System

Abstract

To provide a system for setting and customizing a favorite teacher avatar in an online learning platform.SOLUTION: Means for a user to input login information and send the login information to a server, means for the server to authenticate the login information and return an authentication result to the terminal, means for the server to send customization options available to the user to the terminal, and means for the user to customize the appearance and voice of the avatar; A means in which the terminal transmits the information to the server, a means in which the server generates the customized avatar using the AI model and returns the customized avatar to the terminal, a means in which the user stores the avatar information finally set in the server, and a means in which the server integrates the learning content based on the stored avatar information and transmits the learning content to the 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 online learning platforms, users are unable to choose their preferred teacher, which can lead to a decline in motivation to learn. Furthermore, existing systems have the problem that it is difficult to change the teacher avatar once it has been set, making it difficult to meet the diverse needs of users. As a result, users' learning experience is limited, making it difficult to provide effective education. [Means for solving the problem]

[0005] This invention provides a system for enabling users to set and customize their preferred teacher avatars on an online learning platform. Specifically, the system includes a means for users to enter login information and transmit it to a server, a means for the server to authenticate the login information and return the authentication result to the device, a means for the server to transmit available customization options to the device and display them, a means for users to customize the avatar's appearance and voice and for the device to transmit that information to the server, a means for the server to use an AI model to generate a customized avatar and return it to the device, a means for the user to save the user's final avatar settings on the server, and a means for the user to select learning content and for the server to integrate the learning content based on the saved avatar information and transmit it to the device. This allows users to customize their preferred teacher avatars in real time, enhancing learning motivation and providing effective education.

[0006] An "online learning platform" is a system that provides learning content via the Internet and allows users to access and study remotely.

[0007] "User" means an individual or organization that uses the online learning platform to learn.

[0008] A "teacher avatar" is a virtual character that acts as a teacher within an online learning platform, and whose appearance and voice can be customized by the user.

[0009] "Login Information" means the username and password combination required by a User to access the Online Learning Platform.

[0010] "Server" means the central computer system of the online learning platform that processes user requests and manages data.

[0011] "Device" means a device such as a computer, smartphone, or tablet that a User uses to access the online learning platform.

[0012] "Authentication" is a procedure for verifying whether a user has valid login information and allowing access.

[0013] "Customization options" are the choices and settings provided to change the teacher avatar's appearance, voice, etc.

[0014] An "AI model" is a collection of algorithms that use machine learning and deep learning techniques to analyze data and perform specific tasks automatically.

[0015] "Avatar Information" is a set of data about the teacher avatar that the user has set and customized.

[0016] "Learning Content" refers to educational resources such as lessons, teaching materials, and tests provided within the online learning platform.

[0017] "Integration" is a process for displaying a teacher avatar customized by the user in an integrated manner with learning content. [Brief explanation of the drawings]

[0018] [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

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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).

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] This invention is a system that allows users to set and customize their preferred teacher avatars on an online learning platform. The system uses AI to freely customize the appearance and voice of the teacher avatar, making online learning more enjoyable and effective.

[0040] Program processing and specific examples

[0041] User authentication

[0042] When a user accesses the learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with a database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[0043] Displaying the settings screen

[0044] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options, allowing the user to begin customization.

[0045] Avatar Customization

[0046] Users can change various customization options for their avatar. For example, they can choose a short hairstyle, blue eyes, and a female voice. The device sends this customization information to the server in real time. The server uses an AI model to generate an avatar based on this customization information. The server then returns the generated avatar to the device, which displays it to the user in real time.

[0047] Save your avatar

[0048] When the user finishes customizing the avatar and clicks the save button, the device will send the final avatar information to the server, which will save the information in the database and return a save success message to the device, which will then display this message to the user to notify them that the save is complete.

[0049] Start learning online

[0050] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the saved avatar information from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content, including the avatar, to the user and starts the lesson.

[0051] Specific examples

[0052] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the saved avatar information and sends the integrated learning content to the device. In this case, the teacher avatar, which reflects the user's customized hairstyle and voice, will conduct the mathematics class. This makes the learning content more familiar to the user and increases their motivation to learn.

[0053] The present invention allows users to freely customize teacher avatars according to their preferences, greatly improving the effectiveness and enjoyment of online learning.

[0054] The processing flow will be explained below.

[0055] Specific processing steps of the program

[0056] User authentication

[0057] Step 1:

[0058] The user enters their username and password on the login screen.

[0059] Step 2:

[0060] The device sends the entered username and password to the server.

[0061] Step 3:

[0062] The server checks the login information it receives against its database.

[0063] Step 4:

[0064] The server returns the authentication result to the terminal. If authentication is successful, it generates a session ID and returns an authentication success message and the session ID to the terminal. If authentication fails, it returns an error message.

[0065] Step 5:

[0066] The device will display a successful authentication message to the user and open the main menu, or if authentication fails, will display the login screen again.

[0067] Displaying the settings screen

[0068] Step 1:

[0069] The user selects the "Avatar Settings" option from the main menu.

[0070] Step 2:

[0071] The terminal sends a request to the server to display the avatar setting screen.

[0072] Step 3:

[0073] The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database.

[0074] Step 4:

[0075] The server sends the customization options to the device.

[0076] Step 5:

[0077] The device displays the received customization options and the user begins customization.

[0078] Avatar Customization

[0079] Step 1:

[0080] The user selects customization options such as hairstyle, eye color, clothing, and voice.

[0081] Step 2:

[0082] The terminal transmits the selected customization information to the server in real time.

[0083] Step 3:

[0084] The server uses the AI ​​model to generate an avatar based on the customization information.

[0085] Step 4:

[0086] The server returns the generated avatar image and audio data to the terminal.

[0087] Step 5:

[0088] The device displays the generated avatar to the user in real time.

[0089] Save your avatar

[0090] Step 1:

[0091] The user completes avatar customization and hits the save button.

[0092] Step 2:

[0093] The terminal transmits the final set avatar information to the server.

[0094] Step 3:

[0095] The server stores the received avatar information in a database.

[0096] Step 4:

[0097] The server returns a save success message to the terminal.

[0098] Step 5:

[0099] The device displays a successful save message to the user.

[0100] Start learning online

[0101] Step 1:

[0102] The user selects learning content from the main menu and presses the start button.

[0103] Step 2:

[0104] The terminal sends a request to start the selected learning content to the server.

[0105] Step 3:

[0106] The server retrieves the saved avatar information from the database.

[0107] Step 4:

[0108] The server integrates the avatar information with the learning content.

[0109] Step 5:

[0110] The server transmits the integrated learning content to the terminal.

[0111] Step 6:

[0112] The device displays the integrated learning content (including the teacher avatar) to the user and begins the lesson.

[0113] Example 1

[0114] 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."

[0115] Online learning platforms lack the means to motivate users to learn. In addition, there are limited ways to customize the quality of education to suit individual preferences. There is a need for a system that allows users to flexibly customize their preferred teacher avatars and check the customization in real time.

[0116] 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.

[0117] In this invention, the server includes means for a user to input login information and transmit it to the server, means for authenticating the login information and returning the authentication result to the terminal, means for transmitting available customization options to the terminal and displaying them, means for a user to customize the appearance and voice of an avatar and for the terminal to transmit that information to the server, means for generating a customized avatar using a generative AI model and returning it to the terminal, means for saving the final avatar information to the server, means for selecting learning content and integrating it with the saved avatar information and transmitting it to the terminal, and means for updating and displaying the generated avatar data in real time. This allows users to flexibly configure and save their preferred avatars and check them in real time as they progress through their studies.

[0118] "User authentication" is the process of verifying that a user is a legitimate user by entering a username and password when accessing an online learning platform.

[0119] "Customization options" are choices and settings provided to allow users to freely set and change the characteristics of their teacher avatar, such as its appearance and voice.

[0120] A "generative AI model" is an artificial intelligence algorithm that automatically generates the appearance and voice of a teacher avatar based on customization information entered by the user.

[0121] A "prompt sentence" is an instruction sentence used to make a specific generation request to a generative AI model.

[0122] "Real-time updates" is a feature that allows changes made to a user's avatar to be reflected immediately and displayed to the user when the user customizes the avatar.

[0123] "Login Information" means the authentication information, such as username and password, that a User enters to access the Online Learning Platform.

[0124] "Device" means the electronic device used by a User to access and operate the online learning platform, including a PC, smartphone, tablet, etc.

[0125] A "server" is a central processing unit in an online learning platform that receives requests from users and performs processes such as database matching, avatar generation using AI models, and the return of various information.

[0126] The "database" is an information management system that stores various information such as user information, customization options, and generated avatar data, and can retrieve it as needed.

[0127] This invention is a system that allows users to set and customize their preferred teacher avatars on an online learning platform. Users can freely customize the appearance and voice of the teacher avatar using a generative AI model to make online learning more enjoyable and effective.

[0128] Hardware and software used

[0129] Hardware: User's PC, smartphone, tablet, etc.

[0130] Software: Online learning platform, servers, databases

[0131] AI model: Generative AI model for avatar generation

[0132] Detailed System Description

[0133] User authentication

[0134] When a user accesses the online learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with its database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[0135] Displaying the settings screen

[0136] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options, allowing the user to begin customization.

[0137] Avatar Customization

[0138] Users can change various customization options for their avatar. For example, they can select "short" hairstyle, "blue" eye color, and "female" voice. The device sends this customization information to the server in real time. The server uses a generative AI model to generate an avatar based on this customization information. The generated avatar is then returned from the server to the device, which displays it to the user in real time.

[0139] Save your avatar

[0140] When the user finishes customizing the avatar and clicks the save button, the device will send the final avatar information to the server, which will save the information in the database and return a save success message to the device, which will then display this message to the user to notify them that the save is complete.

[0141] Start learning online

[0142] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the saved avatar information from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content, including the avatar, to the user and starts the lesson.

[0143] Specific examples

[0144] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the saved avatar information and sends the integrated learning content to the device. In this case, the teacher avatar, whose hairstyle and voice are customized by the user, will conduct the mathematics class. This increases the user's familiarity with the learning content and improves their motivation to learn.

[0145] Prompt Sentence Examples

[0146] "Generate a teacher avatar with short hair, blue eyes, and a female voice."

[0147] The present invention allows users to freely customize teacher avatars according to their preferences, greatly improving the effectiveness and enjoyment of online learning.

[0148] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0149] Step 1: User authentication

[0150] A user accesses an online learning platform and a login screen appears. The user enters their username and password. (Input) Login information (username and password). The terminal sends the entered login information to the server. The server checks the login information against the database. (Data processing) Compares the login information with the information in the database. (Output) Authentication result. If authentication is successful, the server returns an authentication success message to the terminal. The terminal receives this message and displays the main menu to the user. Specifically, the user enters the username "user123" and password "password456", which the terminal encrypts and sends to the server. If this login information matches the database, the server returns an authentication success message.

[0151] Step 2: Display the settings screen

[0152] The user selects the "Avatar Settings" option from the main menu. (Input) The "Avatar Settings" option is selected. The device sends a request to the server to display the settings screen. The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from the database. (Data processing) The customization options are retrieved and converted into JSON format. (Output) The customization options. The server returns the option information to the device. The device displays this, allowing the user to begin customization. Specifically, when the user clicks the "Avatar Settings" button, the device sends an "Avatar Settings Screen Request" to the server. The server retrieves the option information from the database and returns it to the device in JSON format.

[0153] Step 3: Customize your avatar

[0154] The user changes the avatar settings from the displayed customization options. (Input) The user's customization selections (e.g., hairstyle "short," eye color "blue," voice "female"). The device sends the selected customization information to the server in real time. The server uses the generative AI model to create a prompt text and generates an avatar based on the customization information. (Data processing) A prompt text is generated based on the customization information and sent to the AI ​​model. (Output) Generated avatar data. The server returns the generated avatar data to the device. The device displays this to the user in real time. Specifically, if the user selects "hairstyle: short, eye color: blue, voice: female," the device sends this to the server, and the server generates a prompt text and sends it to the AI ​​model. The generated avatar is returned to the device and displayed in real time.

[0155] Step 4: Save your avatar

[0156] The user finishes customizing their avatar and presses the "Save" button. (Input) Final avatar information settings. The device sends this information to the server. The server saves the avatar information in the database. (Data processing) Final avatar information settings are saved in the database. (Output) Save success message. The server returns a save success message to the device. The device displays this message to the user, notifying them that saving is complete. Specifically, when the user clicks the "Save" button, the device sends the final avatar setting information to the server, which saves it in the database. A save success message is returned to the device and displayed to the user.

[0157] Step 5: Start learning online

[0158] The user selects learning content (e.g., the "Mathematics" course) from the main menu and presses the "Start" button. (Input) Learning content selection. The device sends a request to the server to display the learning materials. The server retrieves saved avatar information from the database and integrates it with the learning content. (Data processing) Integrates avatar information and learning content. (Output) Integrated learning content. The server sends the integrated learning content to the device. The device displays this to the user and starts the lesson. In concrete terms, when the user selects the "Mathematics" course and presses the "Start" button, the device sends a "Mathematics course start request" to the server. The server integrates the avatar information with the "Mathematics" learning material data and sends it to the device. The device displays this and the lesson begins.

[0159] (Application example 1)

[0160] 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."

[0161] In order to provide a more user-friendly experience on online platforms, it is necessary to use avatars that can be customized according to individual preferences. In particular, in virtual stores, allowing users to set and customize staff avatars of their choice would make the shopping experience in the virtual store more realistic and enjoyable, but specific technological means to achieve this are lacking.

[0162] 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.

[0163] In this invention, the server includes: means for a user to input login information and send it to the server; means for the server to authenticate the login information and return the authentication result to the terminal; means for the server to send available customization options to the terminal and the terminal to display them; means for a user to customize the appearance and voice of an avatar and for the terminal to send that information to the server; means for the server to generate a customized avatar using a generative AI model and return it to the terminal; means for the user to save the avatar information finally set by the user to the server; means for a user to select content and for the server to integrate the content with the saved avatar information and send it to the terminal; and means for an avatar to greet a user when they enter a virtual store and provide guidance and explain products. This allows users to customize staff avatars to their liking in the virtual store and enjoy a more friendly shopping experience.

[0164] An "online platform" is a digital infrastructure that users can access and use various services via the internet.

[0165] "User" refers to any individual or legal entity using the online platform.

[0166] An "avatar" is a virtual character that allows users to represent themselves online.

[0167] "Settings and customization" refers to the user individually adjusting and changing elements of their avatar, such as its appearance and voice.

[0168] A "system" is a set of devices and programs in which multiple components and functions work in conjunction with each other.

[0169] A "server" refers to a computer or software that provides information or services over a network.

[0170] "Login Information" means the username, password, or other authentication data required by a User to access the Platform.

[0171] "Authentication" is the process of verifying that the login information provided by a user is valid.

[0172] "Terminal" refers to a device used by a user, such as a computer or smartphone.

[0173] "Customization options" refers to various settings that users can select to adjust their avatar.

[0174] A "generative AI model" refers to a program that uses artificial intelligence technology to generate data and create avatars.

[0175] "Content" refers to information and services provided on the Online Platform, in particular digital media such as learning materials and product descriptions.

[0176] A "virtual store" refers to a virtual commercial transaction space that exists on the Internet.

[0177] "Welcome" refers to an avatar greeting and guiding a user when they enter a virtual store.

[0178] "Guidance" refers to the avatar explaining to the user information and services within the virtual store.

[0179] "Product description" refers to the avatar providing the user with a detailed explanation of the product or service's features and how to use it.

[0180] The present invention provides a system that allows users to set and use customizable staff avatars in a virtual store. A specific embodiment of the system will be described below.

[0181] The system runs on an online platform and is composed of a device where users log in, a server, and a generative AI model. First, the user accesses the online platform and enters their username and password on the login screen. The device sends this information to the server, which then compares the received login information with a database for authentication and returns the results to the device. If authentication is successful, the user can access the avatar setting screen.

[0182] When a user selects the "Avatar Settings" option from the settings screen, the device sends a display request to the server. The server retrieves available customization options from the database and sends them to the device. The device displays them, allowing the user to select and change various avatar customization options, such as hairstyle, eye color, voice, and clothing.

[0183] As users customize their devices, they send that information to the server in real time. The server then uses a generative AI model to generate an avatar based on the customization information and returns it to the device, which then displays the generated avatar to the user.

[0184] Once customization is complete and the user presses the save button, the device sends the final avatar information to the server, which stores it in a database. When the user then enters the virtual store, a staff avatar based on the user's saved customization settings will be displayed to guide the user and explain the product.

[0185] Hardware and software used

[0186] Hardware: Smartphones, smart glasses, head-mounted displays

[0187] Software: Virtual store application, generative AI models (e.g., OpenAI® GPT and DALL-E), databases (AWS® RDS), cloud services (AWS Lambda, AWS S3)

[0188] Examples of explanatory text

[0189] For example, a user logs in to a virtual store application and accesses the avatar setting screen. They select and save their hairstyle as "long," their voice as "male," and their clothing as "casual." When they then enter the virtual store, an avatar reflecting their selected customizations will greet them and explain the product.

[0190] Prompt Sentence Examples

[0191] A user wants to customize their avatar so that:

[0192] Hairstyle: Long

[0193] Voice: Male

[0194] Dress Code: Casual

[0195] Please create an avatar that meets this requirement.

[0196] This allows users to set their preferred staff avatars in the virtual store, customize them in real time, and save them, and also provides guidance and product explanations within the virtual store, making for a more user-friendly shopping experience.

[0197] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0198] Step 1:

[0199] A user accesses the online platform, enters their login information (username and password), and sends it to the server. The server receives the login information, compares it with a database, and returns the authentication result to the terminal. If the authentication is successful, the terminal displays the main menu to the user.

[0200] Step 2:

[0201] When a user selects the "Avatar Settings" option from the main menu, the device sends a display request to the server. The server retrieves available customization options (hairstyle, eye color, voice, clothing, etc.) from the database and sends them to the device. The device then displays these customization options to the user.

[0202] Step 3:

[0203] The user customizes the appearance and voice of the avatar using the displayed customization options. The device transmits the user's selection information for various customization options to the server in real time. The server uses a generative AI model based on the received customization information to generate a customized avatar and returns the result to the device. The device then displays the generated avatar to the user in real time.

[0204] Step 4:

[0205] When the user finishes customizing the avatar and presses the save button, the device will send the final avatar information to the server, which will save the received avatar information in its database. Once the saving is complete, the server will send a save success message to the device, which the device will display to the user.

[0206] Step 5:

[0207] When a user enters a virtual store, the terminal sends a request to enter the store to the server. The server retrieves the stored customized avatar information from the database, generates a staff avatar based on that information, and sends it to the terminal. The terminal then displays the generated staff avatar to the user.

[0208] Step 6:

[0209] The generated staff avatar provides guidance and product explanations to the user. When a user requests product information, the device sends the request to the server, which then retrieves the corresponding product information from a database and returns it to the device. The device displays the product information to the user and the staff avatar, and the staff avatar explains the product to the user.

[0210] Through the above processing steps, users can set their preferred staff avatars in the virtual store and use them to have a more friendly shopping experience.

[0211] 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.

[0212] This invention combines an emotion engine with a system that allows users to set and customize their own preferred teacher avatars in an online learning platform. The system recognizes the user's emotional state in real time and dynamically adjusts the teacher avatar's movements, facial expressions, and customization options based on that information, thereby providing a more personalized and effective learning experience for users.

[0213] Program processing and specific examples

[0214] User authentication

[0215] When a user accesses the learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with a database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[0216] Displaying the settings screen

[0217] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options and allows the user to begin customization.

[0218] Avatar Customization

[0219] Users can change various customization options for their avatar. For example, they can choose a short hairstyle, blue eyes, and a female voice. The device sends this customization information to the server in real time. The server uses an AI model to generate an avatar based on this customization information. The server then returns the generated avatar to the device, which displays it to the user in real time.

[0220] Incorporating an emotion engine

[0221] While the user is customizing the device, the device analyzes the user's facial expressions, voice, and other data to recognize the user's emotional state in real time. This process is performed by the device's built-in emotion engine. The recognition results are sent to the server, which can then adjust the customization options based on that information. For example, if the user is confused, the system can suggest easier customization options.

[0222] Save your avatar

[0223] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server stores this information in a database and returns a save success message to the device. The device displays this message to the user to notify them that the save is complete. At the same time, the user's emotional data is also stored in the database.

[0224] Start learning online

[0225] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the stored avatar information and emotional data from the database, integrates it with the learning content, and sends it to the device. At this time, the avatar's movements and facial expressions are also adjusted based on the emotional data. The device displays the learning content, including the avatar, to the user and begins the lesson.

[0226] Specific examples

[0227] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. For example, if the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements to explain things more slowly and clearly.

[0228] This invention not only allows users to freely customize their teacher avatars to suit their preferences, but also dynamically adjusts the avatars and content according to their emotional state during learning, thereby increasing users' motivation to learn and providing more personalized and effective education.

[0229] The processing flow will be explained below.

[0230] Specific processing steps of the program (including the emotion engine)

[0231] User authentication

[0232] Step 1:

[0233] The user enters their username and password on the login screen.

[0234] Step 2:

[0235] The device sends the entered username and password to the server.

[0236] Step 3:

[0237] The server checks the login information it receives against its database.

[0238] Step 4:

[0239] The server returns the authentication result to the terminal. If authentication is successful, it generates a session ID and returns an authentication success message and the session ID to the terminal. If authentication fails, it returns an error message.

[0240] Step 5:

[0241] The device will display a successful authentication message to the user and open the main menu, or if authentication fails, will display the login screen again.

[0242] Displaying the settings screen

[0243] Step 1:

[0244] The user selects the "Avatar Settings" option from the main menu.

[0245] Step 2:

[0246] The terminal sends a request to the server to display the setting screen.

[0247] Step 3:

[0248] The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database.

[0249] Step 4:

[0250] The server sends the customization options to the device.

[0251] Step 5:

[0252] The device displays the received customization options and the user begins customization.

[0253] Avatar Customization

[0254] Step 1:

[0255] The user selects customization options such as hairstyle, eye color, clothing, and voice.

[0256] Step 2:

[0257] The terminal transmits the selected customization information to the server in real time.

[0258] Step 3:

[0259] The server uses the AI ​​model to generate an avatar based on the customization information.

[0260] Step 4:

[0261] The server returns the generated avatar image and audio data to the terminal.

[0262] Step 5:

[0263] The device displays the generated avatar to the user in real time.

[0264] Incorporating an emotion engine

[0265] Step 1:

[0266] While the user is customizing, the device analyzes the user's facial expressions and voice using an emotion engine.

[0267] Step 2:

[0268] The device uses an emotion engine to recognize the user's emotional state in real time.

[0269] Step 3:

[0270] The device transmits the recognized emotional state to the server.

[0271] Step 4:

[0272] The server adjusts customization options based on the emotion data and sends them to the device.

[0273] Step 5:

[0274] The device presents tailored customization options to the user.

[0275] Save your avatar

[0276] Step 1:

[0277] The user completes avatar customization and hits the save button.

[0278] Step 2:

[0279] The terminal transmits the final set avatar information to the server.

[0280] Step 3:

[0281] The server stores the avatar information and emotion data in a database.

[0282] Step 4:

[0283] The server returns a save success message to the terminal.

[0284] Step 5:

[0285] The device displays a successful save message to the user.

[0286] Start learning online

[0287] Step 1:

[0288] The user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button.

[0289] Step 2:

[0290] The terminal sends a request to start the selected learning content to the server.

[0291] Step 3:

[0292] The server retrieves the stored avatar information and emotion data from the database.

[0293] Step 4:

[0294] The server adjusts the teacher avatar's movements and facial expressions based on the user's emotional data and integrates them with the learning content.

[0295] Step 5:

[0296] The server transmits the integrated learning content to the terminal.

[0297] Step 6:

[0298] The device displays the integrated learning content (including the teacher avatar) to the user and begins the lesson.

[0299] Specific examples

[0300] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. If the user's emotional state is recognized as "confused," the teacher avatar will adjust its movements and facial expressions to explain things more carefully and slowly, thereby improving the user's understanding during the learning process.

[0301] This invention not only allows users to freely customize their teacher avatars to suit their preferences, but also dynamically adjusts the avatars and content according to their emotional state during learning, thereby increasing users' motivation to learn and providing more personalized and effective education.

[0302] Example 2

[0303] 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."

[0304] Traditional online learning platforms lack personalization of the user's learning experience, particularly the lack of dynamic customization based on emotional state. This can lead to a decrease in user motivation and comprehension. Additionally, avatar customization is not reflected in real time, meaning users cannot see the results immediately, which can be inconvenient.

[0305] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: a means for a user to input login information and transmit it to the server; a means for the server to authenticate the login information and return the authentication result to the terminal; a means for the server to transmit available customization options to the terminal and display them; a means for the user to customize the appearance and voice of an avatar and for the terminal to transmit the information to the server; a means for the server to generate a customized avatar using a generative AI model and return it to the terminal; a means for the terminal to recognize the user's emotions in real time and transmit the recognition result to the server; a means for the server to dynamically adjust the customization options based on the user's emotional state; a means for the user to save the user's finalized avatar information to the server; and a means for the user to select learning content and for the server to integrate the learning content with the saved avatar information and emotional data and transmit the selected learning content to the terminal. This allows for personalized learning experiences for users, enabling appropriate customization based on emotional states and real-time avatar generation.

[0306] An "online learning platform" is a system that provides learning content via the Internet, and refers to an environment in which users can learn remotely.

[0307] "User" refers to an individual who uses the system to access learning content and customize their avatar.

[0308] A "terminal" is a device used by a user to access the system, including a personal computer or smartphone.

[0309] "Server" refers to a computing system that processes data based on a user's request and returns the results to the terminal.

[0310] "Login Information" refers to information such as username and password for authenticating a user.

[0311] "Authentication result" refers to information indicating the success or failure of authentication that is returned to the terminal after the server has verified the login information.

[0312] "Customization options" refers to settings that users can select to change their avatar's appearance, voice, etc.

[0313] "Avatar" refers to a graphic of a person or character that appears in place of a user on an online learning platform.

[0314] "Generative AI model" refers to an artificial intelligence algorithm for generating an avatar based on user customization information.

[0315] An "emotion engine" refers to a program that analyzes a user's facial expressions and voice to recognize their emotional state.

[0316] "Emotional state" refers to the mental or emotional state a user is in while customizing or learning.

[0317] "Learning Content" refers to the learning materials and lessons provided on the Online Learning Platform.

[0318] This invention is a system that allows users to set and customize their own teacher avatar in an online learning platform. The system recognizes the user's emotional state in real time and dynamically adjusts the teacher avatar's movements, facial expressions, and customization options based on that information, thereby providing a more personalized and effective learning experience.

[0319] First, when a user accesses the learning platform, a login screen appears on the device. The user enters their login information (username and password), and the device sends this information to the server. The server authenticates the login information and returns an authentication result of success or failure to the device. If authentication is successful, the device displays the main menu, and the user can continue learning.

[0320] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from the database and sends them to the device. The device then displays these options, allowing the user to begin customizing their avatar.

[0321] Next, when the user selects avatar customization options, the device sends this customization information to the server in real time. The server uses the generative AI model to generate an avatar based on this customization information and returns the generated avatar to the device. The device then displays the generated avatar to the user in real time, allowing the user to instantly see the results of their customization.

[0322] While the user is customizing the device, the device analyzes the user's facial expressions and voice using an emotion engine to recognize the user's emotional state in real time. The recognition results are sent to the server, which then dynamically adjusts the customization options based on the user's emotional state. For example, if the user is confused, the server will send easier customization options to the device and suggest them to the user.

[0323] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server stores this information in a database and returns a save success message to the device. The device displays this message to notify the user that the save is complete. At the same time, the user's emotional data is also stored in the database.

[0324] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the stored avatar information and emotion data from the database, integrates them with the learning content, and sends them to the device. The device displays the learning content including the avatar, and the user begins learning.

[0325] Specific examples

[0326] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. For example, if the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements to explain things more slowly and clearly.

[0327] Prompt Sentence Examples

[0328] "Describe a system where a user logs into a learning platform and, while customizing their avatar, the avatar dynamically adjusts based on the user's emotional state."

[0329] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0330] Step 1:

[0331] A user accesses the learning platform. When the user enters login information (username and password), the terminal sends this information to the server. The server checks the login information against a database and determines whether authentication is successful or not. The authentication result is returned to the terminal, and if authentication is successful, the terminal displays the main menu. The input is the user name and password, and the output is the authentication result.

[0332] Step 2:

[0333] The user selects the "Avatar Settings" option from the main menu. The device sends a request to the server to display the settings screen. The server retrieves the available customization options (hairstyle, eye color, clothing, voice, etc.) from the database and sends them to the device. The device displays these options, allowing the user to begin customization. The input is a request to display the settings screen, and the output is a list of customization options.

[0334] Step 3:

[0335] The user changes the avatar customization options. The device sends this customization information (e.g., setting the hairstyle to "short," the eye color to "blue," and the voice to "female") to the server in real time. The server uses a generative AI model to generate an avatar based on the customization information and returns the generated avatar to the device. The device displays the generated avatar to the user in real time. The input is the customization information, and the output is the generated avatar.

[0336] Step 4:

[0337] While the user is customizing the device, the device analyzes the user's facial expressions and voice using an emotion engine to recognize the user's emotional state in real time. The recognition results are sent to the server, which then dynamically adjusts the customization options based on the user's emotional state. For example, if the user is confused, the server will send easier customization options to the device and suggest them to the user. The input is the user's facial expressions and voice, and the output is the adjusted customization options.

[0338] Step 5:

[0339] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server saves this information in a database and returns a save success message to the device. The device displays this message to the user to notify them that the save is complete. At the same time, the user's emotion data is also saved in the database. The input is the final avatar information, and the output is a save success message.

[0340] Step 6:

[0341] The user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button. The device sends a request to display the learning material to the server. The server retrieves the saved avatar information and emotion data from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content including the avatar, and the user begins learning. The input is the request to display the learning content, and the output is the integrated learning content.

[0342] (Application example 2)

[0343] 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."

[0344] Current online learning platforms do not allow users to customize their teacher avatars or dynamically adjust the learning experience based on their emotional state. This leads to poor learning outcomes and a lack of motivation. Furthermore, virtual stores offering virtual experiences often struggle to improve customer satisfaction due to a lack of personalized user experiences.

[0345] 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 a user to input login information and transmit it to the server; means for the server to authenticate the login information and return the authentication result to the terminal; means for the server to transmit available customization options to the terminal and the terminal to display them; means for a user to customize the appearance and voice of an avatar and for the terminal to transmit the information to the server; means for the server to generate a customized avatar using an AI model and return it to the terminal; means for an emotion engine built into the terminal to recognize the user's emotional state and transmit the information to the server in real time; means for the server to dynamically adjust the customization options based on the emotional state and transmit them to the terminal; means for the user to save the user's final avatar information to the server; and means for the user to select learning content and for the server to integrate the selected learning content with the saved avatar information and transmit it to the terminal. This allows the user to customize the teacher avatar to their liking, and the avatar and learning content are dynamically adjusted based on the user's emotional state, making the learning experience more personalized, improving learning effectiveness and increasing motivation to learn.

[0346] An "online learning platform" is a system that uses the Internet to provide educational content and allow users to learn online.

[0347] "User" means any individual or entity that accesses the online learning platform and uses the learning content.

[0348] A "teacher avatar" is a virtual character that can be customized by users to deliver learning content on an online learning platform.

[0349] "Customization options" refer to various options that allow users to change the teacher avatar's appearance, voice, etc.

[0350] The "emotion engine" is software that analyzes the user's facial expressions and voice to recognize the user's emotional state in real time.

[0351] "Device" means the device a user uses to access the online learning platform, such as a smartphone, tablet, or computer.

[0352] "Server" means a computer system that provides various services of the online learning platform, processes user requests, and manages data.

[0353] An "AI model" is a program that uses artificial intelligence algorithms to generate and process various data based on a user's customization information and emotional state.

[0354] A "database" is a system for managing and storing data such as user information, avatar information, and customization options.

[0355] "Dynamic adjustment" refers to automatically changing an avatar's behavior, facial expressions, and customization options in real time based on the user's emotional state.

[0356] This invention is a system for an online learning platform that allows users to set and customize their preferred teacher avatars, and by combining it with an emotion engine, personalizes the learning experience according to the user's emotional state. Specific methods for realizing this system are described below.

[0357] First, when a user accesses an online learning platform, they use a device such as a smartphone, tablet, or computer. The user enters their username and password on the login screen, and the entered information is sent from the device to the cloud server. The cloud server performs authentication using Firebase Auth or AWS Cognito and returns the authentication result to the device.

[0358] Next, when the user selects "Avatar Settings" from the main menu, the cloud server retrieves available customization options from the database and sends them to the device, which then displays these options (e.g., hairstyle, eye color, clothing, voice, etc.) and allows the user to select settings.

[0359] Once a user selects a customization option, that information is sent in real time to a cloud server, which uses a generative AI model to generate an avatar based on the selected customization options and returns the resulting video and audio data to the device, allowing the user to instantly see the results of their customization.

[0360] Furthermore, this system uses an emotion engine built into the device to analyze the user's facial expressions and voice to recognize their emotional state in real time. The software used includes facial recognition libraries (e.g., OpenCV and Dlib) and emotion recognition AI (e.g., Hugging Face emotion recognition model, DeepFace, etc.). The recognized emotion data is sent to a cloud server.

[0361] The cloud server dynamically adjusts customization options based on this emotional data. Specifically, if the user is confused, it suggests simpler customization options, and if the user shows interest, it presents more detailed options. Additionally, while the user is using the learning content, the cloud server constantly adjusts the avatar's movements and facial expressions based on the emotional data to provide appropriate feedback.

[0362] When the user completes the final customization and presses the save button, the device sends the final avatar information to the cloud server, which stores the information in a database and returns a save success message to the device. At the same time, the emotion data is also stored in the database.

[0363] When starting learning content, the user selects a learning course (e.g., "Mathematics") from the main menu, and the cloud server integrates the learning content with the stored avatar information and sends it to the device. The device displays the learning content including the avatar and dynamically adjusts the content according to the user's emotional state.

[0364] Examples and prompts:

[0365] For example, when a user selects the "Mathematics" course and presses the start button, the cloud server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. If the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements and expressions to explain things more slowly and clearly.

[0366] Example prompt sentence:

[0367] "The emotion engine should analyze the user's emotions in real time based on the current facial recognition data, and provide the most appropriate avatar function according to the user's emotional state. For example, if the user is confused, the assistant avatar should take slower, more clearly explained actions."

[0368] This system configuration allows users to customize the teacher avatar to their liking, and the avatar and content are dynamically adjusted according to the user's emotional state during learning, thereby improving learning effectiveness and the user's motivation to learn.

[0369] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0370] Step 1: User authentication

[0371] A user accesses an online learning platform on a device and enters a username and password on the login screen. The input information is sent from the device to a cloud server. The server performs authentication using Firebase Auth or AWS Cognito and returns the authentication result to the device. The input data is the username and password, and the output data is the authentication result. The server checks the authentication information against a database and returns a result of authentication success or failure.

[0372] Step 2: Display the avatar setting screen

[0373] When a user selects "Avatar Settings" from the main menu, the device sends a request to the server. The server retrieves available customization options from the database and sends them to the device. The input data is the "Avatar Settings" selection request, and the output data is the customization options. The server retrieves the customization options (hairstyle, eye color, clothing, voice) and passes them to the device.

[0374] Step 3: Customize your avatar

[0375] The user selects various customization options, which are reflected on the device in real time. The information selected by the user is sent from the device to a server, and the server uses a generative AI model to generate a customized avatar. The input data is the customization information selected by the user, and the output data is the customized avatar. The server's AI model creates image and audio data based on the customization information and sends them to the device.

[0376] Step 4: Incorporating the Emotion Engine

[0377] While the user is customizing the device, the device's built-in emotion engine uses the camera and microphone to analyze the user's face and voice and recognize their emotional state in real time. The emotional state data is sent from the device to the server. The input data is the user's face and voice, and the output data is their emotional state. The device uses libraries such as OpenCV and DeepFace to generate emotion data and send it to the server.

[0378] Step 5: Dynamic Adjustment

[0379] The server dynamically adjusts the customization options based on the received emotional data. For example, if the user is confused, the server proposes simple customization options and sends them to the device. The input data is the emotional state, and the output data is the adjusted customization options. The server generates appropriate proposals based on the results of the emotional data analysis and presents them to the user.

[0380] Step 6: Save your avatar

[0381] When the user completes customization and presses the save button, the device sends the final avatar information to the server. The server saves this information in the database and returns a save success message to the device. At the same time, emotion data is also saved. The input data is the avatar information, and the output data is a save confirmation message. The avatar information and emotion data are saved in the database, and a confirmation is given that the save was successful.

[0382] Step 7: Start learning online

[0383] When a user selects learning content (e.g., a "Mathematics" course) from the main menu, the terminal sends a display request to the server. The server retrieves the stored avatar information and emotion data from the database, integrates it with the learning content, and sends it to the terminal. The input data is the learning content selection request, and the output data is the integrated learning content. The server adjusts the learning content based on the avatar information and emotion data and provides it to the user.

[0384] Through the above processing steps, users can customize the teacher avatar to their liking, and the avatar and content are dynamically adjusted according to the user's emotional state during learning, thereby improving learning effectiveness and increasing motivation to learn.

[0385] 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.

[0386] 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.

[0387] 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.

[0388] [Second embodiment]

[0389] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0390] 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.

[0391] 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).

[0392] 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.

[0393] 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.

[0394] 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).

[0395] 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. 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.

[0396] 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.

[0397] 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.

[0398] 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.

[0399] 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.

[0400] 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."

[0401] This invention is a system that allows users to set and customize their preferred teacher avatars on an online learning platform. The system uses AI to freely customize the appearance and voice of the teacher avatar, making online learning more enjoyable and effective.

[0402] Program processing and specific examples

[0403] User authentication

[0404] When a user accesses the learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with a database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[0405] Displaying the settings screen

[0406] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options, allowing the user to begin customization.

[0407] Avatar Customization

[0408] Users can change various customization options for their avatar. For example, they can choose a short hairstyle, blue eyes, and a female voice. The device sends this customization information to the server in real time. The server uses an AI model to generate an avatar based on this customization information. The server then returns the generated avatar to the device, which displays it to the user in real time.

[0409] Save your avatar

[0410] When the user finishes customizing the avatar and clicks the save button, the device will send the final avatar information to the server, which will save the information in the database and return a save success message to the device, which will then display this message to the user to notify them that the save is complete.

[0411] Start learning online

[0412] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the saved avatar information from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content, including the avatar, to the user and starts the lesson.

[0413] Specific examples

[0414] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the saved avatar information and sends the integrated learning content to the device. In this case, the teacher avatar, which reflects the user's customized hairstyle and voice, will conduct the mathematics class. This makes the learning content more familiar to the user and increases their motivation to learn.

[0415] The present invention allows users to freely customize teacher avatars according to their preferences, greatly improving the effectiveness and enjoyment of online learning.

[0416] The processing flow will be explained below.

[0417] Specific processing steps of the program

[0418] User authentication

[0419] Step 1:

[0420] The user enters their username and password on the login screen.

[0421] Step 2:

[0422] The device sends the entered username and password to the server.

[0423] Step 3:

[0424] The server checks the login information it receives against its database.

[0425] Step 4:

[0426] The server returns the authentication result to the terminal. If authentication is successful, it generates a session ID and returns an authentication success message and the session ID to the terminal. If authentication fails, it returns an error message.

[0427] Step 5:

[0428] The device will display a successful authentication message to the user and open the main menu, or if authentication fails, will display the login screen again.

[0429] Displaying the settings screen

[0430] Step 1:

[0431] The user selects the "Avatar Settings" option from the main menu.

[0432] Step 2:

[0433] The terminal sends a request to the server to display the avatar setting screen.

[0434] Step 3:

[0435] The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database.

[0436] Step 4:

[0437] The server sends the customization options to the device.

[0438] Step 5:

[0439] The device displays the received customization options and the user begins customization.

[0440] Avatar Customization

[0441] Step 1:

[0442] The user selects customization options such as hairstyle, eye color, clothing, and voice.

[0443] Step 2:

[0444] The terminal transmits the selected customization information to the server in real time.

[0445] Step 3:

[0446] The server uses the AI ​​model to generate an avatar based on the customization information.

[0447] Step 4:

[0448] The server returns the generated avatar image and audio data to the terminal.

[0449] Step 5:

[0450] The device displays the generated avatar to the user in real time.

[0451] Save your avatar

[0452] Step 1:

[0453] The user completes avatar customization and hits the save button.

[0454] Step 2:

[0455] The terminal transmits the final set avatar information to the server.

[0456] Step 3:

[0457] The server stores the received avatar information in a database.

[0458] Step 4:

[0459] The server returns a save success message to the terminal.

[0460] Step 5:

[0461] The device displays a successful save message to the user.

[0462] Start learning online

[0463] Step 1:

[0464] The user selects learning content from the main menu and presses the start button.

[0465] Step 2:

[0466] The terminal sends a request to start the selected learning content to the server.

[0467] Step 3:

[0468] The server retrieves the saved avatar information from the database.

[0469] Step 4:

[0470] The server integrates the avatar information with the learning content.

[0471] Step 5:

[0472] The server transmits the integrated learning content to the terminal.

[0473] Step 6:

[0474] The device displays the integrated learning content (including the teacher avatar) to the user and begins the lesson.

[0475] Example 1

[0476] 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."

[0477] Online learning platforms lack the means to motivate users to learn. In addition, there are limited ways to customize the quality of education to suit individual preferences. There is a need for a system that allows users to flexibly customize their preferred teacher avatars and check the customization in real time.

[0478] 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.

[0479] In this invention, the server includes means for a user to input login information and transmit it to the server, means for authenticating the login information and returning the authentication result to the terminal, means for transmitting available customization options to the terminal and displaying them, means for a user to customize the appearance and voice of an avatar and for the terminal to transmit that information to the server, means for generating a customized avatar using a generative AI model and returning it to the terminal, means for saving the final avatar information to the server, means for selecting learning content and integrating it with the saved avatar information and transmitting it to the terminal, and means for updating and displaying the generated avatar data in real time. This allows users to flexibly configure and save their preferred avatars and check them in real time as they progress through their studies.

[0480] "User authentication" is the process of verifying that a user is a legitimate user by entering a username and password when accessing an online learning platform.

[0481] "Customization options" are choices and settings provided to allow users to freely set and change the characteristics of their teacher avatar, such as its appearance and voice.

[0482] A "generative AI model" is an artificial intelligence algorithm that automatically generates the appearance and voice of a teacher avatar based on customization information entered by the user.

[0483] A "prompt sentence" is an instruction sentence used to make a specific generation request to a generative AI model.

[0484] "Real-time updates" is a feature that allows changes made to a user's avatar to be reflected immediately and displayed to the user when the user customizes the avatar.

[0485] "Login Information" means the authentication information, such as username and password, that a User enters to access the Online Learning Platform.

[0486] "Device" means the electronic device used by a User to access and operate the online learning platform, including a PC, smartphone, tablet, etc.

[0487] A "server" is a central processing unit in an online learning platform that receives requests from users and performs processes such as database matching, avatar generation using AI models, and the return of various information.

[0488] The "database" is an information management system that stores various information such as user information, customization options, and generated avatar data, and can retrieve it as needed.

[0489] This invention is a system that allows users to set and customize their preferred teacher avatars on an online learning platform. Users can freely customize the appearance and voice of the teacher avatar using a generative AI model to make online learning more enjoyable and effective.

[0490] Hardware and software used

[0491] Hardware: User's PC, smartphone, tablet, etc.

[0492] Software: Online learning platform, servers, databases

[0493] AI model: Generative AI model for avatar generation

[0494] Detailed System Description

[0495] User authentication

[0496] When a user accesses the online learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with its database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[0497] Displaying the settings screen

[0498] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options, allowing the user to begin customization.

[0499] Avatar Customization

[0500] Users can change various customization options for their avatar. For example, they can select "short" hairstyle, "blue" eye color, and "female" voice. The device sends this customization information to the server in real time. The server uses a generative AI model to generate an avatar based on this customization information. The generated avatar is then returned from the server to the device, which displays it to the user in real time.

[0501] Save your avatar

[0502] When the user finishes customizing the avatar and clicks the save button, the device will send the final avatar information to the server, which will save the information in the database and return a save success message to the device, which will then display this message to the user to notify them that the save is complete.

[0503] Start learning online

[0504] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the saved avatar information from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content, including the avatar, to the user and starts the lesson.

[0505] Specific examples

[0506] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the saved avatar information and sends the integrated learning content to the device. In this case, the teacher avatar, whose hairstyle and voice are customized by the user, will conduct the mathematics class. This increases the user's familiarity with the learning content and improves their motivation to learn.

[0507] Prompt Sentence Examples

[0508] "Generate a teacher avatar with short hair, blue eyes, and a female voice."

[0509] The present invention allows users to freely customize teacher avatars according to their preferences, greatly improving the effectiveness and enjoyment of online learning.

[0510] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0511] Step 1: User authentication

[0512] A user accesses an online learning platform and a login screen appears. The user enters their username and password. (Input) Login information (username and password). The terminal sends the entered login information to the server. The server checks the login information against the database. (Data processing) Compares the login information with the information in the database. (Output) Authentication result. If authentication is successful, the server returns an authentication success message to the terminal. The terminal receives this message and displays the main menu to the user. Specifically, the user enters the username "user123" and password "password456", which the terminal encrypts and sends to the server. If this login information matches the database, the server returns an authentication success message.

[0513] Step 2: Display the settings screen

[0514] The user selects the "Avatar Settings" option from the main menu. (Input) The "Avatar Settings" option is selected. The device sends a request to the server to display the settings screen. The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from the database. (Data processing) The customization options are retrieved and converted into JSON format. (Output) The customization options. The server returns the option information to the device. The device displays this, allowing the user to begin customization. Specifically, when the user clicks the "Avatar Settings" button, the device sends an "Avatar Settings Screen Request" to the server. The server retrieves the option information from the database and returns it to the device in JSON format.

[0515] Step 3: Customize your avatar

[0516] The user changes the avatar settings from the displayed customization options. (Input) The user's customization selections (e.g., hairstyle "short," eye color "blue," voice "female"). The device sends the selected customization information to the server in real time. The server uses the generative AI model to create a prompt text and generates an avatar based on the customization information. (Data processing) A prompt text is generated based on the customization information and sent to the AI ​​model. (Output) Generated avatar data. The server returns the generated avatar data to the device. The device displays this to the user in real time. Specifically, if the user selects "hairstyle: short, eye color: blue, voice: female," the device sends this to the server, and the server generates a prompt text and sends it to the AI ​​model. The generated avatar is returned to the device and displayed in real time.

[0517] Step 4: Save your avatar

[0518] The user finishes customizing their avatar and presses the "Save" button. (Input) Final avatar information settings. The device sends this information to the server. The server saves the avatar information in the database. (Data processing) Final avatar information settings are saved in the database. (Output) Save success message. The server returns a save success message to the device. The device displays this message to the user, notifying them that saving is complete. Specifically, when the user clicks the "Save" button, the device sends the final avatar setting information to the server, which saves it in the database. A save success message is returned to the device and displayed to the user.

[0519] Step 5: Start learning online

[0520] The user selects learning content (e.g., the "Mathematics" course) from the main menu and presses the "Start" button. (Input) Learning content selection. The device sends a request to the server to display the learning materials. The server retrieves saved avatar information from the database and integrates it with the learning content. (Data processing) Integrates avatar information and learning content. (Output) Integrated learning content. The server sends the integrated learning content to the device. The device displays this to the user and starts the lesson. In concrete terms, when the user selects the "Mathematics" course and presses the "Start" button, the device sends a "Mathematics course start request" to the server. The server integrates the avatar information with the "Mathematics" learning material data and sends it to the device. The device displays this and the lesson begins.

[0521] (Application example 1)

[0522] 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."

[0523] In order to provide a more user-friendly experience on online platforms, it is necessary to use avatars that can be customized according to individual preferences. In particular, in virtual stores, allowing users to set and customize staff avatars of their choice would make the shopping experience in the virtual store more realistic and enjoyable, but specific technological means to achieve this are lacking.

[0524] 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.

[0525] In this invention, the server includes: means for a user to input login information and send it to the server; means for the server to authenticate the login information and return the authentication result to the terminal; means for the server to send available customization options to the terminal and the terminal to display them; means for a user to customize the appearance and voice of an avatar and for the terminal to send that information to the server; means for the server to generate a customized avatar using a generative AI model and return it to the terminal; means for the user to save the avatar information finally set by the user to the server; means for a user to select content and for the server to integrate the content with the saved avatar information and send it to the terminal; and means for an avatar to greet a user when they enter a virtual store and provide guidance and explain products. This allows users to customize staff avatars to their liking in the virtual store and enjoy a more friendly shopping experience.

[0526] An "online platform" is a digital infrastructure that users can access and use various services via the internet.

[0527] "User" refers to any individual or legal entity using the online platform.

[0528] An "avatar" is a virtual character that allows users to represent themselves online.

[0529] "Settings and customization" refers to the user individually adjusting and changing elements of their avatar, such as its appearance and voice.

[0530] A "system" is a set of devices and programs in which multiple components and functions work in conjunction with each other.

[0531] A "server" refers to a computer or software that provides information or services over a network.

[0532] "Login Information" means the username, password, or other authentication data required by a User to access the Platform.

[0533] "Authentication" is the process of verifying that the login information provided by a user is valid.

[0534] "Terminal" refers to a device used by a user, such as a computer or smartphone.

[0535] "Customization options" refers to various settings that users can select to adjust their avatar.

[0536] A "generative AI model" refers to a program that uses artificial intelligence technology to generate data and create avatars.

[0537] "Content" refers to information and services provided on the Online Platform, in particular digital media such as learning materials and product descriptions.

[0538] A "virtual store" refers to a virtual commercial transaction space that exists on the Internet.

[0539] "Welcome" refers to an avatar greeting and guiding a user when they enter a virtual store.

[0540] "Guidance" refers to the avatar explaining to the user information and services within the virtual store.

[0541] "Product description" refers to the avatar providing the user with a detailed explanation of the product or service's features and how to use it.

[0542] The present invention provides a system that allows users to set and use customizable staff avatars in a virtual store. A specific embodiment of the system will be described below.

[0543] The system runs on an online platform and is composed of a device where users log in, a server, and a generative AI model. First, the user accesses the online platform and enters their username and password on the login screen. The device sends this information to the server, which then compares the received login information with a database for authentication and returns the results to the device. If authentication is successful, the user can access the avatar setting screen.

[0544] When a user selects the "Avatar Settings" option from the settings screen, the device sends a display request to the server. The server retrieves available customization options from the database and sends them to the device. The device displays them, allowing the user to select and change various avatar customization options, such as hairstyle, eye color, voice, and clothing.

[0545] As users customize their devices, they send that information to the server in real time. The server then uses a generative AI model to generate an avatar based on the customization information and returns it to the device, which then displays the generated avatar to the user.

[0546] Once customization is complete and the user presses the save button, the device sends the final avatar information to the server, which stores it in a database. When the user then enters the virtual store, a staff avatar based on the user's saved customization settings will be displayed to guide the user and explain the product.

[0547] Hardware and software used

[0548] Hardware: Smartphones, smart glasses, head-mounted displays

[0549] Software: Virtual store application, generative AI models (e.g., OpenAI's GPT and DALL-E), databases (AWS RDS), cloud services (AWS Lambda, AWS S3)

[0550] Examples of explanatory text

[0551] For example, a user logs in to a virtual store application and accesses the avatar setting screen. They select and save their hairstyle as "long," their voice as "male," and their clothing as "casual." When they then enter the virtual store, an avatar reflecting their selected customizations will greet them and explain the product.

[0552] Prompt Sentence Examples

[0553] A user wants to customize their avatar so that:

[0554] Hairstyle: Long

[0555] Voice: Male

[0556] Dress Code: Casual

[0557] Please create an avatar that meets this requirement.

[0558] This allows users to set their preferred staff avatars in the virtual store, customize them in real time, and save them, and also provides guidance and product explanations within the virtual store, making for a more user-friendly shopping experience.

[0559] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0560] Step 1:

[0561] A user accesses the online platform, enters their login information (username and password), and sends it to the server. The server receives the login information, compares it with a database, and returns the authentication result to the terminal. If the authentication is successful, the terminal displays the main menu to the user.

[0562] Step 2:

[0563] When a user selects the "Avatar Settings" option from the main menu, the device sends a display request to the server. The server retrieves available customization options (hairstyle, eye color, voice, clothing, etc.) from the database and sends them to the device. The device then displays these customization options to the user.

[0564] Step 3:

[0565] The user customizes the appearance and voice of the avatar using the displayed customization options. The device transmits the user's selection information for various customization options to the server in real time. The server uses a generative AI model based on the received customization information to generate a customized avatar and returns the result to the device. The device then displays the generated avatar to the user in real time.

[0566] Step 4:

[0567] When the user finishes customizing the avatar and presses the save button, the device will send the final avatar information to the server, which will save the received avatar information in its database. Once the saving is complete, the server will send a save success message to the device, which the device will display to the user.

[0568] Step 5:

[0569] When a user enters a virtual store, the terminal sends a request to enter the store to the server. The server retrieves the stored customized avatar information from the database, generates a staff avatar based on that information, and sends it to the terminal. The terminal then displays the generated staff avatar to the user.

[0570] Step 6:

[0571] The generated staff avatar provides guidance and product explanations to the user. When a user requests product information, the device sends the request to the server, which then retrieves the corresponding product information from a database and returns it to the device. The device displays the product information to the user and the staff avatar, and the staff avatar explains the product to the user.

[0572] Through the above processing steps, users can set their preferred staff avatars in the virtual store and use them to have a more friendly shopping experience.

[0573] 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.

[0574] This invention combines an emotion engine with a system that allows users to set and customize their own preferred teacher avatars in an online learning platform. The system recognizes the user's emotional state in real time and dynamically adjusts the teacher avatar's movements, facial expressions, and customization options based on that information, thereby providing a more personalized and effective learning experience for users.

[0575] Program processing and specific examples

[0576] User authentication

[0577] When a user accesses the learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with a database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[0578] Displaying the settings screen

[0579] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options and allows the user to begin customization.

[0580] Avatar Customization

[0581] Users can change various customization options for their avatar. For example, they can choose a short hairstyle, blue eyes, and a female voice. The device sends this customization information to the server in real time. The server uses an AI model to generate an avatar based on this customization information. The server then returns the generated avatar to the device, which displays it to the user in real time.

[0582] Incorporating an emotion engine

[0583] While the user is customizing the device, the device analyzes the user's facial expressions, voice, and other data to recognize the user's emotional state in real time. This process is performed by the device's built-in emotion engine. The recognition results are sent to the server, which can then adjust the customization options based on that information. For example, if the user is confused, the system can suggest easier customization options.

[0584] Save your avatar

[0585] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server stores this information in a database and returns a save success message to the device. The device displays this message to the user to notify them that the save is complete. At the same time, the user's emotional data is also stored in the database.

[0586] Start learning online

[0587] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the stored avatar information and emotional data from the database, integrates it with the learning content, and sends it to the device. At this time, the avatar's movements and facial expressions are also adjusted based on the emotional data. The device displays the learning content, including the avatar, to the user and begins the lesson.

[0588] Specific examples

[0589] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. For example, if the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements to explain things more slowly and clearly.

[0590] This invention not only allows users to freely customize their teacher avatars to suit their preferences, but also dynamically adjusts the avatars and content according to their emotional state during learning, thereby increasing users' motivation to learn and providing more personalized and effective education.

[0591] The processing flow will be explained below.

[0592] Specific processing steps of the program (including the emotion engine)

[0593] User authentication

[0594] Step 1:

[0595] The user enters their username and password on the login screen.

[0596] Step 2:

[0597] The device sends the entered username and password to the server.

[0598] Step 3:

[0599] The server checks the login information it receives against its database.

[0600] Step 4:

[0601] The server returns the authentication result to the terminal. If authentication is successful, it generates a session ID and returns an authentication success message and the session ID to the terminal. If authentication fails, it returns an error message.

[0602] Step 5:

[0603] The device will display a successful authentication message to the user and open the main menu, or if authentication fails, will display the login screen again.

[0604] Displaying the settings screen

[0605] Step 1:

[0606] The user selects the "Avatar Settings" option from the main menu.

[0607] Step 2:

[0608] The terminal sends a request to the server to display the setting screen.

[0609] Step 3:

[0610] The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database.

[0611] Step 4:

[0612] The server sends the customization options to the device.

[0613] Step 5:

[0614] The device displays the received customization options and the user begins customization.

[0615] Avatar Customization

[0616] Step 1:

[0617] The user selects customization options such as hairstyle, eye color, clothing, and voice.

[0618] Step 2:

[0619] The terminal transmits the selected customization information to the server in real time.

[0620] Step 3:

[0621] The server uses the AI ​​model to generate an avatar based on the customization information.

[0622] Step 4:

[0623] The server returns the generated avatar image and audio data to the terminal.

[0624] Step 5:

[0625] The device displays the generated avatar to the user in real time.

[0626] Incorporating an emotion engine

[0627] Step 1:

[0628] While the user is customizing, the device analyzes the user's facial expressions and voice using an emotion engine.

[0629] Step 2:

[0630] The device uses an emotion engine to recognize the user's emotional state in real time.

[0631] Step 3:

[0632] The device transmits the recognized emotional state to the server.

[0633] Step 4:

[0634] The server adjusts customization options based on the emotion data and sends them to the device.

[0635] Step 5:

[0636] The device presents tailored customization options to the user.

[0637] Save your avatar

[0638] Step 1:

[0639] The user completes avatar customization and hits the save button.

[0640] Step 2:

[0641] The terminal transmits the final set avatar information to the server.

[0642] Step 3:

[0643] The server stores the avatar information and emotion data in a database.

[0644] Step 4:

[0645] The server returns a save success message to the terminal.

[0646] Step 5:

[0647] The device displays a successful save message to the user.

[0648] Start learning online

[0649] Step 1:

[0650] The user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button.

[0651] Step 2:

[0652] The terminal sends a request to start the selected learning content to the server.

[0653] Step 3:

[0654] The server retrieves the stored avatar information and emotion data from the database.

[0655] Step 4:

[0656] The server adjusts the teacher avatar's movements and facial expressions based on the user's emotional data and integrates them with the learning content.

[0657] Step 5:

[0658] The server transmits the integrated learning content to the terminal.

[0659] Step 6:

[0660] The device displays the integrated learning content (including the teacher avatar) to the user and begins the lesson.

[0661] Specific examples

[0662] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. If the user's emotional state is recognized as "confused," the teacher avatar will adjust its movements and facial expressions to explain things more carefully and slowly, thereby improving the user's understanding during the learning process.

[0663] This invention not only allows users to freely customize their teacher avatars to suit their preferences, but also dynamically adjusts the avatars and content according to their emotional state during learning, thereby increasing users' motivation to learn and providing more personalized and effective education.

[0664] Example 2

[0665] 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."

[0666] Traditional online learning platforms lack personalization of the user's learning experience, particularly the lack of dynamic customization based on emotional state. This can lead to a decrease in user motivation and comprehension. Additionally, avatar customization is not reflected in real time, meaning users cannot see the results immediately, which can be inconvenient.

[0667] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: a means for a user to input login information and transmit it to the server; a means for the server to authenticate the login information and return the authentication result to the terminal; a means for the server to transmit available customization options to the terminal and display them; a means for the user to customize the appearance and voice of an avatar and for the terminal to transmit the information to the server; a means for the server to generate a customized avatar using a generative AI model and return it to the terminal; a means for the terminal to recognize the user's emotions in real time and transmit the recognition result to the server; a means for the server to dynamically adjust the customization options based on the user's emotional state; a means for the user to save the user's finalized avatar information to the server; and a means for the user to select learning content and for the server to integrate the learning content with the saved avatar information and emotional data and transmit the selected learning content to the terminal. This allows for personalized learning experiences for users, enabling appropriate customization based on emotional states and real-time avatar generation.

[0668] An "online learning platform" is a system that provides learning content via the Internet, and refers to an environment in which users can learn remotely.

[0669] "User" refers to an individual who uses the system to access learning content and customize their avatar.

[0670] A "terminal" is a device used by a user to access the system, including a personal computer or smartphone.

[0671] "Server" refers to a computing system that processes data based on a user's request and returns the results to the terminal.

[0672] "Login Information" refers to information such as username and password for authenticating a user.

[0673] "Authentication result" refers to information indicating the success or failure of authentication that is returned to the terminal after the server has verified the login information.

[0674] "Customization options" refers to settings that users can select to change their avatar's appearance, voice, etc.

[0675] "Avatar" refers to a graphic of a person or character that appears in place of a user on an online learning platform.

[0676] "Generative AI model" refers to an artificial intelligence algorithm for generating an avatar based on user customization information.

[0677] An "emotion engine" refers to a program that analyzes a user's facial expressions and voice to recognize their emotional state.

[0678] "Emotional state" refers to the mental or emotional state a user is in while customizing or learning.

[0679] "Learning Content" refers to the learning materials and lessons provided on the Online Learning Platform.

[0680] This invention is a system that allows users to set and customize their own teacher avatar in an online learning platform. The system recognizes the user's emotional state in real time and dynamically adjusts the teacher avatar's movements, facial expressions, and customization options based on that information, thereby providing a more personalized and effective learning experience.

[0681] First, when a user accesses the learning platform, a login screen appears on the device. The user enters their login information (username and password), and the device sends this information to the server. The server authenticates the login information and returns an authentication result of success or failure to the device. If authentication is successful, the device displays the main menu, and the user can continue learning.

[0682] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from the database and sends them to the device. The device then displays these options, allowing the user to begin customizing their avatar.

[0683] Next, when the user selects avatar customization options, the device sends this customization information to the server in real time. The server uses the generative AI model to generate an avatar based on this customization information and returns the generated avatar to the device. The device then displays the generated avatar to the user in real time, allowing the user to instantly see the results of their customization.

[0684] While the user is customizing the device, the device analyzes the user's facial expressions and voice using an emotion engine to recognize the user's emotional state in real time. The recognition results are sent to the server, which then dynamically adjusts the customization options based on the user's emotional state. For example, if the user is confused, the server will send easier customization options to the device and suggest them to the user.

[0685] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server stores this information in a database and returns a save success message to the device. The device displays this message to notify the user that the save is complete. At the same time, the user's emotional data is also stored in the database.

[0686] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the stored avatar information and emotion data from the database, integrates them with the learning content, and sends them to the device. The device displays the learning content including the avatar, and the user begins learning.

[0687] Specific examples

[0688] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. For example, if the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements to explain things more slowly and clearly.

[0689] Prompt Sentence Examples

[0690] "Describe a system where a user logs into a learning platform and, while customizing their avatar, the avatar dynamically adjusts based on the user's emotional state."

[0691] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0692] Step 1:

[0693] A user accesses the learning platform. When the user enters login information (username and password), the terminal sends this information to the server. The server checks the login information against a database and determines whether authentication is successful or not. The authentication result is returned to the terminal, and if authentication is successful, the terminal displays the main menu. The input is the user name and password, and the output is the authentication result.

[0694] Step 2:

[0695] The user selects the "Avatar Settings" option from the main menu. The device sends a request to the server to display the settings screen. The server retrieves the available customization options (hairstyle, eye color, clothing, voice, etc.) from the database and sends them to the device. The device displays these options, allowing the user to begin customization. The input is a request to display the settings screen, and the output is a list of customization options.

[0696] Step 3:

[0697] The user changes the avatar customization options. The device sends this customization information (e.g., setting the hairstyle to "short," the eye color to "blue," and the voice to "female") to the server in real time. The server uses a generative AI model to generate an avatar based on the customization information and returns the generated avatar to the device. The device displays the generated avatar to the user in real time. The input is the customization information, and the output is the generated avatar.

[0698] Step 4:

[0699] While the user is customizing the device, the device analyzes the user's facial expressions and voice using an emotion engine to recognize the user's emotional state in real time. The recognition results are sent to the server, which then dynamically adjusts the customization options based on the user's emotional state. For example, if the user is confused, the server will send easier customization options to the device and suggest them to the user. The input is the user's facial expressions and voice, and the output is the adjusted customization options.

[0700] Step 5:

[0701] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server saves this information in a database and returns a save success message to the device. The device displays this message to the user to notify them that the save is complete. At the same time, the user's emotion data is also saved in the database. The input is the final avatar information, and the output is a save success message.

[0702] Step 6:

[0703] The user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button. The device sends a request to display the learning material to the server. The server retrieves the saved avatar information and emotion data from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content including the avatar, and the user begins learning. The input is the request to display the learning content, and the output is the integrated learning content.

[0704] (Application example 2)

[0705] 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."

[0706] Current online learning platforms do not allow users to customize their teacher avatars or dynamically adjust the learning experience based on their emotional state. This leads to poor learning outcomes and a lack of motivation. Furthermore, virtual stores offering virtual experiences often struggle to improve customer satisfaction due to a lack of personalized user experiences.

[0707] 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 a user to input login information and transmit it to the server; means for the server to authenticate the login information and return the authentication result to the terminal; means for the server to transmit available customization options to the terminal and the terminal to display them; means for a user to customize the appearance and voice of an avatar and for the terminal to transmit the information to the server; means for the server to generate a customized avatar using an AI model and return it to the terminal; means for an emotion engine built into the terminal to recognize the user's emotional state and transmit the information to the server in real time; means for the server to dynamically adjust the customization options based on the emotional state and transmit them to the terminal; means for the user to save the user's final avatar information to the server; and means for the user to select learning content and for the server to integrate the selected learning content with the saved avatar information and transmit it to the terminal. This allows the user to customize the teacher avatar to their liking, and the avatar and learning content are dynamically adjusted based on the user's emotional state, making the learning experience more personalized, improving learning effectiveness and increasing motivation to learn.

[0708] An "online learning platform" is a system that uses the Internet to provide educational content and allow users to learn online.

[0709] "User" means any individual or entity that accesses the online learning platform and uses the learning content.

[0710] A "teacher avatar" is a virtual character that can be customized by users to deliver learning content on an online learning platform.

[0711] "Customization options" refer to various options that allow users to change the teacher avatar's appearance, voice, etc.

[0712] The "emotion engine" is software that analyzes the user's facial expressions and voice to recognize the user's emotional state in real time.

[0713] "Device" means the device a user uses to access the online learning platform, such as a smartphone, tablet, or computer.

[0714] "Server" means a computer system that provides various services of the online learning platform, processes user requests, and manages data.

[0715] An "AI model" is a program that uses artificial intelligence algorithms to generate and process various data based on a user's customization information and emotional state.

[0716] A "database" is a system for managing and storing data such as user information, avatar information, and customization options.

[0717] "Dynamic adjustment" refers to automatically changing an avatar's behavior, facial expressions, and customization options in real time based on the user's emotional state.

[0718] This invention is a system for an online learning platform that allows users to set and customize their preferred teacher avatars, and by combining it with an emotion engine, personalizes the learning experience according to the user's emotional state. Specific methods for realizing this system are described below.

[0719] First, when a user accesses an online learning platform, they use a device such as a smartphone, tablet, or computer. The user enters their username and password on the login screen, and the entered information is sent from the device to the cloud server. The cloud server performs authentication using Firebase Auth or AWS Cognito and returns the authentication result to the device.

[0720] Next, when the user selects "Avatar Settings" from the main menu, the cloud server retrieves available customization options from the database and sends them to the device, which then displays these options (e.g., hairstyle, eye color, clothing, voice, etc.) and allows the user to select settings.

[0721] Once a user selects a customization option, that information is sent in real time to a cloud server, which uses a generative AI model to generate an avatar based on the selected customization options and returns the resulting video and audio data to the device, allowing the user to instantly see the results of their customization.

[0722] Furthermore, this system uses an emotion engine built into the device to analyze the user's facial expressions and voice to recognize their emotional state in real time. The software used includes facial recognition libraries (e.g., OpenCV and Dlib) and emotion recognition AI (e.g., Hugging Face emotion recognition model, DeepFace, etc.). The recognized emotion data is sent to a cloud server.

[0723] The cloud server dynamically adjusts customization options based on this emotional data. Specifically, if the user is confused, it suggests simpler customization options, and if the user shows interest, it presents more detailed options. Additionally, while the user is using the learning content, the cloud server constantly adjusts the avatar's movements and facial expressions based on the emotional data to provide appropriate feedback.

[0724] When the user completes the final customization and presses the save button, the device sends the final avatar information to the cloud server, which stores the information in a database and returns a save success message to the device. At the same time, the emotion data is also stored in the database.

[0725] When starting learning content, the user selects a learning course (e.g., "Mathematics") from the main menu, and the cloud server integrates the learning content with the stored avatar information and sends it to the device. The device displays the learning content including the avatar and dynamically adjusts the content according to the user's emotional state.

[0726] Examples and prompts:

[0727] For example, when a user selects the "Mathematics" course and presses the start button, the cloud server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. If the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements and expressions to explain things more slowly and clearly.

[0728] Example prompt sentence:

[0729] "The emotion engine should analyze the user's emotions in real time based on the current facial recognition data, and provide the most appropriate avatar function according to the user's emotional state. For example, if the user is confused, the assistant avatar should take slower, more clearly explained actions."

[0730] This system configuration allows users to customize the teacher avatar to their liking, and the avatar and content are dynamically adjusted according to the user's emotional state during learning, thereby improving learning effectiveness and the user's motivation to learn.

[0731] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0732] Step 1: User authentication

[0733] A user accesses an online learning platform on a device and enters a username and password on the login screen. The input information is sent from the device to a cloud server. The server performs authentication using Firebase Auth or AWS Cognito and returns the authentication result to the device. The input data is the username and password, and the output data is the authentication result. The server checks the authentication information against a database and returns a result of authentication success or failure.

[0734] Step 2: Display the avatar setting screen

[0735] When a user selects "Avatar Settings" from the main menu, the device sends a request to the server. The server retrieves available customization options from the database and sends them to the device. The input data is the "Avatar Settings" selection request, and the output data is the customization options. The server retrieves the customization options (hairstyle, eye color, clothing, voice) and passes them to the device.

[0736] Step 3: Customize your avatar

[0737] The user selects various customization options, which are reflected on the device in real time. The information selected by the user is sent from the device to a server, and the server uses a generative AI model to generate a customized avatar. The input data is the customization information selected by the user, and the output data is the customized avatar. The server's AI model creates image and audio data based on the customization information and sends them to the device.

[0738] Step 4: Incorporating the Emotion Engine

[0739] While the user is customizing the device, the device's built-in emotion engine uses the camera and microphone to analyze the user's face and voice and recognize their emotional state in real time. The emotional state data is sent from the device to the server. The input data is the user's face and voice, and the output data is their emotional state. The device uses libraries such as OpenCV and DeepFace to generate emotion data and send it to the server.

[0740] Step 5: Dynamic Adjustment

[0741] The server dynamically adjusts the customization options based on the received emotional data. For example, if the user is confused, the server proposes simple customization options and sends them to the device. The input data is the emotional state, and the output data is the adjusted customization options. The server generates appropriate proposals based on the results of the emotional data analysis and presents them to the user.

[0742] Step 6: Save your avatar

[0743] When the user completes customization and presses the save button, the device sends the final avatar information to the server. The server saves this information in the database and returns a save success message to the device. At the same time, emotion data is also saved. The input data is the avatar information, and the output data is a save confirmation message. The avatar information and emotion data are saved in the database, and a confirmation is given that the save was successful.

[0744] Step 7: Start learning online

[0745] When a user selects learning content (e.g., a "Mathematics" course) from the main menu, the terminal sends a display request to the server. The server retrieves the stored avatar information and emotion data from the database, integrates it with the learning content, and sends it to the terminal. The input data is the learning content selection request, and the output data is the integrated learning content. The server adjusts the learning content based on the avatar information and emotion data and provides it to the user.

[0746] Through the above processing steps, users can customize the teacher avatar to their liking, and the avatar and content are dynamically adjusted according to the user's emotional state during learning, thereby improving learning effectiveness and increasing motivation to learn.

[0747] 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.

[0748] 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.

[0749] 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.

[0750] [Third embodiment]

[0751] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0752] 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.

[0753] 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).

[0754] 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.

[0755] 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.

[0756] 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).

[0757] 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. 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.

[0758] 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.

[0759] 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.

[0760] 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.

[0761] 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.

[0762] 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."

[0763] This invention is a system that allows users to set and customize their preferred teacher avatars on an online learning platform. The system uses AI to freely customize the appearance and voice of the teacher avatar, making online learning more enjoyable and effective.

[0764] Program processing and specific examples

[0765] User authentication

[0766] When a user accesses the learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with a database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[0767] Displaying the settings screen

[0768] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options, allowing the user to begin customization.

[0769] Avatar Customization

[0770] Users can change various customization options for their avatar. For example, they can choose a short hairstyle, blue eyes, and a female voice. The device sends this customization information to the server in real time. The server uses an AI model to generate an avatar based on this customization information. The server then returns the generated avatar to the device, which displays it to the user in real time.

[0771] Save your avatar

[0772] When the user finishes customizing the avatar and clicks the save button, the device will send the final avatar information to the server, which will save the information in the database and return a save success message to the device, which will then display this message to the user to notify them that the save is complete.

[0773] Start learning online

[0774] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the saved avatar information from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content, including the avatar, to the user and starts the lesson.

[0775] Specific examples

[0776] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the saved avatar information and sends the integrated learning content to the device. In this case, the teacher avatar, which reflects the user's customized hairstyle and voice, will conduct the mathematics class. This makes the learning content more familiar to the user and increases their motivation to learn.

[0777] The present invention allows users to freely customize teacher avatars according to their preferences, greatly improving the effectiveness and enjoyment of online learning.

[0778] The processing flow will be explained below.

[0779] Specific processing steps of the program

[0780] User authentication

[0781] Step 1:

[0782] The user enters their username and password on the login screen.

[0783] Step 2:

[0784] The device sends the entered username and password to the server.

[0785] Step 3:

[0786] The server checks the login information it receives against its database.

[0787] Step 4:

[0788] The server returns the authentication result to the terminal. If authentication is successful, it generates a session ID and returns an authentication success message and the session ID to the terminal. If authentication fails, it returns an error message.

[0789] Step 5:

[0790] The device will display a successful authentication message to the user and open the main menu, or if authentication fails, will display the login screen again.

[0791] Displaying the settings screen

[0792] Step 1:

[0793] The user selects the "Avatar Settings" option from the main menu.

[0794] Step 2:

[0795] The terminal sends a request to the server to display the avatar setting screen.

[0796] Step 3:

[0797] The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database.

[0798] Step 4:

[0799] The server sends the customization options to the device.

[0800] Step 5:

[0801] The device displays the received customization options and the user begins customization.

[0802] Avatar Customization

[0803] Step 1:

[0804] The user selects customization options such as hairstyle, eye color, clothing, and voice.

[0805] Step 2:

[0806] The terminal transmits the selected customization information to the server in real time.

[0807] Step 3:

[0808] The server uses the AI ​​model to generate an avatar based on the customization information.

[0809] Step 4:

[0810] The server returns the generated avatar image and audio data to the terminal.

[0811] Step 5:

[0812] The device displays the generated avatar to the user in real time.

[0813] Save your avatar

[0814] Step 1:

[0815] The user completes avatar customization and hits the save button.

[0816] Step 2:

[0817] The terminal transmits the final set avatar information to the server.

[0818] Step 3:

[0819] The server stores the received avatar information in a database.

[0820] Step 4:

[0821] The server returns a save success message to the terminal.

[0822] Step 5:

[0823] The device displays a successful save message to the user.

[0824] Start learning online

[0825] Step 1:

[0826] The user selects learning content from the main menu and presses the start button.

[0827] Step 2:

[0828] The terminal sends a request to start the selected learning content to the server.

[0829] Step 3:

[0830] The server retrieves the saved avatar information from the database.

[0831] Step 4:

[0832] The server integrates the avatar information with the learning content.

[0833] Step 5:

[0834] The server transmits the integrated learning content to the terminal.

[0835] Step 6:

[0836] The device displays the integrated learning content (including the teacher avatar) to the user and begins the lesson.

[0837] Example 1

[0838] 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."

[0839] Online learning platforms lack the means to motivate users to learn. In addition, there are limited ways to customize the quality of education to suit individual preferences. There is a need for a system that allows users to flexibly customize their preferred teacher avatars and check the customization in real time.

[0840] 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.

[0841] In this invention, the server includes means for a user to input login information and transmit it to the server, means for authenticating the login information and returning the authentication result to the terminal, means for transmitting available customization options to the terminal and displaying them, means for a user to customize the appearance and voice of an avatar and for the terminal to transmit that information to the server, means for generating a customized avatar using a generative AI model and returning it to the terminal, means for saving the final avatar information to the server, means for selecting learning content and integrating it with the saved avatar information and transmitting it to the terminal, and means for updating and displaying the generated avatar data in real time. This allows users to flexibly configure and save their preferred avatars and check them in real time as they progress through their studies.

[0842] "User authentication" is the process of verifying that a user is a legitimate user by entering a username and password when accessing an online learning platform.

[0843] "Customization options" are choices and settings provided to allow users to freely set and change the characteristics of their teacher avatar, such as its appearance and voice.

[0844] A "generative AI model" is an artificial intelligence algorithm that automatically generates the appearance and voice of a teacher avatar based on customization information entered by the user.

[0845] A "prompt sentence" is an instruction sentence used to make a specific generation request to a generative AI model.

[0846] "Real-time updates" is a feature that allows changes made to a user's avatar to be reflected immediately and displayed to the user when the user customizes the avatar.

[0847] "Login Information" means the authentication information, such as username and password, that a User enters to access the Online Learning Platform.

[0848] "Device" means the electronic device used by a User to access and operate the online learning platform, including a PC, smartphone, tablet, etc.

[0849] A "server" is a central processing unit in an online learning platform that receives requests from users and performs processes such as database matching, avatar generation using AI models, and the return of various information.

[0850] The "database" is an information management system that stores various information such as user information, customization options, and generated avatar data, and can retrieve it as needed.

[0851] This invention is a system that allows users to set and customize their preferred teacher avatars on an online learning platform. Users can freely customize the appearance and voice of the teacher avatar using a generative AI model to make online learning more enjoyable and effective.

[0852] Hardware and software used

[0853] Hardware: User's PC, smartphone, tablet, etc.

[0854] Software: Online learning platform, servers, databases

[0855] AI model: Generative AI model for avatar generation

[0856] Detailed System Description

[0857] User authentication

[0858] When a user accesses the online learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with its database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[0859] Displaying the settings screen

[0860] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options, allowing the user to begin customization.

[0861] Avatar Customization

[0862] Users can change various customization options for their avatar. For example, they can select "short" hairstyle, "blue" eye color, and "female" voice. The device sends this customization information to the server in real time. The server uses a generative AI model to generate an avatar based on this customization information. The generated avatar is then returned from the server to the device, which displays it to the user in real time.

[0863] Save your avatar

[0864] When the user finishes customizing the avatar and clicks the save button, the device will send the final avatar information to the server, which will save the information in the database and return a save success message to the device, which will then display this message to the user to notify them that the save is complete.

[0865] Start learning online

[0866] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the saved avatar information from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content, including the avatar, to the user and starts the lesson.

[0867] Specific examples

[0868] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the saved avatar information and sends the integrated learning content to the device. In this case, the teacher avatar, whose hairstyle and voice are customized by the user, will conduct the mathematics class. This increases the user's familiarity with the learning content and improves their motivation to learn.

[0869] Prompt Sentence Examples

[0870] "Generate a teacher avatar with short hair, blue eyes, and a female voice."

[0871] The present invention allows users to freely customize teacher avatars according to their preferences, greatly improving the effectiveness and enjoyment of online learning.

[0872] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0873] Step 1: User authentication

[0874] A user accesses an online learning platform and a login screen appears. The user enters their username and password. (Input) Login information (username and password). The terminal sends the entered login information to the server. The server checks the login information against the database. (Data processing) Compares the login information with the information in the database. (Output) Authentication result. If authentication is successful, the server returns an authentication success message to the terminal. The terminal receives this message and displays the main menu to the user. Specifically, the user enters the username "user123" and password "password456", which the terminal encrypts and sends to the server. If this login information matches the database, the server returns an authentication success message.

[0875] Step 2: Display the settings screen

[0876] The user selects the "Avatar Settings" option from the main menu. (Input) The "Avatar Settings" option is selected. The device sends a request to the server to display the settings screen. The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from the database. (Data processing) The customization options are retrieved and converted into JSON format. (Output) The customization options. The server returns the option information to the device. The device displays this, allowing the user to begin customization. Specifically, when the user clicks the "Avatar Settings" button, the device sends an "Avatar Settings Screen Request" to the server. The server retrieves the option information from the database and returns it to the device in JSON format.

[0877] Step 3: Customize your avatar

[0878] The user changes the avatar settings from the displayed customization options. (Input) The user's customization selections (e.g., hairstyle "short," eye color "blue," voice "female"). The device sends the selected customization information to the server in real time. The server uses the generative AI model to create a prompt text and generates an avatar based on the customization information. (Data processing) A prompt text is generated based on the customization information and sent to the AI ​​model. (Output) Generated avatar data. The server returns the generated avatar data to the device. The device displays this to the user in real time. Specifically, if the user selects "hairstyle: short, eye color: blue, voice: female," the device sends this to the server, and the server generates a prompt text and sends it to the AI ​​model. The generated avatar is returned to the device and displayed in real time.

[0879] Step 4: Save your avatar

[0880] The user finishes customizing their avatar and presses the "Save" button. (Input) Final avatar information settings. The device sends this information to the server. The server saves the avatar information in the database. (Data processing) Final avatar information settings are saved in the database. (Output) Save success message. The server returns a save success message to the device. The device displays this message to the user, notifying them that saving is complete. Specifically, when the user clicks the "Save" button, the device sends the final avatar setting information to the server, which saves it in the database. A save success message is returned to the device and displayed to the user.

[0881] Step 5: Start learning online

[0882] The user selects learning content (e.g., the "Mathematics" course) from the main menu and presses the "Start" button. (Input) Learning content selection. The device sends a request to the server to display the learning materials. The server retrieves saved avatar information from the database and integrates it with the learning content. (Data processing) Integrates avatar information and learning content. (Output) Integrated learning content. The server sends the integrated learning content to the device. The device displays this to the user and starts the lesson. In concrete terms, when the user selects the "Mathematics" course and presses the "Start" button, the device sends a "Mathematics course start request" to the server. The server integrates the avatar information with the "Mathematics" learning material data and sends it to the device. The device displays this and the lesson begins.

[0883] (Application example 1)

[0884] 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."

[0885] In order to provide a more user-friendly experience on online platforms, it is necessary to use avatars that can be customized according to individual preferences. In particular, in virtual stores, allowing users to set and customize staff avatars of their choice would make the shopping experience in the virtual store more realistic and enjoyable, but specific technological means to achieve this are lacking.

[0886] 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.

[0887] In this invention, the server includes: means for a user to input login information and send it to the server; means for the server to authenticate the login information and return the authentication result to the terminal; means for the server to send available customization options to the terminal and the terminal to display them; means for a user to customize the appearance and voice of an avatar and for the terminal to send that information to the server; means for the server to generate a customized avatar using a generative AI model and return it to the terminal; means for the user to save the avatar information finally set by the user to the server; means for a user to select content and for the server to integrate the content with the saved avatar information and send it to the terminal; and means for an avatar to greet a user when they enter a virtual store and provide guidance and explain products. This allows users to customize staff avatars to their liking in the virtual store and enjoy a more friendly shopping experience.

[0888] An "online platform" is a digital infrastructure that users can access and use various services via the internet.

[0889] "User" refers to any individual or legal entity using the online platform.

[0890] An "avatar" is a virtual character that allows users to represent themselves online.

[0891] "Settings and customization" refers to the user individually adjusting and changing elements of their avatar, such as its appearance and voice.

[0892] A "system" is a set of devices and programs in which multiple components and functions work in conjunction with each other.

[0893] A "server" refers to a computer or software that provides information or services over a network.

[0894] "Login Information" means the username, password, or other authentication data required by a User to access the Platform.

[0895] "Authentication" is the process of verifying that the login information provided by a user is valid.

[0896] "Terminal" refers to a device used by a user, such as a computer or smartphone.

[0897] "Customization options" refers to various settings that users can select to adjust their avatar.

[0898] A "generative AI model" refers to a program that uses artificial intelligence technology to generate data and create avatars.

[0899] "Content" refers to information and services provided on the Online Platform, in particular digital media such as learning materials and product descriptions.

[0900] A "virtual store" refers to a virtual commercial transaction space that exists on the Internet.

[0901] "Welcome" refers to an avatar greeting and guiding a user when they enter a virtual store.

[0902] "Guidance" refers to the avatar explaining to the user information and services within the virtual store.

[0903] "Product description" refers to the avatar providing the user with a detailed explanation of the product or service's features and how to use it.

[0904] The present invention provides a system that allows users to set and use customizable staff avatars in a virtual store. A specific embodiment of the system will be described below.

[0905] The system runs on an online platform and is composed of a device where users log in, a server, and a generative AI model. First, the user accesses the online platform and enters their username and password on the login screen. The device sends this information to the server, which then compares the received login information with a database for authentication and returns the results to the device. If authentication is successful, the user can access the avatar setting screen.

[0906] When a user selects the "Avatar Settings" option from the settings screen, the device sends a display request to the server. The server retrieves available customization options from the database and sends them to the device. The device displays them, allowing the user to select and change various avatar customization options, such as hairstyle, eye color, voice, and clothing.

[0907] As the user customizes their device, the device sends that information to the server in real time. The server uses a generative AI model to generate an avatar based on the customization information and returns it to the device. The device then displays the generated avatar to the user.

[0908] Once customization is complete and the user presses the save button, the device sends the final avatar information to the server, which stores it in a database. When the user then enters the virtual store, a staff avatar based on the user's saved customization settings will be displayed to guide the user and explain the product.

[0909] Hardware and software used

[0910] Hardware: Smartphones, smart glasses, head-mounted displays

[0911] Software: Virtual store application, generative AI models (e.g., OpenAI's GPT and DALL-E), databases (AWS RDS), cloud services (AWS Lambda, AWS S3)

[0912] Examples of explanatory text

[0913] For example, a user logs in to a virtual store application and accesses the avatar setting screen. They select and save their hairstyle as "long," their voice as "male," and their clothing as "casual." When they then enter the virtual store, an avatar reflecting their selected customizations will greet them and explain the product.

[0914] Prompt Sentence Examples

[0915] A user wants to customize their avatar so that:

[0916] Hairstyle: Long

[0917] Voice: Male

[0918] Dress Code: Casual

[0919] Please create an avatar that meets this requirement.

[0920] This allows users to set their preferred staff avatars in the virtual store, customize them in real time, and save them, and also provides guidance and product explanations within the virtual store, making for a more user-friendly shopping experience.

[0921] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0922] Step 1:

[0923] A user accesses the online platform, enters their login information (username and password), and sends it to the server. The server receives the login information, compares it with a database, and returns the authentication result to the terminal. If the authentication is successful, the terminal displays the main menu to the user.

[0924] Step 2:

[0925] When a user selects the "Avatar Settings" option from the main menu, the device sends a display request to the server. The server retrieves available customization options (hairstyle, eye color, voice, clothing, etc.) from the database and sends them to the device. The device then displays these customization options to the user.

[0926] Step 3:

[0927] The user customizes the appearance and voice of the avatar using the displayed customization options. The device transmits the user's selection information for various customization options to the server in real time. The server uses a generative AI model based on the received customization information to generate a customized avatar and returns the result to the device. The device then displays the generated avatar to the user in real time.

[0928] Step 4:

[0929] When the user finishes customizing the avatar and presses the save button, the device will send the final avatar information to the server, which will save the received avatar information in its database. Once the saving is complete, the server will send a save success message to the device, which the device will display to the user.

[0930] Step 5:

[0931] When a user enters a virtual store, the terminal sends a request to enter the store to the server. The server retrieves the stored customized avatar information from the database, generates a staff avatar based on that information, and sends it to the terminal. The terminal then displays the generated staff avatar to the user.

[0932] Step 6:

[0933] The generated staff avatar provides guidance and product explanations to the user. When a user requests product information, the device sends the request to the server, which then retrieves the corresponding product information from a database and returns it to the device. The device displays the product information to the user and the staff avatar, and the staff avatar explains the product to the user.

[0934] Through the above processing steps, users can set their preferred staff avatars in the virtual store and use them to have a more friendly shopping experience.

[0935] 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.

[0936] This invention combines an emotion engine with a system that allows users to set and customize their own preferred teacher avatars in an online learning platform. The system recognizes the user's emotional state in real time and dynamically adjusts the teacher avatar's movements, facial expressions, and customization options based on that information, thereby providing a more personalized and effective learning experience for users.

[0937] Program processing and specific examples

[0938] User authentication

[0939] When a user accesses the learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with a database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[0940] Displaying the settings screen

[0941] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options and allows the user to begin customization.

[0942] Avatar Customization

[0943] Users can change various customization options for their avatar. For example, they can choose a short hairstyle, blue eyes, and a female voice. The device sends this customization information to the server in real time. The server uses an AI model to generate an avatar based on this customization information. The server then returns the generated avatar to the device, which displays it to the user in real time.

[0944] Incorporating an emotion engine

[0945] While the user is customizing the device, the device analyzes the user's facial expressions, voice, and other data to recognize the user's emotional state in real time. This process is performed by the device's built-in emotion engine. The recognition results are sent to the server, which can then adjust the customization options based on that information. For example, if the user is confused, the system can suggest easier customization options.

[0946] Save your avatar

[0947] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server stores this information in a database and returns a save success message to the device. The device displays this message to the user to notify them that the save is complete. At the same time, the user's emotional data is also stored in the database.

[0948] Start learning online

[0949] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the stored avatar information and emotional data from the database, integrates it with the learning content, and sends it to the device. At this time, the avatar's movements and facial expressions are also adjusted based on the emotional data. The device displays the learning content, including the avatar, to the user and begins the lesson.

[0950] Specific examples

[0951] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. For example, if the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements to explain things more slowly and clearly.

[0952] This invention not only allows users to freely customize their teacher avatars to suit their preferences, but also dynamically adjusts the avatars and content according to their emotional state during learning, thereby increasing users' motivation to learn and providing more personalized and effective education.

[0953] The processing flow will be explained below.

[0954] Specific processing steps of the program (including the emotion engine)

[0955] User authentication

[0956] Step 1:

[0957] The user enters their username and password on the login screen.

[0958] Step 2:

[0959] The device sends the entered username and password to the server.

[0960] Step 3:

[0961] The server checks the login information it receives against its database.

[0962] Step 4:

[0963] The server returns the authentication result to the terminal. If authentication is successful, it generates a session ID and returns an authentication success message and the session ID to the terminal. If authentication fails, it returns an error message.

[0964] Step 5:

[0965] The device will display a successful authentication message to the user and open the main menu, or if authentication fails, will display the login screen again.

[0966] Displaying the settings screen

[0967] Step 1:

[0968] The user selects the "Avatar Settings" option from the main menu.

[0969] Step 2:

[0970] The terminal sends a request to the server to display the setting screen.

[0971] Step 3:

[0972] The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database.

[0973] Step 4:

[0974] The server sends the customization options to the device.

[0975] Step 5:

[0976] The device displays the received customization options and the user begins customization.

[0977] Avatar Customization

[0978] Step 1:

[0979] The user selects customization options such as hairstyle, eye color, clothing, and voice.

[0980] Step 2:

[0981] The terminal transmits the selected customization information to the server in real time.

[0982] Step 3:

[0983] The server uses the AI ​​model to generate an avatar based on the customization information.

[0984] Step 4:

[0985] The server returns the generated avatar image and audio data to the terminal.

[0986] Step 5:

[0987] The device displays the generated avatar to the user in real time.

[0988] Incorporating an emotion engine

[0989] Step 1:

[0990] While the user is customizing, the device analyzes the user's facial expressions and voice using an emotion engine.

[0991] Step 2:

[0992] The device uses an emotion engine to recognize the user's emotional state in real time.

[0993] Step 3:

[0994] The device transmits the recognized emotional state to the server.

[0995] Step 4:

[0996] The server adjusts customization options based on the emotion data and sends them to the device.

[0997] Step 5:

[0998] The device presents tailored customization options to the user.

[0999] Save your avatar

[1000] Step 1:

[1001] The user completes avatar customization and hits the save button.

[1002] Step 2:

[1003] The terminal transmits the final set avatar information to the server.

[1004] Step 3:

[1005] The server stores the avatar information and emotion data in a database.

[1006] Step 4:

[1007] The server returns a save success message to the terminal.

[1008] Step 5:

[1009] The device displays a successful save message to the user.

[1010] Start learning online

[1011] Step 1:

[1012] The user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button.

[1013] Step 2:

[1014] The terminal sends a request to start the selected learning content to the server.

[1015] Step 3:

[1016] The server retrieves the stored avatar information and emotion data from the database.

[1017] Step 4:

[1018] The server adjusts the teacher avatar's movements and facial expressions based on the user's emotional data and integrates them with the learning content.

[1019] Step 5:

[1020] The server transmits the integrated learning content to the terminal.

[1021] Step 6:

[1022] The device displays the integrated learning content (including the teacher avatar) to the user and begins the lesson.

[1023] Specific examples

[1024] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. If the user's emotional state is recognized as "confused," the teacher avatar will adjust its movements and facial expressions to explain things more carefully and slowly, thereby improving the user's understanding during the learning process.

[1025] This invention not only allows users to freely customize their teacher avatars to suit their preferences, but also dynamically adjusts the avatars and content according to their emotional state during learning, thereby increasing users' motivation to learn and providing more personalized and effective education.

[1026] Example 2

[1027] 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."

[1028] Traditional online learning platforms lack personalization of the user's learning experience, particularly the lack of dynamic customization based on emotional state. This can lead to a decrease in user motivation and comprehension. Additionally, avatar customization is not reflected in real time, meaning users cannot see the results immediately, which can be inconvenient.

[1029] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: a means for a user to input login information and transmit it to the server; a means for the server to authenticate the login information and return the authentication result to the terminal; a means for the server to transmit available customization options to the terminal and display them; a means for the user to customize the appearance and voice of an avatar and for the terminal to transmit the information to the server; a means for the server to generate a customized avatar using a generative AI model and return it to the terminal; a means for the terminal to recognize the user's emotions in real time and transmit the recognition result to the server; a means for the server to dynamically adjust the customization options based on the user's emotional state; a means for the user to save the user's finalized avatar information to the server; and a means for the user to select learning content and for the server to integrate the learning content with the saved avatar information and emotional data and transmit the selected learning content to the terminal. This allows for personalized learning experiences for users, enabling appropriate customization based on emotional states and real-time avatar generation.

[1030] An "online learning platform" is a system that provides learning content via the Internet, and refers to an environment in which users can learn remotely.

[1031] "User" refers to an individual who uses the system to access learning content and customize their avatar.

[1032] A "terminal" is a device used by a user to access the system, including a personal computer or smartphone.

[1033] "Server" refers to a computing system that processes data based on a user's request and returns the results to the terminal.

[1034] "Login Information" refers to information such as username and password for authenticating a user.

[1035] "Authentication result" refers to information indicating the success or failure of authentication that is returned to the terminal after the server has verified the login information.

[1036] "Customization options" refers to settings that users can select to change their avatar's appearance, voice, etc.

[1037] "Avatar" refers to a graphic of a person or character that appears in place of a user on an online learning platform.

[1038] "Generative AI model" refers to an artificial intelligence algorithm for generating an avatar based on user customization information.

[1039] An "emotion engine" refers to a program that analyzes a user's facial expressions and voice to recognize their emotional state.

[1040] "Emotional state" refers to the mental or emotional state a user is in while customizing or learning.

[1041] "Learning Content" refers to the learning materials and lessons provided on the Online Learning Platform.

[1042] This invention is a system that allows users to set and customize their own teacher avatar in an online learning platform. The system recognizes the user's emotional state in real time and dynamically adjusts the teacher avatar's movements, facial expressions, and customization options based on that information, thereby providing a more personalized and effective learning experience.

[1043] First, when a user accesses the learning platform, a login screen appears on the device. The user enters their login information (username and password), and the device sends this information to the server. The server authenticates the login information and returns an authentication result of success or failure to the device. If authentication is successful, the device displays the main menu, and the user can continue learning.

[1044] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from the database and sends them to the device. The device then displays these options, allowing the user to begin customizing their avatar.

[1045] Next, when the user selects avatar customization options, the device sends this customization information to the server in real time. The server uses the generative AI model to generate an avatar based on this customization information and returns the generated avatar to the device. The device then displays the generated avatar to the user in real time, allowing the user to instantly see the results of their customization.

[1046] While the user is customizing the device, the device analyzes the user's facial expressions and voice using an emotion engine to recognize the user's emotional state in real time. The recognition results are sent to the server, which then dynamically adjusts the customization options based on the user's emotional state. For example, if the user is confused, the server will send easier customization options to the device and suggest them to the user.

[1047] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server stores this information in a database and returns a save success message to the device. The device displays this message to notify the user that the save is complete. At the same time, the user's emotional data is also stored in the database.

[1048] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the stored avatar information and emotion data from the database, integrates them with the learning content, and sends them to the device. The device displays the learning content including the avatar, and the user begins learning.

[1049] Specific examples

[1050] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. For example, if the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements to explain things more slowly and clearly.

[1051] Prompt Sentence Examples

[1052] "Describe a system where a user logs into a learning platform and, while customizing their avatar, the avatar dynamically adjusts based on the user's emotional state."

[1053] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1054] Step 1:

[1055] A user accesses the learning platform. When the user enters login information (username and password), the terminal sends this information to the server. The server checks the login information against a database and determines whether authentication is successful or not. The authentication result is returned to the terminal, and if authentication is successful, the terminal displays the main menu. The input is the user name and password, and the output is the authentication result.

[1056] Step 2:

[1057] The user selects the "Avatar Settings" option from the main menu. The device sends a request to the server to display the settings screen. The server retrieves the available customization options (hairstyle, eye color, clothing, voice, etc.) from the database and sends them to the device. The device displays these options, allowing the user to begin customization. The input is a request to display the settings screen, and the output is a list of customization options.

[1058] Step 3:

[1059] The user changes the avatar customization options. The device sends this customization information (e.g., setting the hairstyle to "short," the eye color to "blue," and the voice to "female") to the server in real time. The server uses a generative AI model to generate an avatar based on the customization information and returns the generated avatar to the device. The device displays the generated avatar to the user in real time. The input is the customization information, and the output is the generated avatar.

[1060] Step 4:

[1061] While the user is customizing the device, the device analyzes the user's facial expressions and voice using an emotion engine to recognize the user's emotional state in real time. The recognition results are sent to the server, which then dynamically adjusts the customization options based on the user's emotional state. For example, if the user is confused, the server will send easier customization options to the device and suggest them to the user. The input is the user's facial expressions and voice, and the output is the adjusted customization options.

[1062] Step 5:

[1063] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server saves this information in a database and returns a save success message to the device. The device displays this message to the user to notify them that the save is complete. At the same time, the user's emotion data is also saved in the database. The input is the final avatar information, and the output is a save success message.

[1064] Step 6:

[1065] The user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button. The device sends a request to display the learning material to the server. The server retrieves the saved avatar information and emotion data from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content including the avatar, and the user begins learning. The input is the request to display the learning content, and the output is the integrated learning content.

[1066] (Application example 2)

[1067] 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."

[1068] Current online learning platforms do not allow users to customize their teacher avatars or dynamically adjust the learning experience based on their emotional state. This leads to poor learning outcomes and a lack of motivation. Furthermore, virtual stores offering virtual experiences often struggle to improve customer satisfaction due to a lack of personalized user experiences.

[1069] 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 a user to input login information and transmit it to the server; means for the server to authenticate the login information and return the authentication result to the terminal; means for the server to transmit available customization options to the terminal and the terminal to display them; means for a user to customize the appearance and voice of an avatar and for the terminal to transmit the information to the server; means for the server to generate a customized avatar using an AI model and return it to the terminal; means for an emotion engine built into the terminal to recognize the user's emotional state and transmit the information to the server in real time; means for the server to dynamically adjust the customization options based on the emotional state and transmit them to the terminal; means for the user to save the user's final avatar information to the server; and means for the user to select learning content and for the server to integrate the selected learning content with the saved avatar information and transmit it to the terminal. This allows the user to customize the teacher avatar to their liking, and the avatar and learning content are dynamically adjusted based on the user's emotional state, making the learning experience more personalized, improving learning effectiveness and increasing motivation to learn.

[1070] An "online learning platform" is a system that uses the Internet to provide educational content and allow users to learn online.

[1071] "User" means any individual or entity that accesses the online learning platform and uses the learning content.

[1072] A "teacher avatar" is a virtual character that can be customized by users to deliver learning content on an online learning platform.

[1073] "Customization options" refer to various options that allow users to change the teacher avatar's appearance, voice, etc.

[1074] The "emotion engine" is software that analyzes the user's facial expressions and voice to recognize the user's emotional state in real time.

[1075] "Device" means the device a user uses to access the online learning platform, such as a smartphone, tablet, or computer.

[1076] "Server" means a computer system that provides various services of the online learning platform, processes user requests, and manages data.

[1077] An "AI model" is a program that uses artificial intelligence algorithms to generate and process various data based on a user's customization information and emotional state.

[1078] A "database" is a system for managing and storing data such as user information, avatar information, and customization options.

[1079] "Dynamic adjustment" refers to automatically changing an avatar's behavior, facial expressions, and customization options in real time based on the user's emotional state.

[1080] This invention is a system for an online learning platform that allows users to set and customize their preferred teacher avatars, and by combining it with an emotion engine, personalizes the learning experience according to the user's emotional state. Specific methods for realizing this system are described below.

[1081] First, when a user accesses an online learning platform, they use a device such as a smartphone, tablet, or computer. The user enters their username and password on the login screen, and the entered information is sent from the device to the cloud server. The cloud server performs authentication using Firebase Auth or AWS Cognito and returns the authentication result to the device.

[1082] Next, when the user selects "Avatar Settings" from the main menu, the cloud server retrieves available customization options from the database and sends them to the device, which then displays these options (e.g., hairstyle, eye color, clothing, voice, etc.) and allows the user to select settings.

[1083] Once a user selects a customization option, that information is sent in real time to a cloud server, which uses a generative AI model to generate an avatar based on the selected customization options and returns the resulting video and audio data to the device, allowing the user to instantly see the results of their customization.

[1084] Furthermore, this system uses an emotion engine built into the device to analyze the user's facial expressions and voice to recognize their emotional state in real time. The software used includes facial recognition libraries (e.g., OpenCV and Dlib) and emotion recognition AI (e.g., Hugging Face emotion recognition model, DeepFace, etc.). The recognized emotion data is sent to a cloud server.

[1085] The cloud server dynamically adjusts customization options based on this emotional data. Specifically, if the user is confused, it suggests simpler customization options, and if the user shows interest, it presents more detailed options. Additionally, while the user is using the learning content, the cloud server constantly adjusts the avatar's movements and facial expressions based on the emotional data to provide appropriate feedback.

[1086] When the user completes the final customization and presses the save button, the device sends the final avatar information to the cloud server, which stores the information in a database and returns a save success message to the device. At the same time, the emotion data is also stored in the database.

[1087] When starting learning content, the user selects a learning course (e.g., "Mathematics") from the main menu, and the cloud server integrates the learning content with the stored avatar information and sends it to the device. The device displays the learning content including the avatar and dynamically adjusts the content according to the user's emotional state.

[1088] Examples and prompts:

[1089] For example, when a user selects the "Mathematics" course and presses the start button, the cloud server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. If the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements and expressions to explain things more slowly and clearly.

[1090] Example prompt sentence:

[1091] "The emotion engine should analyze the user's emotions in real time based on the current facial recognition data, and provide the most appropriate avatar function according to the user's emotional state. For example, if the user is confused, the assistant avatar should take slower, more clearly explained actions."

[1092] This system configuration allows users to customize the teacher avatar to their liking, and the avatar and content are dynamically adjusted according to the user's emotional state during learning, thereby improving learning effectiveness and the user's motivation to learn.

[1093] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1094] Step 1: User authentication

[1095] A user accesses an online learning platform on a device and enters a username and password on the login screen. The input information is sent from the device to a cloud server. The server performs authentication using Firebase Auth or AWS Cognito and returns the authentication result to the device. The input data is the username and password, and the output data is the authentication result. The server checks the authentication information against a database and returns a result of authentication success or failure.

[1096] Step 2: Display the avatar setting screen

[1097] When a user selects "Avatar Settings" from the main menu, the device sends a request to the server. The server retrieves available customization options from the database and sends them to the device. The input data is the "Avatar Settings" selection request, and the output data is the customization options. The server retrieves the customization options (hairstyle, eye color, clothing, voice) and passes them to the device.

[1098] Step 3: Customize your avatar

[1099] The user selects various customization options, which are reflected on the device in real time. The information selected by the user is sent from the device to a server, and the server uses a generative AI model to generate a customized avatar. The input data is the customization information selected by the user, and the output data is the customized avatar. The server's AI model creates image and audio data based on the customization information and sends them to the device.

[1100] Step 4: Incorporating the Emotion Engine

[1101] While the user is customizing the device, the device's built-in emotion engine uses the camera and microphone to analyze the user's face and voice and recognize their emotional state in real time. The emotional state data is sent from the device to the server. The input data is the user's face and voice, and the output data is their emotional state. The device uses libraries such as OpenCV and DeepFace to generate emotion data and send it to the server.

[1102] Step 5: Dynamic Adjustment

[1103] The server dynamically adjusts the customization options based on the received emotional data. For example, if the user is confused, the server proposes simple customization options and sends them to the device. The input data is the emotional state, and the output data is the adjusted customization options. The server generates appropriate proposals based on the results of the emotional data analysis and presents them to the user.

[1104] Step 6: Save your avatar

[1105] When the user completes customization and presses the save button, the device sends the final avatar information to the server. The server saves this information in the database and returns a save success message to the device. At the same time, emotion data is also saved. The input data is the avatar information, and the output data is a save confirmation message. The avatar information and emotion data are saved in the database, and a confirmation is given that the save was successful.

[1106] Step 7: Start learning online

[1107] When a user selects learning content (e.g., a "Mathematics" course) from the main menu, the terminal sends a display request to the server. The server retrieves the stored avatar information and emotion data from the database, integrates it with the learning content, and sends it to the terminal. The input data is the learning content selection request, and the output data is the integrated learning content. The server adjusts the learning content based on the avatar information and emotion data and provides it to the user.

[1108] Through the above processing steps, users can customize the teacher avatar to their liking, and the avatar and content are dynamically adjusted according to the user's emotional state during learning, thereby improving learning effectiveness and increasing motivation to learn.

[1109] 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.

[1110] 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.

[1111] 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.

[1112] [Fourth embodiment]

[1113] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1114] 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.

[1115] 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).

[1116] 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.

[1117] 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.

[1118] 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).

[1119] 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. 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.

[1120] 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.

[1121] 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.

[1122] 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.

[1123] 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.

[1124] 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.

[1125] 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."

[1126] This invention is a system that allows users to set and customize their preferred teacher avatars on an online learning platform. The system uses AI to freely customize the appearance and voice of the teacher avatar, making online learning more enjoyable and effective.

[1127] Program processing and specific examples

[1128] User authentication

[1129] When a user accesses the learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with a database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[1130] Displaying the settings screen

[1131] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options, allowing the user to begin customization.

[1132] Avatar Customization

[1133] Users can change various customization options for their avatar. For example, they can choose a short hairstyle, blue eyes, and a female voice. The device sends this customization information to the server in real time. The server uses an AI model to generate an avatar based on this customization information. The server then returns the generated avatar to the device, which displays it to the user in real time.

[1134] Save your avatar

[1135] When the user finishes customizing the avatar and clicks the save button, the device will send the final avatar information to the server, which will save the information in the database and return a save success message to the device, which will then display this message to the user to notify them that the save is complete.

[1136] Start learning online

[1137] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the saved avatar information from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content, including the avatar, to the user and starts the lesson.

[1138] Specific examples

[1139] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the saved avatar information and sends the integrated learning content to the device. In this case, the teacher avatar, which reflects the user's customized hairstyle and voice, will conduct the mathematics class. This makes the learning content more familiar to the user and increases their motivation to learn.

[1140] The present invention allows users to freely customize teacher avatars according to their preferences, greatly improving the effectiveness and enjoyment of online learning.

[1141] The processing flow will be explained below.

[1142] Specific processing steps of the program

[1143] User authentication

[1144] Step 1:

[1145] The user enters their username and password on the login screen.

[1146] Step 2:

[1147] The device sends the entered username and password to the server.

[1148] Step 3:

[1149] The server checks the login information it receives against its database.

[1150] Step 4:

[1151] The server returns the authentication result to the terminal. If authentication is successful, it generates a session ID and returns an authentication success message and the session ID to the terminal. If authentication fails, it returns an error message.

[1152] Step 5:

[1153] The device will display a successful authentication message to the user and open the main menu, or if authentication fails, will display the login screen again.

[1154] Displaying the settings screen

[1155] Step 1:

[1156] The user selects the "Avatar Settings" option from the main menu.

[1157] Step 2:

[1158] The terminal sends a request to the server to display the avatar setting screen.

[1159] Step 3:

[1160] The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database.

[1161] Step 4:

[1162] The server sends the customization options to the device.

[1163] Step 5:

[1164] The device displays the received customization options and the user begins customization.

[1165] Avatar Customization

[1166] Step 1:

[1167] The user selects customization options such as hairstyle, eye color, clothing, and voice.

[1168] Step 2:

[1169] The terminal transmits the selected customization information to the server in real time.

[1170] Step 3:

[1171] The server uses the AI ​​model to generate an avatar based on the customization information.

[1172] Step 4:

[1173] The server returns the generated avatar image and audio data to the terminal.

[1174] Step 5:

[1175] The device displays the generated avatar to the user in real time.

[1176] Save your avatar

[1177] Step 1:

[1178] The user completes avatar customization and hits the save button.

[1179] Step 2:

[1180] The terminal transmits the final set avatar information to the server.

[1181] Step 3:

[1182] The server stores the received avatar information in a database.

[1183] Step 4:

[1184] The server returns a save success message to the terminal.

[1185] Step 5:

[1186] The device displays a successful save message to the user.

[1187] Start learning online

[1188] Step 1:

[1189] The user selects learning content from the main menu and presses the start button.

[1190] Step 2:

[1191] The terminal sends a request to start the selected learning content to the server.

[1192] Step 3:

[1193] The server retrieves the saved avatar information from the database.

[1194] Step 4:

[1195] The server integrates the avatar information with the learning content.

[1196] Step 5:

[1197] The server transmits the integrated learning content to the terminal.

[1198] Step 6:

[1199] The device displays the integrated learning content (including the teacher avatar) to the user and begins the lesson.

[1200] Example 1

[1201] 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."

[1202] Online learning platforms lack the means to motivate users to learn. In addition, there are limited ways to customize the quality of education to suit individual preferences. There is a need for a system that allows users to flexibly customize their preferred teacher avatars and check the customization in real time.

[1203] 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.

[1204] In this invention, the server includes means for a user to input login information and transmit it to the server, means for authenticating the login information and returning the authentication result to the terminal, means for transmitting available customization options to the terminal and displaying them, means for a user to customize the appearance and voice of an avatar and for the terminal to transmit that information to the server, means for generating a customized avatar using a generative AI model and returning it to the terminal, means for saving the final avatar information to the server, means for selecting learning content and integrating it with the saved avatar information and transmitting it to the terminal, and means for updating and displaying the generated avatar data in real time. This allows users to flexibly configure and save their preferred avatars and check them in real time as they progress through their studies.

[1205] "User authentication" is the process of verifying that a user is a legitimate user by entering a username and password when accessing an online learning platform.

[1206] "Customization options" are choices and settings provided to allow users to freely set and change the characteristics of their teacher avatar, such as its appearance and voice.

[1207] A "generative AI model" is an artificial intelligence algorithm that automatically generates the appearance and voice of a teacher avatar based on customization information entered by the user.

[1208] A "prompt sentence" is an instruction sentence used to make a specific generation request to a generative AI model.

[1209] "Real-time updates" is a feature that allows changes made to a user's avatar to be reflected immediately and displayed to the user when the user customizes the avatar.

[1210] "Login Information" means the authentication information, such as username and password, that a User enters to access the Online Learning Platform.

[1211] "Device" means the electronic device used by a User to access and operate the online learning platform, including a PC, smartphone, tablet, etc.

[1212] A "server" is a central processing unit in an online learning platform that receives requests from users and performs processes such as database matching, avatar generation using AI models, and the return of various information.

[1213] The "database" is an information management system that stores various information such as user information, customization options, and generated avatar data, and can retrieve it as needed.

[1214] This invention is a system that allows users to set and customize their preferred teacher avatars on an online learning platform. Users can freely customize the appearance and voice of the teacher avatar using a generative AI model to make online learning more enjoyable and effective.

[1215] Hardware and software used

[1216] Hardware: User's PC, smartphone, tablet, etc.

[1217] Software: Online learning platform, servers, databases

[1218] AI model: Generative AI model for avatar generation

[1219] Detailed System Description

[1220] User authentication

[1221] When a user accesses the online learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with its database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[1222] Displaying the settings screen

[1223] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options, allowing the user to begin customization.

[1224] Avatar Customization

[1225] Users can change various customization options for their avatar. For example, they can select "short" hairstyle, "blue" eye color, and "female" voice. The device sends this customization information to the server in real time. The server uses a generative AI model to generate an avatar based on this customization information. The generated avatar is then returned from the server to the device, which displays it to the user in real time.

[1226] Save your avatar

[1227] When the user finishes customizing the avatar and clicks the save button, the device will send the final avatar information to the server, which will save the information in the database and return a save success message to the device, which will then display this message to the user to notify them that the save is complete.

[1228] Start learning online

[1229] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the saved avatar information from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content, including the avatar, to the user and starts the lesson.

[1230] Specific examples

[1231] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the saved avatar information and sends the integrated learning content to the device. In this case, the teacher avatar, whose hairstyle and voice are customized by the user, will conduct the mathematics class. This increases the user's familiarity with the learning content and improves their motivation to learn.

[1232] Prompt Sentence Examples

[1233] "Generate a teacher avatar with short hair, blue eyes, and a female voice."

[1234] The present invention allows users to freely customize teacher avatars according to their preferences, greatly improving the effectiveness and enjoyment of online learning.

[1235] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1236] Step 1: User authentication

[1237] A user accesses an online learning platform and a login screen appears. The user enters their username and password. (Input) Login information (username and password). The terminal sends the entered login information to the server. The server checks the login information against the database. (Data processing) Compares the login information with the information in the database. (Output) Authentication result. If authentication is successful, the server returns an authentication success message to the terminal. The terminal receives this message and displays the main menu to the user. Specifically, the user enters the username "user123" and password "password456", which the terminal encrypts and sends to the server. If this login information matches the database, the server returns an authentication success message.

[1238] Step 2: Display the settings screen

[1239] The user selects the "Avatar Settings" option from the main menu. (Input) The "Avatar Settings" option is selected. The device sends a request to the server to display the settings screen. The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from the database. (Data processing) The customization options are retrieved and converted into JSON format. (Output) The customization options. The server returns the option information to the device. The device displays this, allowing the user to begin customization. Specifically, when the user clicks the "Avatar Settings" button, the device sends an "Avatar Settings Screen Request" to the server. The server retrieves the option information from the database and returns it to the device in JSON format.

[1240] Step 3: Customize your avatar

[1241] The user changes the avatar settings from the displayed customization options. (Input) The user's customization selections (e.g., hairstyle "short," eye color "blue," voice "female"). The device sends the selected customization information to the server in real time. The server uses the generative AI model to create a prompt text and generates an avatar based on the customization information. (Data processing) A prompt text is generated based on the customization information and sent to the AI ​​model. (Output) Generated avatar data. The server returns the generated avatar data to the device. The device displays this to the user in real time. Specifically, if the user selects "hairstyle: short, eye color: blue, voice: female," the device sends this to the server, and the server generates a prompt text and sends it to the AI ​​model. The generated avatar is returned to the device and displayed in real time.

[1242] Step 4: Save your avatar

[1243] The user finishes customizing their avatar and presses the "Save" button. (Input) Final avatar information settings. The device sends this information to the server. The server saves the avatar information in the database. (Data processing) Final avatar information settings are saved in the database. (Output) Save success message. The server returns a save success message to the device. The device displays this message to the user, notifying them that saving is complete. Specifically, when the user clicks the "Save" button, the device sends the final avatar setting information to the server, which saves it in the database. A save success message is returned to the device and displayed to the user.

[1244] Step 5: Start learning online

[1245] The user selects learning content (e.g., the "Mathematics" course) from the main menu and presses the "Start" button. (Input) Learning content selection. The device sends a request to the server to display the learning materials. The server retrieves saved avatar information from the database and integrates it with the learning content. (Data processing) Integrates avatar information and learning content. (Output) Integrated learning content. The server sends the integrated learning content to the device. The device displays this to the user and starts the lesson. In concrete terms, when the user selects the "Mathematics" course and presses the "Start" button, the device sends a "Mathematics course start request" to the server. The server integrates the avatar information with the "Mathematics" learning material data and sends it to the device. The device displays this and the lesson begins.

[1246] (Application example 1)

[1247] 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."

[1248] In order to provide a more user-friendly experience on online platforms, it is necessary to use avatars that can be customized according to individual preferences. In particular, in virtual stores, allowing users to set and customize staff avatars of their choice would make the shopping experience in the virtual store more realistic and enjoyable, but specific technological means to achieve this are lacking.

[1249] 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.

[1250] In this invention, the server includes: means for a user to input login information and send it to the server; means for the server to authenticate the login information and return the authentication result to the terminal; means for the server to send available customization options to the terminal and the terminal to display them; means for a user to customize the appearance and voice of an avatar and for the terminal to send that information to the server; means for the server to generate a customized avatar using a generative AI model and return it to the terminal; means for the user to save the avatar information finally set by the user to the server; means for a user to select content and for the server to integrate the content with the saved avatar information and send it to the terminal; and means for an avatar to greet a user when they enter a virtual store and provide guidance and explain products. This allows users to customize staff avatars to their liking in the virtual store and enjoy a more friendly shopping experience.

[1251] An "online platform" is a digital infrastructure that users can access and use various services via the internet.

[1252] "User" refers to any individual or legal entity using the online platform.

[1253] An "avatar" is a virtual character that allows users to represent themselves online.

[1254] "Settings and customization" refers to the user individually adjusting and changing elements of their avatar, such as its appearance and voice.

[1255] A "system" is a set of devices and programs in which multiple components and functions work in conjunction with each other.

[1256] A "server" refers to a computer or software that provides information or services over a network.

[1257] "Login Information" means the username, password, or other authentication data required by a User to access the Platform.

[1258] "Authentication" is the process of verifying that the login information provided by a user is valid.

[1259] "Terminal" refers to a device used by a user, such as a computer or smartphone.

[1260] "Customization options" refers to various settings that users can select to adjust their avatar.

[1261] A "generative AI model" refers to a program that uses artificial intelligence technology to generate data and create avatars.

[1262] "Content" refers to information and services provided on the Online Platform, in particular digital media such as learning materials and product descriptions.

[1263] A "virtual store" refers to a virtual commercial transaction space that exists on the Internet.

[1264] "Welcome" refers to an avatar greeting and guiding a user when they enter a virtual store.

[1265] "Guidance" refers to the avatar explaining to the user information and services within the virtual store.

[1266] "Product description" refers to the avatar providing the user with a detailed explanation of the product or service's features and how to use it.

[1267] The present invention provides a system that allows users to set and use customizable staff avatars in a virtual store. A specific embodiment of the system will be described below.

[1268] The system runs on an online platform and is composed of a device where users log in, a server, and a generative AI model. First, the user accesses the online platform and enters their username and password on the login screen. The device sends this information to the server, which then compares the received login information with a database for authentication and returns the results to the device. If authentication is successful, the user can access the avatar setting screen.

[1269] When a user selects the "Avatar Settings" option from the settings screen, the device sends a display request to the server. The server retrieves available customization options from the database and sends them to the device. The device displays them, allowing the user to select and change various avatar customization options, such as hairstyle, eye color, voice, and clothing.

[1270] As users customize their devices, they send that information to the server in real time. The server then uses a generative AI model to generate an avatar based on the customization information and returns it to the device, which then displays the generated avatar to the user.

[1271] Once customization is complete and the user presses the save button, the device sends the final avatar information to the server, which stores it in a database. When the user then enters the virtual store, a staff avatar based on the user's saved customization settings will be displayed to guide the user and explain the product.

[1272] Hardware and software used

[1273] Hardware: Smartphones, smart glasses, head-mounted displays

[1274] Software: Virtual store application, generative AI models (e.g., OpenAI's GPT and DALL-E), databases (AWS RDS), cloud services (AWS Lambda, AWS S3)

[1275] Examples of explanatory text

[1276] For example, a user logs in to a virtual store application and accesses the avatar setting screen. They select and save their hairstyle as "long," their voice as "male," and their clothing as "casual." When they then enter the virtual store, an avatar reflecting their selected customizations will greet them and explain the product.

[1277] Prompt Sentence Examples

[1278] A user wants to customize their avatar so that:

[1279] Hairstyle: Long

[1280] Voice: Male

[1281] Dress Code: Casual

[1282] Please create an avatar that meets this requirement.

[1283] This allows users to set their preferred staff avatars in the virtual store, customize them in real time, and save them, and also provides guidance and product explanations within the virtual store, making for a more user-friendly shopping experience.

[1284] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1285] Step 1:

[1286] A user accesses the online platform, enters their login information (username and password), and sends it to the server. The server receives the login information, compares it with a database, and returns the authentication result to the terminal. If the authentication is successful, the terminal displays the main menu to the user.

[1287] Step 2:

[1288] When a user selects the "Avatar Settings" option from the main menu, the device sends a display request to the server. The server retrieves available customization options (hairstyle, eye color, voice, clothing, etc.) from the database and sends them to the device. The device then displays these customization options to the user.

[1289] Step 3:

[1290] The user customizes the appearance and voice of the avatar using the displayed customization options. The device transmits the user's selection information for various customization options to the server in real time. The server uses a generative AI model based on the received customization information to generate a customized avatar and returns the result to the device. The device then displays the generated avatar to the user in real time.

[1291] Step 4:

[1292] When the user finishes customizing the avatar and presses the save button, the device will send the final avatar information to the server, which will save the received avatar information in its database. Once the saving is complete, the server will send a save success message to the device, which the device will display to the user.

[1293] Step 5:

[1294] When a user enters a virtual store, the terminal sends a request to enter the store to the server. The server retrieves the stored customized avatar information from the database, generates a staff avatar based on that information, and sends it to the terminal. The terminal then displays the generated staff avatar to the user.

[1295] Step 6:

[1296] The generated staff avatar provides guidance and product explanations to the user. When a user requests product information, the device sends the request to the server, which then retrieves the corresponding product information from a database and returns it to the device. The device displays the product information to the user and the staff avatar, and the staff avatar explains the product to the user.

[1297] Through the above processing steps, users can set their preferred staff avatars in the virtual store and use them to have a more friendly shopping experience.

[1298] 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.

[1299] This invention combines an emotion engine with a system that allows users to set and customize their own preferred teacher avatars in an online learning platform. The system recognizes the user's emotional state in real time and dynamically adjusts the teacher avatar's movements, facial expressions, and customization options based on that information, thereby providing a more personalized and effective learning experience for users.

[1300] Program processing and specific examples

[1301] User authentication

[1302] When a user accesses the learning platform, a login screen appears. Here, the user enters their username and password. The device sends this information to the server. The server compares the received login information with a database and returns the authentication result to the device. If authentication is successful, the device displays the main menu and the user can continue learning.

[1303] Displaying the settings screen

[1304] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database and sends them to the device. The device then displays these options and allows the user to begin customization.

[1305] Avatar Customization

[1306] Users can change various customization options for their avatar. For example, they can choose a short hairstyle, blue eyes, and a female voice. The device sends this customization information to the server in real time. The server uses an AI model to generate an avatar based on this customization information. The server then returns the generated avatar to the device, which displays it to the user in real time.

[1307] Incorporating an emotion engine

[1308] While the user is customizing the device, the device analyzes the user's facial expressions, voice, and other data to recognize the user's emotional state in real time. This process is performed by the device's built-in emotion engine. The recognition results are sent to the server, which can then adjust the customization options based on that information. For example, if the user is confused, the system can suggest easier customization options.

[1309] Save your avatar

[1310] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server stores this information in a database and returns a save success message to the device. The device displays this message to the user to notify them that the save is complete. At the same time, the user's emotional data is also stored in the database.

[1311] Start learning online

[1312] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the stored avatar information and emotional data from the database, integrates it with the learning content, and sends it to the device. At this time, the avatar's movements and facial expressions are also adjusted based on the emotional data. The device displays the learning content, including the avatar, to the user and begins the lesson.

[1313] Specific examples

[1314] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. For example, if the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements to explain things more slowly and clearly.

[1315] This invention not only allows users to freely customize their teacher avatars to suit their preferences, but also dynamically adjusts the avatars and content according to their emotional state during learning, thereby increasing users' motivation to learn and providing more personalized and effective education.

[1316] The processing flow will be explained below.

[1317] Specific processing steps of the program (including the emotion engine)

[1318] User authentication

[1319] Step 1:

[1320] The user enters their username and password on the login screen.

[1321] Step 2:

[1322] The device sends the entered username and password to the server.

[1323] Step 3:

[1324] The server checks the login information it receives against its database.

[1325] Step 4:

[1326] The server returns the authentication result to the terminal. If authentication is successful, it generates a session ID and returns an authentication success message and the session ID to the terminal. If authentication fails, it returns an error message.

[1327] Step 5:

[1328] The device will display a successful authentication message to the user and open the main menu, or if authentication fails, will display the login screen again.

[1329] Displaying the settings screen

[1330] Step 1:

[1331] The user selects the "Avatar Settings" option from the main menu.

[1332] Step 2:

[1333] The terminal sends a request to the server to display the setting screen.

[1334] Step 3:

[1335] The server retrieves available customization options (hairstyle, eye color, clothing, voice, etc.) from a database.

[1336] Step 4:

[1337] The server sends the customization options to the device.

[1338] Step 5:

[1339] The device displays the received customization options and the user begins customization.

[1340] Avatar Customization

[1341] Step 1:

[1342] The user selects customization options such as hairstyle, eye color, clothing, and voice.

[1343] Step 2:

[1344] The terminal transmits the selected customization information to the server in real time.

[1345] Step 3:

[1346] The server uses the AI ​​model to generate an avatar based on the customization information.

[1347] Step 4:

[1348] The server returns the generated avatar image and audio data to the terminal.

[1349] Step 5:

[1350] The device displays the generated avatar to the user in real time.

[1351] Incorporating an emotion engine

[1352] Step 1:

[1353] While the user is customizing, the device analyzes the user's facial expressions and voice using an emotion engine.

[1354] Step 2:

[1355] The device uses an emotion engine to recognize the user's emotional state in real time.

[1356] Step 3:

[1357] The device transmits the recognized emotional state to the server.

[1358] Step 4:

[1359] The server adjusts customization options based on the emotion data and sends them to the device.

[1360] Step 5:

[1361] The device presents tailored customization options to the user.

[1362] Save your avatar

[1363] Step 1:

[1364] The user completes avatar customization and hits the save button.

[1365] Step 2:

[1366] The terminal transmits the final set avatar information to the server.

[1367] Step 3:

[1368] The server stores the avatar information and emotion data in a database.

[1369] Step 4:

[1370] The server returns a save success message to the terminal.

[1371] Step 5:

[1372] The device displays a successful save message to the user.

[1373] Start learning online

[1374] Step 1:

[1375] The user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button.

[1376] Step 2:

[1377] The terminal sends a request to start the selected learning content to the server.

[1378] Step 3:

[1379] The server retrieves the stored avatar information and emotion data from the database.

[1380] Step 4:

[1381] The server adjusts the teacher avatar's movements and facial expressions based on the user's emotional data and integrates them with the learning content.

[1382] Step 5:

[1383] The server transmits the integrated learning content to the terminal.

[1384] Step 6:

[1385] The device displays the integrated learning content (including the teacher avatar) to the user and begins the lesson.

[1386] Specific examples

[1387] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. If the user's emotional state is recognized as "confused," the teacher avatar will adjust its movements and facial expressions to explain things more carefully and slowly, thereby improving the user's understanding during the learning process.

[1388] This invention not only allows users to freely customize their teacher avatars to suit their preferences, but also dynamically adjusts the avatars and content according to their emotional state during learning, thereby increasing users' motivation to learn and providing more personalized and effective education.

[1389] Example 2

[1390] 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."

[1391] Traditional online learning platforms lack personalization of the user's learning experience, particularly the lack of dynamic customization based on emotional state. This can lead to a decrease in user motivation and comprehension. Additionally, avatar customization is not reflected in real time, meaning users cannot see the results immediately, which can be inconvenient.

[1392] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: a means for a user to input login information and transmit it to the server; a means for the server to authenticate the login information and return the authentication result to the terminal; a means for the server to transmit available customization options to the terminal and display them; a means for the user to customize the appearance and voice of an avatar and for the terminal to transmit the information to the server; a means for the server to generate a customized avatar using a generative AI model and return it to the terminal; a means for the terminal to recognize the user's emotions in real time and transmit the recognition result to the server; a means for the server to dynamically adjust the customization options based on the user's emotional state; a means for the user to save the user's finalized avatar information to the server; and a means for the user to select learning content and for the server to integrate the learning content with the saved avatar information and emotional data and transmit the selected learning content to the terminal. This allows for personalized learning experiences for users, enabling appropriate customization based on emotional states and real-time avatar generation.

[1393] An "online learning platform" is a system that provides learning content via the Internet, and refers to an environment in which users can learn remotely.

[1394] "User" refers to an individual who uses the system to access learning content and customize their avatar.

[1395] A "terminal" is a device used by a user to access the system, including a personal computer or smartphone.

[1396] "Server" refers to a computing system that processes data based on a user's request and returns the results to the terminal.

[1397] "Login Information" refers to information such as username and password for authenticating a user.

[1398] "Authentication result" refers to information indicating the success or failure of authentication that is returned to the terminal after the server has verified the login information.

[1399] "Customization options" refers to settings that users can select to change their avatar's appearance, voice, etc.

[1400] "Avatar" refers to a graphic of a person or character that appears in place of a user on an online learning platform.

[1401] "Generative AI model" refers to an artificial intelligence algorithm for generating an avatar based on user customization information.

[1402] An "emotion engine" refers to a program that analyzes a user's facial expressions and voice to recognize their emotional state.

[1403] "Emotional state" refers to the mental or emotional state a user is in while customizing or learning.

[1404] "Learning Content" refers to the learning materials and lessons provided on the Online Learning Platform.

[1405] This invention is a system that allows users to set and customize their own teacher avatar in an online learning platform. The system recognizes the user's emotional state in real time and dynamically adjusts the teacher avatar's movements, facial expressions, and customization options based on that information, thereby providing a more personalized and effective learning experience.

[1406] First, when a user accesses the learning platform, a login screen appears on the device. The user enters their login information (username and password), and the device sends this information to the server. The server authenticates the login information and returns an authentication result of success or failure to the device. If authentication is successful, the device displays the main menu, and the user can continue learning.

[1407] When a user selects the "Avatar Settings" option from the main menu, the device sends a request to the server to display the settings screen. The server retrieves available customization options (e.g., hairstyle, eye color, clothing, voice, etc.) from the database and sends them to the device. The device then displays these options, allowing the user to begin customizing their avatar.

[1408] Next, when the user selects avatar customization options, the device sends this customization information to the server in real time. The server uses the generative AI model to generate an avatar based on this customization information and returns the generated avatar to the device. The device then displays the generated avatar to the user in real time, allowing the user to instantly see the results of their customization.

[1409] While the user is customizing the device, the device analyzes the user's facial expressions and voice using an emotion engine to recognize the user's emotional state in real time. The recognition results are sent to the server, which then dynamically adjusts the customization options based on the user's emotional state. For example, if the user is confused, the server will send easier customization options to the device and suggest them to the user.

[1410] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server stores this information in a database and returns a save success message to the device. The device displays this message to notify the user that the save is complete. At the same time, the user's emotional data is also stored in the database.

[1411] When a user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button, the device sends a request to the server to display the learning material. The server retrieves the stored avatar information and emotion data from the database, integrates them with the learning content, and sends them to the device. The device displays the learning content including the avatar, and the user begins learning.

[1412] Specific examples

[1413] For example, when a user selects the "Mathematics" course and presses the start button, the server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. For example, if the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements to explain things more slowly and clearly.

[1414] Prompt Sentence Examples

[1415] "Describe a system where a user logs into a learning platform and, while customizing their avatar, the avatar dynamically adjusts based on the user's emotional state."

[1416] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1417] Step 1:

[1418] A user accesses the learning platform. When the user enters login information (username and password), the terminal sends this information to the server. The server checks the login information against a database and determines whether authentication is successful or not. The authentication result is returned to the terminal, and if authentication is successful, the terminal displays the main menu. The input is the user name and password, and the output is the authentication result.

[1419] Step 2:

[1420] The user selects the "Avatar Settings" option from the main menu. The device sends a request to the server to display the settings screen. The server retrieves the available customization options (hairstyle, eye color, clothing, voice, etc.) from the database and sends them to the device. The device displays these options, allowing the user to begin customization. The input is a request to display the settings screen, and the output is a list of customization options.

[1421] Step 3:

[1422] The user changes the avatar customization options. The device sends this customization information (e.g., setting the hairstyle to "short," the eye color to "blue," and the voice to "female") to the server in real time. The server uses a generative AI model to generate an avatar based on the customization information and returns the generated avatar to the device. The device displays the generated avatar to the user in real time. The input is the customization information, and the output is the generated avatar.

[1423] Step 4:

[1424] While the user is customizing the device, the device analyzes the user's facial expressions and voice using an emotion engine to recognize the user's emotional state in real time. The recognition results are sent to the server, which then dynamically adjusts the customization options based on the user's emotional state. For example, if the user is confused, the server will send easier customization options to the device and suggest them to the user. The input is the user's facial expressions and voice, and the output is the adjusted customization options.

[1425] Step 5:

[1426] When the user completes avatar customization and presses the save button, the device sends the final avatar information to the server. The server saves this information in a database and returns a save success message to the device. The device displays this message to the user to notify them that the save is complete. At the same time, the user's emotion data is also saved in the database. The input is the final avatar information, and the output is a save success message.

[1427] Step 6:

[1428] The user selects learning content (e.g., a "Mathematics" course) from the main menu and presses the start button. The device sends a request to display the learning material to the server. The server retrieves the saved avatar information and emotion data from the database, integrates it with the learning content, and sends it to the device. The device displays the learning content including the avatar, and the user begins learning. The input is the request to display the learning content, and the output is the integrated learning content.

[1429] (Application example 2)

[1430] 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."

[1431] Current online learning platforms do not allow users to customize their teacher avatars or dynamically adjust the learning experience based on their emotional state. This leads to poor learning outcomes and a lack of motivation. Furthermore, virtual stores offering virtual experiences often struggle to improve customer satisfaction due to a lack of personalized user experiences.

[1432] 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 a user to input login information and transmit it to the server; means for the server to authenticate the login information and return the authentication result to the terminal; means for the server to transmit available customization options to the terminal and the terminal to display them; means for a user to customize the appearance and voice of an avatar and for the terminal to transmit the information to the server; means for the server to generate a customized avatar using an AI model and return it to the terminal; means for an emotion engine built into the terminal to recognize the user's emotional state and transmit the information to the server in real time; means for the server to dynamically adjust the customization options based on the emotional state and transmit them to the terminal; means for the user to save the user's final avatar information to the server; and means for the user to select learning content and for the server to integrate the selected learning content with the saved avatar information and transmit it to the terminal. This allows the user to customize the teacher avatar to their liking, and the avatar and learning content are dynamically adjusted based on the user's emotional state, making the learning experience more personalized, improving learning effectiveness and increasing motivation to learn.

[1433] An "online learning platform" is a system that uses the Internet to provide educational content and allow users to learn online.

[1434] "User" means any individual or entity that accesses the online learning platform and uses the learning content.

[1435] A "teacher avatar" is a virtual character that can be customized by users to deliver learning content on an online learning platform.

[1436] "Customization options" refer to various options that allow users to change the teacher avatar's appearance, voice, etc.

[1437] The "emotion engine" is software that analyzes the user's facial expressions and voice to recognize the user's emotional state in real time.

[1438] "Device" means the device a user uses to access the online learning platform, such as a smartphone, tablet, or computer.

[1439] "Server" means a computer system that provides various services of the online learning platform, processes user requests, and manages data.

[1440] An "AI model" is a program that uses artificial intelligence algorithms to generate and process various data based on a user's customization information and emotional state.

[1441] A "database" is a system for managing and storing data such as user information, avatar information, and customization options.

[1442] "Dynamic adjustment" refers to automatically changing an avatar's behavior, facial expressions, and customization options in real time based on the user's emotional state.

[1443] This invention is a system for an online learning platform that allows users to set and customize their preferred teacher avatars, and by combining it with an emotion engine, personalizes the learning experience according to the user's emotional state. Specific methods for realizing this system are described below.

[1444] First, when a user accesses an online learning platform, they use a device such as a smartphone, tablet, or computer. The user enters their username and password on the login screen, and the entered information is sent from the device to the cloud server. The cloud server performs authentication using Firebase Auth or AWS Cognito and returns the authentication result to the device.

[1445] Next, when the user selects "Avatar Settings" from the main menu, the cloud server retrieves available customization options from the database and sends them to the device, which then displays these options (e.g., hairstyle, eye color, clothing, voice, etc.) and allows the user to select settings.

[1446] Once a user selects a customization option, that information is sent in real time to a cloud server, which uses a generative AI model to generate an avatar based on the selected customization options and returns the resulting video and audio data to the device, allowing the user to instantly see the results of their customization.

[1447] Furthermore, this system uses an emotion engine built into the device to analyze the user's facial expressions and voice to recognize their emotional state in real time. The software used includes facial recognition libraries (e.g., OpenCV and Dlib) and emotion recognition AI (e.g., Hugging Face emotion recognition model, DeepFace, etc.). The recognized emotion data is sent to a cloud server.

[1448] The cloud server dynamically adjusts customization options based on this emotional data. Specifically, if the user is confused, it suggests simpler customization options, and if the user shows interest, it presents more detailed options. Additionally, while the user is using the learning content, the cloud server constantly adjusts the avatar's movements and facial expressions based on the emotional data to provide appropriate feedback.

[1449] When the user completes the final customization and presses the save button, the device sends the final avatar information to the cloud server, which stores the information in a database and returns a save success message to the device. At the same time, the emotion data is also stored in the database.

[1450] When starting learning content, the user selects a learning course (e.g., "Mathematics") from the main menu, and the cloud server integrates the learning content with the stored avatar information and sends it to the device. The device displays the learning content including the avatar and dynamically adjusts the content according to the user's emotional state.

[1451] Examples and prompts:

[1452] For example, when a user selects the "Mathematics" course and presses the start button, the cloud server generates a mathematics teacher avatar based on the stored avatar information and emotional data, and sends the integrated learning content to the device. In this case, the avatar reflects the user's emotional state. If the user shows interest, the teacher avatar will adopt more lively movements and facial expressions. If the user is confused, it will adjust its movements and expressions to explain things more slowly and clearly.

[1453] Example prompt sentence:

[1454] "The emotion engine should analyze the user's emotions in real time based on the current facial recognition data, and provide the most appropriate avatar function according to the user's emotional state. For example, if the user is confused, the assistant avatar should take slower, more clearly explained actions."

[1455] This system configuration allows users to customize the teacher avatar to their liking, and the avatar and content are dynamically adjusted according to the user's emotional state during learning, thereby improving learning effectiveness and the user's motivation to learn.

[1456] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1457] Step 1: User authentication

[1458] A user accesses an online learning platform on a device and enters a username and password on the login screen. The input information is sent from the device to a cloud server. The server performs authentication using Firebase Auth or AWS Cognito and returns the authentication result to the device. The input data is the username and password, and the output data is the authentication result. The server checks the authentication information against a database and returns a result of authentication success or failure.

[1459] Step 2: Display the avatar setting screen

[1460] When a user selects "Avatar Settings" from the main menu, the device sends a request to the server. The server retrieves available customization options from the database and sends them to the device. The input data is the "Avatar Settings" selection request, and the output data is the customization options. The server retrieves the customization options (hairstyle, eye color, clothing, voice) and passes them to the device.

[1461] Step 3: Customize your avatar

[1462] The user selects various customization options, which are reflected on the device in real time. The information selected by the user is sent from the device to a server, and the server uses a generative AI model to generate a customized avatar. The input data is the customization information selected by the user, and the output data is the customized avatar. The server's AI model creates image and audio data based on the customization information and sends them to the device.

[1463] Step 4: Incorporating the Emotion Engine

[1464] While the user is customizing the device, the device's built-in emotion engine uses the camera and microphone to analyze the user's face and voice and recognize their emotional state in real time. The emotional state data is sent from the device to the server. The input data is the user's face and voice, and the output data is their emotional state. The device uses libraries such as OpenCV and DeepFace to generate emotion data and send it to the server.

[1465] Step 5: Dynamic Adjustment

[1466] The server dynamically adjusts the customization options based on the received emotional data. For example, if the user is confused, the server proposes simple customization options and sends them to the device. The input data is the emotional state, and the output data is the adjusted customization options. The server generates appropriate proposals based on the results of the emotional data analysis and presents them to the user.

[1467] Step 6: Save your avatar

[1468] When the user completes customization and presses the save button, the device sends the final avatar information to the server. The server saves this information in the database and returns a save success message to the device. At the same time, emotion data is also saved. The input data is the avatar information, and the output data is a save confirmation message. The avatar information and emotion data are saved in the database, and a confirmation is given that the save was successful.

[1469] Step 7: Start learning online

[1470] When a user selects learning content (e.g., a "Mathematics" course) from the main menu, the terminal sends a display request to the server. The server retrieves the stored avatar information and emotion data from the database, integrates it with the learning content, and sends it to the terminal. The input data is the learning content selection request, and the output data is the integrated learning content. The server adjusts the learning content based on the avatar information and emotion data and provides it to the user.

[1471] Through the above processing steps, users can customize the teacher avatar to their liking, and the avatar and content are dynamically adjusted according to the user's emotional state during learning, thereby improving learning effectiveness and increasing motivation to learn.

[1472] 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.

[1473] 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.

[1474] 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 robot 414.

[1475] 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.

[1476] 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.

[1477] 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.

[1478] 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).

[1479] 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.

[1480] 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."

[1481] 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.

[1482] 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).

[1483] 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.

[1484] 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.

[1485] 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.

[1486] 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.

[1487] 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.

[1488] 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.

[1489] 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.

[1490] 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.

[1491] 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.

[1492] 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.

[1493] The following is further disclosed regarding the above embodiment.

[1494] (Claim 1)

[1495] A system for allowing users to set and customize their preferred teacher avatars in an online learning platform,

[1496] A means for the user to enter login information and transmit it to the server;

[1497] A means for the server to authenticate the login information and return the authentication result to the terminal;

[1498] a means for the server to send available customization options to the terminal and for the terminal to display them;

[1499] A means for users to customize the appearance and voice of their avatars and for their devices to send that information to a server;

[1500] A means for the server to use the AI ​​model to generate a customized avatar and return it to the device;

[1501] A means for storing the user's final avatar information on a server;

[1502] A means for a user to select learning content, and a server to integrate the selected learning content with the avatar information stored in the server and transmit the combined learning content to the terminal;

[1503] A system including:

[1504] (Claim 2)

[1505] 10. The system of claim 1, wherein the customized avatar is generated in real time and displayed to the user.

[1506] (Claim 3)

[1507] 2. The system of claim 1, wherein the server uses an AI model to generate audio data and image data based on the user's customization information.

[1508] "Example 1"

[1509] (Claim 1)

[1510] A means for the user to enter login information and transmit it to the server;

[1511] A means for the server to authenticate the login information and return the authentication result to the terminal;

[1512] a means for the server to send available customization options to the terminal and for the terminal to display them;

[1513] A means for users to customize the appearance and voice of their avatars and for their devices to send that information to a server;

[1514] A means for the server to generate a customized avatar using the generative AI model and return it to the device;

[1515] A means for storing the user's final avatar information on a server;

[1516] A means for a user to select learning content, and a server to integrate the selected learning content with the avatar information stored in the server and transmit the combined learning content to the terminal;

[1517] a means for updating and displaying the generated avatar data in real time;

[1518] A system including:

[1519] (Claim 2)

[1520] 10. The system of claim 1, wherein the customized avatar is generated in real time and displayed to the user.

[1521] (Claim 3)

[1522] The system of claim 1, wherein the server uses a generative AI model to generate audio data and image data based on the user's customization information.

[1523] "Application Example 1"

[1524] (Claim 1)

[1525] A system for allowing users to set and customize their preferred avatars on an online platform,

[1526] A means for the user to enter login information and transmit it to the server;

[1527] A means for the server to authenticate the login information and return the authentication result to the terminal;

[1528] a means for the server to send available customization options to the terminal and for the terminal to display them;

[1529] A means for users to customize the appearance and voice of their avatars and for their devices to send that information to a server;

[1530] A means for the server to generate a customized avatar using the generative AI model and return it to the device;

[1531] A means for storing the user's final avatar information on a server;

[1532] A means for a user to select content, and for the server to integrate the content based on the stored avatar information and send it to the terminal;

[1533] When users enter a virtual store, an avatar will greet them and provide guidance and product explanations.

[1534] A system including:

[1535] (Claim 2)

[1536] 10. The system of claim 1, wherein the customized avatar is generated in real time and displayed to the user.

[1537] (Claim 3)

[1538] The system of claim 1, wherein the server uses a generative AI model to generate audio data and image data based on the user's customization information.

[1539] "Example 2: Combining Emotion Engines"

[1540] (Claim 1)

[1541] A system for allowing users to set and customize their preferred teacher avatars in an online learning platform,

[1542] A means for the user to enter login information and transmit it to the server;

[1543] A means for the server to authenticate the login information and return the authentication result to the terminal;

[1544] a means for the server to send available customization options to the terminal and for the terminal to display them;

[1545] A means for users to customize the appearance and voice of their avatars and for their devices to send that information to a server;

[1546] A means for the server to generate a customized avatar using the generative AI model and return it to the device;

[1547] A means for the terminal to recognize the user's emotions in real time and transmit the recognition result to a server;

[1548] means for the server to dynamically adjust the customization options based on the user's emotional state;

[1549] A means for storing the user's final avatar information on a server;

[1550] A means for a user to select learning content, and for the server to integrate the learning content based on the stored avatar information and emotion data and transmit the result to the terminal;

[1551] A system including:

[1552] (Claim 2)

[1553] 10. The system of claim 1, wherein the customized avatar is generated in real time and displayed to the user.

[1554] (Claim 3)

[1555] The system of claim 1, wherein the server uses a generative AI model to generate audio data and image data based on the user's customization information.

[1556] "Application example 2 when combining emotion engines"

[1557] (Claim 1)

[1558] A system for allowing users to set and customize their preferred teacher avatars in an online learning platform,

[1559] A means for the user to enter login information and transmit it to the server;

[1560] A means for the server to authenticate the login information and return the authentication result to the terminal;

[1561] a means for the server to send available customization options to the terminal and for the terminal to display them;

[1562] A means for users to customize the appearance and voice of their avatars and for their devices to send that information to a server;

[1563] A means for the server to use the AI ​​model to generate a customized avatar and return it to the device;

[1564] A means for an emotion engine built into the device to recognize the user's emotional state and transmit that information to a server in real time;

[1565] means for the server to dynamically adjust the customization options based on the emotional state and transmit the adjusted customization options to the device;

[1566] A means for storing the user's final avatar information on a server;

[1567] A means for a user to select learning content, and a server to integrate the selected learning content with the avatar information stored in the server and transmit the combined learning content to the terminal;

[1568] A system including:

[1569] (Claim 2)

[1570] 10. The system of claim 1, wherein a customized avatar is generated in real time and displayed to the user, and an emotion engine adjusts the movements and facial expressions according to the user's emotional state.

[1571] (Claim 3)

[1572] 10. The system of claim 1, wherein the server uses an AI model to generate audio data and image data based on the user's customization information and emotional state. [Explanation of symbols]

[1573] 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. A system for allowing users to set and customize their preferred teacher avatars in an online learning platform, A means for the user to enter login information and transmit it to the server; A means for the server to authenticate the login information and return the authentication result to the terminal; a means for the server to send available customization options to the terminal and for the terminal to display them; A means for users to customize the appearance and voice of their avatars and for their devices to send that information to a server; A means for the server to use the AI ​​model to generate a customized avatar and return it to the device; A means for storing the user's final avatar information on a server; A means for a user to select learning content, and a server to integrate the selected learning content with the avatar information stored in the server and transmit the combined learning content to the terminal; A system including:

2. 10. The system of claim 1, wherein a customized avatar is generated and displayed to the user in real time.

3. 2. The system of claim 1, wherein the server uses an AI model to generate audio data and image data based on the user's customization information.

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