system

Abstract

Provide a system. A means for a user to set and input their own future goals; A means for automatically generating learning content and a learning roadmap based on the set goals; A means for inputting and recording the user's learning progress; a means for managing the recorded progress and providing feedback to the user; A system including:

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Many people today have goals for their future and continue to study and work hard toward them. However, there is a lack of appropriate advice and management tools on what learning content to select and how to plan and progress along the way. This often results in inefficient and effective learning. Furthermore, there are limited means to objectively grasp one's own progress and obtain necessary feedback. This can ultimately make it difficult to achieve one's goals. Therefore, there is a need for a system that allows users to study efficiently toward their goals, accurately grasp their progress, and receive appropriate feedback. [Means for solving the problem]

[0005] To solve this problem, the present invention provides the following means. First, a means for a user to set and input their own future goals is provided. Next, a means for automatically generating learning content and a learning roadmap based on the set goals is provided. Also, a means for inputting and recording the user's learning progress is provided, and a means for managing the recorded progress and providing feedback to the user is also provided. This allows the user to study efficiently, properly understand their own progress, and receive necessary feedback. In particular, the automatic generation of learning content and a learning roadmap utilizes a means for retrieving related information from a database or an external API, and provides a learning plan that is optimal for the user's goals. Furthermore, in terms of progress management, a means for sending reminders if the user is behind schedule and a means for providing feedback on the next study step and advice are provided, thereby enhancing support for goal achievement.

[0006] "User" means an individual or organization that uses the system.

[0007] A "goal" refers to a future state or appearance that a user wants to achieve.

[0008] An "input means" is an interface or device that a user uses to input information into a system.

[0009] "Learning content" is information containing specific knowledge and skills that a user must learn to achieve a goal.

[0010] A "learning roadmap" is a step-by-step plan for effectively and efficiently progressing through learning toward a user's set goals.

[0011] "Automatic generation means" refers to mechanisms or algorithms that automatically create learning content and learning roadmaps based on input goals.

[0012] "Progress" is information that indicates how far the user has progressed in learning toward a goal.

[0013] A "recording means" is a method or system for saving and maintaining a user's progress.

[0014] "Control measures" are systems and processes for organizing and analyzing recorded progress and providing appropriate feedback.

[0015] A "feedback mechanism" is a method or system for providing advice or information to a user about their learning progress or next steps.

[0016] A "database" is a structured collection of data that allows information to be efficiently stored, accessed, and searched.

[0017] An "external API" is an interface for accessing third-party services and data. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8]FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0019] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0021] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0022] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0023] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0024] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0025] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0026] [First embodiment]

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

[0028] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0029] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0030] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0031] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0032] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0033] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0035] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0036] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0037] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0038] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0039] The present invention provides a system that allows users to set their own future goals and efficiently study toward those goals. The functions and processing of this system are described in detail below.

[0040] User Registration and Login

[0041] The system first allows users to register their own account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[0042] goal setting

[0043] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[0044] Learning content and roadmap development

[0045] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[0046] Python Basics

[0047] Data analysis methods

[0048] Machine Learning Algorithms

[0049] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[0050] Progress management

[0051] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[0052] Progress tracking and feedback

[0053] The server periodically manages the recorded progress and provides feedback to the user. In particular, if the user is behind schedule, it sends reminders and offers next study steps and advice. This allows the user to study efficiently and receive support to achieve their goals.

[0054] Specific examples

[0055] Username: Yamada Taro

[0056] Goal: "Become a data scientist"

[0057] 1. Learning content example:

[0058] Python Basics

[0059] Data analysis methods

[0060] Machine Learning Algorithms

[0061] 2. User "Taro Yamada" enters that he has completed 50% of "Python Basics."

[0062] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[0063] The server displays feedback on the dashboard saying "You're 50% done with Python Basics."

[0064] This allows the system to help users study efficiently, properly understand their progress, and receive appropriate feedback. This is a specific embodiment of the present invention.

[0065] The processing flow will be explained below.

[0066] Step 1:

[0067] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The device then sends the entered data to the server.

[0068] Step 2:

[0069] The server receives the user information and stores it in the database. The server sends a registration completion email to the user and displays a message to the user saying "Registration completed."

[0070] Step 3:

[0071] The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server.

[0072] Step 4:

[0073] The server validates the input information, and if it matches, generates an authentication token and authenticates the user. The server then redirects the authenticated user to the dashboard.

[0074] Step 5:

[0075] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[0076] Step 6:

[0077] The server saves the goal information to the database. The server displays a message to the user saying "Goal saved."

[0078] Step 7:

[0079] The server retrieves relevant learning resources from a database or external API based on the user's goals. The server automatically generates learning content and a learning roadmap and stores them in the database.

[0080] Step 8:

[0081] The server displays the generated learning roadmap on the user's dashboard.

[0082] Step 9:

[0083] The user progresses through the learning content and enters their progress. When the "Update progress" button is pressed, the device sends the entered progress information to the server.

[0084] Step 10:

[0085] The server saves the progress information to the database. The server displays a message to the user that the update is complete.

[0086] Step 11:

[0087] The server periodically retrieves the user's progress data from the database and evaluates the progress. If the user is behind schedule, the server sends a reminder.

[0088] Step 12:

[0089] The server generates next study steps and advice based on the progress data and displays them as feedback on the user's dashboard.

[0090] This allows users to study efficiently and receive support to achieve their goals.

[0091] Example 1

[0092] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0093] Conventional learning support systems lack specific support for users to set their own future goals and efficiently progress toward them. Furthermore, the automatic generation of learning content and roadmaps is limited, and progress management and appropriate feedback are insufficient. This makes it difficult for users to efficiently progress toward achieving their goals.

[0094] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0095] In this invention, the server includes means for a user to set and input their own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, means for obtaining information related to the goals set by the user using a generative AI model and recommending learning content, and means for displaying the next learning step and advice based on the user's progress, thereby enabling the user to efficiently progress in their studies, properly understand their progress, and receive appropriate feedback.

[0096] A "user" is an entity that uses the system to set their own goals and manage their learning progress.

[0097] "Goals" are specific details of objectives or tasks that a user wants to achieve in the future.

[0098] "Learning content" is a collection of knowledge and skills necessary to achieve a user's goals.

[0099] A "learning roadmap" is a planning chart that shows the order in which a user should proceed with their learning in order to achieve their goal.

[0100] An "online form" is an electronic input means that allows a user to enter information or register through an interface such as a browser.

[0101] A "database" is a collection of information for efficiently storing and managing user information, learning content, progress, etc.

[0102] An "external API" is an interface that allows a system to obtain data from external services or sources.

[0103] A "generative AI model" is a model that uses artificial intelligence to generate and provide optimal information related to a user's goals.

[0104] "Input data" refers to information or instructions that a user enters into a system.

[0105] "Validation" is a procedure to check whether the data entered by the user conforms to specified standards and formats.

[0106] "Feedback" refers to information such as progress and advice provided to the user by the system.

[0107] A "reminder" is a notification that reminds the user of important information or next actions.

[0108] The present invention provides a system that allows a user to set his or her own future goals and efficiently study toward those goals. The system based on the present invention is implemented using the following specific hardware and software.

[0109] First, a user registers their account through a web page or mobile application. To do this, the user enters information such as their name, email address, and password into an online form and presses the registration button. This input data is sent from the device (personal computer or smartphone) to the server as an HTTP POST request.

[0110] The server receives the request and performs validation. For example, it checks whether the entered email address is in the correct format and whether the password meets certain requirements. If validation is successful, the server saves the user data in a database (e.g., PostgreSQL) and sends a registration completion email to the user using an SMTP server (e.g., SendGrid).

[0111] Next, when a user logs in, they enter their email address and password into the login form. The device sends the entered data to the server, which then verifies it against the information in the database. If authentication is successful, the user is redirected to the dashboard page.

[0112] After logging in, the user enters their goal into the goal setting form on the dashboard and presses the save button. This goal data is sent to the server again and saved in the database. The server then displays a message to the user saying "Goal saved."

[0113] The server automatically generates learning content and a learning roadmap based on the set goals. The server retrieves relevant information from a database or external API (e.g., YouTube® Data API) and then recommends optimal learning content using a generative AI model (e.g., GPT-4®). The generated learning roadmap is stored in a database and displayed on the user's dashboard.

[0114] As users progress through their studies, they enter their progress on the dashboard and send the data to the server, which stores the data in a database and provides users with feedback on their progress and next steps, allowing them to study efficiently.

[0115] As a concrete example, if a user named "Yamada Taro" sets the goal of "becoming a data scientist," the server will generate a learning roadmap by listing learning content such as Python basics, data analysis techniques, and machine learning algorithms. If Yamada Taro enters that he has completed 50% of "Python basics," the server will save the progress data in the database and display the feedback "50% of Python basics completed" on the dashboard.

[0116] This system allows users to properly understand their own learning progress and proceed with their studies according to plan.

[0117] Prompt Sentence Examples

[0118] "Please explain what happens when a user fills out a registration form and registers an account."

[0119] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0120] Step 1:

[0121] User Registration

[0122] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The input data (name, email address, password) is sent from the terminal to the server as an HTTP POST request. The server receives the request and validates the data (checking the format and password strength). If validation is successful, the server saves the input data in a database and uses the SMTP server to send a registration completion email to the user's email address. The user can confirm that registration is complete by receiving the registration completion email.

[0123] Step 2:

[0124] Log in

[0125] The user enters their email address and password into the login form and presses the "Login" button. The input data (email address, password) is sent from the terminal to the server. The server receives the request and authenticates it by checking the information in the database. If the email address and password match, authentication is successful. After successful authentication, the server redirects the user to the dashboard page. When the user logs in, the dashboard is displayed.

[0126] Step 3:

[0127] goal setting

[0128] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The input data (goal) is sent from the terminal to the server. The server receives the request and saves the goal data in a database. The server then displays a message to the user saying "Goal saved." The user can confirm that goal setting has been completed.

[0129] Step 4:

[0130] Learning content and roadmap development

[0131] The server automatically generates learning content and a learning roadmap based on the set goals. The server retrieves relevant information from databases and external APIs, and then uses a generative AI model to recommend the optimal learning content. For example, if the goal is to "become a data scientist," the server will list learning content such as the basics of Python, data analysis techniques, and machine learning algorithms. The generated learning roadmap is saved in a database, and the server displays it on the user's dashboard. Users can view the learning roadmap to confirm their learning plan.

[0132] Step 5:

[0133] Progress management

[0134] Each time a user progresses with their learning based on the learning roadmap, they enter their progress on the dashboard. For example, they may enter that they have completed 50% of "Python Basics." The input data (progress rate) is sent from the device to the server. The server receives the progress data and stores it in a database. The server then displays feedback such as "You have completed 50% of Python Basics" on the user's dashboard. The user can then check their own learning progress.

[0135] Step 6:

[0136] Progress tracking and feedback

[0137] The server periodically checks the recorded progress and provides appropriate feedback to the user. For example, if progress is falling behind, it will send a reminder to the user and display the next study step or advice. The server can also analyze the progress data and adjust the study plan based on the results. This allows users to study efficiently and receive support toward achieving their goals.

[0138] (Application example 1)

[0139] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0140] Conventional factories and industrial environments lack systems for autonomously managing and optimizing robots' work efficiency and skill improvement. This makes it difficult for robots to effectively manage their progress and learn toward set goals. Furthermore, a lack of timely feedback and improvement suggestions prevents robots from achieving their full potential. The present invention aims to solve these problems.

[0141] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0142] In this invention, the server includes means for a user to set and input his or her own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, means for setting goals for factory or industrial robots to autonomously improve their work skills and efficiency and automatically generating learning content to achieve those goals, and means for recording the robot's work progress and providing feedback based on that progress. This makes it possible to support the robot in autonomously achieving its goals to improve its work efficiency, and to achieve optimal work performance through progress management and appropriate feedback.

[0143] "User" refers to a person or machine, including a robot, that uses the system.

[0144] A "goal" is a specific result or objective that a user or robot aims to achieve.

[0145] "Input means" refers to a method or device by which a user or robot provides data or information to a system.

[0146] "Learning content" refers to the specific learning items and materials required to acquire the knowledge and skills necessary to achieve a goal.

[0147] A "learning roadmap" is a learning progress plan or procedure manual that is automatically generated by the system based on set goals.

[0148] "Means for automatic generation" refers to the functions and methods that allow the system to automatically create learning content and learning roadmaps based on goal setting.

[0149] "Progress" refers to information that indicates the state and degree of progress that a user or robot is making toward a set goal.

[0150] "Feedback" refers to evaluations, advice, suggestions for next steps, etc. provided to users or robots.

[0151] "Factory and industrial robots" refer to machines and devices used in manufacturing and industrial fields to automate work and improve efficiency.

[0152] "Autonomously" refers to a user or robot making decisions and acting independently without external intervention or instructions.

[0153] "Work efficiency" refers to the work results and productivity achieved within a certain period of time.

[0154] "Learning content to achieve" refers to the specific items of knowledge and skills and practice methods required to achieve the goal.

[0155] "Recording means" refers to a device or method for registering and storing the progress and learning history of a user or robot.

[0156] The present invention provides a system that allows users to set their own future goals and efficiently study toward them. It also includes a system that allows factories and industrial robots to autonomously set goals to improve their work skills and efficiency, automatically generate learning content to achieve those goals, manage progress, and provide feedback.

[0157] User Registration and Login

[0158] The server first allows the user to register their account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[0159] goal setting

[0160] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[0161] Learning content and roadmap development

[0162] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[0163] Python Basics

[0164] Data analysis methods

[0165] Machine Learning Algorithms

[0166] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[0167] Progress management

[0168] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[0169] Progress tracking and feedback

[0170] The server periodically manages the recorded progress and provides feedback to the user. In particular, if the user is behind schedule, it sends reminders and offers next learning steps and advice. This allows the user to study efficiently and receive support to achieve their goals.

[0171] Self-learning for factories and industrial robots

[0172] The present invention also provides a system for factory and industrial robots to autonomously improve their work skills and efficiency. The server provides a means for setting goals to be achieved by the robot, and includes a means for automatically generating learning content and a learning roadmap based on the goals. For example, if a factory robot sets the goal of "improving transportation efficiency by 20%, the following learning content will be listed:

[0173] Analysis of optimal transport routes

[0174] Methods for reducing transport time

[0175] Checking safe operation

[0176] These learning contents are stored in a database as a learning roadmap dedicated to the robot, and the server provides the generated learning roadmap to the robot's control system.

[0177] Robot progress management and feedback

[0178] As the robot learns, it can record its progress and send it to the server. For example, if the robot inputs that it is 50% done with "analyzing the optimal transport route," the server stores that information in a database and suggests the next learning step. The server periodically manages the recorded progress and provides feedback to the robot. This allows the robot to learn more efficiently and improve work efficiency.

[0179] Examples of concrete examples and prompts

[0180] For example, if a user sets a goal of "becoming a data scientist" and has completed 50% of the learning content of "Python Basics," the server will suggest "data analysis techniques" as the next step and provide feedback. Similarly, if a factory robot sets a goal of "improving transportation efficiency by 20%" and reports its progress, the server will provide similar feedback. Examples of prompts for the generative AI model are as follows:

[0181] Username: Yamada Taro

[0182] Goal: Improve the transport efficiency of factory robots by 20%

[0183] Example of input prompt sentence:

[0184] Please create a learning content and roadmap to achieve Taro Yamada's goal of "improving the transport efficiency of factory robots by 20%."

[0185] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0186] Step 1:

[0187] The user registers their account. They enter their name, email address, and password into the registration form on the web page and press the "Register" button. The device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email.

[0188] Input: Name, Email Address, Password

[0189] Output: Registration completion email, user information saved to database

[0190] Step 2:

[0191] A user logs in. The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[0192] Input: Email address, Password

[0193] Output: User authenticated, redirected to dashboard

[0194] Step 3:

[0195] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in a database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[0196] Input: Goal

[0197] Output: Confirmation message for saving the goal, saving the goal to the database

[0198] Step 4:

[0199] Once the goal is set, the server automatically generates learning content and a learning roadmap based on the goal. The server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list related courses (i.e., Python basics, data analysis methods, and machine learning algorithms).

[0200] Input: Goal

[0201] Output: Learning content list, learning roadmap

[0202] Step 5:

[0203] The server displays the generated learning roadmap on the user's dashboard.

[0204] Input: Learning Roadmap

[0205] Output: Display on dashboard

[0206] Step 6:

[0207] The user progresses through their studies based on the learning roadmap. They enter their progress and send it to the server. For example, the user enters that they have completed 50% of "Python Basics." The device sends the entered progress data to the server. The server stores information such as the user ID, learning items, and progress rate in a database.

[0208] Input: Progress (e.g. Python Basics 50% complete)

[0209] Output: Save progress data to database

[0210] Step 7:

[0211] The server provides feedback to the user based on their progress, such as displaying a message on the dashboard saying, "You've completed 50% of Python basics." It also suggests "data analysis techniques" as the next learning step.

[0212] Input: Progress data

[0213] Output: Feedback message, suggested next steps

[0214] Step 8:

[0215] Factory and industrial robots autonomously set goals. For example, a robot sets a goal of "improving transport efficiency by 20%" and sends that goal to a server. The server receives the goal and stores it in a database.

[0216] Input: Goal (e.g., improve transport efficiency by 20%)

[0217] Output: Save the goal to the database

[0218] Step 9:

[0219] The server automatically generates learning content and a learning roadmap based on the robot's goals, listing learning content such as analyzing the optimal transport route, methods for shortening transport time, and confirming safe operation.

[0220] Input: Goal

[0221] Output: Learning content list, learning roadmap

[0222] Step 10:

[0223] The robot learns based on the learning roadmap and inputs its progress. The progress data sent to the server is saved in a database.

[0224] Input: Progress

[0225] Output: Save progress data to database

[0226] Step 11:

[0227] The server provides feedback to the robot based on its progress, for example displaying a message saying "50% of the optimal route analysis is complete" and suggesting the next learning step.

[0228] Input: Progress data

[0229] Output: Feedback message, suggested next steps

[0230] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0231] The present invention combines a system that allows users to set their own future goals and efficiently study toward them with an emotion engine that recognizes the user's emotions. The following describes the details of the system's functions and processing.

[0232] User Registration and Login

[0233] The system first allows users to register their own account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[0234] goal setting

[0235] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[0236] Learning content and roadmap development

[0237] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[0238] Python Basics

[0239] Data analysis methods

[0240] Machine Learning Algorithms

[0241] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[0242] Progress management

[0243] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[0244] Introducing the Emotion Engine

[0245] A distinctive feature of this invention is the introduction of an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The emotion engine analyzes the user's input data and behavioral data to estimate the user's emotions. For example, it can estimate whether the user is feeling stressed based on the speed at which the user inputs their learning progress and the evaluation comments on the learning content.

[0246] Feedback adjustment

[0247] After the emotion engine estimates the user's emotions, the server adjusts the feedback based on that information. For example, if the user is feeling stressed, the server can display an encouraging message or temporarily lower the difficulty of the learning roadmap. If the user is in good spirits, the server can suggest the next more difficult task.

[0248] Specific examples

[0249] Username: Yamada Hanako

[0250] Goal: "Become a data scientist"

[0251] 1. Learning content example:

[0252] Python Basics

[0253] Data analysis methods

[0254] Machine Learning Algorithms

[0255] 2. User "Hanako Yamada" enters that she has completed 50% of "Python Basics."

[0256] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[0257] The emotion engine analyzes the speed of progress input and the user's comments, and infers that the user is feeling stressed.

[0258] The server displays feedback like "You're 50% done with Python Basics. You're on great pace, keep trying!" and adjusts the difficulty of the next challenge.

[0259] This allows the system to not only help the user study efficiently, but also provide emotional support and strengthen support for achieving goals. This is a specific embodiment of the present invention.

[0260] The processing flow will be explained below.

[0261] Step 1:

[0262] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The device then sends the entered data to the server.

[0263] Step 2:

[0264] The server receives the user information and stores it in the database. The server sends a registration completion email to the user and displays a message to the user saying "Registration completed."

[0265] Step 3:

[0266] The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server.

[0267] Step 4:

[0268] The server validates the input information, and if it matches, generates an authentication token and authenticates the user. The server then redirects the authenticated user to the dashboard.

[0269] Step 5:

[0270] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[0271] Step 6:

[0272] The server saves the goal information to the database. The server displays a message to the user saying "Goal saved."

[0273] Step 7:

[0274] The server retrieves relevant learning resources from a database or external API based on the user's goals. The server automatically generates learning content and a learning roadmap and stores them in the database.

[0275] Step 8:

[0276] The server displays the generated learning roadmap on the user's dashboard.

[0277] Step 9:

[0278] The user progresses through the learning content and enters their progress. When the "Update progress" button is pressed, the device sends the entered progress information to the server.

[0279] Step 10:

[0280] The server saves the progress information to the database. The server displays a message to the user that the update is complete.

[0281] Step 11:

[0282] The emotion engine analyzes the user's input data and behavioral data to estimate the user's emotions, such as their input speed and comments on their learning progress.

[0283] Step 12:

[0284] The server receives the inferences from the emotion engine and adjusts the feedback content based on the user's emotions, for example, displaying an encouraging message if the user is feeling stressed.

[0285] Step 13:

[0286] The server displays appropriate feedback to the user on a dashboard, such as a message like "Great pace, keep trying!"

[0287] Step 14:

[0288] The server adjusts the difficulty and pace of the learning roadmap based on the emotion engine's inferences. For example, if the user is feeling stressed, it lowers the difficulty of the next task.

[0289] Step 15:

[0290] The server displays the new learning roadmap on the user's dashboard, helping the user take the next step.

[0291] This allows the system to not only help users study efficiently, but also provide emotional support, strengthening support for achieving goals.

[0292] Example 2

[0293] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0294] Traditional learning management systems often provide uniform learning roadmaps and feedback without considering the user's emotional state. As a result, there is a risk that users will feel stressed or lose motivation to learn. In addition, there is insufficient support that takes into account not only individual learning progress but also feelings and motivation.

[0295] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to set and input his / her future goals, a means for automatically generating learning content and a learning roadmap based on the set goals, a means for inputting and recording the user's learning progress, a means for managing the recorded progress and providing feedback to the user, and a means for recognizing the user's emotions and adjusting the learning roadmap and feedback. This not only enables the user to study efficiently, but also provides emotional support and assistance toward goal achievement.

[0296] A "user" is an individual or group who uses the system to set their own learning goals and work toward achieving them.

[0297] A "goal" is a future intention or hope such as specific learning content or skill acquisition that a user wishes to achieve.

[0298] "Learning content" refers to specific learning items and tasks that are in line with the user's goals.

[0299] A "learning roadmap" is a systematic plan of the learning content a user needs to accomplish a goal.

[0300] "Progress" refers to the state and degree of progress of the user's learning based on the learning roadmap.

[0301] "Emotions" refer to the user's feelings and psychological state, such as stress, motivation, and satisfaction.

[0302] "Feedback" refers to responses provided by the system to the user, such as progress confirmation, advice, and encouraging messages.

[0303] The "emotion engine" is a function that analyzes user input data and behavioral data and infers emotions.

[0304] A "database" is a system for efficiently managing and storing huge amounts of data such as user information, learning content, and progress status.

[0305] An "external API" is an interface for obtaining information by connecting with external services or databases.

[0306] A "server" is a central processing unit that receives data from users, processes it, and stores it in a database.

[0307] This invention combines a system that allows users to set their own future goals and efficiently study toward them with an emotion engine that recognizes the user's emotions. Specific embodiments and processing of this system will be described in detail below.

[0308] User Registration and Login

[0309] First, users must register an account to use the system. The user enters their name, email address, and password into the registration form on the web page and presses the "Register" button. At this time, the terminal sends the input data to the server using the HTTPS protocol. The server receives the data and stores the user information in a database such as MySQL (registered trademark). After registration is complete, the server uses the SMTP protocol to send the user a registration completion email. Next, the user enters their email address and password into the login form and presses the "Login" button. The terminal sends the input data to the server, and the server verifies the received data against the database for authentication. If authentication is successful, the server redirects the user to the dashboard.

[0310] goal setting

[0311] Once a user logs in, they can set their own goals on the dashboard. The user enters their goal in the goal setting form and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in a database. Once the goal is saved, the server displays a message to the user saying "Goal saved."

[0312] Learning content and roadmap development

[0313] Once a goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server uses a database and external APIs to collect information related to the user's goal. For example, if a user sets "I want to become a data scientist," the server selects learning items such as the basics of Python, data analysis methods, and machine learning algorithms, and creates a learning roadmap. This learning roadmap is saved in the database and displayed on the user's dashboard.

[0314] Progress management

[0315] As a user progresses through their learning based on the learning roadmap, they can input their progress and send it to the server. For example, if they input that they are 50% done with "Python Basics," the device sends the input data to the server. The server stores the progress data in a database and displays feedback to the user saying, "You have completed 50% of Python Basics."

[0316] Introducing the Emotion Engine

[0317] A distinctive feature of this invention is the emotion engine, which recognizes the user's emotions and adjusts the learning roadmap and feedback accordingly. The server collects data such as the user's progress input speed and evaluation comments on the learning content. The emotion engine analyzes this data and estimates whether the user is feeling stressed. For example, if the progress input speed is slow or there are many negative comments, it is estimated that the user is feeling stressed.

[0318] Feedback adjustment

[0319] After the emotion engine estimates the user's emotions, the server adjusts the feedback based on that information. For example, if the user is feeling stressed, the server displays an encouraging message and temporarily lowers the difficulty of the learning roadmap. If the user is in good spirits, the server suggests the next more difficult task.

[0320] Specific examples

[0321] Username: Yamada Hanako

[0322] Goal: "Become a data scientist"

[0323] Examples of what you will learn:

[0324] Python Basics

[0325] Data analysis methods

[0326] Machine Learning Algorithms

[0327] Example: Hanako Yamada enters that she is 50% complete in "Python Basics"

[0328] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[0329] The emotion engine analyzes the speed of progress input and the user's comments to infer that the user is feeling stressed.

[0330] The server will display feedback such as "You're 50% done with Python Basics. You're on great pace, just keep trying!" and adjust the difficulty of the next challenge.

[0331] This allows the system to not only help users study efficiently, but also provide emotional support and strengthen assistance in achieving their goals.

[0332] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0333] Step 1:

[0334] User enters information into registration form

[0335] The user enters their name, email address, and password into the registration form and presses the "Register" button.

[0336] Input: Name, Email Address, Password

[0337] Output: The device sends the input data to the server

[0338] Specific actions

[0339] Enter the required information into the form on your web browser.

[0340] Click the submit button on the form.

[0341] Step 2:

[0342] The device sends data to the server

[0343] The terminal sends the input data to the server using the HTTPS protocol.

[0344] Input: Registration information entered by the user

[0345] Output: Data is sent to the server

[0346] Specific actions

[0347] The form submission request is sent to the server using the HTTPS protocol.

[0348] The server receives the request.

[0349] Step 3:

[0350] The server receives and stores the data

[0351] The server receives the data and stores the user information in a database (e.g., MySQL).

[0352] Input: User registration information

[0353] Output: User information is saved in the database

[0354] Specific actions

[0355] Parse the received data and check the format.

[0356] Executes a SQL query to insert the user information into the database.

[0357] Step 4:

[0358] The server sends a registration completion email

[0359] The server sends a registration completion email to the user's email address using the SMTP protocol.

[0360] Input: User's email address

[0361] Output: A registration completion email is sent to the user.

[0362] Specific actions

[0363] Establish a connection with the mail server.

[0364] Create the email body and send a request to the user's email address.

[0365] Step 5:

[0366] User enters information into login form

[0367] The user enters their email address and password into the login form and clicks the "Login" button.

[0368] Input: Email address, password

[0369] Output: The device sends the input data to the server

[0370] Specific actions

[0371] Enter your login information in your web browser.

[0372] Click the submit button on the form.

[0373] Step 6:

[0374] The device sends data to the server

[0375] The terminal transmits the input data to the server.

[0376] Input: User login information

[0377] Output: Data is sent to the server

[0378] Specific actions

[0379] The form submission request is sent to the server using the HTTPS protocol.

[0380] The server receives the request.

[0381] Step 7:

[0382] The server validates the login information

[0383] The server checks the received login information against the database and, if it matches, authenticates the user.

[0384] Input: User login information

[0385] Output: Authentication result (success / failure)

[0386] Specific actions

[0387] Parses the received data and matches it against a database using SQL queries.

[0388] An authentication result is generated and returned to the terminal.

[0389] Step 8:

[0390] The server redirects the user to the dashboard

[0391] If authentication is successful, the server redirects the user to the dashboard.

[0392] Input: Authentication result (success)

[0393] Output: Redirect to dashboard

[0394] Specific actions

[0395] Sends an HTTP redirect response.

[0396] The user's web browser loads the dashboard page.

[0397] Step 9:

[0398] User enters information into goal setting form

[0399] The user enters their goal in the goal setting form and presses the "Save" button.

[0400] Input: User goal

[0401] Output: The device sends the input data to the server

[0402] Specific actions

[0403] Enter your goals into a form in your web browser.

[0404] Click the Save button.

[0405] Step 10:

[0406] The device sends data to the server

[0407] The terminal transmits the input target data to the server.

[0408] Input: Target data

[0409] Output: Data is sent to the server

[0410] Specific actions

[0411] The form submission request is sent to the server using the HTTPS protocol.

[0412] The server receives the request.

[0413] Step 11:

[0414] The server stores the goals in a database

[0415] The server stores the user ID and goal in a database.

[0416] Input: User ID, goal data

[0417] Output: Saved to the database

[0418] Specific actions

[0419] Parse the received data and insert it into a database using SQL queries.

[0420] Step 12:

[0421] The server displays feedback to the user

[0422] Display a message on the dashboard indicating that the goal was saved.

[0423] Input: Save complete message

[0424] Output: A message is displayed on the dashboard

[0425] Specific actions

[0426] A success message is generated as an HTTP response and sent to the user's browser.

[0427] The browser displays the message.

[0428] (Application example 2)

[0429] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0430] A challenge facing modern learning systems is the lack of feedback and learning roadmap adjustments based on the user's emotions during the process of achieving the user's set goals. In particular, in production sites, where workers' emotions have a significant impact on work efficiency and quality, there is a need for workload distribution and feedback that reflects their emotions.

[0431] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to set and input their own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, and means for recognizing the user's emotions and providing feedback according to the emotions. This allows the learning content and workload to be adjusted according to the user's emotions, making it possible to progress learning and production activities efficiently and effectively.

[0432] A "user" is an individual or group that uses the system and studies or works to achieve their own goals.

[0433] A "goal" is a specific goal or objective that a user wants to achieve in the future.

[0434] "Learning content" refers to the knowledge and skills required to achieve the goals set by the user.

[0435] A "learning roadmap" is a plan that manages the progress of learning by arranging learning content in a chronological order to move toward a set goal.

[0436] "Means for automatic generation" refers to a mechanism by which the system automatically creates the necessary learning content and roadmap based on the goals set by the user.

[0437] "Progress" indicates the degree of progress of learning or work toward the goal set by the user.

[0438] "Feedback" refers to advice or evaluation provided by the system based on the user's progress, or information about the next steps to take.

[0439] "Means for recognizing emotions" refers to technology that estimates a user's psychological state (e.g., stress, joy, fatigue, etc.) from their behavioral data and input data.

[0440] An "online form" is an electronic form that allows registration or completion and is accessible via the Internet.

[0441] A "database" is a collection of digital data that stores related information in a structured manner, allowing for efficient searching and updating.

[0442] An "external API" is a standardized way for a system to access external data or functionality via an interface.

[0443] The present invention is a system that allows a user to set their own future goals and efficiently study toward those goals, and also combines it with an emotion engine that recognizes the user's emotions and provides appropriate feedback. A specific embodiment of this system is described below.

[0444] User Registration and Login

[0445] First, users register an account using the system's online form, which requires basic information such as name, email address, and password. After registration, users can log in with their email address and password.

[0446] goal setting

[0447] After logging in, users set their goals on the dashboard. Goals are entered in text format, and the data is sent from the device to the server and stored in a database.

[0448] Learning content and roadmap development

[0449] The server automatically generates learning content and a learning roadmap based on the goals set by the user. The necessary information is retrieved from the system's internal database or an external API. For example, for the goal "I want to become a data scientist," learning content such as Python basics, data analysis techniques, and machine learning algorithms is automatically listed.

[0450] Progress management

[0451] As users study, they can input their progress into the system at any time. The input progress data is sent to the server, and each user's progress is recorded in a database.

[0452] Introducing the Emotion Engine

[0453] A distinctive feature of this invention is the introduction of an emotion engine that recognizes the user's emotions. The engine analyzes the user's input data and behavioral data, and estimates the user's emotional state from, for example, the speed of progress input and comments on the learning content.

[0454] Feedback adjustment

[0455] The server adjusts the content of the feedback based on the user's emotional information estimated by the emotion engine. For example, if the emotion engine estimates that the user is feeling stressed, the server can adjust the difficulty of the learning roadmap or display an encouraging message.

[0456] Specific examples

[0457] As a specific example, smart glasses or wearable devices worn by workers at factory production sites could be used to recognize their emotions and adjust work efficiency and workload. For example, if a worker is feeling stressed, the robot's workload could be reduced and a message saying "Workload will be reduced" could be displayed on the wearable device.

[0458] An example of a prompt to input to a generative AI model is as follows:

[0459] "Designing a User Emotion Recognition Application:

[0460] Uses wearable devices and the Emotion Engine API to capture and analyze user emotions in real time.

[0461] Based on the analysis results, the robot's workload is adjusted using the Robot Controller API.

[0462] Display appropriate feedback messages depending on your emotional state.

[0463] This allows the system to provide feedback and roadmap adjustments according to the user's emotions, maximizing the efficiency and effectiveness of learning and work.

[0464] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0465] Step 1: User Registration and Login

[0466] Input: Name, email address, password (entered by user in online form)

[0467] Specific operation: The user enters their name, email address, and password into the online form and presses the "Register" button. The device then sends the entered data to the server.

[0468] Data processing and calculation: The server receives the input information and stores it in a database. It also automatically sends an email to notify you that your registration has been completed.

[0469] Output: Registration confirmation email (sent from the server to the user)

[0470] Step 2: Goal Setting

[0471] Input: Goal (entered into the dashboard after user logs in)

[0472] Specific operation: The user enters their goals in text format into the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[0473] Data processing and calculation: The server stores the target in a database along with the user ID.

[0474] Output: Goal save complete message (displayed to user from server)

[0475] Step 3: Create learning content and roadmap

[0476] Input: Goal (obtained by the server from the database)

[0477] Specific operation: The server retrieves information related to the goal from the system's internal database or an external API.

[0478] Data processing and calculation: The server automatically generates learning content and a learning roadmap, and stores them in a database along with the user ID.

[0479] Output: Learning roadmap (displayed by the server to the user's dashboard)

[0480] Step 4: Track progress

[0481] Input: Progress data (user enters progress information)

[0482] Specific operation: The user enters the learning progress into the dashboard and presses the "Save" button. The device sends the progress data to the server.

[0483] Data processing and calculation: The server stores the progress data along with the user ID in a database and generates feedback according to the progress.

[0484] Output: Feedback message (displayed by the server to the user's dashboard)

[0485] Step 5: Implementing the Emotion Engine

[0486] Input: Behavioral and input data (user input speed, rating comments, etc.)

[0487] Specific operation: The emotion engine analyzes user behavioral data and input data in real time.

[0488] Data processing and calculation: The emotion engine recognizes emotions and estimates psychological states such as stress and fatigue.

[0489] Output: Estimated emotional state (sent from the emotion engine to the server)

[0490] Step 6: Adjusting feedback

[0491] Input: Emotion state estimation result (data from emotion engine)

[0492] Specific behavior: The server adjusts the content of the feedback based on the results of the emotion engine, and in some cases changes the difficulty of the learning roadmap.

[0493] Data processing and calculation: The server determines the next feedback content and sends it to the user.

[0494] Output: Adjusted feedback message (displayed from server to user's dashboard)

[0495] By executing the above steps in succession, effective learning support according to the user's emotional state is realized.

[0496] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0497] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0498] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0499] [Second embodiment]

[0500] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0501] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0502] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0503] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0504] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0505] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0506] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0507] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0508] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0509] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0510] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0511] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0512] The present invention provides a system that allows users to set their own future goals and efficiently study toward those goals. The functions and processing of this system are described in detail below.

[0513] User Registration and Login

[0514] The system first allows users to register their own account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[0515] goal setting

[0516] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[0517] Learning content and roadmap development

[0518] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[0519] Python Basics

[0520] Data analysis methods

[0521] Machine Learning Algorithms

[0522] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[0523] Progress management

[0524] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[0525] Progress tracking and feedback

[0526] The server periodically manages the recorded progress and provides feedback to the user. In particular, if the user is behind schedule, it sends reminders and offers next study steps and advice. This allows the user to study efficiently and receive support to achieve their goals.

[0527] Specific examples

[0528] Username: Yamada Taro

[0529] Goal: "Become a data scientist"

[0530] 1. Learning content example:

[0531] Python Basics

[0532] Data analysis methods

[0533] Machine Learning Algorithms

[0534] 2. User "Taro Yamada" enters that he has completed 50% of "Python Basics."

[0535] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[0536] The server displays feedback on the dashboard saying "You're 50% done with Python Basics."

[0537] This allows the system to help users study efficiently, properly understand their progress, and receive appropriate feedback. This is a specific embodiment of the present invention.

[0538] The processing flow will be explained below.

[0539] Step 1:

[0540] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The device then sends the entered data to the server.

[0541] Step 2:

[0542] The server receives the user information and stores it in the database. The server sends a registration completion email to the user and displays a message to the user saying "Registration completed."

[0543] Step 3:

[0544] The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server.

[0545] Step 4:

[0546] The server validates the input information, and if it matches, generates an authentication token and authenticates the user. The server then redirects the authenticated user to the dashboard.

[0547] Step 5:

[0548] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[0549] Step 6:

[0550] The server saves the goal information to the database. The server displays a message to the user saying "Goal saved."

[0551] Step 7:

[0552] The server retrieves relevant learning resources from a database or external API based on the user's goals. The server automatically generates learning content and a learning roadmap and stores them in the database.

[0553] Step 8:

[0554] The server displays the generated learning roadmap on the user's dashboard.

[0555] Step 9:

[0556] The user progresses through the learning content and enters their progress. When the "Update progress" button is pressed, the device sends the entered progress information to the server.

[0557] Step 10:

[0558] The server saves the progress information to the database. The server displays a message to the user that the update is complete.

[0559] Step 11:

[0560] The server periodically retrieves the user's progress data from the database and evaluates the progress. If the user is behind schedule, the server sends a reminder.

[0561] Step 12:

[0562] The server generates next study steps and advice based on the progress data and displays them as feedback on the user's dashboard.

[0563] This allows users to study efficiently and receive support to achieve their goals.

[0564] Example 1

[0565] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0566] Conventional learning support systems lack specific support for users to set their own future goals and efficiently progress toward them. Furthermore, the automatic generation of learning content and roadmaps is limited, and progress management and appropriate feedback are insufficient. This makes it difficult for users to efficiently progress toward achieving their goals.

[0567] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0568] In this invention, the server includes means for a user to set and input their own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, means for obtaining information related to the goals set by the user using a generative AI model and recommending learning content, and means for displaying the next learning step and advice based on the user's progress, thereby enabling the user to efficiently progress in their studies, properly understand their progress, and receive appropriate feedback.

[0569] A "user" is an entity that uses the system to set their own goals and manage their learning progress.

[0570] "Goals" are specific details of objectives or tasks that a user wants to achieve in the future.

[0571] "Learning content" is a collection of knowledge and skills necessary to achieve a user's goals.

[0572] A "learning roadmap" is a planning chart that shows the order in which a user should proceed with their learning in order to achieve their goal.

[0573] An "online form" is an electronic input means that allows a user to enter information or register through an interface such as a browser.

[0574] A "database" is a collection of information for efficiently storing and managing user information, learning content, progress, etc.

[0575] An "external API" is an interface that allows a system to obtain data from external services or sources.

[0576] A "generative AI model" is a model that uses artificial intelligence to generate and provide optimal information related to a user's goals.

[0577] "Input data" refers to information or instructions that a user enters into a system.

[0578] "Validation" is a procedure to check whether the data entered by the user conforms to specified standards and formats.

[0579] "Feedback" refers to information such as progress and advice provided to the user by the system.

[0580] A "reminder" is a notification that reminds the user of important information or next actions.

[0581] The present invention provides a system that allows a user to set his or her own future goals and efficiently study toward those goals. The system based on the present invention is implemented using the following specific hardware and software.

[0582] First, a user registers their account through a web page or mobile application. To do this, the user enters information such as their name, email address, and password into an online form and presses the registration button. This input data is sent from the device (personal computer or smartphone) to the server as an HTTP POST request.

[0583] The server receives the request and performs validation. For example, it checks whether the entered email address is in the correct format and whether the password meets certain requirements. If validation is successful, the server saves the user data in a database (e.g., PostgreSQL) and sends a registration completion email to the user using an SMTP server (e.g., SendGrid).

[0584] Next, when a user logs in, they enter their email address and password into the login form. The device sends the entered data to the server, which then verifies it against the information in the database. If authentication is successful, the user is redirected to the dashboard page.

[0585] After logging in, the user enters their goal into the goal setting form on the dashboard and presses the save button. This goal data is sent to the server again and saved in the database. The server then displays a message to the user saying "Goal saved."

[0586] The server automatically generates learning content and a learning roadmap based on the set goals. The server retrieves relevant information from a database or external API (e.g., YouTube Data API) and recommends optimal learning content using a generative AI model (e.g., GPT-4). The generated learning roadmap is stored in a database and displayed on the user's dashboard.

[0587] As users progress through their studies, they enter their progress on the dashboard and send the data to the server, which stores the data in a database and provides users with feedback on their progress and next steps, allowing them to study efficiently.

[0588] As a concrete example, if a user named "Yamada Taro" sets the goal of "becoming a data scientist," the server will generate a learning roadmap by listing learning content such as Python basics, data analysis techniques, and machine learning algorithms. If Yamada Taro enters that he has completed 50% of "Python basics," the server will save the progress data in the database and display the feedback "50% of Python basics completed" on the dashboard.

[0589] This system allows users to properly understand their own learning progress and proceed with their studies according to plan.

[0590] Prompt Sentence Examples

[0591] "Please explain what happens when a user fills out a registration form and registers an account."

[0592] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0593] Step 1:

[0594] User Registration

[0595] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The input data (name, email address, password) is sent from the terminal to the server as an HTTP POST request. The server receives the request and validates the data (checking the format and password strength). If validation is successful, the server saves the input data in a database and uses the SMTP server to send a registration completion email to the user's email address. The user can confirm that registration is complete by receiving the registration completion email.

[0596] Step 2:

[0597] Log in

[0598] The user enters their email address and password into the login form and presses the "Login" button. The input data (email address, password) is sent from the terminal to the server. The server receives the request and authenticates it by checking the information in the database. If the email address and password match, authentication is successful. After successful authentication, the server redirects the user to the dashboard page. When the user logs in, the dashboard is displayed.

[0599] Step 3:

[0600] goal setting

[0601] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The input data (goal) is sent from the terminal to the server. The server receives the request and saves the goal data in a database. The server then displays a message to the user saying "Goal saved." The user can confirm that goal setting has been completed.

[0602] Step 4:

[0603] Learning content and roadmap development

[0604] The server automatically generates learning content and a learning roadmap based on the set goals. The server retrieves relevant information from databases and external APIs, and then uses a generative AI model to recommend the optimal learning content. For example, if the goal is to "become a data scientist," the server will list learning content such as the basics of Python, data analysis techniques, and machine learning algorithms. The generated learning roadmap is saved in a database, and the server displays it on the user's dashboard. Users can view the learning roadmap to confirm their learning plan.

[0605] Step 5:

[0606] Progress management

[0607] Each time a user progresses with their learning based on the learning roadmap, they enter their progress on the dashboard. For example, they may enter that they have completed 50% of "Python Basics." The input data (progress rate) is sent from the device to the server. The server receives the progress data and stores it in a database. The server then displays feedback such as "You have completed 50% of Python Basics" on the user's dashboard. The user can then check their own learning progress.

[0608] Step 6:

[0609] Progress tracking and feedback

[0610] The server periodically checks the recorded progress and provides appropriate feedback to the user. For example, if progress is falling behind, it will send a reminder to the user and display the next study step or advice. The server can also analyze the progress data and adjust the study plan based on the results. This allows users to study efficiently and receive support toward achieving their goals.

[0611] (Application example 1)

[0612] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0613] Conventional factories and industrial environments lack systems for autonomously managing and optimizing robots' work efficiency and skill improvement. This makes it difficult for robots to effectively manage their progress and learn toward set goals. Furthermore, a lack of timely feedback and improvement suggestions prevents robots from achieving their full potential. The present invention aims to solve these problems.

[0614] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0615] In this invention, the server includes means for a user to set and input his or her own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, means for setting goals for factory or industrial robots to autonomously improve their work skills and efficiency and automatically generating learning content to achieve those goals, and means for recording the robot's work progress and providing feedback based on that progress. This makes it possible to support the robot in autonomously achieving its goals to improve its work efficiency, and to achieve optimal work performance through progress management and appropriate feedback.

[0616] "User" refers to a person or machine, including a robot, that uses the system.

[0617] A "goal" is a specific result or objective that a user or robot aims to achieve.

[0618] "Input means" refers to a method or device by which a user or robot provides data or information to a system.

[0619] "Learning content" refers to the specific learning items and materials required to acquire the knowledge and skills necessary to achieve a goal.

[0620] A "learning roadmap" is a learning progress plan or procedure manual that is automatically generated by the system based on set goals.

[0621] "Means for automatic generation" refers to the functions and methods that allow the system to automatically create learning content and learning roadmaps based on goal setting.

[0622] "Progress" refers to information that indicates the state and degree of progress that a user or robot is making toward a set goal.

[0623] "Feedback" refers to evaluations, advice, suggestions for next steps, etc. provided to users or robots.

[0624] "Factory and industrial robots" refer to machines and devices used in manufacturing and industrial fields to automate work and improve efficiency.

[0625] "Autonomously" refers to a user or robot making decisions and acting independently without external intervention or instructions.

[0626] "Work efficiency" refers to the work results and productivity achieved within a certain period of time.

[0627] "Learning content to achieve" refers to the specific items of knowledge and skills and practice methods required to achieve the goal.

[0628] "Recording means" refers to a device or method for registering and storing the progress and learning history of a user or robot.

[0629] The present invention provides a system that allows users to set their own future goals and efficiently study toward them. It also includes a system that allows factories and industrial robots to autonomously set goals to improve their work skills and efficiency, automatically generate learning content to achieve those goals, manage progress, and provide feedback.

[0630] User Registration and Login

[0631] The server first allows the user to register their account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[0632] goal setting

[0633] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[0634] Learning content and roadmap development

[0635] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[0636] Python Basics

[0637] Data analysis methods

[0638] Machine Learning Algorithms

[0639] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[0640] Progress management

[0641] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[0642] Progress tracking and feedback

[0643] The server periodically manages the recorded progress and provides feedback to the user. In particular, if the user is behind schedule, it sends reminders and offers next learning steps and advice. This allows the user to study efficiently and receive support to achieve their goals.

[0644] Self-learning for factories and industrial robots

[0645] The present invention also provides a system for factory and industrial robots to autonomously improve their work skills and efficiency. The server provides a means for setting goals to be achieved by the robot, and includes a means for automatically generating learning content and a learning roadmap based on the goals. For example, if a factory robot sets the goal of "improving transportation efficiency by 20%, the following learning content will be listed:

[0646] Analysis of optimal transport routes

[0647] Methods for reducing transport time

[0648] Checking safe operation

[0649] These learning contents are stored in a database as a learning roadmap dedicated to the robot, and the server provides the generated learning roadmap to the robot's control system.

[0650] Robot progress management and feedback

[0651] As the robot learns, it can record its progress and send it to the server. For example, if the robot inputs that it is 50% done with "analyzing the optimal transport route," the server stores that information in a database and suggests the next learning step. The server periodically manages the recorded progress and provides feedback to the robot. This allows the robot to learn more efficiently and improve work efficiency.

[0652] Examples of concrete examples and prompts

[0653] For example, if a user sets a goal of "becoming a data scientist" and has completed 50% of the learning content of "Python Basics," the server will suggest "data analysis techniques" as the next step and provide feedback. Similarly, if a factory robot sets a goal of "improving transportation efficiency by 20%" and reports its progress, the server will provide similar feedback. Examples of prompts for the generative AI model are as follows:

[0654] Username: Yamada Taro

[0655] Goal: Improve the transport efficiency of factory robots by 20%

[0656] Example of input prompt sentence:

[0657] Please create a learning content and roadmap to achieve Taro Yamada's goal of "improving the transport efficiency of factory robots by 20%."

[0658] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0659] Step 1:

[0660] The user registers their account. They enter their name, email address, and password into the registration form on the web page and press the "Register" button. The device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email.

[0661] Input: Name, Email Address, Password

[0662] Output: Registration completion email, user information saved to database

[0663] Step 2:

[0664] A user logs in. The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[0665] Input: Email address, Password

[0666] Output: User authenticated, redirected to dashboard

[0667] Step 3:

[0668] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in a database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[0669] Input: Goal

[0670] Output: Confirmation message for saving the goal, saving the goal to the database

[0671] Step 4:

[0672] Once the goal is set, the server automatically generates learning content and a learning roadmap based on the goal. The server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list related courses (i.e., Python basics, data analysis methods, and machine learning algorithms).

[0673] Input: Goal

[0674] Output: Learning content list, learning roadmap

[0675] Step 5:

[0676] The server displays the generated learning roadmap on the user's dashboard.

[0677] Input: Learning Roadmap

[0678] Output: Display on dashboard

[0679] Step 6:

[0680] The user progresses through their studies based on the learning roadmap. They enter their progress and send it to the server. For example, the user enters that they have completed 50% of "Python Basics." The device sends the entered progress data to the server. The server stores information such as the user ID, learning items, and progress rate in a database.

[0681] Input: Progress (e.g. Python Basics 50% complete)

[0682] Output: Save progress data to database

[0683] Step 7:

[0684] The server provides feedback to the user based on their progress, such as displaying a message on the dashboard saying, "You've completed 50% of Python basics." It also suggests "data analysis techniques" as the next learning step.

[0685] Input: Progress data

[0686] Output: Feedback message, suggested next steps

[0687] Step 8:

[0688] Factory and industrial robots autonomously set goals. For example, a robot sets a goal of "improving transport efficiency by 20%" and sends that goal to a server. The server receives the goal and stores it in a database.

[0689] Input: Goal (e.g., improve transport efficiency by 20%)

[0690] Output: Save the goal to the database

[0691] Step 9:

[0692] The server automatically generates learning content and a learning roadmap based on the robot's goals, listing learning content such as analyzing the optimal transport route, methods for shortening transport time, and confirming safe operation.

[0693] Input: Goal

[0694] Output: Learning content list, learning roadmap

[0695] Step 10:

[0696] The robot learns based on the learning roadmap and inputs its progress. The progress data sent to the server is saved in a database.

[0697] Input: Progress

[0698] Output: Save progress data to database

[0699] Step 11:

[0700] The server provides feedback to the robot based on its progress, for example displaying a message saying "50% of the optimal route analysis is complete" and suggesting the next learning step.

[0701] Input: Progress data

[0702] Output: Feedback message, suggested next steps

[0703] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0704] The present invention combines a system that allows users to set their own future goals and efficiently study toward them with an emotion engine that recognizes the user's emotions. The following describes the details of the system's functions and processing.

[0705] User Registration and Login

[0706] The system first allows users to register their own account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[0707] goal setting

[0708] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[0709] Learning content and roadmap development

[0710] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[0711] Python Basics

[0712] Data analysis methods

[0713] Machine Learning Algorithms

[0714] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[0715] Progress management

[0716] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[0717] Introducing the Emotion Engine

[0718] A distinctive feature of this invention is the introduction of an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The emotion engine analyzes the user's input data and behavioral data to estimate the user's emotions. For example, it can estimate whether the user is feeling stressed based on the speed at which the user inputs their learning progress and the evaluation comments on the learning content.

[0719] Feedback adjustment

[0720] After the emotion engine estimates the user's emotions, the server adjusts the feedback based on that information. For example, if the user is feeling stressed, the server can display an encouraging message or temporarily lower the difficulty of the learning roadmap. If the user is in good spirits, the server can suggest the next more difficult task.

[0721] Specific examples

[0722] Username: Yamada Hanako

[0723] Goal: "Become a data scientist"

[0724] 1. Learning content example:

[0725] Python Basics

[0726] Data analysis methods

[0727] Machine Learning Algorithms

[0728] 2. User "Hanako Yamada" enters that she has completed 50% of "Python Basics."

[0729] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[0730] The emotion engine analyzes the speed of progress input and the user's comments, and infers that the user is feeling stressed.

[0731] The server displays feedback like "You're 50% done with Python Basics. You're on great pace, keep trying!" and adjusts the difficulty of the next challenge.

[0732] This allows the system to not only help the user study efficiently, but also provide emotional support and strengthen support for achieving goals. This is a specific embodiment of the present invention.

[0733] The processing flow will be explained below.

[0734] Step 1:

[0735] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The device then sends the entered data to the server.

[0736] Step 2:

[0737] The server receives the user information and stores it in the database. The server sends a registration completion email to the user and displays a message to the user saying "Registration completed."

[0738] Step 3:

[0739] The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server.

[0740] Step 4:

[0741] The server validates the input information, and if it matches, generates an authentication token and authenticates the user. The server then redirects the authenticated user to the dashboard.

[0742] Step 5:

[0743] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[0744] Step 6:

[0745] The server saves the goal information to the database. The server displays a message to the user saying "Goal saved."

[0746] Step 7:

[0747] The server retrieves relevant learning resources from a database or external API based on the user's goals. The server automatically generates learning content and a learning roadmap and stores them in the database.

[0748] Step 8:

[0749] The server displays the generated learning roadmap on the user's dashboard.

[0750] Step 9:

[0751] The user progresses through the learning content and enters their progress. When the "Update progress" button is pressed, the device sends the entered progress information to the server.

[0752] Step 10:

[0753] The server saves the progress information to the database. The server displays a message to the user that the update is complete.

[0754] Step 11:

[0755] The emotion engine analyzes the user's input data and behavioral data to estimate the user's emotions, such as their input speed and comments on their learning progress.

[0756] Step 12:

[0757] The server receives the inferences from the emotion engine and adjusts the feedback content based on the user's emotions, for example, displaying an encouraging message if the user is feeling stressed.

[0758] Step 13:

[0759] The server displays appropriate feedback to the user on a dashboard, such as a message like "Great pace, keep trying!"

[0760] Step 14:

[0761] The server adjusts the difficulty and pace of the learning roadmap based on the emotion engine's inferences. For example, if the user is feeling stressed, it lowers the difficulty of the next task.

[0762] Step 15:

[0763] The server displays the new learning roadmap on the user's dashboard, helping the user take the next step.

[0764] This allows the system to not only help users study efficiently, but also provide emotional support, strengthening support for achieving goals.

[0765] Example 2

[0766] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0767] Traditional learning management systems often provide uniform learning roadmaps and feedback without considering the user's emotional state. As a result, there is a risk that users will feel stressed or lose motivation to learn. In addition, there is insufficient support that takes into account not only individual learning progress but also feelings and motivation.

[0768] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to set and input his / her future goals, a means for automatically generating learning content and a learning roadmap based on the set goals, a means for inputting and recording the user's learning progress, a means for managing the recorded progress and providing feedback to the user, and a means for recognizing the user's emotions and adjusting the learning roadmap and feedback. This not only enables the user to study efficiently, but also provides emotional support and assistance toward goal achievement.

[0769] A "user" is an individual or group who uses the system to set their own learning goals and work toward achieving them.

[0770] A "goal" is a future intention or hope such as specific learning content or skill acquisition that a user wishes to achieve.

[0771] "Learning content" refers to specific learning items and tasks that are in line with the user's goals.

[0772] A "learning roadmap" is a systematic plan of the learning content a user needs to accomplish a goal.

[0773] "Progress" refers to the state and degree of progress of the user's learning based on the learning roadmap.

[0774] "Emotions" refer to the user's feelings and psychological state, such as stress, motivation, and satisfaction.

[0775] "Feedback" refers to responses provided by the system to the user, such as progress confirmation, advice, and encouraging messages.

[0776] The "emotion engine" is a function that analyzes user input data and behavioral data and infers emotions.

[0777] A "database" is a system for efficiently managing and storing huge amounts of data such as user information, learning content, and progress status.

[0778] An "external API" is an interface for obtaining information by connecting with external services or databases.

[0779] A "server" is a central processing unit that receives data from users, processes it, and stores it in a database.

[0780] This invention combines a system that allows users to set their own future goals and efficiently study toward them with an emotion engine that recognizes the user's emotions. Specific embodiments and processing of this system will be described in detail below.

[0781] User Registration and Login

[0782] First, users must register an account to use the system. The user enters their name, email address, and password into the registration form on the web page and presses the "Register" button. At this time, the terminal sends the input data to the server using the HTTPS protocol. The server receives the data and stores the user information in a database such as MySQL. After registration is complete, the server uses the SMTP protocol to send the user a registration completion email. Next, the user enters their email address and password into the login form and presses the "Login" button. The terminal sends the input data to the server, and the server compares the received data with the database for authentication. If authentication is successful, the server redirects the user to the dashboard.

[0783] goal setting

[0784] Once a user logs in, they can set their own goals on the dashboard. The user enters their goal in the goal setting form and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in a database. Once the goal is saved, the server displays a message to the user saying "Goal saved."

[0785] Learning content and roadmap development

[0786] Once a goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server uses a database and external APIs to collect information related to the user's goal. For example, if a user sets "I want to become a data scientist," the server selects learning items such as the basics of Python, data analysis methods, and machine learning algorithms, and creates a learning roadmap. This learning roadmap is saved in the database and displayed on the user's dashboard.

[0787] Progress management

[0788] As a user progresses through their learning based on the learning roadmap, they can input their progress and send it to the server. For example, if they input that they are 50% done with "Python Basics," the device sends the input data to the server. The server stores the progress data in a database and displays feedback to the user saying, "You have completed 50% of Python Basics."

[0789] Introducing the Emotion Engine

[0790] A distinctive feature of this invention is the emotion engine, which recognizes the user's emotions and adjusts the learning roadmap and feedback accordingly. The server collects data such as the user's progress input speed and evaluation comments on the learning content. The emotion engine analyzes this data and estimates whether the user is feeling stressed. For example, if the progress input speed is slow or there are many negative comments, it is estimated that the user is feeling stressed.

[0791] Feedback adjustment

[0792] After the emotion engine estimates the user's emotions, the server adjusts the feedback based on that information. For example, if the user is feeling stressed, the server displays an encouraging message and temporarily lowers the difficulty of the learning roadmap. If the user is in good spirits, the server suggests the next more difficult task.

[0793] Specific examples

[0794] Username: Yamada Hanako

[0795] Goal: "Become a data scientist"

[0796] Examples of what you will learn:

[0797] Python Basics

[0798] Data analysis methods

[0799] Machine Learning Algorithms

[0800] Example: Hanako Yamada enters that she is 50% complete in "Python Basics"

[0801] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[0802] The emotion engine analyzes the speed of progress input and the user's comments to infer that the user is feeling stressed.

[0803] The server will display feedback such as "You're 50% done with Python Basics. You're on great pace, just keep trying!" and adjust the difficulty of the next challenge.

[0804] This allows the system to not only help users study efficiently, but also provide emotional support and strengthen assistance in achieving their goals.

[0805] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0806] Step 1:

[0807] User enters information into registration form

[0808] The user enters their name, email address, and password into the registration form and presses the "Register" button.

[0809] Input: Name, Email Address, Password

[0810] Output: The device sends the input data to the server

[0811] Specific actions

[0812] Enter the required information into the form on your web browser.

[0813] Click the submit button on the form.

[0814] Step 2:

[0815] The device sends data to the server

[0816] The terminal sends the input data to the server using the HTTPS protocol.

[0817] Input: Registration information entered by the user

[0818] Output: Data is sent to the server

[0819] Specific actions

[0820] The form submission request is sent to the server using the HTTPS protocol.

[0821] The server receives the request.

[0822] Step 3:

[0823] The server receives and stores the data

[0824] The server receives the data and stores the user information in a database (e.g., MySQL).

[0825] Input: User registration information

[0826] Output: User information is saved in the database

[0827] Specific actions

[0828] Parse the received data and check the format.

[0829] Executes a SQL query to insert the user information into the database.

[0830] Step 4:

[0831] The server sends a registration completion email

[0832] The server sends a registration completion email to the user's email address using the SMTP protocol.

[0833] Input: User's email address

[0834] Output: A registration completion email is sent to the user.

[0835] Specific actions

[0836] Establish a connection with the mail server.

[0837] Create the email body and send a request to the user's email address.

[0838] Step 5:

[0839] User enters information into login form

[0840] The user enters their email address and password into the login form and clicks the "Login" button.

[0841] Input: Email address, password

[0842] Output: The device sends the input data to the server

[0843] Specific actions

[0844] Enter your login information in your web browser.

[0845] Click the submit button on the form.

[0846] Step 6:

[0847] The device sends data to the server

[0848] The terminal transmits the input data to the server.

[0849] Input: User login information

[0850] Output: Data is sent to the server

[0851] Specific actions

[0852] The form submission request is sent to the server using the HTTPS protocol.

[0853] The server receives the request.

[0854] Step 7:

[0855] The server validates the login information

[0856] The server checks the received login information against the database and, if it matches, authenticates the user.

[0857] Input: User login information

[0858] Output: Authentication result (success / failure)

[0859] Specific actions

[0860] Parses the received data and matches it against a database using SQL queries.

[0861] An authentication result is generated and returned to the terminal.

[0862] Step 8:

[0863] The server redirects the user to the dashboard

[0864] If authentication is successful, the server redirects the user to the dashboard.

[0865] Input: Authentication result (success)

[0866] Output: Redirect to dashboard

[0867] Specific actions

[0868] Sends an HTTP redirect response.

[0869] The user's web browser loads the dashboard page.

[0870] Step 9:

[0871] User enters information into goal setting form

[0872] The user enters their goal in the goal setting form and presses the "Save" button.

[0873] Input: User goal

[0874] Output: The device sends the input data to the server

[0875] Specific actions

[0876] Enter your goals into a form in your web browser.

[0877] Click the Save button.

[0878] Step 10:

[0879] The device sends data to the server

[0880] The terminal transmits the input target data to the server.

[0881] Input: Target data

[0882] Output: Data is sent to the server

[0883] Specific actions

[0884] The form submission request is sent to the server using the HTTPS protocol.

[0885] The server receives the request.

[0886] Step 11:

[0887] The server stores the goals in a database

[0888] The server stores the user ID and goal in a database.

[0889] Input: User ID, goal data

[0890] Output: Saved to the database

[0891] Specific actions

[0892] Parse the received data and insert it into a database using SQL queries.

[0893] Step 12:

[0894] The server displays feedback to the user

[0895] Display a message on the dashboard indicating that the goal was saved.

[0896] Input: Save complete message

[0897] Output: A message is displayed on the dashboard

[0898] Specific actions

[0899] A success message is generated as an HTTP response and sent to the user's browser.

[0900] The browser displays the message.

[0901] (Application example 2)

[0902] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0903] A challenge facing modern learning systems is the lack of feedback and learning roadmap adjustments based on the user's emotions during the process of achieving the user's set goals. In particular, in production sites, where workers' emotions have a significant impact on work efficiency and quality, there is a need for workload distribution and feedback that reflects their emotions.

[0904] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to set and input their own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, and means for recognizing the user's emotions and providing feedback according to the emotions. This allows the learning content and workload to be adjusted according to the user's emotions, making it possible to progress learning and production activities efficiently and effectively.

[0905] A "user" is an individual or group that uses the system and studies or works to achieve their own goals.

[0906] A "goal" is a specific goal or objective that a user wants to achieve in the future.

[0907] "Learning content" refers to the knowledge and skills required to achieve the goals set by the user.

[0908] A "learning roadmap" is a plan that manages the progress of learning by arranging learning content in a chronological order to move toward a set goal.

[0909] "Means for automatic generation" refers to a mechanism by which the system automatically creates the necessary learning content and roadmap based on the goals set by the user.

[0910] "Progress" indicates the degree of progress of learning or work toward the goal set by the user.

[0911] "Feedback" refers to advice or evaluation provided by the system based on the user's progress, or information about the next steps to take.

[0912] "Means for recognizing emotions" refers to technology that estimates a user's psychological state (e.g., stress, joy, fatigue, etc.) from their behavioral data and input data.

[0913] An "online form" is an electronic form that allows registration or completion and is accessible via the Internet.

[0914] A "database" is a collection of digital data that stores related information in a structured manner, allowing for efficient searching and updating.

[0915] An "external API" is a standardized way for a system to access external data or functionality via an interface.

[0916] The present invention is a system that allows a user to set their own future goals and efficiently study toward those goals, and also combines it with an emotion engine that recognizes the user's emotions and provides appropriate feedback. A specific embodiment of this system is described below.

[0917] User Registration and Login

[0918] First, users register an account using the system's online form, which requires basic information such as name, email address, and password. After registration, users can log in with their email address and password.

[0919] goal setting

[0920] After logging in, users set their goals on the dashboard. Goals are entered in text format, and the data is sent from the device to the server and stored in a database.

[0921] Learning content and roadmap development

[0922] The server automatically generates learning content and a learning roadmap based on the goals set by the user. The necessary information is retrieved from the system's internal database or an external API. For example, for the goal "I want to become a data scientist," learning content such as Python basics, data analysis techniques, and machine learning algorithms is automatically listed.

[0923] Progress management

[0924] As users study, they can input their progress into the system at any time. The input progress data is sent to the server, and each user's progress is recorded in a database.

[0925] Introducing the Emotion Engine

[0926] A distinctive feature of this invention is the introduction of an emotion engine that recognizes the user's emotions. The engine analyzes the user's input data and behavioral data, and estimates the user's emotional state from, for example, the speed of progress input and comments on the learning content.

[0927] Feedback adjustment

[0928] The server adjusts the content of the feedback based on the user's emotional information estimated by the emotion engine. For example, if the emotion engine estimates that the user is feeling stressed, the server can adjust the difficulty of the learning roadmap or display an encouraging message.

[0929] Specific examples

[0930] As a specific example, smart glasses or wearable devices worn by workers at factory production sites could be used to recognize their emotions and adjust work efficiency and workload. For example, if a worker is feeling stressed, the robot's workload could be reduced and a message saying "Workload will be reduced" could be displayed on the wearable device.

[0931] An example of a prompt to input to a generative AI model is as follows:

[0932] "Designing a User Emotion Recognition Application:

[0933] Uses wearable devices and the Emotion Engine API to capture and analyze user emotions in real time.

[0934] Based on the analysis results, the robot's workload is adjusted using the Robot Controller API.

[0935] Display appropriate feedback messages depending on your emotional state.

[0936] This allows the system to provide feedback and roadmap adjustments according to the user's emotions, maximizing the efficiency and effectiveness of learning and work.

[0937] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0938] Step 1: User Registration and Login

[0939] Input: Name, email address, password (entered by user in online form)

[0940] Specific operation: The user enters their name, email address, and password into the online form and presses the "Register" button. The device then sends the entered data to the server.

[0941] Data processing and calculation: The server receives the input information and stores it in a database. It also automatically sends an email to notify you that your registration has been completed.

[0942] Output: Registration confirmation email (sent from the server to the user)

[0943] Step 2: Goal Setting

[0944] Input: Goal (entered into the dashboard after user logs in)

[0945] Specific operation: The user enters their goals in text format into the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[0946] Data processing and calculation: The server stores the target in a database along with the user ID.

[0947] Output: Goal save complete message (displayed to user from server)

[0948] Step 3: Create learning content and roadmap

[0949] Input: Goal (obtained by the server from the database)

[0950] Specific operation: The server retrieves information related to the goal from the system's internal database or an external API.

[0951] Data processing and calculation: The server automatically generates learning content and a learning roadmap, and stores them in a database along with the user ID.

[0952] Output: Learning roadmap (displayed by the server to the user's dashboard)

[0953] Step 4: Track progress

[0954] Input: Progress data (user enters progress information)

[0955] Specific operation: The user enters the learning progress into the dashboard and presses the "Save" button. The device sends the progress data to the server.

[0956] Data processing and calculation: The server stores the progress data along with the user ID in a database and generates feedback according to the progress.

[0957] Output: Feedback message (displayed by the server to the user's dashboard)

[0958] Step 5: Implementing the Emotion Engine

[0959] Input: Behavioral and input data (user input speed, rating comments, etc.)

[0960] Specific operation: The emotion engine analyzes user behavioral data and input data in real time.

[0961] Data processing and calculation: The emotion engine recognizes emotions and estimates psychological states such as stress and fatigue.

[0962] Output: Estimated emotional state (sent from the emotion engine to the server)

[0963] Step 6: Adjusting feedback

[0964] Input: Emotion state estimation result (data from emotion engine)

[0965] Specific behavior: The server adjusts the content of the feedback based on the results of the emotion engine, and in some cases changes the difficulty of the learning roadmap.

[0966] Data processing and calculation: The server determines the next feedback content and sends it to the user.

[0967] Output: Adjusted feedback message (displayed from server to user's dashboard)

[0968] By executing the above steps in succession, effective learning support according to the user's emotional state is realized.

[0969] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0970] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0971] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0972] [Third embodiment]

[0973] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0974] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0975] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0976] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0977] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0978] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0979] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0980] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0981] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0982] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0983] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0984] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0985] The present invention provides a system that allows users to set their own future goals and efficiently study toward those goals. The functions and processing of this system are described in detail below.

[0986] User Registration and Login

[0987] The system first allows users to register their own account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[0988] goal setting

[0989] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[0990] Learning content and roadmap development

[0991] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[0992] Python Basics

[0993] Data analysis methods

[0994] Machine Learning Algorithms

[0995] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[0996] Progress management

[0997] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[0998] Progress tracking and feedback

[0999] The server periodically manages the recorded progress and provides feedback to the user. In particular, if the user is behind schedule, it sends reminders and offers next study steps and advice. This allows the user to study efficiently and receive support to achieve their goals.

[1000] Specific examples

[1001] Username: Yamada Taro

[1002] Goal: "Become a data scientist"

[1003] 1. Learning content example:

[1004] Python Basics

[1005] Data analysis methods

[1006] Machine Learning Algorithms

[1007] 2. User "Taro Yamada" enters that he has completed 50% of "Python Basics."

[1008] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[1009] The server displays feedback on the dashboard saying "You're 50% done with Python Basics."

[1010] This allows the system to help users study efficiently, properly understand their progress, and receive appropriate feedback. This is a specific embodiment of the present invention.

[1011] The processing flow will be explained below.

[1012] Step 1:

[1013] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The device then sends the entered data to the server.

[1014] Step 2:

[1015] The server receives the user information and stores it in the database. The server sends a registration completion email to the user and displays a message to the user saying "Registration completed."

[1016] Step 3:

[1017] The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server.

[1018] Step 4:

[1019] The server validates the input information, and if it matches, generates an authentication token and authenticates the user. The server then redirects the authenticated user to the dashboard.

[1020] Step 5:

[1021] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[1022] Step 6:

[1023] The server saves the goal information to the database. The server displays a message to the user saying "Goal saved."

[1024] Step 7:

[1025] The server retrieves relevant learning resources from a database or external API based on the user's goals. The server automatically generates learning content and a learning roadmap and stores them in the database.

[1026] Step 8:

[1027] The server displays the generated learning roadmap on the user's dashboard.

[1028] Step 9:

[1029] The user progresses through the learning content and enters their progress. When the "Update progress" button is pressed, the device sends the entered progress information to the server.

[1030] Step 10:

[1031] The server saves the progress information to the database. The server displays a message to the user that the update is complete.

[1032] Step 11:

[1033] The server periodically retrieves the user's progress data from the database and evaluates the progress. If the user is behind schedule, the server sends a reminder.

[1034] Step 12:

[1035] The server generates next study steps and advice based on the progress data and displays them as feedback on the user's dashboard.

[1036] This allows users to study efficiently and receive support to achieve their goals.

[1037] Example 1

[1038] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1039] Conventional learning support systems lack specific support for users to set their own future goals and efficiently progress toward them. Furthermore, the automatic generation of learning content and roadmaps is limited, and progress management and appropriate feedback are insufficient. This makes it difficult for users to efficiently progress toward achieving their goals.

[1040] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1041] In this invention, the server includes means for a user to set and input their own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, means for obtaining information related to the goals set by the user using a generative AI model and recommending learning content, and means for displaying the next learning step and advice based on the user's progress, thereby enabling the user to efficiently progress in their studies, properly understand their progress, and receive appropriate feedback.

[1042] A "user" is an entity that uses the system to set their own goals and manage their learning progress.

[1043] "Goals" are specific details of objectives or tasks that a user wants to achieve in the future.

[1044] "Learning content" is a collection of knowledge and skills necessary to achieve a user's goals.

[1045] A "learning roadmap" is a planning chart that shows the order in which a user should proceed with their learning in order to achieve their goal.

[1046] An "online form" is an electronic input means that allows a user to enter information or register through an interface such as a browser.

[1047] A "database" is a collection of information for efficiently storing and managing user information, learning content, progress, etc.

[1048] An "external API" is an interface that allows a system to obtain data from external services or sources.

[1049] A "generative AI model" is a model that uses artificial intelligence to generate and provide optimal information related to a user's goals.

[1050] "Input data" refers to information or instructions that a user enters into a system.

[1051] "Validation" is a procedure to check whether the data entered by the user conforms to specified standards and formats.

[1052] "Feedback" refers to information such as progress and advice provided to the user by the system.

[1053] A "reminder" is a notification that reminds the user of important information or next actions.

[1054] The present invention provides a system that allows a user to set his or her own future goals and efficiently study toward those goals. The system based on the present invention is implemented using the following specific hardware and software.

[1055] First, a user registers their account through a web page or mobile application. To do this, the user enters information such as their name, email address, and password into an online form and presses the registration button. This input data is sent from the device (personal computer or smartphone) to the server as an HTTP POST request.

[1056] The server receives the request and performs validation. For example, it checks whether the entered email address is in the correct format and whether the password meets certain requirements. If validation is successful, the server saves the user data in a database (e.g., PostgreSQL) and sends a registration completion email to the user using an SMTP server (e.g., SendGrid).

[1057] Next, when a user logs in, they enter their email address and password into the login form. The device sends the entered data to the server, which then verifies it against the information in the database. If authentication is successful, the user is redirected to the dashboard page.

[1058] After logging in, the user enters their goal into the goal setting form on the dashboard and presses the save button. This goal data is sent to the server again and saved in the database. The server then displays a message to the user saying "Goal saved."

[1059] The server automatically generates learning content and a learning roadmap based on the set goals. The server retrieves relevant information from a database or external API (e.g., YouTube Data API) and recommends optimal learning content using a generative AI model (e.g., GPT-4). The generated learning roadmap is stored in a database and displayed on the user's dashboard.

[1060] As users progress through their studies, they enter their progress on the dashboard and send the data to the server, which stores the data in a database and provides users with feedback on their progress and next steps, allowing them to study efficiently.

[1061] As a concrete example, if a user named "Yamada Taro" sets the goal of "becoming a data scientist," the server will generate a learning roadmap by listing learning content such as Python basics, data analysis techniques, and machine learning algorithms. If Yamada Taro enters that he has completed 50% of "Python basics," the server will save the progress data in the database and display the feedback "50% of Python basics completed" on the dashboard.

[1062] This system allows users to properly understand their own learning progress and proceed with their studies according to plan.

[1063] Prompt Sentence Examples

[1064] "Please explain what happens when a user fills out a registration form and registers an account."

[1065] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1066] Step 1:

[1067] User Registration

[1068] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The input data (name, email address, password) is sent from the terminal to the server as an HTTP POST request. The server receives the request and validates the data (checking the format and password strength). If validation is successful, the server saves the input data in a database and uses the SMTP server to send a registration completion email to the user's email address. The user can confirm that registration is complete by receiving the registration completion email.

[1069] Step 2:

[1070] Log in

[1071] The user enters their email address and password into the login form and presses the "Login" button. The input data (email address, password) is sent from the terminal to the server. The server receives the request and authenticates it by checking the information in the database. If the email address and password match, authentication is successful. After successful authentication, the server redirects the user to the dashboard page. When the user logs in, the dashboard is displayed.

[1072] Step 3:

[1073] goal setting

[1074] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The input data (goal) is sent from the terminal to the server. The server receives the request and saves the goal data in a database. The server then displays a message to the user saying "Goal saved." The user can confirm that goal setting has been completed.

[1075] Step 4:

[1076] Learning content and roadmap development

[1077] The server automatically generates learning content and a learning roadmap based on the set goals. The server retrieves relevant information from databases and external APIs, and then uses a generative AI model to recommend the optimal learning content. For example, if the goal is to "become a data scientist," the server will list learning content such as the basics of Python, data analysis techniques, and machine learning algorithms. The generated learning roadmap is saved in a database, and the server displays it on the user's dashboard. Users can view the learning roadmap to confirm their learning plan.

[1078] Step 5:

[1079] Progress management

[1080] Each time a user progresses with their learning based on the learning roadmap, they enter their progress on the dashboard. For example, they may enter that they have completed 50% of "Python Basics." The input data (progress rate) is sent from the device to the server. The server receives the progress data and stores it in a database. The server then displays feedback such as "You have completed 50% of Python Basics" on the user's dashboard. The user can then check their own learning progress.

[1081] Step 6:

[1082] Progress tracking and feedback

[1083] The server periodically checks the recorded progress and provides appropriate feedback to the user. For example, if progress is falling behind, it will send a reminder to the user and display the next study step or advice. The server can also analyze the progress data and adjust the study plan based on the results. This allows users to study efficiently and receive support toward achieving their goals.

[1084] (Application example 1)

[1085] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1086] Conventional factories and industrial environments lack systems for autonomously managing and optimizing robots' work efficiency and skill improvement. This makes it difficult for robots to effectively manage their progress and learn toward set goals. Furthermore, a lack of timely feedback and improvement suggestions prevents robots from achieving their full potential. The present invention aims to solve these problems.

[1087] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1088] In this invention, the server includes means for a user to set and input his or her own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, means for setting goals for factory or industrial robots to autonomously improve their work skills and efficiency and automatically generating learning content to achieve those goals, and means for recording the robot's work progress and providing feedback based on that progress. This makes it possible to support the robot in autonomously achieving its goals to improve its work efficiency, and to achieve optimal work performance through progress management and appropriate feedback.

[1089] "User" refers to a person or machine, including a robot, that uses the system.

[1090] A "goal" is a specific result or objective that a user or robot aims to achieve.

[1091] "Input means" refers to a method or device by which a user or robot provides data or information to a system.

[1092] "Learning content" refers to the specific learning items and materials required to acquire the knowledge and skills necessary to achieve a goal.

[1093] A "learning roadmap" is a learning progress plan or procedure manual that is automatically generated by the system based on set goals.

[1094] "Means for automatic generation" refers to the functions and methods that allow the system to automatically create learning content and learning roadmaps based on goal setting.

[1095] "Progress" refers to information that indicates the state and degree of progress that a user or robot is making toward a set goal.

[1096] "Feedback" refers to evaluations, advice, suggestions for next steps, etc. provided to users or robots.

[1097] "Factory and industrial robots" refer to machines and devices used in manufacturing and industrial fields to automate work and improve efficiency.

[1098] "Autonomously" refers to a user or robot making decisions and acting independently without external intervention or instructions.

[1099] "Work efficiency" refers to the work results and productivity achieved within a certain period of time.

[1100] "Learning content to achieve" refers to the specific items of knowledge and skills and practice methods required to achieve the goal.

[1101] "Recording means" refers to a device or method for registering and storing the progress and learning history of a user or robot.

[1102] The present invention provides a system that allows users to set their own future goals and efficiently study toward them. It also includes a system that allows factories and industrial robots to autonomously set goals to improve their work skills and efficiency, automatically generate learning content to achieve those goals, manage progress, and provide feedback.

[1103] User Registration and Login

[1104] The server first allows the user to register their account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[1105] goal setting

[1106] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[1107] Learning content and roadmap development

[1108] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[1109] Python Basics

[1110] Data analysis methods

[1111] Machine Learning Algorithms

[1112] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[1113] Progress management

[1114] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[1115] Progress tracking and feedback

[1116] The server periodically manages the recorded progress and provides feedback to the user. In particular, if the user is behind schedule, it sends reminders and offers next learning steps and advice. This allows the user to study efficiently and receive support to achieve their goals.

[1117] Self-learning for factories and industrial robots

[1118] The present invention also provides a system for factory and industrial robots to autonomously improve their work skills and efficiency. The server provides a means for setting goals to be achieved by the robot, and includes a means for automatically generating learning content and a learning roadmap based on the goals. For example, if a factory robot sets the goal of "improving transportation efficiency by 20%, the following learning content will be listed:

[1119] Analysis of optimal transport routes

[1120] Methods for reducing transport time

[1121] Checking safe operation

[1122] These learning contents are stored in a database as a learning roadmap dedicated to the robot, and the server provides the generated learning roadmap to the robot's control system.

[1123] Robot progress management and feedback

[1124] As the robot learns, it can record its progress and send it to the server. For example, if the robot inputs that it is 50% done with "analyzing the optimal transport route," the server stores that information in a database and suggests the next learning step. The server periodically manages the recorded progress and provides feedback to the robot. This allows the robot to learn more efficiently and improve work efficiency.

[1125] Examples of concrete examples and prompts

[1126] For example, if a user sets a goal of "becoming a data scientist" and has completed 50% of the learning content of "Python Basics," the server will suggest "data analysis techniques" as the next step and provide feedback. Similarly, if a factory robot sets a goal of "improving transportation efficiency by 20%" and reports its progress, the server will provide similar feedback. Examples of prompts for the generative AI model are as follows:

[1127] Username: Yamada Taro

[1128] Goal: Improve the transport efficiency of factory robots by 20%

[1129] Example of input prompt sentence:

[1130] Please create a learning content and roadmap to achieve Taro Yamada's goal of "improving the transport efficiency of factory robots by 20%."

[1131] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1132] Step 1:

[1133] The user registers their account. They enter their name, email address, and password into the registration form on the web page and press the "Register" button. The device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email.

[1134] Input: Name, Email Address, Password

[1135] Output: Registration completion email, user information saved to database

[1136] Step 2:

[1137] A user logs in. The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[1138] Input: Email address, Password

[1139] Output: User authenticated, redirected to dashboard

[1140] Step 3:

[1141] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in a database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[1142] Input: Goal

[1143] Output: Confirmation message for saving the goal, saving the goal to the database

[1144] Step 4:

[1145] Once the goal is set, the server automatically generates learning content and a learning roadmap based on the goal. The server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list related courses (i.e., Python basics, data analysis methods, and machine learning algorithms).

[1146] Input: Goal

[1147] Output: Learning content list, learning roadmap

[1148] Step 5:

[1149] The server displays the generated learning roadmap on the user's dashboard.

[1150] Input: Learning Roadmap

[1151] Output: Display on dashboard

[1152] Step 6:

[1153] The user progresses through their studies based on the learning roadmap. They enter their progress and send it to the server. For example, the user enters that they have completed 50% of "Python Basics." The device sends the entered progress data to the server. The server stores information such as the user ID, learning items, and progress rate in a database.

[1154] Input: Progress (e.g. Python Basics 50% complete)

[1155] Output: Save progress data to database

[1156] Step 7:

[1157] The server provides feedback to the user based on their progress, such as displaying a message on the dashboard saying, "You've completed 50% of Python basics." It also suggests "data analysis techniques" as the next learning step.

[1158] Input: Progress data

[1159] Output: Feedback message, suggested next steps

[1160] Step 8:

[1161] Factory and industrial robots autonomously set goals. For example, a robot sets a goal of "improving transport efficiency by 20%" and sends that goal to a server. The server receives the goal and stores it in a database.

[1162] Input: Goal (e.g., improve transport efficiency by 20%)

[1163] Output: Save the goal to the database

[1164] Step 9:

[1165] The server automatically generates learning content and a learning roadmap based on the robot's goals, listing learning content such as analyzing the optimal transport route, methods for shortening transport time, and confirming safe operation.

[1166] Input: Goal

[1167] Output: Learning content list, learning roadmap

[1168] Step 10:

[1169] The robot learns based on the learning roadmap and inputs its progress. The progress data sent to the server is saved in a database.

[1170] Input: Progress

[1171] Output: Save progress data to database

[1172] Step 11:

[1173] The server provides feedback to the robot based on its progress, for example displaying a message saying "50% of the optimal route analysis is complete" and suggesting the next learning step.

[1174] Input: Progress data

[1175] Output: Feedback message, suggested next steps

[1176] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1177] The present invention combines a system that allows users to set their own future goals and efficiently study toward them with an emotion engine that recognizes the user's emotions. The following describes the details of the system's functions and processing.

[1178] User Registration and Login

[1179] The system first allows users to register their own account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[1180] goal setting

[1181] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[1182] Learning content and roadmap development

[1183] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[1184] Python Basics

[1185] Data analysis methods

[1186] Machine Learning Algorithms

[1187] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[1188] Progress management

[1189] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[1190] Introducing the Emotion Engine

[1191] A distinctive feature of this invention is the introduction of an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The emotion engine analyzes the user's input data and behavioral data to estimate the user's emotions. For example, it can estimate whether the user is feeling stressed based on the speed at which the user inputs their learning progress and the evaluation comments on the learning content.

[1192] Feedback adjustment

[1193] After the emotion engine estimates the user's emotions, the server adjusts the feedback based on that information. For example, if the user is feeling stressed, the server can display an encouraging message or temporarily lower the difficulty of the learning roadmap. If the user is in good spirits, the server can suggest the next more difficult task.

[1194] Specific examples

[1195] Username: Yamada Hanako

[1196] Goal: "Become a data scientist"

[1197] 1. Learning content example:

[1198] Python Basics

[1199] Data analysis methods

[1200] Machine Learning Algorithms

[1201] 2. User "Hanako Yamada" enters that she has completed 50% of "Python Basics."

[1202] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[1203] The emotion engine analyzes the speed of progress input and the user's comments, and infers that the user is feeling stressed.

[1204] The server displays feedback like "You're 50% done with Python Basics. You're on great pace, keep trying!" and adjusts the difficulty of the next challenge.

[1205] This allows the system to not only help the user study efficiently, but also provide emotional support and strengthen support for achieving goals. This is a specific embodiment of the present invention.

[1206] The processing flow will be explained below.

[1207] Step 1:

[1208] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The device then sends the entered data to the server.

[1209] Step 2:

[1210] The server receives the user information and stores it in the database. The server sends a registration completion email to the user and displays a message to the user saying "Registration completed."

[1211] Step 3:

[1212] The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server.

[1213] Step 4:

[1214] The server validates the input information, and if it matches, generates an authentication token and authenticates the user. The server then redirects the authenticated user to the dashboard.

[1215] Step 5:

[1216] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[1217] Step 6:

[1218] The server saves the goal information to the database. The server displays a message to the user saying "Goal saved."

[1219] Step 7:

[1220] The server retrieves relevant learning resources from a database or external API based on the user's goals. The server automatically generates learning content and a learning roadmap and stores them in the database.

[1221] Step 8:

[1222] The server displays the generated learning roadmap on the user's dashboard.

[1223] Step 9:

[1224] The user progresses through the learning content and enters their progress. When the "Update progress" button is pressed, the device sends the entered progress information to the server.

[1225] Step 10:

[1226] The server saves the progress information to the database. The server displays a message to the user that the update is complete.

[1227] Step 11:

[1228] The emotion engine analyzes the user's input data and behavioral data to estimate the user's emotions, such as their input speed and comments on their learning progress.

[1229] Step 12:

[1230] The server receives the inferences from the emotion engine and adjusts the feedback content based on the user's emotions, for example, displaying an encouraging message if the user is feeling stressed.

[1231] Step 13:

[1232] The server displays appropriate feedback to the user on a dashboard, such as a message like "Great pace, keep trying!"

[1233] Step 14:

[1234] The server adjusts the difficulty and pace of the learning roadmap based on the emotion engine's inferences. For example, if the user is feeling stressed, it lowers the difficulty of the next task.

[1235] Step 15:

[1236] The server displays the new learning roadmap on the user's dashboard, helping the user take the next step.

[1237] This allows the system to not only help users study efficiently, but also provide emotional support, strengthening support for achieving goals.

[1238] Example 2

[1239] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1240] Traditional learning management systems often provide uniform learning roadmaps and feedback without considering the user's emotional state. As a result, there is a risk that users will feel stressed or lose motivation to learn. In addition, there is insufficient support that takes into account not only individual learning progress but also feelings and motivation.

[1241] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to set and input his / her future goals, a means for automatically generating learning content and a learning roadmap based on the set goals, a means for inputting and recording the user's learning progress, a means for managing the recorded progress and providing feedback to the user, and a means for recognizing the user's emotions and adjusting the learning roadmap and feedback. This not only enables the user to study efficiently, but also provides emotional support and assistance toward goal achievement.

[1242] A "user" is an individual or group who uses the system to set their own learning goals and work toward achieving them.

[1243] A "goal" is a future intention or hope such as specific learning content or skill acquisition that a user wishes to achieve.

[1244] "Learning content" refers to specific learning items and tasks that are in line with the user's goals.

[1245] A "learning roadmap" is a systematic plan of the learning content a user needs to accomplish a goal.

[1246] "Progress" refers to the state and degree of progress of the user's learning based on the learning roadmap.

[1247] "Emotions" refer to the user's feelings and psychological state, such as stress, motivation, and satisfaction.

[1248] "Feedback" refers to responses provided by the system to the user, such as progress confirmation, advice, and encouraging messages.

[1249] The "emotion engine" is a function that analyzes user input data and behavioral data and infers emotions.

[1250] A "database" is a system for efficiently managing and storing huge amounts of data such as user information, learning content, and progress status.

[1251] An "external API" is an interface for obtaining information by connecting with external services or databases.

[1252] A "server" is a central processing unit that receives data from users, processes it, and stores it in a database.

[1253] This invention combines a system that allows users to set their own future goals and efficiently study toward them with an emotion engine that recognizes the user's emotions. Specific embodiments and processing of this system will be described in detail below.

[1254] User Registration and Login

[1255] First, users must register an account to use the system. The user enters their name, email address, and password into the registration form on the web page and presses the "Register" button. At this time, the terminal sends the input data to the server using the HTTPS protocol. The server receives the data and stores the user information in a database such as MySQL. After registration is complete, the server uses the SMTP protocol to send the user a registration completion email. Next, the user enters their email address and password into the login form and presses the "Login" button. The terminal sends the input data to the server, and the server compares the received data with the database for authentication. If authentication is successful, the server redirects the user to the dashboard.

[1256] goal setting

[1257] Once a user logs in, they can set their own goals on the dashboard. The user enters their goal in the goal setting form and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in a database. Once the goal is saved, the server displays a message to the user saying "Goal saved."

[1258] Learning content and roadmap development

[1259] Once a goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server uses a database and external APIs to collect information related to the user's goal. For example, if a user sets "I want to become a data scientist," the server selects learning items such as the basics of Python, data analysis methods, and machine learning algorithms, and creates a learning roadmap. This learning roadmap is saved in the database and displayed on the user's dashboard.

[1260] Progress management

[1261] As a user progresses through their learning based on the learning roadmap, they can input their progress and send it to the server. For example, if they input that they are 50% done with "Python Basics," the device sends the input data to the server. The server stores the progress data in a database and displays feedback to the user saying, "You have completed 50% of Python Basics."

[1262] Introducing the Emotion Engine

[1263] A distinctive feature of this invention is the emotion engine, which recognizes the user's emotions and adjusts the learning roadmap and feedback accordingly. The server collects data such as the user's progress input speed and evaluation comments on the learning content. The emotion engine analyzes this data and estimates whether the user is feeling stressed. For example, if the progress input speed is slow or there are many negative comments, it is estimated that the user is feeling stressed.

[1264] Feedback adjustment

[1265] After the emotion engine estimates the user's emotions, the server adjusts the feedback based on that information. For example, if the user is feeling stressed, the server displays an encouraging message and temporarily lowers the difficulty of the learning roadmap. If the user is in good spirits, the server suggests the next more difficult task.

[1266] Specific examples

[1267] Username: Yamada Hanako

[1268] Goal: "Become a data scientist"

[1269] Examples of what you will learn:

[1270] Python Basics

[1271] Data analysis methods

[1272] Machine Learning Algorithms

[1273] Example: Hanako Yamada enters that she is 50% complete in "Python Basics"

[1274] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[1275] The emotion engine analyzes the speed of progress input and the user's comments to infer that the user is feeling stressed.

[1276] The server will display feedback such as "You're 50% done with Python Basics. You're on great pace, just keep trying!" and adjust the difficulty of the next challenge.

[1277] This allows the system to not only help users study efficiently, but also provide emotional support and strengthen assistance in achieving their goals.

[1278] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1279] Step 1:

[1280] User enters information into registration form

[1281] The user enters their name, email address, and password into the registration form and presses the "Register" button.

[1282] Input: Name, Email Address, Password

[1283] Output: The device sends the input data to the server

[1284] Specific actions

[1285] Enter the required information into the form on your web browser.

[1286] Click the submit button on the form.

[1287] Step 2:

[1288] The device sends data to the server

[1289] The terminal sends the input data to the server using the HTTPS protocol.

[1290] Input: Registration information entered by the user

[1291] Output: Data is sent to the server

[1292] Specific actions

[1293] The form submission request is sent to the server using the HTTPS protocol.

[1294] The server receives the request.

[1295] Step 3:

[1296] The server receives and stores the data

[1297] The server receives the data and stores the user information in a database (e.g., MySQL).

[1298] Input: User registration information

[1299] Output: User information is saved in the database

[1300] Specific actions

[1301] Parse the received data and check the format.

[1302] Executes a SQL query to insert the user information into the database.

[1303] Step 4:

[1304] The server sends a registration completion email

[1305] The server sends a registration completion email to the user's email address using the SMTP protocol.

[1306] Input: User's email address

[1307] Output: A registration completion email is sent to the user.

[1308] Specific actions

[1309] Establish a connection with the mail server.

[1310] Create the email body and send a request to the user's email address.

[1311] Step 5:

[1312] User enters information into login form

[1313] The user enters their email address and password into the login form and clicks the "Login" button.

[1314] Input: Email address, password

[1315] Output: The device sends the input data to the server

[1316] Specific actions

[1317] Enter your login information in your web browser.

[1318] Click the submit button on the form.

[1319] Step 6:

[1320] The device sends data to the server

[1321] The terminal transmits the input data to the server.

[1322] Input: User login information

[1323] Output: Data is sent to the server

[1324] Specific actions

[1325] The form submission request is sent to the server using the HTTPS protocol.

[1326] The server receives the request.

[1327] Step 7:

[1328] The server validates the login information

[1329] The server checks the received login information against the database and, if it matches, authenticates the user.

[1330] Input: User login information

[1331] Output: Authentication result (success / failure)

[1332] Specific actions

[1333] Parses the received data and matches it against a database using SQL queries.

[1334] An authentication result is generated and returned to the terminal.

[1335] Step 8:

[1336] The server redirects the user to the dashboard

[1337] If authentication is successful, the server redirects the user to the dashboard.

[1338] Input: Authentication result (success)

[1339] Output: Redirect to dashboard

[1340] Specific actions

[1341] Sends an HTTP redirect response.

[1342] The user's web browser loads the dashboard page.

[1343] Step 9:

[1344] User enters information into goal setting form

[1345] The user enters their goal in the goal setting form and presses the "Save" button.

[1346] Input: User goal

[1347] Output: The device sends the input data to the server

[1348] Specific actions

[1349] Enter your goals into a form in your web browser.

[1350] Click the Save button.

[1351] Step 10:

[1352] The device sends data to the server

[1353] The terminal transmits the input target data to the server.

[1354] Input: Target data

[1355] Output: Data is sent to the server

[1356] Specific actions

[1357] The form submission request is sent to the server using the HTTPS protocol.

[1358] The server receives the request.

[1359] Step 11:

[1360] The server stores the goals in a database

[1361] The server stores the user ID and goal in a database.

[1362] Input: User ID, goal data

[1363] Output: Saved to the database

[1364] Specific actions

[1365] Parse the received data and insert it into a database using SQL queries.

[1366] Step 12:

[1367] The server displays feedback to the user

[1368] Display a message on the dashboard indicating that the goal was saved.

[1369] Input: Save complete message

[1370] Output: A message is displayed on the dashboard

[1371] Specific actions

[1372] A success message is generated as an HTTP response and sent to the user's browser.

[1373] The browser displays the message.

[1374] (Application example 2)

[1375] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1376] A challenge facing modern learning systems is the lack of feedback and learning roadmap adjustments based on the user's emotions during the process of achieving the user's set goals. In particular, in production sites, where workers' emotions have a significant impact on work efficiency and quality, there is a need for workload distribution and feedback that reflects their emotions.

[1377] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to set and input their own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, and means for recognizing the user's emotions and providing feedback according to the emotions. This allows the learning content and workload to be adjusted according to the user's emotions, making it possible to progress learning and production activities efficiently and effectively.

[1378] A "user" is an individual or group that uses the system and studies or works to achieve their own goals.

[1379] A "goal" is a specific goal or objective that a user wants to achieve in the future.

[1380] "Learning content" refers to the knowledge and skills required to achieve the goals set by the user.

[1381] A "learning roadmap" is a plan that manages the progress of learning by arranging learning content in a chronological order to move toward a set goal.

[1382] "Means for automatic generation" refers to a mechanism by which the system automatically creates the necessary learning content and roadmap based on the goals set by the user.

[1383] "Progress" indicates the degree of progress of learning or work toward the goal set by the user.

[1384] "Feedback" refers to advice or evaluation provided by the system based on the user's progress, or information about the next steps to take.

[1385] "Means for recognizing emotions" refers to technology that estimates a user's psychological state (e.g., stress, joy, fatigue, etc.) from their behavioral data and input data.

[1386] An "online form" is an electronic form that allows registration or completion and is accessible via the Internet.

[1387] A "database" is a collection of digital data that stores related information in a structured manner, allowing for efficient searching and updating.

[1388] An "external API" is a standardized way for a system to access external data or functionality via an interface.

[1389] The present invention is a system that allows a user to set their own future goals and efficiently study toward those goals, and also combines it with an emotion engine that recognizes the user's emotions and provides appropriate feedback. A specific embodiment of this system is described below.

[1390] User Registration and Login

[1391] First, users register an account using the system's online form, which requires basic information such as name, email address, and password. After registration, users can log in with their email address and password.

[1392] goal setting

[1393] After logging in, users set their goals on the dashboard. Goals are entered in text format, and the data is sent from the device to the server and stored in a database.

[1394] Learning content and roadmap development

[1395] The server automatically generates learning content and a learning roadmap based on the goals set by the user. The necessary information is retrieved from the system's internal database or an external API. For example, for the goal "I want to become a data scientist," learning content such as Python basics, data analysis techniques, and machine learning algorithms is automatically listed.

[1396] Progress management

[1397] As users study, they can input their progress into the system at any time. The input progress data is sent to the server, and each user's progress is recorded in a database.

[1398] Introducing the Emotion Engine

[1399] A distinctive feature of this invention is the introduction of an emotion engine that recognizes the user's emotions. The engine analyzes the user's input data and behavioral data, and estimates the user's emotional state from, for example, the speed of progress input and comments on the learning content.

[1400] Feedback adjustment

[1401] The server adjusts the content of the feedback based on the user's emotional information estimated by the emotion engine. For example, if the emotion engine estimates that the user is feeling stressed, the server can adjust the difficulty of the learning roadmap or display an encouraging message.

[1402] Specific examples

[1403] As a specific example, smart glasses or wearable devices worn by workers at factory production sites could be used to recognize their emotions and adjust work efficiency and workload. For example, if a worker is feeling stressed, the robot's workload could be reduced and a message saying "Workload will be reduced" could be displayed on the wearable device.

[1404] An example of a prompt to input to a generative AI model is as follows:

[1405] "Designing a User Emotion Recognition Application:

[1406] Uses wearable devices and the Emotion Engine API to capture and analyze user emotions in real time.

[1407] Based on the analysis results, the robot's workload is adjusted using the Robot Controller API.

[1408] Display appropriate feedback messages depending on your emotional state.

[1409] This allows the system to provide feedback and roadmap adjustments according to the user's emotions, maximizing the efficiency and effectiveness of learning and work.

[1410] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1411] Step 1: User Registration and Login

[1412] Input: Name, email address, password (entered by user in online form)

[1413] Specific operation: The user enters their name, email address, and password into the online form and presses the "Register" button. The device then sends the entered data to the server.

[1414] Data processing and calculation: The server receives the input information and stores it in a database. It also automatically sends an email to notify you that your registration has been completed.

[1415] Output: Registration confirmation email (sent from the server to the user)

[1416] Step 2: Goal Setting

[1417] Input: Goal (entered into the dashboard after user logs in)

[1418] Specific operation: The user enters their goals in text format into the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[1419] Data processing and calculation: The server stores the target in a database along with the user ID.

[1420] Output: Goal save complete message (displayed to user from server)

[1421] Step 3: Create learning content and roadmap

[1422] Input: Goal (obtained by the server from the database)

[1423] Specific operation: The server retrieves information related to the goal from the system's internal database or an external API.

[1424] Data processing and calculation: The server automatically generates learning content and a learning roadmap, and stores them in a database along with the user ID.

[1425] Output: Learning roadmap (displayed by the server to the user's dashboard)

[1426] Step 4: Track progress

[1427] Input: Progress data (user enters progress information)

[1428] Specific operation: The user enters the learning progress into the dashboard and presses the "Save" button. The device sends the progress data to the server.

[1429] Data processing and calculation: The server stores the progress data along with the user ID in a database and generates feedback according to the progress.

[1430] Output: Feedback message (displayed by the server to the user's dashboard)

[1431] Step 5: Implementing the Emotion Engine

[1432] Input: Behavioral and input data (user input speed, rating comments, etc.)

[1433] Specific operation: The emotion engine analyzes user behavioral data and input data in real time.

[1434] Data processing and calculation: The emotion engine recognizes emotions and estimates psychological states such as stress and fatigue.

[1435] Output: Estimated emotional state (sent from the emotion engine to the server)

[1436] Step 6: Adjusting feedback

[1437] Input: Emotion state estimation result (data from emotion engine)

[1438] Specific behavior: The server adjusts the content of the feedback based on the results of the emotion engine, and in some cases changes the difficulty of the learning roadmap.

[1439] Data processing and calculation: The server determines the next feedback content and sends it to the user.

[1440] Output: Adjusted feedback message (displayed from server to user's dashboard)

[1441] By executing the above steps in succession, effective learning support according to the user's emotional state is realized.

[1442] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1443] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1444] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1445] [Fourth embodiment]

[1446] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1447] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1448] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1449] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1450] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1451] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1452] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1453] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1454] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1455] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1456] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1457] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1458] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1459] The present invention provides a system that allows users to set their own future goals and efficiently study toward those goals. The functions and processing of this system are described in detail below.

[1460] User Registration and Login

[1461] The system first allows users to register their own account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[1462] goal setting

[1463] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[1464] Learning content and roadmap development

[1465] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[1466] Python Basics

[1467] Data analysis methods

[1468] Machine Learning Algorithms

[1469] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[1470] Progress management

[1471] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[1472] Progress tracking and feedback

[1473] The server periodically manages the recorded progress and provides feedback to the user. In particular, if the user is behind schedule, it sends reminders and offers next study steps and advice. This allows the user to study efficiently and receive support to achieve their goals.

[1474] Specific examples

[1475] Username: Yamada Taro

[1476] Goal: "Become a data scientist"

[1477] 1. Learning content example:

[1478] Python Basics

[1479] Data analysis methods

[1480] Machine Learning Algorithms

[1481] 2. User "Taro Yamada" enters that he has completed 50% of "Python Basics."

[1482] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[1483] The server displays feedback on the dashboard saying "You're 50% done with Python Basics."

[1484] This allows the system to help users study efficiently, properly understand their progress, and receive appropriate feedback. This is a specific embodiment of the present invention.

[1485] The processing flow will be explained below.

[1486] Step 1:

[1487] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The device then sends the entered data to the server.

[1488] Step 2:

[1489] The server receives the user information and stores it in the database. The server sends a registration completion email to the user and displays a message to the user saying "Registration completed."

[1490] Step 3:

[1491] The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server.

[1492] Step 4:

[1493] The server validates the input information, and if it matches, generates an authentication token and authenticates the user. The server then redirects the authenticated user to the dashboard.

[1494] Step 5:

[1495] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[1496] Step 6:

[1497] The server saves the goal information to the database. The server displays a message to the user saying "Goal saved."

[1498] Step 7:

[1499] The server retrieves relevant learning resources from a database or external API based on the user's goals. The server automatically generates learning content and a learning roadmap and stores them in the database.

[1500] Step 8:

[1501] The server displays the generated learning roadmap on the user's dashboard.

[1502] Step 9:

[1503] The user progresses through the learning content and enters their progress. When the "Update progress" button is pressed, the device sends the entered progress information to the server.

[1504] Step 10:

[1505] The server saves the progress information to the database. The server displays a message to the user that the update is complete.

[1506] Step 11:

[1507] The server periodically retrieves the user's progress data from the database and evaluates the progress. If the user is behind schedule, the server sends a reminder.

[1508] Step 12:

[1509] The server generates next study steps and advice based on the progress data and displays them as feedback on the user's dashboard.

[1510] This allows users to study efficiently and receive support to achieve their goals.

[1511] Example 1

[1512] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1513] Conventional learning support systems lack specific support for users to set their own future goals and efficiently progress toward them. Furthermore, the automatic generation of learning content and roadmaps is limited, and progress management and appropriate feedback are insufficient. This makes it difficult for users to efficiently progress toward achieving their goals.

[1514] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1515] In this invention, the server includes means for a user to set and input their own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, means for obtaining information related to the goals set by the user using a generative AI model and recommending learning content, and means for displaying the next learning step and advice based on the user's progress, thereby enabling the user to efficiently progress in their studies, properly understand their progress, and receive appropriate feedback.

[1516] A "user" is an entity that uses the system to set their own goals and manage their learning progress.

[1517] "Goals" are specific details of objectives or tasks that a user wants to achieve in the future.

[1518] "Learning content" is a collection of knowledge and skills necessary to achieve a user's goals.

[1519] A "learning roadmap" is a planning chart that shows the order in which a user should proceed with their learning in order to achieve their goal.

[1520] An "online form" is an electronic input means that allows a user to enter information or register through an interface such as a browser.

[1521] A "database" is a collection of information for efficiently storing and managing user information, learning content, progress, etc.

[1522] An "external API" is an interface that allows a system to obtain data from external services or sources.

[1523] A "generative AI model" is a model that uses artificial intelligence to generate and provide optimal information related to a user's goals.

[1524] "Input data" refers to information or instructions that a user enters into a system.

[1525] "Validation" is a procedure to check whether the data entered by the user conforms to specified standards and formats.

[1526] "Feedback" refers to information such as progress and advice provided to the user by the system.

[1527] A "reminder" is a notification that reminds the user of important information or next actions.

[1528] The present invention provides a system that allows a user to set his or her own future goals and efficiently study toward those goals. The system based on the present invention is implemented using the following specific hardware and software.

[1529] First, a user registers their account through a web page or mobile application. To do this, the user enters information such as their name, email address, and password into an online form and presses the registration button. This input data is sent from the device (personal computer or smartphone) to the server as an HTTP POST request.

[1530] The server receives the request and performs validation. For example, it checks whether the entered email address is in the correct format and whether the password meets certain requirements. If validation is successful, the server saves the user data in a database (e.g., PostgreSQL) and sends a registration completion email to the user using an SMTP server (e.g., SendGrid).

[1531] Next, when a user logs in, they enter their email address and password into the login form. The device sends the entered data to the server, which then verifies it against the information in the database. If authentication is successful, the user is redirected to the dashboard page.

[1532] After logging in, the user enters their goal into the goal setting form on the dashboard and presses the save button. This goal data is sent to the server again and saved in the database. The server then displays a message to the user saying "Goal saved."

[1533] The server automatically generates learning content and a learning roadmap based on the set goals. The server retrieves relevant information from a database or external API (e.g., YouTube Data API) and recommends optimal learning content using a generative AI model (e.g., GPT-4). The generated learning roadmap is stored in a database and displayed on the user's dashboard.

[1534] As users progress through their studies, they enter their progress on the dashboard and send the data to the server, which stores the data in a database and provides users with feedback on their progress and next steps, allowing them to study efficiently.

[1535] As a concrete example, if a user named "Yamada Taro" sets the goal of "becoming a data scientist," the server will generate a learning roadmap by listing learning content such as Python basics, data analysis techniques, and machine learning algorithms. If Yamada Taro enters that he has completed 50% of "Python basics," the server will save the progress data in the database and display the feedback "50% of Python basics completed" on the dashboard.

[1536] This system allows users to properly understand their own learning progress and proceed with their studies according to plan.

[1537] Prompt Sentence Examples

[1538] "Please explain what happens when a user fills out a registration form and registers an account."

[1539] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1540] Step 1:

[1541] User Registration

[1542] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The input data (name, email address, password) is sent from the terminal to the server as an HTTP POST request. The server receives the request and validates the data (checking the format and password strength). If validation is successful, the server saves the input data in a database and uses the SMTP server to send a registration completion email to the user's email address. The user can confirm that registration is complete by receiving the registration completion email.

[1543] Step 2:

[1544] Log in

[1545] The user enters their email address and password into the login form and presses the "Login" button. The input data (email address, password) is sent from the terminal to the server. The server receives the request and authenticates it by checking the information in the database. If the email address and password match, authentication is successful. After successful authentication, the server redirects the user to the dashboard page. When the user logs in, the dashboard is displayed.

[1546] Step 3:

[1547] goal setting

[1548] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The input data (goal) is sent from the terminal to the server. The server receives the request and saves the goal data in a database. The server then displays a message to the user saying "Goal saved." The user can confirm that goal setting has been completed.

[1549] Step 4:

[1550] Learning content and roadmap development

[1551] The server automatically generates learning content and a learning roadmap based on the set goals. The server retrieves relevant information from databases and external APIs, and then uses a generative AI model to recommend the optimal learning content. For example, if the goal is to "become a data scientist," the server will list learning content such as the basics of Python, data analysis techniques, and machine learning algorithms. The generated learning roadmap is saved in a database, and the server displays it on the user's dashboard. Users can view the learning roadmap to confirm their learning plan.

[1552] Step 5:

[1553] Progress management

[1554] Each time a user progresses with their learning based on the learning roadmap, they enter their progress on the dashboard. For example, they may enter that they have completed 50% of "Python Basics." The input data (progress rate) is sent from the device to the server. The server receives the progress data and stores it in a database. The server then displays feedback such as "You have completed 50% of Python Basics" on the user's dashboard. The user can then check their own learning progress.

[1555] Step 6:

[1556] Progress tracking and feedback

[1557] The server periodically checks the recorded progress and provides appropriate feedback to the user. For example, if progress is falling behind, it will send a reminder to the user and display the next study step or advice. The server can also analyze the progress data and adjust the study plan based on the results. This allows users to study efficiently and receive support toward achieving their goals.

[1558] (Application example 1)

[1559] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1560] Conventional factories and industrial environments lack systems for autonomously managing and optimizing robots' work efficiency and skill improvement. This makes it difficult for robots to effectively manage their progress and learn toward set goals. Furthermore, a lack of timely feedback and improvement suggestions prevents robots from achieving their full potential. The present invention aims to solve these problems.

[1561] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1562] In this invention, the server includes means for a user to set and input his or her own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, means for setting goals for factory or industrial robots to autonomously improve their work skills and efficiency and automatically generating learning content to achieve those goals, and means for recording the robot's work progress and providing feedback based on that progress. This makes it possible to support the robot in autonomously achieving its goals to improve its work efficiency, and to achieve optimal work performance through progress management and appropriate feedback.

[1563] "User" refers to a person or machine, including a robot, that uses the system.

[1564] A "goal" is a specific result or objective that a user or robot aims to achieve.

[1565] "Input means" refers to a method or device by which a user or robot provides data or information to a system.

[1566] "Learning content" refers to the specific learning items and materials required to acquire the knowledge and skills necessary to achieve a goal.

[1567] A "learning roadmap" is a learning progress plan or procedure manual that is automatically generated by the system based on set goals.

[1568] "Means for automatic generation" refers to the functions and methods that allow the system to automatically create learning content and learning roadmaps based on goal setting.

[1569] "Progress" refers to information that indicates the state and degree of progress that a user or robot is making toward a set goal.

[1570] "Feedback" refers to evaluations, advice, suggestions for next steps, etc. provided to users or robots.

[1571] "Factory and industrial robots" refer to machines and devices used in manufacturing and industrial fields to automate work and improve efficiency.

[1572] "Autonomously" refers to a user or robot making decisions and acting independently without external intervention or instructions.

[1573] "Work efficiency" refers to the work results and productivity achieved within a certain period of time.

[1574] "Learning content to achieve" refers to the specific items of knowledge and skills and practice methods required to achieve the goal.

[1575] "Recording means" refers to a device or method for registering and storing the progress and learning history of a user or robot.

[1576] The present invention provides a system that allows users to set their own future goals and efficiently study toward them. It also includes a system that allows factories and industrial robots to autonomously set goals to improve their work skills and efficiency, automatically generate learning content to achieve those goals, manage progress, and provide feedback.

[1577] User Registration and Login

[1578] The server first allows the user to register their account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[1579] goal setting

[1580] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[1581] Learning content and roadmap development

[1582] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[1583] Python Basics

[1584] Data analysis methods

[1585] Machine Learning Algorithms

[1586] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[1587] Progress management

[1588] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[1589] Progress tracking and feedback

[1590] The server periodically manages the recorded progress and provides feedback to the user. In particular, if the user is behind schedule, it sends reminders and offers next learning steps and advice. This allows the user to study efficiently and receive support to achieve their goals.

[1591] Self-learning for factories and industrial robots

[1592] The present invention also provides a system for factory and industrial robots to autonomously improve their work skills and efficiency. The server provides a means for setting goals to be achieved by the robot, and includes a means for automatically generating learning content and a learning roadmap based on the goals. For example, if a factory robot sets the goal of "improving transportation efficiency by 20%, the following learning content will be listed:

[1593] Analysis of optimal transport routes

[1594] Methods for reducing transport time

[1595] Checking safe operation

[1596] These learning contents are stored in a database as a learning roadmap dedicated to the robot, and the server provides the generated learning roadmap to the robot's control system.

[1597] Robot progress management and feedback

[1598] As the robot learns, it can record its progress and send it to the server. For example, if the robot inputs that it is 50% done with "analyzing the optimal transport route," the server stores that information in a database and suggests the next learning step. The server periodically manages the recorded progress and provides feedback to the robot. This allows the robot to learn more efficiently and improve work efficiency.

[1599] Examples of concrete examples and prompts

[1600] For example, if a user sets a goal of "becoming a data scientist" and has completed 50% of the learning content of "Python Basics," the server will suggest "data analysis techniques" as the next step and provide feedback. Similarly, if a factory robot sets a goal of "improving transportation efficiency by 20%" and reports its progress, the server will provide similar feedback. Examples of prompts for the generative AI model are as follows:

[1601] Username: Yamada Taro

[1602] Goal: Improve the transport efficiency of factory robots by 20%

[1603] Example of input prompt sentence:

[1604] Please create a learning content and roadmap to achieve Taro Yamada's goal of "improving the transport efficiency of factory robots by 20%."

[1605] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1606] Step 1:

[1607] The user registers their account. They enter their name, email address, and password into the registration form on the web page and press the "Register" button. The device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email.

[1608] Input: Name, Email Address, Password

[1609] Output: Registration completion email, user information saved to database

[1610] Step 2:

[1611] A user logs in. The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[1612] Input: Email address, Password

[1613] Output: User authenticated, redirected to dashboard

[1614] Step 3:

[1615] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in a database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[1616] Input: Goal

[1617] Output: Confirmation message for saving the goal, saving the goal to the database

[1618] Step 4:

[1619] Once the goal is set, the server automatically generates learning content and a learning roadmap based on the goal. The server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list related courses (i.e., Python basics, data analysis methods, and machine learning algorithms).

[1620] Input: Goal

[1621] Output: Learning content list, learning roadmap

[1622] Step 5:

[1623] The server displays the generated learning roadmap on the user's dashboard.

[1624] Input: Learning Roadmap

[1625] Output: Display on dashboard

[1626] Step 6:

[1627] The user progresses through their studies based on the learning roadmap. They enter their progress and send it to the server. For example, the user enters that they have completed 50% of "Python Basics." The device sends the entered progress data to the server. The server stores information such as the user ID, learning items, and progress rate in a database.

[1628] Input: Progress (e.g. Python Basics 50% complete)

[1629] Output: Save progress data to database

[1630] Step 7:

[1631] The server provides feedback to the user based on their progress, such as displaying a message on the dashboard saying, "You've completed 50% of Python basics." It also suggests "data analysis techniques" as the next learning step.

[1632] Input: Progress data

[1633] Output: Feedback message, suggested next steps

[1634] Step 8:

[1635] Factory and industrial robots autonomously set goals. For example, a robot sets a goal of "improving transport efficiency by 20%" and sends that goal to a server. The server receives the goal and stores it in a database.

[1636] Input: Goal (e.g., improve transport efficiency by 20%)

[1637] Output: Save the goal to the database

[1638] Step 9:

[1639] The server automatically generates learning content and a learning roadmap based on the robot's goals, listing learning content such as analyzing the optimal transport route, methods for shortening transport time, and confirming safe operation.

[1640] Input: Goal

[1641] Output: Learning content list, learning roadmap

[1642] Step 10:

[1643] The robot learns based on the learning roadmap and inputs its progress. The progress data sent to the server is saved in a database.

[1644] Input: Progress

[1645] Output: Save progress data to database

[1646] Step 11:

[1647] The server provides feedback to the robot based on its progress, for example displaying a message saying "50% of the optimal route analysis is complete" and suggesting the next learning step.

[1648] Input: Progress data

[1649] Output: Feedback message, suggested next steps

[1650] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1651] The present invention combines a system that allows users to set their own future goals and efficiently study toward them with an emotion engine that recognizes the user's emotions. The following describes the details of the system's functions and processing.

[1652] User Registration and Login

[1653] The system first allows users to register their own account and log in. When the user enters their name, email address, and password into the registration form on the web page and presses the "Register" button, the device sends the entered data to the server. The server receives the user's information, stores it in a database, and sends the user a registration completion email. Next, when the user enters their email address and password into the login form and presses the "Login" button, the device sends the entered data to the server. The server verifies the entered information, and if it matches, authenticates the user and redirects them to the dashboard.

[1654] goal setting

[1655] After logging in, the user enters their goal in the goal setting form on the dashboard and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in the database. After the goal is saved, the server displays a message to the user saying "Goal saved."

[1656] Learning content and roadmap development

[1657] Once the goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server retrieves information related to the goal entered by the user from a database or external API and creates an optimal learning plan. For example, if a user enters "I want to become a data scientist," the server will list the following learning content:

[1658] Python Basics

[1659] Data analysis methods

[1660] Machine Learning Algorithms

[1661] These learning contents are stored in a database as a learning roadmap for the user, and the server displays the generated learning roadmap on the user's dashboard.

[1662] Progress management

[1663] As a user progresses through their studies based on the learning roadmap, they can enter their progress and send it to the server. For example, if a user enters that they have completed 50% of "Python Basics," the device sends the entered progress data to the server. The server then stores information such as the user ID, learning item, and progress rate in a database. At that time, the server displays feedback to the user, stating "You have completed 50% of Python Basics" on the dashboard.

[1664] Introducing the Emotion Engine

[1665] A distinctive feature of this invention is the introduction of an emotion engine that recognizes the user's emotions and adjusts the system's operation based on those emotions. The emotion engine analyzes the user's input data and behavioral data to estimate the user's emotions. For example, it can estimate whether the user is feeling stressed based on the speed at which the user inputs their learning progress and the evaluation comments on the learning content.

[1666] Feedback adjustment

[1667] After the emotion engine estimates the user's emotions, the server adjusts the feedback based on that information. For example, if the user is feeling stressed, the server can display an encouraging message or temporarily lower the difficulty of the learning roadmap. If the user is in good spirits, the server can suggest the next more difficult task.

[1668] Specific examples

[1669] Username: Yamada Hanako

[1670] Goal: "Become a data scientist"

[1671] 1. Learning content example:

[1672] Python Basics

[1673] Data analysis methods

[1674] Machine Learning Algorithms

[1675] 2. User "Hanako Yamada" enters that she has completed 50% of "Python Basics."

[1676] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[1677] The emotion engine analyzes the speed of progress input and the user's comments, and infers that the user is feeling stressed.

[1678] The server displays feedback like "You're 50% done with Python Basics. You're on great pace, keep trying!" and adjusts the difficulty of the next challenge.

[1679] This allows the system to not only help the user study efficiently, but also provide emotional support and strengthen support for achieving goals. This is a specific embodiment of the present invention.

[1680] The processing flow will be explained below.

[1681] Step 1:

[1682] A user enters their name, email address, and password into the registration form on a web page and presses the "Register" button. The device then sends the entered data to the server.

[1683] Step 2:

[1684] The server receives the user information and stores it in the database. The server sends a registration completion email to the user and displays a message to the user saying "Registration completed."

[1685] Step 3:

[1686] The user enters their email address and password into the login form and presses the "Login" button. The device sends the entered data to the server.

[1687] Step 4:

[1688] The server validates the input information, and if it matches, generates an authentication token and authenticates the user. The server then redirects the authenticated user to the dashboard.

[1689] Step 5:

[1690] The user enters a goal into the goal setting form on the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[1691] Step 6:

[1692] The server saves the goal information to the database. The server displays a message to the user saying "Goal saved."

[1693] Step 7:

[1694] The server retrieves relevant learning resources from a database or external API based on the user's goals. The server automatically generates learning content and a learning roadmap and stores them in the database.

[1695] Step 8:

[1696] The server displays the generated learning roadmap on the user's dashboard.

[1697] Step 9:

[1698] The user progresses through the learning content and enters their progress. When the "Update progress" button is pressed, the device sends the entered progress information to the server.

[1699] Step 10:

[1700] The server saves the progress information to the database. The server displays a message to the user that the update is complete.

[1701] Step 11:

[1702] The emotion engine analyzes the user's input data and behavioral data to estimate the user's emotions, such as their input speed and comments on their learning progress.

[1703] Step 12:

[1704] The server receives the inferences from the emotion engine and adjusts the feedback content based on the user's emotions, for example, displaying an encouraging message if the user is feeling stressed.

[1705] Step 13:

[1706] The server displays appropriate feedback to the user on a dashboard, such as a message like "Great pace, keep trying!"

[1707] Step 14:

[1708] The server adjusts the difficulty and pace of the learning roadmap based on the emotion engine's inferences. For example, if the user is feeling stressed, it lowers the difficulty of the next task.

[1709] Step 15:

[1710] The server displays the new learning roadmap on the user's dashboard, helping the user take the next step.

[1711] This allows the system to not only help users study efficiently, but also provide emotional support, strengthening support for achieving goals.

[1712] Example 2

[1713] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1714] Traditional learning management systems often provide uniform learning roadmaps and feedback without considering the user's emotional state. As a result, there is a risk that users will feel stressed or lose motivation to learn. In addition, there is insufficient support that takes into account not only individual learning progress but also feelings and motivation.

[1715] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to set and input his / her future goals, a means for automatically generating learning content and a learning roadmap based on the set goals, a means for inputting and recording the user's learning progress, a means for managing the recorded progress and providing feedback to the user, and a means for recognizing the user's emotions and adjusting the learning roadmap and feedback. This not only enables the user to study efficiently, but also provides emotional support and assistance toward goal achievement.

[1716] A "user" is an individual or group who uses the system to set their own learning goals and work toward achieving them.

[1717] A "goal" is a future intention or hope such as specific learning content or skill acquisition that a user wishes to achieve.

[1718] "Learning content" refers to specific learning items and tasks that are in line with the user's goals.

[1719] A "learning roadmap" is a systematic plan of the learning content a user needs to accomplish a goal.

[1720] "Progress" refers to the state and degree of progress of the user's learning based on the learning roadmap.

[1721] "Emotions" refer to the user's feelings and psychological state, such as stress, motivation, and satisfaction.

[1722] "Feedback" refers to responses provided by the system to the user, such as progress confirmation, advice, and encouraging messages.

[1723] The "emotion engine" is a function that analyzes user input data and behavioral data and infers emotions.

[1724] A "database" is a system for efficiently managing and storing huge amounts of data such as user information, learning content, and progress status.

[1725] An "external API" is an interface for obtaining information by connecting with external services or databases.

[1726] A "server" is a central processing unit that receives data from users, processes it, and stores it in a database.

[1727] This invention combines a system that allows users to set their own future goals and efficiently study toward them with an emotion engine that recognizes the user's emotions. Specific embodiments and processing of this system will be described in detail below.

[1728] User Registration and Login

[1729] First, users must register an account to use the system. The user enters their name, email address, and password into the registration form on the web page and presses the "Register" button. At this time, the terminal sends the input data to the server using the HTTPS protocol. The server receives the data and stores the user information in a database such as MySQL. After registration is complete, the server uses the SMTP protocol to send the user a registration completion email. Next, the user enters their email address and password into the login form and presses the "Login" button. The terminal sends the input data to the server, and the server compares the received data with the database for authentication. If authentication is successful, the server redirects the user to the dashboard.

[1730] goal setting

[1731] Once a user logs in, they can set their own goals on the dashboard. The user enters their goal in the goal setting form and presses the "Save" button. The device sends the input data to the server, which saves the user ID and goal in a database. Once the goal is saved, the server displays a message to the user saying "Goal saved."

[1732] Learning content and roadmap development

[1733] Once a goal is set, the server automatically generates learning content and a learning roadmap based on that goal. Specifically, the server uses a database and external APIs to collect information related to the user's goal. For example, if a user sets "I want to become a data scientist," the server selects learning items such as the basics of Python, data analysis methods, and machine learning algorithms, and creates a learning roadmap. This learning roadmap is saved in the database and displayed on the user's dashboard.

[1734] Progress management

[1735] As a user progresses through their learning based on the learning roadmap, they can input their progress and send it to the server. For example, if they input that they are 50% done with "Python Basics," the device sends the input data to the server. The server stores the progress data in a database and displays feedback to the user saying, "You have completed 50% of Python Basics."

[1736] Introducing the Emotion Engine

[1737] A distinctive feature of this invention is the emotion engine, which recognizes the user's emotions and adjusts the learning roadmap and feedback accordingly. The server collects data such as the user's progress input speed and evaluation comments on the learning content. The emotion engine analyzes this data and estimates whether the user is feeling stressed. For example, if the progress input speed is slow or there are many negative comments, it is estimated that the user is feeling stressed.

[1738] Feedback adjustment

[1739] After the emotion engine estimates the user's emotions, the server adjusts the feedback based on that information. For example, if the user is feeling stressed, the server displays an encouraging message and temporarily lowers the difficulty of the learning roadmap. If the user is in good spirits, the server suggests the next more difficult task.

[1740] Specific examples

[1741] Username: Yamada Hanako

[1742] Goal: "Become a data scientist"

[1743] Examples of what you will learn:

[1744] Python Basics

[1745] Data analysis methods

[1746] Machine Learning Algorithms

[1747] Example: Hanako Yamada enters that she is 50% complete in "Python Basics"

[1748] The server stores the entered progress data in a database and suggests "data analysis methods" as the next study step.

[1749] The emotion engine analyzes the speed of progress input and the user's comments to infer that the user is feeling stressed.

[1750] The server will display feedback such as "You're 50% done with Python Basics. You're on great pace, just keep trying!" and adjust the difficulty of the next challenge.

[1751] This allows the system to not only help users study efficiently, but also provide emotional support and strengthen assistance in achieving their goals.

[1752] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1753] Step 1:

[1754] User enters information into registration form

[1755] The user enters their name, email address, and password into the registration form and presses the "Register" button.

[1756] Input: Name, Email Address, Password

[1757] Output: The device sends the input data to the server

[1758] Specific actions

[1759] Enter the required information into the form on your web browser.

[1760] Click the submit button on the form.

[1761] Step 2:

[1762] The device sends data to the server

[1763] The terminal sends the input data to the server using the HTTPS protocol.

[1764] Input: Registration information entered by the user

[1765] Output: Data is sent to the server

[1766] Specific actions

[1767] The form submission request is sent to the server using the HTTPS protocol.

[1768] The server receives the request.

[1769] Step 3:

[1770] The server receives and stores the data

[1771] The server receives the data and stores the user information in a database (e.g., MySQL).

[1772] Input: User registration information

[1773] Output: User information is saved in the database

[1774] Specific actions

[1775] Parse the received data and check the format.

[1776] Executes a SQL query to insert the user information into the database.

[1777] Step 4:

[1778] The server sends a registration completion email

[1779] The server sends a registration completion email to the user's email address using the SMTP protocol.

[1780] Input: User's email address

[1781] Output: A registration completion email is sent to the user.

[1782] Specific actions

[1783] Establish a connection with the mail server.

[1784] Create the email body and send a request to the user's email address.

[1785] Step 5:

[1786] User enters information into login form

[1787] The user enters their email address and password into the login form and clicks the "Login" button.

[1788] Input: Email address, password

[1789] Output: The device sends the input data to the server

[1790] Specific actions

[1791] Enter your login information in your web browser.

[1792] Click the submit button on the form.

[1793] Step 6:

[1794] The device sends data to the server

[1795] The terminal transmits the input data to the server.

[1796] Input: User login information

[1797] Output: Data is sent to the server

[1798] Specific actions

[1799] The form submission request is sent to the server using the HTTPS protocol.

[1800] The server receives the request.

[1801] Step 7:

[1802] The server validates the login information

[1803] The server checks the received login information against the database and, if it matches, authenticates the user.

[1804] Input: User login information

[1805] Output: Authentication result (success / failure)

[1806] Specific actions

[1807] Parses the received data and matches it against a database using SQL queries.

[1808] An authentication result is generated and returned to the terminal.

[1809] Step 8:

[1810] The server redirects the user to the dashboard

[1811] If authentication is successful, the server redirects the user to the dashboard.

[1812] Input: Authentication result (success)

[1813] Output: Redirect to dashboard

[1814] Specific actions

[1815] Sends an HTTP redirect response.

[1816] The user's web browser loads the dashboard page.

[1817] Step 9:

[1818] User enters information into goal setting form

[1819] The user enters their goal in the goal setting form and presses the "Save" button.

[1820] Input: User goal

[1821] Output: The device sends the input data to the server

[1822] Specific actions

[1823] Enter your goals into a form in your web browser.

[1824] Click the Save button.

[1825] Step 10:

[1826] The device sends data to the server

[1827] The terminal transmits the input target data to the server.

[1828] Input: Target data

[1829] Output: Data is sent to the server

[1830] Specific actions

[1831] The form submission request is sent to the server using the HTTPS protocol.

[1832] The server receives the request.

[1833] Step 11:

[1834] The server stores the goals in a database

[1835] The server stores the user ID and goal in a database.

[1836] Input: User ID, goal data

[1837] Output: Saved to the database

[1838] Specific actions

[1839] Parse the received data and insert it into a database using SQL queries.

[1840] Step 12:

[1841] The server displays feedback to the user

[1842] Display a message on the dashboard indicating that the goal was saved.

[1843] Input: Save complete message

[1844] Output: A message is displayed on the dashboard

[1845] Specific actions

[1846] A success message is generated as an HTTP response and sent to the user's browser.

[1847] The browser displays the message.

[1848] (Application example 2)

[1849] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1850] A challenge facing modern learning systems is the lack of feedback and learning roadmap adjustments based on the user's emotions during the process of achieving the user's set goals. In particular, in production sites, where workers' emotions have a significant impact on work efficiency and quality, there is a need for workload distribution and feedback that reflects their emotions.

[1851] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to set and input their own future goals, means for automatically generating learning content and a learning roadmap based on the set goals, means for inputting and recording the user's learning progress, means for managing the recorded progress and providing feedback to the user, and means for recognizing the user's emotions and providing feedback according to the emotions. This allows the learning content and workload to be adjusted according to the user's emotions, making it possible to progress learning and production activities efficiently and effectively.

[1852] A "user" is an individual or group that uses the system and studies or works to achieve their own goals.

[1853] A "goal" is a specific goal or objective that a user wants to achieve in the future.

[1854] "Learning content" refers to the knowledge and skills required to achieve the goals set by the user.

[1855] A "learning roadmap" is a plan that manages the progress of learning by arranging learning content in a chronological order to move toward a set goal.

[1856] "Means for automatic generation" refers to a mechanism by which the system automatically creates the necessary learning content and roadmap based on the goals set by the user.

[1857] "Progress" indicates the degree of progress of learning or work toward the goal set by the user.

[1858] "Feedback" refers to advice or evaluation provided by the system based on the user's progress, or information about the next steps to take.

[1859] "Means for recognizing emotions" refers to technology that estimates a user's psychological state (e.g., stress, joy, fatigue, etc.) from their behavioral data and input data.

[1860] An "online form" is an electronic form that allows registration or completion and is accessible via the Internet.

[1861] A "database" is a collection of digital data that stores related information in a structured manner, allowing for efficient searching and updating.

[1862] An "external API" is a standardized way for a system to access external data or functionality via an interface.

[1863] The present invention is a system that allows a user to set their own future goals and efficiently study toward those goals, and also combines it with an emotion engine that recognizes the user's emotions and provides appropriate feedback. A specific embodiment of this system is described below.

[1864] User Registration and Login

[1865] First, users register an account using the system's online form, which requires basic information such as name, email address, and password. After registration, users can log in with their email address and password.

[1866] goal setting

[1867] After logging in, users set their goals on the dashboard. Goals are entered in text format, and the data is sent from the device to the server and stored in a database.

[1868] Learning content and roadmap development

[1869] The server automatically generates learning content and a learning roadmap based on the goals set by the user. The necessary information is retrieved from the system's internal database or an external API. For example, for the goal "I want to become a data scientist," learning content such as Python basics, data analysis techniques, and machine learning algorithms is automatically listed.

[1870] Progress management

[1871] As users study, they can input their progress into the system at any time. The input progress data is sent to the server, and each user's progress is recorded in a database.

[1872] Introducing the Emotion Engine

[1873] A distinctive feature of this invention is the introduction of an emotion engine that recognizes the user's emotions. The engine analyzes the user's input data and behavioral data, and estimates the user's emotional state from, for example, the speed of progress input and comments on the learning content.

[1874] Feedback adjustment

[1875] The server adjusts the content of the feedback based on the user's emotional information estimated by the emotion engine. For example, if the emotion engine estimates that the user is feeling stressed, the server can adjust the difficulty of the learning roadmap or display an encouraging message.

[1876] Specific examples

[1877] As a specific example, smart glasses or wearable devices worn by workers at factory production sites could be used to recognize their emotions and adjust work efficiency and workload. For example, if a worker is feeling stressed, the robot's workload could be reduced and a message saying "Workload will be reduced" could be displayed on the wearable device.

[1878] An example of a prompt to input to a generative AI model is as follows:

[1879] "Designing a User Emotion Recognition Application:

[1880] Uses wearable devices and the Emotion Engine API to capture and analyze user emotions in real time.

[1881] Based on the analysis results, the robot's workload is adjusted using the Robot Controller API.

[1882] Display appropriate feedback messages depending on your emotional state.

[1883] This allows the system to provide feedback and roadmap adjustments according to the user's emotions, maximizing the efficiency and effectiveness of learning and work.

[1884] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1885] Step 1: User Registration and Login

[1886] Input: Name, email address, password (entered by user in online form)

[1887] Specific operation: The user enters their name, email address, and password into the online form and presses the "Register" button. The device then sends the entered data to the server.

[1888] Data processing and calculation: The server receives the input information and stores it in a database. It also automatically sends an email to notify you that your registration has been completed.

[1889] Output: Registration confirmation email (sent from the server to the user)

[1890] Step 2: Goal Setting

[1891] Input: Goal (entered into the dashboard after user logs in)

[1892] Specific operation: The user enters their goals in text format into the dashboard and presses the "Save" button. The device then sends the entered data to the server.

[1893] Data processing and calculation: The server stores the target in a database along with the user ID.

[1894] Output: Goal save complete message (displayed to user from server)

[1895] Step 3: Create learning content and roadmap

[1896] Input: Goal (obtained by the server from the database)

[1897] Specific operation: The server retrieves information related to the goal from the system's internal database or an external API.

[1898] Data processing and calculation: The server automatically generates learning content and a learning roadmap, and stores them in a database along with the user ID.

[1899] Output: Learning roadmap (displayed by the server to the user's dashboard)

[1900] Step 4: Track progress

[1901] Input: Progress data (user enters progress information)

[1902] Specific operation: The user enters the learning progress into the dashboard and presses the "Save" button. The device sends the progress data to the server.

[1903] Data processing and calculation: The server stores the progress data along with the user ID in a database and generates feedback according to the progress.

[1904] Output: Feedback message (displayed by the server to the user's dashboard)

[1905] Step 5: Implementing the Emotion Engine

[1906] Input: Behavioral and input data (user input speed, rating comments, etc.)

[1907] Specific operation: The emotion engine analyzes user behavioral data and input data in real time.

[1908] Data processing and calculation: The emotion engine recognizes emotions and estimates psychological states such as stress and fatigue.

[1909] Output: Estimated emotional state (sent from the emotion engine to the server)

[1910] Step 6: Adjusting feedback

[1911] Input: Emotion state estimation result (data from emotion engine)

[1912] Specific behavior: The server adjusts the content of the feedback based on the results of the emotion engine, and in some cases changes the difficulty of the learning roadmap.

[1913] Data processing and calculation: The server determines the next feedback content and sends it to the user.

[1914] Output: Adjusted feedback message (displayed from server to user's dashboard)

[1915] By executing the above steps in succession, effective learning support according to the user's emotional state is realized.

[1916] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1917] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1918] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1919] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1920] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1921] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1922] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1923] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1924] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1925] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1926] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1927] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1928] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1929] 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.

[1930] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1931] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1932] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1933] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1934] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1935] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1936] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1937] The following is further disclosed regarding the above embodiment.

[1938] (Claim 1)

[1939] a means for a user to set and input their future goals;

[1940] A means for automatically generating learning content and a learning roadmap based on the set goals;

[1941] A means for inputting and recording the user's learning progress;

[1942] a means for managing the recorded progress and providing feedback to the user;

[1943] A system including:

[1944] (Claim 2)

[1945] 10. The system of claim 1, wherein an online form is used for setting and inputting goals.

[1946] (Claim 3)

[1947] The system of claim 1, wherein the system obtains relevant information from a database or an external API as a means for automatically generating learning content and a learning roadmap.

[1948] (Claim 4)

[1949] 10. The system of claim 1, further comprising means for managing the recorded progress and sending reminders if the user is falling behind.

[1950] (Claim 5)

[1951] 10. The system of claim 1, further comprising a feedback means for providing next study steps and advice based on learning progress.

[1952] "Example 1"

[1953] (Claim 1)

[1954] a means for a user to set and input their future goals;

[1955] A means for automatically generating learning content and a learning roadmap based on the set goals;

[1956] A means for inputting and recording the user's learning progress;

[1957] a means for managing the recorded progress and providing feedback to the user;

[1958] A means for obtaining information related to the goals set by the user using a generative AI model and recommending learning content;

[1959] a means for displaying next learning steps and advice based on the user's progress;

[1960] A system including:

[1961] (Claim 2)

[1962] 10. The system of claim 1, wherein an online form is used for setting and inputting goals.

[1963] (Claim 3)

[1964] The system of claim 1, wherein the system obtains relevant information from a database or an external API as a means for automatically generating learning content and a learning roadmap.

[1965] "Application Example 1"

[1966] (Claim 1)

[1967] a means for a user to set and input their future goals;

[1968] A means for automatically generating learning content and a learning roadmap based on the set goals;

[1969] A means for inputting and recording the user's learning progress;

[1970] a means for managing the recorded progress and providing feedback to the user;

[1971] A means for factories and industrial robots to autonomously set goals for improving work skills and efficiency, and automatically generate learning content to achieve those goals;

[1972] means for recording the robot's work progress and providing feedback based on that progress;

[1973] A system including:

[1974] (Claim 2)

[1975] 10. The system of claim 1, wherein an online form is used for setting and inputting goals.

[1976] (Claim 3)

[1977] The system of claim 1, wherein the system obtains relevant information from a database or an external API as a means for automatically generating learning content and a learning roadmap.

[1978] "Example 2: Combining Emotion Engines"

[1979] (Claim 1)

[1980] a means for a user to set and input their future goals;

[1981] A means for automatically generating learning content and a learning roadmap based on the set goals;

[1982] A means for inputting and recording the user's learning progress;

[1983] a means for managing the recorded progress and providing feedback to the user;

[1984] A means of recognizing user emotions and adjusting learning roadmaps and feedback;

[1985] A system including:

[1986] (Claim 2)

[1987] 10. The system of claim 1, wherein an online form is used for setting and inputting goals.

[1988] (Claim 3)

[1989] The system of claim 1, wherein the system obtains relevant information from a database or an external API as a means for automatically generating learning content and a learning roadmap.

[1990] "Application example 2 when combining emotion engines"

[1991] (Claim 1)

[1992] a means for a user to set and input their future goals;

[1993] A means for automatically generating learning content and a learning roadmap based on the set goals;

[1994] A means for inputting and recording the user's learning progress;

[1995] a means for managing the recorded progress and providing feedback to the user;

[1996] means for recognizing a user's emotion and providing feedback according to the emotion;

[1997] A system including:

[1998] (Claim 2)

[1999] 10. The system of claim 1, wherein an online form is used for setting and inputting goals.

[2000] (Claim 3)

[2001] The system of claim 1, wherein the system obtains relevant information from a database or an external API as a means for automatically generating learning content and a learning roadmap. [Explanation of symbols]

[2002] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for a user to set and input their future goals; A means for automatically generating learning content and a learning roadmap based on the set goals; A means for inputting and recording the user's learning progress; a means for managing the recorded progress and providing feedback to the user; A system including:

2. 10. The system of claim 1, wherein an online form is used to set and input goals.

3. The system according to claim 1, wherein the means for automatically generating the learning content and learning roadmap is to obtain related information from a database or an external API.

4. 10. The system of claim 1, further comprising means for managing the recorded progress and sending reminders if the user is falling behind.

5. 2. The system according to claim 1, further comprising a feedback means for providing next study steps or advice based on the learning progress.

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