System

Abstract

A system is provided.SOLUTION: This system is provided with a means for allowing a user to access an account preparation page, and to input and transmit necessary information to a registration form, a means for storing information received by a server in a database, and for preparing an account, a means for generating a plurality of virtual lecturers whose characters, sex and areas are different, and for storing the profiles in the database, and a means for allowing the user to select his or her desired virtual lecturer, lesson contents and time. A means for transmitting the selected content to the server, a means for the server receiving a request from the user and confirming whether the request can be handled by the virtual adviser and providing a link of the class session to the user, a means for the server recording the learning time of the user after the end of the class and accumulating and sharing the learning time, and a means for the server managing a profit such as an advertisement fee, a job-recruiting brokerage fee, a donation, and an subsidy and covering an operation cost of the system.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 the conventional language education system, there are problems such as difficulty in booking popular instructors, inconsistency in lesson quality, and the "embarrassment" that Japanese people feel when learning English conversation. Furthermore, the high cost of taking classes is a barrier to many who want to learn. Furthermore, there is also the social problem of widening educational disparities, with underprivileged people unable to receive an adequate education. A system that provides solutions to these issues is needed. [Means for solving the problem]

[0005] The present invention provides a means for a user to access an account creation page, enter the necessary information in a registration form, and submit the form;

[0006] The server stores the received information in a database and creates an account;

[0007] A means for generating multiple virtual instructors with different personalities, genders, and regions and storing their profiles in a database;

[0008] A means for the user to select a desired virtual instructor, lesson content, and time, and transmit the selection to the server;

[0009] a means for the server to accept the user's request, check availability with the virtual instructor, and provide the user with a link to the class session;

[0010] A means for the server to record the user's study time after the class ends, and store and share that study time;

[0011] The server manages revenues such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs;

[0012] A means for a virtual instructor to analyze users' comments in real time and provide appropriate feedback;

[0013] The above problem is solved by providing a means for the server to reallocate the study time used by users as "study time sharing" in order to reduce educational disparities.

[0014] Understood. Below are definitions of important words.

[0015] "User" refers to an individual or organization that uses the System to study a language.

[0016] "Server" refers to a computer device that processes, stores, and manages data for the entire system.

[0017] "Virtual instructors" refer to programs that use AI technology to provide language education to users, and are virtual language instructors with different personalities, genders, and regions.

[0018] "Account Creation Page" means the web page through which a User may register their information and create an individual account on the System.

[0019] "Registration Form" means a web form that prompts you to enter information required to create an account, such as your name, email address, password, and language preferences.

[0020] "Database" refers to the digital storage device where the system stores user information and virtual instructor profiles.

[0021] "Lessons" refers to the specific language topic or skill set you want to learn.

[0022] "Lesson Time" means the start and end times of a specific study session designated by a User.

[0023] "Class link" refers to the URL and connection information provided by the server to the user to initiate a class session with the virtual instructor.

[0024] "Study Time" refers to the time a user actually spends learning in class with a virtual instructor.

[0025] "Study time sharing" refers to a system that reallocates the time users spend studying as a resource to reduce educational disparities.

[0026] "Advertising Fees" refers to revenues earned from advertisements displayed on the System.

[0027] "Recruitment agency fees" refer to the revenue earned when mediating the recruitment of foreign language talent through the system.

[0028] "Donations" refer to funds provided by companies and individuals for system operation.

[0029] "Subsidies" refer to funds provided by governments or public institutions for the operation of a system.

[0030] "Response script" refers to a pre-designed program that enables the virtual instructor to provide appropriate responses to user comments and questions. [Brief explanation of the drawings]

[0031] [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

[0032] 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.

[0033] First, the terms used in the following description will be explained.

[0034] 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).

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] [First embodiment]

[0040] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0041] 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.

[0042] 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).

[0043] 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.

[0044] 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.

[0045] 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.

[0046] 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.

[0047] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0048] 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.

[0049] 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.

[0050] 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.

[0051] 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."

[0052] The present invention is a language learning system that allows users to create an account on the platform, select their preferred virtual instructor from multiple options that vary in personality, gender, and location, and specify the lesson content and time. The system's server handles all data processing, and users can access the system freely at any time from their own devices. The system is provided completely free of charge and also includes a "study time sharing" feature to reduce educational disparities.

[0053] Create a user account

[0054] 1. Create an account

[0055] A user accesses the platform and opens the account creation page, where they fill out the registration form with their name, email address, password, language preferences, etc.

[0056] The server receives the information, stores it in a database, and returns a message to the user indicating that the account creation is complete.

[0057] Virtual lecturer generation

[0058] 2. Instructor Generation

[0059] The server generates multiple virtual instructors with different personalities, genders, and regions, which includes storing each instructor's profile (personality, gender, region, etc.) in a database.

[0060] Each virtual instructor is also set with information such as educational content and response scripts.

[0061] Selecting a teacher and starting classes

[0062] 3. Select a teacher and request a lesson

[0063] Users log in to the platform and select the desired virtual instructor, lesson content, and lesson time.

[0064] The server receives the selection, verifies the schedule with the specified virtual instructor, and, if successful, provides the user with a link to the class session.

[0065] 4. Class implementation

[0066] The user clicks on the provided link to begin the class session at the specified time.

[0067] The virtual teacher, a server-side program, analyzes users' comments in real time and provides appropriate feedback, helping users to learn languages ​​more effectively.

[0068] Record and share study time

[0069] 5. Record your study time

[0070] After the lesson ends, the server records the user's study time in a database.

[0071] The recorded study time will be accumulated as "study time sharing" and used to reduce educational disparities.

[0072] Totally free to maintain

[0073] 6. Revenue Management

[0074] The server manages advertising fees from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, subsidies from the government, etc. These revenues cover the operating costs of the system.

[0075] This means that all users can take classes completely free of charge.

[0076] Specific examples

[0077] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[0078] 1. Tanaka accesses the account creation page and enters the required information to register.

[0079] 2. The server saves Tanaka's information and completes the account creation.

[0080] 3. Tanaka logs in to the platform and selects the virtual instructor, lesson content, and time of the lesson.

[0081] 4. The server receives the request and provides Tanaka with a link to the class session.

[0082] 5. John clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[0083] 6. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[0084] In this way, this system provides high-quality language education by virtual instructors free of charge and has the function of reducing educational disparities.

[0085] The processing flow will be explained below.

[0086] Create a user account

[0087] Step 1:

[0088] A user visits the platform and opens the account creation page.

[0089] Step 2:

[0090] A user fills out a registration form with information such as name, email address, password, and language preferences.

[0091] Step 3:

[0092] The user terminal checks the input content and verifies that there are no input errors or blank spaces.

[0093] Step 4:

[0094] The user clicks the "Register" button and sends the entered information to the server.

[0095] Step 5:

[0096] The server stores the received information in a database and creates an account.

[0097] Step 6:

[0098] The server sends a notification to the user terminal that the account creation has been completed.

[0099] Virtual lecturer generation

[0100] Step 1:

[0101] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings.

[0102] Step 2:

[0103] The server creates profile data (personality, gender, region, etc.) for each virtual teacher and stores it in a database.

[0104] Step 3:

[0105] The server generates the virtual instructor's natural language processing and response scripts and loads the necessary AI models.

[0106] Selecting a teacher and starting classes

[0107] Step 1:

[0108] The user logs in to the platform and opens the instructor selection page.

[0109] Step 2:

[0110] Displays a list of virtual instructors stored on the server.

[0111] Step 3:

[0112] The user selects the desired virtual instructor and enters the lesson content (e.g., Business English) and lesson time (e.g., 19:00-20:00).

[0113] Step 4:

[0114] The user terminal transmits the selection and input to the server.

[0115] Step 5:

[0116] The server receives the request and checks whether the specified virtual instructor is available.

[0117] Step 6:

[0118] If the server is able to offer the lesson, it will return the lesson link and a confirmation message to the user terminal.

[0119] Step 7:

[0120] Users click on the provided link when class time arrives.

[0121] Step 8:

[0122] The server initiates a lesson session, and the virtual instructor provides language instruction to the user.

[0123] Record and share study time

[0124] Step 1:

[0125] After the class ends, the server records the user's study time in a database.

[0126] Step 2:

[0127] The server stores the recorded study time as "study time sharing."

[0128] Totally free to maintain

[0129] Step 1:

[0130] The server manages the advertising space on the platform and records advertising fees as revenue.

[0131] Step 2:

[0132] The server manages recruitment agency fees for foreign language talent, donations from companies, and subsidies from the government.

[0133] Step 3:

[0134] The server pays operating expenses from the revenue and covers the operating costs of the platform.

[0135] Step 4:

[0136] The server maintains the system so that all users can take classes for free.

[0137] Example 1

[0138] 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."

[0139] Traditional language learning systems face challenges such as high costs, limited access to certain users, and dependency on specific instructors, resulting in educational disparities. They also lack real-time feedback, limiting learning outcomes. Furthermore, they lack the ability to share or reallocate learning time, creating a lack of a collaborative learning environment.

[0140] 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.

[0141] In this invention, the server includes a means for a user to access an account creation page and input the necessary information into a registration form and submit it, a means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database, and a means for recording the user's study time after the class ends and accumulating and sharing that study time. This allows all users to receive high-quality language education free of charge, receive real-time feedback, and reduce educational disparities.

[0142] "User" refers to an individual who uses the System to learn a language.

[0143] "Account Creation Page" means a web page that allows a User to register a new Account.

[0144] "Registration Form" means a web form that contains fields for a User to enter information required to create an Account.

[0145] "Server" refers to a computer system that stores information in a database and executes various processes.

[0146] "Database" refers to the storage system in which user information and virtual instructor profile information is stored.

[0147] "Virtual instructor" refers to an instructor character generated by a computer program, with a set personality, gender, region, etc.

[0148] "Profile" refers to detailed information about a Virtual Instructor, such as personality, gender, location, etc.

[0149] "Coursework" means the specific topic or subject that a User wishes to learn in a Session with a Virtual Instructor.

[0150] "Lesson Hour" means the date, time and duration designated by a User for a Session with a Virtual Instructor.

[0151] "Class session link" refers to the URL or access point required for a user to join a specific class.

[0152] "Study Time" refers to the time a User spends in class with a Virtual Instructor.

[0153] "Storage" refers to the process by which information stored in a database is added and accumulated.

[0154] "Sharing" means that specific information or resources are accessed and used by multiple users.

[0155] "Advertising Fees" refers to revenues earned from advertisements displayed on the System.

[0156] "Recruitment agency fees" refers to the fees earned when mediating the recruitment of foreign language personnel.

[0157] "Donations" refer to free financial contributions provided by companies or individuals.

[0158] "Subsidy" refers to funds provided by public agencies for the operation of the system.

[0159] "Feedback" refers to the evaluation or criticism provided by the virtual instructor in response to a user's comments or actions.

[0160] "Educational inequality" refers to disparities in educational quality and opportunities that arise due to regional or economic reasons.

[0161] "Study time sharing" refers to a system in which users share the time they spend studying with other users and redistribute it as a resource.

[0162] The present invention is a language learning system in which users create an account and choose from a selection of virtual instructors. The system's server handles all data processing, and users can access it freely at any time from their own devices. It is also provided completely free of charge and includes a "study time sharing" feature to reduce educational disparities. A specific embodiment of this system is described below.

[0163] First, a user accesses the platform's account creation page using a web browser. They enter their name, email address, password, and preferred language into the registration form and submit it. The device checks the entered information and sends the data to the server when the submit button is pressed. The server stores the received information in a database and sends a confirmation email to the user's email address if the account creation is successful.

[0164] The server uses a generative AI model to generate virtual instructors with different profiles, such as personality, gender, and region. A prompt sentence is input to the model to create an instructor profile. Each virtual instructor is also configured with educational content and response scripts, which are then stored in a database.

[0165] When a user logs in to the platform, they can access a screen where they can select their preferred virtual instructor. They then select their preferred instructor and specify the desired lesson content and lesson time. The device sends the selection to the server, which receives the information and confirms the schedule for the specified virtual instructor and time. If the schedule is successful, a link for the lesson session is generated and provided to the user.

[0166] Users click on the provided link to join the lesson session at the designated time. The device provides an interface that allows for real-time voice and text interaction. Meanwhile, the virtual instructor on the server analyzes the user's speech in real time and provides appropriate feedback, such as corrections to the user's pronunciation and grammar, or additional practice questions.

[0167] After the lesson ends, the server automatically records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities. The server uses this information to manage revenue and cover the system's operating costs. Specifically, this includes revenue from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, and subsidies from public institutions.

[0168] (Example)

[0169] Here's how a user named Tanaka creates an account, selects a friendly female virtual instructor from the United States, and takes a business English class from 7:00 PM to 8:00 PM.

[0170] 1. Tanaka accesses the account creation page and registers by entering his name "Taro Tanaka", email "tanaka@example.com", password "password123", and language of interest "English".

[0171] 2. The server saves Tanaka's information and completes the account creation.

[0172] 3. Tanaka logs into the platform, selects a friendly female virtual instructor, and selects the lesson as "Business English" and the lesson time as "7:00 PM to 8:00 PM."

[0173] 4. The server receives the request, generates a link to the class session, and provides it to Tanaka.

[0174] 5. John clicks the link to start the lesson, with the virtual instructor providing real-time guidance.

[0175] 6. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[0176] In this way, the system can provide high-quality language education by virtual instructors free of charge and reduce educational disparities.

[0177] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0178] Step 1:

[0179] Input: A user visits the account creation page and enters their name, email address, password, and language preferences.

[0180] Specific behavior:

[0181] User: Visits the platform's account creation page in a web browser and enters the required information.

[0182] Terminal: Checks the contents of the input form and sends the data to the server when the submit button is pressed.

[0183] Output: The input information is sent to the server.

[0184] Step 2:

[0185] Input: The submitted user information.

[0186] Specific behavior:

[0187] Server: Stores the received user information in a database. Sends a confirmation email to the user's email address confirming that the account was created successfully.

[0188] Output: Saves user information and sends a confirmation email.

[0189] Step 3:

[0190] Input: A prompt for the generative AI model.

[0191] Specific behavior:

[0192] Server: Uses a generative AI model to generate virtual instructors with different personalities, genders, and regions. Enter prompts into this model to create instructor profiles.

[0193] Output: Virtual instructor profile data is generated and stored in a database.

[0194] Step 4:

[0195] Input: Login information provided by the user.

[0196] Specific behavior:

[0197] User: Log in to the platform, select the desired virtual instructor, and specify the desired lesson content and lesson time.

[0198] Device: Sends the user's selection information to the server.

[0199] Output: The selected virtual instructor and lesson configuration information is sent to the server.

[0200] Step 5:

[0201] Input: Virtual instructor and class setup information.

[0202] Specific behavior:

[0203] Server: Based on the received information, it checks the schedule for the specified virtual instructor and time. If there are no problems, it generates a link for the class session and provides it to the user.

[0204] Output: A link to the lesson session is generated and provided to the user.

[0205] Step 6:

[0206] Input: The teaching session link provided.

[0207] Specific behavior:

[0208] User: Clicks on the provided link and joins the class session at the specified time.

[0209] Terminal: Provides an interface that allows real-time voice and text interaction.

[0210] Output: A teaching session begins in real time.

[0211] Step 7:

[0212] Input: What the user says and does.

[0213] Specific behavior:

[0214] Server: The virtual instructor analyzes the user's speech in real time and provides appropriate feedback, such as correcting the user's pronunciation and grammar, or suggesting additional practice questions.

[0215] Output: Real-time feedback on what the user says.

[0216] Step 8:

[0217] Input: Log data after the lesson ends.

[0218] Specific behavior:

[0219] Server: After the lesson ends, the user's study time is recorded in the database. Based on this information, the study time sharing data is updated.

[0220] Output: Updated data for recording and sharing study time.

[0221] Step 9:

[0222] Inputs: Advertisements displayed on the system, recruitment agency fees, donations, and grants.

[0223] Specific behavior:

[0224] Server: Manages revenue to cover the system's operating costs. It collects advertising fees, recruitment agency fees, corporate donations, and subsidies from public institutions, and distributes them efficiently.

[0225] Output: System operating costs are covered and tuition remains free.

[0226] (Application example 1)

[0227] 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."

[0228] In traditional brick-and-mortar shopping experiences, it is difficult to provide appropriate advice and information tailored to individual users' needs and preferences. Furthermore, language barriers and regional accessibility gaps can leave users dissatisfied with their shopping experience. Therefore, there is a need for a system that allows users to shop smoothly in-store and achieve satisfactory results.

[0229] 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.

[0230] In this invention, the server includes: a means for a user to access an account creation page and enter and submit the information required in the registration form; a means for the server to save the received information in a database and create an account; a means for generating a plurality of virtual assistants with different personalities, genders, and areas of expertise and saving their profiles in a database; a means for the user to select the desired virtual assistant, service content, and time and send the selection to the server; a means for the server to accept the user's request, confirm whether the request can be handled by a virtual assistant, and provide the user with a link to the service session; a means for the server to record the user's usage time after the service is completed and accumulate and share that usage time; and a means for the server to manage revenue such as advertising fees, recruitment agency fees, donations, and subsidies and cover the operating costs of the system. This enables users to receive high-quality assistance tailored to their individual needs even in physical stores, and also makes it possible to operate the system sustainably.

[0231] "User" means an individual or organization that accesses the System and uses the shopping experience or services.

[0232] An "account creation page" is a web page or application screen where a user can enter the required information to register with the system.

[0233] "Server" is a central computer that processes data for the entire system, manages user information, generates virtual assistants, and provides services.

[0234] "Database" means a data management system for the System to store User information, Virtual Assistant profiles, and other necessary data.

[0235] A "virtual assistant" is a virtual presence with different profiles based on personality, gender, and area of ​​expertise, that provides services and advice tailored to the user's individual needs.

[0236] "Service Content" refers to the specific information or advice that a user requests from a virtual assistant.

[0237] A "service session" is a series of interactions and information exchanges between a user and a virtual assistant over a specified period of time.

[0238] A "link" is a web address or a specific point within an application that a user uses to access a service session with a virtual assistant.

[0239] "Usage time" is the total amount of time a user spends using a service session with a virtual assistant or a function within the system.

[0240] "Advertising Fees" refers to revenue earned from advertisements displayed on the Platform.

[0241] "Recruitment agency fees" are fees received by the system when companies or individuals conduct job searches.

[0242] "Donations" are funds provided to support the operation of the System.

[0243] A "subsidy" is funding provided by a government or public agency to cover part of the operating costs of a system.

[0244] "Revenue" means monetary resources to support the operation of the system, including advertising fees, recruitment agency fees, donations, and grants.

[0245] The present invention provides a virtual shopping assistant system that allows users to have an effective shopping experience in a physical store.

[0246] Program processing

[0247] 1. Create a user account:

[0248] The user accesses the account creation page, enters the required information (name, email address, password, purpose of purchase, product categories they are interested in), and submits it. The server stores the received information in a database and creates a user account.

[0249] 2. Creating a Virtual Assistant:

[0250] The server generates multiple virtual assistants with different personalities, genders, and areas of expertise, and stores their profiles (personality, gender, area of ​​expertise, etc.) in a database.The virtual assistants have information and response scripts to provide product information and advice to users in real time.

[0251] 3. Select an assistant and start the service:

[0252] Users log in to their account and select the virtual assistant they want, the service they want (e.g., fashion advice for summer outdoors), and the time they want to use it. The selection is sent to the server, which accepts the request and checks whether the virtual assistant is available. If there are no issues, the server provides the user with a link to the service session.

[0253] 4. Performance of Services:

[0254] The user clicks on the provided link to start a service session at the specified time. The virtual assistant, a server-side program, analyzes the user's questions and comments in real time and provides appropriate feedback and advice, allowing the user to make an effective shopping experience.

[0255] 5. Recording usage time and managing system operating costs:

[0256] After the service ends, the server records the user's usage time in a database, and stores and shares that usage time. The server also manages revenues such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs.

[0257] Hardware and software used

[0258] Hardware:

[0259] Server: Amazon Web Services (AWS)

[0260] Client: Smartphone (iOS / Android), smart glasses (e.g., Google Glass), HMD (e.g., Oculus Quest)

[0261] software:

[0262] Database: MySQL

[0263] Server-side framework: Node.js

[0264] Client-side framework: React Native

[0265] Natural Language Processing (NLP): Google Cloud Natural Language API

[0266] Specific examples

[0267] For example, a user named Sato may create an account and select a fashionable female virtual assistant from Europe to receive advice on summer outdoor fashion.

[0268] 1. Sato accesses the account creation page and enters the required information to register.

[0269] 2. The server saves Mr. Sato's information and completes the account creation.

[0270] 3. Sato logs in to the application and selects the virtual assistant she wants and the service she wants (fashion advice for summer outdoor activities).

[0271] 4. The server receives the request and provides a service session link to Sato.

[0272] 5. Sato clicks the link to start the service, and the virtual assistant provides real-time advice.

[0273] Example prompts to input to a generative AI model:

[0274] plaintext

[0275] User: I'd like some advice on outdoor summer fashion.

[0276] Virtual Assistant: Thank you for your question! I'd like to recommend some lightweight, breathable clothing that's perfect for the outdoors. First, how about this casual shirt?

[0277] In this way, by providing a virtual shopping assistant system that supports the shopping experience in a physical store, users can receive high-quality advice tailored to their individual needs and preferences, and the system can be operated sustainably.

[0278] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0279] Step 1: User visits the account creation page

[0280] Input: A user visits the account creation page and fills in the required information in the form, such as their name, email address, password, purpose of purchase, and product categories of interest.

[0281] Data processing: Validating input information on the client side (React Native application)

[0282] Output: Successfully validated information is sent to the server

[0283] Step 2: The server saves the user information and creates an account

[0284] Input: User information sent by the client

[0285] Data processing: The server side (Node.js program) saves the received user information in the database (MySQL).

[0286] Output: The account creation is completed on the server side, and a message is sent to the user informing them of the account creation.

[0287] Step 3: Generate a Virtual Assistant

[0288] Input: The server receives the trigger to generate a virtual assistant

[0289] Data processing: The server generates multiple virtual assistants with different personalities, genders, and areas of expertise, and stores their profiles (personalities, genders, areas of expertise, etc.) in a database.

[0290] Output: Virtual assistant profile information stored in the database

[0291] Step 4: User selects assistant and service

[0292] Input: The user logs in to their account and selects the desired virtual assistant, service type, and time.

[0293] Data processing: Client side sends selections to server

[0294] Output: Selections are sent to the server

[0295] Step 5: The server accepts the request and provides a service session

[0296] Input: User request data

[0297] Data processing: The server analyzes the request, checks whether a virtual assistant is available, and generates a link for the service session.

[0298] Output: A service session link is provided to the user.

[0299] Step 6: Conduct a service session

[0300] Input: User clicks on the service session link to access the specified time

[0301] Data processing: The server-side virtual assistant analyzes the user's questions and statements in real time (using Google Cloud Natural Language API) and generates appropriate feedback and advice.

[0302] Output: Real-time feedback and advice to the user

[0303] Step 7: Record usage time and manage system operating costs

[0304] Input: User usage time after service session ends

[0305] Data processing: The server records usage time in a database. In addition, revenue from advertising fees, recruitment agency fees, donations, subsidies, etc. is tallied and the system's operating costs are managed.

[0306] Output: Usage time is accumulated in the database, and the management data for system operating costs is updated.

[0307] 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.

[0308] The present invention is a language learning system that allows users to create an account on the platform, select their preferred virtual instructor from multiple options with different personalities, genders, and regions, and specify the lesson content and time. The system's server handles all data processing, allowing users to access the system freely at any time from their own devices. The system is provided completely free of charge and also includes a "study time sharing" feature to reduce educational disparities. Furthermore, it incorporates an emotion engine that recognizes users' emotions, providing a more personalized learning experience.

[0309] Create a user account

[0310] 1. Create an account

[0311] A user accesses the platform and opens the account creation page, where they fill out the registration form with their name, email address, password, language preferences, etc.

[0312] The server receives the information, stores it in a database, and returns a message to the user indicating that the account has been created.

[0313] Virtual lecturer generation

[0314] 2. Instructor Generation

[0315] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings. It creates profile data (personality, gender, region, etc.) for each virtual instructor and stores it in a database.

[0316] Each virtual instructor is configured with educational content, response scripts, and an emotional engine.

[0317] Incorporating an emotion engine

[0318] 3. Emotion recognition

[0319] The server analyzes the user's comments and actions in real time and recognizes the user's emotional state through an emotion engine.

[0320] The emotion engine analyzes emotions (e.g., joy, interest, anxiety, fatigue) based on the user's text, voice, or video.

[0321] 4. Emotion-Based Response Modulation

[0322] The server receives the analysis results from the emotion engine and adjusts the virtual instructor's response appropriately. For example, if the user is feeling anxious, the virtual instructor will provide encouragement and support.

[0323] 5. Personalized learning experience

[0324] The server learns the user's emotional data and creates an individual emotional profile, which allows the virtual instructor to provide more personalized lessons.

[0325] Selecting a teacher and starting classes

[0326] 6. Select a teacher and request a lesson

[0327] Users log in to the platform and select the desired virtual instructor, lesson content, and lesson time.

[0328] The server receives the selection, verifies the schedule with the specified virtual instructor, and, if successful, provides the user with a link to the class session.

[0329] 7. Classes

[0330] The user clicks on the provided link to begin the class session at the specified time.

[0331] The virtual teacher, a server-side program, analyzes users' comments in real time and provides appropriate feedback using an emotion engine, helping users to learn languages ​​more effectively.

[0332] Record and share study time

[0333] 8. Record your study time

[0334] After class, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities.

[0335] Totally free to maintain

[0336] 9. Revenue Management

[0337] The server manages advertising fees from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, subsidies from the government, etc. These revenues cover the operating costs of the system.

[0338] Specific examples

[0339] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[0340] 1. Tanaka accesses the account creation page and enters the required information to register.

[0341] 2. The server saves Tanaka's information and completes the account creation.

[0342] 3. Tanaka logs in to the platform and selects the virtual instructor, lesson content, and time of the lesson.

[0343] 4. The server receives the request and provides Tanaka with a link to the class session.

[0344] 5. John clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[0345] 6. The virtual instructor uses the emotion engine to recognize Tanaka's emotions and adjust the response accordingly. For example, if Tanaka is nervous during class, the virtual instructor will provide advice on how to relax.

[0346] 7. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[0347] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[0348] The processing flow will be explained below.

[0349] Create a user account

[0350] Step 1:

[0351] A user visits the platform and opens the account creation page.

[0352] Step 2:

[0353] A user fills out a registration form with information such as name, email address, password, and language preferences.

[0354] Step 3:

[0355] The user's device checks the input and verifies that there are no input errors or blank spaces.

[0356] Step 4:

[0357] The user clicks the "Register" button and sends the entered information to the server.

[0358] Step 5:

[0359] The server stores the received information in a database and creates an account.

[0360] Step 6:

[0361] The server sends a notification to the user terminal that the account creation has been completed.

[0362] Virtual lecturer generation

[0363] Step 1:

[0364] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings.

[0365] Step 2:

[0366] The server creates profile data (personality, gender, region, etc.) for each virtual teacher and stores it in a database.

[0367] Step 3:

[0368] The server generates the virtual instructor's natural language processing and response scripts and loads the necessary AI models.

[0369] Incorporating an emotion engine

[0370] Step 1:

[0371] The server implements an emotion engine to analyze users' comments and actions in real time.

[0372] Step 2:

[0373] The emotion engine analyzes the user's text, voice, or video data to recognize emotions such as joy, interest, anxiety, and fatigue.

[0374] Step 3:

[0375] The server receives the analysis results from the emotion engine and adjusts the virtual instructor's responses appropriately.

[0376] Selecting a teacher and starting classes

[0377] Step 1:

[0378] The user logs in to the platform and opens the instructor selection page.

[0379] Step 2:

[0380] Displays a list of virtual instructors stored on the server.

[0381] Step 3:

[0382] The user selects the desired virtual instructor and enters the lesson content (e.g., Business English) and lesson time (e.g., 19:00-20:00).

[0383] Step 4:

[0384] The user device sends the selections and inputs to the server.

[0385] Step 5:

[0386] The server receives the request and checks whether the specified virtual instructor is available.

[0387] Step 6:

[0388] If the server is able to offer the lesson, it will return the lesson link and a confirmation message to the user's device.

[0389] Step 7:

[0390] Users click on the provided link when class time arrives.

[0391] Step 8:

[0392] The server initiates a lesson session, and the virtual instructor provides language instruction to the user.

[0393] Step 9:

[0394] The virtual instructor uses an emotion engine to recognize the user's emotions and adjust the response accordingly.

[0395] Record and share study time

[0396] Step 1:

[0397] After the class ends, the server records the user's study time in a database.

[0398] Step 2:

[0399] The server stores the recorded study time as "study time sharing."

[0400] Totally free to maintain

[0401] Step 1:

[0402] The server manages the advertising space on the platform and records advertising fees as revenue.

[0403] Step 2:

[0404] The server manages recruitment agency fees for foreign language talent, donations from companies, and subsidies from the government.

[0405] Step 3:

[0406] The server pays operating expenses from the revenue and covers the operating costs of the platform.

[0407] Step 4:

[0408] The server maintains the system so that all users can take classes for free.

[0409] Specific examples

[0410] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[0411] Step 1:

[0412] Tanaka accesses the account creation page, enters the required information, and registers.

[0413] Step 2:

[0414] The server saves Tanaka's information and completes the account creation.

[0415] Step 3:

[0416] Tanaka logs into the platform and selects the virtual instructor he wants, the lesson content, and the time.

[0417] Step 4:

[0418] The server receives the request and provides Tanaka with a link to the class session.

[0419] Step 5:

[0420] Tanaka clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[0421] Step 6:

[0422] The virtual instructor uses an emotion engine to recognize Tanaka's emotions and adjust the response accordingly. For example, if Tanaka is nervous during class, the virtual instructor will offer advice on how to relax.

[0423] Step 7:

[0424] After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[0425] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[0426] Example 2

[0427] 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."

[0428] In today's education system, it is difficult for users to receive a learning experience that meets their individual needs, especially when it comes to providing personalized education that takes into account their emotional state. It is also challenging to eliminate educational disparities and provide free, high-quality educational resources to all users. In addition, efficient methods are needed to manage diverse revenue streams and cover system operating costs.

[0429] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0430] In this invention, the server includes: means for a user to access an account creation page and enter and submit the information required in the registration form; means for the server to save the received information in a database and create an account; means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database; means for a user to select a desired virtual instructor, lesson content, and time and send the selection to the server; means for the server to accept the user's request, confirm whether the virtual instructor is available, and provide the user with a link to the lesson session; means for the server to analyze the user's emotional state in real time using an emotion engine and adjust a response based on the emotion; means for the server to record the user's study time after the lesson ends and accumulate and share the study time; and means for the server to manage revenue such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs. This allows users to receive personalized, high-quality educational resources free of charge, which can also contribute to eliminating educational disparities.

[0431] "User" refers to an individual who accesses the System, creates an account, selects a Virtual Instructor, and takes a class.

[0432] "Account Creation Page" means a web page where a User enters and submits information such as their name, email address, password, and language preferences.

[0433] "Server" refers to a computer system that receives information sent by users, stores it in a database, creates accounts, generates virtual instructors, uses an emotion engine, records learning time, manages revenue, etc.

[0434] "Database" refers to a data structure designed to efficiently store, manage, and retrieve information.

[0435] A "virtual instructor" refers to a computer-generated teaching assistant with different profiles based on personality, gender, and region, and is configured to link with the teaching content, response scripts, and emotion engine.

[0436] An "emotion engine" refers to an analysis system that analyzes a user's statements and actions in real time, recognizes their emotional state, and provides appropriate feedback.

[0437] "Classroom Session" refers to an educational activity that a User engages in with a Virtual Instructor at a specific time.

[0438] "Study time sharing" refers to a system that reallocates users' recorded study time in order to reduce educational disparities.

[0439] "Revenue" refers to monetary income used to cover the system's operating costs, such as advertising fees, recruitment agency fees, donations, and subsidies.

[0440] "Personalized education" refers to providing an educational experience that is optimized according to the user's individual needs and emotional state.

[0441] The present invention is a system that allows users to create an account on the platform, select a desired instructor from multiple virtual instructors with different personalities, genders, and regions, and specify the lesson content and lesson time to begin language learning. The detailed implementation method is described below.

[0442] First, the user accesses the platform using their device and opens the account creation page. The user enters information such as name, email address, password, and language preferences into the registration form and submits it. This information is received by the server and stored in a database. The server then sends a message back to the user indicating that the account creation has been completed.

[0443] Next, the server generates multiple virtual instructors with different personalities, genders, and regions. These virtual instructors have profile data (personality, gender, region, etc.), and each data is stored in a database. Each virtual instructor is also configured with educational content, response scripts, and settings for linking with an emotion engine. The emotion engine is a system that analyzes the user's comments and actions in real time and recognizes the user's emotional state.

[0444] When a user logs in to the platform and selects the desired virtual instructor, lesson content, and lesson time, the server receives the selection, checks the schedule for the specified virtual instructor and time, and if there are no problems, provides the user with a link to the lesson session.

[0445] When a user clicks the provided link to begin the lesson, the virtual instructor, a server-side program, analyzes the user's comments in real time. The emotion engine is then utilized to provide appropriate feedback based on the user's emotional state. For example, if the user is feeling anxious, the virtual instructor will offer encouragement and support.

[0446] After the lesson ends, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities.

[0447] In addition, the server manages revenues from advertising fees, recruitment agency fees, donations, subsidies, etc. to cover the system's operating costs, allowing the platform to be provided completely free of charge and contributing to the elimination of educational disparities.

[0448] As a concrete example, consider the case where a user named Tanaka creates an account, selects a friendly female virtual tutor from the United States, and takes a business English class from 7:00 PM to 8:00 PM. Tanaka first accesses the account creation page and registers by entering the required information. He then logs into the platform and selects the desired virtual tutor, lesson content, and time. The server receives the request and provides Tanaka with a link to the lesson session. When Tanaka clicks the link to start the lesson, the virtual tutor provides instruction in real time and uses an emotion engine to recognize Tanaka's emotions and provide feedback. After the lesson ends, the server records Tanaka's study time and accumulates it as "study time sharing."

[0449] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[0450] An example of a prompt sentence might be:

[0451] Example prompt:

[0452] Describe in detail each step your server takes when Tanaka creates an account, and what happens when Tanaka selects a friendly female virtual teacher from the United States to take a business English class.

[0453] In this way, this system provides highly personalized educational services according to the needs of users, and also contributes to eliminating educational disparities.

[0454] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0455] Step 1:

[0456] A user accesses the platform using a device and opens the account creation page. The user enters their name, email address, password, language preferences, etc. into the registration form. The entered information is sent to the server by pressing the submit button on the form. Input data: name, email address, password, language preferences. Output data: user information sent to the server.

[0457] Step 2:

[0458] The server stores the received user information in a database. If the storage is successful, it generates a confirmation message indicating that the account creation has been completed and sends it back to the user's device. Input data: User information. Output data: User information stored in the database, confirmation message.

[0459] Step 3:

[0460] The server generates multiple virtual instructors with different personalities, genders, and regions. For each virtual instructor, profile data (personality, gender, region, etc.) is created and saved in a database. Educational content and response scripts are also added to the virtual instructors, and linkage with the emotion engine is configured. Input data: Virtual instructor generation parameters (personality, gender, region, etc.). Output data: Virtual instructor profile saved in the database.

[0461] Step 4:

[0462] The user logs in to the platform from their device and selects the desired virtual instructor, lesson content, and lesson time. The selection is sent to the server. Input data: User-selected virtual instructor, lesson content, and lesson time. Output data: Selection sent to the server.

[0463] Step 5:

[0464] The server receives the user's selection and checks the schedule for the specified virtual instructor and time. If there are no problems with the schedule, it generates a link for the lesson session and provides it to the user. Input data: User's selection. Output data: Lesson session link.

[0465] Step 6:

[0466] The user clicks on the provided link to start the teaching session. The virtual instructor, a server-side program, analyzes the user's utterances in real time. Input data: User's link click, user's utterances. Output data: User's utterances analyzed in real time.

[0467] Step 7:

[0468] The server uses an emotion engine to analyze the user's emotional state in real time. Based on the results, the virtual instructor provides appropriate feedback. Input data: User's utterances and actions. Output data: User's emotional state, adjusted feedback.

[0469] Step 8:

[0470] After the lesson ends, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing." Input data: End time of the lesson session. Output data: The user's study time recorded in the database.

[0471] Step 9:

[0472] The server manages revenues such as advertising fees from advertisements displayed on the platform, recruitment agency fees, donations, and subsidies. These revenues are used to cover the operating costs of the system. Input data: advertising fees, recruitment agency fees, donations, and subsidies. Output data: managed revenues, operating costs.

[0473] (Application example 2)

[0474] 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."

[0475] While the demand for language learning is increasing in modern society, there is a lack of means to provide personalized learning experiences tailored to the needs of individual learners. Furthermore, the issue of educational inequality persists, with many learners unable to access education due to financial constraints. Therefore, there is a need to provide high-quality education equitably to all learners. Furthermore, there is a need for systems that can respond flexibly to learners' emotional states, but existing systems are not able to adequately adapt to such needs.

[0476] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0477] In this invention, the server includes: a means for a user to access an account creation page and enter and submit the required information in a registration form; a means for the server to save the received information in a database and create an account; a means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database; a means for a user to select a desired virtual instructor, lesson content, and time and send the selection to the server; a means for the server to accept the user's request, confirm whether a virtual instructor is available, and provide the user with a link to the lesson session; a means for the server to record the user's study time after the lesson ends and accumulate and share the study time; a means for the server to manage revenue such as advertising fees, recruitment fees, donations, and subsidies and cover system operating costs; a means for the server to analyze the user's comments using an emotion recognition engine and identify the user's emotional state in real time; a means for adjusting the virtual instructor's responses based on the identified emotional state; and a means for installing an application on a smartphone, smart glasses, or head-mounted display to provide a personalized learning experience. This enables highly personalized education to all learners, flexible responses according to emotional states, and reduces educational disparities and provides equal learning opportunities.

[0478] "User" means an individual learner or registrant who uses the System to study a language.

[0479] An "account creation page" is a web page or interface through which a user may enter the necessary information to register.

[0480] "Registration Form" means an online form where a User may enter information such as name, email address, password, and language preferences to create an Account.

[0481] A "server" is a computer system or network that receives and processes user requests.

[0482] "Database" refers to a system for storing data such as received information, virtual instructor profiles, and user study time.

[0483] A "virtual teacher" is a computer program or AI that has multiple teacher profiles with different personalities, genders, and regions and gives lessons to users.

[0484] The "profile" is attribute information about the virtual instructor, such as personality, gender, region, educational content, and response script.

[0485] A "class session" is an online learning period during which a user and a virtual instructor interact to advance learning content.

[0486] An "emotion recognition engine" is software or algorithm that analyzes what a user says and identifies their emotional state in real time.

[0487] A "personalized learning experience" is learning content and feedback that is tailored to a user's individual needs and emotional state.

[0488] A "smartphone" is a mobile phone that has the ability to connect to the Internet and install applications.

[0489] "Smart glasses" are glasses-type devices that have display functions for displaying information and interacting with the wearer.

[0490] A "head-mounted display" is a headset-type display device that displays information in the user's field of vision.

[0491] The system for implementing this invention begins when a user accesses an account creation page, enters the required information in the registration form, and submits it. The server saves the received information in a database and creates an account. This process uses Flask as the web application framework and SQLite or another RDBMS as the database.

[0492] The server generates multiple virtual instructors with different personalities, genders, and regions, and stores their profiles in a database. The virtual instructors are built as AI models, and are configured with educational content, response scripts, and an emotion recognition engine. Users select their desired virtual instructor, lesson content, and time based on their learning needs, and send their selection to the server. The server accepts the user's request, checks whether a virtual instructor is available, and provides the user with a link to the lesson session.

[0493] During the lesson session, the user's speech is analyzed by an emotion recognition engine to identify their emotional state in real time. Apache OpenNLP and Google Cloud Natural Language API are used for the emotion recognition engine. The server then adjusts the virtual instructor's responses based on the user's emotional state, providing a personalized learning experience for the user. Users access the application through their smartphone, smart glasses, or head-mounted display and participate in the learning session. The application functions as a web application built on Flask and is installed on the device.

[0494] After the class ends, the server records the user's study time, and stores and shares that time. The server also redistributes the user's study time as a "study time share" to reduce educational disparities. Furthermore, the server manages revenues from advertising fees, recruitment agency fees, donations, subsidies, etc. to cover the system's operating costs.

[0495] A specific example of this is the following operation: A user accesses an account creation page, enters information such as their name, email address, and language of interest, and then submits it. The server stores the received information in a database and creates an account. The user then selects the desired virtual instructor, lesson content, and lesson time, and sends this information to the server. The server receives the request and provides the user with a link to the lesson session. When the user clicks the link to begin the lesson, the virtual instructor provides instruction in real time and analyzes the user's emotional state using an emotion recognition engine. For example, if a user says, "I am feeling a bit nervous about this lesson," the emotion recognition engine identifies the emotion as "nervous," and the virtual instructor adjusts its response. After the lesson ends, the server records the user's study time and redistributes it as "study time sharing." This makes it possible to provide highly personalized education to all learners and flexibly respond to their emotional states.

[0496] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0497] Step 1:

[0498] A user visits the account creation page, fills in the registration form with information such as their name, email address, password, and language preferences, and submits it.

[0499] Specifically, the user enters the necessary information using a browser or application and presses the "Submit" button.

[0500] Input: Name, Email Address, Password, Language Interest

[0501] Output: Account creation request

[0502] Step 2:

[0503] The server stores the received information in its database, creates the account, and returns a message to the user confirming registration.

[0504] Specifically, the server uses Flask to receive POST requests, save the user information to the database, and then display a message to the user confirming that their account has been created.

[0505] Input: Account creation request (name, email address, password, language preferences)

[0506] Output: Account creation complete message

[0507] Step 3:

[0508] The server generates a plurality of virtual instructors with different personalities, genders, and regions, and stores their profiles in a database.

[0509] Specifically, the server uses the AI ​​model to generate virtual instructors and stores their profile data in a database. Each virtual instructor is configured with educational content, response scripts, and an emotion engine.

[0510] Input: Virtual instructor creation request

[0511] Output: Virtual instructor profile data

[0512] Step 4:

[0513] The user selects the desired virtual instructor, lesson content, and time, and transmits the selection to the server.

[0514] Specifically, the user selects the desired instructor from a list of virtual instructors within the application, specifies the lesson content and date and time, and presses the "Send Request" button.

[0515] Input: Selected virtual instructor, lesson content, lesson time

[0516] Output: Lesson request

[0517] Step 5:

[0518] The server accepts the user's request, checks availability with the virtual instructor, and provides the user with a link to the class session.

[0519] Specifically, the server checks the virtual instructor's schedule from the database, and if there are no problems, it generates a link to the lesson session and provides it to the user.

[0520] Input: Lesson request

[0521] Output: Link to class session

[0522] Step 6:

[0523] During a class session, the server analyzes what the user says using an emotion recognition engine to identify the user's emotional state in real time.

[0524] Specifically, the server uses Apache OpenNLP and Google Cloud Natural Language API to perform text analysis of the user's speech and identify their emotional state.

[0525] Input: What the user says

[0526] Output: User's emotional state

[0527] Step 7:

[0528] The server adjusts the virtual instructor's responses based on the identified emotional state to provide personalized feedback.

[0529] Specifically, the server selects a response script according to the emotional state, and the virtual instructor provides appropriate feedback.

[0530] Input: User's emotional state

[0531] Output: Personalized feedback

[0532] Step 8:

[0533] After class ends, the server records the user's study time, stores that study time in a database, and shares it.

[0534] Specifically, the server calculates the study time after the lesson ends and stores it in a database.

[0535] Input: End time of class

[0536] Output: Recorded study time

[0537] Step 9:

[0538] In order to reduce educational disparities, the server reallocates the study time used by users as "study time sharing."

[0539] As a specific operation, the server reallocates the recorded learning time and provides learning opportunities to new users.

[0540] Input: Recorded study time

[0541] Output: Reallocation by "study time sharing"

[0542] Step 10:

[0543] The server manages revenue from advertising fees, recruitment agency fees, donations, subsidies, etc., and covers the system's operating costs.

[0544] Specifically, the server records the revenue information in a database and uses it as system operating costs.

[0545] Input: Advertising fees, recruitment agency fees, donations, and subsidy data

[0546] Output: System operating cost management

[0547] 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.

[0548] 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.

[0549] 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.

[0550] [Second embodiment]

[0551] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0552] 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.

[0553] 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).

[0554] 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.

[0555] 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.

[0556] 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).

[0557] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0558] 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.

[0559] 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.

[0560] 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.

[0561] 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.

[0562] 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."

[0563] The present invention is a language learning system that allows users to create an account on the platform, select their preferred virtual instructor from multiple options that vary in personality, gender, and location, and specify the lesson content and time. The system's server handles all data processing, and users can access the system freely at any time from their own devices. The system is provided completely free of charge and also includes a "study time sharing" feature to reduce educational disparities.

[0564] Create a user account

[0565] 1. Create an account

[0566] A user accesses the platform and opens the account creation page, where they fill out the registration form with their name, email address, password, language preferences, etc.

[0567] The server receives the information, stores it in a database, and returns a message to the user indicating that the account creation is complete.

[0568] Virtual lecturer generation

[0569] 2. Instructor Generation

[0570] The server generates multiple virtual instructors with different personalities, genders, and regions, which includes storing each instructor's profile (personality, gender, region, etc.) in a database.

[0571] Each virtual instructor is also set with information such as educational content and response scripts.

[0572] Selecting a teacher and starting classes

[0573] 3. Select a teacher and request a lesson

[0574] Users log in to the platform and select the desired virtual instructor, lesson content, and lesson time.

[0575] The server receives the selection, verifies the schedule with the specified virtual instructor, and, if successful, provides the user with a link to the class session.

[0576] 4. Class implementation

[0577] The user clicks on the provided link to begin the class session at the specified time.

[0578] The virtual teacher, a server-side program, analyzes users' comments in real time and provides appropriate feedback, helping users to learn languages ​​more effectively.

[0579] Record and share study time

[0580] 5. Record your study time

[0581] After the lesson ends, the server records the user's study time in a database.

[0582] The recorded study time will be accumulated as "study time sharing" and used to reduce educational disparities.

[0583] Totally free to maintain

[0584] 6. Revenue Management

[0585] The server manages advertising fees from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, subsidies from the government, etc. These revenues cover the operating costs of the system.

[0586] This means that all users can take classes completely free of charge.

[0587] Specific examples

[0588] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[0589] 1. Tanaka accesses the account creation page and enters the required information to register.

[0590] 2. The server saves Tanaka's information and completes the account creation.

[0591] 3. Tanaka logs in to the platform and selects the virtual instructor, lesson content, and time of the lesson.

[0592] 4. The server receives the request and provides Tanaka with a link to the class session.

[0593] 5. John clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[0594] 6. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[0595] In this way, this system provides high-quality language education by virtual instructors free of charge and has the function of reducing educational disparities.

[0596] The processing flow will be explained below.

[0597] Create a user account

[0598] Step 1:

[0599] A user visits the platform and opens the account creation page.

[0600] Step 2:

[0601] A user fills out a registration form with information such as name, email address, password, and language preferences.

[0602] Step 3:

[0603] The user terminal checks the input content and verifies that there are no input errors or blank spaces.

[0604] Step 4:

[0605] The user clicks the "Register" button and sends the entered information to the server.

[0606] Step 5:

[0607] The server stores the received information in a database and creates an account.

[0608] Step 6:

[0609] The server sends a notification to the user terminal that the account creation has been completed.

[0610] Virtual lecturer generation

[0611] Step 1:

[0612] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings.

[0613] Step 2:

[0614] The server creates profile data (personality, gender, region, etc.) for each virtual teacher and stores it in a database.

[0615] Step 3:

[0616] The server generates the virtual instructor's natural language processing and response scripts and loads the necessary AI models.

[0617] Selecting a teacher and starting classes

[0618] Step 1:

[0619] The user logs in to the platform and opens the instructor selection page.

[0620] Step 2:

[0621] Displays a list of virtual instructors stored on the server.

[0622] Step 3:

[0623] The user selects the desired virtual instructor and enters the lesson content (e.g., Business English) and lesson time (e.g., 19:00-20:00).

[0624] Step 4:

[0625] The user terminal transmits the selection and input to the server.

[0626] Step 5:

[0627] The server receives the request and checks whether the specified virtual instructor is available.

[0628] Step 6:

[0629] If the server is able to offer the lesson, it will return the lesson link and a confirmation message to the user terminal.

[0630] Step 7:

[0631] Users click on the provided link when class time arrives.

[0632] Step 8:

[0633] The server initiates a lesson session, and the virtual instructor provides language instruction to the user.

[0634] Record and share study time

[0635] Step 1:

[0636] After the class ends, the server records the user's study time in a database.

[0637] Step 2:

[0638] The server stores the recorded study time as "study time sharing."

[0639] Totally free to maintain

[0640] Step 1:

[0641] The server manages the advertising space on the platform and records advertising fees as revenue.

[0642] Step 2:

[0643] The server manages recruitment agency fees for foreign language talent, donations from companies, and subsidies from the government.

[0644] Step 3:

[0645] The server pays operating expenses from the revenue and covers the operating costs of the platform.

[0646] Step 4:

[0647] The server maintains the system so that all users can take classes for free.

[0648] Example 1

[0649] 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."

[0650] Traditional language learning systems face challenges such as high costs, limited access to certain users, and dependency on specific instructors, resulting in educational disparities. They also lack real-time feedback, limiting learning outcomes. Furthermore, they lack the ability to share or reallocate learning time, creating a lack of a collaborative learning environment.

[0651] 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.

[0652] In this invention, the server includes a means for a user to access an account creation page and input the necessary information into a registration form and submit it, a means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database, and a means for recording the user's study time after the class ends and accumulating and sharing that study time. This allows all users to receive high-quality language education free of charge, receive real-time feedback, and reduce educational disparities.

[0653] "User" refers to an individual who uses the System to learn a language.

[0654] "Account Creation Page" means a web page that allows a User to register a new Account.

[0655] "Registration Form" means a web form that contains fields for a User to enter information required to create an Account.

[0656] "Server" refers to a computer system that stores information in a database and executes various processes.

[0657] "Database" refers to the storage system in which user information and virtual instructor profile information is stored.

[0658] "Virtual instructor" refers to an instructor character generated by a computer program, with a set personality, gender, region, etc.

[0659] "Profile" refers to detailed information about a Virtual Instructor, such as personality, gender, location, etc.

[0660] "Coursework" means the specific topic or subject that a User wishes to learn in a Session with a Virtual Instructor.

[0661] "Lesson Hour" means the date, time and duration designated by a User for a Session with a Virtual Instructor.

[0662] "Class session link" refers to the URL or access point required for a user to join a specific class.

[0663] "Study Time" refers to the time a User spends in class with a Virtual Instructor.

[0664] "Storage" refers to the process by which information stored in a database is added and accumulated.

[0665] "Sharing" means that specific information or resources are accessed and used by multiple users.

[0666] "Advertising Fees" refers to revenues earned from advertisements displayed on the System.

[0667] "Recruitment agency fees" refers to the fees earned when mediating the recruitment of foreign language personnel.

[0668] "Donations" refer to free financial contributions provided by companies or individuals.

[0669] "Subsidy" refers to funds provided by public agencies for the operation of the system.

[0670] "Feedback" refers to the evaluation or criticism provided by the virtual instructor in response to a user's comments or actions.

[0671] "Educational inequality" refers to disparities in educational quality and opportunities that arise due to regional or economic reasons.

[0672] "Study time sharing" refers to a system in which users share the time they spend studying with other users and redistribute it as a resource.

[0673] The present invention is a language learning system in which users create an account and choose from a selection of virtual instructors. The system's server handles all data processing, and users can access it freely at any time from their own devices. It is also provided completely free of charge and includes a "study time sharing" feature to reduce educational disparities. A specific embodiment of this system is described below.

[0674] First, a user accesses the platform's account creation page using a web browser. They enter their name, email address, password, and preferred language into the registration form and submit it. The device checks the entered information and sends the data to the server when the submit button is pressed. The server stores the received information in a database and sends a confirmation email to the user's email address if the account creation is successful.

[0675] The server uses a generative AI model to generate virtual instructors with different profiles, such as personality, gender, and region. A prompt sentence is input to the model to create an instructor profile. Each virtual instructor is also configured with educational content and response scripts, which are then stored in a database.

[0676] When a user logs in to the platform, they can access a screen where they can select their preferred virtual instructor. They then select their preferred instructor and specify the desired lesson content and lesson time. The device sends the selection to the server, which receives the information and confirms the schedule for the specified virtual instructor and time. If the schedule is successful, a link for the lesson session is generated and provided to the user.

[0677] Users click on the provided link to join the lesson session at the designated time. The device provides an interface that allows for real-time voice and text interaction. Meanwhile, the virtual instructor on the server analyzes the user's speech in real time and provides appropriate feedback, such as corrections to the user's pronunciation and grammar, or additional practice questions.

[0678] After the lesson ends, the server automatically records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities. The server uses this information to manage revenue and cover the system's operating costs. Specifically, this includes revenue from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, and subsidies from public institutions.

[0679] (Example)

[0680] Here's how a user named Tanaka creates an account, selects a friendly female virtual instructor from the United States, and takes a business English class from 7:00 PM to 8:00 PM.

[0681] 1. Tanaka accesses the account creation page and registers by entering his name "Taro Tanaka", email "tanaka@example.com", password "password123", and language of interest "English".

[0682] 2. The server saves Tanaka's information and completes the account creation.

[0683] 3. Tanaka logs into the platform, selects a friendly female virtual instructor, and selects the lesson as "Business English" and the lesson time as "7:00 PM to 8:00 PM."

[0684] 4. The server receives the request, generates a link to the class session, and provides it to Tanaka.

[0685] 5. John clicks the link to start the lesson, with the virtual instructor providing real-time guidance.

[0686] 6. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[0687] In this way, the system can provide high-quality language education by virtual instructors free of charge and reduce educational disparities.

[0688] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0689] Step 1:

[0690] Input: A user visits the account creation page and enters their name, email address, password, and language preferences.

[0691] Specific behavior:

[0692] User: Visits the platform's account creation page in a web browser and enters the required information.

[0693] Terminal: Checks the contents of the input form and sends the data to the server when the submit button is pressed.

[0694] Output: The input information is sent to the server.

[0695] Step 2:

[0696] Input: The submitted user information.

[0697] Specific behavior:

[0698] Server: Stores the received user information in a database. Sends a confirmation email to the user's email address confirming that the account was created successfully.

[0699] Output: Saves user information and sends a confirmation email.

[0700] Step 3:

[0701] Input: A prompt for the generative AI model.

[0702] Specific behavior:

[0703] Server: Uses a generative AI model to generate virtual instructors with different personalities, genders, and regions. Enter prompts into this model to create instructor profiles.

[0704] Output: Virtual instructor profile data is generated and stored in a database.

[0705] Step 4:

[0706] Input: Login information provided by the user.

[0707] Specific behavior:

[0708] User: Log in to the platform, select the desired virtual instructor, and specify the desired lesson content and lesson time.

[0709] Device: Sends the user's selection information to the server.

[0710] Output: The selected virtual instructor and lesson configuration information is sent to the server.

[0711] Step 5:

[0712] Input: Virtual instructor and class setup information.

[0713] Specific behavior:

[0714] Server: Based on the received information, it checks the schedule for the specified virtual instructor and time. If there are no problems, it generates a link for the class session and provides it to the user.

[0715] Output: A link to the lesson session is generated and provided to the user.

[0716] Step 6:

[0717] Input: The teaching session link provided.

[0718] Specific behavior:

[0719] User: Clicks on the provided link and joins the class session at the specified time.

[0720] Terminal: Provides an interface that allows real-time voice and text interaction.

[0721] Output: A teaching session begins in real time.

[0722] Step 7:

[0723] Input: What the user says and does.

[0724] Specific behavior:

[0725] Server: The virtual instructor analyzes the user's speech in real time and provides appropriate feedback, such as correcting the user's pronunciation and grammar, or suggesting additional practice questions.

[0726] Output: Real-time feedback on what the user says.

[0727] Step 8:

[0728] Input: Log data after the lesson ends.

[0729] Specific behavior:

[0730] Server: After the lesson ends, the user's study time is recorded in the database. Based on this information, the study time sharing data is updated.

[0731] Output: Updated data for recording and sharing study time.

[0732] Step 9:

[0733] Inputs: Advertisements displayed on the system, recruitment agency fees, donations, and grants.

[0734] Specific behavior:

[0735] Server: Manages revenue to cover the system's operating costs. It collects advertising fees, recruitment agency fees, corporate donations, and subsidies from public institutions, and distributes them efficiently.

[0736] Output: System operating costs are covered and tuition remains free.

[0737] (Application example 1)

[0738] 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."

[0739] In traditional brick-and-mortar shopping experiences, it is difficult to provide appropriate advice and information tailored to individual users' needs and preferences. Furthermore, language barriers and regional accessibility gaps can leave users dissatisfied with their shopping experience. Therefore, there is a need for a system that allows users to shop smoothly in-store and achieve satisfactory results.

[0740] 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.

[0741] In this invention, the server includes: a means for a user to access an account creation page and enter and submit the information required in the registration form; a means for the server to save the received information in a database and create an account; a means for generating a plurality of virtual assistants with different personalities, genders, and areas of expertise and saving their profiles in a database; a means for the user to select the desired virtual assistant, service content, and time and send the selection to the server; a means for the server to accept the user's request, confirm whether the request can be handled by a virtual assistant, and provide the user with a link to the service session; a means for the server to record the user's usage time after the service is completed and accumulate and share that usage time; and a means for the server to manage revenue such as advertising fees, recruitment agency fees, donations, and subsidies and cover the operating costs of the system. This enables users to receive high-quality assistance tailored to their individual needs even in physical stores, and also makes it possible to operate the system sustainably.

[0742] "User" means an individual or organization that accesses the System and uses the shopping experience or services.

[0743] An "account creation page" is a web page or application screen where a user can enter the required information to register with the system.

[0744] "Server" is a central computer that processes data for the entire system, manages user information, generates virtual assistants, and provides services.

[0745] "Database" means a data management system for the System to store User information, Virtual Assistant profiles, and other necessary data.

[0746] A "virtual assistant" is a virtual presence with different profiles based on personality, gender, and area of ​​expertise, that provides services and advice tailored to the user's individual needs.

[0747] "Service Content" refers to the specific information or advice that a user requests from a virtual assistant.

[0748] A "service session" is a series of interactions and information exchanges between a user and a virtual assistant over a specified period of time.

[0749] A "link" is a web address or a specific point within an application that a user uses to access a service session with a virtual assistant.

[0750] "Usage time" is the total amount of time a user spends using a service session with a virtual assistant or a function within the system.

[0751] "Advertising Fees" refers to revenue earned from advertisements displayed on the Platform.

[0752] "Recruitment agency fees" are fees received by the system when companies or individuals conduct job searches.

[0753] "Donations" are funds provided to support the operation of the System.

[0754] A "subsidy" is funding provided by a government or public agency to cover part of the operating costs of a system.

[0755] "Revenue" means monetary resources to support the operation of the system, including advertising fees, recruitment agency fees, donations, and grants.

[0756] The present invention provides a virtual shopping assistant system that allows users to have an effective shopping experience in a physical store.

[0757] Program processing

[0758] 1. Create a user account:

[0759] The user accesses the account creation page, enters the required information (name, email address, password, purpose of purchase, product categories they are interested in), and submits it. The server stores the received information in a database and creates a user account.

[0760] 2. Creating a Virtual Assistant:

[0761] The server generates multiple virtual assistants with different personalities, genders, and areas of expertise, and stores their profiles (personality, gender, area of ​​expertise, etc.) in a database.The virtual assistants have information and response scripts to provide product information and advice to users in real time.

[0762] 3. Select an assistant and start the service:

[0763] Users log in to their account and select the virtual assistant they want, the service they want (e.g., fashion advice for summer outdoors), and the time they want to use it. The selection is sent to the server, which accepts the request and checks whether the virtual assistant is available. If there are no issues, the server provides the user with a link to the service session.

[0764] 4. Performance of Services:

[0765] The user clicks on the provided link to start a service session at the specified time. The virtual assistant, a server-side program, analyzes the user's questions and comments in real time and provides appropriate feedback and advice, allowing the user to make an effective shopping experience.

[0766] 5. Recording usage time and managing system operating costs:

[0767] After the service ends, the server records the user's usage time in a database, and stores and shares that usage time. The server also manages revenues such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs.

[0768] Hardware and software used

[0769] Hardware:

[0770] Server: Amazon Web Services (AWS)

[0771] Client: Smartphone (iOS / Android), smart glasses (e.g., Google Glass), HMD (e.g., Oculus Quest)

[0772] software:

[0773] Database: MySQL

[0774] Server-side framework: Node.js

[0775] Client-side framework: React Native

[0776] Natural Language Processing (NLP): Google Cloud Natural Language API

[0777] Specific examples

[0778] For example, a user named Sato may create an account and select a fashionable female virtual assistant from Europe to receive advice on summer outdoor fashion.

[0779] 1. Sato accesses the account creation page and enters the required information to register.

[0780] 2. The server saves Mr. Sato's information and completes the account creation.

[0781] 3. Sato logs in to the application and selects the virtual assistant she wants and the service she wants (fashion advice for summer outdoor activities).

[0782] 4. The server receives the request and provides a service session link to Sato.

[0783] 5. Sato clicks the link to start the service, and the virtual assistant provides real-time advice.

[0784] Example prompts to input to a generative AI model:

[0785] plaintext

[0786] User: I'd like some advice on outdoor summer fashion.

[0787] Virtual Assistant: Thank you for your question! I'd like to recommend some lightweight, breathable clothing that's perfect for the outdoors. First, how about this casual shirt?

[0788] In this way, by providing a virtual shopping assistant system that supports the shopping experience in a physical store, users can receive high-quality advice tailored to their individual needs and preferences, and the system can be operated sustainably.

[0789] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0790] Step 1: User visits the account creation page

[0791] Input: A user visits the account creation page and fills in the required information in the form, such as their name, email address, password, purpose of purchase, and product categories of interest.

[0792] Data processing: Validating input information on the client side (React Native application)

[0793] Output: Successfully validated information is sent to the server

[0794] Step 2: The server saves the user information and creates an account

[0795] Input: User information sent by the client

[0796] Data processing: The server side (Node.js program) saves the received user information in the database (MySQL).

[0797] Output: The account creation is completed on the server side, and a message is sent to the user informing them of the account creation.

[0798] Step 3: Generate a Virtual Assistant

[0799] Input: The server receives the trigger to generate a virtual assistant

[0800] Data processing: The server generates multiple virtual assistants with different personalities, genders, and areas of expertise, and stores their profiles (personalities, genders, areas of expertise, etc.) in a database.

[0801] Output: Virtual assistant profile information stored in the database

[0802] Step 4: User selects assistant and service

[0803] Input: The user logs in to their account and selects the desired virtual assistant, service type, and time.

[0804] Data processing: Client side sends selections to server

[0805] Output: Selections are sent to the server

[0806] Step 5: The server accepts the request and provides a service session

[0807] Input: User request data

[0808] Data processing: The server analyzes the request, checks whether a virtual assistant is available, and generates a link for the service session.

[0809] Output: A service session link is provided to the user.

[0810] Step 6: Conduct a service session

[0811] Input: User clicks on the service session link to access the specified time

[0812] Data processing: The server-side virtual assistant analyzes the user's questions and statements in real time (using Google Cloud Natural Language API) and generates appropriate feedback and advice.

[0813] Output: Real-time feedback and advice to the user

[0814] Step 7: Record usage time and manage system operating costs

[0815] Input: User usage time after service session ends

[0816] Data processing: The server records usage time in a database. In addition, revenue from advertising fees, recruitment agency fees, donations, subsidies, etc. is tallied and the system's operating costs are managed.

[0817] Output: Usage time is accumulated in the database, and the management data for system operating costs is updated.

[0818] 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.

[0819] The present invention is a language learning system that allows users to create an account on the platform, select their preferred virtual instructor from multiple options with different personalities, genders, and regions, and specify the lesson content and time. The system's server handles all data processing, allowing users to access the system freely at any time from their own devices. The system is provided completely free of charge and also includes a "study time sharing" feature to reduce educational disparities. Furthermore, it incorporates an emotion engine that recognizes users' emotions, providing a more personalized learning experience.

[0820] Create a user account

[0821] 1. Create an account

[0822] A user accesses the platform and opens the account creation page, where they fill out the registration form with their name, email address, password, language preferences, etc.

[0823] The server receives the information, stores it in a database, and returns a message to the user indicating that the account has been created.

[0824] Virtual lecturer generation

[0825] 2. Instructor Generation

[0826] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings. It creates profile data (personality, gender, region, etc.) for each virtual instructor and stores it in a database.

[0827] Each virtual instructor is configured with educational content, response scripts, and an emotional engine.

[0828] Incorporating an emotion engine

[0829] 3. Emotion recognition

[0830] The server analyzes the user's comments and actions in real time and recognizes the user's emotional state through an emotion engine.

[0831] The emotion engine analyzes emotions (e.g., joy, interest, anxiety, fatigue) based on the user's text, voice, or video.

[0832] 4. Emotion-Based Response Modulation

[0833] The server receives the analysis results from the emotion engine and adjusts the virtual instructor's response appropriately. For example, if the user is feeling anxious, the virtual instructor will provide encouragement and support.

[0834] 5. Personalized learning experience

[0835] The server learns the user's emotional data and creates an individual emotional profile, which allows the virtual instructor to provide more personalized lessons.

[0836] Selecting a teacher and starting classes

[0837] 6. Select a teacher and request a lesson

[0838] Users log in to the platform and select the desired virtual instructor, lesson content, and lesson time.

[0839] The server receives the selection, verifies the schedule with the specified virtual instructor, and, if successful, provides the user with a link to the class session.

[0840] 7. Classes

[0841] The user clicks on the provided link to begin the class session at the specified time.

[0842] The virtual teacher, a server-side program, analyzes users' comments in real time and provides appropriate feedback using an emotion engine, helping users to learn languages ​​more effectively.

[0843] Record and share study time

[0844] 8. Record your study time

[0845] After class, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities.

[0846] Totally free to maintain

[0847] 9. Revenue Management

[0848] The server manages advertising fees from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, subsidies from the government, etc. These revenues cover the operating costs of the system.

[0849] Specific examples

[0850] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[0851] 1. Tanaka accesses the account creation page and enters the required information to register.

[0852] 2. The server saves Tanaka's information and completes the account creation.

[0853] 3. Tanaka logs in to the platform and selects the virtual instructor, lesson content, and time of the lesson.

[0854] 4. The server receives the request and provides Tanaka with a link to the class session.

[0855] 5. John clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[0856] 6. The virtual instructor uses the emotion engine to recognize Tanaka's emotions and adjust the response accordingly. For example, if Tanaka is nervous during class, the virtual instructor will provide advice on how to relax.

[0857] 7. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[0858] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[0859] The processing flow will be explained below.

[0860] Create a user account

[0861] Step 1:

[0862] A user visits the platform and opens the account creation page.

[0863] Step 2:

[0864] A user fills out a registration form with information such as name, email address, password, and language preferences.

[0865] Step 3:

[0866] The user's device checks the input and verifies that there are no input errors or blank spaces.

[0867] Step 4:

[0868] The user clicks the "Register" button and sends the entered information to the server.

[0869] Step 5:

[0870] The server stores the received information in a database and creates an account.

[0871] Step 6:

[0872] The server sends a notification to the user terminal that the account creation has been completed.

[0873] Virtual lecturer generation

[0874] Step 1:

[0875] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings.

[0876] Step 2:

[0877] The server creates profile data (personality, gender, region, etc.) for each virtual teacher and stores it in a database.

[0878] Step 3:

[0879] The server generates the virtual instructor's natural language processing and response scripts and loads the necessary AI models.

[0880] Incorporating an emotion engine

[0881] Step 1:

[0882] The server implements an emotion engine to analyze users' comments and actions in real time.

[0883] Step 2:

[0884] The emotion engine analyzes the user's text, voice, or video data to recognize emotions such as joy, interest, anxiety, and fatigue.

[0885] Step 3:

[0886] The server receives the analysis results from the emotion engine and adjusts the virtual instructor's responses appropriately.

[0887] Selecting a teacher and starting classes

[0888] Step 1:

[0889] The user logs in to the platform and opens the instructor selection page.

[0890] Step 2:

[0891] Displays a list of virtual instructors stored on the server.

[0892] Step 3:

[0893] The user selects the desired virtual instructor and enters the lesson content (e.g., Business English) and lesson time (e.g., 19:00-20:00).

[0894] Step 4:

[0895] The user device sends the selections and inputs to the server.

[0896] Step 5:

[0897] The server receives the request and checks whether the specified virtual instructor is available.

[0898] Step 6:

[0899] If the server is able to offer the lesson, it will return the lesson link and a confirmation message to the user's device.

[0900] Step 7:

[0901] Users click on the provided link when class time arrives.

[0902] Step 8:

[0903] The server initiates a lesson session, and the virtual instructor provides language instruction to the user.

[0904] Step 9:

[0905] The virtual instructor uses an emotion engine to recognize the user's emotions and adjust the response accordingly.

[0906] Record and share study time

[0907] Step 1:

[0908] After the class ends, the server records the user's study time in a database.

[0909] Step 2:

[0910] The server stores the recorded study time as "study time sharing."

[0911] Totally free to maintain

[0912] Step 1:

[0913] The server manages the advertising space on the platform and records advertising fees as revenue.

[0914] Step 2:

[0915] The server manages recruitment agency fees for foreign language talent, donations from companies, and subsidies from the government.

[0916] Step 3:

[0917] The server pays operating expenses from the revenue and covers the operating costs of the platform.

[0918] Step 4:

[0919] The server maintains the system so that all users can take classes for free.

[0920] Specific examples

[0921] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[0922] Step 1:

[0923] Tanaka accesses the account creation page, enters the required information, and registers.

[0924] Step 2:

[0925] The server saves Tanaka's information and completes the account creation.

[0926] Step 3:

[0927] Tanaka logs into the platform and selects the virtual instructor he wants, the lesson content, and the time.

[0928] Step 4:

[0929] The server receives the request and provides Tanaka with a link to the class session.

[0930] Step 5:

[0931] Tanaka clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[0932] Step 6:

[0933] The virtual instructor uses an emotion engine to recognize Tanaka's emotions and adjust the response accordingly. For example, if Tanaka is nervous during class, the virtual instructor will offer advice on how to relax.

[0934] Step 7:

[0935] After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[0936] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[0937] Example 2

[0938] 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."

[0939] In today's education system, it is difficult for users to receive a learning experience that meets their individual needs, especially when it comes to providing personalized education that takes into account their emotional state. It is also challenging to eliminate educational disparities and provide free, high-quality educational resources to all users. In addition, efficient methods are needed to manage diverse revenue streams and cover system operating costs.

[0940] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0941] In this invention, the server includes: means for a user to access an account creation page and enter and submit the information required in the registration form; means for the server to save the received information in a database and create an account; means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database; means for a user to select a desired virtual instructor, lesson content, and time and send the selection to the server; means for the server to accept the user's request, confirm whether the virtual instructor is available, and provide the user with a link to the lesson session; means for the server to analyze the user's emotional state in real time using an emotion engine and adjust a response based on the emotion; means for the server to record the user's study time after the lesson ends and accumulate and share the study time; and means for the server to manage revenue such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs. This allows users to receive personalized, high-quality educational resources free of charge, which can also contribute to eliminating educational disparities.

[0942] "User" refers to an individual who accesses the System, creates an account, selects a Virtual Instructor, and takes a class.

[0943] "Account Creation Page" means a web page where a User enters and submits information such as their name, email address, password, and language preferences.

[0944] "Server" refers to a computer system that receives information sent by users, stores it in a database, creates accounts, generates virtual instructors, uses an emotion engine, records learning time, manages revenue, etc.

[0945] "Database" refers to a data structure designed to efficiently store, manage, and retrieve information.

[0946] A "virtual instructor" refers to a computer-generated teaching assistant with different profiles based on personality, gender, and region, and is configured to link with the teaching content, response scripts, and emotion engine.

[0947] An "emotion engine" refers to an analysis system that analyzes a user's statements and actions in real time, recognizes their emotional state, and provides appropriate feedback.

[0948] "Classroom Session" refers to an educational activity that a User engages in with a Virtual Instructor at a specific time.

[0949] "Study time sharing" refers to a system that reallocates users' recorded study time in order to reduce educational disparities.

[0950] "Revenue" refers to monetary income used to cover the system's operating costs, such as advertising fees, recruitment agency fees, donations, and subsidies.

[0951] "Personalized education" refers to providing an educational experience that is optimized according to the user's individual needs and emotional state.

[0952] The present invention is a system that allows users to create an account on the platform, select a desired instructor from multiple virtual instructors with different personalities, genders, and regions, and specify the lesson content and lesson time to begin language learning. The detailed implementation method is described below.

[0953] First, the user accesses the platform using their device and opens the account creation page. The user enters information such as name, email address, password, and language preferences into the registration form and submits it. This information is received by the server and stored in a database. The server then sends a message back to the user indicating that the account creation has been completed.

[0954] Next, the server generates multiple virtual instructors with different personalities, genders, and regions. These virtual instructors have profile data (personality, gender, region, etc.), and each data is stored in a database. Each virtual instructor is also configured with educational content, response scripts, and settings for linking with an emotion engine. The emotion engine is a system that analyzes the user's comments and actions in real time and recognizes the user's emotional state.

[0955] When a user logs in to the platform and selects the desired virtual instructor, lesson content, and lesson time, the server receives the selection, checks the schedule for the specified virtual instructor and time, and if there are no problems, provides the user with a link to the lesson session.

[0956] When a user clicks the provided link to begin the lesson, the virtual instructor, a server-side program, analyzes the user's comments in real time. The emotion engine is then utilized to provide appropriate feedback based on the user's emotional state. For example, if the user is feeling anxious, the virtual instructor will offer encouragement and support.

[0957] After the lesson ends, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities.

[0958] In addition, the server manages revenues from advertising fees, recruitment agency fees, donations, subsidies, etc. to cover the system's operating costs, allowing the platform to be provided completely free of charge and contributing to the elimination of educational disparities.

[0959] As a concrete example, consider the case where a user named Tanaka creates an account, selects a friendly female virtual tutor from the United States, and takes a business English class from 7:00 PM to 8:00 PM. Tanaka first accesses the account creation page and registers by entering the required information. He then logs into the platform and selects the desired virtual tutor, lesson content, and time. The server receives the request and provides Tanaka with a link to the lesson session. When Tanaka clicks the link to start the lesson, the virtual tutor provides instruction in real time and uses an emotion engine to recognize Tanaka's emotions and provide feedback. After the lesson ends, the server records Tanaka's study time and accumulates it as "study time sharing."

[0960] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[0961] An example of a prompt sentence might be:

[0962] Example prompt:

[0963] Describe in detail each step your server takes when Tanaka creates an account, and what happens when Tanaka selects a friendly female virtual teacher from the United States to take a business English class.

[0964] In this way, this system provides highly personalized educational services according to the needs of users, and also contributes to eliminating educational disparities.

[0965] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0966] Step 1:

[0967] A user accesses the platform using a device and opens the account creation page. The user enters their name, email address, password, language preferences, etc. into the registration form. The entered information is sent to the server by pressing the submit button on the form. Input data: name, email address, password, language preferences. Output data: user information sent to the server.

[0968] Step 2:

[0969] The server stores the received user information in a database. If the storage is successful, it generates a confirmation message indicating that the account creation has been completed and sends it back to the user's device. Input data: User information. Output data: User information stored in the database, confirmation message.

[0970] Step 3:

[0971] The server generates multiple virtual instructors with different personalities, genders, and regions. For each virtual instructor, profile data (personality, gender, region, etc.) is created and saved in a database. Educational content and response scripts are also added to the virtual instructors, and linkage with the emotion engine is configured. Input data: Virtual instructor generation parameters (personality, gender, region, etc.). Output data: Virtual instructor profile saved in the database.

[0972] Step 4:

[0973] The user logs in to the platform from their device and selects the desired virtual instructor, lesson content, and lesson time. The selection is sent to the server. Input data: User-selected virtual instructor, lesson content, and lesson time. Output data: Selection sent to the server.

[0974] Step 5:

[0975] The server receives the user's selection and checks the schedule for the specified virtual instructor and time. If there are no problems with the schedule, it generates a link for the lesson session and provides it to the user. Input data: User's selection. Output data: Lesson session link.

[0976] Step 6:

[0977] The user clicks on the provided link to start the teaching session. The virtual instructor, a server-side program, analyzes the user's utterances in real time. Input data: User's link click, user's utterances. Output data: User's utterances analyzed in real time.

[0978] Step 7:

[0979] The server uses an emotion engine to analyze the user's emotional state in real time. Based on the results, the virtual instructor provides appropriate feedback. Input data: User's utterances and actions. Output data: User's emotional state, adjusted feedback.

[0980] Step 8:

[0981] After the lesson ends, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing." Input data: End time of the lesson session. Output data: The user's study time recorded in the database.

[0982] Step 9:

[0983] The server manages revenues such as advertising fees from advertisements displayed on the platform, recruitment agency fees, donations, and subsidies. These revenues are used to cover the operating costs of the system. Input data: advertising fees, recruitment agency fees, donations, and subsidies. Output data: managed revenues, operating costs.

[0984] (Application example 2)

[0985] 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."

[0986] While the demand for language learning is increasing in modern society, there is a lack of means to provide personalized learning experiences tailored to the needs of individual learners. Furthermore, the issue of educational inequality persists, with many learners unable to access education due to financial constraints. Therefore, there is a need to provide high-quality education equitably to all learners. Furthermore, there is a need for systems that can respond flexibly to learners' emotional states, but existing systems are not able to adequately adapt to such needs.

[0987] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0988] In this invention, the server includes: a means for a user to access an account creation page and enter and submit the required information in a registration form; a means for the server to save the received information in a database and create an account; a means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database; a means for a user to select a desired virtual instructor, lesson content, and time and send the selection to the server; a means for the server to accept the user's request, confirm whether a virtual instructor is available, and provide the user with a link to the lesson session; a means for the server to record the user's study time after the lesson ends and accumulate and share the study time; a means for the server to manage revenue such as advertising fees, recruitment fees, donations, and subsidies and cover system operating costs; a means for the server to analyze the user's comments using an emotion recognition engine and identify the user's emotional state in real time; a means for adjusting the virtual instructor's responses based on the identified emotional state; and a means for installing an application on a smartphone, smart glasses, or head-mounted display to provide a personalized learning experience. This enables highly personalized education to all learners, flexible responses according to emotional states, and reduces educational disparities and provides equal learning opportunities.

[0989] "User" means an individual learner or registrant who uses the System to study a language.

[0990] An "account creation page" is a web page or interface through which a user may enter the necessary information to register.

[0991] "Registration Form" means an online form where a User may enter information such as name, email address, password, and language preferences to create an Account.

[0992] A "server" is a computer system or network that receives and processes user requests.

[0993] "Database" refers to a system for storing data such as received information, virtual instructor profiles, and user study time.

[0994] A "virtual teacher" is a computer program or AI that has multiple teacher profiles with different personalities, genders, and regions and gives lessons to users.

[0995] The "profile" is attribute information about the virtual instructor, such as personality, gender, region, educational content, and response script.

[0996] A "class session" is an online learning period during which a user and a virtual instructor interact to advance learning content.

[0997] An "emotion recognition engine" is software or algorithm that analyzes what a user says and identifies their emotional state in real time.

[0998] A "personalized learning experience" is learning content and feedback that is tailored to a user's individual needs and emotional state.

[0999] A "smartphone" is a mobile phone that has the ability to connect to the Internet and install applications.

[1000] "Smart glasses" are glasses-type devices that have display functions for displaying information and interacting with the wearer.

[1001] A "head-mounted display" is a headset-type display device that displays information in the user's field of vision.

[1002] The system for implementing this invention begins when a user accesses an account creation page, enters the required information in the registration form, and submits it. The server saves the received information in a database and creates an account. This process uses Flask as the web application framework and SQLite or another RDBMS as the database.

[1003] The server generates multiple virtual instructors with different personalities, genders, and regions, and stores their profiles in a database. The virtual instructors are built as AI models, and are configured with educational content, response scripts, and an emotion recognition engine. Users select their desired virtual instructor, lesson content, and time based on their learning needs, and send their selection to the server. The server accepts the user's request, checks whether a virtual instructor is available, and provides the user with a link to the lesson session.

[1004] During the lesson session, the user's speech is analyzed by an emotion recognition engine to identify their emotional state in real time. Apache OpenNLP and Google Cloud Natural Language API are used for the emotion recognition engine. The server then adjusts the virtual instructor's responses based on the user's emotional state, providing a personalized learning experience for the user. Users access the application through their smartphone, smart glasses, or head-mounted display and participate in the learning session. The application functions as a web application built on Flask and is installed on the device.

[1005] After the class ends, the server records the user's study time, and stores and shares that time. The server also redistributes the user's study time as a "study time share" to reduce educational disparities. Furthermore, the server manages revenues from advertising fees, recruitment agency fees, donations, subsidies, etc. to cover the system's operating costs.

[1006] A specific example of this is the following operation: A user accesses an account creation page, enters information such as their name, email address, and language of interest, and then submits it. The server stores the received information in a database and creates an account. The user then selects the desired virtual instructor, lesson content, and lesson time, and sends this information to the server. The server receives the request and provides the user with a link to the lesson session. When the user clicks the link to begin the lesson, the virtual instructor provides instruction in real time and analyzes the user's emotional state using an emotion recognition engine. For example, if a user says, "I am feeling a bit nervous about this lesson," the emotion recognition engine identifies the emotion as "nervous," and the virtual instructor adjusts its response. After the lesson ends, the server records the user's study time and redistributes it as "study time sharing." This makes it possible to provide highly personalized education to all learners and flexibly respond to their emotional states.

[1007] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1008] Step 1:

[1009] A user visits the account creation page, fills in the registration form with information such as their name, email address, password, and language preferences, and submits it.

[1010] Specifically, the user enters the necessary information using a browser or application and presses the "Submit" button.

[1011] Input: Name, Email Address, Password, Language Interest

[1012] Output: Account creation request

[1013] Step 2:

[1014] The server stores the received information in its database, creates the account, and returns a message to the user confirming registration.

[1015] Specifically, the server uses Flask to receive POST requests, save the user information to the database, and then display a message to the user confirming that their account has been created.

[1016] Input: Account creation request (name, email address, password, language preferences)

[1017] Output: Account creation complete message

[1018] Step 3:

[1019] The server generates a plurality of virtual instructors with different personalities, genders, and regions, and stores their profiles in a database.

[1020] Specifically, the server uses the AI ​​model to generate virtual instructors and stores their profile data in a database. Each virtual instructor is configured with educational content, response scripts, and an emotion engine.

[1021] Input: Virtual instructor creation request

[1022] Output: Virtual instructor profile data

[1023] Step 4:

[1024] The user selects the desired virtual instructor, lesson content, and time, and transmits the selection to the server.

[1025] Specifically, the user selects the desired instructor from a list of virtual instructors within the application, specifies the lesson content and date and time, and presses the "Send Request" button.

[1026] Input: Selected virtual instructor, lesson content, lesson time

[1027] Output: Lesson request

[1028] Step 5:

[1029] The server accepts the user's request, checks availability with the virtual instructor, and provides the user with a link to the class session.

[1030] Specifically, the server checks the virtual instructor's schedule from the database, and if there are no problems, it generates a link to the lesson session and provides it to the user.

[1031] Input: Lesson request

[1032] Output: Link to class session

[1033] Step 6:

[1034] During a class session, the server analyzes what the user says using an emotion recognition engine to identify the user's emotional state in real time.

[1035] Specifically, the server uses Apache OpenNLP and Google Cloud Natural Language API to perform text analysis of the user's speech and identify their emotional state.

[1036] Input: What the user says

[1037] Output: User's emotional state

[1038] Step 7:

[1039] The server adjusts the virtual instructor's responses based on the identified emotional state to provide personalized feedback.

[1040] Specifically, the server selects a response script according to the emotional state, and the virtual instructor provides appropriate feedback.

[1041] Input: User's emotional state

[1042] Output: Personalized feedback

[1043] Step 8:

[1044] After class ends, the server records the user's study time, stores that study time in a database, and shares it.

[1045] Specifically, the server calculates the study time after the lesson ends and stores it in a database.

[1046] Input: End time of class

[1047] Output: Recorded study time

[1048] Step 9:

[1049] In order to reduce educational disparities, the server reallocates the study time used by users as "study time sharing."

[1050] As a specific operation, the server reallocates the recorded learning time and provides learning opportunities to new users.

[1051] Input: Recorded study time

[1052] Output: Reallocation by "study time sharing"

[1053] Step 10:

[1054] The server manages revenue from advertising fees, recruitment agency fees, donations, subsidies, etc., and covers the system's operating costs.

[1055] Specifically, the server records the revenue information in a database and uses it as system operating costs.

[1056] Input: Advertising fees, recruitment agency fees, donations, and subsidy data

[1057] Output: System operating cost management

[1058] 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.

[1059] 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.

[1060] 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.

[1061] [Third embodiment]

[1062] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1063] 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.

[1064] 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).

[1065] 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.

[1066] 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.

[1067] 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).

[1068] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1069] 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.

[1070] 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.

[1071] 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.

[1072] 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.

[1073] 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."

[1074] The present invention is a language learning system that allows users to create an account on the platform, select their preferred virtual instructor from multiple options that vary in personality, gender, and location, and specify the lesson content and time. The system's server handles all data processing, and users can access the system freely at any time from their own devices. The system is provided completely free of charge and also includes a "study time sharing" feature to reduce educational disparities.

[1075] Create a user account

[1076] 1. Create an account

[1077] A user accesses the platform and opens the account creation page, where they fill out the registration form with their name, email address, password, language preferences, etc.

[1078] The server receives the information, stores it in a database, and returns a message to the user indicating that the account creation is complete.

[1079] Virtual lecturer generation

[1080] 2. Instructor Generation

[1081] The server generates multiple virtual instructors with different personalities, genders, and regions, which includes storing each instructor's profile (personality, gender, region, etc.) in a database.

[1082] Each virtual instructor is also set with information such as educational content and response scripts.

[1083] Selecting a teacher and starting classes

[1084] 3. Select a teacher and request a lesson

[1085] Users log in to the platform and select the desired virtual instructor, lesson content, and lesson time.

[1086] The server receives the selection, verifies the schedule with the specified virtual instructor, and, if successful, provides the user with a link to the class session.

[1087] 4. Class implementation

[1088] The user clicks on the provided link to begin the class session at the specified time.

[1089] The virtual teacher, a server-side program, analyzes users' comments in real time and provides appropriate feedback, helping users to learn languages ​​more effectively.

[1090] Record and share study time

[1091] 5. Record your study time

[1092] After the lesson ends, the server records the user's study time in a database.

[1093] The recorded study time will be accumulated as "study time sharing" and used to reduce educational disparities.

[1094] Totally free to maintain

[1095] 6. Revenue Management

[1096] The server manages advertising fees from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, subsidies from the government, etc. These revenues cover the operating costs of the system.

[1097] This means that all users can take classes completely free of charge.

[1098] Specific examples

[1099] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[1100] 1. Tanaka accesses the account creation page and enters the required information to register.

[1101] 2. The server saves Tanaka's information and completes the account creation.

[1102] 3. Tanaka logs in to the platform and selects the virtual instructor, lesson content, and time of the lesson.

[1103] 4. The server receives the request and provides Tanaka with a link to the class session.

[1104] 5. John clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[1105] 6. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[1106] In this way, this system provides high-quality language education by virtual instructors free of charge and has the function of reducing educational disparities.

[1107] The processing flow will be explained below.

[1108] Create a user account

[1109] Step 1:

[1110] A user visits the platform and opens the account creation page.

[1111] Step 2:

[1112] A user fills out a registration form with information such as name, email address, password, and language preferences.

[1113] Step 3:

[1114] The user terminal checks the input content and verifies that there are no input errors or blank spaces.

[1115] Step 4:

[1116] The user clicks the "Register" button and sends the entered information to the server.

[1117] Step 5:

[1118] The server stores the received information in a database and creates an account.

[1119] Step 6:

[1120] The server sends a notification to the user terminal that the account creation has been completed.

[1121] Virtual lecturer generation

[1122] Step 1:

[1123] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings.

[1124] Step 2:

[1125] The server creates profile data (personality, gender, region, etc.) for each virtual teacher and stores it in a database.

[1126] Step 3:

[1127] The server generates the virtual instructor's natural language processing and response scripts and loads the necessary AI models.

[1128] Selecting a teacher and starting classes

[1129] Step 1:

[1130] The user logs in to the platform and opens the instructor selection page.

[1131] Step 2:

[1132] Displays a list of virtual instructors stored on the server.

[1133] Step 3:

[1134] The user selects the desired virtual instructor and enters the lesson content (e.g., Business English) and lesson time (e.g., 19:00-20:00).

[1135] Step 4:

[1136] The user terminal transmits the selection and input to the server.

[1137] Step 5:

[1138] The server receives the request and checks whether the specified virtual instructor is available.

[1139] Step 6:

[1140] If the server is able to offer the lesson, it will return the lesson link and a confirmation message to the user terminal.

[1141] Step 7:

[1142] Users click on the provided link when class time arrives.

[1143] Step 8:

[1144] The server initiates a lesson session, and the virtual instructor provides language instruction to the user.

[1145] Record and share study time

[1146] Step 1:

[1147] After the class ends, the server records the user's study time in a database.

[1148] Step 2:

[1149] The server stores the recorded study time as "study time sharing."

[1150] Totally free to maintain

[1151] Step 1:

[1152] The server manages the advertising space on the platform and records advertising fees as revenue.

[1153] Step 2:

[1154] The server manages recruitment agency fees for foreign language talent, donations from companies, and subsidies from the government.

[1155] Step 3:

[1156] The server pays operating expenses from the revenue and covers the operating costs of the platform.

[1157] Step 4:

[1158] The server maintains the system so that all users can take classes for free.

[1159] Example 1

[1160] 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."

[1161] Traditional language learning systems face challenges such as high costs, limited access to certain users, and dependency on specific instructors, resulting in educational disparities. They also lack real-time feedback, limiting learning outcomes. Furthermore, they lack the ability to share or reallocate learning time, creating a lack of a collaborative learning environment.

[1162] 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.

[1163] In this invention, the server includes a means for a user to access an account creation page and input the necessary information into a registration form and submit it, a means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database, and a means for recording the user's study time after the class ends and accumulating and sharing that study time. This allows all users to receive high-quality language education free of charge, receive real-time feedback, and reduce educational disparities.

[1164] "User" refers to an individual who uses the System to learn a language.

[1165] "Account Creation Page" means a web page that allows a User to register a new Account.

[1166] "Registration Form" means a web form that contains fields for a User to enter information required to create an Account.

[1167] "Server" refers to a computer system that stores information in a database and executes various processes.

[1168] "Database" refers to the storage system in which user information and virtual instructor profile information is stored.

[1169] "Virtual instructor" refers to an instructor character generated by a computer program, with a set personality, gender, region, etc.

[1170] "Profile" refers to detailed information about a Virtual Instructor, such as personality, gender, location, etc.

[1171] "Coursework" means the specific topic or subject that a User wishes to learn in a Session with a Virtual Instructor.

[1172] "Lesson Hour" means the date, time and duration designated by a User for a Session with a Virtual Instructor.

[1173] "Class session link" refers to the URL or access point required for a user to join a specific class.

[1174] "Study Time" refers to the time a User spends in class with a Virtual Instructor.

[1175] "Storage" refers to the process by which information stored in a database is added and accumulated.

[1176] "Sharing" means that specific information or resources are accessed and used by multiple users.

[1177] "Advertising Fees" refers to revenues earned from advertisements displayed on the System.

[1178] "Recruitment agency fees" refers to the fees earned when mediating the recruitment of foreign language personnel.

[1179] "Donations" refer to free financial contributions provided by companies or individuals.

[1180] "Subsidy" refers to funds provided by public agencies for the operation of the system.

[1181] "Feedback" refers to the evaluation or criticism provided by the virtual instructor in response to a user's comments or actions.

[1182] "Educational inequality" refers to disparities in educational quality and opportunities that arise due to regional or economic reasons.

[1183] "Study time sharing" refers to a system in which users share the time they spend studying with other users and redistribute it as a resource.

[1184] The present invention is a language learning system in which users create an account and choose from a selection of virtual instructors. The system's server handles all data processing, and users can access it freely at any time from their own devices. It is also provided completely free of charge and includes a "study time sharing" feature to reduce educational disparities. A specific embodiment of this system is described below.

[1185] First, a user accesses the platform's account creation page using a web browser. They enter their name, email address, password, and preferred language into the registration form and submit it. The device checks the entered information and sends the data to the server when the submit button is pressed. The server stores the received information in a database and sends a confirmation email to the user's email address if the account creation is successful.

[1186] The server uses a generative AI model to generate virtual instructors with different profiles, such as personality, gender, and region. A prompt sentence is input to the model to create an instructor profile. Each virtual instructor is also configured with educational content and response scripts, which are then stored in a database.

[1187] When a user logs in to the platform, they can access a screen where they can select their preferred virtual instructor. They then select their preferred instructor and specify the desired lesson content and lesson time. The device sends the selection to the server, which receives the information and confirms the schedule for the specified virtual instructor and time. If the schedule is successful, a link for the lesson session is generated and provided to the user.

[1188] Users click on the provided link to join the lesson session at the designated time. The device provides an interface that allows for real-time voice and text interaction. Meanwhile, the virtual instructor on the server analyzes the user's speech in real time and provides appropriate feedback, such as corrections to the user's pronunciation and grammar, or additional practice questions.

[1189] After the lesson ends, the server automatically records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities. The server uses this information to manage revenue and cover the system's operating costs. Specifically, this includes revenue from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, and subsidies from public institutions.

[1190] (Example)

[1191] Here's how a user named Tanaka creates an account, selects a friendly female virtual instructor from the United States, and takes a business English class from 7:00 PM to 8:00 PM.

[1192] 1. Tanaka accesses the account creation page and registers by entering his name "Taro Tanaka", email "tanaka@example.com", password "password123", and language of interest "English".

[1193] 2. The server saves Tanaka's information and completes the account creation.

[1194] 3. Tanaka logs into the platform, selects a friendly female virtual instructor, and selects the lesson as "Business English" and the lesson time as "7:00 PM to 8:00 PM."

[1195] 4. The server receives the request, generates a link to the class session, and provides it to Tanaka.

[1196] 5. John clicks the link to start the lesson, with the virtual instructor providing real-time guidance.

[1197] 6. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[1198] In this way, the system can provide high-quality language education by virtual instructors free of charge and reduce educational disparities.

[1199] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1200] Step 1:

[1201] Input: A user visits the account creation page and enters their name, email address, password, and language preferences.

[1202] Specific behavior:

[1203] User: Visits the platform's account creation page in a web browser and enters the required information.

[1204] Terminal: Checks the contents of the input form and sends the data to the server when the submit button is pressed.

[1205] Output: The input information is sent to the server.

[1206] Step 2:

[1207] Input: The submitted user information.

[1208] Specific behavior:

[1209] Server: Stores the received user information in a database. Sends a confirmation email to the user's email address confirming that the account was created successfully.

[1210] Output: Saves user information and sends a confirmation email.

[1211] Step 3:

[1212] Input: A prompt for the generative AI model.

[1213] Specific behavior:

[1214] Server: Uses a generative AI model to generate virtual instructors with different personalities, genders, and regions. Enter prompts into this model to create instructor profiles.

[1215] Output: Virtual instructor profile data is generated and stored in a database.

[1216] Step 4:

[1217] Input: Login information provided by the user.

[1218] Specific behavior:

[1219] User: Log in to the platform, select the desired virtual instructor, and specify the desired lesson content and lesson time.

[1220] Device: Sends the user's selection information to the server.

[1221] Output: The selected virtual instructor and lesson configuration information is sent to the server.

[1222] Step 5:

[1223] Input: Virtual instructor and class setup information.

[1224] Specific behavior:

[1225] Server: Based on the received information, it checks the schedule for the specified virtual instructor and time. If there are no problems, it generates a link for the class session and provides it to the user.

[1226] Output: A link to the lesson session is generated and provided to the user.

[1227] Step 6:

[1228] Input: The teaching session link provided.

[1229] Specific behavior:

[1230] User: Clicks on the provided link and joins the class session at the specified time.

[1231] Terminal: Provides an interface that allows real-time voice and text interaction.

[1232] Output: A teaching session begins in real time.

[1233] Step 7:

[1234] Input: What the user says and does.

[1235] Specific behavior:

[1236] Server: The virtual instructor analyzes the user's speech in real time and provides appropriate feedback, such as correcting the user's pronunciation and grammar, or suggesting additional practice questions.

[1237] Output: Real-time feedback on what the user says.

[1238] Step 8:

[1239] Input: Log data after the lesson ends.

[1240] Specific behavior:

[1241] Server: After the lesson ends, the user's study time is recorded in the database. Based on this information, the study time sharing data is updated.

[1242] Output: Updated data for recording and sharing study time.

[1243] Step 9:

[1244] Inputs: Advertisements displayed on the system, recruitment agency fees, donations, and grants.

[1245] Specific behavior:

[1246] Server: Manages revenue to cover the system's operating costs. It collects advertising fees, recruitment agency fees, corporate donations, and subsidies from public institutions, and distributes them efficiently.

[1247] Output: System operating costs are covered and tuition remains free.

[1248] (Application example 1)

[1249] 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."

[1250] In traditional brick-and-mortar shopping experiences, it is difficult to provide appropriate advice and information tailored to individual users' needs and preferences. Furthermore, language barriers and regional accessibility gaps can leave users dissatisfied with their shopping experience. Therefore, there is a need for a system that allows users to shop smoothly in-store and achieve satisfactory results.

[1251] 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.

[1252] In this invention, the server includes: a means for a user to access an account creation page and enter and submit the information required in the registration form; a means for the server to save the received information in a database and create an account; a means for generating a plurality of virtual assistants with different personalities, genders, and areas of expertise and saving their profiles in a database; a means for the user to select the desired virtual assistant, service content, and time and send the selection to the server; a means for the server to accept the user's request, confirm whether the request can be handled by a virtual assistant, and provide the user with a link to the service session; a means for the server to record the user's usage time after the service is completed and accumulate and share that usage time; and a means for the server to manage revenue such as advertising fees, recruitment agency fees, donations, and subsidies and cover the operating costs of the system. This enables users to receive high-quality assistance tailored to their individual needs even in physical stores, and also makes it possible to operate the system sustainably.

[1253] "User" means an individual or organization that accesses the System and uses the shopping experience or services.

[1254] An "account creation page" is a web page or application screen where a user can enter the required information to register with the system.

[1255] "Server" is a central computer that processes data for the entire system, manages user information, generates virtual assistants, and provides services.

[1256] "Database" means a data management system for the System to store User information, Virtual Assistant profiles, and other necessary data.

[1257] A "virtual assistant" is a virtual presence with different profiles based on personality, gender, and area of ​​expertise, that provides services and advice tailored to the user's individual needs.

[1258] "Service Content" refers to the specific information or advice that a user requests from a virtual assistant.

[1259] A "service session" is a series of interactions and information exchanges between a user and a virtual assistant over a specified period of time.

[1260] A "link" is a web address or a specific point within an application that a user uses to access a service session with a virtual assistant.

[1261] "Usage time" is the total amount of time a user spends using a service session with a virtual assistant or a function within the system.

[1262] "Advertising Fees" refers to revenue earned from advertisements displayed on the Platform.

[1263] "Recruitment agency fees" are fees received by the system when companies or individuals conduct job searches.

[1264] "Donations" are funds provided to support the operation of the System.

[1265] A "subsidy" is funding provided by a government or public agency to cover part of the operating costs of a system.

[1266] "Revenue" means monetary resources to support the operation of the system, including advertising fees, recruitment agency fees, donations, and grants.

[1267] The present invention provides a virtual shopping assistant system that allows users to have an effective shopping experience in a physical store.

[1268] Program processing

[1269] 1. Create a user account:

[1270] The user accesses the account creation page, enters the required information (name, email address, password, purpose of purchase, product categories they are interested in), and submits it. The server stores the received information in a database and creates a user account.

[1271] 2. Creating a Virtual Assistant:

[1272] The server generates multiple virtual assistants with different personalities, genders, and areas of expertise, and stores their profiles (personality, gender, area of ​​expertise, etc.) in a database.The virtual assistants have information and response scripts to provide product information and advice to users in real time.

[1273] 3. Select an assistant and start the service:

[1274] Users log in to their account and select the virtual assistant they want, the service they want (e.g., fashion advice for summer outdoors), and the time they want to use it. The selection is sent to the server, which accepts the request and checks whether the virtual assistant is available. If there are no issues, the server provides the user with a link to the service session.

[1275] 4. Performance of Services:

[1276] The user clicks on the provided link to start a service session at the specified time. The virtual assistant, a server-side program, analyzes the user's questions and comments in real time and provides appropriate feedback and advice, allowing the user to make an effective shopping experience.

[1277] 5. Recording usage time and managing system operating costs:

[1278] After the service ends, the server records the user's usage time in a database, and stores and shares that usage time. The server also manages revenues such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs.

[1279] Hardware and software used

[1280] Hardware:

[1281] Server: Amazon Web Services (AWS)

[1282] Client: Smartphone (iOS / Android), smart glasses (e.g., Google Glass), HMD (e.g., Oculus Quest)

[1283] software:

[1284] Database: MySQL

[1285] Server-side framework: Node.js

[1286] Client-side framework: React Native

[1287] Natural Language Processing (NLP): Google Cloud Natural Language API

[1288] Specific examples

[1289] For example, a user named Sato may create an account and select a fashionable female virtual assistant from Europe to receive advice on summer outdoor fashion.

[1290] 1. Sato accesses the account creation page and enters the required information to register.

[1291] 2. The server saves Mr. Sato's information and completes the account creation.

[1292] 3. Sato logs in to the application and selects the virtual assistant she wants and the service she wants (fashion advice for summer outdoor activities).

[1293] 4. The server receives the request and provides a service session link to Sato.

[1294] 5. Sato clicks the link to start the service, and the virtual assistant provides real-time advice.

[1295] Example prompts to input to a generative AI model:

[1296] plaintext

[1297] User: I'd like some advice on outdoor summer fashion.

[1298] Virtual Assistant: Thank you for your question! I'd like to recommend some lightweight, breathable clothing that's perfect for the outdoors. First, how about this casual shirt?

[1299] In this way, by providing a virtual shopping assistant system that supports the shopping experience in a physical store, users can receive high-quality advice tailored to their individual needs and preferences, and the system can be operated sustainably.

[1300] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1301] Step 1: User visits the account creation page

[1302] Input: A user visits the account creation page and fills in the required information in the form, such as their name, email address, password, purpose of purchase, and product categories of interest.

[1303] Data processing: Validating input information on the client side (React Native application)

[1304] Output: Successfully validated information is sent to the server

[1305] Step 2: The server saves the user information and creates an account

[1306] Input: User information sent by the client

[1307] Data processing: The server side (Node.js program) saves the received user information in the database (MySQL).

[1308] Output: The account creation is completed on the server side, and a message is sent to the user informing them of the account creation.

[1309] Step 3: Generate a Virtual Assistant

[1310] Input: The server receives the trigger to generate a virtual assistant

[1311] Data processing: The server generates multiple virtual assistants with different personalities, genders, and areas of expertise, and stores their profiles (personalities, genders, areas of expertise, etc.) in a database.

[1312] Output: Virtual assistant profile information stored in the database

[1313] Step 4: User selects assistant and service

[1314] Input: The user logs in to their account and selects the desired virtual assistant, service type, and time.

[1315] Data processing: Client side sends selections to server

[1316] Output: Selections are sent to the server

[1317] Step 5: The server accepts the request and provides a service session

[1318] Input: User request data

[1319] Data processing: The server analyzes the request, checks whether a virtual assistant is available, and generates a link for the service session.

[1320] Output: A service session link is provided to the user.

[1321] Step 6: Conduct a service session

[1322] Input: User clicks on the service session link to access the specified time

[1323] Data processing: The server-side virtual assistant analyzes the user's questions and statements in real time (using Google Cloud Natural Language API) and generates appropriate feedback and advice.

[1324] Output: Real-time feedback and advice to the user

[1325] Step 7: Record usage time and manage system operating costs

[1326] Input: User usage time after service session ends

[1327] Data processing: The server records usage time in a database. In addition, revenue from advertising fees, recruitment agency fees, donations, subsidies, etc. is tallied and the system's operating costs are managed.

[1328] Output: Usage time is accumulated in the database, and the management data for system operating costs is updated.

[1329] 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.

[1330] The present invention is a language learning system that allows users to create an account on the platform, select their preferred virtual instructor from multiple options with different personalities, genders, and regions, and specify the lesson content and time. The system's server handles all data processing, allowing users to access the system freely at any time from their own devices. The system is provided completely free of charge and also includes a "study time sharing" feature to reduce educational disparities. Furthermore, it incorporates an emotion engine that recognizes users' emotions, providing a more personalized learning experience.

[1331] Create a user account

[1332] 1. Create an account

[1333] A user accesses the platform and opens the account creation page, where they fill out the registration form with their name, email address, password, language preferences, etc.

[1334] The server receives the information, stores it in a database, and returns a message to the user indicating that the account has been created.

[1335] Virtual lecturer generation

[1336] 2. Instructor Generation

[1337] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings. It creates profile data (personality, gender, region, etc.) for each virtual instructor and stores it in a database.

[1338] Each virtual instructor is configured with educational content, response scripts, and an emotional engine.

[1339] Incorporating an emotion engine

[1340] 3. Emotion recognition

[1341] The server analyzes the user's comments and actions in real time and recognizes the user's emotional state through an emotion engine.

[1342] The emotion engine analyzes emotions (e.g., joy, interest, anxiety, fatigue) based on the user's text, voice, or video.

[1343] 4. Emotion-Based Response Modulation

[1344] The server receives the analysis results from the emotion engine and adjusts the virtual instructor's response appropriately. For example, if the user is feeling anxious, the virtual instructor will provide encouragement and support.

[1345] 5. Personalized learning experience

[1346] The server learns the user's emotional data and creates an individual emotional profile, which allows the virtual instructor to provide more personalized lessons.

[1347] Selecting a teacher and starting classes

[1348] 6. Select a teacher and request a lesson

[1349] Users log in to the platform and select the desired virtual instructor, lesson content, and lesson time.

[1350] The server receives the selection, verifies the schedule with the specified virtual instructor, and, if successful, provides the user with a link to the class session.

[1351] 7. Classes

[1352] The user clicks on the provided link to begin the class session at the specified time.

[1353] The virtual teacher, a server-side program, analyzes users' comments in real time and provides appropriate feedback using an emotion engine, helping users to learn languages ​​more effectively.

[1354] Record and share study time

[1355] 8. Record your study time

[1356] After class, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities.

[1357] Totally free to maintain

[1358] 9. Revenue Management

[1359] The server manages advertising fees from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, subsidies from the government, etc. These revenues cover the operating costs of the system.

[1360] Specific examples

[1361] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[1362] 1. Tanaka accesses the account creation page and enters the required information to register.

[1363] 2. The server saves Tanaka's information and completes the account creation.

[1364] 3. Tanaka logs in to the platform and selects the virtual instructor, lesson content, and time of the lesson.

[1365] 4. The server receives the request and provides Tanaka with a link to the class session.

[1366] 5. John clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[1367] 6. The virtual instructor uses the emotion engine to recognize Tanaka's emotions and adjust the response accordingly. For example, if Tanaka is nervous during class, the virtual instructor will provide advice on how to relax.

[1368] 7. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[1369] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[1370] The processing flow will be explained below.

[1371] Create a user account

[1372] Step 1:

[1373] A user visits the platform and opens the account creation page.

[1374] Step 2:

[1375] A user fills out a registration form with information such as name, email address, password, and language preferences.

[1376] Step 3:

[1377] The user's device checks the input and verifies that there are no input errors or blank spaces.

[1378] Step 4:

[1379] The user clicks the "Register" button and sends the entered information to the server.

[1380] Step 5:

[1381] The server stores the received information in a database and creates an account.

[1382] Step 6:

[1383] The server sends a notification to the user terminal that the account creation has been completed.

[1384] Virtual lecturer generation

[1385] Step 1:

[1386] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings.

[1387] Step 2:

[1388] The server creates profile data (personality, gender, region, etc.) for each virtual teacher and stores it in a database.

[1389] Step 3:

[1390] The server generates the virtual instructor's natural language processing and response scripts and loads the necessary AI models.

[1391] Incorporating an emotion engine

[1392] Step 1:

[1393] The server implements an emotion engine to analyze users' comments and actions in real time.

[1394] Step 2:

[1395] The emotion engine analyzes the user's text, voice, or video data to recognize emotions such as joy, interest, anxiety, and fatigue.

[1396] Step 3:

[1397] The server receives the analysis results from the emotion engine and adjusts the virtual instructor's responses appropriately.

[1398] Selecting a teacher and starting classes

[1399] Step 1:

[1400] The user logs in to the platform and opens the instructor selection page.

[1401] Step 2:

[1402] Displays a list of virtual instructors stored on the server.

[1403] Step 3:

[1404] The user selects the desired virtual instructor and enters the lesson content (e.g., Business English) and lesson time (e.g., 19:00-20:00).

[1405] Step 4:

[1406] The user device sends the selections and inputs to the server.

[1407] Step 5:

[1408] The server receives the request and checks whether the specified virtual instructor is available.

[1409] Step 6:

[1410] If the server is able to offer the lesson, it will return the lesson link and a confirmation message to the user's device.

[1411] Step 7:

[1412] Users click on the provided link when class time arrives.

[1413] Step 8:

[1414] The server initiates a lesson session, and the virtual instructor provides language instruction to the user.

[1415] Step 9:

[1416] The virtual instructor uses an emotion engine to recognize the user's emotions and adjust the response accordingly.

[1417] Record and share study time

[1418] Step 1:

[1419] After the class ends, the server records the user's study time in a database.

[1420] Step 2:

[1421] The server stores the recorded study time as "study time sharing."

[1422] Totally free to maintain

[1423] Step 1:

[1424] The server manages the advertising space on the platform and records advertising fees as revenue.

[1425] Step 2:

[1426] The server manages recruitment agency fees for foreign language talent, donations from companies, and subsidies from the government.

[1427] Step 3:

[1428] The server pays operating expenses from the revenue and covers the operating costs of the platform.

[1429] Step 4:

[1430] The server maintains the system so that all users can take classes for free.

[1431] Specific examples

[1432] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[1433] Step 1:

[1434] Tanaka accesses the account creation page, enters the required information, and registers.

[1435] Step 2:

[1436] The server saves Tanaka's information and completes the account creation.

[1437] Step 3:

[1438] Tanaka logs into the platform and selects the virtual instructor he wants, the lesson content, and the time.

[1439] Step 4:

[1440] The server receives the request and provides Tanaka with a link to the class session.

[1441] Step 5:

[1442] Tanaka clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[1443] Step 6:

[1444] The virtual instructor uses an emotion engine to recognize Tanaka's emotions and adjust the response accordingly. For example, if Tanaka is nervous during class, the virtual instructor will offer advice on how to relax.

[1445] Step 7:

[1446] After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[1447] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[1448] Example 2

[1449] 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."

[1450] In today's education system, it is difficult for users to receive a learning experience that meets their individual needs, especially when it comes to providing personalized education that takes into account their emotional state. It is also challenging to eliminate educational disparities and provide free, high-quality educational resources to all users. In addition, efficient methods are needed to manage diverse revenue streams and cover system operating costs.

[1451] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1452] In this invention, the server includes: means for a user to access an account creation page and enter and submit the information required in the registration form; means for the server to save the received information in a database and create an account; means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database; means for a user to select a desired virtual instructor, lesson content, and time and send the selection to the server; means for the server to accept the user's request, confirm whether the virtual instructor is available, and provide the user with a link to the lesson session; means for the server to analyze the user's emotional state in real time using an emotion engine and adjust a response based on the emotion; means for the server to record the user's study time after the lesson ends and accumulate and share the study time; and means for the server to manage revenue such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs. This allows users to receive personalized, high-quality educational resources free of charge, which can also contribute to eliminating educational disparities.

[1453] "User" refers to an individual who accesses the System, creates an account, selects a Virtual Instructor, and takes a class.

[1454] "Account Creation Page" means a web page where a User enters and submits information such as their name, email address, password, and language preferences.

[1455] "Server" refers to a computer system that receives information sent by users, stores it in a database, creates accounts, generates virtual instructors, uses an emotion engine, records learning time, manages revenue, etc.

[1456] "Database" refers to a data structure designed to efficiently store, manage, and retrieve information.

[1457] A "virtual instructor" refers to a computer-generated teaching assistant with different profiles based on personality, gender, and region, and is configured to link with the teaching content, response scripts, and emotion engine.

[1458] An "emotion engine" refers to an analysis system that analyzes a user's statements and actions in real time, recognizes their emotional state, and provides appropriate feedback.

[1459] "Classroom Session" refers to an educational activity that a User engages in with a Virtual Instructor at a specific time.

[1460] "Study time sharing" refers to a system that reallocates users' recorded study time in order to reduce educational disparities.

[1461] "Revenue" refers to monetary income used to cover the system's operating costs, such as advertising fees, recruitment agency fees, donations, and subsidies.

[1462] "Personalized education" refers to providing an educational experience that is optimized according to the user's individual needs and emotional state.

[1463] The present invention is a system that allows users to create an account on the platform, select a desired instructor from multiple virtual instructors with different personalities, genders, and regions, and specify the lesson content and lesson time to begin language learning. The detailed implementation method is described below.

[1464] First, the user accesses the platform using their device and opens the account creation page. The user enters information such as name, email address, password, and language preferences into the registration form and submits it. This information is received by the server and stored in a database. The server then sends a message back to the user indicating that the account creation has been completed.

[1465] Next, the server generates multiple virtual instructors with different personalities, genders, and regions. These virtual instructors have profile data (personality, gender, region, etc.), and each data is stored in a database. Each virtual instructor is also configured with educational content, response scripts, and settings for linking with an emotion engine. The emotion engine is a system that analyzes the user's comments and actions in real time and recognizes the user's emotional state.

[1466] When a user logs in to the platform and selects the desired virtual instructor, lesson content, and lesson time, the server receives the selection, checks the schedule for the specified virtual instructor and time, and if there are no problems, provides the user with a link to the lesson session.

[1467] When a user clicks the provided link to begin the lesson, the virtual instructor, a server-side program, analyzes the user's comments in real time. The emotion engine is then utilized to provide appropriate feedback based on the user's emotional state. For example, if the user is feeling anxious, the virtual instructor will offer encouragement and support.

[1468] After the lesson ends, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities.

[1469] In addition, the server manages revenues from advertising fees, recruitment agency fees, donations, subsidies, etc. to cover the system's operating costs, allowing the platform to be provided completely free of charge and contributing to the elimination of educational disparities.

[1470] As a concrete example, consider the case where a user named Tanaka creates an account, selects a friendly female virtual tutor from the United States, and takes a business English class from 7:00 PM to 8:00 PM. Tanaka first accesses the account creation page and registers by entering the required information. He then logs into the platform and selects the desired virtual tutor, lesson content, and time. The server receives the request and provides Tanaka with a link to the lesson session. When Tanaka clicks the link to start the lesson, the virtual tutor provides instruction in real time and uses an emotion engine to recognize Tanaka's emotions and provide feedback. After the lesson ends, the server records Tanaka's study time and accumulates it as "study time sharing."

[1471] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[1472] An example of a prompt sentence might be:

[1473] Example prompt:

[1474] Describe in detail each step your server takes when Tanaka creates an account, and what happens when Tanaka selects a friendly female virtual teacher from the United States to take a business English class.

[1475] In this way, this system provides highly personalized educational services according to the needs of users, and also contributes to eliminating educational disparities.

[1476] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1477] Step 1:

[1478] A user accesses the platform using a device and opens the account creation page. The user enters their name, email address, password, language preferences, etc. into the registration form. The entered information is sent to the server by pressing the submit button on the form. Input data: name, email address, password, language preferences. Output data: user information sent to the server.

[1479] Step 2:

[1480] The server stores the received user information in a database. If the storage is successful, it generates a confirmation message indicating that the account creation has been completed and sends it back to the user's device. Input data: User information. Output data: User information stored in the database, confirmation message.

[1481] Step 3:

[1482] The server generates multiple virtual instructors with different personalities, genders, and regions. For each virtual instructor, profile data (personality, gender, region, etc.) is created and saved in a database. Educational content and response scripts are also added to the virtual instructors, and linkage with the emotion engine is configured. Input data: Virtual instructor generation parameters (personality, gender, region, etc.). Output data: Virtual instructor profile saved in the database.

[1483] Step 4:

[1484] The user logs in to the platform from their device and selects the desired virtual instructor, lesson content, and lesson time. The selection is sent to the server. Input data: User-selected virtual instructor, lesson content, and lesson time. Output data: Selection sent to the server.

[1485] Step 5:

[1486] The server receives the user's selection and checks the schedule for the specified virtual instructor and time. If there are no problems with the schedule, it generates a link for the lesson session and provides it to the user. Input data: User's selection. Output data: Lesson session link.

[1487] Step 6:

[1488] The user clicks on the provided link to start the teaching session. The virtual instructor, a server-side program, analyzes the user's utterances in real time. Input data: User's link click, user's utterances. Output data: User's utterances analyzed in real time.

[1489] Step 7:

[1490] The server uses an emotion engine to analyze the user's emotional state in real time. Based on the results, the virtual instructor provides appropriate feedback. Input data: User's utterances and actions. Output data: User's emotional state, adjusted feedback.

[1491] Step 8:

[1492] After the lesson ends, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing." Input data: End time of the lesson session. Output data: The user's study time recorded in the database.

[1493] Step 9:

[1494] The server manages revenues such as advertising fees from advertisements displayed on the platform, recruitment agency fees, donations, and subsidies. These revenues are used to cover the operating costs of the system. Input data: advertising fees, recruitment agency fees, donations, and subsidies. Output data: managed revenues, operating costs.

[1495] (Application example 2)

[1496] 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."

[1497] While the demand for language learning is increasing in modern society, there is a lack of means to provide personalized learning experiences tailored to the needs of individual learners. Furthermore, the issue of educational inequality persists, with many learners unable to access education due to financial constraints. Therefore, there is a need to provide high-quality education equitably to all learners. Furthermore, there is a need for systems that can respond flexibly to learners' emotional states, but existing systems are not able to adequately adapt to such needs.

[1498] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1499] In this invention, the server includes: a means for a user to access an account creation page and enter and submit the required information in a registration form; a means for the server to save the received information in a database and create an account; a means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database; a means for a user to select a desired virtual instructor, lesson content, and time and send the selection to the server; a means for the server to accept the user's request, confirm whether a virtual instructor is available, and provide the user with a link to the lesson session; a means for the server to record the user's study time after the lesson ends and accumulate and share the study time; a means for the server to manage revenue such as advertising fees, recruitment fees, donations, and subsidies and cover system operating costs; a means for the server to analyze the user's comments using an emotion recognition engine and identify the user's emotional state in real time; a means for adjusting the virtual instructor's responses based on the identified emotional state; and a means for installing an application on a smartphone, smart glasses, or head-mounted display to provide a personalized learning experience. This enables highly personalized education to all learners, flexible responses according to emotional states, and reduces educational disparities and provides equal learning opportunities.

[1500] "User" means an individual learner or registrant who uses the System to study a language.

[1501] An "account creation page" is a web page or interface through which a user may enter the necessary information to register.

[1502] "Registration Form" means an online form where a User may enter information such as name, email address, password, and language preferences to create an Account.

[1503] A "server" is a computer system or network that receives and processes user requests.

[1504] "Database" refers to a system for storing data such as received information, virtual instructor profiles, and user study time.

[1505] A "virtual teacher" is a computer program or AI that has multiple teacher profiles with different personalities, genders, and regions and gives lessons to users.

[1506] The "profile" is attribute information about the virtual instructor, such as personality, gender, region, educational content, and response script.

[1507] A "class session" is an online learning period during which a user and a virtual instructor interact to advance learning content.

[1508] An "emotion recognition engine" is software or algorithm that analyzes what a user says and identifies their emotional state in real time.

[1509] A "personalized learning experience" is learning content and feedback that is tailored to a user's individual needs and emotional state.

[1510] A "smartphone" is a mobile phone that has the ability to connect to the Internet and install applications.

[1511] "Smart glasses" are glasses-type devices that have display functions for displaying information and interacting with the wearer.

[1512] A "head-mounted display" is a headset-type display device that displays information in the user's field of vision.

[1513] The system for implementing this invention begins when a user accesses an account creation page, enters the required information in the registration form, and submits it. The server saves the received information in a database and creates an account. This process uses Flask as the web application framework and SQLite or another RDBMS as the database.

[1514] The server generates multiple virtual instructors with different personalities, genders, and regions, and stores their profiles in a database. The virtual instructors are built as AI models, and are configured with educational content, response scripts, and an emotion recognition engine. Users select their desired virtual instructor, lesson content, and time based on their learning needs, and send their selection to the server. The server accepts the user's request, checks whether a virtual instructor is available, and provides the user with a link to the lesson session.

[1515] During the lesson session, the user's speech is analyzed by an emotion recognition engine to identify their emotional state in real time. Apache OpenNLP and Google Cloud Natural Language API are used for the emotion recognition engine. The server then adjusts the virtual instructor's responses based on the user's emotional state, providing a personalized learning experience for the user. Users access the application through their smartphone, smart glasses, or head-mounted display and participate in the learning session. The application functions as a web application built on Flask and is installed on the device.

[1516] After the class ends, the server records the user's study time, and stores and shares that time. The server also redistributes the user's study time as a "study time share" to reduce educational disparities. Furthermore, the server manages revenues from advertising fees, recruitment agency fees, donations, subsidies, etc. to cover the system's operating costs.

[1517] A specific example of this is the following operation: A user accesses an account creation page, enters information such as their name, email address, and language of interest, and then submits it. The server stores the received information in a database and creates an account. The user then selects the desired virtual instructor, lesson content, and lesson time, and sends this information to the server. The server receives the request and provides the user with a link to the lesson session. When the user clicks the link to begin the lesson, the virtual instructor provides instruction in real time and analyzes the user's emotional state using an emotion recognition engine. For example, if a user says, "I am feeling a bit nervous about this lesson," the emotion recognition engine identifies the emotion as "nervous," and the virtual instructor adjusts its response. After the lesson ends, the server records the user's study time and redistributes it as "study time sharing." This makes it possible to provide highly personalized education to all learners and flexibly respond to their emotional states.

[1518] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1519] Step 1:

[1520] A user visits the account creation page, fills in the registration form with information such as their name, email address, password, and language preferences, and submits it.

[1521] Specifically, the user enters the necessary information using a browser or application and presses the "Submit" button.

[1522] Input: Name, Email Address, Password, Language Interest

[1523] Output: Account creation request

[1524] Step 2:

[1525] The server stores the received information in its database, creates the account, and returns a message to the user confirming registration.

[1526] Specifically, the server uses Flask to receive POST requests, save the user information to the database, and then display a message to the user confirming that their account has been created.

[1527] Input: Account creation request (name, email address, password, language preferences)

[1528] Output: Account creation complete message

[1529] Step 3:

[1530] The server generates a plurality of virtual instructors with different personalities, genders, and regions, and stores their profiles in a database.

[1531] Specifically, the server uses the AI ​​model to generate virtual instructors and stores their profile data in a database. Each virtual instructor is configured with educational content, response scripts, and an emotion engine.

[1532] Input: Virtual instructor creation request

[1533] Output: Virtual instructor profile data

[1534] Step 4:

[1535] The user selects the desired virtual instructor, lesson content, and time, and transmits the selection to the server.

[1536] Specifically, the user selects the desired instructor from a list of virtual instructors within the application, specifies the lesson content and date and time, and presses the "Send Request" button.

[1537] Input: Selected virtual instructor, lesson content, lesson time

[1538] Output: Lesson request

[1539] Step 5:

[1540] The server accepts the user's request, checks availability with the virtual instructor, and provides the user with a link to the class session.

[1541] Specifically, the server checks the virtual instructor's schedule from the database, and if there are no problems, it generates a link to the lesson session and provides it to the user.

[1542] Input: Lesson request

[1543] Output: Link to class session

[1544] Step 6:

[1545] During a class session, the server analyzes what the user says using an emotion recognition engine to identify the user's emotional state in real time.

[1546] Specifically, the server uses Apache OpenNLP and Google Cloud Natural Language API to perform text analysis of the user's speech and identify their emotional state.

[1547] Input: What the user says

[1548] Output: User's emotional state

[1549] Step 7:

[1550] The server adjusts the virtual instructor's responses based on the identified emotional state to provide personalized feedback.

[1551] Specifically, the server selects a response script according to the emotional state, and the virtual instructor provides appropriate feedback.

[1552] Input: User's emotional state

[1553] Output: Personalized feedback

[1554] Step 8:

[1555] After class ends, the server records the user's study time, stores that study time in a database, and shares it.

[1556] Specifically, the server calculates the study time after the lesson ends and stores it in a database.

[1557] Input: End time of class

[1558] Output: Recorded study time

[1559] Step 9:

[1560] In order to reduce educational disparities, the server reallocates the study time used by users as "study time sharing."

[1561] As a specific operation, the server reallocates the recorded learning time and provides learning opportunities to new users.

[1562] Input: Recorded study time

[1563] Output: Reallocation by "study time sharing"

[1564] Step 10:

[1565] The server manages revenue from advertising fees, recruitment agency fees, donations, subsidies, etc., and covers the system's operating costs.

[1566] Specifically, the server records the revenue information in a database and uses it as system operating costs.

[1567] Input: Advertising fees, recruitment agency fees, donations, and subsidy data

[1568] Output: System operating cost management

[1569] 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.

[1570] 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.

[1571] 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.

[1572] [Fourth embodiment]

[1573] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1574] 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.

[1575] 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).

[1576] 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.

[1577] 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.

[1578] 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).

[1579] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1580] 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.

[1581] 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.

[1582] 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.

[1583] 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.

[1584] 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.

[1585] 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."

[1586] The present invention is a language learning system that allows users to create an account on the platform, select their preferred virtual instructor from multiple options that vary in personality, gender, and location, and specify the lesson content and time. The system's server handles all data processing, and users can access the system freely at any time from their own devices. The system is provided completely free of charge and also includes a "study time sharing" feature to reduce educational disparities.

[1587] Create a user account

[1588] 1. Create an account

[1589] A user accesses the platform and opens the account creation page, where they fill out the registration form with their name, email address, password, language preferences, etc.

[1590] The server receives the information, stores it in a database, and returns a message to the user indicating that the account creation is complete.

[1591] Virtual lecturer generation

[1592] 2. Instructor Generation

[1593] The server generates multiple virtual instructors with different personalities, genders, and regions, which includes storing each instructor's profile (personality, gender, region, etc.) in a database.

[1594] Each virtual instructor is also set with information such as educational content and response scripts.

[1595] Selecting a teacher and starting classes

[1596] 3. Select a teacher and request a lesson

[1597] Users log in to the platform and select the desired virtual instructor, lesson content, and lesson time.

[1598] The server receives the selection, verifies the schedule with the specified virtual instructor, and, if successful, provides the user with a link to the class session.

[1599] 4. Class implementation

[1600] The user clicks on the provided link to begin the class session at the specified time.

[1601] The virtual teacher, a server-side program, analyzes users' comments in real time and provides appropriate feedback, helping users to learn languages ​​more effectively.

[1602] Record and share study time

[1603] 5. Record your study time

[1604] After the lesson ends, the server records the user's study time in a database.

[1605] The recorded study time will be accumulated as "study time sharing" and used to reduce educational disparities.

[1606] Totally free to maintain

[1607] 6. Revenue Management

[1608] The server manages advertising fees from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, subsidies from the government, etc. These revenues cover the operating costs of the system.

[1609] This means that all users can take classes completely free of charge.

[1610] Specific examples

[1611] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[1612] 1. Tanaka accesses the account creation page and enters the required information to register.

[1613] 2. The server saves Tanaka's information and completes the account creation.

[1614] 3. Tanaka logs in to the platform and selects the virtual instructor, lesson content, and time of the lesson.

[1615] 4. The server receives the request and provides Tanaka with a link to the class session.

[1616] 5. John clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[1617] 6. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[1618] In this way, this system provides high-quality language education by virtual instructors free of charge and has the function of reducing educational disparities.

[1619] The processing flow will be explained below.

[1620] Create a user account

[1621] Step 1:

[1622] A user visits the platform and opens the account creation page.

[1623] Step 2:

[1624] A user fills out a registration form with information such as name, email address, password, and language preferences.

[1625] Step 3:

[1626] The user terminal checks the input content and verifies that there are no input errors or blank spaces.

[1627] Step 4:

[1628] The user clicks the "Register" button and sends the entered information to the server.

[1629] Step 5:

[1630] The server stores the received information in a database and creates an account.

[1631] Step 6:

[1632] The server sends a notification to the user terminal that the account creation has been completed.

[1633] Virtual lecturer generation

[1634] Step 1:

[1635] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings.

[1636] Step 2:

[1637] The server creates profile data (personality, gender, region, etc.) for each virtual teacher and stores it in a database.

[1638] Step 3:

[1639] The server generates the virtual instructor's natural language processing and response scripts and loads the necessary AI models.

[1640] Selecting a teacher and starting classes

[1641] Step 1:

[1642] The user logs in to the platform and opens the instructor selection page.

[1643] Step 2:

[1644] Displays a list of virtual instructors stored on the server.

[1645] Step 3:

[1646] The user selects the desired virtual instructor and enters the lesson content (e.g., Business English) and lesson time (e.g., 19:00-20:00).

[1647] Step 4:

[1648] The user terminal transmits the selection and input to the server.

[1649] Step 5:

[1650] The server receives the request and checks whether the specified virtual instructor is available.

[1651] Step 6:

[1652] If the server is able to offer the lesson, it will return the lesson link and a confirmation message to the user terminal.

[1653] Step 7:

[1654] Users click on the provided link when class time arrives.

[1655] Step 8:

[1656] The server initiates a lesson session, and the virtual instructor provides language instruction to the user.

[1657] Record and share study time

[1658] Step 1:

[1659] After the class ends, the server records the user's study time in a database.

[1660] Step 2:

[1661] The server stores the recorded study time as "study time sharing."

[1662] Totally free to maintain

[1663] Step 1:

[1664] The server manages the advertising space on the platform and records advertising fees as revenue.

[1665] Step 2:

[1666] The server manages recruitment agency fees for foreign language talent, donations from companies, and subsidies from the government.

[1667] Step 3:

[1668] The server pays operating expenses from the revenue and covers the operating costs of the platform.

[1669] Step 4:

[1670] The server maintains the system so that all users can take classes for free.

[1671] Example 1

[1672] 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."

[1673] Traditional language learning systems face challenges such as high costs, limited access to certain users, and dependency on specific instructors, resulting in educational disparities. They also lack real-time feedback, limiting learning outcomes. Furthermore, they lack the ability to share or reallocate learning time, creating a lack of a collaborative learning environment.

[1674] 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.

[1675] In this invention, the server includes a means for a user to access an account creation page and input the necessary information into a registration form and submit it, a means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database, and a means for recording the user's study time after the class ends and accumulating and sharing that study time. This allows all users to receive high-quality language education free of charge, receive real-time feedback, and reduce educational disparities.

[1676] "User" refers to an individual who uses the System to learn a language.

[1677] "Account Creation Page" means a web page that allows a User to register a new Account.

[1678] "Registration Form" means a web form that contains fields for a User to enter information required to create an Account.

[1679] "Server" refers to a computer system that stores information in a database and executes various processes.

[1680] "Database" refers to the storage system in which user information and virtual instructor profile information is stored.

[1681] "Virtual instructor" refers to an instructor character generated by a computer program, with a set personality, gender, region, etc.

[1682] "Profile" refers to detailed information about a Virtual Instructor, such as personality, gender, location, etc.

[1683] "Coursework" means the specific topic or subject that a User wishes to learn in a Session with a Virtual Instructor.

[1684] "Lesson Hour" means the date, time and duration designated by a User for a Session with a Virtual Instructor.

[1685] "Class session link" refers to the URL or access point required for a user to join a specific class.

[1686] "Study Time" refers to the time a User spends in class with a Virtual Instructor.

[1687] "Storage" refers to the process by which information stored in a database is added and accumulated.

[1688] "Sharing" means that specific information or resources are accessed and used by multiple users.

[1689] "Advertising Fees" refers to revenues earned from advertisements displayed on the System.

[1690] "Recruitment agency fees" refers to the fees earned when mediating the recruitment of foreign language personnel.

[1691] "Donations" refer to free financial contributions provided by companies or individuals.

[1692] "Subsidy" refers to funds provided by public agencies for the operation of the system.

[1693] "Feedback" refers to the evaluation or criticism provided by the virtual instructor in response to a user's comments or actions.

[1694] "Educational inequality" refers to disparities in educational quality and opportunities that arise due to regional or economic reasons.

[1695] "Study time sharing" refers to a system in which users share the time they spend studying with other users and redistribute it as a resource.

[1696] The present invention is a language learning system in which users create an account and choose from a selection of virtual instructors. The system's server handles all data processing, and users can access it freely at any time from their own devices. It is also provided completely free of charge and includes a "study time sharing" feature to reduce educational disparities. A specific embodiment of this system is described below.

[1697] First, a user accesses the platform's account creation page using a web browser. They enter their name, email address, password, and preferred language into the registration form and submit it. The device checks the entered information and sends the data to the server when the submit button is pressed. The server stores the received information in a database and sends a confirmation email to the user's email address if the account creation is successful.

[1698] The server uses a generative AI model to generate virtual instructors with different profiles, such as personality, gender, and region. A prompt sentence is input to the model to create an instructor profile. Each virtual instructor is also configured with educational content and response scripts, which are then stored in a database.

[1699] When a user logs in to the platform, they can access a screen where they can select their preferred virtual instructor. They then select their preferred instructor and specify the desired lesson content and lesson time. The device sends the selection to the server, which receives the information and confirms the schedule for the specified virtual instructor and time. If the schedule is successful, a link for the lesson session is generated and provided to the user.

[1700] Users click on the provided link to join the lesson session at the designated time. The device provides an interface that allows for real-time voice and text interaction. Meanwhile, the virtual instructor on the server analyzes the user's speech in real time and provides appropriate feedback, such as corrections to the user's pronunciation and grammar, or additional practice questions.

[1701] After the lesson ends, the server automatically records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities. The server uses this information to manage revenue and cover the system's operating costs. Specifically, this includes revenue from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, and subsidies from public institutions.

[1702] (Example)

[1703] Here's how a user named Tanaka creates an account, selects a friendly female virtual instructor from the United States, and takes a business English class from 7:00 PM to 8:00 PM.

[1704] 1. Tanaka accesses the account creation page and registers by entering his name "Taro Tanaka", email "tanaka@example.com", password "password123", and language of interest "English".

[1705] 2. The server saves Tanaka's information and completes the account creation.

[1706] 3. Tanaka logs into the platform, selects a friendly female virtual instructor, and selects the lesson as "Business English" and the lesson time as "7:00 PM to 8:00 PM."

[1707] 4. The server receives the request, generates a link to the class session, and provides it to Tanaka.

[1708] 5. John clicks the link to start the lesson, with the virtual instructor providing real-time guidance.

[1709] 6. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[1710] In this way, the system can provide high-quality language education by virtual instructors free of charge and reduce educational disparities.

[1711] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1712] Step 1:

[1713] Input: A user visits the account creation page and enters their name, email address, password, and language preferences.

[1714] Specific behavior:

[1715] User: Visits the platform's account creation page in a web browser and enters the required information.

[1716] Terminal: Checks the contents of the input form and sends the data to the server when the submit button is pressed.

[1717] Output: The input information is sent to the server.

[1718] Step 2:

[1719] Input: The submitted user information.

[1720] Specific behavior:

[1721] Server: Stores the received user information in a database. Sends a confirmation email to the user's email address confirming that the account was created successfully.

[1722] Output: Saves user information and sends a confirmation email.

[1723] Step 3:

[1724] Input: A prompt for the generative AI model.

[1725] Specific behavior:

[1726] Server: Uses a generative AI model to generate virtual instructors with different personalities, genders, and regions. Enter prompts into this model to create instructor profiles.

[1727] Output: Virtual instructor profile data is generated and stored in a database.

[1728] Step 4:

[1729] Input: Login information provided by the user.

[1730] Specific behavior:

[1731] User: Log in to the platform, select the desired virtual instructor, and specify the desired lesson content and lesson time.

[1732] Device: Sends the user's selection information to the server.

[1733] Output: The selected virtual instructor and lesson configuration information is sent to the server.

[1734] Step 5:

[1735] Input: Virtual instructor and class setup information.

[1736] Specific behavior:

[1737] Server: Based on the received information, it checks the schedule for the specified virtual instructor and time. If there are no problems, it generates a link for the class session and provides it to the user.

[1738] Output: A link to the lesson session is generated and provided to the user.

[1739] Step 6:

[1740] Input: The teaching session link provided.

[1741] Specific behavior:

[1742] User: Clicks on the provided link and joins the class session at the specified time.

[1743] Terminal: Provides an interface that allows real-time voice and text interaction.

[1744] Output: A teaching session begins in real time.

[1745] Step 7:

[1746] Input: What the user says and does.

[1747] Specific behavior:

[1748] Server: The virtual instructor analyzes the user's speech in real time and provides appropriate feedback, such as correcting the user's pronunciation and grammar, or suggesting additional practice questions.

[1749] Output: Real-time feedback on what the user says.

[1750] Step 8:

[1751] Input: Log data after the lesson ends.

[1752] Specific behavior:

[1753] Server: After the lesson ends, the user's study time is recorded in the database. Based on this information, the study time sharing data is updated.

[1754] Output: Updated data for recording and sharing study time.

[1755] Step 9:

[1756] Inputs: Advertisements displayed on the system, recruitment agency fees, donations, and grants.

[1757] Specific behavior:

[1758] Server: Manages revenue to cover the system's operating costs. It collects advertising fees, recruitment agency fees, corporate donations, and subsidies from public institutions, and distributes them efficiently.

[1759] Output: System operating costs are covered and tuition remains free.

[1760] (Application example 1)

[1761] 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."

[1762] In traditional brick-and-mortar shopping experiences, it is difficult to provide appropriate advice and information tailored to individual users' needs and preferences. Furthermore, language barriers and regional accessibility gaps can leave users dissatisfied with their shopping experience. Therefore, there is a need for a system that allows users to shop smoothly in-store and achieve satisfactory results.

[1763] 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.

[1764] In this invention, the server includes: a means for a user to access an account creation page and enter and submit the information required in the registration form; a means for the server to save the received information in a database and create an account; a means for generating a plurality of virtual assistants with different personalities, genders, and areas of expertise and saving their profiles in a database; a means for the user to select the desired virtual assistant, service content, and time and send the selection to the server; a means for the server to accept the user's request, confirm whether the request can be handled by a virtual assistant, and provide the user with a link to the service session; a means for the server to record the user's usage time after the service is completed and accumulate and share that usage time; and a means for the server to manage revenue such as advertising fees, recruitment agency fees, donations, and subsidies and cover the operating costs of the system. This enables users to receive high-quality assistance tailored to their individual needs even in physical stores, and also makes it possible to operate the system sustainably.

[1765] "User" means an individual or organization that accesses the System and uses the shopping experience or services.

[1766] An "account creation page" is a web page or application screen where a user can enter the required information to register with the system.

[1767] "Server" is a central computer that processes data for the entire system, manages user information, generates virtual assistants, and provides services.

[1768] "Database" means a data management system for the System to store User information, Virtual Assistant profiles, and other necessary data.

[1769] A "virtual assistant" is a virtual presence with different profiles based on personality, gender, and area of ​​expertise, that provides services and advice tailored to the user's individual needs.

[1770] "Service Content" refers to the specific information or advice that a user requests from a virtual assistant.

[1771] A "service session" is a series of interactions and information exchanges between a user and a virtual assistant over a specified period of time.

[1772] A "link" is a web address or a specific point within an application that a user uses to access a service session with a virtual assistant.

[1773] "Usage time" is the total amount of time a user spends using a service session with a virtual assistant or a function within the system.

[1774] "Advertising Fees" refers to revenue earned from advertisements displayed on the Platform.

[1775] "Recruitment agency fees" are fees received by the system when companies or individuals conduct job searches.

[1776] "Donations" are funds provided to support the operation of the System.

[1777] A "subsidy" is funding provided by a government or public agency to cover part of the operating costs of a system.

[1778] "Revenue" means monetary resources to support the operation of the system, including advertising fees, recruitment agency fees, donations, and grants.

[1779] The present invention provides a virtual shopping assistant system that allows users to have an effective shopping experience in a physical store.

[1780] Program processing

[1781] 1. Create a user account:

[1782] The user accesses the account creation page, enters the required information (name, email address, password, purpose of purchase, product categories they are interested in), and submits it. The server stores the received information in a database and creates a user account.

[1783] 2. Creating a Virtual Assistant:

[1784] The server generates multiple virtual assistants with different personalities, genders, and areas of expertise, and stores their profiles (personality, gender, area of ​​expertise, etc.) in a database.The virtual assistants have information and response scripts to provide product information and advice to users in real time.

[1785] 3. Select an assistant and start the service:

[1786] Users log in to their account and select the virtual assistant they want, the service they want (e.g., fashion advice for summer outdoors), and the time they want to use it. The selection is sent to the server, which accepts the request and checks whether the virtual assistant is available. If there are no issues, the server provides the user with a link to the service session.

[1787] 4. Performance of Services:

[1788] The user clicks on the provided link to start a service session at the specified time. The virtual assistant, a server-side program, analyzes the user's questions and comments in real time and provides appropriate feedback and advice, allowing the user to make an effective shopping experience.

[1789] 5. Recording usage time and managing system operating costs:

[1790] After the service ends, the server records the user's usage time in a database, and stores and shares that usage time. The server also manages revenues such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs.

[1791] Hardware and software used

[1792] Hardware:

[1793] Server: Amazon Web Services (AWS)

[1794] Client: Smartphone (iOS / Android), smart glasses (e.g., Google Glass), HMD (e.g., Oculus Quest)

[1795] software:

[1796] Database: MySQL

[1797] Server-side framework: Node.js

[1798] Client-side framework: React Native

[1799] Natural Language Processing (NLP): Google Cloud Natural Language API

[1800] Specific examples

[1801] For example, a user named Sato may create an account and select a fashionable female virtual assistant from Europe to receive advice on summer outdoor fashion.

[1802] 1. Sato accesses the account creation page and enters the required information to register.

[1803] 2. The server saves Mr. Sato's information and completes the account creation.

[1804] 3. Sato logs in to the application and selects the virtual assistant she wants and the service she wants (fashion advice for summer outdoor activities).

[1805] 4. The server receives the request and provides a service session link to Sato.

[1806] 5. Sato clicks the link to start the service, and the virtual assistant provides real-time advice.

[1807] Example prompts to input to a generative AI model:

[1808] plaintext

[1809] User: I'd like some advice on outdoor summer fashion.

[1810] Virtual Assistant: Thank you for your question! I'd like to recommend some lightweight, breathable clothing that's perfect for the outdoors. First, how about this casual shirt?

[1811] In this way, by providing a virtual shopping assistant system that supports the shopping experience in a physical store, users can receive high-quality advice tailored to their individual needs and preferences, and the system can be operated sustainably.

[1812] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1813] Step 1: User visits the account creation page

[1814] Input: A user visits the account creation page and fills in the required information in the form, such as their name, email address, password, purpose of purchase, and product categories of interest.

[1815] Data processing: Validating input information on the client side (React Native application)

[1816] Output: Successfully validated information is sent to the server

[1817] Step 2: The server saves the user information and creates an account

[1818] Input: User information sent by the client

[1819] Data processing: The server side (Node.js program) saves the received user information in the database (MySQL).

[1820] Output: The account creation is completed on the server side, and a message is sent to the user informing them of the account creation.

[1821] Step 3: Generate a Virtual Assistant

[1822] Input: The server receives the trigger to generate a virtual assistant

[1823] Data processing: The server generates multiple virtual assistants with different personalities, genders, and areas of expertise, and stores their profiles (personalities, genders, areas of expertise, etc.) in a database.

[1824] Output: Virtual assistant profile information stored in the database

[1825] Step 4: User selects assistant and service

[1826] Input: The user logs in to their account and selects the desired virtual assistant, service type, and time.

[1827] Data processing: Client side sends selections to server

[1828] Output: Selections are sent to the server

[1829] Step 5: The server accepts the request and provides a service session

[1830] Input: User request data

[1831] Data processing: The server analyzes the request, checks whether a virtual assistant is available, and generates a link for the service session.

[1832] Output: A service session link is provided to the user.

[1833] Step 6: Conduct a service session

[1834] Input: User clicks on the service session link to access the specified time

[1835] Data processing: The server-side virtual assistant analyzes the user's questions and statements in real time (using Google Cloud Natural Language API) and generates appropriate feedback and advice.

[1836] Output: Real-time feedback and advice to the user

[1837] Step 7: Record usage time and manage system operating costs

[1838] Input: User usage time after service session ends

[1839] Data processing: The server records usage time in a database. In addition, revenue from advertising fees, recruitment agency fees, donations, subsidies, etc. is tallied and the system's operating costs are managed.

[1840] Output: Usage time is accumulated in the database, and the management data for system operating costs is updated.

[1841] 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.

[1842] The present invention is a language learning system that allows users to create an account on the platform, select their preferred virtual instructor from multiple options with different personalities, genders, and regions, and specify the lesson content and time. The system's server handles all data processing, allowing users to access the system freely at any time from their own devices. The system is provided completely free of charge and also includes a "study time sharing" feature to reduce educational disparities. Furthermore, it incorporates an emotion engine that recognizes users' emotions, providing a more personalized learning experience.

[1843] Create a user account

[1844] 1. Create an account

[1845] A user accesses the platform and opens the account creation page, where they fill out the registration form with their name, email address, password, language preferences, etc.

[1846] The server receives the information, stores it in a database, and returns a message to the user indicating that the account has been created.

[1847] Virtual lecturer generation

[1848] 2. Instructor Generation

[1849] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings. It creates profile data (personality, gender, region, etc.) for each virtual instructor and stores it in a database.

[1850] Each virtual instructor is configured with educational content, response scripts, and an emotional engine.

[1851] Incorporating an emotion engine

[1852] 3. Emotion recognition

[1853] The server analyzes the user's comments and actions in real time and recognizes the user's emotional state through an emotion engine.

[1854] The emotion engine analyzes emotions (e.g., joy, interest, anxiety, fatigue) based on the user's text, voice, or video.

[1855] 4. Emotion-Based Response Modulation

[1856] The server receives the analysis results from the emotion engine and adjusts the virtual instructor's response appropriately. For example, if the user is feeling anxious, the virtual instructor will provide encouragement and support.

[1857] 5. Personalized learning experience

[1858] The server learns the user's emotional data and creates an individual emotional profile, which allows the virtual instructor to provide more personalized lessons.

[1859] Selecting a teacher and starting classes

[1860] 6. Select a teacher and request a lesson

[1861] Users log in to the platform and select the desired virtual instructor, lesson content, and lesson time.

[1862] The server receives the selection, verifies the schedule with the specified virtual instructor, and, if successful, provides the user with a link to the class session.

[1863] 7. Classes

[1864] The user clicks on the provided link to begin the class session at the specified time.

[1865] The virtual teacher, a server-side program, analyzes users' comments in real time and provides appropriate feedback using an emotion engine, helping users to learn languages ​​more effectively.

[1866] Record and share study time

[1867] 8. Record your study time

[1868] After class, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities.

[1869] Totally free to maintain

[1870] 9. Revenue Management

[1871] The server manages advertising fees from advertisements displayed on the platform, recruitment agency fees for foreign language talent, donations from companies, subsidies from the government, etc. These revenues cover the operating costs of the system.

[1872] Specific examples

[1873] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[1874] 1. Tanaka accesses the account creation page and enters the required information to register.

[1875] 2. The server saves Tanaka's information and completes the account creation.

[1876] 3. Tanaka logs in to the platform and selects the virtual instructor, lesson content, and time of the lesson.

[1877] 4. The server receives the request and provides Tanaka with a link to the class session.

[1878] 5. John clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[1879] 6. The virtual instructor uses the emotion engine to recognize Tanaka's emotions and adjust the response accordingly. For example, if Tanaka is nervous during class, the virtual instructor will provide advice on how to relax.

[1880] 7. After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[1881] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[1882] The processing flow will be explained below.

[1883] Create a user account

[1884] Step 1:

[1885] A user visits the platform and opens the account creation page.

[1886] Step 2:

[1887] A user fills out a registration form with information such as name, email address, password, and language preferences.

[1888] Step 3:

[1889] The user's device checks the input and verifies that there are no input errors or blank spaces.

[1890] Step 4:

[1891] The user clicks the "Register" button and sends the entered information to the server.

[1892] Step 5:

[1893] The server stores the received information in a database and creates an account.

[1894] Step 6:

[1895] The server sends a notification to the user terminal that the account creation has been completed.

[1896] Virtual lecturer generation

[1897] Step 1:

[1898] The server generates multiple virtual instructors with different personalities, genders, and regions based on the settings.

[1899] Step 2:

[1900] The server creates profile data (personality, gender, region, etc.) for each virtual teacher and stores it in a database.

[1901] Step 3:

[1902] The server generates the virtual instructor's natural language processing and response scripts and loads the necessary AI models.

[1903] Incorporating an emotion engine

[1904] Step 1:

[1905] The server implements an emotion engine to analyze users' comments and actions in real time.

[1906] Step 2:

[1907] The emotion engine analyzes the user's text, voice, or video data to recognize emotions such as joy, interest, anxiety, and fatigue.

[1908] Step 3:

[1909] The server receives the analysis results from the emotion engine and adjusts the virtual instructor's responses appropriately.

[1910] Selecting a teacher and starting classes

[1911] Step 1:

[1912] The user logs in to the platform and opens the instructor selection page.

[1913] Step 2:

[1914] Displays a list of virtual instructors stored on the server.

[1915] Step 3:

[1916] The user selects the desired virtual instructor and enters the lesson content (e.g., Business English) and lesson time (e.g., 19:00-20:00).

[1917] Step 4:

[1918] The user device sends the selections and inputs to the server.

[1919] Step 5:

[1920] The server receives the request and checks whether the specified virtual instructor is available.

[1921] Step 6:

[1922] If the server is able to offer the lesson, it will return the lesson link and a confirmation message to the user's device.

[1923] Step 7:

[1924] Users click on the provided link when class time arrives.

[1925] Step 8:

[1926] The server initiates a lesson session, and the virtual instructor provides language instruction to the user.

[1927] Step 9:

[1928] The virtual instructor uses an emotion engine to recognize the user's emotions and adjust the response accordingly.

[1929] Record and share study time

[1930] Step 1:

[1931] After the class ends, the server records the user's study time in a database.

[1932] Step 2:

[1933] The server stores the recorded study time as "study time sharing."

[1934] Totally free to maintain

[1935] Step 1:

[1936] The server manages the advertising space on the platform and records advertising fees as revenue.

[1937] Step 2:

[1938] The server manages recruitment agency fees for foreign language talent, donations from companies, and subsidies from the government.

[1939] Step 3:

[1940] The server pays operating expenses from the revenue and covers the operating costs of the platform.

[1941] Step 4:

[1942] The server maintains the system so that all users can take classes for free.

[1943] Specific examples

[1944] For example, consider a user named Tanaka who creates an account and selects a friendly female virtual teacher from the United States to take a business English class from 7:00 PM to 8:00 PM.

[1945] Step 1:

[1946] Tanaka accesses the account creation page, enters the required information, and registers.

[1947] Step 2:

[1948] The server saves Tanaka's information and completes the account creation.

[1949] Step 3:

[1950] Tanaka logs into the platform and selects the virtual instructor he wants, the lesson content, and the time.

[1951] Step 4:

[1952] The server receives the request and provides Tanaka with a link to the class session.

[1953] Step 5:

[1954] Tanaka clicks the link to start the lesson, and the virtual instructor provides real-time instruction.

[1955] Step 6:

[1956] The virtual instructor uses an emotion engine to recognize Tanaka's emotions and adjust the response accordingly. For example, if Tanaka is nervous during class, the virtual instructor will offer advice on how to relax.

[1957] Step 7:

[1958] After the class ends, the server records Tanaka's study time and stores it as "study time sharing."

[1959] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[1960] Example 2

[1961] 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."

[1962] In today's education system, it is difficult for users to receive a learning experience that meets their individual needs, especially when it comes to providing personalized education that takes into account their emotional state. It is also challenging to eliminate educational disparities and provide free, high-quality educational resources to all users. In addition, efficient methods are needed to manage diverse revenue streams and cover system operating costs.

[1963] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1964] In this invention, the server includes: means for a user to access an account creation page and enter and submit the information required in the registration form; means for the server to save the received information in a database and create an account; means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database; means for a user to select a desired virtual instructor, lesson content, and time and send the selection to the server; means for the server to accept the user's request, confirm whether the virtual instructor is available, and provide the user with a link to the lesson session; means for the server to analyze the user's emotional state in real time using an emotion engine and adjust a response based on the emotion; means for the server to record the user's study time after the lesson ends and accumulate and share the study time; and means for the server to manage revenue such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs. This allows users to receive personalized, high-quality educational resources free of charge, which can also contribute to eliminating educational disparities.

[1965] "User" refers to an individual who accesses the System, creates an account, selects a Virtual Instructor, and takes a class.

[1966] "Account Creation Page" means a web page where a User enters and submits information such as their name, email address, password, and language preferences.

[1967] "Server" refers to a computer system that receives information sent by users, stores it in a database, creates accounts, generates virtual instructors, uses an emotion engine, records learning time, manages revenue, etc.

[1968] "Database" refers to a data structure designed to efficiently store, manage, and retrieve information.

[1969] A "virtual instructor" refers to a computer-generated teaching assistant with different profiles based on personality, gender, and region, and is configured to link with the teaching content, response scripts, and emotion engine.

[1970] An "emotion engine" refers to an analysis system that analyzes a user's statements and actions in real time, recognizes their emotional state, and provides appropriate feedback.

[1971] "Classroom Session" refers to an educational activity that a User engages in with a Virtual Instructor at a specific time.

[1972] "Study time sharing" refers to a system that reallocates users' recorded study time in order to reduce educational disparities.

[1973] "Revenue" refers to monetary income used to cover the system's operating costs, such as advertising fees, recruitment agency fees, donations, and subsidies.

[1974] "Personalized education" refers to providing an educational experience that is optimized according to the user's individual needs and emotional state.

[1975] The present invention is a system that allows users to create an account on the platform, select a desired instructor from multiple virtual instructors with different personalities, genders, and regions, and specify the lesson content and lesson time to begin language learning. The detailed implementation method is described below.

[1976] First, the user accesses the platform using their device and opens the account creation page. The user enters information such as name, email address, password, and language preferences into the registration form and submits it. This information is received by the server and stored in a database. The server then sends a message back to the user indicating that the account creation has been completed.

[1977] Next, the server generates multiple virtual instructors with different personalities, genders, and regions. These virtual instructors have profile data (personality, gender, region, etc.), and each data is stored in a database. Each virtual instructor is also configured with educational content, response scripts, and settings for linking with an emotion engine. The emotion engine is a system that analyzes the user's comments and actions in real time and recognizes the user's emotional state.

[1978] When a user logs in to the platform and selects the desired virtual instructor, lesson content, and lesson time, the server receives the selection, checks the schedule for the specified virtual instructor and time, and if there are no problems, provides the user with a link to the lesson session.

[1979] When a user clicks the provided link to begin the lesson, the virtual instructor, a server-side program, analyzes the user's comments in real time. The emotion engine is then utilized to provide appropriate feedback based on the user's emotional state. For example, if the user is feeling anxious, the virtual instructor will offer encouragement and support.

[1980] After the lesson ends, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing" and used to reduce educational disparities.

[1981] In addition, the server manages revenues from advertising fees, recruitment agency fees, donations, subsidies, etc. to cover the system's operating costs, allowing the platform to be provided completely free of charge and contributing to the elimination of educational disparities.

[1982] As a concrete example, consider the case where a user named Tanaka creates an account, selects a friendly female virtual tutor from the United States, and takes a business English class from 7:00 PM to 8:00 PM. Tanaka first accesses the account creation page and registers by entering the required information. He then logs into the platform and selects the desired virtual tutor, lesson content, and time. The server receives the request and provides Tanaka with a link to the lesson session. When Tanaka clicks the link to start the lesson, the virtual tutor provides instruction in real time and uses an emotion engine to recognize Tanaka's emotions and provide feedback. After the lesson ends, the server records Tanaka's study time and accumulates it as "study time sharing."

[1983] In this way, this system provides high-quality language education from virtual instructors free of charge, and by combining it with an emotion engine, it can provide users with a more personalized and effective learning experience.

[1984] An example of a prompt sentence might be:

[1985] Example prompt:

[1986] Describe in detail each step your server takes when Tanaka creates an account, and what happens when Tanaka selects a friendly female virtual teacher from the United States to take a business English class.

[1987] In this way, this system provides highly personalized educational services according to the needs of users, and also contributes to eliminating educational disparities.

[1988] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1989] Step 1:

[1990] A user accesses the platform using a device and opens the account creation page. The user enters their name, email address, password, language preferences, etc. into the registration form. The entered information is sent to the server by pressing the submit button on the form. Input data: name, email address, password, language preferences. Output data: user information sent to the server.

[1991] Step 2:

[1992] The server stores the received user information in a database. If the storage is successful, it generates a confirmation message indicating that the account creation has been completed and sends it back to the user's device. Input data: User information. Output data: User information stored in the database, confirmation message.

[1993] Step 3:

[1994] The server generates multiple virtual instructors with different personalities, genders, and regions. For each virtual instructor, profile data (personality, gender, region, etc.) is created and saved in a database. Educational content and response scripts are also added to the virtual instructors, and linkage with the emotion engine is configured. Input data: Virtual instructor generation parameters (personality, gender, region, etc.). Output data: Virtual instructor profile saved in the database.

[1995] Step 4:

[1996] The user logs in to the platform from their device and selects the desired virtual instructor, lesson content, and lesson time. The selection is sent to the server. Input data: User-selected virtual instructor, lesson content, and lesson time. Output data: Selection sent to the server.

[1997] Step 5:

[1998] The server receives the user's selection and checks the schedule for the specified virtual instructor and time. If there are no problems with the schedule, it generates a link for the lesson session and provides it to the user. Input data: User's selection. Output data: Lesson session link.

[1999] Step 6:

[2000] The user clicks on the provided link to start the teaching session. The virtual instructor, a server-side program, analyzes the user's utterances in real time. Input data: User's link click, user's utterances. Output data: User's utterances analyzed in real time.

[2001] Step 7:

[2002] The server uses an emotion engine to analyze the user's emotional state in real time. Based on the results, the virtual instructor provides appropriate feedback. Input data: User's utterances and actions. Output data: User's emotional state, adjusted feedback.

[2003] Step 8:

[2004] After the lesson ends, the server records the user's study time in a database. The recorded study time is accumulated as "study time sharing." Input data: End time of the lesson session. Output data: The user's study time recorded in the database.

[2005] Step 9:

[2006] The server manages revenues such as advertising fees from advertisements displayed on the platform, recruitment agency fees, donations, and subsidies. These revenues are used to cover the operating costs of the system. Input data: advertising fees, recruitment agency fees, donations, and subsidies. Output data: managed revenues, operating costs.

[2007] (Application example 2)

[2008] 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."

[2009] While the demand for language learning is increasing in modern society, there is a lack of means to provide personalized learning experiences tailored to the needs of individual learners. Furthermore, the issue of educational inequality persists, with many learners unable to access education due to financial constraints. Therefore, there is a need to provide high-quality education equitably to all learners. Furthermore, there is a need for systems that can respond flexibly to learners' emotional states, but existing systems are not able to adequately adapt to such needs.

[2010] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[2011] In this invention, the server includes: a means for a user to access an account creation page and enter and submit the required information in a registration form; a means for the server to save the received information in a database and create an account; a means for generating multiple virtual instructors with different personalities, genders, and regions and saving their profiles in a database; a means for a user to select a desired virtual instructor, lesson content, and time and send the selection to the server; a means for the server to accept the user's request, confirm whether a virtual instructor is available, and provide the user with a link to the lesson session; a means for the server to record the user's study time after the lesson ends and accumulate and share the study time; a means for the server to manage revenue such as advertising fees, recruitment fees, donations, and subsidies and cover system operating costs; a means for the server to analyze the user's comments using an emotion recognition engine and identify the user's emotional state in real time; a means for adjusting the virtual instructor's responses based on the identified emotional state; and a means for installing an application on a smartphone, smart glasses, or head-mounted display to provide a personalized learning experience. This enables highly personalized education to all learners, flexible responses according to emotional states, and reduces educational disparities and provides equal learning opportunities.

[2012] "User" means an individual learner or registrant who uses the System to study a language.

[2013] An "account creation page" is a web page or interface through which a user may enter the necessary information to register.

[2014] "Registration Form" means an online form where a User may enter information such as name, email address, password, and language preferences to create an Account.

[2015] A "server" is a computer system or network that receives and processes user requests.

[2016] "Database" refers to a system for storing data such as received information, virtual instructor profiles, and user study time.

[2017] A "virtual teacher" is a computer program or AI that has multiple teacher profiles with different personalities, genders, and regions and gives lessons to users.

[2018] The "profile" is attribute information about the virtual instructor, such as personality, gender, region, educational content, and response script.

[2019] A "class session" is an online learning period during which a user and a virtual instructor interact to advance learning content.

[2020] An "emotion recognition engine" is software or algorithm that analyzes what a user says and identifies their emotional state in real time.

[2021] A "personalized learning experience" is learning content and feedback that is tailored to a user's individual needs and emotional state.

[2022] A "smartphone" is a mobile phone that has the ability to connect to the Internet and install applications.

[2023] "Smart glasses" are glasses-type devices that have display functions for displaying information and interacting with the wearer.

[2024] A "head-mounted display" is a headset-type display device that displays information in the user's field of vision.

[2025] The system for implementing this invention begins when a user accesses an account creation page, enters the required information in the registration form, and submits it. The server saves the received information in a database and creates an account. This process uses Flask as the web application framework and SQLite or another RDBMS as the database.

[2026] The server generates multiple virtual instructors with different personalities, genders, and regions, and stores their profiles in a database. The virtual instructors are built as AI models, and are configured with educational content, response scripts, and an emotion recognition engine. Users select their desired virtual instructor, lesson content, and time based on their learning needs, and send their selection to the server. The server accepts the user's request, checks whether a virtual instructor is available, and provides the user with a link to the lesson session.

[2027] During the lesson session, the user's speech is analyzed by an emotion recognition engine to identify their emotional state in real time. Apache OpenNLP and Google Cloud Natural Language API are used for the emotion recognition engine. The server then adjusts the virtual instructor's responses based on the user's emotional state, providing a personalized learning experience for the user. Users access the application through their smartphone, smart glasses, or head-mounted display and participate in the learning session. The application functions as a web application built on Flask and is installed on the device.

[2028] After the class ends, the server records the user's study time, and stores and shares that time. The server also redistributes the user's study time as a "study time share" to reduce educational disparities. Furthermore, the server manages revenues from advertising fees, recruitment agency fees, donations, subsidies, etc. to cover the system's operating costs.

[2029] A specific example of this is the following operation: A user accesses an account creation page, enters information such as their name, email address, and language of interest, and then submits it. The server stores the received information in a database and creates an account. The user then selects the desired virtual instructor, lesson content, and lesson time, and sends this information to the server. The server receives the request and provides the user with a link to the lesson session. When the user clicks the link to begin the lesson, the virtual instructor provides instruction in real time and analyzes the user's emotional state using an emotion recognition engine. For example, if a user says, "I am feeling a bit nervous about this lesson," the emotion recognition engine identifies the emotion as "nervous," and the virtual instructor adjusts its response. After the lesson ends, the server records the user's study time and redistributes it as "study time sharing." This makes it possible to provide highly personalized education to all learners and flexibly respond to their emotional states.

[2030] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2031] Step 1:

[2032] A user visits the account creation page, fills in the registration form with information such as their name, email address, password, and language preferences, and submits it.

[2033] Specifically, the user enters the necessary information using a browser or application and presses the "Submit" button.

[2034] Input: Name, Email Address, Password, Language Interest

[2035] Output: Account creation request

[2036] Step 2:

[2037] The server stores the received information in its database, creates the account, and returns a message to the user confirming registration.

[2038] Specifically, the server uses Flask to receive POST requests, save the user information to the database, and then display a message to the user confirming that their account has been created.

[2039] Input: Account creation request (name, email address, password, language preferences)

[2040] Output: Account creation complete message

[2041] Step 3:

[2042] The server generates a plurality of virtual instructors with different personalities, genders, and regions, and stores their profiles in a database.

[2043] Specifically, the server uses the AI ​​model to generate virtual instructors and stores their profile data in a database. Each virtual instructor is configured with educational content, response scripts, and an emotion engine.

[2044] Input: Virtual instructor creation request

[2045] Output: Virtual instructor profile data

[2046] Step 4:

[2047] The user selects the desired virtual instructor, lesson content, and time, and transmits the selection to the server.

[2048] Specifically, the user selects the desired instructor from a list of virtual instructors within the application, specifies the lesson content and date and time, and presses the "Send Request" button.

[2049] Input: Selected virtual instructor, lesson content, lesson time

[2050] Output: Lesson request

[2051] Step 5:

[2052] The server accepts the user's request, checks availability with the virtual instructor, and provides the user with a link to the class session.

[2053] Specifically, the server checks the virtual instructor's schedule from the database, and if there are no problems, it generates a link to the lesson session and provides it to the user.

[2054] Input: Lesson request

[2055] Output: Link to class session

[2056] Step 6:

[2057] During a class session, the server analyzes what the user says using an emotion recognition engine to identify the user's emotional state in real time.

[2058] Specifically, the server uses Apache OpenNLP and Google Cloud Natural Language API to perform text analysis of the user's speech and identify their emotional state.

[2059] Input: What the user says

[2060] Output: User's emotional state

[2061] Step 7:

[2062] The server adjusts the virtual instructor's responses based on the identified emotional state to provide personalized feedback.

[2063] Specifically, the server selects a response script according to the emotional state, and the virtual instructor provides appropriate feedback.

[2064] Input: User's emotional state

[2065] Output: Personalized feedback

[2066] Step 8:

[2067] After class ends, the server records the user's study time, stores that study time in a database, and shares it.

[2068] Specifically, the server calculates the study time after the lesson ends and stores it in a database.

[2069] Input: End time of class

[2070] Output: Recorded study time

[2071] Step 9:

[2072] In order to reduce educational disparities, the server reallocates the study time used by users as "study time sharing."

[2073] As a specific operation, the server reallocates the recorded learning time and provides learning opportunities to new users.

[2074] Input: Recorded study time

[2075] Output: Reallocation by "study time sharing"

[2076] Step 10:

[2077] The server manages revenue from advertising fees, recruitment agency fees, donations, subsidies, etc., and covers the system's operating costs.

[2078] Specifically, the server records the revenue information in a database and uses it as system operating costs.

[2079] Input: Advertising fees, recruitment agency fees, donations, and subsidy data

[2080] Output: System operating cost management

[2081] 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.

[2082] 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.

[2083] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2084] 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.

[2085] FIG. 9 is a diagram illustrating 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 actions 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.

[2086] 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.

[2087] 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).

[2088] 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.

[2089] 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."

[2090] 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.

[2091] 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).

[2092] 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.

[2093] 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.

[2094] 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.

[2095] 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.

[2096] 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.

[2097] 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.

[2098] 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.

[2099] 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.

[2100] The above-described description and illustrat...

Claims

1. A way for users to access the account creation page, fill out the registration form, and submit it; a means for the server to store the received information in a database and create an account; A means for generating multiple virtual instructors with different personalities, genders, and regions and storing their profiles in a database; A means for a user to select a desired virtual instructor, lesson content, and time, and transmit the selection to a server; a means for the server to accept the user's request, check availability of the virtual instructor, and provide the user with a link to the class session; The server records the user's study time after the class ends, and stores and shares that study time. The server manages revenues such as advertising fees, recruitment agency fees, donations, and subsidies to cover the system's operating costs, A system including:

2. 2. The system according to claim 1, further comprising means for the virtual instructor to analyze the user's utterances in real time and provide appropriate feedback.

3. 2. The system according to claim 1, further comprising means for reallocating the study time used by the user as "study time sharing" in order to reduce educational disparities.

Images