system

Abstract

We provide the system. [Solution] A generative artificial intelligence means that collects user information and personalizes the learning experience based on that information, A means of providing vocational experience using virtual reality technology, A means to automatically set daily goals and manage their progress, A user interface that allows parents to check their child's learning progress, A means of encrypting user data using blockchain technology and storing it securely, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot's character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance that responds to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the modern educational environment, children have difficulty having a specific vision for their future and tend to lose sight of the meaning and purpose of learning. Also, parents find it difficult to find an effective way to draw out their children's interests and support their learning. As a result, there are problems such as a decline in children's learning motivation and a lack of active participation in future planning.

Means for Solving the Problems

[0005] This invention provides a system that offers a personalized learning experience for each user using generative artificial intelligence and enables vocational experiences using virtual reality technology. It also facilitates parent-child communication by automating daily goal setting and progress management, and providing an interface that allows parents to easily check their child's learning progress. Furthermore, user data is protected by blockchain technology to ensure security. These measures enable children to maintain a continuous interest in the future and engage in learning proactively.

[0006] "User information" refers to personally identifiable information and data on interests and characteristics provided by system users.

[0007] "Generative artificial intelligence" refers to artificial intelligence technology that has the ability to analyze input data and automatically generate content and experiences tailored to individual needs.

[0008] "Personalizing the learning experience" refers to customizing the content and methods of learning according to each user's interests and learning style.

[0009] "Virtual reality technology" refers to technology that uses computer-generated virtual spaces and simulations to provide users with experiences similar to reality.

[0010] "Work experience" refers to learning about actual job duties and related skills by experiencing specific occupations or specialized activities through simulations or simulations.

[0011] "Daily goal setting" refers to the process of setting specific goals that users should achieve in their daily activities and learning.

[0012] "Progress management" refers to the process of tracking the degree of achievement against set goals and providing necessary adjustments and feedback.

[0013] "User interface" refers to screens and operating methods that facilitate information exchange between the user and the system.

[0014] A "parent-friendly interface" refers to a specific user interface designed to allow parents to easily view their child's learning progress and provide feedback.

[0015] Blockchain technology refers to a digital technology that encrypts data and stores it securely and immutably on a decentralized network. [Brief explanation of the drawing]

[0016] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0020] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] As shown in Figure 1, the 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.

[0027] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0030] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] As shown in Figure 2, in the data processing device 12, specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0036] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0037] The system of this invention personalizes the learning experience based on information registered by the user, providing an environment where children can think about their future in an enjoyable way. The system generates appropriate learning content and career experiences, taking into account the user's interests and characteristics. This supports continuous motivation and future planning.

[0038] This system consists of terminals, servers, and the network connecting them. Users initiate the registration process through the terminal upon first use. The terminal provides an interface for collecting personal information, interests, and preferred carriers entered by the user.

[0039] The server receives the registered information and records it in a database. Using generative artificial intelligence, the server analyzes the collected user information and generates personalized learning plans and content for each user. This generated content is sent to the device, making it accessible to the user.

[0040] An interface is provided that allows users to record their progress through their daily activities. The server analyzes the progress data and provides appropriate feedback and new goals. As progress is recorded, the server updates a dashboard that parents can view, allowing them to understand their child's learning progress in real time.

[0041] As part of this system, virtual reality-based job experience programs allow users to participate in a virtual environment and learn actual job skills in an enjoyable way. Furthermore, all data is encrypted using blockchain technology for security purposes and stored securely.

[0042] For example, if a child is interested in science, the system provides that child with science-related learning content and a virtual career experience as a scientist. Through this experience, the child gains an environment where they can learn more about science and think concretely about their future.

[0043] This invention allows users to develop a vision for their future careers through learning based on their interests, and enables parents to obtain accurate information to support them. As a result, children's motivation to learn increases, and communication between parents and children is also promoted.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] Users access the account registration screen using their device and enter data regarding their personal information, areas of interest, and desired future occupation.

[0047] Step 2:

[0048] The terminal sends the data provided by the user to the server.

[0049] Step 3:

[0050] The server stores the received user information in a database and invokes a generative artificial intelligence to generate personalized learning plans and content.

[0051] Step 4:

[0052] The server sends the generated learning plan to the terminal, and the terminal provides a user interface to display it to the user.

[0053] Step 5:

[0054] The user accesses learning content on the device and begins learning activities. The device records the user's progress.

[0055] Step 6:

[0056] The server receives learning progress data sent from the terminal and analyzes the user's progress. Then, if necessary, it sets new learning goals and notifies the terminal.

[0057] Step 7:

[0058] For the parent dashboard, the server aggregates the child's progress information, making it available for parents to review. The device displays this information in real time through a parent-facing interface.

[0059] Step 8:

[0060] To ensure the security of user data, the server uses blockchain technology to encrypt and store the data.

[0061] (Example 1)

[0062] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0063] Conventional learning support systems failed to provide learning experiences tailored to individual user interests and characteristics, lacked vocational experiences using virtual reality technology, and had insufficient daily goal management and monitoring of learning progress by parents. Furthermore, the secure storage of data remained a challenge.

[0064] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0065] In this invention, the server includes an information processing device that collects user information and personalizes the learning experience based on that information, an information processing device that provides a work experience using virtual reality technology, and an information processing device that automatically sets daily goals and manages their progress. This provides an individualized educational experience, enables the acquisition of practical skills through virtual work experiences, and supports the achievement of daily goals.

[0066] "User information" refers to data about a user's personal data, interests, and desired career path.

[0067] A "personalized learning experience information processing device" is a device that provides individually tailored learning plans and content based on user information.

[0068] An "information processing device that provides occupational experience using virtual reality technology" is a device that uses virtual reality technology to provide an environment in which users can experience various occupations.

[0069] An "information processing device that automatically sets daily goals and manages their progress" is a device equipped with the function to set the user's daily learning goals and track their achievement.

[0070] A "display device that allows parents to check their child's learning progress" is a device equipped with a parent-friendly interface for checking a child's learning progress in real time.

[0071] An "information processing device that encrypts and securely stores user data using blockchain technology" is a device that has the function of anonymizing and encrypting user data using blockchain technology and storing it securely.

[0072] The system of this invention consists of terminals, servers, and a network connecting them. Users begin by registering their information with the system using the terminal. The terminal provides an interface for collecting personal information, interests, and career aspirations entered by the user.

[0073] The server receives user information transmitted from the terminal and accurately records it in a database. A generative AI model within the server analyzes this information and generates individualized learning plans and content based on the user's characteristics. The generated content is sent to the terminal, allowing the user to access and proceed with their learning.

[0074] Users can record their daily activity progress via their device. The server analyzes this data and provides feedback and new goals tailored to their learning progress. This progress data is updated on a dashboard that parents can view, allowing them to track their child's learning progress in real time.

[0075] The program also offers career experiences using virtual reality technology. Users can access a virtual environment through their devices and simulate actual work experiences, learning skills while having fun. This allows users to gain a more practical understanding of their interests and career choices.

[0076] Furthermore, all user data is encrypted using blockchain technology and stored securely to ensure maximum security.

[0077] As a concrete example, if a user expresses interest in science, the system will provide science-related learning content and virtual career experiences tailored to that user. An example of a prompt to the generative AI model could be: "A 10-year-old user is interested in science. Please suggest the best science learning plan and related virtual career experiences for this user."

[0078] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0079] Step 1:

[0080] The user enters registration information using the terminal's interface. This information includes the user's name, age, interests, and preferred carrier. The terminal compiles this information into data packets and prepares for the next step.

[0081] Step 2:

[0082] The terminal sends information obtained from the user to the server. The server verifies the received information and records it in a database. The input data is individual user information, and the output is an organized user profile.

[0083] Step 3:

[0084] The server analyzes user profiles using a generative AI model. Specifically, it generates prompt sentences and inputs them into the AI ​​model. This analysis creates a learning plan and content tailored to the user. Personalized learning content is generated as output.

[0085] Step 4:

[0086] The generated learning content is sent from the server to the terminal. The terminal displays this content to the user, who can then access it and proceed with their learning.

[0087] Step 5:

[0088] Users record their learning progress daily on their devices. The input consists of data on the user's learning activities, which the device then organizes and sends to the server. The output is an updated progress log.

[0089] Step 6:

[0090] The server analyzes the user's progress data and generates feedback and new learning goals. The output presents appropriate feedback information and new goals. These are then presented to the user again via the terminal, reinforcing the learning process.

[0091] Step 7:

[0092] If the user requests it, they can begin a virtual reality job experience through their device. Here, data provided by the server is used for the virtual reality simulation, allowing the user to experience a virtual job.

[0093] Step 8:

[0094] All user data is encrypted using blockchain technology on the server to enhance security and is stored securely. All training data is input, and the output is stored as encrypted data.

[0095] (Application Example 1)

[0096] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0097] Traditional learning experiences have been uniform and have difficulty providing learning that reflects individual interests. Furthermore, parents and guardians lacked detailed means to track their children's learning progress, and there was a lack of motivation for children to learn independently through interactive experiences. In addition, from a data security perspective, the protection of personal information remains inadequate. Solving these problems is essential.

[0098] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0099] In this invention, the server includes a generative artificial intelligence means for collecting user attributes and personalizing the educational experience based on that data, a means for providing vocational experiences using virtual space technology, and a means for displaying educational content in real time using a visual display device for providing an interactive learning experience. This allows children to experience learning that suits their interests and progress, and parents and guardians can check their progress in real time. Furthermore, a high level of data security is maintained.

[0100] "User attributes" refer to information and characteristics unique to each individual user, and are a collection of data used to personalize the learning experience based on this information.

[0101] "Generative artificial intelligence means" refers to a method that uses artificial intelligence technology to analyze user attributes and generate personalized educational content and experiences based on those attributes.

[0102] "Virtual space technology" is a technology that uses computer-generated simulations to provide users with virtual environments and situations that they can experience as if they were reality.

[0103] A "visual display device" is a device used to present visual information to users and plays an important role in supporting interactive learning experiences in physical stores.

[0104] "Educational content" refers to information and learning materials designed to improve learners' knowledge and skills, and the learning experience is realized when this content is provided in various formats.

[0105] "Real-time" refers to a temporal concept where specific processing or information provision is performed immediately without delay, enabling users to instantly experience or obtain information on the spot.

[0106] "Data security" refers to a state in which personal information and other confidential data are protected from unauthorized access and misuse, and is an important element in protecting user privacy.

[0107] The system for implementing this invention incorporates a program that personalizes user attributes and provides an interactive learning experience. The user first inputs information about their interests and future career aspirations via a terminal. This information is transmitted to a server via a network and stored in a database.

[0108] The server analyzes user attributes submitted using a generative AI model and generates educational content optimized for each user. This generated content is presented in real time through visual display devices (e.g., smart glasses or projectors) placed in physical environments such as retail stores. In this process, visual display devices such as Microsoft® HoloLens® are used, providing users with a seamless interactive experience.

[0109] Furthermore, the server monitors the user's learning progress in real time, and progress data is provided through an interface for parents and guardians. All data is encrypted using distributed ledger technology and stored securely, protecting user privacy.

[0110] For example, if a child interested in science sees a DNA model in a store through a visual display, detailed educational content about the structure of DNA will be displayed in real time. This will be followed by an explanation generated by AI, deepening the child's understanding. An example of an AI-generated prompt would be, "This child is interested in science. Please generate a way to explain the DNA model in an easy-to-understand way."

[0111] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0112] Step 1:

[0113] The device receives data from the user regarding their interests and career aspirations as input, and collects information through its interface. This input data provides a detailed representation of the user's interests and characteristics, and the obtained data is transmitted to a server via the network.

[0114] Step 2:

[0115] The server inputs received user data into a generating AI model to generate learning content optimized for the user. The generating AI model analyzes the user's attribute data and creates content based on their interests. The resulting learning content is aligned with the user's interests.

[0116] Step 3:

[0117] The server transmits the generated learning content to visual display devices, such as smart glasses, placed in physical stores. The display devices, receiving the content as input, provide users with a real-time, interactive educational experience. As output, visualized educational content is presented to the user.

[0118] Step 4:

[0119] Users experience content provided through a visual display device and gain progress. User actions and responses are collected by sensors, and this data is sent back to the terminal as input. The terminal transmits the user's interaction data to a server via the network.

[0120] Step 5:

[0121] The server analyzes user progress data and displays the information in real time through an interface for parents or guardians. Using the analysis results as input, parents can check their child's learning progress via a provided dashboard. As a result, appropriate feedback can be provided to parents.

[0122] Step 6:

[0123] All user data is encrypted and securely stored by the server using distributed ledger technology. In this step, user data is input and processed using blockchain technology, resulting in securely stored data as output.

[0124] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0125] The system of this invention provides a learning support environment equipped with emotion recognition capabilities, designed to enable children to learn and understand careers more effectively. By incorporating an emotion engine, this system enables dynamic content delivery and feedback that responds to the user's emotional state.

[0126] First, users register an account using their device, entering personal information, interests, and career aspirations. This process creates a user profile, which is then sent to the server. The server stores the user data in a database and uses generative artificial intelligence to generate personalized learning plans and career experience content.

[0127] In addition, the emotion engine can analyze the user's emotions. This is done, for example, by analyzing the user's facial expressions and tone of voice in real time through camera or voice input. This allows the server to recognize the user's current emotional state and adjust the learning experience based on that information. For example, if a user is feeling frustrated, the system can adjust the difficulty level of the content or send encouraging messages.

[0128] Furthermore, the parent interface also provides feedback incorporating emotional data. Parents can monitor their child's learning progress, including their emotional state, and provide advice and support based on that data. This further strengthens communication between parents and children.

[0129] For example, if a child is struggling to understand a math problem, the emotion engine detects the user's stress level and adjusts the difficulty level, switching to an easier problem. Conversely, if the user shows high concentration and understanding, it provides a more difficult challenge.

[0130] This invention allows users to experience individually customized learning and provides parents with information to effectively support their children. The introduction of an emotional engine enables a deeper learning experience and more flexible responses, thereby improving the quality of education and support.

[0131] The following describes the processing flow.

[0132] Step 1:

[0133] Users access the account creation screen using their device and enter data regarding their personal information, areas of interest, and desired future occupations.

[0134] Step 2:

[0135] The terminal sends the information entered by the user to the server. The server receives this data and stores it in a database.

[0136] Step 3:

[0137] The server uses generative artificial intelligence to generate personalized learning plans and career experience programs based on user information. The generated content is associated with the user's profile.

[0138] Step 4:

[0139] The emotion engine analyzes the user's emotional state in real time through the device's camera and microphone.

[0140] Step 5:

[0141] Based on the emotion data received from the emotion engine, the server automatically adjusts the content and difficulty level of the learning materials according to the user's current emotional state.

[0142] Step 6:

[0143] The device provides user-optimized learning content and enables users to engage in an interactive learning experience.

[0144] Step 7:

[0145] As the user's learning progresses, the device continuously monitors their emotional state in real time and sends new data to the server each time.

[0146] Step 8:

[0147] The server continuously analyzes updated sentiment data and learning progress, and prepares customized feedback for parents as needed. This allows parents to check their child's status and progress through a dashboard.

[0148] Step 9:

[0149] User data is encrypted and stored on the server using blockchain technology to ensure security.

[0150] (Example 2)

[0151] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0152] Traditional education systems have a problem in that they provide uniform content without considering the individual needs and emotional states of students, thus failing to maximize learning effectiveness. Furthermore, it has been difficult for parents to understand their children's learning progress and provide adequate support.

[0153] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0154] In this invention, the server includes means for users to register an account using an input device and generate a personal profile; means for generating an individualized learning plan and career experience based on the user profile using an artificial intelligence model; and means for identifying the user's emotional state using an emotion engine that analyzes the user's facial expressions and voice data, and dynamically adjusting the learning experience. This enables the provision of an individualized learning experience and effective support from parents.

[0155] "User information" refers to data such as personal information, interests, and career aspirations that users enter into the system.

[0156] A "generative artificial intelligence model" is a program that uses artificial intelligence technology to generate learning plans and career experiences based on a user's profile.

[0157] An "emotion engine" is a technology that analyzes a user's facial expressions and voice data to identify their emotional state.

[0158] An "input device" is a device used by a user to input information into a system, and includes keyboards, mice, touchscreens, and other similar devices.

[0159] An "individualized learning plan" refers to learning content and schedules that are customized based on the user's individual needs and interests.

[0160] "Career experience" is a feature that provides users with simulations and experiential activities related to occupations they are interested in.

[0161] "Dynamic adjustment" refers to changing learning content and difficulty levels in real time according to the situation, in order to provide the optimal learning environment.

[0162] A "parent interface" is a screen or application used by parents to monitor their child's learning progress and emotional state, and to provide appropriate support.

[0163] To implement this invention, a system is required in which various hardware and software components work together. First, the user registers an account using a terminal and inputs personal information, interests, and career aspirations. The terminal sends this information to a server, which stores the received data in a database. This process generates a user profile.

[0164] Next, the server uses a generative artificial intelligence model to generate personalized learning plans and career experience content based on the stored user profile. This AI model is a computer program that creates relevant learning materials and assignments, taking into account the user's interests and career aspirations. The generated content is sent to the terminal and made available to the user for learning.

[0165] In addition, the device uses its camera and microphone to supply the user's facial expressions and voice data to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. The server receives feedback from the emotion engine and dynamically adjusts the learning experience based on the user's emotional state. For example, if the user is feeling frustrated, the difficulty of the task can be lowered or an encouraging message can be sent.

[0166] Furthermore, a parent-friendly interface is provided to help parents understand their child's learning progress, allowing them to view learning data, including their child's emotional state. This interface enables parents to effectively support their children based on the information they gather.

[0167] For example, if a child is using a device to study math problems, and the emotion engine detects the user's stress, the server will immediately switch to an easier problem. Conversely, if the system determines that the child is highly focused and understanding, it will intelligently provide a more difficult challenge.

[0168] Examples of prompts include, "Generate an appropriate feedback message when a child is feeling frustrated," and "Provide an example of the next challenging task to offer a user who demonstrates high concentration."

[0169] Through the system described above, it is possible to provide learning and career experiences optimized for each individual user, and to create an environment where parents can effectively provide support.

[0170] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0171] Step 1:

[0172] The user uses their device to enter personal information, interests, and career aspirations into a registration form and submits it. This input data is sent to the server as foundational information used in subsequent processing. The server receives this data and stores it in a database as a user profile. Specific operations include facilitating input using the device's form input function and transferring data from the device to the server.

[0173] Step 2:

[0174] The server generates learning plans and career experience content using a generative artificial intelligence model based on stored user profiles. This process analyzes user profile data as input and outputs personalized learning content. Specifically, the AI ​​model automatically generates a learning curriculum tailored to the user's interests and career aspirations.

[0175] Step 3:

[0176] The device collects facial and audio data in real time via the camera and microphone while the user is learning, and supplies it to the emotion engine. This input data is used to analyze the user's emotions. The device collects data for emotion analysis and outputs the user's emotional state as the analysis result. The specific operations are video and audio data capture and transfer of the data to the emotion engine.

[0177] Step 4:

[0178] The server retrieves analysis results from the emotion engine and dynamically adjusts the difficulty level of the learning content and feedback messages. In this step, the emotion analysis results are used as input, and content or messages appropriate to the user's state are output. Specifically, this includes providing users who are stressed with problems of lower difficulty and displaying messages of gratitude and encouragement.

[0179] Step 5:

[0180] Parents use a parent interface to check their child's learning progress and emotional data. The interface displays data provided by the server. This process takes learning and emotional data from the server as input and outputs parental support information. Specific actions include viewing learning progress through the interface and providing feedback.

[0181] In this way, throughout each step, the system supports an individualized learning experience and smooth communication between parents and children.

[0182] (Application Example 2)

[0183] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0184] Conventional learning support systems have been unable to grasp the emotional state of users, making it difficult to provide an optimal learning experience tailored to individual learners. Furthermore, when collaborating with machines such as robots, the inability to understand the emotions and concentration levels of workers and appropriately adjust the work content has made it difficult to create an efficient work environment. Therefore, there is a need to develop a system that solves these problems and dynamically adjusts learning and work processes based on the emotions of users and workers.

[0185] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0186] In this invention, the server includes intelligent means for collecting user information and personalizing the learning experience based on that information, means for analyzing environmental input acquired from the device and dynamically adjusting the work content based on the emotional state, and a display device that allows parents to check the child's learning progress. This makes it possible to grasp the user's emotions in real time and provide an individualized learning experience and work support.

[0187] "User information" refers to personal data about users, which is necessary for personalizing learning and optimizing tasks.

[0188] "Emotional state" refers to the type and intensity of emotions determined from the user's facial expressions, voice, etc., and is used to adjust learning and tasks.

[0189] "Intelligent means" refers to elements that utilize artificial intelligence technology to generate personalized experiences and content based on user information.

[0190] "Environmental input" refers to data acquired from devices such as cameras and microphones, and serves as fundamental data for analyzing the user's emotional state.

[0191] A "display device" is an interface that visually presents learning progress and feedback to users and their guardians.

[0192] A "dynamic adjustment mechanism" refers to a function that allows content and tasks to be changed on the spot based on the user's real-time emotional state.

[0193] "Personalizing" means adjusting the service content to suit the individual user's characteristics and needs, in order to provide the optimal experience.

[0194] The system for realizing this invention includes a server, a user terminal, and a display device. The server uses an AI model generated as an intelligent means to personalize the learning experience based on user information. In this process, the server uses user data stored on the platform to dynamically generate educational content optimized for each individual. In addition, it analyzes data collected from the camera and microphone installed in the user terminal as environmental input to recognize the user's emotional state in real time. This recognition uses facial recognition software, voice analysis tools, and specifically open-source libraries.

[0195] The display device provides visual feedback created based on the analyzed data. This makes it easier for parents to check their child's learning progress and emotional data through the display device and provide support and advice as needed. For example, if a user is experiencing frustration, the system will either lower the difficulty level or notify the parent to encourage additional support.

[0196] As a concrete example, consider a scenario where a robot in a factory monitors the state of a worker. In this case, the server can adjust the workload based on the analyzed emotional data, thereby improving work efficiency. By inputting a prompt such as, "What emotional state is this worker showing? Please suggest specific actions," into the AI ​​model, it can generate optimal action suggestions tailored to the work situation.

[0197] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0198] Step 1:

[0199] This stage involves collecting user information from the user's terminal. The user uses the terminal to input personal data and areas of interest, and this data is sent to the server. This input data is used as basic information for generating the user profile.

[0200] Step 2:

[0201] The server receives data sent from the user and uses a generative AI model to personalize the learning content. At this stage, it performs data calculations to generate content that provides the optimal learning experience based on the user profile, and saves the results as output.

[0202] Step 3:

[0203] This step involves using the user's device's camera and microphone to collect user facial expressions and voice data in real time. This input data is used as basic information for analyzing the user's emotional state.

[0204] Step 4:

[0205] The server analyzes the acquired environmental input data to recognize the user's emotional state. This analysis utilizes facial recognition and voice analysis technologies, and a generative AI model is involved to produce detailed emotional data as output.

[0206] Step 5:

[0207] The server dynamically adjusts learning content and work tasks based on the analyzed emotion data. In this process, for example, if frustration is detected, the difficulty level of the content is reduced, and new instructions and content are output.

[0208] Step 6:

[0209] A display device for parents visually presents learning progress and user emotion data. At this stage, information output from the server is read and used to support parental support activities.

[0210] Step 7:

[0211] As a concrete example, the server uses a generative AI model to devise and output the optimal response based on the work situation, based on a prompt such as, "What emotional state is this worker showing? Please suggest specific actions."

[0212] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0213] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0214] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0215] [Second Embodiment]

[0216] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0217] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0218] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0219] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0220] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0221] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0222] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0223] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0224] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0225] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0226] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0227] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0228] The system of this invention personalizes the learning experience based on information registered by the user, providing an environment where children can think about their future in an enjoyable way. The system generates appropriate learning content and career experiences, taking into account the user's interests and characteristics. This supports continuous motivation and future planning.

[0229] This system consists of terminals, servers, and the network connecting them. Users initiate the registration process through the terminal upon first use. The terminal provides an interface for collecting personal information, interests, and preferred carriers entered by the user.

[0230] The server receives the registered information and records it in a database. Using generative artificial intelligence, the server analyzes the collected user information and generates personalized learning plans and content for each user. This generated content is sent to the device, making it accessible to the user.

[0231] An interface is provided that allows users to record their progress through their daily activities. The server analyzes the progress data and provides appropriate feedback and new goals. As progress is recorded, the server updates a dashboard that parents can view, allowing them to understand their child's learning progress in real time.

[0232] As part of this system, virtual reality-based job experience programs allow users to participate in a virtual environment and learn actual job skills in an enjoyable way. Furthermore, all data is encrypted using blockchain technology for security purposes and stored securely.

[0233] For example, if a child is interested in science, the system provides that child with science-related learning content and a virtual career experience as a scientist. Through this experience, the child gains an environment where they can learn more about science and think concretely about their future.

[0234] This invention allows users to develop a vision for their future careers through learning based on their interests, and enables parents to obtain accurate information to support them. As a result, children's motivation to learn increases, and communication between parents and children is also promoted.

[0235] The following describes the processing flow.

[0236] Step 1:

[0237] Users access the account registration screen using their device and enter data regarding their personal information, areas of interest, and desired future occupation.

[0238] Step 2:

[0239] The terminal sends the data provided by the user to the server.

[0240] Step 3:

[0241] The server stores the received user information in a database and invokes a generative artificial intelligence to generate personalized learning plans and content.

[0242] Step 4:

[0243] The server sends the generated learning plan to the terminal, and the terminal provides a user interface to display it to the user.

[0244] Step 5:

[0245] The user accesses learning content on the device and begins learning activities. The device records the user's progress.

[0246] Step 6:

[0247] The server receives learning progress data sent from the terminal and analyzes the user's progress. Then, if necessary, it sets new learning goals and notifies the terminal.

[0248] Step 7:

[0249] For the parent dashboard, the server aggregates the child's progress information, making it available for parents to review. The device displays this information in real time through a parent-facing interface.

[0250] Step 8:

[0251] To ensure the security of user data, the server uses blockchain technology to encrypt and store the data.

[0252] (Example 1)

[0253] Next, we will describe Example 1. 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."

[0254] Conventional learning support systems failed to provide learning experiences tailored to individual user interests and characteristics, lacked vocational experiences using virtual reality technology, and had insufficient daily goal management and monitoring of learning progress by parents. Furthermore, the secure storage of data remained a challenge.

[0255] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0256] In this invention, the server includes an information processing device that collects user information and personalizes the learning experience based on that information, an information processing device that provides a work experience using virtual reality technology, and an information processing device that automatically sets daily goals and manages their progress. This provides an individualized educational experience, enables the acquisition of practical skills through virtual work experiences, and supports the achievement of daily goals.

[0257] "User information" refers to data about a user's personal data, interests, and desired career path.

[0258] A "personalized learning experience information processing device" is a device that provides individually tailored learning plans and content based on user information.

[0259] An "information processing device that provides occupational experience using virtual reality technology" is a device that uses virtual reality technology to provide an environment in which users can experience various occupations.

[0260] An "information processing device that automatically sets daily goals and manages their progress" is a device equipped with the function to set the user's daily learning goals and track their achievement.

[0261] A "display device that allows parents to check their child's learning progress" is a device equipped with a parent-friendly interface for checking a child's learning progress in real time.

[0262] An "information processing device that encrypts and securely stores user data using blockchain technology" is a device that has the function of anonymizing and encrypting user data using blockchain technology and storing it securely.

[0263] The system of this invention consists of terminals, servers, and a network connecting them. Users begin by registering their information with the system using the terminal. The terminal provides an interface for collecting personal information, interests, and career aspirations entered by the user.

[0264] The server receives user information transmitted from the terminal and accurately records it in a database. A generative AI model within the server analyzes this information and generates individualized learning plans and content based on the user's characteristics. The generated content is sent to the terminal, allowing the user to access and proceed with their learning.

[0265] Users can record their daily activity progress via their device. The server analyzes this data and provides feedback and new goals tailored to their learning progress. This progress data is updated on a dashboard that parents can view, allowing them to track their child's learning progress in real time.

[0266] The program also offers career experiences using virtual reality technology. Users can access a virtual environment through their devices and simulate actual work experiences, learning skills while having fun. This allows users to gain a more practical understanding of their interests and career choices.

[0267] Furthermore, all user data is encrypted using blockchain technology and stored securely to ensure maximum security.

[0268] As a concrete example, if a user expresses interest in science, the system will provide science-related learning content and virtual career experiences tailored to that user. An example of a prompt to the generative AI model could be: "A 10-year-old user is interested in science. Please suggest the best science learning plan and related virtual career experiences for this user."

[0269] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0270] Step 1:

[0271] The user enters registration information using the terminal's interface. This information includes the user's name, age, interests, and preferred carrier. The terminal compiles this information into data packets and prepares for the next step.

[0272] Step 2:

[0273] The terminal sends information obtained from the user to the server. The server verifies the received information and records it in a database. The input data is individual user information, and the output is an organized user profile.

[0274] Step 3:

[0275] The server analyzes the user profile using a generative AI model. Specifically, it generates a prompt text and inputs it into the AI model. Through this analysis, a learning plan and content suitable for the user are created. As output, individualized learning content is generated.

[0276] Step 4:

[0277] The generated learning content is sent from the server to the terminal. The terminal displays this to the user, and the user can access these contents and proceed with learning.

[0278] Step 5:

[0279] The user records the progress of learning on the terminal daily. Here, the data input is the data of the user's learning activities, and the terminal organizes this and sends it to the server. As output, the progress log is updated.

[0280] Step 6:

[0281] The server analyzes the user's progress data and generates feedback and new learning goals. As output, appropriate feedback information and new goals are presented. These are presented to the user again through the terminal, strengthening the learning process.

[0282] Step 7:

[0283] If the user wishes, they can start a virtual reality-based job experience through the terminal. Here, the data provided by the server is used for the virtual reality simulation, and the user can conduct a virtual job experience.

[0284] Step 8:

[0285] All user data is encrypted using blockchain technology on the server to enhance security and stored securely. The input is all learning data, and as output, the encrypted data is stored.

[0286] (Application Example 1)

[0287] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0288] The conventional learning experience has a problem that it is uniform and it is difficult to provide learning that reflects individual interests. Also, parents and guardians lack means to grasp the learning progress of children in detail, and there is a lack of motivation for children to learn independently through an interactive experience. Furthermore, from the perspective of data security, the situation where personal information protection is not sufficient continues. It is required to solve these problems.

[0289] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0290] In this invention, the server includes a generation artificial intelligence means for collecting user attributes and individualizing an educational experience based on the data, a means for providing a vocational experience using virtual space technology, and a means for displaying educational content in real time using a visual display device for providing an interactive learning experience. Thereby, children can experience learning that suits their interests and progress, and parents and guardians can confirm the progress in real time. Also, the data security is highly maintained.

[0291] "User attributes" refers to information and characteristics unique to each user, and is a set of data used to individualize the learning experience based on this.

[0292] "Generation artificial intelligence means" is a method using artificial intelligence technology for analyzing user attributes and generating individualized educational content and experiences based on them.

[0293] "Virtual space technology" is a technology that uses computer-generated simulations to provide users with virtual environments and situations that they can experience as if they were reality.

[0294] A "visual display device" is a device used to present visual information to users and plays an important role in supporting interactive learning experiences in physical stores.

[0295] "Educational content" refers to information and learning materials designed to improve learners' knowledge and skills, and the learning experience is realized when this content is provided in various formats.

[0296] "Real-time" refers to a temporal concept where specific processing or information provision is performed immediately without delay, enabling users to instantly experience or obtain information on the spot.

[0297] "Data security" refers to a state in which personal information and other confidential data are protected from unauthorized access and misuse, and is an important element in protecting user privacy.

[0298] The system for implementing this invention incorporates a program that personalizes user attributes and provides an interactive learning experience. The user first inputs information about their interests and future career aspirations via a terminal. This information is transmitted to a server via a network and stored in a database.

[0299] The server analyzes user attributes submitted using a generative AI model and generates educational content optimized for each user. This generated content is presented in real time through visual display devices (e.g., smart glasses or projectors) placed in physical environments such as retail stores. In this process, visual display devices such as Microsoft HoloLens are used, providing users with a seamless interactive experience.

[0300] In addition, the server monitors the user's learning progress in real time, and the progress data is provided through an interface for parents and guardians. All data is encrypted using distributed ledger technology and stored securely to protect the user's privacy.

[0301] As a specific example, when a child interested in science views a DNA model through a visual display device in a store, detailed educational content related to the structure of DNA is displayed in real time. Then, an explanation generated by AI follows, which can deepen the child's understanding. Also, examples of AI-generated prompt sentences include "This child is interested in science. Please generate an easy-to-understand explanation about the DNA model."

[0302] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0303] Step 1:

[0304] The terminal receives data related to the user's interests and career aspirations from the user as input and collects information through the interface. This input data details the user's interests and characteristics, and the obtained data is transmitted to the server via the network.

[0305] Step 2:

[0306] The server inputs the received user data into the generative AI model to generate learning content optimized for the user. The generative AI model analyzes the user's attribute data and creates content based on the interests. The learning content obtained as output matches the user's interests.

[0307] Step 3:

[0308] The server transmits the generated learning content to visual display devices, such as smart glasses, placed in physical stores. The display devices, receiving the content as input, provide users with a real-time, interactive educational experience. As output, visualized educational content is presented to the user.

[0309] Step 4:

[0310] Users experience content provided through a visual display device and gain progress. User actions and responses are collected by sensors, and this data is sent back to the terminal as input. The terminal transmits the user's interaction data to a server via the network.

[0311] Step 5:

[0312] The server analyzes user progress data and displays the information in real time through an interface for parents or guardians. Using the analysis results as input, parents can check their child's learning progress via a provided dashboard. As a result, appropriate feedback can be provided to parents.

[0313] Step 6:

[0314] All user data is encrypted and securely stored by the server using distributed ledger technology. In this step, user data is input and processed using blockchain technology, resulting in securely stored data as output.

[0315] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0316] The system of this invention provides a learning support environment equipped with emotion recognition capabilities, designed to enable children to learn and understand careers more effectively. By incorporating an emotion engine, this system enables dynamic content delivery and feedback that responds to the user's emotional state.

[0317] First, users register an account using their device, entering personal information, interests, and career aspirations. This process creates a user profile, which is then sent to the server. The server stores the user data in a database and uses generative artificial intelligence to generate personalized learning plans and career experience content.

[0318] In addition, the emotion engine can analyze the user's emotions. This is done, for example, by analyzing the user's facial expressions and tone of voice in real time through camera or voice input. This allows the server to recognize the user's current emotional state and adjust the learning experience based on that information. For example, if a user is feeling frustrated, the system can adjust the difficulty level of the content or send encouraging messages.

[0319] Furthermore, the parent interface also provides feedback incorporating emotional data. Parents can monitor their child's learning progress, including their emotional state, and provide advice and support based on that data. This further strengthens communication between parents and children.

[0320] For example, if a child is struggling to understand a math problem, the emotion engine detects the user's stress level and adjusts the difficulty level, switching to an easier problem. Conversely, if the user shows high concentration and understanding, it provides a more difficult challenge.

[0321] This invention allows users to experience individually customized learning and provides parents with information to effectively support their children. The introduction of an emotional engine enables a deeper learning experience and more flexible responses, thereby improving the quality of education and support.

[0322] The following describes the processing flow.

[0323] Step 1:

[0324] Users access the account creation screen using their device and enter data regarding their personal information, areas of interest, and desired future occupations.

[0325] Step 2:

[0326] The terminal sends the information entered by the user to the server. The server receives this data and stores it in a database.

[0327] Step 3:

[0328] The server uses generative artificial intelligence to generate personalized learning plans and career experience programs based on user information. The generated content is associated with the user's profile.

[0329] Step 4:

[0330] The emotion engine analyzes the user's emotional state in real time through the device's camera and microphone.

[0331] Step 5:

[0332] Based on the emotion data received from the emotion engine, the server automatically adjusts the content and difficulty level of the learning materials according to the user's current emotional state.

[0333] Step 6:

[0334] The device provides user-optimized learning content and enables users to engage in an interactive learning experience.

[0335] Step 7:

[0336] As the user's learning progresses, the device continuously monitors their emotional state in real time and sends new data to the server each time.

[0337] Step 8:

[0338] The server continuously analyzes updated sentiment data and learning progress, and prepares customized feedback for parents as needed. This allows parents to check their child's status and progress through a dashboard.

[0339] Step 9:

[0340] User data is encrypted and stored on the server using blockchain technology to ensure security.

[0341] (Example 2)

[0342] Next, we will describe Example 2. 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".

[0343] Traditional education systems have a problem in that they provide uniform content without considering the individual needs and emotional states of students, thus failing to maximize learning effectiveness. Furthermore, it has been difficult for parents to understand their children's learning progress and provide adequate support.

[0344] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0345] In this invention, the server includes means for users to register an account using an input device and generate a personal profile; means for generating personalized learning plans and career experiences based on the user profile using an artificial intelligence model; and means for identifying emotional states using an emotion engine that analyzes the user's facial expressions and voice data, and dynamically adjusting the learning experience. This enables the provision of personalized learning experiences and effective support from parents.

[0346] "User information" refers to data such as personal information, interests, and career aspirations that users enter into the system.

[0347] A "generative artificial intelligence model" is a program that uses artificial intelligence technology to generate learning plans and career experiences based on a user's profile.

[0348] An "emotion engine" is a technology that analyzes a user's facial expressions and voice data to identify their emotional state.

[0349] An "input device" is a device used by a user to input information into a system, and includes keyboards, mice, touchscreens, and other similar devices.

[0350] An "individualized learning plan" refers to learning content and schedules that are customized based on the user's individual needs and interests.

[0351] "Career experience" is a feature that provides users with simulations and experiential activities related to occupations they are interested in.

[0352] "Dynamic adjustment" refers to changing learning content and difficulty levels in real time according to the situation, in order to provide the optimal learning environment.

[0353] A "parent interface" is a screen or application used by parents to monitor their child's learning progress and emotional state, and to provide appropriate support.

[0354] To implement this invention, a system is required in which various hardware and software components work together. First, the user registers an account using a terminal and inputs personal information, interests, and career aspirations. The terminal sends this information to a server, which stores the received data in a database. This process generates a user profile.

[0355] Next, the server uses a generative artificial intelligence model to generate personalized learning plans and career experience content based on the stored user profile. This AI model is a computer program that creates relevant learning materials and assignments, taking into account the user's interests and career aspirations. The generated content is sent to the terminal and made available to the user for learning.

[0356] In addition, the device uses its camera and microphone to supply the user's facial expressions and voice data to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. The server receives feedback from the emotion engine and dynamically adjusts the learning experience based on the user's emotional state. For example, if the user is feeling frustrated, the difficulty of the task can be lowered or an encouraging message can be sent.

[0357] Furthermore, a parent-friendly interface is provided to help parents understand their child's learning progress, allowing them to view learning data, including their child's emotional state. This interface enables parents to effectively support their children based on the information they gather.

[0358] For example, if a child is using a device to study math problems, and the emotion engine detects the user's stress, the server will immediately switch to an easier problem. Conversely, if the system determines that the child is highly focused and understanding, it will intelligently provide a more difficult challenge.

[0359] Examples of prompts include, "Generate an appropriate feedback message when a child is feeling frustrated," and "Provide an example of the next challenging task to offer a user who demonstrates high concentration."

[0360] Through the system described above, it is possible to provide learning and career experiences optimized for each individual user, and to create an environment where parents can effectively provide support.

[0361] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0362] Step 1:

[0363] The user uses their device to enter personal information, interests, and career aspirations into a registration form and submits it. This input data is sent to the server as foundational information used in subsequent processing. The server receives this data and stores it in a database as a user profile. Specific operations include facilitating input using the device's form input function and transferring data from the device to the server.

[0364] Step 2:

[0365] The server generates learning plans and career experience content using a generative artificial intelligence model based on stored user profiles. This process analyzes user profile data as input and outputs personalized learning content. Specifically, the AI ​​model automatically generates a learning curriculum tailored to the user's interests and career aspirations.

[0366] Step 3:

[0367] The device collects facial and audio data in real time via the camera and microphone while the user is learning, and supplies it to the emotion engine. This input data is used to analyze the user's emotions. The device collects data for emotion analysis and outputs the user's emotional state as the analysis result. The specific operations are video and audio data capture and transfer of the data to the emotion engine.

[0368] Step 4:

[0369] The server retrieves analysis results from the emotion engine and dynamically adjusts the difficulty level of the learning content and feedback messages. In this step, the emotion analysis results are used as input, and content or messages appropriate to the user's state are output. Specifically, this includes providing users who are stressed with problems of lower difficulty and displaying messages of gratitude and encouragement.

[0370] Step 5:

[0371] Parents use a parent interface to check their child's learning progress and emotional data. The interface displays data provided by the server. This process takes learning and emotional data from the server as input and outputs parental support information. Specific actions include viewing learning progress through the interface and providing feedback.

[0372] In this way, throughout each step, the system supports an individualized learning experience and smooth communication between parents and children.

[0373] (Application Example 2)

[0374] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0375] Conventional learning support systems have been unable to grasp the emotional state of users, making it difficult to provide an optimal learning experience tailored to individual learners. Furthermore, when collaborating with machines such as robots, the inability to understand the emotions and concentration levels of workers and appropriately adjust the work content has made it difficult to create an efficient work environment. Therefore, there is a need to develop a system that solves these problems and dynamically adjusts learning and work processes based on the emotions of users and workers.

[0376] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0377] In this invention, the server includes intelligent means for collecting user information and personalizing the learning experience based on that information, means for analyzing environmental input acquired from the device and dynamically adjusting the work content based on the emotional state, and a display device that allows parents to check the child's learning progress. This makes it possible to grasp the user's emotions in real time and provide an individualized learning experience and work support.

[0378] "User information" refers to personal data about users, which is necessary for personalizing learning and optimizing tasks.

[0379] "Emotional state" refers to the type and intensity of emotions determined from the user's facial expressions, voice, etc., and is used to adjust learning and tasks.

[0380] "Intelligent means" refers to elements that utilize artificial intelligence technology to generate personalized experiences and content based on user information.

[0381] "Environmental input" refers to data acquired from devices such as cameras and microphones, and serves as fundamental data for analyzing the user's emotional state.

[0382] A "display device" is an interface that visually presents learning progress and feedback to users and their guardians.

[0383] A "dynamic adjustment mechanism" refers to a function that allows content and tasks to be changed on the spot based on the user's real-time emotional state.

[0384] "Personalizing" means adjusting the service content to suit the individual user's characteristics and needs, in order to provide the optimal experience.

[0385] The system for realizing this invention includes a server, a user terminal, and a display device. The server uses an AI model generated as an intelligent means to personalize the learning experience based on user information. In this process, the server uses user data stored on the platform to dynamically generate educational content optimized for each individual. In addition, it analyzes data collected from the camera and microphone installed in the user terminal as environmental input to recognize the user's emotional state in real time. This recognition uses facial recognition software, voice analysis tools, and specifically open-source libraries.

[0386] The display device provides visual feedback created based on the analyzed data. This makes it easier for parents to check their child's learning progress and emotional data through the display device and provide support and advice as needed. For example, if a user is experiencing frustration, the system will either lower the difficulty level or notify the parent to encourage additional support.

[0387] As a concrete example, consider a scenario where a robot in a factory monitors the state of a worker. In this case, the server can adjust the workload based on the analyzed emotional data, thereby improving work efficiency. By inputting a prompt such as, "What emotional state is this worker showing? Please suggest specific actions," into the AI ​​model, it can generate optimal action suggestions tailored to the work situation.

[0388] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0389] Step 1:

[0390] This stage involves collecting user information from the user's terminal. The user uses the terminal to input personal data and areas of interest, and this data is sent to the server. This input data is used as basic information for generating the user profile.

[0391] Step 2:

[0392] The server receives data sent from the user and uses a generative AI model to personalize the learning content. At this stage, it performs data calculations to generate content that provides the optimal learning experience based on the user profile, and saves the results as output.

[0393] Step 3:

[0394] This step involves using the user's device's camera and microphone to collect user facial expressions and voice data in real time. This input data is used as basic information for analyzing the user's emotional state.

[0395] Step 4:

[0396] The server analyzes the acquired environmental input data to recognize the user's emotional state. This analysis utilizes facial recognition and voice analysis technologies, and a generative AI model is involved to produce detailed emotional data as output.

[0397] Step 5:

[0398] The server dynamically adjusts learning content and work tasks based on the analyzed emotion data. In this process, for example, if frustration is detected, the difficulty level of the content is reduced, and new instructions and content are output.

[0399] Step 6:

[0400] A display device for parents visually presents learning progress and user emotion data. At this stage, information output from the server is read and used to support parental support activities.

[0401] Step 7:

[0402] As a concrete example, the server uses a generative AI model to devise and output the optimal response based on the work situation, based on a prompt such as, "What emotional state is this worker showing? Please suggest specific actions."

[0403] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0404] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0405] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0406] [Third Embodiment]

[0407] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0408] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0409] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0410] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0411] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0412] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0413] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0414] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0415] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0416] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0417] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0418] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0419] The system of this invention personalizes the learning experience based on information registered by the user, providing an environment where children can think about their future in an enjoyable way. The system generates appropriate learning content and career experiences, taking into account the user's interests and characteristics. This supports continuous motivation and future planning.

[0420] This system consists of terminals, servers, and the network connecting them. Users initiate the registration process through the terminal upon first use. The terminal provides an interface for collecting personal information, interests, and preferred carriers entered by the user.

[0421] The server receives the registered information and records it in a database. Using generative artificial intelligence, the server analyzes the collected user information and generates personalized learning plans and content for each user. This generated content is sent to the device, making it accessible to the user.

[0422] An interface is provided that allows users to record their progress through their daily activities. The server analyzes the progress data and provides appropriate feedback and new goals. As progress is recorded, the server updates a dashboard that parents can view, allowing them to understand their child's learning progress in real time.

[0423] As part of this system, virtual reality-based job experience programs allow users to participate in a virtual environment and learn actual job skills in an enjoyable way. Furthermore, all data is encrypted using blockchain technology for security purposes and stored securely.

[0424] For example, if a child is interested in science, the system provides that child with science-related learning content and a virtual career experience as a scientist. Through this experience, the child gains an environment where they can learn more about science and think concretely about their future.

[0425] This invention allows users to develop a vision for their future careers through learning based on their interests, and enables parents to obtain accurate information to support them. As a result, children's motivation to learn increases, and communication between parents and children is also promoted.

[0426] The following describes the processing flow.

[0427] Step 1:

[0428] Users access the account registration screen using their device and enter data regarding their personal information, areas of interest, and desired future occupation.

[0429] Step 2:

[0430] The terminal sends the data provided by the user to the server.

[0431] Step 3:

[0432] The server stores the received user information in a database and invokes a generative artificial intelligence to generate personalized learning plans and content.

[0433] Step 4:

[0434] The server sends the generated learning plan to the terminal, and the terminal provides a user interface to display it to the user.

[0435] Step 5:

[0436] The user accesses learning content on the device and begins learning activities. The device records the user's progress.

[0437] Step 6:

[0438] The server receives learning progress data sent from the terminal and analyzes the user's progress. Then, if necessary, it sets new learning goals and notifies the terminal.

[0439] Step 7:

[0440] For the parent dashboard, the server aggregates the child's progress information, making it available for parents to review. The device displays this information in real time through a parent-facing interface.

[0441] Step 8:

[0442] To ensure the security of user data, the server uses blockchain technology to encrypt and store the data.

[0443] (Example 1)

[0444] Next, we will describe Example 1. 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."

[0445] Conventional learning support systems failed to provide learning experiences tailored to individual user interests and characteristics, lacked vocational experiences using virtual reality technology, and had insufficient daily goal management and monitoring of learning progress by parents. Furthermore, the secure storage of data remained a challenge.

[0446] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0447] In this invention, the server includes an information processing device that collects user information and personalizes the learning experience based on that information, an information processing device that provides a work experience using virtual reality technology, and an information processing device that automatically sets daily goals and manages their progress. This provides an individualized educational experience, enables the acquisition of practical skills through virtual work experiences, and supports the achievement of daily goals.

[0448] "User information" refers to data about a user's personal data, interests, and desired career path.

[0449] A "personalized learning experience information processing device" is a device that provides individually tailored learning plans and content based on user information.

[0450] An "information processing device that provides occupational experience using virtual reality technology" is a device that uses virtual reality technology to provide an environment in which users can experience various occupations.

[0451] An "information processing device that automatically sets daily goals and manages their progress" is a device equipped with the function to set the user's daily learning goals and track their achievement.

[0452] A "display device that allows parents to check their child's learning progress" is a device equipped with a parent-friendly interface for checking a child's learning progress in real time.

[0453] An "information processing device that encrypts and securely stores user data using blockchain technology" is a device that has the function of anonymizing and encrypting user data using blockchain technology and storing it securely.

[0454] The system of this invention consists of terminals, servers, and a network connecting them. Users begin by registering their information with the system using the terminal. The terminal provides an interface for collecting personal information, interests, and career aspirations entered by the user.

[0455] The server receives user information transmitted from the terminal and accurately records it in a database. A generative AI model within the server analyzes this information and generates individualized learning plans and content based on the user's characteristics. The generated content is sent to the terminal, allowing the user to access and proceed with their learning.

[0456] Users can record their daily activity progress via their device. The server analyzes this data and provides feedback and new goals tailored to their learning progress. This progress data is updated on a dashboard that parents can view, allowing them to track their child's learning progress in real time.

[0457] The program also offers career experiences using virtual reality technology. Users can access a virtual environment through their devices and simulate actual work experiences, learning skills while having fun. This allows users to gain a more practical understanding of their interests and career choices.

[0458] Furthermore, all user data is encrypted using blockchain technology and stored securely to ensure maximum security.

[0459] As a concrete example, if a user expresses interest in science, the system will provide science-related learning content and virtual career experiences tailored to that user. An example of a prompt to the generative AI model could be: "A 10-year-old user is interested in science. Please suggest the best science learning plan and related virtual career experiences for this user."

[0460] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0461] Step 1:

[0462] The user enters registration information using the terminal's interface. This information includes the user's name, age, interests, and preferred carrier. The terminal compiles this information into data packets and prepares for the next step.

[0463] Step 2:

[0464] The terminal sends information obtained from the user to the server. The server verifies the received information and records it in a database. The input data is individual user information, and the output is an organized user profile.

[0465] Step 3:

[0466] The server analyzes user profiles using a generative AI model. Specifically, it generates prompt sentences and inputs them into the AI ​​model. This analysis creates a learning plan and content tailored to the user. Personalized learning content is generated as output.

[0467] Step 4:

[0468] The generated learning content is sent from the server to the terminal. The terminal displays this content to the user, who can then access it and proceed with their learning.

[0469] Step 5:

[0470] Users record their learning progress daily on their devices. The input consists of data on the user's learning activities, which the device then organizes and sends to the server. The output is an updated progress log.

[0471] Step 6:

[0472] The server analyzes the user's progress data and generates feedback and new learning goals. The output presents appropriate feedback information and new goals. These are then presented to the user again via the terminal, reinforcing the learning process.

[0473] Step 7:

[0474] If the user requests it, they can begin a virtual reality job experience through their device. Here, data provided by the server is used for the virtual reality simulation, allowing the user to experience a virtual job.

[0475] Step 8:

[0476] All user data is encrypted using blockchain technology on the server to enhance security and is stored securely. All training data is input, and the output is stored as encrypted data.

[0477] (Application Example 1)

[0478] Next, we will explain Application Example 1. In the following explanation, 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."

[0479] Traditional learning experiences have been uniform and have difficulty providing learning that reflects individual interests. Furthermore, parents and guardians lacked detailed means to track their children's learning progress, and there was a lack of motivation for children to learn independently through interactive experiences. In addition, from a data security perspective, the protection of personal information remains inadequate. Solving these problems is essential.

[0480] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0481] In this invention, the server includes a generative artificial intelligence means for collecting user attributes and personalizing the educational experience based on that data, a means for providing vocational experiences using virtual space technology, and a means for displaying educational content in real time using a visual display device for providing an interactive learning experience. This allows children to experience learning that suits their interests and progress, and parents and guardians can check their progress in real time. Furthermore, a high level of data security is maintained.

[0482] "User attributes" refer to information and characteristics unique to each individual user, and are a collection of data used to personalize the learning experience based on this information.

[0483] "Generative artificial intelligence means" refers to a method that uses artificial intelligence technology to analyze user attributes and generate personalized educational content and experiences based on those attributes.

[0484] "Virtual space technology" is a technology that uses computer-generated simulations to provide users with virtual environments and situations that they can experience as if they were reality.

[0485] A "visual display device" is a device used to present visual information to users and plays an important role in supporting interactive learning experiences in physical stores.

[0486] "Educational content" refers to information and learning materials designed to improve learners' knowledge and skills, and the learning experience is realized when this content is provided in various formats.

[0487] "Real-time" refers to a temporal concept where specific processing or information provision is performed immediately without delay, enabling users to instantly experience or obtain information on the spot.

[0488] "Data security" refers to a state in which personal information and other confidential data are protected from unauthorized access and misuse, and is an important element in protecting user privacy.

[0489] The system for implementing this invention incorporates a program that personalizes user attributes and provides an interactive learning experience. The user first inputs information about their interests and future career aspirations via a terminal. This information is transmitted to a server via a network and stored in a database.

[0490] The server analyzes user attributes submitted using a generative AI model and generates educational content optimized for each user. This generated content is presented in real time through visual display devices (e.g., smart glasses or projectors) placed in physical environments such as retail stores. In this process, visual display devices such as Microsoft HoloLens are used, providing users with a seamless interactive experience.

[0491] Furthermore, the server monitors the user's learning progress in real time, and progress data is provided through an interface for parents and guardians. All data is encrypted using distributed ledger technology and stored securely, protecting user privacy.

[0492] For example, if a child interested in science sees a DNA model in a store through a visual display, detailed educational content about the structure of DNA will be displayed in real time. This will be followed by an explanation generated by AI, deepening the child's understanding. An example of an AI-generated prompt would be, "This child is interested in science. Please generate a way to explain the DNA model in an easy-to-understand way."

[0493] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0494] Step 1:

[0495] The device receives data from the user regarding their interests and career aspirations as input, and collects information through its interface. This input data provides a detailed representation of the user's interests and characteristics, and the obtained data is transmitted to a server via the network.

[0496] Step 2:

[0497] The server inputs received user data into a generating AI model to generate learning content optimized for the user. The generating AI model analyzes the user's attribute data and creates content based on their interests. The resulting learning content is aligned with the user's interests.

[0498] Step 3:

[0499] The server transmits the generated learning content to visual display devices, such as smart glasses, placed in physical stores. The display devices, receiving the content as input, provide users with a real-time, interactive educational experience. As output, visualized educational content is presented to the user.

[0500] Step 4:

[0501] Users experience content provided through a visual display device and gain progress. User actions and responses are collected by sensors, and this data is sent back to the terminal as input. The terminal transmits the user's interaction data to a server via the network.

[0502] Step 5:

[0503] The server analyzes user progress data and displays the information in real time through an interface for parents or guardians. Using the analysis results as input, parents can check their child's learning progress via a provided dashboard. As a result, appropriate feedback can be provided to parents.

[0504] Step 6:

[0505] All user data is encrypted and securely stored by the server using distributed ledger technology. In this step, user data is input and processed using blockchain technology, resulting in securely stored data as output.

[0506] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0507] The system of this invention provides a learning support environment equipped with emotion recognition capabilities, designed to enable children to learn and understand careers more effectively. By incorporating an emotion engine, this system enables dynamic content delivery and feedback that responds to the user's emotional state.

[0508] First, users register an account using their device, entering personal information, interests, and career aspirations. This process creates a user profile, which is then sent to the server. The server stores the user data in a database and uses generative artificial intelligence to generate personalized learning plans and career experience content.

[0509] In addition, the emotion engine can analyze the user's emotions. This is done, for example, by analyzing the user's facial expressions and tone of voice in real time through camera or voice input. This allows the server to recognize the user's current emotional state and adjust the learning experience based on that information. For example, if a user is feeling frustrated, the system can adjust the difficulty level of the content or send encouraging messages.

[0510] Furthermore, the parent interface also provides feedback incorporating emotional data. Parents can monitor their child's learning progress, including their emotional state, and provide advice and support based on that data. This further strengthens communication between parents and children.

[0511] For example, if a child is struggling to understand a math problem, the emotion engine detects the user's stress level and adjusts the difficulty level, switching to an easier problem. Conversely, if the user shows high concentration and understanding, it provides a more difficult challenge.

[0512] This invention allows users to experience individually customized learning and provides parents with information to effectively support their children. The introduction of an emotional engine enables a deeper learning experience and more flexible responses, thereby improving the quality of education and support.

[0513] The following describes the processing flow.

[0514] Step 1:

[0515] Users access the account creation screen using their device and enter data regarding their personal information, areas of interest, and desired future occupations.

[0516] Step 2:

[0517] The terminal sends the information entered by the user to the server. The server receives this data and stores it in a database.

[0518] Step 3:

[0519] The server uses generative artificial intelligence to generate personalized learning plans and career experience programs based on user information. The generated content is associated with the user's profile.

[0520] Step 4:

[0521] The emotion engine analyzes the user's emotional state in real time through the device's camera and microphone.

[0522] Step 5:

[0523] Based on the emotion data received from the emotion engine, the server automatically adjusts the content and difficulty level of the learning materials according to the user's current emotional state.

[0524] Step 6:

[0525] The device provides user-optimized learning content and enables users to engage in an interactive learning experience.

[0526] Step 7:

[0527] As the user's learning progresses, the device continuously monitors their emotional state in real time and sends new data to the server each time.

[0528] Step 8:

[0529] The server continuously analyzes updated sentiment data and learning progress, and prepares customized feedback for parents as needed. This allows parents to check their child's status and progress through a dashboard.

[0530] Step 9:

[0531] User data is encrypted and stored on the server using blockchain technology to ensure security.

[0532] (Example 2)

[0533] Next, we will describe Example 2. 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."

[0534] Traditional education systems have a problem in that they provide uniform content without considering the individual needs and emotional states of students, thus failing to maximize learning effectiveness. Furthermore, it has been difficult for parents to understand their children's learning progress and provide adequate support.

[0535] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0536] In this invention, the server includes means for users to register an account using an input device and generate a personal profile; means for generating personalized learning plans and career experiences based on the user profile using an artificial intelligence model; and means for identifying emotional states using an emotion engine that analyzes the user's facial expressions and voice data, and dynamically adjusting the learning experience. This enables the provision of personalized learning experiences and effective support from parents.

[0537] "User information" refers to data such as personal information, interests, and career aspirations that users enter into the system.

[0538] A "generative artificial intelligence model" is a program that uses artificial intelligence technology to generate learning plans and career experiences based on a user's profile.

[0539] An "emotion engine" is a technology that analyzes a user's facial expressions and voice data to identify their emotional state.

[0540] An "input device" is a device used by a user to input information into a system, and includes keyboards, mice, touchscreens, and other similar devices.

[0541] An "individualized learning plan" refers to learning content and schedules that are customized based on the user's individual needs and interests.

[0542] "Career experience" is a feature that provides users with simulations and experiential activities related to occupations they are interested in.

[0543] "Dynamic adjustment" refers to changing learning content and difficulty levels in real time according to the situation, in order to provide the optimal learning environment.

[0544] A "parent interface" is a screen or application used by parents to monitor their child's learning progress and emotional state, and to provide appropriate support.

[0545] To implement this invention, a system is required in which various hardware and software components work together. First, the user registers an account using a terminal and inputs personal information, interests, and career aspirations. The terminal sends this information to a server, which stores the received data in a database. This process generates a user profile.

[0546] Next, the server uses a generative artificial intelligence model to generate personalized learning plans and career experience content based on the stored user profile. This AI model is a computer program that creates relevant learning materials and assignments, taking into account the user's interests and career aspirations. The generated content is sent to the terminal and made available to the user for learning.

[0547] In addition, the device uses its camera and microphone to supply the user's facial expressions and voice data to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. The server receives feedback from the emotion engine and dynamically adjusts the learning experience based on the user's emotional state. For example, if the user is feeling frustrated, the difficulty of the task can be lowered or an encouraging message can be sent.

[0548] Furthermore, a parent-friendly interface is provided to help parents understand their child's learning progress, allowing them to view learning data, including their child's emotional state. This interface enables parents to effectively support their children based on the information they gather.

[0549] For example, if a child is using a device to study math problems, and the emotion engine detects the user's stress, the server will immediately switch to an easier problem. Conversely, if the system determines that the child is highly focused and understanding, it will intelligently provide a more difficult challenge.

[0550] Examples of prompts include, "Generate an appropriate feedback message when a child is feeling frustrated," and "Provide an example of the next challenging task to offer a user who demonstrates high concentration."

[0551] Through the system described above, it is possible to provide learning and career experiences optimized for each individual user, and to create an environment where parents can effectively provide support.

[0552] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0553] Step 1:

[0554] The user uses their device to enter personal information, interests, and career aspirations into a registration form and submits it. This input data is sent to the server as foundational information used in subsequent processing. The server receives this data and stores it in a database as a user profile. Specific operations include facilitating input using the device's form input function and transferring data from the device to the server.

[0555] Step 2:

[0556] The server generates learning plans and career experience content using a generative artificial intelligence model based on stored user profiles. This process analyzes user profile data as input and outputs personalized learning content. Specifically, the AI ​​model automatically generates a learning curriculum tailored to the user's interests and career aspirations.

[0557] Step 3:

[0558] The device collects facial and audio data in real time via the camera and microphone while the user is learning, and supplies it to the emotion engine. This input data is used to analyze the user's emotions. The device collects data for emotion analysis and outputs the user's emotional state as the analysis result. The specific operations are video and audio data capture and transfer of the data to the emotion engine.

[0559] Step 4:

[0560] The server retrieves analysis results from the emotion engine and dynamically adjusts the difficulty level of the learning content and feedback messages. In this step, the emotion analysis results are used as input, and content or messages appropriate to the user's state are output. Specifically, this includes providing users who are stressed with problems of lower difficulty and displaying messages of gratitude and encouragement.

[0561] Step 5:

[0562] Parents use a parent interface to check their child's learning progress and emotional data. The interface displays data provided by the server. This process takes learning and emotional data from the server as input and outputs parental support information. Specific actions include viewing learning progress through the interface and providing feedback.

[0563] In this way, throughout each step, the system supports an individualized learning experience and smooth communication between parents and children.

[0564] (Application Example 2)

[0565] Next, we will explain application example 2. In the following explanation, 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."

[0566] Conventional learning support systems have been unable to grasp the emotional state of users, making it difficult to provide an optimal learning experience tailored to individual learners. Furthermore, when collaborating with machines such as robots, the inability to understand the emotions and concentration levels of workers and appropriately adjust the work content has made it difficult to create an efficient work environment. Therefore, there is a need to develop a system that solves these problems and dynamically adjusts learning and work processes based on the emotions of users and workers.

[0567] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0568] In this invention, the server includes intelligent means for collecting user information and personalizing the learning experience based on that information, means for analyzing environmental input acquired from the device and dynamically adjusting the work content based on the emotional state, and a display device that allows parents to check the child's learning progress. This makes it possible to grasp the user's emotions in real time and provide an individualized learning experience and work support.

[0569] "User information" refers to personal data about users, which is necessary for personalizing learning and optimizing tasks.

[0570] "Emotional state" refers to the type and intensity of emotions determined from the user's facial expressions, voice, etc., and is used to adjust learning and tasks.

[0571] "Intelligent means" refers to elements that utilize artificial intelligence technology to generate personalized experiences and content based on user information.

[0572] "Environmental input" refers to data acquired from devices such as cameras and microphones, and serves as fundamental data for analyzing the user's emotional state.

[0573] A "display device" is an interface that visually presents learning progress and feedback to users and their guardians.

[0574] A "dynamic adjustment mechanism" refers to a function that allows content and tasks to be changed on the spot based on the user's real-time emotional state.

[0575] "Personalizing" means adjusting the service content to suit the individual user's characteristics and needs, in order to provide the optimal experience.

[0576] The system for realizing this invention includes a server, a user terminal, and a display device. The server uses an AI model generated as an intelligent means to personalize the learning experience based on user information. In this process, the server uses user data stored on the platform to dynamically generate educational content optimized for each individual. In addition, it analyzes data collected from the camera and microphone installed in the user terminal as environmental input to recognize the user's emotional state in real time. This recognition uses facial recognition software, voice analysis tools, and specifically open-source libraries.

[0577] The display device provides visual feedback created based on the analyzed data. This makes it easier for parents to check their child's learning progress and emotional data through the display device and provide support and advice as needed. For example, if a user is experiencing frustration, the system will either lower the difficulty level or notify the parent to encourage additional support.

[0578] As a concrete example, consider a scenario where a robot in a factory monitors the state of a worker. In this case, the server can adjust the workload based on the analyzed emotional data, thereby improving work efficiency. By inputting a prompt such as, "What emotional state is this worker showing? Please suggest specific actions," into the AI ​​model, it can generate optimal action suggestions tailored to the work situation.

[0579] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0580] Step 1:

[0581] This stage involves collecting user information from the user's terminal. The user uses the terminal to input personal data and areas of interest, and this data is sent to the server. This input data is used as basic information for generating the user profile.

[0582] Step 2:

[0583] The server receives data sent from the user and uses a generative AI model to personalize the learning content. At this stage, it performs data calculations to generate content that provides the optimal learning experience based on the user profile, and saves the results as output.

[0584] Step 3:

[0585] This step involves using the user's device's camera and microphone to collect user facial expressions and voice data in real time. This input data is used as basic information for analyzing the user's emotional state.

[0586] Step 4:

[0587] The server analyzes the acquired environmental input data to recognize the user's emotional state. This analysis utilizes facial recognition and voice analysis technologies, and a generative AI model is involved to produce detailed emotional data as output.

[0588] Step 5:

[0589] The server dynamically adjusts learning content and work tasks based on the analyzed emotion data. In this process, for example, if frustration is detected, the difficulty level of the content is reduced, and new instructions and content are output.

[0590] Step 6:

[0591] A display device for parents visually presents learning progress and user emotion data. At this stage, information output from the server is read and used to support parental support activities.

[0592] Step 7:

[0593] As a concrete example, the server uses a generative AI model to devise and output the optimal response based on the work situation, based on a prompt such as, "What emotional state is this worker showing? Please suggest specific actions."

[0594] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0595] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0596] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0597] [Fourth Embodiment]

[0598] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0599] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0600] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0601] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0602] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0603] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0604] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0605] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0606] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0607] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0608] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0609] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0610] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0611] The system of this invention personalizes the learning experience based on information registered by the user, providing an environment where children can think about their future in an enjoyable way. The system generates appropriate learning content and career experiences, taking into account the user's interests and characteristics. This supports continuous motivation and future planning.

[0612] This system consists of terminals, servers, and the network connecting them. Users initiate the registration process through the terminal upon first use. The terminal provides an interface for collecting personal information, interests, and preferred carriers entered by the user.

[0613] The server receives the registered information and records it in a database. Using generative artificial intelligence, the server analyzes the collected user information and generates personalized learning plans and content for each user. This generated content is sent to the device, making it accessible to the user.

[0614] An interface is provided that allows users to record their progress through their daily activities. The server analyzes the progress data and provides appropriate feedback and new goals. As progress is recorded, the server updates a dashboard that parents can view, allowing them to understand their child's learning progress in real time.

[0615] As part of this system, virtual reality-based job experience programs allow users to participate in a virtual environment and learn actual job skills in an enjoyable way. Furthermore, all data is encrypted using blockchain technology for security purposes and stored securely.

[0616] For example, if a child is interested in science, the system provides that child with science-related learning content and a virtual career experience as a scientist. Through this experience, the child gains an environment where they can learn more about science and think concretely about their future.

[0617] This invention allows users to develop a vision for their future careers through learning based on their interests, and enables parents to obtain accurate information to support them. As a result, children's motivation to learn increases, and communication between parents and children is also promoted.

[0618] The following describes the processing flow.

[0619] Step 1:

[0620] Users access the account registration screen using their device and enter data regarding their personal information, areas of interest, and desired future occupation.

[0621] Step 2:

[0622] The terminal sends the data provided by the user to the server.

[0623] Step 3:

[0624] The server stores the received user information in a database and invokes a generative artificial intelligence to generate personalized learning plans and content.

[0625] Step 4:

[0626] The server sends the generated learning plan to the terminal, and the terminal provides a user interface to display it to the user.

[0627] Step 5:

[0628] The user accesses learning content on the device and begins learning activities. The device records the user's progress.

[0629] Step 6:

[0630] The server receives learning progress data sent from the terminal and analyzes the user's progress. Then, if necessary, it sets new learning goals and notifies the terminal.

[0631] Step 7:

[0632] For the parent dashboard, the server aggregates the child's progress information, making it available for parents to review. The device displays this information in real time through a parent-facing interface.

[0633] Step 8:

[0634] To ensure the security of user data, the server uses blockchain technology to encrypt and store the data.

[0635] (Example 1)

[0636] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0637] Conventional learning support systems failed to provide learning experiences tailored to individual user interests and characteristics, lacked vocational experiences using virtual reality technology, and had insufficient daily goal management and monitoring of learning progress by parents. Furthermore, the secure storage of data remained a challenge.

[0638] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0639] In this invention, the server includes an information processing device that collects user information and personalizes the learning experience based on that information, an information processing device that provides a work experience using virtual reality technology, and an information processing device that automatically sets daily goals and manages their progress. This provides an individualized educational experience, enables the acquisition of practical skills through virtual work experiences, and supports the achievement of daily goals.

[0640] "User information" refers to data about a user's personal data, interests, and desired career path.

[0641] A "personalized learning experience information processing device" is a device that provides individually tailored learning plans and content based on user information.

[0642] An "information processing device that provides occupational experience using virtual reality technology" is a device that uses virtual reality technology to provide an environment in which users can experience various occupations.

[0643] An "information processing device that automatically sets daily goals and manages their progress" is a device equipped with the function to set the user's daily learning goals and track their achievement.

[0644] A "display device that allows parents to check their child's learning progress" is a device equipped with a parent-friendly interface for checking a child's learning progress in real time.

[0645] An "information processing device that encrypts and securely stores user data using blockchain technology" is a device that has the function of anonymizing and encrypting user data using blockchain technology and storing it securely.

[0646] The system of this invention consists of terminals, servers, and a network connecting them. Users begin by registering their information with the system using the terminal. The terminal provides an interface for collecting personal information, interests, and career aspirations entered by the user.

[0647] The server receives user information transmitted from the terminal and accurately records it in a database. A generative AI model within the server analyzes this information and generates individualized learning plans and content based on the user's characteristics. The generated content is sent to the terminal, allowing the user to access and proceed with their learning.

[0648] Users can record their daily activity progress via their device. The server analyzes this data and provides feedback and new goals tailored to their learning progress. This progress data is updated on a dashboard that parents can view, allowing them to track their child's learning progress in real time.

[0649] The program also offers career experiences using virtual reality technology. Users can access a virtual environment through their devices and simulate actual work experiences, learning skills while having fun. This allows users to gain a more practical understanding of their interests and career choices.

[0650] Furthermore, all user data is encrypted using blockchain technology and stored securely to ensure maximum security.

[0651] As a concrete example, if a user expresses interest in science, the system will provide science-related learning content and virtual career experiences tailored to that user. An example of a prompt to the generative AI model could be: "A 10-year-old user is interested in science. Please suggest the best science learning plan and related virtual career experiences for this user."

[0652] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0653] Step 1:

[0654] The user enters registration information using the terminal's interface. This information includes the user's name, age, interests, and preferred carrier. The terminal compiles this information into data packets and prepares for the next step.

[0655] Step 2:

[0656] The terminal sends information obtained from the user to the server. The server verifies the received information and records it in a database. The input data is individual user information, and the output is an organized user profile.

[0657] Step 3:

[0658] The server analyzes user profiles using a generative AI model. Specifically, it generates prompt sentences and inputs them into the AI ​​model. This analysis creates a learning plan and content tailored to the user. Personalized learning content is generated as output.

[0659] Step 4:

[0660] The generated learning content is sent from the server to the terminal. The terminal displays this content to the user, who can then access it and proceed with their learning.

[0661] Step 5:

[0662] Users record their learning progress daily on their devices. The input consists of data on the user's learning activities, which the device then organizes and sends to the server. The output is an updated progress log.

[0663] Step 6:

[0664] The server analyzes the user's progress data and generates feedback and new learning goals. The output presents appropriate feedback information and new goals. These are then presented to the user again via the terminal, reinforcing the learning process.

[0665] Step 7:

[0666] If the user requests it, they can begin a virtual reality job experience through their device. Here, data provided by the server is used for the virtual reality simulation, allowing the user to experience a virtual job.

[0667] Step 8:

[0668] All user data is encrypted using blockchain technology on the server to enhance security and is stored securely. All training data is input, and the output is stored as encrypted data.

[0669] (Application Example 1)

[0670] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0671] Traditional learning experiences have been uniform and have difficulty providing learning that reflects individual interests. Furthermore, parents and guardians lacked detailed means to track their children's learning progress, and there was a lack of motivation for children to learn independently through interactive experiences. In addition, from a data security perspective, the protection of personal information remains inadequate. Solving these problems is essential.

[0672] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0673] In this invention, the server includes a generative artificial intelligence means for collecting user attributes and personalizing the educational experience based on that data, a means for providing vocational experiences using virtual space technology, and a means for displaying educational content in real time using a visual display device for providing an interactive learning experience. This allows children to experience learning that suits their interests and progress, and parents and guardians can check their progress in real time. Furthermore, a high level of data security is maintained.

[0674] "User attributes" refer to information and characteristics unique to each individual user, and are a collection of data used to personalize the learning experience based on this information.

[0675] "Generative artificial intelligence means" refers to a method that uses artificial intelligence technology to analyze user attributes and generate personalized educational content and experiences based on those attributes.

[0676] "Virtual space technology" is a technology that uses computer-generated simulations to provide users with virtual environments and situations that they can experience as if they were reality.

[0677] A "visual display device" is a device used to present visual information to users and plays an important role in supporting interactive learning experiences in physical stores.

[0678] "Educational content" refers to information and learning materials designed to improve learners' knowledge and skills, and the learning experience is realized when this content is provided in various formats.

[0679] "Real-time" refers to a temporal concept where specific processing or information provision is performed immediately without delay, enabling users to instantly experience or obtain information on the spot.

[0680] "Data security" refers to a state in which personal information and other confidential data are protected from unauthorized access and misuse, and is an important element in protecting user privacy.

[0681] The system for implementing this invention incorporates a program that personalizes user attributes and provides an interactive learning experience. The user first inputs information about their interests and future career aspirations via a terminal. This information is transmitted to a server via a network and stored in a database.

[0682] The server analyzes user attributes submitted using a generative AI model and generates educational content optimized for each user. This generated content is presented in real time through visual display devices (e.g., smart glasses or projectors) placed in physical environments such as retail stores. In this process, visual display devices such as Microsoft HoloLens are used, providing users with a seamless interactive experience.

[0683] Furthermore, the server monitors the user's learning progress in real time, and progress data is provided through an interface for parents and guardians. All data is encrypted using distributed ledger technology and stored securely, protecting user privacy.

[0684] For example, if a child interested in science sees a DNA model in a store through a visual display, detailed educational content about the structure of DNA will be displayed in real time. This will be followed by an explanation generated by AI, deepening the child's understanding. An example of an AI-generated prompt would be, "This child is interested in science. Please generate a way to explain the DNA model in an easy-to-understand way."

[0685] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0686] Step 1:

[0687] The device receives data from the user regarding their interests and career aspirations as input, and collects information through its interface. This input data provides a detailed representation of the user's interests and characteristics, and the obtained data is transmitted to a server via the network.

[0688] Step 2:

[0689] The server inputs received user data into a generating AI model to generate learning content optimized for the user. The generating AI model analyzes the user's attribute data and creates content based on their interests. The resulting learning content is aligned with the user's interests.

[0690] Step 3:

[0691] The server transmits the generated learning content to visual display devices, such as smart glasses, placed in physical stores. The display devices, receiving the content as input, provide users with a real-time, interactive educational experience. As output, visualized educational content is presented to the user.

[0692] Step 4:

[0693] Users experience content provided through a visual display device and gain progress. User actions and responses are collected by sensors, and this data is sent back to the terminal as input. The terminal transmits the user's interaction data to a server via the network.

[0694] Step 5:

[0695] The server analyzes user progress data and displays the information in real time through an interface for parents or guardians. Using the analysis results as input, parents can check their child's learning progress via a provided dashboard. As a result, appropriate feedback can be provided to parents.

[0696] Step 6:

[0697] All user data is encrypted and securely stored by the server using distributed ledger technology. In this step, user data is input and processed using blockchain technology, resulting in securely stored data as output.

[0698] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0699] The system of this invention provides a learning support environment equipped with emotion recognition capabilities, designed to enable children to learn and understand careers more effectively. By incorporating an emotion engine, this system enables dynamic content delivery and feedback that responds to the user's emotional state.

[0700] First, users register an account using their device, entering personal information, interests, and career aspirations. This process creates a user profile, which is then sent to the server. The server stores the user data in a database and uses generative artificial intelligence to generate personalized learning plans and career experience content.

[0701] In addition, the emotion engine can analyze the user's emotions. This is done, for example, by analyzing the user's facial expressions and tone of voice in real time through camera or voice input. This allows the server to recognize the user's current emotional state and adjust the learning experience based on that information. For example, if a user is feeling frustrated, the system can adjust the difficulty level of the content or send encouraging messages.

[0702] Furthermore, the parent interface also provides feedback incorporating emotional data. Parents can monitor their child's learning progress, including their emotional state, and provide advice and support based on that data. This further strengthens communication between parents and children.

[0703] For example, if a child is struggling to understand a math problem, the emotion engine detects the user's stress level and adjusts the difficulty level, switching to an easier problem. Conversely, if the user shows high concentration and understanding, it provides a more difficult challenge.

[0704] This invention allows users to experience individually customized learning and provides parents with information to effectively support their children. The introduction of an emotional engine enables a deeper learning experience and more flexible responses, thereby improving the quality of education and support.

[0705] The following describes the processing flow.

[0706] Step 1:

[0707] Users access the account creation screen using their device and enter data regarding their personal information, areas of interest, and desired future occupations.

[0708] Step 2:

[0709] The terminal sends the information entered by the user to the server. The server receives this data and stores it in a database.

[0710] Step 3:

[0711] The server uses generative artificial intelligence to generate personalized learning plans and career experience programs based on user information. The generated content is associated with the user's profile.

[0712] Step 4:

[0713] The emotion engine analyzes the user's emotional state in real time through the device's camera and microphone.

[0714] Step 5:

[0715] Based on the emotion data received from the emotion engine, the server automatically adjusts the content and difficulty level of the learning materials according to the user's current emotional state.

[0716] Step 6:

[0717] The device provides user-optimized learning content and enables users to engage in an interactive learning experience.

[0718] Step 7:

[0719] As the user's learning progresses, the device continuously monitors their emotional state in real time and sends new data to the server each time.

[0720] Step 8:

[0721] The server continuously analyzes updated sentiment data and learning progress, and prepares customized feedback for parents as needed. This allows parents to check their child's status and progress through a dashboard.

[0722] Step 9:

[0723] User data is encrypted and stored on the server using blockchain technology to ensure security.

[0724] (Example 2)

[0725] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0726] Traditional education systems have a problem in that they provide uniform content without considering the individual needs and emotional states of students, thus failing to maximize learning effectiveness. Furthermore, it has been difficult for parents to understand their children's learning progress and provide adequate support.

[0727] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0728] In this invention, the server includes means for users to register an account using an input device and generate a personal profile; means for generating personalized learning plans and career experiences based on the user profile using an artificial intelligence model; and means for identifying emotional states using an emotion engine that analyzes the user's facial expressions and voice data, and dynamically adjusting the learning experience. This enables the provision of personalized learning experiences and effective support from parents.

[0729] "User information" refers to data such as personal information, interests, and career aspirations that users enter into the system.

[0730] A "generative artificial intelligence model" is a program that uses artificial intelligence technology to generate learning plans and career experiences based on a user's profile.

[0731] An "emotion engine" is a technology that analyzes a user's facial expressions and voice data to identify their emotional state.

[0732] An "input device" is a device used by a user to input information into a system, and includes keyboards, mice, touchscreens, and other similar devices.

[0733] An "individualized learning plan" refers to learning content and schedules that are customized based on the user's individual needs and interests.

[0734] "Career experience" is a feature that provides users with simulations and experiential activities related to occupations they are interested in.

[0735] "Dynamic adjustment" refers to changing learning content and difficulty levels in real time according to the situation, in order to provide the optimal learning environment.

[0736] A "parent interface" is a screen or application used by parents to monitor their child's learning progress and emotional state, and to provide appropriate support.

[0737] To implement this invention, a system is required in which various hardware and software components work together. First, the user registers an account using a terminal and inputs personal information, interests, and career aspirations. The terminal sends this information to a server, which stores the received data in a database. This process generates a user profile.

[0738] Next, the server uses a generative artificial intelligence model to generate personalized learning plans and career experience content based on the stored user profile. This AI model is a computer program that creates relevant learning materials and assignments, taking into account the user's interests and career aspirations. The generated content is sent to the terminal and made available to the user for learning.

[0739] In addition, the device uses its camera and microphone to supply the user's facial expressions and voice data to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. The server receives feedback from the emotion engine and dynamically adjusts the learning experience based on the user's emotional state. For example, if the user is feeling frustrated, the difficulty of the task can be lowered or an encouraging message can be sent.

[0740] Furthermore, a parent-friendly interface is provided to help parents understand their child's learning progress, allowing them to view learning data, including their child's emotional state. This interface enables parents to effectively support their children based on the information they gather.

[0741] For example, if a child is using a device to study math problems, and the emotion engine detects the user's stress, the server will immediately switch to an easier problem. Conversely, if the system determines that the child is highly focused and understanding, it will intelligently provide a more difficult challenge.

[0742] Examples of prompts include, "Generate an appropriate feedback message when a child is feeling frustrated," and "Provide an example of the next challenging task to offer a user who demonstrates high concentration."

[0743] Through the system described above, it is possible to provide learning and career experiences optimized for each individual user, and to create an environment where parents can effectively provide support.

[0744] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0745] Step 1:

[0746] The user uses their device to enter personal information, interests, and career aspirations into a registration form and submits it. This input data is sent to the server as foundational information used in subsequent processing. The server receives this data and stores it in a database as a user profile. Specific operations include facilitating input using the device's form input function and transferring data from the device to the server.

[0747] Step 2:

[0748] The server generates learning plans and career experience content using a generative artificial intelligence model based on stored user profiles. This process analyzes user profile data as input and outputs personalized learning content. Specifically, the AI ​​model automatically generates a learning curriculum tailored to the user's interests and career aspirations.

[0749] Step 3:

[0750] The device collects facial and audio data in real time via the camera and microphone while the user is learning, and supplies it to the emotion engine. This input data is used to analyze the user's emotions. The device collects data for emotion analysis and outputs the user's emotional state as the analysis result. The specific operations are video and audio data capture and transfer of the data to the emotion engine.

[0751] Step 4:

[0752] The server retrieves analysis results from the emotion engine and dynamically adjusts the difficulty level of the learning content and feedback messages. In this step, the emotion analysis results are used as input, and content or messages appropriate to the user's state are output. Specifically, this includes providing users who are stressed with problems of lower difficulty and displaying messages of gratitude and encouragement.

[0753] Step 5:

[0754] Parents use a parent interface to check their child's learning progress and emotional data. The interface displays data provided by the server. This process takes learning and emotional data from the server as input and outputs parental support information. Specific actions include viewing learning progress through the interface and providing feedback.

[0755] In this way, throughout each step, the system supports an individualized learning experience and smooth communication between parents and children.

[0756] (Application Example 2)

[0757] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0758] Conventional learning support systems have been unable to grasp the emotional state of users, making it difficult to provide an optimal learning experience tailored to individual learners. Furthermore, when collaborating with machines such as robots, the inability to understand the emotions and concentration levels of workers and appropriately adjust the work content has made it difficult to create an efficient work environment. Therefore, there is a need to develop a system that solves these problems and dynamically adjusts learning and work processes based on the emotions of users and workers.

[0759] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0760] In this invention, the server includes intelligent means for collecting user information and personalizing the learning experience based on that information, means for analyzing environmental input acquired from the device and dynamically adjusting the work content based on the emotional state, and a display device that allows parents to check the child's learning progress. This makes it possible to grasp the user's emotions in real time and provide an individualized learning experience and work support.

[0761] "User information" refers to personal data about users, which is necessary for personalizing learning and optimizing tasks.

[0762] "Emotional state" refers to the type and intensity of emotions determined from the user's facial expressions, voice, etc., and is used to adjust learning and tasks.

[0763] "Intelligent means" refers to elements that utilize artificial intelligence technology to generate personalized experiences and content based on user information.

[0764] "Environmental input" refers to data acquired from devices such as cameras and microphones, and serves as fundamental data for analyzing the user's emotional state.

[0765] A "display device" is an interface that visually presents learning progress and feedback to users and their guardians.

[0766] A "dynamic adjustment mechanism" refers to a function that allows content and tasks to be changed on the spot based on the user's real-time emotional state.

[0767] "Personalizing" means adjusting the service content to suit the individual user's characteristics and needs, in order to provide the optimal experience.

[0768] The system for realizing this invention includes a server, a user terminal, and a display device. The server uses an AI model generated as an intelligent means to personalize the learning experience based on user information. In this process, the server uses user data stored on the platform to dynamically generate educational content optimized for each individual. In addition, it analyzes data collected from the camera and microphone installed in the user terminal as environmental input to recognize the user's emotional state in real time. This recognition uses facial recognition software, voice analysis tools, and specifically open-source libraries.

[0769] The display device provides visual feedback created based on the analyzed data. This makes it easier for parents to check their child's learning progress and emotional data through the display device and provide support and advice as needed. For example, if a user is experiencing frustration, the system will either lower the difficulty level or notify the parent to encourage additional support.

[0770] As a concrete example, consider a scenario where a robot in a factory monitors the state of a worker. In this case, the server can adjust the workload based on the analyzed emotional data, thereby improving work efficiency. By inputting a prompt such as, "What emotional state is this worker showing? Please suggest specific actions," into the AI ​​model, it can generate optimal action suggestions tailored to the work situation.

[0771] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0772] Step 1:

[0773] This stage involves collecting user information from the user's terminal. The user uses the terminal to input personal data and areas of interest, and this data is sent to the server. This input data is used as basic information for generating the user profile.

[0774] Step 2:

[0775] The server receives data sent from the user and uses a generative AI model to personalize the learning content. At this stage, it performs data calculations to generate content that provides the optimal learning experience based on the user profile, and saves the results as output.

[0776] Step 3:

[0777] This step involves using the user's device's camera and microphone to collect user facial expressions and voice data in real time. This input data is used as basic information for analyzing the user's emotional state.

[0778] Step 4:

[0779] The server analyzes the acquired environmental input data to recognize the user's emotional state. This analysis utilizes facial recognition and voice analysis technologies, and a generative AI model is involved to produce detailed emotional data as output.

[0780] Step 5:

[0781] The server dynamically adjusts learning content and work tasks based on the analyzed emotion data. In this process, for example, if frustration is detected, the difficulty level of the content is reduced, and new instructions and content are output.

[0782] Step 6:

[0783] A display device for parents visually presents learning progress and user emotion data. At this stage, information output from the server is read and used to support parental support activities.

[0784] Step 7:

[0785] As a concrete example, the server uses a generative AI model to devise and output the optimal response based on the work situation, based on a prompt such as, "What emotional state is this worker showing? Please suggest specific actions."

[0786] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0787] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0788] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0789] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0790] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0791] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0792] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0793] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0794] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0795] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0796] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0797] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0798] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0799] 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.

[0800] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0801] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0802] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0803] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0804] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0805] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0806] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0807] The following is further disclosed regarding the embodiments described above.

[0808] (Claim 1)

[0809] A generative artificial intelligence means that collects user information and personalizes the learning experience based on that information,

[0810] A means of providing vocational experience using virtual reality technology,

[0811] A means to automatically set daily goals and manage their progress,

[0812] A user interface that allows parents to check their child's learning progress,

[0813] A means of encrypting user data using blockchain technology and storing it securely,

[0814] A system that includes this.

[0815] (Claim 2)

[0816] The system according to claim 1, wherein the generating artificial intelligence means generates learning content based on the user's areas of interest.

[0817] (Claim 3)

[0818] The system according to claim 1, which provides a parent interface for parents to view their child's activity data and send feedback.

[0819] "Example 1"

[0820] (Claim 1)

[0821] An information processing device that collects user information and personalizes the learning experience based on that information,

[0822] An information processing device that provides vocational experience using virtual reality technology,

[0823] An information processing device that automatically sets daily goals and manages their progress,

[0824] A display device that allows parents to check their child's learning progress,

[0825] An information processing device that encrypts user data using blockchain technology and stores it securely,

[0826] A system that includes this.

[0827] (Claim 2)

[0828] The system according to claim 1, which transmits the generated learning plan and content to the user's terminal and performs information processing to allow the user to access resources via the terminal.

[0829] (Claim 3)

[0830] The system according to claim 1, which provides a dedicated display device for parents to view their child's activity data and send feedback.

[0831] "Application Example 1"

[0832] (Claim 1)

[0833] A generative artificial intelligence means that collects user attributes and personalizes the educational experience based on that data,

[0834] A means of providing vocational experience using virtual space technology,

[0835] A means to automate daily goal setting and monitor and manage progress,

[0836] A user display method that allows parents to check their child's educational progress,

[0837] A means of encrypting user data using distributed ledger technology and storing it securely,

[0838] A means of displaying educational content in real time using a visual display device to provide an interactive learning experience,

[0839] A system that includes this.

[0840] (Claim 2)

[0841] The system according to claim 1, wherein the generating artificial intelligence means generates educational content based on the user's areas of interest and provides it in real time through an interactive display device.

[0842] (Claim 3)

[0843] The system according to claim 1, which provides a parent-friendly interface for a parent or guardian to view a child's activity record and send a response.

[0844] "Example 2 of combining an emotion engine"

[0845] (Claim 1)

[0846] A means for users to register an account using an input device and generate a personal profile,

[0847] A means for generating personalized learning plans and career experiences based on user profiles using an artificial intelligence model,

[0848] A means of dynamically adjusting the learning experience by identifying emotional states using an emotion engine that analyzes the user's facial expressions and voice data,

[0849] A parent-facing interface that displays the user's learning status, including their emotional state, allowing parents to observe and support their child's progress.

[0850] A system that includes this.

[0851] (Claim 2)

[0852] The system according to claim 1, which generates learning plans and career experiences based on the user's interests and career aspirations.

[0853] (Claim 3)

[0854] The system according to claim 1, wherein the emotion engine adjusts feedback according to the user's emotional state, providing appropriate encouragement and adjusting the difficulty level of learning tasks.

[0855] "Application example 2 when combining with an emotional engine"

[0856] (Claim 1)

[0857] An intelligent means that collects user information and personalizes the learning experience based on that information,

[0858] A means of providing vocational experience using virtual environment technology,

[0859] A device that automatically sets daily goals and manages their progress,

[0860] A display device that allows parents to check their child's learning progress,

[0861] A system that protects and securely stores user data using distributed ledger technology,

[0862] A means for analyzing environmental input acquired from a device and dynamically adjusting work content based on emotional state,

[0863] A system that includes this.

[0864] (Claim 2)

[0865] The system according to claim 1, wherein the intelligent means creates learning content based on the user's areas of interest.

[0866] (Claim 3)

[0867] The system according to claim 1, which provides a parental display device for parents to view their child's activity status and submit evaluations. [Explanation of Symbols]

[0868] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A generative artificial intelligence means that collects user information and personalizes the learning experience based on that information, A means of providing vocational experience using virtual reality technology, A means to automatically set daily goals and manage their progress, A user interface that allows parents to check their child's learning progress, A means of encrypting user data using blockchain technology and storing it securely, A system that includes this.

2. The system according to claim 1, wherein the generating artificial intelligence means generates learning content based on the user's areas of interest.

3. The system according to claim 1, which provides a parent interface for parents to view their child's activity data and send feedback.

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