system

Abstract

We provide the system. [Solution] An artificial intelligence means for collecting user information and generating an individualized learning plan based on said information, A user interface means that provides the user with an interactive learning experience based on the aforementioned learning plan, A business plan development support tool that analyzes users' business ideas and provides feedback on improvement suggestions, A means of forming a network for collaborating with other users on projects, Resource management tools that provide financial support and mentoring for projects, 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, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern education, there is a problem that practical economic education for children to cultivate entrepreneurship is insufficient, and the uncertainty about future occupations is increasing. Also, from the perspective of cultivating skills to cope with global competition, conventional educational methods are insufficient. As a result, there is a demand for educational support according to individual characteristics and the provision of a platform for forming networks with people around the world.

Means for Solving the Problems

[0005] This invention provides artificial intelligence means for collecting user information and generating personalized learning plans based on that information. It also utilizes a user interface means to provide users with an interactive learning experience based on this learning plan. Furthermore, a business plan formulation support means analyzes the user's business ideas and provides feedback on improvements. Additionally, a network formation means for linking projects with other users provides broader opportunities for collaboration. Finally, by incorporating resource management means to provide necessary financial support and mentoring for projects, the invention provides a system that comprehensively solves a wide range of challenges.

[0006] "User information" refers to data that includes attribute information related to the user, such as interests, goals, and learning style.

[0007] A "personalized learning plan" is a learning plan that is built based on the user's profile information, tailored to their individual characteristics and needs.

[0008] "Artificial intelligence means" refers to a device or process that uses machine learning algorithms and related technologies for analyzing user information and generating learning plans.

[0009] "User interface means" refers to a device or software that provides a visual and operational environment for a user to interact with the system and utilize learning content.

[0010] A "business plan development support tool" is a system function that provides users with advice and analysis to help them develop and improve their own business ideas.

[0011] A "network formation method" is a system that uses communication technologies and protocols to connect users and form collaborative projects or global networks.

[0012] "Resource management means" refers to system functions that appropriately allocate and manage necessary resources, including financial support for projects and mentoring programs for human resource development. [Brief explanation of the drawing]

[0013] [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] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0014] 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.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single 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.

[0017] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] 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).

[0020] 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."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a 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.

[0031] 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.

[0032] 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.

[0033] 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".

[0034] As an embodiment of the present invention, a system centered on an AI-assisted entrepreneur training platform is provided. This system generates personalized learning plans based on user information and supports efficient learning through an interactive user interface.

[0035] The system's program begins with the server receiving initial registration information from the user and storing it in a database. Once the user logs in, an artificial intelligence system on the terminal generates a personalized learning plan based on this information and presents it through the user interface. Through this interface, the user can access various learning modules and try out actual business plans.

[0036] In the business plan development support system, users input their business ideas, and the server generates suggested improvements based on AI analysis, which are then provided to the user as feedback via their device. This allows users to gradually improve their business skills.

[0037] Furthermore, by utilizing networking mechanisms, the server connects users with other aspiring entrepreneurs around the world, encouraging participation in collaborative projects. Users can engage in these projects via their devices, broadening their global perspective.

[0038] Through resource management mechanisms, the server provides funding opportunities for outstanding business plans and arranges mentoring sessions. This allows users to engage in entrepreneurial activities with a higher success rate while receiving practical support.

[0039] For example, if a user has an idea for a new educational program, they can input that idea on the platform and refine it based on feedback from an AI assistant. They can then collaborate with children in other countries on the project, and with funding, it can even be brought to market as an actual product.

[0040] In this way, the goal is to foster entrepreneurial spirit in children by coordinating various methods and providing a comprehensive environment for realizing users' ideas.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user accesses the platform and enters information on the new registration screen. The device verifies the required fields. The server receives the information, saves it to the database, and sends a confirmation email to the user.

[0044] Step 2:

[0045] The user logs in for the first time and enters profile information (interests, goals, learning style, etc.) via their device. The server receives this information and adds it to the database for storage.

[0046] Step 3:

[0047] The server uses an AI assistant to analyze profile information and generate a personalized learning plan. The device then visually displays this plan to the user.

[0048] Step 4:

[0049] When a user selects a learning module, the device displays an interactive module. The user progresses through the learning process and works on assignments.

[0050] Step 5:

[0051] The server collects user progress and response data and records it in a database. The AI ​​assistant generates real-time feedback and displays it on the device.

[0052] Step 6:

[0053] Users input their business ideas into the platform. The device provides visual tools to help users develop their plans. The server analyzes the ideas and provides improvement suggestions to the user through an AI assistant.

[0054] Step 7:

[0055] When a user expresses interest in participating in an international project, the server generates a list of available projects on the network and provides it to the terminal. The user selects a project, and the server sets up the connection with other participants.

[0056] Step 8:

[0057] When a user applies for funding for a project, the server reviews the application and selects eligible projects. The terminal notifies the user of the result and, if selected, arranges funding and mentoring.

[0058] (Example 1)

[0059] 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."

[0060] Traditional entrepreneurship development programs have had the problem of being unable to provide support tailored to the individual needs of users or offer opportunities for international collaboration. As a result, users are unable to obtain accurate advice and resources, leading to an inefficient process for realizing their business ideas.

[0061] 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.

[0062] In this invention, the server includes intelligent means for collecting user information and generating an individualized educational plan based on said information; user interface means for providing the user with an interactive educational experience based on said educational plan; and business plan formulation support means for analyzing the user's business idea and providing feedback with improvement suggestions. This makes it possible to provide users with individually customized educational programs and further enhance the likelihood of business success through international cooperation and resource assistance.

[0063] "User information" refers to data about the user's characteristics, interests, and goals.

[0064] An "individualized learning plan" is an educational plan in which specific learning modules and assignments are selected based on the user's information.

[0065] "Intelligent tools" are technologies that utilize artificial intelligence to perform specific tasks.

[0066] An "interactive educational experience" is an interactive teaching method in which users can actively participate in learning and receive feedback.

[0067] "User interface means" refers to user interface technology that allows users to interact directly with a system.

[0068] A "business idea" is a concept or plan for a new business proposed by a user.

[0069] "Improvement suggestions" are specific advice or points of feedback that can make a business idea better.

[0070] "Business plan development support tools" are technologies that analyze a user's business idea and provide advice for improvement.

[0071] "Information exchange and formation means" refers to technologies that enable users to share knowledge and information with others and collaborate on projects.

[0072] "Resource assistance" refers to providing the necessary funds, materials, and personnel support to implement a project plan.

[0073] "Resource management means" refers to system technologies for efficiently distributing and managing available resources.

[0074] This invention aims to realize a system that utilizes artificial intelligence to provide personalized educational experiences in order to support users' entrepreneurial activities. Its specific form is described below.

[0075] The server first receives initial registration information from the user and securely stores this information in a database. This initial registration information is used as basic data to understand the user's characteristics. Then, when the user logs in via a terminal, the server begins preparing to analyze the data in storage.

[0076] The device includes an AI-powered learning plan generation engine that generates personalized educational plans based on user information provided by the server. This AI engine utilizes specific generative AI models to select tasks and learning modules that are appropriate for the user's interests and goals. Once the learning plan is generated, it is presented to the user through the user interface, providing an interactive educational experience.

[0077] Users can clearly input their business ideas on their terminal. For example, they might enter a prompt such as, "I want to build a new online education program." The server receives this and analyzes it using its built-in analytics system. As a result of the analysis, specific improvement suggestions are generated and provided as feedback to the user.

[0078] Furthermore, the server uses its information exchange and formation function to connect users with other entrepreneurs around the world. This allows users to participate in collaborative projects via their devices and gain diverse perspectives through international exchange. After joining a project, the server uses its resource management function to coordinate resource assistance and mentoring, supporting the success of the user's business plan.

[0079] In this way, the system is designed to provide multifaceted support tailored to the individual needs of users and to enhance the feasibility of business ideas.

[0080] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0081] Step 1:

[0082] The server receives initial user registration information from the terminal. This input information includes the user's name, email address, and areas of interest. The server analyzes this information and stores the user's profile in a database. This lays the foundation for subsequent personalization processes.

[0083] Step 2:

[0084] When a user logs into the system via their device, the server retrieves the user's profile information from the database and sends it to the device. Based on this information, the AI ​​engine within the device is activated. The AI ​​engine uses a generative AI model to automatically generate a personalized learning plan. In this process, the most suitable learning modules are selected based on the user's interests and goals.

[0085] Step 3:

[0086] The device displays the generated educational plan to the user through a user interface. The user can then work on the tasks presented on this interface, and the learning activity begins. In response to the user's actions, the AI ​​engine provides real-time feedback.

[0087] Step 4:

[0088] The user uses a terminal to input their business idea as a prompt. A typical example might be, "I want to build a new online education program." The server receives this input and processes it using an AI analysis system. Specifically, the server uses a generative AI model to analyze the strengths and weaknesses of the input idea and suggests areas for improvement.

[0089] Step 5:

[0090] The server returns the analysis results to the terminal and provides the user with feedback on improvement suggestions. The user interface on the terminal displays this feedback, allowing the user to review and revise their business plan based on the suggested improvements.

[0091] Step 6:

[0092] The server uses networking mechanisms to connect users with other entrepreneurial participants. This information exchange gives users the opportunity to participate in collaborative projects via their terminals. The server provides detailed project information and communication channels to support users in effectively collaborating.

[0093] Step 7:

[0094] If a user's submitted business plan is deemed excellent, the server will use resource management tools to arrange resource assistance and mentoring sessions. The server will coordinate opportunities for financial support and expert guidance and notify the user. Based on this, the user can more effectively proceed with the execution of their plan.

[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] In today's business development environment, there is a problem in that it is difficult for individual entrepreneurs to receive efficient and personalized support for the challenges they face. In particular, the lack of mechanisms that provide collaborative work from a global perspective, efficient allocation of resources, and interactive learning experiences makes it difficult to improve the quality and feasibility of business plans. This invention aims to solve such problems and provide a comprehensive environment that improves the success rate of entrepreneurial activities.

[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 intelligent means for collecting user information and generating personalized learning plans, user interface means for providing an interactive learning experience, business plan development support means, network formation means for coordinating collaborative work with other users, resource management means, visualization means for facilitating interaction in a virtual environment, and simulation means. This enables users to access a real-time learning and collaboration environment tailored to their individual profiles, allowing for high-quality planning and implementation for global business expansion.

[0100] "User information" refers to data about individual users' profiles and behavioral history, which is used to personalize learning plans.

[0101] A "learning plan" is a customized educational curriculum generated based on user information, aimed at improving specific skills and knowledge.

[0102] "Intelligent tools" refer to the functions of artificial intelligence that analyze user information and generate a learning plan based on that analysis.

[0103] A "user interface" is a system interface that presents learning content to the user and enables two-way communication.

[0104] The "business plan development support tool" is a function that analyzes business ideas provided by users and provides feedback with improvement suggestions.

[0105] A "network formation mechanism" is a connection mechanism that facilitates collaboration and project participation among users, enabling international cooperation.

[0106] "Resource management tools" refer to functions that provide the necessary financial assistance and advice for a project and ensure the appropriate allocation of various resources.

[0107] "Visualization means" refers to a function that provides the visual information necessary to facilitate interaction and collaborative work among users in a virtual environment.

[0108] A "simulation tool" is a system that provides virtual exercises in a field of knowledge to improve the user's skills.

[0109] This invention is a system that generates personalized learning plans based on user information and provides users with an interactive learning experience. The server is equipped with intelligent means that generate learning plans tailored to each individual in real time based on profile information provided by the user. This intelligent means uses a generation AI model to analyze user information and construct a customized educational curriculum.

[0110] Users can access learning content through a user interface and receive interactive education according to their learning plan. For this reason, the terminal uses React Native as its frontend, enabling intuitive operation. Furthermore, when a user inputs a business idea, the server uses business plan development support tools to analyze the idea, suggest improvements, and provide feedback to the user. This is done using generative AI models such as GPT-4 (registered trademark), improving the quality of the suggestions.

[0111] Furthermore, networking means enable users to participate in global collaborative work. Servers provide access to international projects and coordinate project-related funding and mentoring through resource management means. Visualization means facilitate interaction between users in the virtual environment, and simulation means provide users with virtual training in specific skills.

[0112] As a concrete example, suppose a user comes up with an idea for a new fitness app. The user can input this idea through the system and receive feedback from an AI assistant on market trends and differentiation strategies. After that, it is possible to collaborate with users in other countries to develop a marketing strategy and execute the plan. An example of a prompt would be, "I'm thinking of an idea for a new fitness app. What are the current market trends, what features are in demand, and how should I differentiate it?"

[0113] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0114] Step 1:

[0115] The server receives initial registration information entered by the user via their terminal. This information includes data such as the user's basic profile, areas of interest, and learning objectives, and the server stores this data in its database.

[0116] Step 2:

[0117] The server uses a generated AI model based on stored user information to create a personalized learning plan. Therefore, the server analyzes the input data and outputs a customized learning curriculum tailored to the user's objectives. As a result, learning content and a progress schedule are generated.

[0118] Step 3:

[0119] The terminal displays the generated learning plan on the user interface, through which the user accesses the learning modules. The input here is learning information provided by the server, and the output is adjusted to provide the user with an optimized learning experience.

[0120] Step 4:

[0121] When a user inputs a business idea on their device, the server analyzes the idea using business plan development support tools. This process requires the user's business idea as input and generates improvement suggestions using a generated AI model as output.

[0122] Step 5:

[0123] The server provides international collaborative work connections, linking users to other users through networking mechanisms. It uses each user's profile and current project status as input and lists possible collaborators and projects as output.

[0124] Step 6:

[0125] Utilizing resource management tools, the server coordinates funding and necessary mentoring for projects to which feedback has been applied. In this step, project progress and required resources are taken as input, and a list containing available support resources is generated as output.

[0126] Step 7:

[0127] Using visualization and simulation methods, the server facilitates collaboration in a virtual environment and provides skill training to users. Here, data on the user's progress and skill level is used as input, and visualized training sessions and simulation results are provided as output.

[0128] 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.

[0129] As an embodiment of the present invention, a configuration is provided in which an emotion engine is incorporated into an AI-assisted platform aimed at fostering personalized learning and entrepreneurship. This system generates a learning plan based on user information and further detects and analyzes the user's emotions to provide optimal feedback.

[0130] The system's program begins by collecting user information and generating a personalized learning plan using AI. When the user accesses the platform, an AI assistant presents the learning plan on the device. Furthermore, an emotion engine built into the device analyzes the user's emotions from their facial expressions, voice tone, and entered text data.

[0131] The server receives this emotional data immediately and makes necessary adjustments to the user's learning and business plan development. For example, if the emotional engine determines that the user is experiencing difficulties in learning, the server adjusts the learning plan to a less difficult one and presents it through the terminal. Conversely, if the user's emotional state is positive, the server will suggest challenging tasks, adapting in real time.

[0132] For example, if the emotion engine analyzes that a user is experiencing stress while developing a business idea, the system provides supplementary information and suggests introducing a relaxing, interactive mini-game. This helps the user regain focus and maintain the quality of their ideas.

[0133] Furthermore, the emotion engine is also effective when participating in international projects. If a user expresses anxiety about cross-cultural communication, the system suggests methods that facilitate interaction and adjusts the matching with other users. This allows users to participate in projects with confidence.

[0134] By incorporating an emotional engine in this way, it becomes possible to provide a dynamic learning environment and entrepreneurial support that adapts to user needs. This makes it possible to further support the development of entrepreneurial spirit in children.

[0135] The following describes the processing flow.

[0136] Step 1:

[0137] The user accesses the platform and enters information on the new registration screen. The device checks the required fields, and if there are no problems, sends the information to the server. The server saves the user information to the database and notifies the user that registration is complete.

[0138] Step 2:

[0139] The user enters additional profile information (interests, goals, learning style, etc.). The device sends this information to the server, which stores the data in a database.

[0140] Step 3:

[0141] The server uses an AI assistant to analyze profile information and generates a personalized learning plan based on the results. The device then displays the generated learning plan to the user.

[0142] Step 4:

[0143] The user selects a learning module through the device and begins learning. The device displays the module and prepares to analyze the user's input and actions in real time using the emotion engine.

[0144] Step 5:

[0145] The emotion engine built into the device analyzes the user's emotions through their facial expressions, voice tone, and input text. The analysis results are then sent from the device to the server.

[0146] Step 6:

[0147] The server receives sentiment data and determines whether the learning plan or the feedback provided needs to be adjusted. If necessary, it changes the difficulty level and content of the learning and sends and displays a new learning module to the device.

[0148] Step 7:

[0149] The device provides visual tools as users input business ideas and develop plans. An emotion engine evaluates the user's stress and satisfaction levels and provides support accordingly.

[0150] Step 8:

[0151] When a user wishes to participate in an international project, the device displays a list of projects and allows them to apply to participate in the proposed projects. The server coordinates the projects the user participates in and uses an emotion engine to provide communication support that takes the user's emotions into consideration.

[0152] Step 9:

[0153] When a user applies for project funding, the server reviews the application and determines the necessary assistance. The terminal notifies the user of the result, and if approved, arranges funding and mentoring programs.

[0154] (Example 2)

[0155] 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".

[0156] In modern personalized learning environments and entrepreneurship support systems, there is a lack of means to respond immediately to users' emotional states and learning needs, and to effectively adjust learning plans and business ideas. Furthermore, the lack of efficient information sharing functions to facilitate participation in international projects hinders user growth and success.

[0157] 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.

[0158] In this invention, the server includes information processing means for collecting user data and generating personalized learning plans, emotion recognition means for analyzing user emotions and adaptively adjusting learning content, and information sharing means for enabling participation in multinational projects. This optimizes the user's learning experience and enables smooth participation in international projects.

[0159] "User data" refers to all information about a user, including attribute information, behavioral history, and learning history.

[0160] An "individualized learning plan" refers to a learning process and selection of learning materials that are customized based on each user's characteristics and needs.

[0161] "Information processing means" refers to devices and technologies that perform computational processing and data analysis to analyze data acquired from users and generate personalized services.

[0162] "Emotion recognition means" refers to a system or technology that analyzes a user's emotions from their facial expressions, voice, text data, etc., to determine their current emotional state.

[0163] "Information sharing means" refers to communication and platform functions that enable users to exchange information with each other and facilitate collaborative work.

[0164] This invention aims to build a system that provides personalized support to users through learning and emotion recognition. The entire system consists of a server, a terminal, and a user interface.

[0165] First, when a user accesses the platform, the device collects user data. This data includes the user's past learning history and current goal settings. The device processes this data and sends it to the server.

[0166] The server analyzes the collected user data and generates personalized learning plans using a generative AI model. Specifically, it uses AI technology to select learning materials and tasks that match the user's interests and level of understanding. This learning plan is sent to the device and presented to the user in a visual and interactive format.

[0167] Furthermore, the device's built-in emotion recognition system analyzes the user's facial expressions and voice input. This information is transmitted to the server in real time, and adaptive adjustments are made to the learning content. For example, if the user is experiencing stress, the difficulty level of the learning plan is lowered.

[0168] For example, if the emotion engine detects anxiety while a user is creating a new business plan, the server will suggest relaxing interactive content. This allows the user to regain focus and develop a high-quality business plan.

[0169] An example of a prompt would be: "Explain how the emotion engine analyzes emotions and provides feedback when a user is creating a new business plan. Please also specify the name of the software being used."

[0170] In this way, this system provides a learning environment tailored to the individual needs of users and supports the development of entrepreneurial spirit.

[0171] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0172] Step 1:

[0173] When a user logs into the platform, the device collects user data. This data includes past learning history, current progress, and goal setting. Sensors such as cameras and microphones are also used to record the user's facial expressions and voice tone. The input data consists of user information and real-time emotional state, and this information is sent to the server.

[0174] Step 2:

[0175] Upon receiving user data, the server uses AI technology to generate a personalized learning plan. This involves a generative AI model that creates learning materials and assignments tailored to the user's interests and skill level. Data processing involves analyzing user attributes and generating an optimal learning path based on those attributes; the output is the learning plan sent to the device.

[0176] Step 3:

[0177] The terminal receives an individualized learning plan from the server and presents it to the user in an interactive format. The terminal uses a user interface to display learning materials clearly and support the user in easily engaging with them. The input is the learning plan from the server, and the output is the content displayed to the user.

[0178] Step 4:

[0179] The device continues to analyze the user's emotions using emotion recognition technology. The analysis targets facial expressions captured by the camera, voice acquired from the microphone, and text input. The input data represents the user's emotional state, and the cleaned emotion data is sent to the server as output. This emotion data will be used for future learning adjustments.

[0180] Step 5:

[0181] The server adaptively adjusts the learning content based on emotional data transmitted from the terminal. It adjusts the complexity of the learning plan to reduce the stress and anxiety the user is experiencing. It also provides more challenging tasks to highly motivated users. The input is emotional data, and the output is the adjusted learning plan.

[0182] Step 6:

[0183] The device receives an adaptive learning plan from the server and presents it to the user again. This supports learning in a way that is optimal for the user and encourages continuous growth. The final output is the adjusted learning experience received by the user.

[0184] (Application Example 2)

[0185] 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".

[0186] Traditional education and business support systems face the challenge of providing dynamic services that take into account the emotional state of individual users. Furthermore, there is a lack of systems capable of offering appropriate services and product suggestions tailored to the emotions of individual customers. Therefore, there is a need to provide optimal learning plans and business support based on the user's emotional state.

[0187] 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.

[0188] In this invention, the server includes information processing means for acquiring user information and creating an individualized educational plan based on said information, emotion analysis means for analyzing the user's emotional state and providing appropriate customer service and product recommendation information, and communication means for coordinating with other users. This makes it possible to provide an individualized experience in real time that is tailored to the user's emotional state.

[0189] "User information" refers to data such as personal attributes and behavioral history that the system collects from users.

[0190] "Information processing means" refers to a device or software for creating personalized educational plans based on collected user information.

[0191] "Display means" refers to a device or interface that visually presents personalized educational plans and related information to the user.

[0192] "Business planning support tools" are technologies or algorithms used to analyze a user's business concept and provide improvement suggestions.

[0193] "Communication methods" refer to network infrastructure and protocols used to exchange information and collaborate with other users.

[0194] "Resource management means" refers to a management system or method for providing funding and advice related to a project.

[0195] "Emotional analysis means" refers to a technology or program for analyzing a user's emotional state from data such as facial expressions and voice.

[0196] The system for carrying out this invention consists of a combination of multiple hardware and software components to facilitate the collection of user information, sentiment analysis, provision of personalized educational plans, and communication with others. First, the terminal collects user information. This information includes the user's profile data and activity history. Next, an information processing means creates a personalized educational plan from this information.

[0197] When a user accesses this educational plan through their device, the display system provides information through a visual interface. The device integrates a camera and microphone so that an emotion analysis system can analyze the user's emotional state from their facial expressions and voice. This analysis uses emotion analysis software such as Microsoft® Azure® Emotion API, as an example.

[0198] Based on the user's emotional state and the progress of the training plan, the server dynamically adjusts the content of the training plan. For example, if a user is feeling stressed, the system can adjust the difficulty level and suggest relaxing breaks. Furthermore, communication methods enable smooth information exchange with other users, contributing to improved work plans.

[0199] For example, if the system analyzes that a user appears tired, it can display advice such as "recommend a new aromatherapy candle with relaxing effects." In this way, it is possible to provide a more user-friendly experience. An example of a prompt for the generating AI model is, "A new customer has entered the store. Analyze their emotions using the camera and microphone and generate real-time customer service advice."

[0200] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0201] Step 1:

[0202] The terminal collects user information. The input is the user's personal data and behavioral history, and the output is user profile data that is sent to the information processing device. Using this profile data, the information processing device prepares to create an individualized educational plan.

[0203] Step 2:

[0204] The terminal uses profile data to generate an individualized educational plan through its information processing capabilities. The input is the user's profile data, and the output is an educational plan tailored specifically to that user. This educational plan is customized based on the user's needs and goals.

[0205] Step 3:

[0206] The device uses its camera and microphone to capture facial images and audio to analyze the user's emotional state. The input is image and audio data, and the output is the analyzed emotional state. The emotion analysis tool identifies the emotional state using tools such as the Microsoft Azure Emotion API.

[0207] Step 4:

[0208] The server dynamically adjusts the plan based on the educational plan and the analyzed emotional state. The input is the individualized educational plan and emotional state, and the output is the adjusted educational plan. If the analysis indicates that the user is stressed, adjustments such as reducing the difficulty of the plan are made.

[0209] Step 5:

[0210] The device presents the user with a tailored educational plan and emotion-based advice through a display mechanism. The input is the tailored educational plan, and the output is the presentation of visual information to the user. For example, it might display advice such as, "We recommend a new aromatherapy candle with relaxing effects."

[0211] 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.

[0212] 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.

[0213] 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.

[0214] [Second Embodiment]

[0215] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0216] 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.

[0217] 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).

[0218] 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.

[0219] 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.

[0220] 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).

[0221] 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.

[0222] 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.

[0223] 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.

[0224] 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.

[0225] 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.

[0226] 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".

[0227] As an embodiment of the present invention, a system centered on an AI-assisted entrepreneur training platform is provided. This system generates personalized learning plans based on user information and supports efficient learning through an interactive user interface.

[0228] The system's program begins with the server receiving initial registration information from the user and storing it in a database. Once the user logs in, an artificial intelligence system on the terminal generates a personalized learning plan based on this information and presents it through the user interface. Through this interface, the user can access various learning modules and try out actual business plans.

[0229] In the business plan development support system, users input their business ideas, and the server generates suggested improvements based on AI analysis, which are then provided to the user as feedback via their device. This allows users to gradually improve their business skills.

[0230] Furthermore, by utilizing networking mechanisms, the server connects users with other aspiring entrepreneurs around the world, encouraging participation in collaborative projects. Users can engage in these projects via their devices, broadening their global perspective.

[0231] Through resource management mechanisms, the server provides funding opportunities for outstanding business plans and arranges mentoring sessions. This allows users to engage in entrepreneurial activities with a higher success rate while receiving practical support.

[0232] For example, if a user has an idea for a new educational program, they can input that idea on the platform and refine it based on feedback from an AI assistant. They can then collaborate with children in other countries on the project, and with funding, it can even be brought to market as an actual product.

[0233] In this way, the goal is to foster entrepreneurial spirit in children by coordinating various methods and providing a comprehensive environment for realizing users' ideas.

[0234] The following describes the processing flow.

[0235] Step 1:

[0236] The user accesses the platform and enters information on the new registration screen. The device verifies the required fields. The server receives the information, saves it to the database, and sends a confirmation email to the user.

[0237] Step 2:

[0238] The user logs in for the first time and enters profile information (interests, goals, learning style, etc.) via their device. The server receives this information and adds it to the database for storage.

[0239] Step 3:

[0240] The server uses an AI assistant to analyze profile information and generate a personalized learning plan. The device then visually displays this plan to the user.

[0241] Step 4:

[0242] When a user selects a learning module, the device displays an interactive module. The user progresses through the learning process and works on assignments.

[0243] Step 5:

[0244] The server collects user progress and response data and records it in a database. The AI ​​assistant generates real-time feedback and displays it on the device.

[0245] Step 6:

[0246] Users input their business ideas into the platform. The device provides visual tools to help users develop their plans. The server analyzes the ideas and provides improvement suggestions to the user through an AI assistant.

[0247] Step 7:

[0248] When a user expresses interest in participating in an international project, the server generates a list of available projects on the network and provides it to the terminal. The user selects a project, and the server sets up the connection with other participants.

[0249] Step 8:

[0250] When a user applies for funding for a project, the server reviews the application and selects eligible projects. The terminal notifies the user of the result and, if selected, arranges funding and mentoring.

[0251] (Example 1)

[0252] 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."

[0253] Traditional entrepreneurship development programs have had the problem of being unable to provide support tailored to the individual needs of users or offer opportunities for international collaboration. As a result, users are unable to obtain accurate advice and resources, leading to an inefficient process for realizing their business ideas.

[0254] 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.

[0255] In this invention, the server includes intelligent means for collecting user information and generating an individualized educational plan based on said information; user interface means for providing the user with an interactive educational experience based on said educational plan; and business plan formulation support means for analyzing the user's business idea and providing feedback with improvement suggestions. This makes it possible to provide users with individually customized educational programs and further enhance the likelihood of business success through international cooperation and resource assistance.

[0256] "User information" refers to data about the user's characteristics, interests, and goals.

[0257] An "individualized learning plan" is an educational plan in which specific learning modules and assignments are selected based on the user's information.

[0258] "Intelligent tools" are technologies that utilize artificial intelligence to perform specific tasks.

[0259] An "interactive educational experience" is an interactive teaching method in which users can actively participate in learning and receive feedback.

[0260] "User interface means" refers to user interface technology that allows users to interact directly with a system.

[0261] A "business idea" is a concept or plan for a new business proposed by a user.

[0262] "Improvement suggestions" are specific advice or points of feedback that can make a business idea better.

[0263] "Business plan development support tools" are technologies that analyze a user's business idea and provide advice for improvement.

[0264] "Information exchange and formation means" refers to technologies that enable users to share knowledge and information with others and collaborate on projects.

[0265] "Resource assistance" refers to providing the necessary funds, materials, and personnel support to implement a project plan.

[0266] "Resource management means" refers to system technologies for efficiently distributing and managing available resources.

[0267] This invention aims to realize a system that utilizes artificial intelligence to provide personalized educational experiences in order to support users' entrepreneurial activities. Its specific form is described below.

[0268] The server first receives initial registration information from the user and securely stores this information in a database. This initial registration information is used as basic data to understand the user's characteristics. Then, when the user logs in via a terminal, the server begins preparing to analyze the data in storage.

[0269] The device includes an AI-powered learning plan generation engine that generates personalized educational plans based on user information provided by the server. This AI engine utilizes specific generative AI models to select tasks and learning modules that are appropriate for the user's interests and goals. Once the learning plan is generated, it is presented to the user through the user interface, providing an interactive educational experience.

[0270] Users can clearly input their business ideas on their terminal. For example, they might enter a prompt such as, "I want to build a new online education program." The server receives this and analyzes it using its built-in analytics system. As a result of the analysis, specific improvement suggestions are generated and provided as feedback to the user.

[0271] Furthermore, the server uses its information exchange and formation function to connect users with other entrepreneurs around the world. This allows users to participate in collaborative projects via their devices and gain diverse perspectives through international exchange. After joining a project, the server uses its resource management function to coordinate resource assistance and mentoring, supporting the success of the user's business plan.

[0272] In this way, the system is designed to provide multifaceted support tailored to the individual needs of users and to enhance the feasibility of business ideas.

[0273] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0274] Step 1:

[0275] The server receives initial user registration information from the terminal. This input information includes the user's name, email address, and areas of interest. The server analyzes this information and stores the user's profile in a database. This lays the foundation for subsequent personalization processes.

[0276] Step 2:

[0277] When a user logs into the system via their device, the server retrieves the user's profile information from the database and sends it to the device. Based on this information, the AI ​​engine within the device is activated. The AI ​​engine uses a generative AI model to automatically generate a personalized learning plan. In this process, the most suitable learning modules are selected based on the user's interests and goals.

[0278] Step 3:

[0279] The device displays the generated educational plan to the user through a user interface. The user can then work on the tasks presented on this interface, and the learning activity begins. In response to the user's actions, the AI ​​engine provides real-time feedback.

[0280] Step 4:

[0281] The user uses the terminal to input their business idea as a prompt sentence. Something like "want to build a new online education program" is used. The server receives this input and processes it with an AI analysis system. Specifically, the server uses a generative AI model to analyze the strengths and weaknesses of the input idea and proposes areas for improvement.

[0282] Step 5:

[0283] The server returns the analysis results to the terminal and provides feedback on improvement suggestions to the user. The user interface on the terminal displays this feedback, and the user can review and modify their business plan based on the proposed areas for improvement.

[0284] Step 6:

[0285] The server uses network formation means to connect the user with other entrepreneur participants. Through this information exchange, the user obtains the opportunity to participate in joint projects via the terminal. The server provides detailed project information and communication channels to assist the user in effectively collaborating.

[0286] Step 7:

[0287] If it is determined that the business plan submitted by the user is excellent, the server arranges resource assistance and mentoring sessions using resource management means. The server coordinates opportunities for financial assistance and guidance by experts and notifies the user. Based on this, the user can more effectively proceed with the execution of the plan.

[0288] (Application Example 1)

[0289] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0290] In today's business development environment, there is a problem in that it is difficult for individual entrepreneurs to receive efficient and personalized support for the challenges they face. In particular, the lack of mechanisms that provide collaborative work from a global perspective, efficient allocation of resources, and interactive learning experiences makes it difficult to improve the quality and feasibility of business plans. This invention aims to solve such problems and provide a comprehensive environment that improves the success rate of entrepreneurial activities.

[0291] 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.

[0292] In this invention, the server includes intelligent means for collecting user information and generating personalized learning plans, user interface means for providing an interactive learning experience, business plan development support means, network formation means for coordinating collaborative work with other users, resource management means, visualization means for facilitating interaction in a virtual environment, and simulation means. This enables users to access a real-time learning and collaboration environment tailored to their individual profiles, allowing for high-quality planning and implementation for global business expansion.

[0293] "User information" refers to data about individual users' profiles and behavioral history, which is used to personalize learning plans.

[0294] A "learning plan" is a customized educational curriculum generated based on user information, aimed at improving specific skills and knowledge.

[0295] "Intelligent tools" refer to the functions of artificial intelligence that analyze user information and generate a learning plan based on that analysis.

[0296] A "user interface" is a system interface that presents learning content to the user and enables two-way communication.

[0297] The "business plan development support tool" is a function that analyzes business ideas provided by users and provides feedback with improvement suggestions.

[0298] A "network formation mechanism" is a connection mechanism that facilitates collaboration and project participation among users, enabling international cooperation.

[0299] "Resource management tools" refer to functions that provide the necessary financial assistance and advice for a project and ensure the appropriate allocation of various resources.

[0300] "Visualization means" refers to a function that provides the visual information necessary to facilitate interaction and collaborative work among users in a virtual environment.

[0301] A "simulation tool" is a system that provides virtual exercises in a field of knowledge to improve the user's skills.

[0302] This invention is a system that generates personalized learning plans based on user information and provides users with an interactive learning experience. The server is equipped with intelligent means that generate learning plans tailored to each individual in real time based on profile information provided by the user. This intelligent means uses a generation AI model to analyze user information and construct a customized educational curriculum.

[0303] Users can access learning content through a user interface and receive interactive education according to their learning plan. For this reason, the terminal uses React Native as its frontend, enabling intuitive operation. Furthermore, when a user inputs a business idea, the server uses business plan development support tools to analyze the idea, suggest improvements, and provide feedback to the user. This is done using generative AI models such as GPT-4, improving the quality of the suggestions.

[0304] Furthermore, through the network formation means, users can participate in global collaborative work. The server provides access to international projects and coordinates financial assistance and mentoring related to the projects through the resource management means. In addition, the visualization means promotes communication between users in the virtual environment, and the simulation means provides virtual training of specific skills to users.

[0305] As a specific example, suppose a user has an idea for a new fitness app. The user can input this idea through this system and receive feedback on market trends and differentiation strategies from the AI assistant. After that, it is possible to jointly develop a marketing strategy with users in other countries and execute the plan. An example of a prompt sentence is "I have an idea for a new fitness app. What are the current trends in the market and what functions are required? Also, please propose how to achieve differentiation."

[0306] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0307] Step 1:

[0308] When the server receives the initial registration information input by the user through the terminal, the server stores the input information, which includes data such as the user's basic profile, areas of interest, and learning objectives, in the database.

[0309] Step 2:

[0310] The server generates an individualized learning plan using the AI model generated based on the stored user information. For this purpose, the server analyzes the input data and outputs a customized learning curriculum according to the user's purpose. As a result, the learning content and progress schedule are generated.

[0311] Step 3:

[0312] The terminal displays the generated learning plan on the user interface, through which the user accesses the learning modules. The input here is learning information provided by the server, and the output is adjusted to provide the user with an optimized learning experience.

[0313] Step 4:

[0314] When a user inputs a business idea on their device, the server analyzes the idea using business plan development support tools. This process requires the user's business idea as input and generates improvement suggestions using a generated AI model as output.

[0315] Step 5:

[0316] The server provides international collaborative work connections, linking users to other users through networking mechanisms. It uses each user's profile and current project status as input and lists possible collaborators and projects as output.

[0317] Step 6:

[0318] Utilizing resource management tools, the server coordinates funding and necessary mentoring for projects to which feedback has been applied. In this step, project progress and required resources are taken as input, and a list containing available support resources is generated as output.

[0319] Step 7:

[0320] Using visualization and simulation methods, the server facilitates collaboration in a virtual environment and provides skill training to users. Here, data on the user's progress and skill level is used as input, and visualized training sessions and simulation results are provided as output.

[0321] 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.

[0322] As an embodiment of the present invention, a configuration is provided in which an emotion engine is incorporated into an AI-assisted platform aimed at fostering personalized learning and entrepreneurship. This system generates a learning plan based on user information and further detects and analyzes the user's emotions to provide optimal feedback.

[0323] The system's program begins by collecting user information and generating a personalized learning plan using AI. When the user accesses the platform, an AI assistant presents the learning plan on the device. Furthermore, an emotion engine built into the device analyzes the user's emotions from their facial expressions, voice tone, and entered text data.

[0324] The server receives this emotional data immediately and makes necessary adjustments to the user's learning and business plan development. For example, if the emotional engine determines that the user is experiencing difficulties in learning, the server adjusts the learning plan to a less difficult one and presents it through the terminal. Conversely, if the user's emotional state is positive, the server will suggest challenging tasks, adapting in real time.

[0325] For example, if the emotion engine analyzes that a user is experiencing stress while developing a business idea, the system provides supplementary information and suggests introducing a relaxing, interactive mini-game. This helps the user regain focus and maintain the quality of their ideas.

[0326] Furthermore, the emotion engine is also effective when participating in international projects. If a user expresses anxiety about cross-cultural communication, the system suggests methods that facilitate interaction and adjusts the matching with other users. This allows users to participate in projects with confidence.

[0327] By incorporating an emotional engine in this way, it becomes possible to provide a dynamic learning environment and entrepreneurial support that adapts to user needs. This makes it possible to further support the development of entrepreneurial spirit in children.

[0328] The following describes the processing flow.

[0329] Step 1:

[0330] The user accesses the platform and enters information on the new registration screen. The device checks the required fields, and if there are no problems, sends the information to the server. The server saves the user information to the database and notifies the user that registration is complete.

[0331] Step 2:

[0332] The user enters additional profile information (interests, goals, learning style, etc.). The device sends this information to the server, which stores the data in a database.

[0333] Step 3:

[0334] The server uses an AI assistant to analyze profile information and generates a personalized learning plan based on the results. The device then displays the generated learning plan to the user.

[0335] Step 4:

[0336] The user selects a learning module through the device and begins learning. The device displays the module and prepares to analyze the user's input and actions in real time using the emotion engine.

[0337] Step 5:

[0338] The emotion engine built into the device analyzes the user's emotions through their facial expressions, voice tone, and input text. The analysis results are then sent from the device to the server.

[0339] Step 6:

[0340] The server receives sentiment data and determines whether the learning plan or the feedback provided needs to be adjusted. If necessary, it changes the difficulty level and content of the learning and sends and displays a new learning module to the device.

[0341] Step 7:

[0342] The device provides visual tools as users input business ideas and develop plans. An emotion engine evaluates the user's stress and satisfaction levels and provides support accordingly.

[0343] Step 8:

[0344] When a user wishes to participate in an international project, the device displays a list of projects and allows them to apply to participate in the proposed projects. The server coordinates the projects the user participates in and uses an emotion engine to provide communication support that takes the user's emotions into consideration.

[0345] Step 9:

[0346] When a user applies for project funding, the server reviews the application and determines the necessary assistance. The terminal notifies the user of the result, and if approved, arranges funding and mentoring programs.

[0347] (Example 2)

[0348] 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".

[0349] In modern personalized learning environments and entrepreneurship support systems, there is a lack of means to respond immediately to users' emotional states and learning needs, and to effectively adjust learning plans and business ideas. Furthermore, the lack of efficient information sharing functions to facilitate participation in international projects hinders user growth and success.

[0350] 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.

[0351] In this invention, the server includes information processing means for collecting user data and generating personalized learning plans, emotion recognition means for analyzing user emotions and adaptively adjusting learning content, and information sharing means for enabling participation in multinational projects. This optimizes the user's learning experience and enables smooth participation in international projects.

[0352] "User data" refers to all information about a user, including attribute information, behavioral history, and learning history.

[0353] An "individualized learning plan" refers to a learning process and selection of learning materials that are customized based on each user's characteristics and needs.

[0354] "Information processing means" refers to devices and technologies that perform computational processing and data analysis to analyze data acquired from users and generate personalized services.

[0355] "Emotion recognition means" refers to a system or technology that analyzes a user's emotions from their facial expressions, voice, text data, etc., to determine their current emotional state.

[0356] "Information sharing means" refers to communication and platform functions that enable users to exchange information with each other and facilitate collaborative work.

[0357] This invention aims to build a system that provides personalized support to users through learning and emotion recognition. The entire system consists of a server, a terminal, and a user interface.

[0358] First, when a user accesses the platform, the device collects user data. This data includes the user's past learning history and current goal settings. The device processes this data and sends it to the server.

[0359] The server analyzes the collected user data and generates personalized learning plans using a generative AI model. Specifically, it uses AI technology to select learning materials and tasks that match the user's interests and level of understanding. This learning plan is sent to the device and presented to the user in a visual and interactive format.

[0360] Furthermore, the device's built-in emotion recognition system analyzes the user's facial expressions and voice input. This information is transmitted to the server in real time, and adaptive adjustments are made to the learning content. For example, if the user is experiencing stress, the difficulty level of the learning plan is lowered.

[0361] For example, if the emotion engine detects anxiety while a user is creating a new business plan, the server will suggest relaxing interactive content. This allows the user to regain focus and develop a high-quality business plan.

[0362] An example of a prompt would be: "Explain how the emotion engine analyzes emotions and provides feedback when a user is creating a new business plan. Please also specify the name of the software being used."

[0363] In this way, this system provides a learning environment tailored to the individual needs of users and supports the development of entrepreneurial spirit.

[0364] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0365] Step 1:

[0366] When a user logs into the platform, the device collects user data. This data includes past learning history, current progress, and goal setting. Sensors such as cameras and microphones are also used to record the user's facial expressions and voice tone. The input data consists of user information and real-time emotional state, and this information is sent to the server.

[0367] Step 2:

[0368] Upon receiving user data, the server uses AI technology to generate a personalized learning plan. This involves a generative AI model that creates learning materials and assignments tailored to the user's interests and skill level. Data processing involves analyzing user attributes and generating an optimal learning path based on those attributes; the output is the learning plan sent to the device.

[0369] Step 3:

[0370] The terminal receives an individualized learning plan from the server and presents it to the user in an interactive format. The terminal uses a user interface to display learning materials clearly and support the user in easily engaging with them. The input is the learning plan from the server, and the output is the content displayed to the user.

[0371] Step 4:

[0372] The device continues to analyze the user's emotions using emotion recognition technology. The analysis targets facial expressions captured by the camera, voice acquired from the microphone, and text input. The input data represents the user's emotional state, and the cleaned emotion data is sent to the server as output. This emotion data will be used for future learning adjustments.

[0373] Step 5:

[0374] The server adaptively adjusts the learning content based on emotional data transmitted from the terminal. It adjusts the complexity of the learning plan to reduce the stress and anxiety the user is experiencing. It also provides more challenging tasks to highly motivated users. The input is emotional data, and the output is the adjusted learning plan.

[0375] Step 6:

[0376] The device receives an adaptive learning plan from the server and presents it to the user again. This supports learning in a way that is optimal for the user and encourages continuous growth. The final output is the adjusted learning experience received by the user.

[0377] (Application Example 2)

[0378] 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."

[0379] Traditional education and business support systems face the challenge of providing dynamic services that take into account the emotional state of individual users. Furthermore, there is a lack of systems capable of offering appropriate services and product suggestions tailored to the emotions of individual customers. Therefore, there is a need to provide optimal learning plans and business support based on the user's emotional state.

[0380] 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.

[0381] In this invention, the server includes information processing means for acquiring user information and creating an individualized educational plan based on said information, emotion analysis means for analyzing the user's emotional state and providing appropriate customer service and product recommendation information, and communication means for coordinating with other users. This makes it possible to provide an individualized experience in real time that is tailored to the user's emotional state.

[0382] "User information" refers to data such as personal attributes and behavioral history that the system collects from users.

[0383] "Information processing means" refers to a device or software for creating personalized educational plans based on collected user information.

[0384] "Display means" refers to a device or interface that visually presents personalized educational plans and related information to the user.

[0385] "Business planning support tools" are technologies or algorithms used to analyze a user's business concept and provide improvement suggestions.

[0386] "Communication methods" refer to network infrastructure and protocols used to exchange information and collaborate with other users.

[0387] "Resource management means" refers to a management system or method for providing funding and advice related to a project.

[0388] "Emotional analysis means" refers to a technology or program for analyzing a user's emotional state from data such as facial expressions and voice.

[0389] The system for carrying out this invention consists of a combination of multiple hardware and software components to facilitate the collection of user information, sentiment analysis, provision of personalized educational plans, and communication with others. First, the terminal collects user information. This information includes the user's profile data and activity history. Next, an information processing means creates a personalized educational plan from this information.

[0390] When a user accesses this educational plan through their device, the display system provides information through a visual interface. The device integrates a camera and microphone so that an emotion analysis system can analyze the user's emotional state from their facial expressions and voice. This analysis uses emotion analysis software such as the Microsoft Azure Emotion API, as an example.

[0391] Based on the user's emotional state and the progress of the training plan, the server dynamically adjusts the content of the training plan. For example, if a user is feeling stressed, the system can adjust the difficulty level and suggest relaxing breaks. Furthermore, communication methods enable smooth information exchange with other users, contributing to improved work plans.

[0392] For example, if the system analyzes that a user appears tired, it can display advice such as "recommend a new aromatherapy candle with relaxing effects." In this way, it is possible to provide a more user-friendly experience. An example of a prompt for the generating AI model is, "A new customer has entered the store. Analyze their emotions using the camera and microphone and generate real-time customer service advice."

[0393] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0394] Step 1:

[0395] The terminal collects user information. The input is the user's personal data and behavioral history, and the output is user profile data that is sent to the information processing device. Using this profile data, the information processing device prepares to create an individualized educational plan.

[0396] Step 2:

[0397] The terminal uses profile data to generate an individualized educational plan through its information processing capabilities. The input is the user's profile data, and the output is an educational plan tailored specifically to that user. This educational plan is customized based on the user's needs and goals.

[0398] Step 3:

[0399] The device uses its camera and microphone to capture facial images and audio to analyze the user's emotional state. The input is image and audio data, and the output is the analyzed emotional state. The emotion analysis tool identifies the emotional state using tools such as the Microsoft Azure Emotion API.

[0400] Step 4:

[0401] The server dynamically adjusts the plan based on the educational plan and the analyzed emotional state. The input is the individualized educational plan and emotional state, and the output is the adjusted educational plan. If the analysis indicates that the user is stressed, adjustments such as reducing the difficulty of the plan are made.

[0402] Step 5:

[0403] The device presents the user with a tailored educational plan and emotion-based advice through a display mechanism. The input is the tailored educational plan, and the output is the presentation of visual information to the user. For example, it might display advice such as, "We recommend a new aromatherapy candle with relaxing effects."

[0404] 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.

[0405] 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.

[0406] 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.

[0407] [Third Embodiment]

[0408] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0409] 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.

[0410] 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).

[0411] 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.

[0412] 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.

[0413] 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).

[0414] 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.

[0415] 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.

[0416] 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.

[0417] 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.

[0418] 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.

[0419] 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".

[0420] As an embodiment of the present invention, a system centered on an AI-assisted entrepreneur training platform is provided. This system generates personalized learning plans based on user information and supports efficient learning through an interactive user interface.

[0421] The system's program begins with the server receiving initial registration information from the user and storing it in a database. Once the user logs in, an artificial intelligence system on the terminal generates a personalized learning plan based on this information and presents it through the user interface. Through this interface, the user can access various learning modules and try out actual business plans.

[0422] In the business plan development support system, users input their business ideas, and the server generates suggested improvements based on AI analysis, which are then provided to the user as feedback via their device. This allows users to gradually improve their business skills.

[0423] Furthermore, by utilizing networking mechanisms, the server connects users with other aspiring entrepreneurs around the world, encouraging participation in collaborative projects. Users can engage in these projects via their devices, broadening their global perspective.

[0424] Through resource management mechanisms, the server provides funding opportunities for outstanding business plans and arranges mentoring sessions. This allows users to engage in entrepreneurial activities with a higher success rate while receiving practical support.

[0425] For example, if a user has an idea for a new educational program, they can input that idea on the platform and refine it based on feedback from an AI assistant. They can then collaborate with children in other countries on the project, and with funding, it can even be brought to market as an actual product.

[0426] In this way, the goal is to foster entrepreneurial spirit in children by coordinating various methods and providing a comprehensive environment for realizing users' ideas.

[0427] The following describes the processing flow.

[0428] Step 1:

[0429] The user accesses the platform and enters information on the new registration screen. The device verifies the required fields. The server receives the information, saves it to the database, and sends a confirmation email to the user.

[0430] Step 2:

[0431] The user logs in for the first time and enters profile information (interests, goals, learning style, etc.) via their device. The server receives this information and adds it to the database for storage.

[0432] Step 3:

[0433] The server uses an AI assistant to analyze profile information and generate a personalized learning plan. The device then visually displays this plan to the user.

[0434] Step 4:

[0435] When a user selects a learning module, the device displays an interactive module. The user progresses through the learning process and works on assignments.

[0436] Step 5:

[0437] The server collects user progress and response data and records it in a database. The AI ​​assistant generates real-time feedback and displays it on the device.

[0438] Step 6:

[0439] Users input their business ideas into the platform. The device provides visual tools to help users develop their plans. The server analyzes the ideas and provides improvement suggestions to the user through an AI assistant.

[0440] Step 7:

[0441] When a user expresses interest in participating in an international project, the server generates a list of available projects on the network and provides it to the terminal. The user selects a project, and the server sets up the connection with other participants.

[0442] Step 8:

[0443] When a user applies for funding for a project, the server reviews the application and selects eligible projects. The terminal notifies the user of the result and, if selected, arranges funding and mentoring.

[0444] (Example 1)

[0445] 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."

[0446] Traditional entrepreneurship development programs have had the problem of being unable to provide support tailored to the individual needs of users or offer opportunities for international collaboration. As a result, users are unable to obtain accurate advice and resources, leading to an inefficient process for realizing their business ideas.

[0447] 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.

[0448] In this invention, the server includes intelligent means for collecting user information and generating an individualized educational plan based on said information; user interface means for providing the user with an interactive educational experience based on said educational plan; and business plan formulation support means for analyzing the user's business idea and providing feedback with improvement suggestions. This makes it possible to provide users with individually customized educational programs and further enhance the likelihood of business success through international cooperation and resource assistance.

[0449] "User information" refers to data about the user's characteristics, interests, and goals.

[0450] An "individualized learning plan" is an educational plan in which specific learning modules and assignments are selected based on the user's information.

[0451] "Intelligent tools" are technologies that utilize artificial intelligence to perform specific tasks.

[0452] An "interactive educational experience" is an interactive teaching method in which users can actively participate in learning and receive feedback.

[0453] "User interface means" refers to user interface technology that allows users to interact directly with a system.

[0454] A "business idea" is a concept or plan for a new business proposed by a user.

[0455] "Improvement suggestions" are specific advice or points of feedback that can make a business idea better.

[0456] "Business plan development support tools" are technologies that analyze a user's business idea and provide advice for improvement.

[0457] "Information exchange and formation means" refers to technologies that enable users to share knowledge and information with others and collaborate on projects.

[0458] "Resource assistance" refers to providing the necessary funds, materials, and personnel support to implement a project plan.

[0459] "Resource management means" refers to system technologies for efficiently distributing and managing available resources.

[0460] This invention aims to realize a system that utilizes artificial intelligence to provide personalized educational experiences in order to support users' entrepreneurial activities. Its specific form is described below.

[0461] The server first receives initial registration information from the user and securely stores this information in a database. This initial registration information is used as basic data to understand the user's characteristics. Then, when the user logs in via a terminal, the server begins preparing to analyze the data in storage.

[0462] The device includes an AI-powered learning plan generation engine that generates personalized educational plans based on user information provided by the server. This AI engine utilizes specific generative AI models to select tasks and learning modules that are appropriate for the user's interests and goals. Once the learning plan is generated, it is presented to the user through the user interface, providing an interactive educational experience.

[0463] Users can clearly input their business ideas on their terminal. For example, they might enter a prompt such as, "I want to build a new online education program." The server receives this and analyzes it using its built-in analytics system. As a result of the analysis, specific improvement suggestions are generated and provided as feedback to the user.

[0464] Furthermore, the server uses its information exchange and formation function to connect users with other entrepreneurs around the world. This allows users to participate in collaborative projects via their devices and gain diverse perspectives through international exchange. After joining a project, the server uses its resource management function to coordinate resource assistance and mentoring, supporting the success of the user's business plan.

[0465] In this way, the system is designed to provide multifaceted support tailored to the individual needs of users and to enhance the feasibility of business ideas.

[0466] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0467] Step 1:

[0468] The server receives initial user registration information from the terminal. This input information includes the user's name, email address, and areas of interest. The server analyzes this information and stores the user's profile in a database. This lays the foundation for subsequent personalization processes.

[0469] Step 2:

[0470] When a user logs into the system via their device, the server retrieves the user's profile information from the database and sends it to the device. Based on this information, the AI ​​engine within the device is activated. The AI ​​engine uses a generative AI model to automatically generate a personalized learning plan. In this process, the most suitable learning modules are selected based on the user's interests and goals.

[0471] Step 3:

[0472] The device displays the generated educational plan to the user through a user interface. The user can then work on the tasks presented on this interface, and the learning activity begins. In response to the user's actions, the AI ​​engine provides real-time feedback.

[0473] Step 4:

[0474] The user uses a terminal to input their business idea as a prompt. A typical example might be, "I want to build a new online education program." The server receives this input and processes it using an AI analysis system. Specifically, the server uses a generative AI model to analyze the strengths and weaknesses of the input idea and suggests areas for improvement.

[0475] Step 5:

[0476] The server returns the analysis results to the terminal and provides the user with feedback on improvement suggestions. The user interface on the terminal displays this feedback, allowing the user to review and revise their business plan based on the suggested improvements.

[0477] Step 6:

[0478] The server uses networking mechanisms to connect users with other entrepreneurial participants. This information exchange gives users the opportunity to participate in collaborative projects via their terminals. The server provides detailed project information and communication channels to support users in effectively collaborating.

[0479] Step 7:

[0480] If a user's submitted business plan is deemed excellent, the server will use resource management tools to arrange resource assistance and mentoring sessions. The server will coordinate opportunities for financial support and expert guidance and notify the user. Based on this, the user can more effectively proceed with the execution of their plan.

[0481] (Application Example 1)

[0482] 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."

[0483] In today's business development environment, there is a problem in that it is difficult for individual entrepreneurs to receive efficient and personalized support for the challenges they face. In particular, the lack of mechanisms that provide collaborative work from a global perspective, efficient allocation of resources, and interactive learning experiences makes it difficult to improve the quality and feasibility of business plans. This invention aims to solve such problems and provide a comprehensive environment that improves the success rate of entrepreneurial activities.

[0484] 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.

[0485] In this invention, the server includes intelligent means for collecting user information and generating personalized learning plans, user interface means for providing an interactive learning experience, business plan development support means, network formation means for coordinating collaborative work with other users, resource management means, visualization means for facilitating interaction in a virtual environment, and simulation means. This enables users to access a real-time learning and collaboration environment tailored to their individual profiles, allowing for high-quality planning and implementation for global business expansion.

[0486] "User information" refers to data about individual users' profiles and behavioral history, which is used to personalize learning plans.

[0487] A "learning plan" is a customized educational curriculum generated based on user information, aimed at improving specific skills and knowledge.

[0488] "Intelligent tools" refer to the functions of artificial intelligence that analyze user information and generate a learning plan based on that analysis.

[0489] A "user interface" is a system interface that presents learning content to the user and enables two-way communication.

[0490] The "business plan development support tool" is a function that analyzes business ideas provided by users and provides feedback with improvement suggestions.

[0491] A "network formation mechanism" is a connection mechanism that facilitates collaboration and project participation among users, enabling international cooperation.

[0492] "Resource management tools" refer to functions that provide the necessary financial assistance and advice for a project and ensure the appropriate allocation of various resources.

[0493] "Visualization means" refers to a function that provides the visual information necessary to facilitate interaction and collaborative work among users in a virtual environment.

[0494] A "simulation tool" is a system that provides virtual exercises in a field of knowledge to improve the user's skills.

[0495] This invention is a system that generates personalized learning plans based on user information and provides users with an interactive learning experience. The server is equipped with intelligent means that generate learning plans tailored to each individual in real time based on profile information provided by the user. This intelligent means uses a generation AI model to analyze user information and construct a customized educational curriculum.

[0496] Users can access learning content through a user interface and receive interactive education according to their learning plan. For this reason, the terminal uses React Native as its frontend, enabling intuitive operation. Furthermore, when a user inputs a business idea, the server uses business plan development support tools to analyze the idea, suggest improvements, and provide feedback to the user. This is done using generative AI models such as GPT-4, improving the quality of the suggestions.

[0497] Furthermore, networking means enable users to participate in global collaborative work. Servers provide access to international projects and coordinate project-related funding and mentoring through resource management means. Visualization means facilitate interaction between users in the virtual environment, and simulation means provide users with virtual training in specific skills.

[0498] As a concrete example, suppose a user comes up with an idea for a new fitness app. The user can input this idea through the system and receive feedback from an AI assistant on market trends and differentiation strategies. After that, it is possible to collaborate with users in other countries to develop a marketing strategy and execute the plan. An example of a prompt would be, "I'm thinking of an idea for a new fitness app. What are the current market trends, what features are in demand, and how should I differentiate it?"

[0499] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0500] Step 1:

[0501] The server receives initial registration information entered by the user via their terminal. This information includes data such as the user's basic profile, areas of interest, and learning objectives, and the server stores this data in its database.

[0502] Step 2:

[0503] The server uses a generated AI model based on stored user information to create a personalized learning plan. Therefore, the server analyzes the input data and outputs a customized learning curriculum tailored to the user's objectives. As a result, learning content and a progress schedule are generated.

[0504] Step 3:

[0505] The terminal displays the generated learning plan on the user interface, through which the user accesses the learning modules. The input here is learning information provided by the server, and the output is adjusted to provide the user with an optimized learning experience.

[0506] Step 4:

[0507] When a user inputs a business idea on their device, the server analyzes the idea using business plan development support tools. This process requires the user's business idea as input and generates improvement suggestions using a generated AI model as output.

[0508] Step 5:

[0509] The server provides international collaborative work connections, linking users to other users through networking mechanisms. It uses each user's profile and current project status as input and lists possible collaborators and projects as output.

[0510] Step 6:

[0511] Utilizing resource management tools, the server coordinates funding and necessary mentoring for projects to which feedback has been applied. In this step, project progress and required resources are taken as input, and a list containing available support resources is generated as output.

[0512] Step 7:

[0513] Using visualization and simulation methods, the server facilitates collaboration in a virtual environment and provides skill training to users. Here, data on the user's progress and skill level is used as input, and visualized training sessions and simulation results are provided as output.

[0514] 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.

[0515] As an embodiment of the present invention, a configuration is provided in which an emotion engine is incorporated into an AI-assisted platform aimed at fostering personalized learning and entrepreneurship. This system generates a learning plan based on user information and further detects and analyzes the user's emotions to provide optimal feedback.

[0516] The system's program begins by collecting user information and generating a personalized learning plan using AI. When the user accesses the platform, an AI assistant presents the learning plan on the device. Furthermore, an emotion engine built into the device analyzes the user's emotions from their facial expressions, voice tone, and entered text data.

[0517] The server receives this emotional data immediately and makes necessary adjustments to the user's learning and business plan development. For example, if the emotional engine determines that the user is experiencing difficulties in learning, the server adjusts the learning plan to a less difficult one and presents it through the terminal. Conversely, if the user's emotional state is positive, the server will suggest challenging tasks, adapting in real time.

[0518] For example, if the emotion engine analyzes that a user is experiencing stress while developing a business idea, the system provides supplementary information and suggests introducing a relaxing, interactive mini-game. This helps the user regain focus and maintain the quality of their ideas.

[0519] Furthermore, the emotion engine is also effective when participating in international projects. If a user expresses anxiety about cross-cultural communication, the system suggests methods that facilitate interaction and adjusts the matching with other users. This allows users to participate in projects with confidence.

[0520] By incorporating an emotional engine in this way, it becomes possible to provide a dynamic learning environment and entrepreneurial support that adapts to user needs. This makes it possible to further support the development of entrepreneurial spirit in children.

[0521] The following describes the processing flow.

[0522] Step 1:

[0523] The user accesses the platform and enters information on the new registration screen. The device checks the required fields, and if there are no problems, sends the information to the server. The server saves the user information to the database and notifies the user that registration is complete.

[0524] Step 2:

[0525] The user enters additional profile information (interests, goals, learning style, etc.). The device sends this information to the server, which stores the data in a database.

[0526] Step 3:

[0527] The server uses an AI assistant to analyze profile information and generates a personalized learning plan based on the results. The device then displays the generated learning plan to the user.

[0528] Step 4:

[0529] The user selects a learning module through the device and begins learning. The device displays the module and prepares to analyze the user's input and actions in real time using the emotion engine.

[0530] Step 5:

[0531] The emotion engine built into the device analyzes the user's emotions through their facial expressions, voice tone, and input text. The analysis results are then sent from the device to the server.

[0532] Step 6:

[0533] The server receives sentiment data and determines whether the learning plan or the feedback provided needs to be adjusted. If necessary, it changes the difficulty level and content of the learning and sends and displays a new learning module to the device.

[0534] Step 7:

[0535] The device provides visual tools as users input business ideas and develop plans. An emotion engine evaluates the user's stress and satisfaction levels and provides support accordingly.

[0536] Step 8:

[0537] When a user wishes to participate in an international project, the device displays a list of projects and allows them to apply to participate in the proposed projects. The server coordinates the projects the user participates in and uses an emotion engine to provide communication support that takes the user's emotions into consideration.

[0538] Step 9:

[0539] When a user applies for project funding, the server reviews the application and determines the necessary assistance. The terminal notifies the user of the result, and if approved, arranges funding and mentoring programs.

[0540] (Example 2)

[0541] 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."

[0542] In modern personalized learning environments and entrepreneurship support systems, there is a lack of means to respond immediately to users' emotional states and learning needs, and to effectively adjust learning plans and business ideas. Furthermore, the lack of efficient information sharing functions to facilitate participation in international projects hinders user growth and success.

[0543] 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.

[0544] In this invention, the server includes information processing means for collecting user data and generating personalized learning plans, emotion recognition means for analyzing user emotions and adaptively adjusting learning content, and information sharing means for enabling participation in multinational projects. This optimizes the user's learning experience and enables smooth participation in international projects.

[0545] "User data" refers to all information about a user, including attribute information, behavioral history, and learning history.

[0546] An "individualized learning plan" refers to a learning process and selection of learning materials that are customized based on each user's characteristics and needs.

[0547] "Information processing means" refers to devices and technologies that perform computational processing and data analysis to analyze data acquired from users and generate personalized services.

[0548] "Emotion recognition means" refers to a system or technology that analyzes a user's emotions from their facial expressions, voice, text data, etc., to determine their current emotional state.

[0549] "Information sharing means" refers to communication and platform functions that enable users to exchange information with each other and facilitate collaborative work.

[0550] This invention aims to build a system that provides personalized support to users through learning and emotion recognition. The entire system consists of a server, a terminal, and a user interface.

[0551] First, when a user accesses the platform, the device collects user data. This data includes the user's past learning history and current goal settings. The device processes this data and sends it to the server.

[0552] The server analyzes the collected user data and generates personalized learning plans using a generative AI model. Specifically, it uses AI technology to select learning materials and tasks that match the user's interests and level of understanding. This learning plan is sent to the device and presented to the user in a visual and interactive format.

[0553] Furthermore, the device's built-in emotion recognition system analyzes the user's facial expressions and voice input. This information is transmitted to the server in real time, and adaptive adjustments are made to the learning content. For example, if the user is experiencing stress, the difficulty level of the learning plan is lowered.

[0554] For example, if the emotion engine detects anxiety while a user is creating a new business plan, the server will suggest relaxing interactive content. This allows the user to regain focus and develop a high-quality business plan.

[0555] An example of a prompt would be: "Explain how the emotion engine analyzes emotions and provides feedback when a user is creating a new business plan. Please also specify the name of the software being used."

[0556] In this way, this system provides a learning environment tailored to the individual needs of users and supports the development of entrepreneurial spirit.

[0557] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0558] Step 1:

[0559] When a user logs into the platform, the device collects user data. This data includes past learning history, current progress, and goal setting. Sensors such as cameras and microphones are also used to record the user's facial expressions and voice tone. The input data consists of user information and real-time emotional state, and this information is sent to the server.

[0560] Step 2:

[0561] Upon receiving user data, the server uses AI technology to generate a personalized learning plan. This involves a generative AI model that creates learning materials and assignments tailored to the user's interests and skill level. Data processing involves analyzing user attributes and generating an optimal learning path based on those attributes; the output is the learning plan sent to the device.

[0562] Step 3:

[0563] The terminal receives an individualized learning plan from the server and presents it to the user in an interactive format. The terminal uses a user interface to display learning materials clearly and support the user in easily engaging with them. The input is the learning plan from the server, and the output is the content displayed to the user.

[0564] Step 4:

[0565] The device continues to analyze the user's emotions using emotion recognition technology. The analysis targets facial expressions captured by the camera, voice acquired from the microphone, and text input. The input data represents the user's emotional state, and the cleaned emotion data is sent to the server as output. This emotion data will be used for future learning adjustments.

[0566] Step 5:

[0567] The server adaptively adjusts the learning content based on emotional data transmitted from the terminal. It adjusts the complexity of the learning plan to reduce the stress and anxiety the user is experiencing. It also provides more challenging tasks to highly motivated users. The input is emotional data, and the output is the adjusted learning plan.

[0568] Step 6:

[0569] The device receives an adaptive learning plan from the server and presents it to the user again. This supports learning in a way that is optimal for the user and encourages continuous growth. The final output is the adjusted learning experience received by the user.

[0570] (Application Example 2)

[0571] 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."

[0572] Traditional education and business support systems face the challenge of providing dynamic services that take into account the emotional state of individual users. Furthermore, there is a lack of systems capable of offering appropriate services and product suggestions tailored to the emotions of individual customers. Therefore, there is a need to provide optimal learning plans and business support based on the user's emotional state.

[0573] 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.

[0574] In this invention, the server includes information processing means for acquiring user information and creating an individualized educational plan based on said information, emotion analysis means for analyzing the user's emotional state and providing appropriate customer service and product recommendation information, and communication means for coordinating with other users. This makes it possible to provide an individualized experience in real time that is tailored to the user's emotional state.

[0575] "User information" refers to data such as personal attributes and behavioral history that the system collects from users.

[0576] "Information processing means" refers to a device or software for creating personalized educational plans based on collected user information.

[0577] "Display means" refers to a device or interface that visually presents personalized educational plans and related information to the user.

[0578] "Business planning support tools" are technologies or algorithms used to analyze a user's business concept and provide improvement suggestions.

[0579] "Communication methods" refer to network infrastructure and protocols used to exchange information and collaborate with other users.

[0580] "Resource management means" refers to a management system or method for providing funding and advice related to a project.

[0581] "Emotional analysis means" refers to a technology or program for analyzing a user's emotional state from data such as facial expressions and voice.

[0582] The system for carrying out this invention consists of a combination of multiple hardware and software components to facilitate the collection of user information, sentiment analysis, provision of personalized educational plans, and communication with others. First, the terminal collects user information. This information includes the user's profile data and activity history. Next, an information processing means creates a personalized educational plan from this information.

[0583] When a user accesses this educational plan through their device, the display system provides information through a visual interface. The device integrates a camera and microphone so that an emotion analysis system can analyze the user's emotional state from their facial expressions and voice. This analysis uses emotion analysis software such as the Microsoft Azure Emotion API, as an example.

[0584] Based on the user's emotional state and the progress of the training plan, the server dynamically adjusts the content of the training plan. For example, if a user is feeling stressed, the system can adjust the difficulty level and suggest relaxing breaks. Furthermore, communication methods enable smooth information exchange with other users, contributing to improved work plans.

[0585] For example, if the system analyzes that a user appears tired, it can display advice such as "recommend a new aromatherapy candle with relaxing effects." In this way, it is possible to provide a more user-friendly experience. An example of a prompt for the generating AI model is, "A new customer has entered the store. Analyze their emotions using the camera and microphone and generate real-time customer service advice."

[0586] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0587] Step 1:

[0588] The terminal collects user information. The input is the user's personal data and behavioral history, and the output is user profile data that is sent to the information processing device. Using this profile data, the information processing device prepares to create an individualized educational plan.

[0589] Step 2:

[0590] The terminal uses profile data to generate an individualized educational plan through its information processing capabilities. The input is the user's profile data, and the output is an educational plan tailored specifically to that user. This educational plan is customized based on the user's needs and goals.

[0591] Step 3:

[0592] The device uses its camera and microphone to capture facial images and audio to analyze the user's emotional state. The input is image and audio data, and the output is the analyzed emotional state. The emotion analysis tool identifies the emotional state using tools such as the Microsoft Azure Emotion API.

[0593] Step 4:

[0594] The server dynamically adjusts the plan based on the educational plan and the analyzed emotional state. The input is the individualized educational plan and emotional state, and the output is the adjusted educational plan. If the analysis indicates that the user is stressed, adjustments such as reducing the difficulty of the plan are made.

[0595] Step 5:

[0596] The device presents the user with a tailored educational plan and emotion-based advice through a display mechanism. The input is the tailored educational plan, and the output is the presentation of visual information to the user. For example, it might display advice such as, "We recommend a new aromatherapy candle with relaxing effects."

[0597] 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.

[0598] 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.

[0599] 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.

[0600] [Fourth Embodiment]

[0601] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0602] 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.

[0603] 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).

[0604] 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.

[0605] 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.

[0606] 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).

[0607] 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.

[0608] 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.

[0609] 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.

[0610] 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.

[0611] 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.

[0612] 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.

[0613] 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".

[0614] As an embodiment of the present invention, a system centered on an AI-assisted entrepreneur training platform is provided. This system generates personalized learning plans based on user information and supports efficient learning through an interactive user interface.

[0615] The system's program begins with the server receiving initial registration information from the user and storing it in a database. Once the user logs in, an artificial intelligence system on the terminal generates a personalized learning plan based on this information and presents it through the user interface. Through this interface, the user can access various learning modules and try out actual business plans.

[0616] In the business plan development support system, users input their business ideas, and the server generates suggested improvements based on AI analysis, which are then provided to the user as feedback via their device. This allows users to gradually improve their business skills.

[0617] Furthermore, by utilizing networking mechanisms, the server connects users with other aspiring entrepreneurs around the world, encouraging participation in collaborative projects. Users can engage in these projects via their devices, broadening their global perspective.

[0618] Through resource management mechanisms, the server provides funding opportunities for outstanding business plans and arranges mentoring sessions. This allows users to engage in entrepreneurial activities with a higher success rate while receiving practical support.

[0619] For example, if a user has an idea for a new educational program, they can input that idea on the platform and refine it based on feedback from an AI assistant. They can then collaborate with children in other countries on the project, and with funding, it can even be brought to market as an actual product.

[0620] In this way, the goal is to foster entrepreneurial spirit in children by coordinating various methods and providing a comprehensive environment for realizing users' ideas.

[0621] The following describes the processing flow.

[0622] Step 1:

[0623] The user accesses the platform and enters information on the new registration screen. The device verifies the required fields. The server receives the information, saves it to the database, and sends a confirmation email to the user.

[0624] Step 2:

[0625] The user logs in for the first time and enters profile information (interests, goals, learning style, etc.) via their device. The server receives this information and adds it to the database for storage.

[0626] Step 3:

[0627] The server uses an AI assistant to analyze profile information and generate a personalized learning plan. The device then visually displays this plan to the user.

[0628] Step 4:

[0629] When a user selects a learning module, the device displays an interactive module. The user progresses through the learning process and works on assignments.

[0630] Step 5:

[0631] The server collects user progress and response data and records it in a database. The AI ​​assistant generates real-time feedback and displays it on the device.

[0632] Step 6:

[0633] Users input their business ideas into the platform. The device provides visual tools to help users develop their plans. The server analyzes the ideas and provides improvement suggestions to the user through an AI assistant.

[0634] Step 7:

[0635] When a user expresses interest in participating in an international project, the server generates a list of available projects on the network and provides it to the terminal. The user selects a project, and the server sets up the connection with other participants.

[0636] Step 8:

[0637] When a user applies for funding for a project, the server reviews the application and selects eligible projects. The terminal notifies the user of the result and, if selected, arranges funding and mentoring.

[0638] (Example 1)

[0639] 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".

[0640] Traditional entrepreneurship development programs have had the problem of being unable to provide support tailored to the individual needs of users or offer opportunities for international collaboration. As a result, users are unable to obtain accurate advice and resources, leading to an inefficient process for realizing their business ideas.

[0641] 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.

[0642] In this invention, the server includes intelligent means for collecting user information and generating an individualized educational plan based on said information; user interface means for providing the user with an interactive educational experience based on said educational plan; and business plan formulation support means for analyzing the user's business idea and providing feedback with improvement suggestions. This makes it possible to provide users with individually customized educational programs and further enhance the likelihood of business success through international cooperation and resource assistance.

[0643] "User information" refers to data about the user's characteristics, interests, and goals.

[0644] An "individualized learning plan" is an educational plan in which specific learning modules and assignments are selected based on the user's information.

[0645] "Intelligent tools" are technologies that utilize artificial intelligence to perform specific tasks.

[0646] An "interactive educational experience" is an interactive teaching method in which users can actively participate in learning and receive feedback.

[0647] "User interface means" refers to user interface technology that allows users to interact directly with a system.

[0648] A "business idea" is a concept or plan for a new business proposed by a user.

[0649] "Improvement suggestions" are specific advice or points of feedback that can make a business idea better.

[0650] "Business plan development support tools" are technologies that analyze a user's business idea and provide advice for improvement.

[0651] "Information exchange and formation means" refers to technologies that enable users to share knowledge and information with others and collaborate on projects.

[0652] "Resource assistance" refers to providing the necessary funds, materials, and personnel support to implement a project plan.

[0653] "Resource management means" refers to system technologies for efficiently distributing and managing available resources.

[0654] This invention aims to realize a system that utilizes artificial intelligence to provide personalized educational experiences in order to support users' entrepreneurial activities. Its specific form is described below.

[0655] The server first receives initial registration information from the user and securely stores this information in a database. This initial registration information is used as basic data to understand the user's characteristics. Then, when the user logs in via a terminal, the server begins preparing to analyze the data in storage.

[0656] The device includes an AI-powered learning plan generation engine that generates personalized educational plans based on user information provided by the server. This AI engine utilizes specific generative AI models to select tasks and learning modules that are appropriate for the user's interests and goals. Once the learning plan is generated, it is presented to the user through the user interface, providing an interactive educational experience.

[0657] Users can clearly input their business ideas on their terminal. For example, they might enter a prompt such as, "I want to build a new online education program." The server receives this and analyzes it using its built-in analytics system. As a result of the analysis, specific improvement suggestions are generated and provided as feedback to the user.

[0658] Furthermore, the server uses its information exchange and formation function to connect users with other entrepreneurs around the world. This allows users to participate in collaborative projects via their devices and gain diverse perspectives through international exchange. After joining a project, the server uses its resource management function to coordinate resource assistance and mentoring, supporting the success of the user's business plan.

[0659] In this way, the system is designed to provide multifaceted support tailored to the individual needs of users and to enhance the feasibility of business ideas.

[0660] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0661] Step 1:

[0662] The server receives initial user registration information from the terminal. This input information includes the user's name, email address, and areas of interest. The server analyzes this information and stores the user's profile in a database. This lays the foundation for subsequent personalization processes.

[0663] Step 2:

[0664] When a user logs into the system via their device, the server retrieves the user's profile information from the database and sends it to the device. Based on this information, the AI ​​engine within the device is activated. The AI ​​engine uses a generative AI model to automatically generate a personalized learning plan. In this process, the most suitable learning modules are selected based on the user's interests and goals.

[0665] Step 3:

[0666] The device displays the generated educational plan to the user through a user interface. The user can then work on the tasks presented on this interface, and the learning activity begins. In response to the user's actions, the AI ​​engine provides real-time feedback.

[0667] Step 4:

[0668] The user uses a terminal to input their business idea as a prompt. A typical example might be, "I want to build a new online education program." The server receives this input and processes it using an AI analysis system. Specifically, the server uses a generative AI model to analyze the strengths and weaknesses of the input idea and suggests areas for improvement.

[0669] Step 5:

[0670] The server returns the analysis results to the terminal and provides the user with feedback on improvement suggestions. The user interface on the terminal displays this feedback, allowing the user to review and revise their business plan based on the suggested improvements.

[0671] Step 6:

[0672] The server uses networking mechanisms to connect users with other entrepreneurial participants. This information exchange gives users the opportunity to participate in collaborative projects via their terminals. The server provides detailed project information and communication channels to support users in effectively collaborating.

[0673] Step 7:

[0674] If a user's submitted business plan is deemed excellent, the server will use resource management tools to arrange resource assistance and mentoring sessions. The server will coordinate opportunities for financial support and expert guidance and notify the user. Based on this, the user can more effectively proceed with the execution of their plan.

[0675] (Application Example 1)

[0676] 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".

[0677] In today's business development environment, there is a problem in that it is difficult for individual entrepreneurs to receive efficient and personalized support for the challenges they face. In particular, the lack of mechanisms that provide collaborative work from a global perspective, efficient allocation of resources, and interactive learning experiences makes it difficult to improve the quality and feasibility of business plans. This invention aims to solve such problems and provide a comprehensive environment that improves the success rate of entrepreneurial activities.

[0678] 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.

[0679] In this invention, the server includes intelligent means for collecting user information and generating personalized learning plans, user interface means for providing an interactive learning experience, business plan development support means, network formation means for coordinating collaborative work with other users, resource management means, visualization means for facilitating interaction in a virtual environment, and simulation means. This enables users to access a real-time learning and collaboration environment tailored to their individual profiles, allowing for high-quality planning and implementation for global business expansion.

[0680] "User information" refers to data about individual users' profiles and behavioral history, which is used to personalize learning plans.

[0681] A "learning plan" is a customized educational curriculum generated based on user information, aimed at improving specific skills and knowledge.

[0682] "Intelligent tools" refer to the functions of artificial intelligence that analyze user information and generate a learning plan based on that analysis.

[0683] A "user interface" is a system interface that presents learning content to the user and enables two-way communication.

[0684] The "business plan development support tool" is a function that analyzes business ideas provided by users and provides feedback with improvement suggestions.

[0685] A "network formation mechanism" is a connection mechanism that facilitates collaboration and project participation among users, enabling international cooperation.

[0686] "Resource management tools" refer to functions that provide the necessary financial assistance and advice for a project and ensure the appropriate allocation of various resources.

[0687] "Visualization means" refers to a function that provides the visual information necessary to facilitate interaction and collaborative work among users in a virtual environment.

[0688] A "simulation tool" is a system that provides virtual exercises in a field of knowledge to improve the user's skills.

[0689] This invention is a system that generates personalized learning plans based on user information and provides users with an interactive learning experience. The server is equipped with intelligent means that generate learning plans tailored to each individual in real time based on profile information provided by the user. This intelligent means uses a generation AI model to analyze user information and construct a customized educational curriculum.

[0690] Users can access learning content through a user interface and receive interactive education according to their learning plan. For this reason, the terminal uses React Native as its frontend, enabling intuitive operation. Furthermore, when a user inputs a business idea, the server uses business plan development support tools to analyze the idea, suggest improvements, and provide feedback to the user. This is done using generative AI models such as GPT-4, improving the quality of the suggestions.

[0691] Furthermore, networking means enable users to participate in global collaborative work. Servers provide access to international projects and coordinate project-related funding and mentoring through resource management means. Visualization means facilitate interaction between users in the virtual environment, and simulation means provide users with virtual training in specific skills.

[0692] As a concrete example, suppose a user comes up with an idea for a new fitness app. The user can input this idea through the system and receive feedback from an AI assistant on market trends and differentiation strategies. After that, it is possible to collaborate with users in other countries to develop a marketing strategy and execute the plan. An example of a prompt would be, "I'm thinking of an idea for a new fitness app. What are the current market trends, what features are in demand, and how should I differentiate it?"

[0693] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0694] Step 1:

[0695] The server receives initial registration information entered by the user via their terminal. This information includes data such as the user's basic profile, areas of interest, and learning objectives, and the server stores this data in its database.

[0696] Step 2:

[0697] The server uses a generated AI model based on stored user information to create a personalized learning plan. Therefore, the server analyzes the input data and outputs a customized learning curriculum tailored to the user's objectives. As a result, learning content and a progress schedule are generated.

[0698] Step 3:

[0699] The terminal displays the generated learning plan on the user interface, through which the user accesses the learning modules. The input here is learning information provided by the server, and the output is adjusted to provide the user with an optimized learning experience.

[0700] Step 4:

[0701] When a user inputs a business idea on their device, the server analyzes the idea using business plan development support tools. This process requires the user's business idea as input and generates improvement suggestions using a generated AI model as output.

[0702] Step 5:

[0703] The server provides international collaborative work connections, linking users to other users through networking mechanisms. It uses each user's profile and current project status as input and lists possible collaborators and projects as output.

[0704] Step 6:

[0705] Utilizing resource management tools, the server coordinates funding and necessary mentoring for projects to which feedback has been applied. In this step, project progress and required resources are taken as input, and a list containing available support resources is generated as output.

[0706] Step 7:

[0707] Using visualization and simulation methods, the server facilitates collaboration in a virtual environment and provides skill training to users. Here, data on the user's progress and skill level is used as input, and visualized training sessions and simulation results are provided as output.

[0708] 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.

[0709] As an embodiment of the present invention, a configuration is provided in which an emotion engine is incorporated into an AI-assisted platform aimed at fostering personalized learning and entrepreneurship. This system generates a learning plan based on user information and further detects and analyzes the user's emotions to provide optimal feedback.

[0710] The system's program begins by collecting user information and generating a personalized learning plan using AI. When the user accesses the platform, an AI assistant presents the learning plan on the device. Furthermore, an emotion engine built into the device analyzes the user's emotions from their facial expressions, voice tone, and entered text data.

[0711] The server receives this emotional data immediately and makes necessary adjustments to the user's learning and business plan development. For example, if the emotional engine determines that the user is experiencing difficulties in learning, the server adjusts the learning plan to a less difficult one and presents it through the terminal. Conversely, if the user's emotional state is positive, the server will suggest challenging tasks, adapting in real time.

[0712] For example, if the emotion engine analyzes that a user is experiencing stress while developing a business idea, the system provides supplementary information and suggests introducing a relaxing, interactive mini-game. This helps the user regain focus and maintain the quality of their ideas.

[0713] Furthermore, the emotion engine is also effective when participating in international projects. If a user expresses anxiety about cross-cultural communication, the system suggests methods that facilitate interaction and adjusts the matching with other users. This allows users to participate in projects with confidence.

[0714] By incorporating an emotional engine in this way, it becomes possible to provide a dynamic learning environment and entrepreneurial support that adapts to user needs. This makes it possible to further support the development of entrepreneurial spirit in children.

[0715] The following describes the processing flow.

[0716] Step 1:

[0717] The user accesses the platform and enters information on the new registration screen. The device checks the required fields, and if there are no problems, sends the information to the server. The server saves the user information to the database and notifies the user that registration is complete.

[0718] Step 2:

[0719] The user enters additional profile information (interests, goals, learning style, etc.). The device sends this information to the server, which stores the data in a database.

[0720] Step 3:

[0721] The server uses an AI assistant to analyze profile information and generates a personalized learning plan based on the results. The device then displays the generated learning plan to the user.

[0722] Step 4:

[0723] The user selects a learning module through the device and begins learning. The device displays the module and prepares to analyze the user's input and actions in real time using the emotion engine.

[0724] Step 5:

[0725] The emotion engine built into the device analyzes the user's emotions through their facial expressions, voice tone, and input text. The analysis results are then sent from the device to the server.

[0726] Step 6:

[0727] The server receives sentiment data and determines whether the learning plan or the feedback provided needs to be adjusted. If necessary, it changes the difficulty level and content of the learning and sends and displays a new learning module to the device.

[0728] Step 7:

[0729] The device provides visual tools as users input business ideas and develop plans. An emotion engine evaluates the user's stress and satisfaction levels and provides support accordingly.

[0730] Step 8:

[0731] When a user wishes to participate in an international project, the device displays a list of projects and allows them to apply to participate in the proposed projects. The server coordinates the projects the user participates in and uses an emotion engine to provide communication support that takes the user's emotions into consideration.

[0732] Step 9:

[0733] When a user applies for project funding, the server reviews the application and determines the necessary assistance. The terminal notifies the user of the result, and if approved, arranges funding and mentoring programs.

[0734] (Example 2)

[0735] 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".

[0736] In modern personalized learning environments and entrepreneurship support systems, there is a lack of means to respond immediately to users' emotional states and learning needs, and to effectively adjust learning plans and business ideas. Furthermore, the lack of efficient information sharing functions to facilitate participation in international projects hinders user growth and success.

[0737] 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.

[0738] In this invention, the server includes information processing means for collecting user data and generating personalized learning plans, emotion recognition means for analyzing user emotions and adaptively adjusting learning content, and information sharing means for enabling participation in multinational projects. This optimizes the user's learning experience and enables smooth participation in international projects.

[0739] "User data" refers to all information about a user, including attribute information, behavioral history, and learning history.

[0740] An "individualized learning plan" refers to a learning process and selection of learning materials that are customized based on each user's characteristics and needs.

[0741] "Information processing means" refers to devices and technologies that perform computational processing and data analysis to analyze data acquired from users and generate personalized services.

[0742] "Emotion recognition means" refers to a system or technology that analyzes a user's emotions from their facial expressions, voice, text data, etc., to determine their current emotional state.

[0743] "Information sharing means" refers to communication and platform functions that enable users to exchange information with each other and facilitate collaborative work.

[0744] This invention aims to build a system that provides personalized support to users through learning and emotion recognition. The entire system consists of a server, a terminal, and a user interface.

[0745] First, when a user accesses the platform, the device collects user data. This data includes the user's past learning history and current goal settings. The device processes this data and sends it to the server.

[0746] The server analyzes the collected user data and generates personalized learning plans using a generative AI model. Specifically, it uses AI technology to select learning materials and tasks that match the user's interests and level of understanding. This learning plan is sent to the device and presented to the user in a visual and interactive format.

[0747] Furthermore, the device's built-in emotion recognition system analyzes the user's facial expressions and voice input. This information is transmitted to the server in real time, and adaptive adjustments are made to the learning content. For example, if the user is experiencing stress, the difficulty level of the learning plan is lowered.

[0748] For example, if the emotion engine detects anxiety while a user is creating a new business plan, the server will suggest relaxing interactive content. This allows the user to regain focus and develop a high-quality business plan.

[0749] An example of a prompt would be: "Explain how the emotion engine analyzes emotions and provides feedback when a user is creating a new business plan. Please also specify the name of the software being used."

[0750] In this way, this system provides a learning environment tailored to the individual needs of users and supports the development of entrepreneurial spirit.

[0751] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0752] Step 1:

[0753] When a user logs into the platform, the device collects user data. This data includes past learning history, current progress, and goal setting. Sensors such as cameras and microphones are also used to record the user's facial expressions and voice tone. The input data consists of user information and real-time emotional state, and this information is sent to the server.

[0754] Step 2:

[0755] Upon receiving user data, the server uses AI technology to generate a personalized learning plan. This involves a generative AI model that creates learning materials and assignments tailored to the user's interests and skill level. Data processing involves analyzing user attributes and generating an optimal learning path based on those attributes; the output is the learning plan sent to the device.

[0756] Step 3:

[0757] The terminal receives an individualized learning plan from the server and presents it to the user in an interactive format. The terminal uses a user interface to display learning materials clearly and support the user in easily engaging with them. The input is the learning plan from the server, and the output is the content displayed to the user.

[0758] Step 4:

[0759] The device continues to analyze the user's emotions using emotion recognition technology. The analysis targets facial expressions captured by the camera, voice acquired from the microphone, and text input. The input data represents the user's emotional state, and the cleaned emotion data is sent to the server as output. This emotion data will be used for future learning adjustments.

[0760] Step 5:

[0761] The server adaptively adjusts the learning content based on emotional data transmitted from the terminal. It adjusts the complexity of the learning plan to reduce the stress and anxiety the user is experiencing. It also provides more challenging tasks to highly motivated users. The input is emotional data, and the output is the adjusted learning plan.

[0762] Step 6:

[0763] The device receives an adaptive learning plan from the server and presents it to the user again. This supports learning in a way that is optimal for the user and encourages continuous growth. The final output is the adjusted learning experience received by the user.

[0764] (Application Example 2)

[0765] 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".

[0766] Traditional education and business support systems face the challenge of providing dynamic services that take into account the emotional state of individual users. Furthermore, there is a lack of systems capable of offering appropriate services and product suggestions tailored to the emotions of individual customers. Therefore, there is a need to provide optimal learning plans and business support based on the user's emotional state.

[0767] 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.

[0768] In this invention, the server includes information processing means for acquiring user information and creating an individualized educational plan based on said information, emotion analysis means for analyzing the user's emotional state and providing appropriate customer service and product recommendation information, and communication means for coordinating with other users. This makes it possible to provide an individualized experience in real time that is tailored to the user's emotional state.

[0769] "User information" refers to data such as personal attributes and behavioral history that the system collects from users.

[0770] "Information processing means" refers to a device or software for creating personalized educational plans based on collected user information.

[0771] "Display means" refers to a device or interface that visually presents personalized educational plans and related information to the user.

[0772] "Business planning support tools" are technologies or algorithms used to analyze a user's business concept and provide improvement suggestions.

[0773] "Communication methods" refer to network infrastructure and protocols used to exchange information and collaborate with other users.

[0774] "Resource management means" refers to a management system or method for providing funding and advice related to a project.

[0775] "Emotional analysis means" refers to a technology or program for analyzing a user's emotional state from data such as facial expressions and voice.

[0776] The system for carrying out this invention consists of a combination of multiple hardware and software components to facilitate the collection of user information, sentiment analysis, provision of personalized educational plans, and communication with others. First, the terminal collects user information. This information includes the user's profile data and activity history. Next, an information processing means creates a personalized educational plan from this information.

[0777] When a user accesses this educational plan through their device, the display system provides information through a visual interface. The device integrates a camera and microphone so that an emotion analysis system can analyze the user's emotional state from their facial expressions and voice. This analysis uses emotion analysis software such as the Microsoft Azure Emotion API, as an example.

[0778] Based on the user's emotional state and the progress of the training plan, the server dynamically adjusts the content of the training plan. For example, if a user is feeling stressed, the system can adjust the difficulty level and suggest relaxing breaks. Furthermore, communication methods enable smooth information exchange with other users, contributing to improved work plans.

[0779] For example, if the system analyzes that a user appears tired, it can display advice such as "recommend a new aromatherapy candle with relaxing effects." In this way, it is possible to provide a more user-friendly experience. An example of a prompt for the generating AI model is, "A new customer has entered the store. Analyze their emotions using the camera and microphone and generate real-time customer service advice."

[0780] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0781] Step 1:

[0782] The terminal collects user information. The input is the user's personal data and behavioral history, and the output is user profile data that is sent to the information processing device. Using this profile data, the information processing device prepares to create an individualized educational plan.

[0783] Step 2:

[0784] The terminal uses profile data to generate an individualized educational plan through its information processing capabilities. The input is the user's profile data, and the output is an educational plan tailored specifically to that user. This educational plan is customized based on the user's needs and goals.

[0785] Step 3:

[0786] The device uses its camera and microphone to capture facial images and audio to analyze the user's emotional state. The input is image and audio data, and the output is the analyzed emotional state. The emotion analysis tool identifies the emotional state using tools such as the Microsoft Azure Emotion API.

[0787] Step 4:

[0788] The server dynamically adjusts the plan based on the educational plan and the analyzed emotional state. The input is the individualized educational plan and emotional state, and the output is the adjusted educational plan. If the analysis indicates that the user is stressed, adjustments such as reducing the difficulty of the plan are made.

[0789] Step 5:

[0790] The device presents the user with a tailored educational plan and emotion-based advice through a display mechanism. The input is the tailored educational plan, and the output is the presentation of visual information to the user. For example, it might display advice such as, "We recommend a new aromatherapy candle with relaxing effects."

[0791] 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.

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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."

[0800] 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.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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.

[0805] 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.

[0806] 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.

[0807] 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.

[0808] 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.

[0809] 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.

[0810] 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.

[0811] 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 to be incorporated by reference.

[0812] The following is further disclosed regarding the embodiments described above.

[0813] (Claim 1)

[0814] An artificial intelligence means for collecting user information and generating an individualized learning plan based on said information,

[0815] A user interface means that provides the user with an interactive learning experience based on the aforementioned learning plan,

[0816] A business plan development support tool that analyzes users' business ideas and provides feedback on improvement suggestions,

[0817] A means of forming a network for collaborating with other users on projects,

[0818] Resource management tools that provide financial support and mentoring for projects,

[0819] A system that includes this.

[0820] (Claim 2)

[0821] The system according to claim 1, wherein the personalized learning plan is updated in real time based on the user's profile information.

[0822] (Claim 3)

[0823] The system according to claim 1, wherein the network forming means enables participation in an international project.

[0824] "Example 1"

[0825] (Claim 1)

[0826] An intelligent means for collecting user information and generating an individualized educational plan based on said information,

[0827] A user interface means that provides the user with an interactive educational experience based on the aforementioned educational plan,

[0828] A business plan development support tool that analyzes users' business ideas and provides feedback with improvement suggestions,

[0829] A means of facilitating information exchange to enable collaborative work with other users,

[0830] Resource management means that provide resource assistance and guidance for collaborative work,

[0831] A system that includes this.

[0832] (Claim 2)

[0833] The system according to claim 1, wherein the personalized education plan is updated immediately based on the user's characteristic information.

[0834] (Claim 3)

[0835] The system according to claim 1, wherein the information exchange formation means enables participation in global collaborative work.

[0836] "Application Example 1"

[0837] (Claim 1)

[0838] An intelligent means for collecting user information and generating an individualized learning plan based on said information,

[0839] A user interface means that provides the user with an interactive learning experience based on the aforementioned learning plan,

[0840] A business plan development support tool that analyzes the user's business concept and proposes improvement plans,

[0841] A means for forming a network to coordinate collaborative work with other users,

[0842] Resource management tools that provide financial assistance and advice for collaborative work,

[0843] A visualization tool that provides a platform for users to collaborate with other users based on user-generated plans and facilitates interaction in a virtual environment,

[0844] A simulation method that provides training functions through simulation in the knowledge domain and provides feedback,

[0845] A system that includes this.

[0846] (Claim 2)

[0847] The system according to claim 1, wherein the personalized learning plan is updated in real time based on the user's profile information.

[0848] (Claim 3)

[0849] The system according to claim 1, wherein the network forming means enables participation in international collaborative work.

[0850] "Example 2 of combining an emotion engine"

[0851] (Claim 1)

[0852] Information processing means for collecting user data and generating an individualized learning plan based on said data,

[0853] A display means that provides the user with a dynamic learning environment based on the aforementioned learning plan,

[0854] An emotion recognition means that analyzes the user's emotions and adaptively adjusts the learning content based on the analysis,

[0855] Information sharing means to facilitate collaboration with other users,

[0856] Support mechanisms for managing project guidance and resources,

[0857] A system that includes this.

[0858] (Claim 2)

[0859] The system according to claim 1, wherein the personalized learning plan is immediately adjusted based on the user's status information.

[0860] (Claim 3)

[0861] The system according to claim 1, wherein the information sharing means enables participation in multinational operations.

[0862] "Application example 2 when combining with an emotional engine"

[0863] (Claim 1)

[0864] Information processing means for acquiring user information and creating an individualized educational plan based on said information,

[0865] A display means that provides the user with an interactive learning experience based on the aforementioned educational plan,

[0866] A business planning support tool that analyzes the user's business concept and provides improvement suggestions,

[0867] A means of communication for coordinating with other users,

[0868] Resource management tools that provide funding and advice for projects,

[0869] An emotion analysis tool for analyzing the emotional state of users and providing appropriate customer service and product recommendation information,

[0870] A system that includes this.

[0871] (Claim 2)

[0872] The system according to claim 1, wherein the personalized education plan is updated in real time based on the user's profile information.

[0873] (Claim 3)

[0874] The system according to claim 1, wherein the communication means enables participation in an international project. [Explanation of Symbols]

[0875] 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. An artificial intelligence means for collecting user information and generating an individualized learning plan based on said information, A user interface means that provides the user with an interactive learning experience based on the aforementioned learning plan, A business plan development support tool that analyzes users' business ideas and provides feedback on improvement suggestions, A means of forming a network for collaborating with other users on projects, Resource management tools that provide financial support and mentoring for projects, A system that includes this.

2. The system according to claim 1, wherein the personalized learning plan is updated in real time based on the user's profile information.

3. The system according to claim 1, wherein the network forming means enables participation in an international project.

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