashion

[0598] Current needs: Clothing for the new season

[0599] System Request: Generate the best shopping assistant avatar for the user

[0600] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0601] Step 1:

[0602] A user accesses the application using their own PC or smartphone. The user enters their own information through an input form presented in the application. This information includes information such as the reason they cannot attend school, their ideal school life, their ideal teachers and students, their preferences, purchase history, and current needs. The entered information is sent from the user's device to the server. At this stage, the input is the user information, and the output is the sent user information.

[0603] Step 2:

[0604] The server inputs the received user information into an analysis module to formalize the user's situation. This analysis module converts the user information into a specific data format so that the generative AI model can process it. At this stage, the input is the transmitted user information, and the output is the formalized user information.

[0605] Step 3:

[0606] The server calls a generative AI model based on the formalized user information. The generative AI model generates a personalized avatar based on the user information. The generated avatar contains the following information: the ideal learning environment, the ideal teacher and student characters, and the necessary support and counseling plan. The input at this stage is the formalized user information, and the output is the generated avatar information.

[0607] Step 4:

[0608] The server sends the generated avatar information to the user's device, which then displays the received avatar information on its screen, allowing the user to review and customize it as needed. The input at this stage is the generated avatar information, and the output is the avatar information displayed on the user's device.

[0609] Step 5:

[0610] The server generates a personalized shopping assistant avatar based on user information. The generated shopping assistant avatar suggests optimal products based on the user's preferences, past purchase history, and current needs, and provides purchasing support. The input at this stage is formalized user information and prompts, and the output is the generated shopping assistant avatar information.

[0611] Step 6:

[0612] The shopping assistant avatar suggests the most suitable products to the user, explains the products, and provides purchasing support. The user can easily understand and purchase the products through the avatar. The input at this stage is the generated shopping assistant avatar information, and the output is the products suggested to the user and purchasing support information.

[0613] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0614] This invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. It generates a personalized avatar based on user information and combines it with an emotion engine that recognizes the user's emotions. This system is specifically implemented as follows.

[0615] 1. Entering and submitting user information

[0616] Users access the application using their own PC or smartphone and enter the following information through the input form presented in the application.

[0617] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0618] Ideal school life (e.g., having fun with friends, a safe learning environment)

[0619] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0620] The entered information is sent from the device to the server, and is transmitted securely using encryption protocols such as SSL.

[0621] 2. Data Receipt and Analysis

[0622] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[0623] For example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[0624] 3. Emotion Recognition by Emotion Engine

[0625] Before passing it to the generative AI model, the server analyzes the user's emotional state using an emotion engine, which analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize their current emotional state (e.g., anxiety, relief, sadness, joy).

[0626] 4. Generating personalized avatars

[0627] The server invokes the generative AI model based on the formatted data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar includes the following information:

[0628] The user's ideal learning environment

[0629] Ideal teacher and student character

[0630] A plan for necessary support and counseling

[0631] The generated avatar information is transmitted from the server to the terminal.

[0632] 5. Result Display and User Interaction

[0633] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. In addition, the user can receive the following support through the personalized avatar:

[0634] Counseling session

[0635] Providing learning support plans

[0636] Progress management and feedback

[0637] 6. Providing counselling and learning support

[0638] The device provides individual counseling and learning support to users through an avatar. The content of the counseling and learning support is adjusted based on emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[0639] 7. Collecting and analyzing feedback

[0640] Users can provide feedback after using the system. This feedback is sent from the device to the server and used for the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used for continuous system improvement.

[0641] This detailed processing flow allows students who are not attending school to receive individually optimized learning environments and support, and also provides support specific to their current emotional state, thereby reducing future anxiety.

[0642] The processing flow will be explained below.

[0643] Step 1:

[0644] Users access the application using a PC or smartphone and input the reasons for not being able to go to school (e.g., bullying, health problems, psychological stress), their ideal school life (e.g., wanting to spend time with friends, a safe learning environment), and their ideal teachers and students (e.g., understanding and supportive teachers, friendly classmates).

[0645] Step 2:

[0646] The terminal collects the data entered by the user, encrypts it via SSL communication, and sends it to the server.

[0647] Step 3:

[0648] The server passes the received user data to an analysis module, which formalizes the user's situation and converts it into a format that can be processed by the generative AI model.

[0649] Step 4:

[0650] The server receives the formatted data and passes it to the emotion engine, which analyzes the user's input data and real-time reactions (voice and facial expressions) to recognize the user's current emotional state (e.g., anxiety, relief, sadness, joy).

[0651] Step 5:

[0652] The server calls a generative AI model based on the analyzed format data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar includes the user's ideal learning environment, ideal teacher and student characters, and a plan for necessary support and counseling.

[0653] Step 6:

[0654] The server transmits the generated avatar and related information to the terminal.

[0655] Step 7:

[0656] The device displays the received avatar information on the screen, and the user can check the displayed avatar and customize it or provide feedback as needed.

[0657] Step 8:

[0658] The device provides counseling and learning support to the user through an avatar. The content of the counseling and learning support is adjusted based on the emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[0659] Step 9:

[0660] After using the system, users provide feedback, including which avatars were effective, which support was helpful, and areas for future improvement.

[0661] Step 10:

[0662] The device sends the user's feedback to the server, along with the emotion data collected by the emotion engine.

[0663] Step 11:

[0664] The server collects feedback data and emotion data and reflects it in the next avatar generation and learning support, allowing the system to continuously improve and provide users with the optimal learning environment and support.

[0665] This detailed process allows students who are not attending school to receive individually optimized learning environments and support. Furthermore, by providing support tailored to their current emotional state, future anxiety can be alleviated.

[0666] Example 2

[0667] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0668] Students who are not attending school face the challenge of receiving effective learning support tailored to their individual circumstances. Furthermore, there is a lack of systems that can properly understand students' psychological states and provide individually optimized counseling and learning support based on that understanding. Existing systems struggle to recognize users' emotions in real time and provide avatars and support that reflect that information. Furthermore, they lack the functionality to effectively collect user feedback and reflect it in future support sessions. As a result, students are unable to access a safe learning environment, and there are issues with insufficient academic and psychological support.

[0669] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for receiving input user information, a means for analyzing the user information and converting it into a format that can be processed by the generative AI model, and a means for generating personalized avatar information based on the converted user information and emotion information. This enables personalized assistance that is individually optimized based on the user's situation and emotion.

[0670] "User information" refers to personal information entered by the user, such as the reason why they cannot attend school, their ideal school life, and their ideal teachers and students.

[0671] A "generative AI model" is a model that includes machine learning algorithms for generating personalized avatars based on user information and emotional information.

[0672] The "emotion engine" is an engine that analyzes the user's input data and real-time reactions (voice, facial expressions, etc.) to recognize the user's current emotional state.

[0673] "Personalized avatar information" is data that includes an avatar that visually represents the user's ideal learning environment and support plan, as well as related information.

[0674] "Customization" refers to a user's ability to adjust or modify their avatar and related information to suit their needs and preferences.

[0675] "Feedback" refers to information such as opinions, impressions, and suggestions for improvement that users provide after using the system.

[0676] A "user terminal" is a device such as a PC or smartphone that a user uses to access and operate the system.

[0677] The "server" is a central control system that analyzes the received user information, generates personalized avatar information, and sends it to the user's terminal.

[0678] "Cryptographic Protocol" means the communications protocol (e.g., SSL / TLS) used to securely transmit data.

[0679] The present invention is a system that aims to provide optimal support to students who are not attending school, based on their learning situation and psychological state. This system generates a personalized avatar based on user information and combines it with an emotion engine that recognizes the user's emotions. A specific embodiment of this system is described below.

[0680] Entering and submitting user information

[0681] Users access a specific application using their PC or smartphone. The application has an input form where users input reasons for not attending school (e.g., bullying, health issues, psychological stress), ideal school life (e.g., having fun with friends, a safe learning environment), and ideal teachers and students (e.g., understanding and supportive teachers, friendly classmates). The input information is securely transmitted from the device to the server using encryption protocols such as SSL / TLS.

[0682] Data reception and analysis

[0683] The server receives user information sent from the device and analyzes it using an analysis module. The analysis results are converted into a specific data format (e.g., JSON format) so that the generative AI model can process them. For example, if a user inputs, "I can't go to school because I'm afraid of being bullied," or "I want to have fun with my friends," the analysis module will format this information.

[0684] Emotion recognition by emotion engine

[0685] The server then activates an emotion engine that analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize the user's current emotional state (e.g., anxiety, relief, sadness, joy). For example, in the case of voice analysis, the engine analyzes the pitch and tone of the voice to determine the emotion.

[0686] Generate personalized avatars

[0687] The server inputs the analyzed user information and emotional information into a generative AI model. Based on this data, the generative AI model generates a personalized avatar that includes the user's ideal learning environment, ideal teacher and student characters, and a plan for necessary support and counseling. For example, an "understanding and supportive teacher" would be represented as an avatar with a kind-looking teacher character. The generated avatar information is sent from the server to the device and also saved in a database.

[0688] Result display and user interaction

[0689] The device receives the avatar information sent from the server and displays it on the user's screen. The user can further customize the displayed avatar, for example, by changing the avatar's clothing or background.

[0690] Providing counselling and learning support

[0691] The device provides individual counseling and learning support to users through an avatar, including real-time chat and video calling. The support provided is dynamically adjusted based on emotions recognized by an emotion engine. For example, if the user is feeling anxious, reassuring advice and messages will be enhanced.

[0692] Collecting and analyzing feedback

[0693] After using the system, users use a form to enter feedback. The entered feedback is sent from the device to the server and stored in a database. The server analyzes the collected feedback and the emotional data recognized by the emotion engine, and the results of this analysis are used to generate the next avatar and improve learning support.

[0694] Specific examples

[0695] Examples of specific prompt sentences include the following:

[0696] 1. "I would like to know what measures I can take to reduce my psychological stress."

[0697] 2. "What should I do if I can't go to school because of bullying?"

[0698] 3. "I would like to know how to create a safe and friendly learning environment."

[0699] By inputting this prompt into a generative AI model, the user is provided with the most appropriate assistance and advice.

[0700] The above is an embodiment of the present invention, and the detailed processing flow of this system allows students who are not attending school to receive an individually optimized learning environment and support. In addition, since support that is adapted to emotions is provided in real time, it is expected that users will feel more secure and satisfied.

[0701] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0702] Step 1:

[0703] A user accesses an application using a PC or smartphone. A login screen is displayed, and the user enters their account information to log in. Once the user logs in, an input form is displayed next.

[0704] Input: User account information, reason for not attending school, ideal school life, ideal teacher and student

[0705] Output: Data with user information entered

[0706] Step 2:

[0707] The terminal sends the data entered by the user in the input form to the server using an encryption protocol such as SSL / TLS. Once the transmission is complete, the user is shown a confirmation message.

[0708] Input: Data entered by the user

[0709] Output: The encrypted data is sent to the server

[0710] Step 3:

[0711] The server receives the user information sent from the device and temporarily stores it in a database. Then, it starts an analysis module to analyze the user information and convert it into a specific data format (e.g., JSON format).

[0712] Input: Encrypted user information

[0713] Output: Parsed data format

[0714] Specific operation: For example, if "Mr. A" inputs "I can't go to school because I'm afraid of being bullied," the analysis module will format this information as "Reason: Bullying, Condition: Can't go to school."

[0715] Step 4:

[0716] The server inputs the analyzed user information into an emotion engine to analyze the user's emotional state. The emotion engine analyzes the user's text data, voice, facial expressions, etc. to recognize the user's current emotional state.

[0717] Input: User information in parsed data format

[0718] Output: Perceived emotional state (e.g., anxiety, relief, sadness, joy)

[0719] Specific operation: When analyzing voice data, the emotion engine analyzes the pitch and tone of the voice to determine whether the person is in an anxious state.

[0720] Step 5:

[0721] The server inputs the analyzed user information and emotional information into a generative AI model, which generates a personalized avatar based on the user's ideal learning environment and support.

[0722] Input: Parsed data and perceived emotional state

[0723] Output: Personalized avatar information

[0724] Specific behavior: For example, the generative AI model generates a character called an "understanding and supportive teacher" and represents it as an avatar.

[0725] Step 6:

[0726] The server sends the generated personalized avatar information to the terminal, and then stores this information in a database.

[0727] Input: Personalized avatar information

[0728] Output: Avatar information sent to the device

[0729] Step 7:

[0730] The terminal receives the avatar information sent from the server and displays it on the user's screen, allowing the user to customize the displayed avatar.

[0731] Input: Avatar information sent from the server

[0732] Output: Avatar displayed on the user's screen

[0733] What it does: Users can change and customize their avatar's clothing and background.

[0734] Step 8:

[0735] The device provides users with personalized counseling and learning support via an avatar, dynamically adjusting the content based on their emotional state.

[0736] Input: User's customization information and emotional state

[0737] Output: Counselling and learning support provided

[0738] Specific behavior: For example, if the user is feeling anxious, reassuring advice will be displayed on the screen.

[0739] Step 9:

[0740] After using the system, users can access a form to provide feedback and enter their opinions, thoughts, and suggestions for improvement.

[0741] Input: User feedback

[0742] Output: Input feedback

[0743] Step 10:

[0744] The device sends the input feedback to the server, which stores it in a database and analyzes it to reflect in the next avatar generation and learning support.

[0745] Input: User feedback

[0746] Output: Feedback information stored on the server

[0747] Specific actions: For example, if feedback is received such as "I would like more support to make me feel more secure," this will be reflected in the content of the next counseling session.

[0748] (Application example 2)

[0749] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0750] Conventional learning support systems for students who are not attending school lack the ability to provide personalized support tailored to each user's situation, and it is particularly difficult to recognize emotional states in real time and provide support based on that. Furthermore, conventional systems lack the functionality to collect user feedback and reflect that information in the next support session, making continuous improvement difficult.

[0751] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input user information, means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support, means for analyzing the user's emotions using an emotion engine that recognizes the user's emotional state, means for transmitting the generated avatar and related information to the user terminal, and interaction means for displaying the generated avatar on the terminal and allowing the user to customize it. This makes it possible to provide optimal learning support and counseling that corresponds to the individual situation and emotional state of each user.

[0752] "School absentee students" refer to students who are unable to attend school due to psychological, social, or physical reasons.

[0753] "Inputted user information" refers to data provided by the user to the system, such as their own situation and ideal learning environment.

[0754] "Personalized avatar" refers to a virtual character that is individually customized based on collected user information and emotional data.

[0755] An "emotion engine" refers to software or algorithms that analyze user input data and real-time reactions to recognize their emotional state.

[0756] "User terminal" refers to a device through which a user accesses an application, such as a smartphone, smart glasses, or head-mounted display.

[0757] "Interaction means" refers to the user interface and methods of operation that allow a user to interact with and customize the displayed avatar.

[0758] "Customization" refers to the act of a user changing the appearance of a personalized avatar and the services provided to suit their own preferences.

[0759] "Feedback" refers to the evaluations and opinions provided by users after using the system, including information that will be reflected in the next avatar generation and learning support.

[0760] "Learning support" refers to a wide range of support services provided to students who are not attending school, such as providing teaching materials, managing their learning progress, and counseling.

[0761] This invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. The system includes various means for receiving and analyzing input user information and generating personalized avatar information based on that information. It also uses an emotion engine to recognize the user's emotional state and provide counseling and learning support based on that information.

[0762] The overall system configuration consists of the following elements:

[0763] 1. Enter and submit user information:

[0764] Users access the application using their own devices such as smartphones, smart glasses, or head-mounted displays. The application displays an input form in which users enter information such as their own situation, ideal learning environment, and ideal support staff. The entered information is then sent from the device to the server. The transmission is secure using encryption protocols such as SSL communication.

[0765] 2. Data Receipt and Analysis:

[0766] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[0767] As a concrete example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[0768] 3. Emotion Recognition with Emotion Engine:

[0769] Before passing it to the generative AI model, the server analyzes the user's emotional state using an emotion engine, which analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize their current emotional state (e.g., anxiety, relief, sadness, joy).

[0770] 4. Generate personalized avatars:

[0771] The server calls the generative AI model based on the formatted data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar contains the following information: the user's ideal learning environment, ideal teacher and student characters, and the necessary support and counseling plan. The generated avatar information is sent from the server to the device.

[0772] 5. Result display and user interaction:

[0773] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. Through the personalized avatar, the user can also receive counseling sessions, learning support plans, and learning progress management and feedback.

[0774] 6. Providing counselling and learning support:

[0775] The device provides individual counseling and learning support to users through an avatar. The content of the counseling and learning support is adjusted based on emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[0776] 7. Feedback Collection and Analysis:

[0777] Users can provide feedback after using the system. This feedback is sent from the device to the server and used for the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used for continuous system improvement.

[0778] For example, user information is input based on the following information: the reason for school refusal is "I can't go to school because I'm afraid of bullying," the ideal environment is "having fun time with friends," and the ideal support is "an understanding and supportive teacher."The system then recognizes the user's emotional state as "anxiety" in real time.The generative AI model then generates a personalized avatar, and the counseling and learning support provided to the user is adjusted according to the user's emotional state.

[0779] Examples of prompt statements include "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "The ideal teacher would be someone who is understanding and supportive," which allows for more specific and tailored support to be provided.

[0780] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0781] Step 1:

[0782] Users access the application using their smartphone, smart glasses, or head-mounted display. They enter user information such as the reason they cannot attend school, their ideal learning environment, and their ideal support staff through an input form. The information entered is securely transmitted to the server using SSL communication.

[0783] Input: User's personal information (reason for not attending school, ideal learning environment, ideal support staff)

[0784] Output: User information encrypted with SSL communication

[0785] Step 2:

[0786] The server analyzes the received user information. This information is formalized by the analysis module and converted into a format that can be processed by the generative AI model. When converting into data format, tags and categorization are performed based on the input information.

[0787] Input: User information sent via SSL communication

[0788] Output: Formatted user information (tagged, categorized)

[0789] Step 3:

[0790] The server uses the formalized user information to activate the emotion engine, which analyzes the user's emotions. The emotion engine analyzes voice data, text data, facial expression images, etc. to determine the user's current emotional state.

[0791] Input: Formalized user information, real-time user response data (voice, facial expressions)

[0792] Output: Perceived emotional state (e.g., anxiety, relief, sadness, joy)

[0793] Step 4:

[0794] The server combines the formalized user information with the emotional information recognized by the emotion engine and calls the generative AI model, which then generates personalized avatar information, including the ideal learning environment and support plan.

[0795] Input: Formalized user information, perceived emotional state

[0796] Output: personalized avatar information

[0797] Step 5:

[0798] The server sends the generated avatar information to the user's device using SSL communication, where it is displayed on the device's screen and can be customized by the user.

[0799] Input: Personalized avatar information

[0800] Output: Avatar information sent to the user's device

[0801] Step 6:

[0802] The device displays the received avatar information, and the user can review the avatar and customize it as needed. Through this avatar, they can receive counseling sessions and learning support.

[0803] Input: Submitted avatar information

[0804] Output: customized avatars, access to counseling and learning support

[0805] Step 7:

[0806] After using the system, users provide feedback. This feedback is sent from the device to the server and reflected in the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used to continuously improve the system.

[0807] Input: User feedback

[0808] Output: Feedback data that can be used for the next avatar generation and learning support

[0809] 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.

[0810] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[0811] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0812] [Third embodiment]

[0813] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0814] 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.

[0815] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0816] 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.

[0817] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0818] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0819] 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.

[0820] 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.

[0821] 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 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.

[0822] 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.

[0823] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0824] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0825] The present invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions, and generates personalized avatars based on user information. This system is specifically implemented as follows.

[0826] 1. Entering and submitting user information

[0827] Users access the application using their own PC or smartphone and enter the following information through the input form presented in the application.

[0828] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0829] Ideal school life (e.g., having fun with friends, a safe learning environment)

[0830] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0831] The entered information is sent from the device to the server, and is transmitted securely using encryption protocols such as SSL.

[0832] 2. Data Receipt and Analysis

[0833] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[0834] For example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[0835] 3. Generating personalized avatars

[0836] The server invokes a generative AI model based on the formatted data, which then generates a personalized avatar based on the user information. This avatar includes the following information:

[0837] The user's ideal learning environment

[0838] Ideal teacher and student character

[0839] A plan for necessary support and counseling

[0840] The generated avatar information is transmitted from the server to the terminal.

[0841] 4. Result Display and User Interaction

[0842] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. In addition, the user can receive the following support through the personalized avatar:

[0843] Counseling session

[0844] Providing learning support plans

[0845] Progress management and feedback

[0846] 5. Providing counselling and learning support

[0847] The device provides users with personalized counseling and learning support via an avatar. For example, an understanding teacher avatar can provide psychological support and advice on learning plans.

[0848] 6. Collecting and analyzing feedback

[0849] Users can provide feedback after using the system, which is sent from the device to the server and used to generate avatars and assist learning in the next round.

[0850] In this way, the present invention aims to provide a personalized learning environment and counseling so that students who are not attending school can receive the support that is best suited to them, thereby reducing their anxiety about the future.

[0851] The processing flow will be explained below.

[0852] Step 1:

[0853] Users access the application using a PC or smartphone and enter information such as the reason they cannot attend school, their ideal school life, and their ideal teachers and students.

[0854] Step 2:

[0855] The terminal collects the data entered by the user, encrypts it, and sends it to the server. This transmission is done securely using SSL communication or similar.

[0856] Step 3:

[0857] The server passes the received user data to an analytics module, which formalizes the information and converts it into a format that can be processed by the generative AI model.

[0858] Step 4:

[0859] The server uses the formatted data to invoke a generative AI model, which generates a personalized avatar based on the user information.

[0860] Step 5:

[0861] The server transmits the generated avatar and related information to the terminal.

[0862] Step 6:

[0863] The device displays the received avatar information on the screen, and the user can check the displayed avatar and customize it or provide feedback as needed.

[0864] Step 7:

[0865] The device provides users with counseling and learning support through an avatar, including psychological support and the provision of learning plans.

[0866] Step 8:

[0867] After using the system, users provide feedback, which is sent from their terminals to the server.

[0868] Step 9:

[0869] The server collects feedback data and reflects it in the next avatar generation and learning support, allowing the system to be continuously improved.

[0870] This detailed processing flow allows students who are not attending school to receive individually optimized learning environments and support, thereby reducing their anxiety about the future.

[0871] Example 1

[0872] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0873] Students who do not attend school face the challenge of finding a learning environment and support that is suited to their learning and psychological conditions. Each student has different problems, and optimal support is needed. However, traditional systems often fail to address individual needs and instead adopt a one-size-fits-all approach. This makes it difficult to provide effective support and learning environments for students.

[0874] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0875] In this invention, the server includes means for receiving input user information, means for analyzing the user information and converting the user's situation into a data format using an analysis module, means for generating a prompt sentence based on the formatted data, means for using the generated prompt sentence to generate a personalized avatar and related information using a generative AI model, and means for transmitting the generated avatar and related information to a user terminal, thereby making it possible to provide a learning environment and support that is individually optimized for each user.

[0876] "User information" is information entered by the user such as the reason why they cannot go to school, their ideal school life, and their ideal teachers and students.

[0877] An "analysis module" is a program or system that analyzes received user information and converts the user's situation into a data format.

[0878] "Data format" refers to data converted by the analysis module into a format that can be processed by the generative AI model.

[0879] A "prompt sentence" is an input sentence given to a generative AI model, and is generated based on formatted data.

[0880] A "generative AI model" is an artificial intelligence model that generates personalized avatars and related information based on prompt text.

[0881] An "avatar" is a digital character that embodies the user's ideal learning environment or support character.

[0882] "Related information" is information including various support and counseling plans associated with the avatar.

[0883] "User terminal" refers to devices such as PCs and smartphones used by users.

[0884] "Counseling methods" are methods that provide users with psychological support and advice on study plans through avatars.

[0885] The present invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. This system generates a personalized avatar based on input user information and provides the user with the optimal learning environment and support. Specific embodiments of the system are described below.

[0886] 1. Entering and submitting user information

[0887] The user accesses the application using their own PC or smartphone and enters the following information into the input form displayed in the application.

[0888] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0889] Ideal school life (e.g., having fun with friends, a safe learning environment)

[0890] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0891] The entered information is sent from the device to the server. This transmission is done securely using encryption protocols such as SSL communication. For example, if a user enters "I'm afraid of being bullied so I can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," when they press the send button, the data is encrypted and sent to the server.

[0892] 2. Data Receipt and Analysis

[0893] The server receives the user information. The analysis module then takes this information and converts it into data. For example, the server receives information such as "fear of bullying," "want to have fun with friends," and "have an understanding teacher," and the analysis module converts this information into formatted data such as "refusal to go to school due to psychological stress."

[0894] 3. Generate a prompt

[0895] The server then generates a prompt based on the data generated by the analysis module. This prompt serves as input for the generative AI model. For example, based on the data "school refusal due to psychological stress," "fun time with friends," and "understanding teacher," the server generates a prompt such as, "The reason I can't go to school is 'I'm afraid of bullying,' the ideal teacher is 'understanding and supportive,' and the ideal student is 'I want to have fun with friends.' Please generate an avatar based on this."

[0896] 4. Generating personalized avatars

[0897] The server passes the generated prompt to a generative AI model (e.g., GPT-4), which generates an avatar that matches the user's information based on the prompt. For example, the generative AI model might generate an avatar that "provides a sense of security to protect against bullying," and the avatar might include characters like an understanding teacher or a friendly classmate.

[0898] 5. Sending and Displaying Avatar Information

[0899] The avatar information generated by the generative AI model is sent to a server, and then encrypted and sent from the server to the device. The device then displays the received avatar information on the screen. For example, the avatar information sent from the server can be decrypted on the device, and avatars of an "understanding teacher" and a "group of friends having a good time" are displayed.

[0900] 6. Result Display and User Interaction

[0901] The device displays avatar information on the screen, and users can check the displayed avatar and customize it as needed. Users can also use the avatar to access counseling and learning support plans. For example, users can customize the displayed avatar and set it to "change the teacher's hair color."

[0902] 7. Providing counselling and learning support

[0903] The device provides individual counseling and learning support to users through an avatar. For example, an understanding teacher avatar might ask the user, "What's your study plan for today?", providing psychological support and advice on study plans.

[0904] 8. Collecting and Analyzing Feedback

[0905] Users can provide feedback after using the system. This feedback is sent from the device to the server and is used for the next avatar generation and learning support. For example, if a user inputs feedback such as "This counseling session was very helpful" and sends it to the server, it will be reflected in the next session.

[0906] Through the above process, the present invention aims to provide users with the optimal learning environment and support, thereby enabling students who are not attending school to receive the support that is best suited to them.

[0907] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0908] System program processing steps

[0909] Step 1:

[0910] Users access the application using their own PC or smartphone. They enter user information (such as reasons for not attending school, ideal school life, ideal teachers and students) into the input form displayed in the application. The entered information is sent from the device to the server. The transmission is secure using encryption protocols such as SSL communication.

[0911] Input: User information (reason for not going to school, ideal school life, information about ideal teachers and students)

[0912] Output: Encrypted user information sent to the server

[0913] As a specific example of how it works, when a user enters "I'm afraid of bullying," "I want to have fun with friends," or "I have an understanding teacher" into a smartphone app and presses the send button, the information is encrypted and sent to the server.

[0914] Step 2:

[0915] The server inputs the received user information into an analysis module and converts the user's situation into data format, such as "school refusal due to psychological stress," "desire to spend fun time with friends," or "understanding teacher."

[0916] Input: Encrypted user information

[0917] Output: Formatted data (e.g., "school absenteeism due to psychological stress")

[0918] As a specific example of how it works, the server receives information such as "I'm afraid of bullying," "I want to have fun with friends," and "I have an understanding teacher," and the analysis module converts each piece of information into "school refusal due to psychological stress."

[0919] Step 3:

[0920] The server generates prompt sentences based on the formatted data, which serve as inputs to the generative AI model.

[0921] Input: Formatted data

[0922] Output: prompt statement

[0923] As a specific example of operation, based on the formatted data "school refusal due to psychological stress," "desire to have fun with friends," and "understanding teacher," a prompt statement is generated that reads, "The reason I can't go to school is 'I'm afraid of bullying,' the ideal teacher is 'understanding and supportive,' and the ideal student is 'I want to have fun with friends.' Please generate an avatar based on this."

[0924] Step 4:

[0925] The server inputs the generated prompt sentence into the generative AI model, which generates a personalized avatar and related information based on the prompt sentence.

[0926] Input: prompt statement

[0927] Output: Generated avatar and related information

[0928] As a specific example of how it works, when the server sends a prompt message to the generative AI model, the model generates an avatar that "provides a sense of security to protect against bullying," including characters such as an understanding teacher or a friendly classmate.

[0929] Step 5:

[0930] The generated avatar and related information are sent from the server to the device in encrypted form.

[0931] Input: Generated avatar and related information

[0932] Output: Encrypted avatar and related information

[0933] As a specific example of operation, the server encrypts the generated avatar information and sends it to the device, which then decrypts it and displays to the user an "understanding teacher" and a "group of friends having fun."

[0934] Step 6:

[0935] The device displays the received avatar information on the screen, and the user can check the avatar and customize it as necessary. The user can also use the personalized avatar to implement counseling and learning support plans.

[0936] Input: Encrypted avatar and related information

[0937] Output: The avatar and related information displayed to the user

[0938] As a specific example of how it works, a user can view the avatar generated on their smartphone and customize it, such as by saying, "I want to change this teacher's hair color."

[0939] Step 7:

[0940] The device provides users with personalized counseling and learning support via an avatar, with an understanding teacher avatar offering psychological support and advice on learning plans.

[0941] Input: User-controlled avatar

[0942] Output: Individual counseling and learning support

[0943] As a specific example of how it works, an understanding teacher avatar might ask the user, "What would you like to do with your lesson plan today?"

[0944] Step 8:

[0945] After using the system, users provide feedback, which is sent from the device to the server and reflected in the next avatar generation and learning support.

[0946] Input: User feedback

[0947] Output: Data useful for next avatar generation and learning support

[0948] As a specific example of operation, when a user enters feedback such as "This counseling was very helpful" and presses the send button, that information is sent to the server so that it will be reflected the next time the user uses the service.

[0949] (Application example 1)

[0950] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0951] In this technical field, it is a challenge for students who are not attending school to receive effective learning support tailored to their individual circumstances. Furthermore, it is difficult for users to receive purchasing support and get recommendations for optimal products based on their preferences and needs, especially in virtual stores. To solve these challenges, personalized support based on user information is necessary, but existing systems cannot meet this requirement.

[0952] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0953] In this invention, the server includes means for receiving input user information, means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support, means for transmitting the generated avatar and related information to a user terminal, means for generating a personalized shopping assistant avatar based on the user information, and means for the generated shopping assistant avatar to suggest optimal products based on the user's preferences, purchase history, and current needs and provide purchasing support. This allows students who are not attending school to receive effective learning support, as well as personalized optimal product suggestions and purchasing support in virtual stores.

[0954] "School-refusing students" refer to students who, for some reason, find it difficult to attend school.

[0955] "User Information" refers to information provided by a user, such as personal information, learning status, psychological state, preferences, purchase history, and needs.

[0956] A "personalized avatar" is a virtual character that is individually customized based on user information.

[0957] A "Shopping Assistant Avatar" is a virtual character that suggests the most suitable products to users and provides purchasing support.

[0958] "Server" refers to a computer system that receives and analyzes user information and provides generated avatar information.

[0959] "User device" refers to a device that a user uses to access avatars and related information, such as a PC or smartphone.

[0960] "Analysis" refers to the process of processing and formatting submitted user information.

[0961] A "generative AI model" refers to an artificial intelligence algorithm that generates personalized avatars based on user information.

[0962] This invention is a system that aims to provide learning support tailored to the individual circumstances of students who are not attending school. Furthermore, by generating a personalized shopping assistant avatar based on user information, it is possible to provide optimal product suggestions and purchasing support in virtual stores.

[0963] System Configuration

[0964] The server includes the following means: First, a means for receiving input user information, which allows the user to access the application from their PC or smartphone and input the following information through an input form:

[0965] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[0966] Ideal school life (e.g., having fun with friends, safe learning environment)

[0967] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[0968] Preferences, purchase history, and current needs

[0969] User information is sent from the device to the server, and the transmission is secure using encryption protocols such as SSL.

[0970] Next, the server analyzes the user information and generates personalized avatar information that includes the ideal learning environment and support. The server analyzes the received user information and converts it into a format that can be processed by the generative AI model. The analyzed data is used by the generative AI model to generate a personalized avatar based on the user information. Specific generated information includes:

[0971] The user's ideal learning environment

[0972] Ideal teacher and student character

[0973] A plan for necessary support and counseling

[0974] Furthermore, the server also has a means for transmitting the generated avatar and related information to the user terminal. The generated avatar information is transmitted from the server to the terminal, and the user can view and customize it as needed.

[0975] Personalized Shopping Assistant Avatar

[0976] The server includes a means for generating a personalized shopping assistant avatar based on user information. Specifically, it suggests optimal products based on the user's preferences, past purchase history, and current needs, and provides purchasing support. The generated shopping assistant avatar operates as follows.

[0977] Proposing optimal products to users

[0978] Purchase support, product explanations, and usage suggestions

[0979] Hardware and software used

[0980] The following hardware and software are used in this system:

[0981] Hardware: PCs, smartphones, servers

[0982] Software: Python program, REST API, generative AI model

[0983] Specific examples

[0984] When a user accesses a virtual store using their smartphone, a personalized shopping assistant avatar is generated based on their preferences, purchase history, and current needs. The avatar then recommends the most suitable products for the user and provides instructions and additional information on how to use the products. For example, if a user is looking for "clothing suitable for the new season," the analysis module will interpret this as "items that fit this season's trends," and the avatar will suggest the most suitable products based on that.

[0985] Examples of prompts to input to a generative AI model include:

[0986] User Information:

[0987] Age: 25

[0988] Gender: Female

[0989] Past purchase history: cosmetics, fashion

[0990] Current needs: Clothing for the new season

[0991] System Request: Generate the best shopping assistant avatar for the user

[0992] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0993] Step 1:

[0994] A user accesses the application using their own PC or smartphone. The user enters their own information through an input form presented in the application. This information includes information such as the reason they cannot attend school, their ideal school life, their ideal teachers and students, their preferences, purchase history, and current needs. The entered information is sent from the user's device to the server. At this stage, the input is the user information, and the output is the sent user information.

[0995] Step 2:

[0996] The server inputs the received user information into an analysis module to formalize the user's situation. This analysis module converts the user information into a specific data format so that the generative AI model can process it. At this stage, the input is the transmitted user information, and the output is the formalized user information.

[0997] Step 3:

[0998] The server calls a generative AI model based on the formalized user information. The generative AI model generates a personalized avatar based on the user information. The generated avatar contains the following information: the ideal learning environment, the ideal teacher and student characters, and the necessary support and counseling plan. The input at this stage is the formalized user information, and the output is the generated avatar information.

[0999] Step 4:

[1000] The server sends the generated avatar information to the user's device, which then displays the received avatar information on its screen, allowing the user to review and customize it as needed. The input at this stage is the generated avatar information, and the output is the avatar information displayed on the user's device.

[1001] Step 5:

[1002] The server generates a personalized shopping assistant avatar based on user information. The generated shopping assistant avatar suggests optimal products based on the user's preferences, past purchase history, and current needs, and provides purchasing support. The input at this stage is formalized user information and prompts, and the output is the generated shopping assistant avatar information.

[1003] Step 6:

[1004] The shopping assistant avatar suggests the most suitable products to the user, explains the products, and provides purchasing support. The user can easily understand and purchase the products through the avatar. The input at this stage is the generated shopping assistant avatar information, and the output is the products suggested to the user and purchasing support information.

[1005] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1006] This invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. It generates a personalized avatar based on user information and combines it with an emotion engine that recognizes the user's emotions. This system is specifically implemented as follows.

[1007] 1. Entering and submitting user information

[1008] Users access the application using their own PC or smartphone and enter the following information through the input form presented in the application.

[1009] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[1010] Ideal school life (e.g., having fun with friends, a safe learning environment)

[1011] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[1012] The entered information is sent from the device to the server, and is transmitted securely using encryption protocols such as SSL.

[1013] 2. Data Receipt and Analysis

[1014] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[1015] For example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[1016] 3. Emotion Recognition by Emotion Engine

[1017] Before passing it to the generative AI model, the server analyzes the user's emotional state using an emotion engine, which analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize their current emotional state (e.g., anxiety, relief, sadness, joy).

[1018] 4. Generating personalized avatars

[1019] The server invokes the generative AI model based on the formatted data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar includes the following information:

[1020] The user's ideal learning environment

[1021] Ideal teacher and student character

[1022] A plan for necessary support and counseling

[1023] The generated avatar information is transmitted from the server to the terminal.

[1024] 5. Result Display and User Interaction

[1025] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. In addition, the user can receive the following support through the personalized avatar:

[1026] Counseling session

[1027] Providing learning support plans

[1028] Progress management and feedback

[1029] 6. Providing counselling and learning support

[1030] The device provides individual counseling and learning support to users through an avatar. The content of the counseling and learning support is adjusted based on emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[1031] 7. Collecting and analyzing feedback

[1032] Users can provide feedback after using the system. This feedback is sent from the device to the server and used for the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used for continuous system improvement.

[1033] This detailed processing flow allows students who are not attending school to receive individually optimized learning environments and support, and also provides support specific to their current emotional state, thereby reducing future anxiety.

[1034] The processing flow will be explained below.

[1035] Step 1:

[1036] Users access the application using a PC or smartphone and input the reasons for not being able to go to school (e.g., bullying, health problems, psychological stress), their ideal school life (e.g., wanting to spend time with friends, a safe learning environment), and their ideal teachers and students (e.g., understanding and supportive teachers, friendly classmates).

[1037] Step 2:

[1038] The terminal collects the data entered by the user, encrypts it via SSL communication, and sends it to the server.

[1039] Step 3:

[1040] The server passes the received user data to an analysis module, which formalizes the user's situation and converts it into a format that can be processed by the generative AI model.

[1041] Step 4:

[1042] The server receives the formatted data and passes it to the emotion engine, which analyzes the user's input data and real-time reactions (voice and facial expressions) to recognize the user's current emotional state (e.g., anxiety, relief, sadness, joy).

[1043] Step 5:

[1044] The server calls a generative AI model based on the analyzed format data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar includes the user's ideal learning environment, ideal teacher and student characters, and a plan for necessary support and counseling.

[1045] Step 6:

[1046] The server transmits the generated avatar and related information to the terminal.

[1047] Step 7:

[1048] The device displays the received avatar information on the screen, and the user can check the displayed avatar and customize it or provide feedback as needed.

[1049] Step 8:

[1050] The device provides counseling and learning support to the user through an avatar. The content of the counseling and learning support is adjusted based on the emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[1051] Step 9:

[1052] After using the system, users provide feedback, including which avatars were effective, which support was helpful, and areas for future improvement.

[1053] Step 10:

[1054] The device sends the user's feedback to the server, along with the emotion data collected by the emotion engine.

[1055] Step 11:

[1056] The server collects feedback data and emotion data and reflects it in the next avatar generation and learning support, allowing the system to continuously improve and provide users with the optimal learning environment and support.

[1057] This detailed process allows students who are not attending school to receive individually optimized learning environments and support. Furthermore, by providing support tailored to their current emotional state, future anxiety can be alleviated.

[1058] Example 2

[1059] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1060] Students who are not attending school face the challenge of receiving effective learning support tailored to their individual circumstances. Furthermore, there is a lack of systems that can properly understand students' psychological states and provide individually optimized counseling and learning support based on that understanding. Existing systems struggle to recognize users' emotions in real time and provide avatars and support that reflect that information. Furthermore, they lack the functionality to effectively collect user feedback and reflect it in future support sessions. As a result, students are unable to access a safe learning environment, and there are issues with insufficient academic and psychological support.

[1061] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for receiving input user information, a means for analyzing the user information and converting it into a format that can be processed by the generative AI model, and a means for generating personalized avatar information based on the converted user information and emotion information. This enables personalized assistance that is individually optimized based on the user's situation and emotion.

[1062] "User information" refers to personal information entered by the user, such as the reason why they cannot attend school, their ideal school life, and their ideal teachers and students.

[1063] A "generative AI model" is a model that includes machine learning algorithms for generating personalized avatars based on user information and emotional information.

[1064] The "emotion engine" is an engine that analyzes the user's input data and real-time reactions (voice, facial expressions, etc.) to recognize the user's current emotional state.

[1065] "Personalized avatar information" is data that includes an avatar that visually represents the user's ideal learning environment and support plan, as well as related information.

[1066] "Customization" refers to a user's ability to adjust or modify their avatar and related information to suit their needs and preferences.

[1067] "Feedback" refers to information such as opinions, impressions, and suggestions for improvement that users provide after using the system.

[1068] A "user terminal" is a device such as a PC or smartphone that a user uses to access and operate the system.

[1069] The "server" is a central control system that analyzes the received user information, generates personalized avatar information, and sends it to the user's terminal.

[1070] "Cryptographic Protocol" means the communications protocol (e.g., SSL / TLS) used to securely transmit data.

[1071] The present invention is a system that aims to provide optimal support to students who are not attending school, based on their learning situation and psychological state. This system generates a personalized avatar based on user information and combines it with an emotion engine that recognizes the user's emotions. A specific embodiment of this system is described below.

[1072] Entering and submitting user information

[1073] Users access a specific application using their PC or smartphone. The application has an input form where users input reasons for not attending school (e.g., bullying, health issues, psychological stress), ideal school life (e.g., having fun with friends, a safe learning environment), and ideal teachers and students (e.g., understanding and supportive teachers, friendly classmates). The input information is securely transmitted from the device to the server using encryption protocols such as SSL / TLS.

[1074] Data reception and analysis

[1075] The server receives user information sent from the device and analyzes it using an analysis module. The analysis results are converted into a specific data format (e.g., JSON format) so that the generative AI model can process them. For example, if a user inputs, "I can't go to school because I'm afraid of being bullied," or "I want to have fun with my friends," the analysis module will format this information.

[1076] Emotion recognition by emotion engine

[1077] The server then activates an emotion engine that analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize the user's current emotional state (e.g., anxiety, relief, sadness, joy). For example, in the case of voice analysis, the engine analyzes the pitch and tone of the voice to determine the emotion.

[1078] Generate personalized avatars

[1079] The server inputs the analyzed user information and emotional information into a generative AI model. Based on this data, the generative AI model generates a personalized avatar that includes the user's ideal learning environment, ideal teacher and student characters, and a plan for necessary support and counseling. For example, an "understanding and supportive teacher" would be represented as an avatar with a kind-looking teacher character. The generated avatar information is sent from the server to the device and also saved in a database.

[1080] Result display and user interaction

[1081] The device receives the avatar information sent from the server and displays it on the user's screen. The user can further customize the displayed avatar, for example, by changing the avatar's clothing or background.

[1082] Providing counselling and learning support

[1083] The device provides individual counseling and learning support to users through an avatar, including real-time chat and video calling. The support provided is dynamically adjusted based on emotions recognized by an emotion engine. For example, if the user is feeling anxious, reassuring advice and messages will be enhanced.

[1084] Collecting and analyzing feedback

[1085] After using the system, users use a form to enter feedback. The entered feedback is sent from the device to the server and stored in a database. The server analyzes the collected feedback and the emotional data recognized by the emotion engine, and the results of this analysis are used to generate the next avatar and improve learning support.

[1086] Specific examples

[1087] Examples of specific prompt sentences include the following:

[1088] 1. "I would like to know what measures I can take to reduce my psychological stress."

[1089] 2. "What should I do if I can't go to school because of bullying?"

[1090] 3. "I would like to know how to create a safe and friendly learning environment."

[1091] By inputting this prompt into a generative AI model, the user is provided with the most appropriate assistance and advice.

[1092] The above is an embodiment of the present invention, and the detailed processing flow of this system allows students who are not attending school to receive an individually optimized learning environment and support. In addition, since support that is adapted to emotions is provided in real time, it is expected that users will feel more secure and satisfied.

[1093] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1094] Step 1:

[1095] A user accesses an application using a PC or smartphone. A login screen is displayed, and the user enters their account information to log in. Once the user logs in, an input form is displayed next.

[1096] Input: User account information, reason for not attending school, ideal school life, ideal teacher and student

[1097] Output: Data with user information entered

[1098] Step 2:

[1099] The terminal sends the data entered by the user in the input form to the server using an encryption protocol such as SSL / TLS. Once the transmission is complete, the user is shown a confirmation message.

[1100] Input: Data entered by the user

[1101] Output: The encrypted data is sent to the server

[1102] Step 3:

[1103] The server receives the user information sent from the device and temporarily stores it in a database. Then, it starts an analysis module to analyze the user information and convert it into a specific data format (e.g., JSON format).

[1104] Input: Encrypted user information

[1105] Output: Parsed data format

[1106] Specific operation: For example, if "Mr. A" inputs "I can't go to school because I'm afraid of being bullied," the analysis module will format this information as "Reason: Bullying, Condition: Can't go to school."

[1107] Step 4:

[1108] The server inputs the analyzed user information into an emotion engine to analyze the user's emotional state. The emotion engine analyzes the user's text data, voice, facial expressions, etc. to recognize the user's current emotional state.

[1109] Input: User information in parsed data format

[1110] Output: Perceived emotional state (e.g., anxiety, relief, sadness, joy)

[1111] Specific operation: When analyzing voice data, the emotion engine analyzes the pitch and tone of the voice to determine whether the person is in an anxious state.

[1112] Step 5:

[1113] The server inputs the analyzed user information and emotional information into a generative AI model, which generates a personalized avatar based on the user's ideal learning environment and support.

[1114] Input: Parsed data and perceived emotional state

[1115] Output: Personalized avatar information

[1116] Specific behavior: For example, the generative AI model generates a character called an "understanding and supportive teacher" and represents it as an avatar.

[1117] Step 6:

[1118] The server sends the generated personalized avatar information to the terminal, and then stores this information in a database.

[1119] Input: Personalized avatar information

[1120] Output: Avatar information sent to the device

[1121] Step 7:

[1122] The terminal receives the avatar information sent from the server and displays it on the user's screen, allowing the user to customize the displayed avatar.

[1123] Input: Avatar information sent from the server

[1124] Output: Avatar displayed on the user's screen

[1125] What it does: Users can change and customize their avatar's clothing and background.

[1126] Step 8:

[1127] The device provides users with personalized counseling and learning support via an avatar, dynamically adjusting the content based on their emotional state.

[1128] Input: User's customization information and emotional state

[1129] Output: Counselling and learning support provided

[1130] Specific behavior: For example, if the user is feeling anxious, reassuring advice will be displayed on the screen.

[1131] Step 9:

[1132] After using the system, users can access a form to provide feedback and enter their opinions, thoughts, and suggestions for improvement.

[1133] Input: User feedback

[1134] Output: Input feedback

[1135] Step 10:

[1136] The device sends the input feedback to the server, which stores it in a database and analyzes it to reflect in the next avatar generation and learning support.

[1137] Input: User feedback

[1138] Output: Feedback information stored on the server

[1139] Specific actions: For example, if feedback is received such as "I would like more support to make me feel more secure," this will be reflected in the content of the next counseling session.

[1140] (Application example 2)

[1141] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1142] Conventional learning support systems for students who are not attending school lack the ability to provide personalized support tailored to each user's situation, and it is particularly difficult to recognize emotional states in real time and provide support based on that. Furthermore, conventional systems lack the functionality to collect user feedback and reflect that information in the next support session, making continuous improvement difficult.

[1143] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input user information, means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support, means for analyzing the user's emotions using an emotion engine that recognizes the user's emotional state, means for transmitting the generated avatar and related information to the user terminal, and interaction means for displaying the generated avatar on the terminal and allowing the user to customize it. This makes it possible to provide optimal learning support and counseling that corresponds to the individual situation and emotional state of each user.

[1144] "School absentee students" refer to students who are unable to attend school due to psychological, social, or physical reasons.

[1145] "Inputted user information" refers to data provided by the user to the system, such as their own situation and ideal learning environment.

[1146] "Personalized avatar" refers to a virtual character that is individually customized based on collected user information and emotional data.

[1147] An "emotion engine" refers to software or algorithms that analyze user input data and real-time reactions to recognize their emotional state.

[1148] "User terminal" refers to a device through which a user accesses an application, such as a smartphone, smart glasses, or head-mounted display.

[1149] "Interaction means" refers to the user interface and methods of operation that allow a user to interact with and customize the displayed avatar.

[1150] "Customization" refers to the act of a user changing the appearance of a personalized avatar and the services provided to suit their own preferences.

[1151] "Feedback" refers to the evaluations and opinions provided by users after using the system, including information that will be reflected in the next avatar generation and learning support.

[1152] "Learning support" refers to a wide range of support services provided to students who are not attending school, such as providing teaching materials, managing their learning progress, and counseling.

[1153] This invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. The system includes various means for receiving and analyzing input user information and generating personalized avatar information based on that information. It also uses an emotion engine to recognize the user's emotional state and provide counseling and learning support based on that information.

[1154] The overall system configuration consists of the following elements:

[1155] 1. Enter and submit user information:

[1156] Users access the application using their own devices such as smartphones, smart glasses, or head-mounted displays. The application displays an input form in which users enter information such as their own situation, ideal learning environment, and ideal support staff. The entered information is then sent from the device to the server. The transmission is secure using encryption protocols such as SSL communication.

[1157] 2. Data Receipt and Analysis:

[1158] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[1159] As a concrete example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[1160] 3. Emotion Recognition with Emotion Engine:

[1161] Before passing it to the generative AI model, the server analyzes the user's emotional state using an emotion engine, which analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize their current emotional state (e.g., anxiety, relief, sadness, joy).

[1162] 4. Generate personalized avatars:

[1163] The server calls the generative AI model based on the formatted data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar contains the following information: the user's ideal learning environment, ideal teacher and student characters, and the necessary support and counseling plan. The generated avatar information is sent from the server to the device.

[1164] 5. Result display and user interaction:

[1165] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. Through the personalized avatar, the user can also receive counseling sessions, learning support plans, and learning progress management and feedback.

[1166] 6. Providing counselling and learning support:

[1167] The device provides individual counseling and learning support to users through an avatar. The content of the counseling and learning support is adjusted based on emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[1168] 7. Feedback Collection and Analysis:

[1169] Users can provide feedback after using the system. This feedback is sent from the device to the server and used for the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used for continuous system improvement.

[1170] For example, user information is input based on the following information: the reason for school refusal is "I can't go to school because I'm afraid of bullying," the ideal environment is "having fun time with friends," and the ideal support is "an understanding and supportive teacher."The system then recognizes the user's emotional state as "anxiety" in real time.The generative AI model then generates a personalized avatar, and the counseling and learning support provided to the user is adjusted according to the user's emotional state.

[1171] Examples of prompt statements include "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "The ideal teacher would be someone who is understanding and supportive," which allows for more specific and tailored support to be provided.

[1172] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1173] Step 1:

[1174] Users access the application using their smartphone, smart glasses, or head-mounted display. They enter user information such as the reason they cannot attend school, their ideal learning environment, and their ideal support staff through an input form. The information entered is securely transmitted to the server using SSL communication.

[1175] Input: User's personal information (reason for not attending school, ideal learning environment, ideal support staff)

[1176] Output: User information encrypted with SSL communication

[1177] Step 2:

[1178] The server analyzes the received user information. This information is formalized by the analysis module and converted into a format that can be processed by the generative AI model. When converting into data format, tags and categorization are performed based on the input information.

[1179] Input: User information sent via SSL communication

[1180] Output: Formatted user information (tagged, categorized)

[1181] Step 3:

[1182] The server uses the formalized user information to activate the emotion engine, which analyzes the user's emotions. The emotion engine analyzes voice data, text data, facial expression images, etc. to determine the user's current emotional state.

[1183] Input: Formalized user information, real-time user response data (voice, facial expressions)

[1184] Output: Perceived emotional state (e.g., anxiety, relief, sadness, joy)

[1185] Step 4:

[1186] The server combines the formalized user information with the emotional information recognized by the emotion engine and calls the generative AI model, which then generates personalized avatar information, including the ideal learning environment and support plan.

[1187] Input: Formalized user information, perceived emotional state

[1188] Output: personalized avatar information

[1189] Step 5:

[1190] The server sends the generated avatar information to the user's device using SSL communication, where it is displayed on the device's screen and can be customized by the user.

[1191] Input: Personalized avatar information

[1192] Output: Avatar information sent to the user's device

[1193] Step 6:

[1194] The device displays the received avatar information, and the user can review the avatar and customize it as needed. Through this avatar, they can receive counseling sessions and learning support.

[1195] Input: Submitted avatar information

[1196] Output: customized avatars, access to counseling and learning support

[1197] Step 7:

[1198] After using the system, users provide feedback. This feedback is sent from the device to the server and reflected in the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used to continuously improve the system.

[1199] Input: User feedback

[1200] Output: Feedback data that can be used for the next avatar generation and learning support

[1201] 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.

[1202] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1203] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1204] [Fourth embodiment]

[1205] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1206] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1207] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[1208] 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.

[1209] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1210] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1211] 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.

[1212] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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.

[1213] 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.

[1214] 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 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.

[1215] 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.

[1216] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1217] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1218] The present invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions, and generates personalized avatars based on user information. This system is specifically implemented as follows.

[1219] 1. Entering and submitting user information

[1220] Users access the application using their own PC or smartphone and enter the following information through the input form presented in the application.

[1221] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[1222] Ideal school life (e.g., having fun with friends, a safe learning environment)

[1223] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[1224] The entered information is sent from the device to the server, and is transmitted securely using encryption protocols such as SSL.

[1225] 2. Data Receipt and Analysis

[1226] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[1227] For example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[1228] 3. Generating personalized avatars

[1229] The server invokes a generative AI model based on the formatted data, which then generates a personalized avatar based on the user information. This avatar includes the following information:

[1230] The user's ideal learning environment

[1231] Ideal teacher and student character

[1232] A plan for necessary support and counseling

[1233] The generated avatar information is transmitted from the server to the terminal.

[1234] 4. Result Display and User Interaction

[1235] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. In addition, the user can receive the following support through the personalized avatar:

[1236] Counseling session

[1237] Providing learning support plans

[1238] Progress management and feedback

[1239] 5. Providing counselling and learning support

[1240] The device provides users with personalized counseling and learning support via an avatar. For example, an understanding teacher avatar can provide psychological support and advice on learning plans.

[1241] 6. Collecting and analyzing feedback

[1242] Users can provide feedback after using the system, which is sent from the device to the server and used to generate avatars and assist learning in the next round.

[1243] In this way, the present invention aims to provide a personalized learning environment and counseling so that students who are not attending school can receive the support that is best suited to them, thereby reducing their anxiety about the future.

[1244] The processing flow will be explained below.

[1245] Step 1:

[1246] Users access the application using a PC or smartphone and enter information such as the reason they cannot attend school, their ideal school life, and their ideal teachers and students.

[1247] Step 2:

[1248] The terminal collects the data entered by the user, encrypts it, and sends it to the server. This transmission is done securely using SSL communication or similar.

[1249] Step 3:

[1250] The server passes the received user data to an analytics module, which formalizes the information and converts it into a format that can be processed by the generative AI model.

[1251] Step 4:

[1252] The server uses the formatted data to invoke a generative AI model, which generates a personalized avatar based on the user information.

[1253] Step 5:

[1254] The server transmits the generated avatar and related information to the terminal.

[1255] Step 6:

[1256] The device displays the received avatar information on the screen, and the user can check the displayed avatar and customize it or provide feedback as needed.

[1257] Step 7:

[1258] The device provides users with counseling and learning support through an avatar, including psychological support and the provision of learning plans.

[1259] Step 8:

[1260] After using the system, users provide feedback, which is sent from their terminals to the server.

[1261] Step 9:

[1262] The server collects feedback data and reflects it in the next avatar generation and learning support, allowing the system to be continuously improved.

[1263] This detailed processing flow allows students who are not attending school to receive individually optimized learning environments and support, thereby reducing their anxiety about the future.

[1264] Example 1

[1265] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1266] Students who do not attend school face the challenge of finding a learning environment and support that is suited to their learning and psychological conditions. Each student has different problems, and optimal support is needed. However, traditional systems often fail to address individual needs and instead adopt a one-size-fits-all approach. This makes it difficult to provide effective support and learning environments for students.

[1267] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1268] In this invention, the server includes means for receiving input user information, means for analyzing the user information and converting the user's situation into a data format using an analysis module, means for generating a prompt sentence based on the formatted data, means for using the generated prompt sentence to generate a personalized avatar and related information using a generative AI model, and means for transmitting the generated avatar and related information to a user terminal, thereby making it possible to provide a learning environment and support that is individually optimized for each user.

[1269] "User information" is information entered by the user such as the reason why they cannot go to school, their ideal school life, and their ideal teachers and students.

[1270] An "analysis module" is a program or system that analyzes received user information and converts the user's situation into a data format.

[1271] "Data format" refers to data converted by the analysis module into a format that can be processed by the generative AI model.

[1272] A "prompt sentence" is an input sentence given to a generative AI model, and is generated based on formatted data.

[1273] A "generative AI model" is an artificial intelligence model that generates personalized avatars and related information based on prompt text.

[1274] An "avatar" is a digital character that embodies the user's ideal learning environment or support character.

[1275] "Related information" is information including various support and counseling plans associated with the avatar.

[1276] "User terminal" refers to devices such as PCs and smartphones used by users.

[1277] "Counseling methods" are methods that provide users with psychological support and advice on study plans through avatars.

[1278] The present invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. This system generates a personalized avatar based on input user information and provides the user with the optimal learning environment and support. Specific embodiments of the system are described below.

[1279] 1. Entering and submitting user information

[1280] The user accesses the application using their own PC or smartphone and enters the following information into the input form displayed in the application.

[1281] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[1282] Ideal school life (e.g., having fun with friends, a safe learning environment)

[1283] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[1284] The entered information is sent from the device to the server. This transmission is done securely using encryption protocols such as SSL communication. For example, if a user enters "I'm afraid of being bullied so I can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," when they press the send button, the data is encrypted and sent to the server.

[1285] 2. Data Receipt and Analysis

[1286] The server receives the user information. The analysis module then takes this information and converts it into data. For example, the server receives information such as "fear of bullying," "want to have fun with friends," and "have an understanding teacher," and the analysis module converts this information into formatted data such as "refusal to go to school due to psychological stress."

[1287] 3. Generate a prompt

[1288] The server then generates a prompt based on the data generated by the analysis module. This prompt serves as input for the generative AI model. For example, based on the data "school refusal due to psychological stress," "fun time with friends," and "understanding teacher," the server generates a prompt such as, "The reason I can't go to school is 'I'm afraid of bullying,' the ideal teacher is 'understanding and supportive,' and the ideal student is 'I want to have fun with friends.' Please generate an avatar based on this."

[1289] 4. Generating personalized avatars

[1290] The server passes the generated prompt to a generative AI model (e.g., GPT-4), which generates an avatar that matches the user's information based on the prompt. For example, the generative AI model might generate an avatar that "provides a sense of security to protect against bullying," and the avatar might include characters like an understanding teacher or a friendly classmate.

[1291] 5. Sending and Displaying Avatar Information

[1292] The avatar information generated by the generative AI model is sent to a server, and then encrypted and sent from the server to the device. The device then displays the received avatar information on the screen. For example, the avatar information sent from the server can be decrypted on the device, and avatars of an "understanding teacher" and a "group of friends having a good time" are displayed.

[1293] 6. Result Display and User Interaction

[1294] The device displays avatar information on the screen, and users can check the displayed avatar and customize it as needed. Users can also use the avatar to access counseling and learning support plans. For example, users can customize the displayed avatar and set it to "change the teacher's hair color."

[1295] 7. Providing counselling and learning support

[1296] The device provides individual counseling and learning support to users through an avatar. For example, an understanding teacher avatar might ask the user, "What's your study plan for today?", providing psychological support and advice on study plans.

[1297] 8. Collecting and Analyzing Feedback

[1298] Users can provide feedback after using the system. This feedback is sent from the device to the server and is used for the next avatar generation and learning support. For example, if a user inputs feedback such as "This counseling session was very helpful" and sends it to the server, it will be reflected in the next session.

[1299] Through the above process, the present invention aims to provide users with the optimal learning environment and support, thereby enabling students who are not attending school to receive the support that is best suited to them.

[1300] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1301] System program processing steps

[1302] Step 1:

[1303] Users access the application using their own PC or smartphone. They enter user information (such as reasons for not attending school, ideal school life, ideal teachers and students) into the input form displayed in the application. The entered information is sent from the device to the server. The transmission is secure using encryption protocols such as SSL communication.

[1304] Input: User information (reason for not going to school, ideal school life, information about ideal teachers and students)

[1305] Output: Encrypted user information sent to the server

[1306] As a specific example of how it works, when a user enters "I'm afraid of bullying," "I want to have fun with friends," or "I have an understanding teacher" into a smartphone app and presses the send button, the information is encrypted and sent to the server.

[1307] Step 2:

[1308] The server inputs the received user information into an analysis module and converts the user's situation into data format, such as "school refusal due to psychological stress," "desire to spend fun time with friends," or "understanding teacher."

[1309] Input: Encrypted user information

[1310] Output: Formatted data (e.g., "school absenteeism due to psychological stress")

[1311] As a specific example of how it works, the server receives information such as "I'm afraid of bullying," "I want to have fun with friends," and "I have an understanding teacher," and the analysis module converts each piece of information into "school refusal due to psychological stress."

[1312] Step 3:

[1313] The server generates prompt sentences based on the formatted data, which serve as inputs to the generative AI model.

[1314] Input: Formatted data

[1315] Output: prompt statement

[1316] As a specific example of operation, based on the formatted data "school refusal due to psychological stress," "desire to have fun with friends," and "understanding teacher," a prompt statement is generated that reads, "The reason I can't go to school is 'I'm afraid of bullying,' the ideal teacher is 'understanding and supportive,' and the ideal student is 'I want to have fun with friends.' Please generate an avatar based on this."

[1317] Step 4:

[1318] The server inputs the generated prompt sentence into the generative AI model, which generates a personalized avatar and related information based on the prompt sentence.

[1319] Input: prompt statement

[1320] Output: Generated avatar and related information

[1321] As a specific example of how it works, when the server sends a prompt message to the generative AI model, the model generates an avatar that "provides a sense of security to protect against bullying," including characters such as an understanding teacher or a friendly classmate.

[1322] Step 5:

[1323] The generated avatar and related information are sent from the server to the device in encrypted form.

[1324] Input: Generated avatar and related information

[1325] Output: Encrypted avatar and related information

[1326] As a specific example of operation, the server encrypts the generated avatar information and sends it to the device, which then decrypts it and displays to the user an "understanding teacher" and a "group of friends having fun."

[1327] Step 6:

[1328] The device displays the received avatar information on the screen, and the user can check the avatar and customize it as necessary. The user can also use the personalized avatar to implement counseling and learning support plans.

[1329] Input: Encrypted avatar and related information

[1330] Output: The avatar and related information displayed to the user

[1331] As a specific example of how it works, a user can view the avatar generated on their smartphone and customize it, such as by saying, "I want to change this teacher's hair color."

[1332] Step 7:

[1333] The device provides users with personalized counseling and learning support via an avatar, with an understanding teacher avatar offering psychological support and advice on learning plans.

[1334] Input: User-controlled avatar

[1335] Output: Individual counseling and learning support

[1336] As a specific example of how it works, an understanding teacher avatar might ask the user, "What would you like to do with your lesson plan today?"

[1337] Step 8:

[1338] After using the system, users provide feedback, which is sent from the device to the server and reflected in the next avatar generation and learning support.

[1339] Input: User feedback

[1340] Output: Data useful for next avatar generation and learning support

[1341] As a specific example of operation, when a user enters feedback such as "This counseling was very helpful" and presses the send button, that information is sent to the server so that it will be reflected the next time the user uses the service.

[1342] (Application example 1)

[1343] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1344] In this technical field, it is a challenge for students who are not attending school to receive effective learning support tailored to their individual circumstances. Furthermore, it is difficult for users to receive purchasing support and get recommendations for optimal products based on their preferences and needs, especially in virtual stores. To solve these challenges, personalized support based on user information is necessary, but existing systems cannot meet this requirement.

[1345] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1346] In this invention, the server includes means for receiving input user information, means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support, means for transmitting the generated avatar and related information to a user terminal, means for generating a personalized shopping assistant avatar based on the user information, and means for the generated shopping assistant avatar to suggest optimal products based on the user's preferences, purchase history, and current needs and provide purchasing support. This allows students who are not attending school to receive effective learning support, as well as personalized optimal product suggestions and purchasing support in virtual stores.

[1347] "School-refusing students" refer to students who, for some reason, find it difficult to attend school.

[1348] "User Information" refers to information provided by a user, such as personal information, learning status, psychological state, preferences, purchase history, and needs.

[1349] A "personalized avatar" is a virtual character that is individually customized based on user information.

[1350] A "Shopping Assistant Avatar" is a virtual character that suggests the most suitable products to users and provides purchasing support.

[1351] "Server" refers to a computer system that receives and analyzes user information and provides generated avatar information.

[1352] "User device" refers to a device that a user uses to access avatars and related information, such as a PC or smartphone.

[1353] "Analysis" refers to the process of processing and formatting submitted user information.

[1354] A "generative AI model" refers to an artificial intelligence algorithm that generates personalized avatars based on user information.

[1355] This invention is a system that aims to provide learning support tailored to the individual circumstances of students who are not attending school. Furthermore, by generating a personalized shopping assistant avatar based on user information, it is possible to provide optimal product suggestions and purchasing support in virtual stores.

[1356] System Configuration

[1357] The server includes the following means: First, a means for receiving input user information, which allows the user to access the application from their PC or smartphone and input the following information through an input form:

[1358] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[1359] Ideal school life (e.g., having fun with friends, safe learning environment)

[1360] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[1361] Preferences, purchase history, and current needs

[1362] User information is sent from the device to the server, and the transmission is secure using encryption protocols such as SSL.

[1363] Next, the server analyzes the user information and generates personalized avatar information that includes the ideal learning environment and support. The server analyzes the received user information and converts it into a format that can be processed by the generative AI model. The analyzed data is used by the generative AI model to generate a personalized avatar based on the user information. Specific generated information includes:

[1364] The user's ideal learning environment

[1365] Ideal teacher and student character

[1366] A plan for necessary support and counseling

[1367] Furthermore, the server also has a means for transmitting the generated avatar and related information to the user terminal. The generated avatar information is transmitted from the server to the terminal, and the user can view and customize it as needed.

[1368] Personalized Shopping Assistant Avatar

[1369] The server includes a means for generating a personalized shopping assistant avatar based on user information. Specifically, it suggests optimal products based on the user's preferences, past purchase history, and current needs, and provides purchasing support. The generated shopping assistant avatar operates as follows.

[1370] Proposing optimal products to users

[1371] Purchase support, product explanations, and usage suggestions

[1372] Hardware and software used

[1373] The following hardware and software are used in this system:

[1374] Hardware: PCs, smartphones, servers

[1375] Software: Python program, REST API, generative AI model

[1376] Specific examples

[1377] When a user accesses a virtual store using their smartphone, a personalized shopping assistant avatar is generated based on their preferences, purchase history, and current needs. The avatar then recommends the most suitable products for the user and provides instructions and additional information on how to use the products. For example, if a user is looking for "clothing suitable for the new season," the analysis module will interpret this as "items that fit this season's trends," and the avatar will suggest the most suitable products based on that.

[1378] Examples of prompts to input to a generative AI model include:

[1379] User Information:

[1380] Age: 25

[1381] Gender: Female

[1382] Past purchase history: cosmetics, fashion

[1383] Current needs: Clothing for the new season

[1384] System Request: Generate the best shopping assistant avatar for the user

[1385] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1386] Step 1:

[1387] A user accesses the application using their own PC or smartphone. The user enters their own information through an input form presented in the application. This information includes information such as the reason they cannot attend school, their ideal school life, their ideal teachers and students, their preferences, purchase history, and current needs. The entered information is sent from the user's device to the server. At this stage, the input is the user information, and the output is the sent user information.

[1388] Step 2:

[1389] The server inputs the received user information into an analysis module to formalize the user's situation. This analysis module converts the user information into a specific data format so that the generative AI model can process it. At this stage, the input is the transmitted user information, and the output is the formalized user information.

[1390] Step 3:

[1391] The server calls a generative AI model based on the formalized user information. The generative AI model generates a personalized avatar based on the user information. The generated avatar contains the following information: the ideal learning environment, the ideal teacher and student characters, and the necessary support and counseling plan. The input at this stage is the formalized user information, and the output is the generated avatar information.

[1392] Step 4:

[1393] The server sends the generated avatar information to the user's device, which then displays the received avatar information on its screen, allowing the user to review and customize it as needed. The input at this stage is the generated avatar information, and the output is the avatar information displayed on the user's device.

[1394] Step 5:

[1395] The server generates a personalized shopping assistant avatar based on user information. The generated shopping assistant avatar suggests optimal products based on the user's preferences, past purchase history, and current needs, and provides purchasing support. The input at this stage is formalized user information and prompts, and the output is the generated shopping assistant avatar information.

[1396] Step 6:

[1397] The shopping assistant avatar suggests the most suitable products to the user, explains the products, and provides purchasing support. The user can easily understand and purchase the products through the avatar. The input at this stage is the generated shopping assistant avatar information, and the output is the products suggested to the user and purchasing support information.

[1398] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1399] This invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. It generates a personalized avatar based on user information and combines it with an emotion engine that recognizes the user's emotions. This system is specifically implemented as follows.

[1400] 1. Entering and submitting user information

[1401] Users access the application using their own PC or smartphone and enter the following information through the input form presented in the application.

[1402] Reasons for not attending school (e.g., bullying, health problems, psychological stress)

[1403] Ideal school life (e.g., having fun with friends, a safe learning environment)

[1404] Ideal teacher and student (e.g., understanding and supportive teacher, friendly classmates)

[1405] The entered information is sent from the device to the server, and is transmitted securely using encryption protocols such as SSL.

[1406] 2. Data Receipt and Analysis

[1407] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[1408] For example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[1409] 3. Emotion Recognition by Emotion Engine

[1410] Before passing it to the generative AI model, the server analyzes the user's emotional state using an emotion engine, which analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize their current emotional state (e.g., anxiety, relief, sadness, joy).

[1411] 4. Generating personalized avatars

[1412] The server invokes the generative AI model based on the formatted data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar includes the following information:

[1413] The user's ideal learning environment

[1414] Ideal teacher and student character

[1415] A plan for necessary support and counseling

[1416] The generated avatar information is transmitted from the server to the terminal.

[1417] 5. Result Display and User Interaction

[1418] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. In addition, the user can receive the following support through the personalized avatar:

[1419] Counseling session

[1420] Providing learning support plans

[1421] Progress management and feedback

[1422] 6. Providing counselling and learning support

[1423] The device provides individual counseling and learning support to users through an avatar. The content of the counseling and learning support is adjusted based on emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[1424] 7. Collecting and analyzing feedback

[1425] Users can provide feedback after using the system. This feedback is sent from the device to the server and used for the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used for continuous system improvement.

[1426] This detailed processing flow allows students who are not attending school to receive individually optimized learning environments and support, and also provides support specific to their current emotional state, thereby reducing future anxiety.

[1427] The processing flow will be explained below.

[1428] Step 1:

[1429] Users access the application using a PC or smartphone and input the reasons for not being able to go to school (e.g., bullying, health problems, psychological stress), their ideal school life (e.g., wanting to spend time with friends, a safe learning environment), and their ideal teachers and students (e.g., understanding and supportive teachers, friendly classmates).

[1430] Step 2:

[1431] The terminal collects the data entered by the user, encrypts it via SSL communication, and sends it to the server.

[1432] Step 3:

[1433] The server passes the received user data to an analysis module, which formalizes the user's situation and converts it into a format that can be processed by the generative AI model.

[1434] Step 4:

[1435] The server receives the formatted data and passes it to the emotion engine, which analyzes the user's input data and real-time reactions (voice and facial expressions) to recognize the user's current emotional state (e.g., anxiety, relief, sadness, joy).

[1436] Step 5:

[1437] The server calls a generative AI model based on the analyzed format data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar includes the user's ideal learning environment, ideal teacher and student characters, and a plan for necessary support and counseling.

[1438] Step 6:

[1439] The server transmits the generated avatar and related information to the terminal.

[1440] Step 7:

[1441] The device displays the received avatar information on the screen, and the user can check the displayed avatar and customize it or provide feedback as needed.

[1442] Step 8:

[1443] The device provides counseling and learning support to the user through an avatar. The content of the counseling and learning support is adjusted based on the emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[1444] Step 9:

[1445] After using the system, users provide feedback, including which avatars were effective, which support was helpful, and areas for future improvement.

[1446] Step 10:

[1447] The device sends the user's feedback to the server, along with the emotion data collected by the emotion engine.

[1448] Step 11:

[1449] The server collects feedback data and emotion data and reflects it in the next avatar generation and learning support, allowing the system to continuously improve and provide users with the optimal learning environment and support.

[1450] This detailed process allows students who are not attending school to receive individually optimized learning environments and support. Furthermore, by providing support tailored to their current emotional state, future anxiety can be alleviated.

[1451] Example 2

[1452] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1453] Students who are not attending school face the challenge of receiving effective learning support tailored to their individual circumstances. Furthermore, there is a lack of systems that can properly understand students' psychological states and provide individually optimized counseling and learning support based on that understanding. Existing systems struggle to recognize users' emotions in real time and provide avatars and support that reflect that information. Furthermore, they lack the functionality to effectively collect user feedback and reflect it in future support sessions. As a result, students are unable to access a safe learning environment, and there are issues with insufficient academic and psychological support.

[1454] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for receiving input user information, a means for analyzing the user information and converting it into a format that can be processed by the generative AI model, and a means for generating personalized avatar information based on the converted user information and emotion information. This enables personalized assistance that is individually optimized based on the user's situation and emotion.

[1455] "User information" refers to personal information entered by the user, such as the reason why they cannot attend school, their ideal school life, and their ideal teachers and students.

[1456] A "generative AI model" is a model that includes machine learning algorithms for generating personalized avatars based on user information and emotional information.

[1457] The "emotion engine" is an engine that analyzes the user's input data and real-time reactions (voice, facial expressions, etc.) to recognize the user's current emotional state.

[1458] "Personalized avatar information" is data that includes an avatar that visually represents the user's ideal learning environment and support plan, as well as related information.

[1459] "Customization" refers to a user's ability to adjust or modify their avatar and related information to suit their needs and preferences.

[1460] "Feedback" refers to information such as opinions, impressions, and suggestions for improvement that users provide after using the system.

[1461] A "user terminal" is a device such as a PC or smartphone that a user uses to access and operate the system.

[1462] The "server" is a central control system that analyzes the received user information, generates personalized avatar information, and sends it to the user's terminal.

[1463] "Cryptographic Protocol" means the communications protocol (e.g., SSL / TLS) used to securely transmit data.

[1464] The present invention is a system that aims to provide optimal support to students who are not attending school, based on their learning situation and psychological state. This system generates a personalized avatar based on user information and combines it with an emotion engine that recognizes the user's emotions. A specific embodiment of this system is described below.

[1465] Entering and submitting user information

[1466] Users access a specific application using their PC or smartphone. The application has an input form where users input reasons for not attending school (e.g., bullying, health issues, psychological stress), ideal school life (e.g., having fun with friends, a safe learning environment), and ideal teachers and students (e.g., understanding and supportive teachers, friendly classmates). The input information is securely transmitted from the device to the server using encryption protocols such as SSL / TLS.

[1467] Data reception and analysis

[1468] The server receives user information sent from the device and analyzes it using an analysis module. The analysis results are converted into a specific data format (e.g., JSON format) so that the generative AI model can process them. For example, if a user inputs, "I can't go to school because I'm afraid of being bullied," or "I want to have fun with my friends," the analysis module will format this information.

[1469] Emotion recognition by emotion engine

[1470] The server then activates an emotion engine that analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize the user's current emotional state (e.g., anxiety, relief, sadness, joy). For example, in the case of voice analysis, the engine analyzes the pitch and tone of the voice to determine the emotion.

[1471] Generate personalized avatars

[1472] The server inputs the analyzed user information and emotional information into a generative AI model. Based on this data, the generative AI model generates a personalized avatar that includes the user's ideal learning environment, ideal teacher and student characters, and a plan for necessary support and counseling. For example, an "understanding and supportive teacher" would be represented as an avatar with a kind-looking teacher character. The generated avatar information is sent from the server to the device and also saved in a database.

[1473] Result display and user interaction

[1474] The device receives the avatar information sent from the server and displays it on the user's screen. The user can further customize the displayed avatar, for example, by changing the avatar's clothing or background.

[1475] Providing counselling and learning support

[1476] The device provides individual counseling and learning support to users through an avatar, including real-time chat and video calling. The support provided is dynamically adjusted based on emotions recognized by an emotion engine. For example, if the user is feeling anxious, reassuring advice and messages will be enhanced.

[1477] Collecting and analyzing feedback

[1478] After using the system, users use a form to enter feedback. The entered feedback is sent from the device to the server and stored in a database. The server analyzes the collected feedback and the emotional data recognized by the emotion engine, and the results of this analysis are used to generate the next avatar and improve learning support.

[1479] Specific examples

[1480] Examples of specific prompt sentences include the following:

[1481] 1. "I would like to know what measures I can take to reduce my psychological stress."

[1482] 2. "What should I do if I can't go to school because of bullying?"

[1483] 3. "I would like to know how to create a safe and friendly learning environment."

[1484] By inputting this prompt into a generative AI model, the user is provided with the most appropriate assistance and advice.

[1485] The above is an embodiment of the present invention, and the detailed processing flow of this system allows students who are not attending school to receive an individually optimized learning environment and support. In addition, since support that is adapted to emotions is provided in real time, it is expected that users will feel more secure and satisfied.

[1486] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1487] Step 1:

[1488] A user accesses an application using a PC or smartphone. A login screen is displayed, and the user enters their account information to log in. Once the user logs in, an input form is displayed next.

[1489] Input: User account information, reason for not attending school, ideal school life, ideal teacher and student

[1490] Output: Data with user information entered

[1491] Step 2:

[1492] The terminal sends the data entered by the user in the input form to the server using an encryption protocol such as SSL / TLS. Once the transmission is complete, the user is shown a confirmation message.

[1493] Input: Data entered by the user

[1494] Output: The encrypted data is sent to the server

[1495] Step 3:

[1496] The server receives the user information sent from the device and temporarily stores it in a database. Then, it starts an analysis module to analyze the user information and convert it into a specific data format (e.g., JSON format).

[1497] Input: Encrypted user information

[1498] Output: Parsed data format

[1499] Specific operation: For example, if "Mr. A" inputs "I can't go to school because I'm afraid of being bullied," the analysis module will format this information as "Reason: Bullying, Condition: Can't go to school."

[1500] Step 4:

[1501] The server inputs the analyzed user information into an emotion engine to analyze the user's emotional state. The emotion engine analyzes the user's text data, voice, facial expressions, etc. to recognize the user's current emotional state.

[1502] Input: User information in parsed data format

[1503] Output: Perceived emotional state (e.g., anxiety, relief, sadness, joy)

[1504] Specific operation: When analyzing voice data, the emotion engine analyzes the pitch and tone of the voice to determine whether the person is in an anxious state.

[1505] Step 5:

[1506] The server inputs the analyzed user information and emotional information into a generative AI model, which generates a personalized avatar based on the user's ideal learning environment and support.

[1507] Input: Parsed data and perceived emotional state

[1508] Output: Personalized avatar information

[1509] Specific behavior: For example, the generative AI model generates a character called an "understanding and supportive teacher" and represents it as an avatar.

[1510] Step 6:

[1511] The server sends the generated personalized avatar information to the terminal, and then stores this information in a database.

[1512] Input: Personalized avatar information

[1513] Output: Avatar information sent to the device

[1514] Step 7:

[1515] The terminal receives the avatar information sent from the server and displays it on the user's screen, allowing the user to customize the displayed avatar.

[1516] Input: Avatar information sent from the server

[1517] Output: Avatar displayed on the user's screen

[1518] What it does: Users can change and customize their avatar's clothing and background.

[1519] Step 8:

[1520] The device provides users with personalized counseling and learning support via an avatar, dynamically adjusting the content based on their emotional state.

[1521] Input: User's customization information and emotional state

[1522] Output: Counselling and learning support provided

[1523] Specific behavior: For example, if the user is feeling anxious, reassuring advice will be displayed on the screen.

[1524] Step 9:

[1525] After using the system, users can access a form to provide feedback and enter their opinions, thoughts, and suggestions for improvement.

[1526] Input: User feedback

[1527] Output: Input feedback

[1528] Step 10:

[1529] The device sends the input feedback to the server, which stores it in a database and analyzes it to reflect in the next avatar generation and learning support.

[1530] Input: User feedback

[1531] Output: Feedback information stored on the server

[1532] Specific actions: For example, if feedback is received such as "I would like more support to make me feel more secure," this will be reflected in the content of the next counseling session.

[1533] (Application example 2)

[1534] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1535] Conventional learning support systems for students who are not attending school lack the ability to provide personalized support tailored to each user's situation, and it is particularly difficult to recognize emotional states in real time and provide support based on that. Furthermore, conventional systems lack the functionality to collect user feedback and reflect that information in the next support session, making continuous improvement difficult.

[1536] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input user information, means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support, means for analyzing the user's emotions using an emotion engine that recognizes the user's emotional state, means for transmitting the generated avatar and related information to the user terminal, and interaction means for displaying the generated avatar on the terminal and allowing the user to customize it. This makes it possible to provide optimal learning support and counseling that corresponds to the individual situation and emotional state of each user.

[1537] "School absentee students" refer to students who are unable to attend school due to psychological, social, or physical reasons.

[1538] "Inputted user information" refers to data provided by the user to the system, such as their own situation and ideal learning environment.

[1539] "Personalized avatar" refers to a virtual character that is individually customized based on collected user information and emotional data.

[1540] An "emotion engine" refers to software or algorithms that analyze user input data and real-time reactions to recognize their emotional state.

[1541] "User terminal" refers to a device through which a user accesses an application, such as a smartphone, smart glasses, or head-mounted display.

[1542] "Interaction means" refers to the user interface and methods of operation that allow a user to interact with and customize the displayed avatar.

[1543] "Customization" refers to the act of a user changing the appearance of a personalized avatar and the services provided to suit their own preferences.

[1544] "Feedback" refers to the evaluations and opinions provided by users after using the system, including information that will be reflected in the next avatar generation and learning support.

[1545] "Learning support" refers to a wide range of support services provided to students who are not attending school, such as providing teaching materials, managing their learning progress, and counseling.

[1546] This invention is a system that allows students who are not attending school to receive optimal support tailored to their learning and psychological conditions. The system includes various means for receiving and analyzing input user information and generating personalized avatar information based on that information. It also uses an emotion engine to recognize the user's emotional state and provide counseling and learning support based on that information.

[1547] The overall system configuration consists of the following elements:

[1548] 1. Enter and submit user information:

[1549] Users access the application using their own devices such as smartphones, smart glasses, or head-mounted displays. The application displays an input form in which users enter information such as their own situation, ideal learning environment, and ideal support staff. The entered information is then sent from the device to the server. The transmission is secure using encryption protocols such as SSL communication.

[1550] 2. Data Receipt and Analysis:

[1551] The server inputs the received user information into an analysis module and formalizes the user's situation, which is then converted into a format that can be processed by the generative AI model.

[1552] As a concrete example, if a user (Mr. A) inputs the following information, "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "My ideal teacher would be someone who is understanding and supportive," the analysis module will convert this information into a specific data format.

[1553] 3. Emotion Recognition with Emotion Engine:

[1554] Before passing it to the generative AI model, the server analyzes the user's emotional state using an emotion engine, which analyzes the user's input data and real-time reactions (e.g., voice and facial expressions) to recognize their current emotional state (e.g., anxiety, relief, sadness, joy).

[1555] 4. Generate personalized avatars:

[1556] The server calls the generative AI model based on the formatted data and the emotional information recognized by the emotion engine. The generative AI model generates a personalized avatar based on the user information and emotional information. This avatar contains the following information: the user's ideal learning environment, ideal teacher and student characters, and the necessary support and counseling plan. The generated avatar information is sent from the server to the device.

[1557] 5. Result display and user interaction:

[1558] The device displays the received avatar information on the screen. The user can check the displayed avatar and customize it as needed. Through the personalized avatar, the user can also receive counseling sessions, learning support plans, and learning progress management and feedback.

[1559] 6. Providing counselling and learning support:

[1560] The device provides individual counseling and learning support to users through an avatar. The content of the counseling and learning support is adjusted based on emotions recognized by the emotion engine. For example, if the user is feeling anxious, the device will provide more support to give them a sense of security.

[1561] 7. Feedback Collection and Analysis:

[1562] Users can provide feedback after using the system. This feedback is sent from the device to the server and used for the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used for continuous system improvement.

[1563] For example, user information is input based on the following information: the reason for school refusal is "I can't go to school because I'm afraid of bullying," the ideal environment is "having fun time with friends," and the ideal support is "an understanding and supportive teacher."The system then recognizes the user's emotional state as "anxiety" in real time.The generative AI model then generates a personalized avatar, and the counseling and learning support provided to the user is adjusted according to the user's emotional state.

[1564] Examples of prompt statements include "I'm afraid of being bullied and can't go to school," "I want to have fun with my friends," and "The ideal teacher would be someone who is understanding and supportive," which allows for more specific and tailored support to be provided.

[1565] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1566] Step 1:

[1567] Users access the application using their smartphone, smart glasses, or head-mounted display. They enter user information such as the reason they cannot attend school, their ideal learning environment, and their ideal support staff through an input form. The information entered is securely transmitted to the server using SSL communication.

[1568] Input: User's personal information (reason for not attending school, ideal learning environment, ideal support staff)

[1569] Output: User information encrypted with SSL communication

[1570] Step 2:

[1571] The server analyzes the received user information. This information is formalized by the analysis module and converted into a format that can be processed by the generative AI model. When converting into data format, tags and categorization are performed based on the input information.

[1572] Input: User information sent via SSL communication

[1573] Output: Formatted user information (tagged, categorized)

[1574] Step 3:

[1575] The server uses the formalized user information to activate the emotion engine, which analyzes the user's emotions. The emotion engine analyzes voice data, text data, facial expression images, etc. to determine the user's current emotional state.

[1576] Input: Formalized user information, real-time user response data (voice, facial expressions)

[1577] Output: Perceived emotional state (e.g., anxiety, relief, sadness, joy)

[1578] Step 4:

[1579] The server combines the formalized user information with the emotional information recognized by the emotion engine and calls the generative AI model, which then generates personalized avatar information, including the ideal learning environment and support plan.

[1580] Input: Formalized user information, perceived emotional state

[1581] Output: personalized avatar information

[1582] Step 5:

[1583] The server sends the generated avatar information to the user's device using SSL communication, where it is displayed on the device's screen and can be customized by the user.

[1584] Input: Personalized avatar information

[1585] Output: Avatar information sent to the user's device

[1586] Step 6:

[1587] The device displays the received avatar information, and the user can review the avatar and customize it as needed. Through this avatar, they can receive counseling sessions and learning support.

[1588] Input: Submitted avatar information

[1589] Output: customized avatars, access to counseling and learning support

[1590] Step 7:

[1591] After using the system, users provide feedback. This feedback is sent from the device to the server and reflected in the next avatar generation and learning support. Emotion data recognized by the emotion engine is also stored at the same time and used to continuously improve the system.

[1592] Input: User feedback

[1593] Output: Feedback data that can be used for the next avatar generation and learning support

[1594] 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.

[1595] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1596] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1597] 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.

[1598] 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 includes both affect 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.

[1599] 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.

[1600] 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).

[1601] 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 indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, 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 indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1602] 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."

[1603] 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.

[1604] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1605] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1606] 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.

[1607] 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.

[1608] 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.

[1609] The hardware resource for executing a specific process can be any of the following processors: An example of a processor 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. Another example of a processor is 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.

[1610] The hardware resource that executes the specific processing 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 processing may be a single processor.

[1611] 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.

[1612] 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.

[1613] 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.

[1614] 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.

[1615] The following is further disclosed regarding the above embodiment.

[1616] (Claim 1)

[1617] The purpose is for students who are not attending school to receive learning support tailored to their own circumstances.

[1618] a means for receiving input user information;

[1619] A means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support;

[1620] means for transmitting the generated avatar and related information to a user terminal;

[1621] A system including:

[1622] (Claim 2)

[1623] 10. The system of claim 1, further comprising means for utilizing the avatar information to provide optimized counseling and learning support to the user.

[1624] (Claim 3)

[1625] The system of claim 1 , further comprising means for collecting feedback from the user and reflecting the feedback in subsequent avatar generation and learning support.

[1626] "Example 1"

[1627] (Claim 1)

[1628] The purpose is for users to receive learning support tailored to their own circumstances.

[1629] a means for receiving input user information;

[1630] means for analyzing the user information and converting the user's situation into a data format using an analysis module;

[1631] a means for generating a prompt sentence based on the formatted data;

[1632] a means for generating a personalized avatar and associated information using a generative AI model using the generated prompt sentence;

[1633] means for transmitting the generated avatar and related information to a user terminal;

[1634] A system including:

[1635] (Claim 2)

[1636] 10. The system of claim 1, further comprising means for utilizing the avatar and related information to provide optimized counseling and learning support to a user.

[1637] (Claim 3)

[1638] The system of claim 1 , further comprising means for collecting feedback from the user and reflecting the feedback in subsequent avatar generation and learning support.

[1639] "Application Example 1"

[1640] (Claim 1)

[1641] The purpose is for students who are not attending school to receive learning support tailored to their own circumstances.

[1642] a means for receiving input user information;

[1643] A means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support;

[1644] means for transmitting the generated avatar and related information to a user terminal;

[1645] means for generating a personalized shopping assistant avatar based on user information;

[1646] A means for the generated shopping assistant avatar to suggest optimal products based on the user's preferences, purchase history, and current needs, and provide purchasing support;

[1647] A system including:

[1648] (Claim 2)

[1649] 10. The system of claim 1, further comprising means for utilizing the avatar information to provide optimized counseling and learning support to the user.

[1650] (Claim 3)

[1651] The system of claim 1 , further comprising means for collecting feedback from the user and reflecting the feedback in subsequent avatar generation and learning support.

[1652] "Example 2: Combining Emotion Engines"

[1653] (Claim 1)

[1654] a means for receiving input user information;

[1655] A means for analyzing the user information and converting it into a format that can be processed by a generative AI model;

[1656] means for generating personalized avatar information based on the converted user information and emotion information;

[1657] means for transmitting the generated avatar and related information to a user terminal;

[1658] a means for using an emotion engine to recognize the emotional state of a user;

[1659] A system including:

[1660] (Claim 2)

[1661] 10. The system of claim 1, further comprising means for utilizing the avatar information to provide optimized counseling and learning support to the user.

[1662] (Claim 3)

[1663] The system of claim 1 , further comprising means for collecting feedback from the user and reflecting the feedback in subsequent avatar generation and learning support.

[1664] "Application example 2 when combining emotion engines"

[1665] (Claim 1)

[1666] The purpose is for students who are not attending school to receive learning support tailored to their own circumstances.

[1667] a means for receiving input user information;

[1668] A means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support;

[1669] means for analyzing the user's emotions using an emotion engine that recognizes the user's emotional state;

[1670] means for transmitting the generated avatar and related information to a user terminal;

[1671] An interaction means for displaying the generated avatar on the terminal and allowing the user to customize it;

[1672] A system including:

[1673] (Claim 2)

[1674] 10. The system of claim 1, further comprising means for utilizing the avatar information to provide optimized counseling and learning support to the user.

[1675] (Claim 3)

[1676] The system of claim 1 , further comprising means for collecting feedback from the user and reflecting the feedback in subsequent avatar generation and learning support. [Explanation of symbols]

[1677] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. The purpose is for students who are not attending school to receive learning support tailored to their own circumstances. a means for receiving input user information; A means for analyzing the user information and generating personalized avatar information including an ideal learning environment and support; means for transmitting the generated avatar and related information to a user terminal; A system including:

2. The system of claim 1 , further comprising means for utilizing the avatar information to provide optimized counseling and learning support to a user.

3. The system according to claim 1 , further comprising means for collecting feedback from the user and reflecting the feedback in next avatar generation and learning support.

Images