System

Abstract

To provide a system capable of suppressing an increase in a health risk due to physical fatigue.SOLUTION: A system for encouraging a user to take an appropriate rest during learning by the user includes means of: measuring an elapsed time in the learning; displaying a pop-up screen including a proposal such as a proposal of exercise when the elapsed time exceeds a predetermined threshold; natural language processing for having a dialog with the user; and presenting information to the user by using the natural language processing means.SELECTED DRAWING: Figure 1

Description

[Technical field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including a description and related instruction sentence regarding 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] JP 2022-180282 A Summary of the Invention [Problem to be solved by the invention]

[0004] There is an issue that working continuously for long periods of time while studying increases health risks due to eye strain and physical fatigue such as sitting for too long. [Means for solving the problem]

[0005] The present disclosure solves the above problems by providing a system for prompting a user to take appropriate breaks during their studies.

[0006] Specifically, the system includes a means for measuring the elapsed time during learning, a means for displaying a pop-up when the elapsed time exceeds a preset threshold, a means for including exercise suggestions in the pop-up, and a natural language processing means for engaging in dialogue with the user.

[0007] This allows users to take breaks at appropriate times and reduce health risks caused by physical fatigue such as eye strain and sitting too long. In addition, by referring to external information, more specific stretching methods and healthy habits can be suggested.

[0008] The "elapsed time" refers to the time that has elapsed since the user started learning or working. The "threshold" refers to a preset reference value for time, and is a criterion for determining whether the elapsed time has exceeded this threshold. Note that multiple types of thresholds may be provided. The "pop-up" refers to a small window or message displayed on the screen, and is used to display suggestions for exercise methods such as stretching and light exercise to the user. The "stretching" refers to exercise for relaxing body tension by stretching muscles and promoting blood circulation. The "environmental information" refers to information about the environment around the user. For example, it is at least one of the brightness and temperature around the user, the equipment used for learning, and the furniture used by the user. The method of acquiring the environmental information is not limited, and may be, for example, a detector such as a predetermined sensor, or may be input by the user using a natural attrition processing means. The "age information" refers to information about the age of the user. The method of acquiring the age information is not limited, and may be, for example, a form in which the user inputs the age using a natural attrition processing means, or may be determined from the learning content. "Healthy habits" refers to habits such as a balanced diet, moderate exercise, and sufficient sleep that are taken to maintain physical and mental health. "Generative AI" refers to an AI (artificial intelligence) model that uses natural language processing technology to interact with users and is used to provide information to answer users' questions and recommend healthy habits. "External sites" refers to information sources outside the system that the system references to obtain information, such as other websites and databases on the Internet. [Brief description of the drawings]

[0009] [Figure 1]1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Diagram 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. FIG. [Diagram 3] FIG. 11 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Diagram 5] FIG. 13 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. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 13 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] 4 is a sequence diagram showing a process flow of the data processing system according to the first embodiment. FIG. [Figure 12] 11 is a sequence diagram showing a process flow of the data processing system in application example 1. FIG. [Figure 13] FIG. 11 is a sequence diagram showing the flow of processing of the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 11 is a sequence diagram showing the flow of processing in the data processing system in application example 2 when combined with an emotion engine. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0011] First, the terms used in the following description will be explained.

[0012] In the following embodiments, a signed processor (hereinafter simply referred to as a "processor") may be one arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be one 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), an APU (Accelerated Processing Unit), etc.

[0013] In the following embodiments, a signed RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by the processor.

[0014] 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.

[0015] In the following embodiments, a communication I / F (Interface) with a code is an interface including a communication processor and an antenna. The communication I / F controls communication between multiple computers. An example of a communication standard applied to the communication I / F is a wireless communication standard including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0016] 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. In addition, in this specification, the same idea as "A and / or B" is also applied when three or more things are expressed by connecting them with "and / or."

[0017] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0018] 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.

[0019] 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 wide area network (WAN) and / or a local area network (LAN).

[0020] 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.

[0021] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (e.g., a pen or a finger) to receive user input by the touch of the pointer. 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.

[0022] 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 (e.g., voice and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs voice according to instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a Complementary Metal-Oxide-Semiconductor (CMOS) image sensor or a Charge Coupled Device (CCD) image sensor.

[0023] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54.

[0024] FIG. 2 shows an example of main functions of the data processing device 12 and the smart device 14.

[0025] As shown in Fig. 2, 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. The specific process program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific process program 56 from the storage 32, and executes the read specific process 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 process program 56 executed on the RAM 30.

[0026] 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.

[0027] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores a reception output program 60. The reception output program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads out the reception output program 60 from the storage 50, and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0028] 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 a "server" and the smart device 14 will be referred to as a "terminal."

[0029] An embodiment for implementing the disclosed technology includes the following elements.

[0030] 1. Server: Has a function for measuring elapsed time. Has a function for measuring the elapsed time from the start of the user's learning and comparing it with a threshold to determine whether it has exceeded the threshold.

[0031] 2. Terminal: Has a function for receiving and displaying the popup sent from the server. The user can receive the popup and take an appropriate break according to the displayed suggestions for stretching or light exercise.

[0032] 3. Generative AI: It has a natural language processing function to communicate with the user, and has the function of answering questions about the user's eyestrain or physical fatigue such as sitting too long, and providing information to recommend healthy habits.

[0033] 4. External sites: These are various sites outside the system that the generative AI refers to when answering the user's questions. The server suggests specific stretching methods and healthy habits to the user based on the information obtained from the external sites.

[0034] The system disclosed herein can be realized by combining the above elements. The server measures the elapsed time, and if the threshold is exceeded, it sends a pop-up to the terminal. The user receives the pop-up and answers questions about physical fatigue such as eye fatigue and sitting too long through dialogue with the generative AI, and is recommended healthy habits. In addition, the server can suggest more specific stretching methods and healthy habits by referring to external sites.

[0035] According to this form, the system of the present disclosure can be implemented by combining a server, a terminal, a generative AI, and an external site.

[0036] The process flow will be explained below.

[0037] Step 1: The server starts timing. -The server measures the elapsed time from the time the user started learning.

[0038] Step 2: Determine if the server has exceeded the threshold. The server determines whether the measured elapsed time exceeds a preset threshold.

[0039] Step 3: The server generates the popup and sends it to the device. -If the elapsed time exceeds the threshold, the server generates a popup. -The pop-up includes suggestions for stretching and gentle exercise. -The server sends the generated popup to the device.

[0040] Step 4: The device receives and displays the popup. -The device receives the popup sent from the server. -Display the received popup on the device screen.

[0041] Step 5: User sees the popup and selects the appropriate action. -The user confirms the popup displayed on the device. -The pop-up includes suggestions for stretching and light exercise so the user can choose the appropriate action. For example, if the user selects to stretch, the user performs the stretching according to the specific stretching method displayed in the pop-up.

[0042] Step 6: The user initiates a dialogue with the generative AI. -After receiving the pop-up, the user begins interacting with the generative AI on their device. -Users ask questions about eye fatigue and sitting too long to the generative AI.

[0043] Step 7: The generative AI answers the user's question. -Generative AI generates appropriate answers to user questions. -The generative AI refers to external sites to obtain information and provides answers to user questions.

[0044] Step 8: Generative AI recommends healthy habits. -The generative AI takes into account the user’s surroundings, questions, answers, age, etc. to recommend healthy habits. -The generative AI will provide specific advice and suggestions by referring to predefined health-related databases and external websites.

[0045] The above are the processing steps of the server, terminal, user, and generative AI, and their respective specific operations.

[0046] Example 1 Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the smart device 14 is referred to as a "terminal."

[0047] Accumulation of physical fatigue and stress caused by long periods of continuous study or work can have a negative impact on health. In particular, eye fatigue and back pain caused by sitting too long are major factors that reduce a user's concentration and productivity. However, it is difficult for users to take breaks at appropriate times by their own judgment, and they do not have the knowledge of specific health measures. Therefore, there is a demand for a system that supports users' study and work and suggests appropriate break times and specific healthy actions.

[0048] 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.

[0049] In this invention, the server includes a means for measuring the elapsed time of the user's learning, a means for displaying a pop-up when the elapsed time exceeds a preset threshold, a means for including a suggestion of simple exercise in the pop-up, a natural language processing means for engaging in a dialogue with the user, a means for answering questions of the user using the natural language processing means, and a means for suggesting healthy habits using the natural language processing means. As a result, the user is suggested to take a break at an appropriate time, and specific stretching methods and healthy habits are suggested by the generative AI model, so that the user can continue learning or working efficiently and healthily.

[0050] A "user" is a person who uses this system to study or work.

[0051] "Learning" refers to ongoing activities or intellectual tasks that allow users to increase their knowledge and skills.

[0052] The "server" is the central computer device of this system, and is responsible for measuring the user's study time and managing necessary notifications and information.

[0053] "Elapsed time" refers to the time from when the user started studying to the present.

[0054] A "threshold" is a reference elapsed time value set by the server, and when this value is exceeded, a specific action is executed.

[0055] A "pop-up" is a message window that suddenly appears on the screen, providing information to the user encouraging them to take a break or exercise.

[0056] "Exercise suggestions" refers to suggestions to encourage the user to take physical actions such as stretching or light exercise.

[0057] "Natural language processing means" refers to technology and software that enables computers to understand and generate human language.

[0058] An "external website" is an internet information source that exists outside of this system and is a site used to obtain data such as health information and stretching techniques.

[0059] "Healthy Habits" refers to daily behaviors and activities that are recommended to promote a user's physical and mental health.

[0060] A "generative AI model" is an artificial intelligence technology used to support dialogue with users and generate appropriate responses and suggestions.

[0061] The system is designed to help users take appropriate breaks during long periods of study or work. Specifically, it works by combining a server, a terminal, a generative AI model, and an external website.

[0062] The server is responsible for recording the time when the user started learning and measuring the elapsed time. The software used by the server is the Python (registered trademark) datetime library. The server checks the elapsed time of the user's learning at regular intervals, and if the elapsed time exceeds a set threshold, it sends a pop-up to the terminal. JavaScript (registered trademark) and WebSocket technology are used for this transmission.

[0063] The terminal receives the pop-up notification from the server and displays it to the user. The hardware that executes this includes PCs and smartphones, and the software uses a web browser (e.g., GOOGLE CHROME (registered trademark)). The pop-up notification includes a message encouraging the user to take a break and a suggestion for simple exercise.

[0064] When the user confirms the pop-up notification and accepts the break suggestion, a dialogue with the generative AI model begins. The generative AI model has natural language processing capabilities and answers questions about the user's physical fatigue and health. The generative AI model runs on Python and JavaScript.

[0065] The server retrieves health information from external websites as needed and provides it to the generative AI model. This data retrieval uses the requests library to send HTTP requests, allowing the generative AI model to suggest more specific stretching methods and healthy habits to the user.

[0066] As a concrete example, consider a case where a user has been working on a computer for more than an hour continuously. The server measures the elapsed time, and when that time exceeds a threshold (for example, one hour), a pop-up appears on the device saying, "It's time to take a break. Why not try some simple stretches?" When the user clicks on this pop-up, the generative AI model asks, "What kind of stretches would you like to do? Also, are you concerned about anything, such as eye fatigue or back pain from sitting too long?" If the user answers, "eye fatigue," the generative AI model suggests a stretching method called "palm eye," and provides detailed instructions.

[0067] Example prompt: "The user is experiencing eye strain. Can you suggest specific stretches to relieve eye strain? Also, provide a routine that will be effective."

[0068] The system allows users to take breaks at appropriate times and receive specific health advice, enabling them to continue studying or working efficiently and in a healthy manner.

[0069] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0070] Program processing steps

[0071] Step 1: The server records the time when the user starts learning. Input: Trigger for start learning operation, user ID How it works: The server uses the datetime library to get the current time and records it in a database (e.g. MySQL) along with the user ID. Output: The learning start time is recorded in the database. Specific operation: Executes datetime.now() to obtain the current time, and saves "The learning start time for user ID: 1234 is 2023-10-10 09:00:00."

[0072] Step 2: The server periodically checks whether a certain amount of time has passed. Input: Learning start time from database, current time How it works: Every 5 minutes the server calculates the difference between the start time and the current time and compares it to a threshold. This periodic check is performed by a cron job like time.sleep(300). Output: Result of judgment whether the elapsed time exceeds the threshold. Specific operation: Compare datetime.now() with the start time obtained from the database and determine that "the elapsed learning time for user ID: 1234 exceeds 1 hour."

[0073] Step 3: If the server exceeds the threshold, a pop-up notification is sent to the device. Input: The result that the elapsed time exceeded the threshold. Behavior: When a threshold is exceeded, the server generates a notification message using JavaScript or WebSocket and sends it to the device. Output: Send a popup notification message Specific operation: The server executes "Send a popup message to user ID: 1234" and sends a message to the terminal saying "It's time to take a break. Why not try doing some simple stretches?"

[0074] Step 4: The device displays a pop-up notification to the user. Input: Popup notification message from the server How it works: The device uses JavaScript to display the received message as a popup in the web browser. Output: The user sees a popup. Specific operation: The message received by the terminal from the server is displayed in a pop-up window in the browser.

[0075] Step 5: The user confirms the popup and begins interacting with the generative AI model. Input: Confirmation of popup notification, user response How it works: The user clicks on the popup to begin interacting with the generative AI model, which then begins natural language processing. Output: An interactive session with a generative AI model Specific behavior: The user clicks the “Accept break suggestion” button, and the generative AI model asks, “What kind of stretching would you like to do?”

[0076] Step 6: A generative AI model suggests appropriate stretches and healthy habits. Input: Questions and status from the user How it works: The generative AI model analyzes the user's responses and suggests specific stretches and health habits depending on the condition, such as eye fatigue or sitting too long. Natural language processing technology is used for this analysis and response generation. Output: Specific stretching methods and health habits suggestions How it works: When a user types, "I feel tired eyes," the generative AI model suggests a stretching method called "palm eye."

[0077] Step 7: The server retrieves the necessary information from external websites and provides it to the generative AI model. Input: User question, request for required information How it works: The server sends HTTP requests to retrieve data from external health information sites, then provides the retrieved information to the generative AI model. Output: Data obtained from outside What it does: It uses the requests library to search for "how to relieve eye strain" and gets information from trusted sites.

[0078] Step 8: The generative AI model displays suggestions to the user. Input: External information from the server, analysis results of the generative AI model How it works: The generative AI model uses the information it acquires to generate suggestions and displays them to the user. These are displayed in JavaScript and HTML. Output: Show suggestions Specific operation: The generative AI model will suggest detailed steps such as "Here's how to stretch your palm eye," and display them in a pop-up or new window.

[0079] This series of steps allows users to take breaks at the right time and receive specific health advice.

[0080] (Application example 1) 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."

[0081] In a working environment that includes humans and robots, continuous work for long periods of time can lead to reduced efficiency and health problems. In particular, robots in factories tend to operate continuously, leading to a lack of maintenance and a higher risk of breakdowns and reduced productivity. There is a need to solve this problem and provide an efficient and healthy working environment.

[0082] 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.

[0083] In this invention, the server includes a means for encouraging a user to take an appropriate break during a task, a means for measuring an elapsed time during the task, a means for displaying a pop-up when the elapsed time exceeds a preset threshold, a means for including a suggestion for stretching or resting in the pop-up, a natural language processing means for dialogue with the user, and a means for encouraging a robot to perform regular maintenance or refreshment using the pop-up as maintenance support for the robot in an industrial environment. This allows workers and robots to take breaks or perform maintenance at appropriate times, achieving both work efficiency and health management.

[0084] "User" refers to a human who operates the system or a robot that performs an action.

[0085] "Work" refers to a series of activities or operations performed by a user, especially operations including production and maintenance in a factory.

[0086] A "break" is a temporary interruption in continuous work, intended to reduce fatigue and improve work efficiency.

[0087] A "threshold" is a reference time for determining a particular condition, and when this time is exceeded, a particular action (for example, displaying a pop-up) is executed.

[0088] A "pop-up" is a notification or message that suddenly appears on the screen, prompting the user to provide specific information or take a specific action.

[0089] "Stretching" refers to exercises that involve stretching the body, particularly those aimed at relieving physical fatigue caused by working in the same position for long periods of time.

[0090] A "break" refers to a temporary interruption in work to refresh oneself, which is necessary in order to maintain work efficiency and recover from fatigue.

[0091] "Natural language processing" refers to the technology for understanding and generating human language, and to the means for conducting dialogue with users.

[0092] "Maintenance" refers to the work of inspecting and repairing robots and machines to ensure they function properly.

[0093] "Environmental information" refers to data about the surrounding situation and conditions in which a user or robot is working.

[0094] "Operating time information" refers to data regarding the amount of time a robot or machine is operating continuously.

[0095] This invention provides a system that measures a specific elapsed time and prompts users to take a break or perform maintenance at an appropriate time in order to balance the user's work efficiency and health management. The purpose of this system is to allow users to take appropriate breaks while working. It also includes a function to monitor the operating status of robots in factories and prompt them to perform regular maintenance.

[0096] The entire system is realized by the following hardware and software configuration:

[0097] Server: Measures the elapsed time and displays a popup if the threshold is exceeded. Uses a time measurement server implemented in Python.

[0098] Terminal: Receives pop-up notifications from the server and displays them to the user. Displays and monitors in the factory are used.

[0099] Generative AI: Realize natural language dialogue with users. For example, use generative AI models such as OpenAI (registered trademark) ChatGPT (registered trademark).

[0100] External sites: Refer to specific health information and databases to provide more detailed stretching techniques and healthy habits.

[0101] The server measures the time that has elapsed since the user or robot started working. When the elapsed time exceeds a preset threshold, the server sends a pop-up message to the terminal. The terminal displays this pop-up on the user's display, encouraging the user to take a break or perform maintenance at an appropriate time.

[0102] In addition, the generative AI uses natural language processing to answer questions from users about their health and work, allowing them to receive advice on specific stretching techniques and how to maintain work efficiency.

[0103] As a concrete example, after the robot has worked for two hours, a pop-up appears, urging it to "It's time to stretch!" If the user asks, "I've been feeling tired lately. What should I do?", the generative AI responds, "When stretching, I recommend that you first rotate your shoulders. It is also important to take a break from your eyes."

[0104] Example prompts for generative AI models: User: I've been feeling really tired lately, what should I do? Assistant: When stretching, I recommend doing shoulder rotations first. Also, it's important to take eye breaks.

[0105] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0106] Step 1: The server receives input that records when a user or robot begins a task and starts a timer. The input data includes the timing of the task start and the identity of the user or robot. The timer measures the elapsed time and generates an output that is updated at regular intervals.

[0107] Step 2: The server checks the elapsed time based on a configured threshold (e.g. 2 hours). Inputs include the current elapsed time and the configured threshold. If the time exceeds the threshold, the server generates an output that generates a message to display in a popup.

[0108] Step 3: The terminal receives the popup message sent from the server and displays it to the user. The input includes the message data received from the server. Based on this data, the terminal outputs a message such as "It's time to stretch!" on the user's display.

[0109] Step 4: The user responds to the displayed popup by asking a natural language question, such as "I've been feeling tired lately. What should I do?". The input includes the user's voice or text question. The output is the data generated for this question.

[0110] Step 5: The server sends the user's question to the generative AI, which analyzes the received question data (input) and generates an appropriate answer. The output includes advice in generated natural language.

[0111] Step 6: Based on the user's question, the generative AI refers to external sites and internal databases to collect detailed information. This input includes the question content and the identification information of the database to be referenced. The generative AI processes this data to obtain an output that generates more specific advice.

[0112] Step 7: The server sends the generated advice to the device, which includes as input the advice data received from the generative AI. The device displays this data to the user and generates an output that provides appropriate stretching techniques and health care advice.

[0113] Specifically, when a user asks, "I've been feeling tired lately. What should I do?", the generative AI refers to the database and offers advice such as, "I recommend doing shoulder rotation exercises. It's also important to take eye breaks." This advice is displayed to the user via the device.

[0114] Example prompts for generative AI models: User: I've been feeling really tired lately, what should I do? Assistant: When stretching, I recommend doing shoulder rotations first. It's also important to take eye breaks.

[0115] Furthermore, an emotion engine that estimates the emotion of the user may be combined. That is, the identification processing unit 290 may estimate the emotion of the user using the emotion identification model 59, and perform identification processing using the emotion of the user.

[0116] An embodiment for implementing the technology of the present disclosure includes the following elements.

[0117] 1. Server: A server with an emotion engine built in. The server has the function of recognizing the user's emotions and estimating the user's emotional state.

[0118] 2. Terminal: Has a function for receiving and displaying the popup sent from the server. The terminal has a function for customizing the contents of the popup and the types of stretching or light exercise suggested based on the emotional state of the user.

[0119] 3. Generative AI: It has a natural language processing function to communicate with the user. The generative AI in chat takes into account the user's emotional information obtained from the emotion engine and suggests appropriate advice and relaxation methods.

[0120] 4. External sites: These are various sites outside the system that the generative AI refers to when answering the user's questions. The server provides multimedia content such as music and video that matches the user's emotional state based on the information obtained from the external sites.

[0121] The system disclosed herein can be realized by combining the above elements. The server uses an emotion engine to recognize the user's emotions and estimate the emotional state. The terminal receives the pop-up sent from the server and displays customized information based on the user's emotional state. The generative AI suggests advice and relaxation methods tailored to the user's emotions through dialogue with the user, and provides multimedia content by utilizing information obtained from external sites.

[0122] According to this form, the system of the present disclosure can be implemented by combining a server, a terminal, a generative AI, and an external site.

[0123] The process flow will be explained below.

[0124] Step 1: The server recognizes the user's emotion. -The server analyzes the user's facial expressions and voice characteristics and uses an emotion engine to estimate the user's emotional state.

[0125] Step 2: The server generates the popup based on the sentiment. -The server generates popups to provide appropriate advice and relaxation methods based on the user's emotional state. For example, if the user is feeling stressed, the system will suggest ways to relax and relieve stress.

[0126] Step 3: The server generates a popup and sends it to the device. -The server sends the generated popup to the device. -The pop-up contains advice tailored to your emotions and ways to relax.

[0127] Step 4: The device receives and displays the popup. -The device receives the popup sent from the server. -Display the received popup on the device screen.

[0128] Step 5: User sees the popup and selects the appropriate action. -The user confirms the popup displayed on the device. -The pop-up displays advice and relaxation methods tailored to the user's emotions, allowing the user to choose the appropriate action. For example, if the user selects a relaxation method, the user relaxes according to the specific method displayed in the pop-up.

[0129] Step 6: The user initiates a dialogue with the generative AI. -After receiving the pop-up, the user begins interacting with the generative AI on their device. -Users ask emotion-related questions or concerns to the generative AI.

[0130] Step 7: The generative AI answers the user's question. -Generative AI generates appropriate answers to user questions. -The generative AI takes into account the user's emotional information obtained from the emotion engine and suggests appropriate advice and relaxation methods.

[0131] Step 8: The generative AI serves up multimedia content from external sites. -Generative AI uses information obtained from external sites to provide multimedia content such as music and video that matches the user's emotional state. For example, if a user needs to relax, the app will suggest relaxing music or videos.

[0132] The above are the processing steps of the server, terminal, user, and generative AI, and their respective specific operations.

[0133] Example 2 Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the smart device 14 is referred to as a "terminal."

[0134] In conventional user support systems, it is difficult to provide appropriate advice and relaxation methods that respond quickly to changes in emotions. In addition, there is a lack of content customized based on the user's emotional state and surrounding environment, which makes it difficult to achieve user satisfaction and effective stress reduction.

[0135] 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.

[0136] In this invention, the server includes a means for recognizing and estimating the user's emotional state, a means for generating and displaying a pop-up message based on the emotional state, a natural language processing means for interacting with the user, and a means for providing multimedia content that matches the user's emotional state based on data obtained from an external information source. This makes it possible to provide advice and relaxation methods that are in line with the user's emotions, and furthermore, by providing customized content based on the user's emotional state, it is possible to reduce the user's stress and increase their satisfaction.

[0137] "Means for recognizing and estimating emotional states" refers to technology that analyzes data such as the user's facial expressions and voice to identify and determine the emotions they are feeling at the time.

[0138] The "means for generating and displaying a pop-up message" is a function for automatically creating an appropriate message based on the user's emotional state and displaying it on the user's terminal.

[0139] "Natural language processing means" refers to technology for understanding inputs and questions from a user and generating appropriate responses in order to engage in dialogue with the user.

[0140] The "means for suggesting advice and relaxation methods according to the emotional state" is a function that analyzes the user's current emotional state and automatically provides appropriate advice and relaxation methods based on that state.

[0141] "Means for providing multimedia content tailored to the user's emotional state, based on data obtained from external information sources" refers to a function that utilizes information obtained from external databases and information sites to provide music, videos, and other content that is optimal for the user's emotional state.

[0142] The "database for recommending healthy habits" is a database that accumulates information that is useful for users to maintain their health and reduce stress.

[0143] The "means for acquiring surrounding environmental information" refers to technology for collecting environmental data such as temperature, humidity, and noise around the user.

[0144] The "means for acquiring user age information" refers to technology for collecting data regarding the user's age.

[0145] The "means for acquiring information regarding the user's emotional state and providing a response based on that information" refers to technology that measures the user's emotional state and provides appropriate advice or responses based on that information.

[0146] As an embodiment of the present invention, a system that recognizes the emotional state of a user and provides appropriate advice and relaxation methods based on the state will be described. The system is composed of a server, a terminal, a generative AI model, and an external information source.

[0147] server The server is equipped with an emotion engine and performs the main processing to recognize and estimate the user's emotional state. The server analyzes the data sent from the device and uses "OpenCV (registered trademark)" as a facial recognition technology and "Google (registered trademark) Cloud Speech-to-Text" as a voice analysis technology to identify the user's emotion.

[0148] Terminal The terminal is responsible for collecting input data from the user and sending it to the server. Examples of such devices include PCs, smartphones, and tablets. The terminal is equipped with a camera and microphone, and collects the user's face and voice in real time. It also has a function to display pop-up messages sent from the server.

[0149] Generative AI Models The generative AI model will engage in natural language dialogue with the user and suggest appropriate advice and relaxation methods based on the acquired emotional state, using natural language processing technologies such as "ChatGPT" and "DialogFlow" for this purpose.

[0150] external information sources The server retrieves multimedia content from external sources (databases and sites) and serves it according to the user's emotional state, for example, it can retrieve relaxing music from a music streaming site or meditation videos from a video platform.

[0151] Examples

[0152] emotion recognition When a user shows a facial expression in front of the device's camera, the device sends the image to the server, which uses OpenCV to analyze the user's facial expression and identify emotions such as "happiness," "sadness," and "anger."

[0153] Generate a popup message If the server estimates the user's emotional state as "tired," it generates a message saying "Take a 5-minute break and refresh yourself!" and sends it to the terminal. The terminal displays this message to the user.

[0154] Start a conversation When a user types "How can I relax?" into their device, the generative AI model suggests, "Why not try taking a deep breath today? Play some relaxing music?"

[0155] Acquiring external information If the user answers "yes," the server retrieves relaxing music from a music streaming site and sends the URL to the device, where the music is played and enjoyed by the user.

[0156] Examples of prompt statements

[0157] Here are some example prompts to feed to a generative AI model: User: I'm feeling really tired right now. Generative AI: That's tough. Try taking a five-minute break and doing some deep breathing and gentle stretching. Would you like to play some relaxing music? User: I'm really stressed out today. Generative AI: When you're stressed, take care of yourself. A good way to relax is to take a walk or meditate. Would you like to play a relaxing video?

[0158] In this way, the system can provide customized advice and content based on the user's emotional state.

[0159] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0160] Step 1: A user accesses a terminal. Specific operation: A user launches an application on the system using a smartphone or tablet. Input: User action (launch of application). Output: The camera and microphone are ready to be activated when the application is launched.

[0161] Step 2: The device collects the user's face and voice. How it works: The device's camera captures the user's face and the microphone records the user's voice. The collected data is sent to the server in real time. Input: User's facial video and audio data. Output: Transmission of video and audio data from the device to the server.

[0162] Step 3: The server recognizes and estimates the user's emotional state. Specific operation: The server analyzes the received facial image using "OpenCV" and the voice data using "Google Cloud Speech-to-Text", thereby estimating the user's emotional state (e.g., happiness, sadness, anger). Input: Facial image and audio data sent from the device. Output: User's emotional state data (e.g. "tired", "stressed").

[0163] Step 4: The server generates a popup message based on the emotional state. Specific behavior: The server generates an appropriate popup message based on the result of the emotion engine, for example, "Take a 5-minute break and refresh yourself!" Input: User emotional state data. Output: The generated popup message.

[0164] Step 5: The server sends a popup message to the terminal, which displays it. Specific operation: The server generates a message and sends it to the terminal, which displays it to the user as a popup. Input: Popup message. Output: A popup message that appears on the terminal.

[0165] Step 6: The generative AI model interacts with the user. How it works: When a user responds to a pop-up message, the generative AI model analyzes the response and takes appropriate action, such as providing tips on how to relax or advice. Input: The user's response. Output: The response message from the generative AI model.

[0166] Step 7: A server obtains multimedia content from an external information source and provides it to a terminal. How it works: The server retrieves content from external music streaming sites or video platforms and sends the URL or file to the device, which then plays it. Input: A request for multimedia content from an external source. Output: Multimedia content sent to a terminal and its playback.

[0167] Through these steps, the system can provide customized advice and relaxation methods based on the user's emotional state. While keeping the tone simple, we have explained in detail the specific actions taken at each step and the data input and output.

[0168] (Application example 2) 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."

[0169] Conventional learning support systems have a function that prompts users to take a break with a pop-up after a certain amount of time has passed in order to improve their learning efficiency, but because they do not take into account the user's emotional state, they have the problem of not being able to provide appropriate advice or content tailored to each user's individual situation. In addition, information or suggestions that are useful to a particular user may be counterproductive to other users, so more personalized support is required.

[0170] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for recognizing the user's emotion and estimating the emotional state, a means for displaying information customized based on the emotional state, and a natural language processing means for interacting with the user. This makes it possible to provide appropriate advice and relaxation methods according to the user's emotional state. In addition, multimedia content tailored to the emotional state can be provided based on information obtained from an external site, realizing more personalized support.

[0171] "Means for recognizing a user's emotions and estimating an emotional state" refers to technology that uses sensors and algorithms to detect the user's emotions and determine the user's current emotional state.

[0172] The "means for displaying information customized based on an emotional state" is a technology that automatically generates content that matches the emotional state of a user and displays it on the user's terminal.

[0173] The "natural language processing means for interacting with a user" refers to a natural language processing technology for understanding text or voice input by a user and generating an appropriate response.

[0174] "Means for providing multimedia content tailored to the user's emotional state, based on information obtained from external sites" refers to a technology that uses data obtained from external information sources on the Internet to generate and provide content such as music and video that corresponds to the user's emotions.

[0175] A "generative AI model" is a technology that uses a trained artificial intelligence model to generate dialogue and content that is appropriate to the user's emotions.

[0176] A "prompt sentence" is an input sentence given to a generative AI model, based on which an appropriate response or content is generated.

[0177] As an embodiment of the present invention, the system can be configured as follows.

[0178] The server is the main unit with an emotion engine that recognizes the user's emotions and estimates the user's emotional state. This server acquires the user's facial expressions and voice data using sensors such as cameras and microphones, and analyzes the user's emotions using the EmotionRecognition library. Based on the user's emotional information, the server also generates optimal multimedia content using the ContentRecommendation engine.

[0179] The terminal is a user interface device such as a smartphone. The terminal displays pop-ups sent from the server and provides the user with exercise suggestions and customized information based on the user's emotional state. For example, if the user is feeling stressed, the terminal displays music and images to help the user relax.

[0180] Generative AI models are used to engage in dialogue with users by utilizing natural language processing techniques. For example, models such as ChatGPT are used to generate relaxation methods and advice based on the user's emotional state. This AI model analyzes text and voice data entered by the user and generates appropriate responses. This allows users to have a pleasant experience through dialogue.

[0181] As a concrete example, if the emotion engine recognizes that the user is feeling stressed, it inputs the following prompt sentence into the generative AI model.

[0182] "You seem to be a bit stressed today. Let's take a deep breath together, and then I'll play some relaxing music. I hope it helps you feel a little refreshed."

[0183] Based on this prompt, the generative AI model suggests appropriate relaxation methods and music to the user.

[0184] The overall flow of the system is that the user uses the device, emotion recognition is performed, and the server provides appropriate content and dialogue based on the emotional state. In this process, generative AI models and information obtained from external sites are utilized to always provide the user with the optimal experience.

[0185] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0186] Step 1: The server captures facial expression and voice data through a camera and microphone to recognize the user's emotional state. The input data are the user's facial expression images and voice data. This data is analyzed using the EmotionRecognition library to estimate the user's emotional state (e.g., stress, anxiety, happiness, etc.). The output is the user's current emotional state.

[0187] Step 2: The server generates customized information based on the user's emotional state. The input is the emotional state estimated in step 1. This information includes relaxation methods and suitable activity suggestions. To generate this information, we use a ContentRecommendation engine. The output is specific relaxation methods and exercise suggestions tailored to the user's emotional state.

[0188] Step 3: The server sends customized information to the terminal based on the emotional state. The input is the customized information generated in step 2. The terminal receives this information and displays it to the user as a popup. The output is a popup message displayed on the terminal screen.

[0189] Step 4: The user practices relaxation techniques or exercises based on the suggestions displayed in the pop-up. During this time, the device observes the user's reactions and next actions. The input is the user's actions and reactions to the pop-up messages. The output is the data recorded based on the actions or the trigger for the next action.

[0190] Step 5: The server uses a generative AI model to perform natural language processing to interact with the user. The input is a question or comment from the user. Based on this input, the generative AI model generates an appropriate response, providing relaxation techniques and advice. The output is a response message generated in natural language.

[0191] Step 6: The server uses information obtained from external sites to provide multimedia content tailored to the emotional state. The input is the user's emotional state and a request based on it. Based on this request, the server retrieves relevant music and video from external sites. The output is customized multimedia content provided to the user.

[0192] Step 7: The terminal plays the multimedia content sent from the server and provides it to the user. The input is the multimedia content from the server. The terminal plays this content and provides the user with visual and auditory relaxation effects. The output is the multimedia content that the user watches or listens to.

[0193] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice 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 voice data.

[0194] 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<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 making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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.

[0195] In the above embodiment, an example was given in which the specific process was performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0196] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0197] 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.

[0198] 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 wide area network (WAN) and / or a local area network (LAN).

[0199] 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.

[0200] 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 the voice according to instructions from the processor 46.

[0201] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0202] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0203] Fig. 4 shows an example of 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.

[0204] 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.

[0205] 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.

[0206] 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.

[0207] 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 a "server" and the smart glasses 214 will be referred to as a "terminal".

[0208] An embodiment for implementing the technology of the present disclosure includes the following elements.

[0209] 1. Server: Has a function for measuring elapsed time. Has a function for measuring the elapsed time from the start of the user's learning and comparing it with a threshold value to determine whether it has exceeded the threshold.

[0210] 2. Terminal: Has a function for receiving and displaying the popup sent from the server. The user can receive the popup and take an appropriate break according to the displayed suggestions for stretching or light exercise.

[0211] 3. Generative AI: It has a natural language processing function to communicate with users, and has the ability to answer questions about the user's eyestrain and sitting too long, and provide information to recommend healthy habits.

[0212] 4. External sites: These are various sites outside the system that the generative AI refers to when answering the user's questions. The server suggests specific stretching methods and healthy habits to the user based on the information obtained from the external sites.

[0213] The system disclosed herein can be realized by combining the above elements. The server measures the elapsed time, and if the time exceeds a threshold, it sends a pop-up to the terminal. The user receives the pop-up and answers questions about physical fatigue such as eye fatigue and sitting too long through dialogue with the generative AI, and is recommended healthy habits. In addition, by referring to external sites, more specific stretching methods and healthy habits can be suggested.

[0214] According to this form, the system of the present disclosure can be implemented by combining a server, a terminal, a generative AI, and an external site.

[0215] The process flow will be explained below.

[0216] Step 1: The server starts timing. -The server measures the elapsed time from the time the user started learning.

[0217] Step 2: Determine if the server has exceeded the threshold. The server determines whether the measured elapsed time exceeds a preset threshold.

[0218] Step 3: The server generates the popup and sends it to the device. -If the elapsed time exceeds the threshold, the server generates a popup. -The pop-up includes suggestions for stretching and gentle exercise. -The server sends the generated popup to the device.

[0219] Step 4: The device receives and displays the popup. -The device receives the popup sent from the server. -Display the received popup on the device screen.

[0220] Step 5: User sees the popup and selects the appropriate action. -The user confirms the popup displayed on the device. -The pop-up includes suggestions for stretching and light exercise so the user can choose the appropriate action. For example, if the user selects to stretch, the user performs the stretching according to the specific stretching method displayed in the pop-up.

[0221] Step 6: The user initiates a dialogue with the generative AI. -After receiving the pop-up, the user begins interacting with the generative AI on their device. -Users ask questions about eye fatigue and sitting too long to the generative AI.

[0222] Step 7: The generative AI answers the user's question. -Generative AI generates appropriate answers to user questions. -The generative AI refers to external sites to obtain information and provides answers to user questions.

[0223] Step 8: Generative AI recommends healthy habits. -The generative AI takes into account at least one of the following: the user's surroundings, questions and answers, and age, and recommends healthy habits. -The generative AI will provide specific advice and suggestions by referring to a predefined health database, etc.

[0224] Above are the processing steps and specific operations of the server, terminal, user, and generative AI.

[0225] Example 1 Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the smart glasses 214 are referred to as a "terminal".

[0226] Accumulation of physical fatigue and stress caused by long periods of continuous study or work can have a negative impact on health. In particular, eye fatigue and back pain caused by sitting too long are major factors that reduce a user's concentration and productivity. However, it is difficult for users to take breaks at appropriate times by their own judgment, and they do not have the knowledge of specific health measures. Therefore, there is a demand for a system that supports users' study and work and suggests appropriate break times and specific healthy actions.

[0227] 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.

[0228] In this invention, the server includes a means for measuring the elapsed time of the user's learning, a means for displaying a pop-up when the elapsed time exceeds a preset threshold, a means for including a suggestion of simple exercise in the pop-up, a natural language processing means for engaging in a dialogue with the user, a means for answering questions of the user using the natural language processing means, and a means for suggesting healthy habits using the natural language processing means. As a result, the user is suggested to take a break at an appropriate time, and specific stretching methods and healthy habits are suggested by the generative AI model, so that the user can continue learning or working efficiently and healthily.

[0229] A "user" is a person who uses this system to study or work.

[0230] "Learning" refers to ongoing activities or intellectual tasks that allow users to increase their knowledge and skills.

[0231] The "server" is the central computer device of this system, and is responsible for measuring the user's study time and managing necessary notifications and information.

[0232] "Elapsed time" refers to the time from when the user started studying to the present.

[0233] A "threshold" is a reference elapsed time value set by the server, and when this value is exceeded, a specific action is executed.

[0234] A "pop-up" is a message window that suddenly appears on the screen, providing information to the user encouraging them to take a break or exercise.

[0235] "Exercise suggestions" refers to suggestions to encourage the user to take physical actions such as stretching or light exercise.

[0236] "Natural language processing means" refers to technology and software that enables computers to understand and generate human language.

[0237] An "external website" is an internet information source that exists outside of this system and is a site used to obtain data such as health information and stretching techniques.

[0238] "Healthy Habits" refers to daily actions and activities that are recommended to promote a user's physical and mental health.

[0239] A "generative AI model" is an artificial intelligence technology used to support dialogue with users and generate appropriate responses and suggestions.

[0240] The system is designed to help users take appropriate breaks during long periods of study or work. Specifically, it works by combining a server, a terminal, a generative AI model, and an external website.

[0241] The server is responsible for recording the time when the user started learning and measuring the elapsed time. The software used by the server is the Python datetime library. The server checks the elapsed time of the user's learning at regular intervals, and if the elapsed time exceeds a set threshold, it sends a popup to the terminal. JavaScript and WebSocket technology are used for this transmission.

[0242] The terminal receives the pop-up notification from the server and displays it to the user. The hardware that executes this includes PCs and smartphones, and the software uses a web browser (e.g., Google Chrome). The pop-up notification includes a message encouraging the user to take a break and a suggestion for simple exercise.

[0243] When the user confirms the pop-up notification and accepts the break suggestion, a dialogue with the generative AI model begins. The generative AI model has natural language processing capabilities and answers questions about the user's physical fatigue and health. The generative AI model runs on Python and JavaScript.

[0244] The server retrieves health information from external websites as needed and provides it to the generative AI model. This data retrieval uses the requests library to send HTTP requests, allowing the generative AI model to suggest more specific stretching methods and healthy habits to the user.

[0245] As a concrete example, consider a case where a user has been working on a computer for more than an hour continuously. The server measures the elapsed time, and when that time exceeds a threshold (for example, one hour), a pop-up appears on the device saying, "It's time to take a break. Why not try some simple stretches?" When the user clicks on this pop-up, the generative AI model asks, "What kind of stretches would you like to do? Also, are you concerned about anything, such as eye fatigue or back pain from sitting too long?" If the user answers, "eye fatigue," the generative AI model suggests a stretching method called "palm eye," and provides detailed instructions.

[0246] Example prompt: "The user is experiencing eye strain. Can you suggest specific stretches to relieve eye strain? Also, provide a routine that will be effective."

[0247] The system allows users to take breaks at appropriate times and receive specific health advice, enabling them to continue studying or working efficiently and in a healthy manner.

[0248] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0249] Program processing steps

[0250] Step 1: The server records the time when the user starts learning. Input: Trigger for start learning operation, user ID How it works: The server uses the datetime library to get the current time and records it in a database (e.g. MySQL) along with the user id. Output: The learning start time is recorded in the database. Specific operation: Executes datetime.now() to obtain the current time, and saves "The learning start time for user ID: 1234 is 2023-10-10 09:00:00."

[0251] Step 2: The server periodically checks whether a certain amount of time has passed. Input: Learning start time from database, current time How it works: Every 5 minutes the server calculates the difference between the start time and the current time and compares it to a threshold. This periodic check is performed by a cron job like time.sleep(300). Output: Result of judgment whether the elapsed time exceeds the threshold. Specific operation: Compare datetime.now() with the start time obtained from the database and determine that "the elapsed learning time for user ID: 1234 exceeds 1 hour."

[0252] Step 3: If the server exceeds the threshold, a pop-up notification is sent to the device. Input: The result that the elapsed time exceeded the threshold. Behavior: When a threshold is exceeded, the server generates a notification message using JavaScript or WebSocket and sends it to the device. Output: Send a popup notification message Specific operation: The server executes "Send a popup message to user ID: 1234" and sends a message to the terminal saying "It's time to take a break. Why not try doing some simple stretches?"

[0253] Step 4: The device displays a pop-up notification to the user. Input: Popup notification message from the server How it works: The device uses JavaScript to display the received message as a popup in the web browser. Output: The user sees a popup. Specific operation: The message received by the terminal from the server is displayed in a pop-up window in the browser.

[0254] Step 5: The user confirms the popup and begins interacting with the generative AI model. Input: Confirmation of popup notification, user response How it works: The user clicks on the popup to begin interacting with the generative AI model, which then begins natural language processing. Output: An interactive session with a generative AI model Specific behavior: The user clicks the “Accept break suggestion” button, and the generative AI model asks, “What kind of stretching would you like to do?”

[0255] Step 6: A generative AI model suggests appropriate stretches and healthy habits. Input: Questions and status from the user How it works: The generative AI model analyzes the user's responses and suggests specific stretches and health habits depending on the condition, such as eye fatigue or sitting too long. Natural language processing technology is used for this analysis and response generation. Output: Specific stretching methods and health habits suggestions How it works: When a user types, "I feel tired eyes," the generative AI model suggests a stretching method called "palm eye."

[0256] Step 7: The server retrieves the necessary information from external websites and provides it to the generative AI model. Input: User question, request for required information How it works: The server sends HTTP requests to retrieve data from external health information sites, then provides the retrieved information to the generative AI model. Output: Data obtained from outside What it does: It uses the requests library to search for "how to relieve eye strain" and gets information from trusted sites.

[0257] Step 8: The generative AI model displays suggestions to the user. Input: External information from the server, analysis results of the generative AI model How it works: The generative AI model uses the information it acquires to generate suggestions and displays them to the user. These are displayed in JavaScript and HTML. Output: Show suggestions Specific operation: The generative AI model will suggest detailed steps such as "Here's how to stretch your palm eye," and display them in a pop-up or new window.

[0258] This series of steps allows users to take breaks at the right time and receive specific health advice.

[0259] (Application example 1) 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".

[0260] In a working environment that includes humans and robots, continuous work for long periods of time can lead to reduced efficiency and health problems. In particular, robots in factories tend to operate continuously, leading to a lack of maintenance and a higher risk of breakdowns and reduced productivity. There is a need to solve this problem and provide an efficient and healthy working environment.

[0261] 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.

[0262] In this invention, the server includes a means for encouraging a user to take an appropriate break during a task, a means for measuring an elapsed time during the task, a means for displaying a pop-up when the elapsed time exceeds a preset threshold, a means for including a suggestion for stretching or resting in the pop-up, a natural language processing means for dialogue with the user, and a means for encouraging a robot to perform regular maintenance or refreshment using the pop-up as maintenance support for the robot in an industrial environment. This allows workers and robots to take breaks or perform maintenance at appropriate times, achieving both work efficiency and health management.

[0263] "User" refers to a human who operates the system or a robot that performs an action.

[0264] "Work" refers to a series of activities or operations performed by a user, especially operations including production and maintenance in a factory.

[0265] A "break" is a temporary interruption in continuous work, intended to reduce fatigue and improve work efficiency.

[0266] A "threshold" is a reference time for determining a particular condition, and when this time is exceeded, a particular action (for example, displaying a pop-up) is executed.

[0267] A "pop-up" is a notification or message that suddenly appears on the screen, prompting the user to provide specific information or take a specific action.

[0268] "Stretching" refers to exercises that involve stretching the body, particularly those aimed at relieving physical fatigue caused by working in the same position for long periods of time.

[0269] A "break" refers to a temporary interruption in work to refresh oneself, which is necessary in order to maintain work efficiency and recover from fatigue.

[0270] "Natural language processing" refers to the technology for understanding and generating human language, and to the means for conducting dialogue with users.

[0271] "Maintenance" refers to the work of inspecting and repairing robots and machines to ensure they function properly.

[0272] "Environmental information" refers to data about the surrounding situation and conditions in which a user or robot is working.

[0273] "Operating time information" refers to data regarding the amount of time a robot or machine is operating continuously.

[0274] This invention provides a system that measures a specific elapsed time and prompts users to take a break or perform maintenance at an appropriate time in order to balance the user's work efficiency and health management. The purpose of this system is to allow users to take appropriate breaks while working. It also includes a function to monitor the operating status of robots in factories and prompt them to perform regular maintenance.

[0275] The entire system is realized by the following hardware and software configuration:

[0276] Server: Measures the elapsed time and displays a popup if the threshold is exceeded. Uses a time measurement server implemented in Python.

[0277] Terminal: Receives pop-up notifications from the server and displays them to the user. Displays and monitors in the factory are used.

[0278] Generative AI: Realize natural language dialogue with users. For example, use generative AI models such as OpenAI ChatGPT.

[0279] External sites: Refer to specific health information and databases to provide more detailed stretching techniques and healthy habits.

[0280] The server measures the time that has elapsed since the user or robot started working. When the elapsed time exceeds a preset threshold, the server sends a pop-up message to the terminal. The terminal displays this pop-up on the user's display, encouraging the user to take a break or perform maintenance at an appropriate time.

[0281] In addition, the generative AI uses natural language processing to answer questions from users about their health and work, allowing them to receive advice on specific stretching techniques and how to maintain work efficiency.

[0282] As a concrete example, after the robot has worked for two hours, a pop-up appears, urging it to "It's time to stretch!" If the user asks, "I've been feeling tired lately. What should I do?", the generative AI responds, "When stretching, I recommend that you first rotate your shoulders. It is also important to take a break from your eyes."

[0283] Example prompts for generative AI models: User: I've been feeling really tired lately, what should I do? Assistant: When stretching, I recommend doing shoulder rotations first. Also, it's important to take eye breaks.

[0284] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0285] Step 1: The server receives input that records when a user or robot begins a task and starts a timer. The input data includes the timing of the task start and the identity of the user or robot. The timer measures the elapsed time and generates an output that is updated at regular intervals.

[0286] Step 2: The server checks the elapsed time based on a configured threshold (e.g. 2 hours). Inputs include the current elapsed time and the configured threshold. If the time exceeds the threshold, the server generates an output that generates a message to display in a popup.

[0287] Step 3: The terminal receives the popup message sent from the server and displays it to the user. The input includes the message data received from the server. Based on this data, the terminal outputs a message such as "It's time to stretch!" on the user's display.

[0288] Step 4: The user responds to the displayed popup by asking a natural language question, such as "I've been feeling tired lately. What should I do?". The input includes the user's voice or text question. The output is the data generated for this question.

[0289] Step 5: The server sends the user's question to the generative AI, which analyzes the received question data (input) and generates an appropriate answer. The output includes advice in generated natural language.

[0290] Step 6: Based on the user's question, the generative AI refers to external sites and internal databases to collect detailed information. This input includes the question content and the identification information of the database to be referenced. The generative AI processes this data to obtain an output that generates more specific advice.

[0291] Step 7: The server sends the generated advice to the device, which includes as input the advice data received from the generative AI. The device displays this data to the user and generates an output that provides appropriate stretching techniques and health care advice.

[0292] Specifically, when a user asks, "I've been feeling tired lately. What should I do?", the generative AI refers to the database and offers advice such as, "I recommend doing shoulder rotation exercises. It's also important to take eye breaks." This advice is displayed to the user via the device.

[0293] Example prompts for generative AI models: User: I've been feeling really tired lately, what should I do? Assistant: When stretching, I recommend doing shoulder rotations first. It's also important to take eye breaks.

[0294] In addition, an emotion engine that estimates the emotion of the user may be further combined. That is, the identification processing unit 290 may estimate the emotion of the user using the emotion identification model 59, and perform identification processing using the emotion of the user.

[0295] An embodiment for implementing the technology of the present disclosure includes the following elements.

[0296] 1. Server: A server with an emotion engine built in. The server has the function of recognizing the user's emotions and estimating the user's emotional state.

[0297] 2. Terminal: Has a function for receiving and displaying the popup sent from the server. The terminal has a function for customizing the contents of the popup and the types of stretching and light exercise suggested based on the user's emotional state.

[0298] 3. Generative AI: It has a natural language processing function to communicate with the user. The generative AI has the function of considering the user's emotional information obtained from the emotion engine and proposing appropriate advice and relaxation methods.

[0299] 4. External sites: These are various sites outside the system that the generative AI refers to when answering the user's questions. The server provides multimedia content such as music and video that matches the user's emotional state based on the information obtained from the external sites.

[0300] The system disclosed herein can be realized by combining the above elements. The server uses an emotion engine to recognize the user's emotions and estimate the emotional state. The terminal receives the pop-up sent from the server and displays customized information based on the user's emotional state. The generative AI suggests advice and relaxation methods tailored to the user's emotions through dialogue with the user, and provides multimedia content by utilizing information obtained from external sites.

[0301] According to this form, the system of the present disclosure can be implemented by combining a server, a terminal, a generative AI, and an external site.

[0302] The process flow will be explained below.

[0303] Step 1: The server recognizes the user's emotion. -The server analyzes the user's facial expressions and voice characteristics and uses an emotion engine to estimate the user's emotional state.

[0304] Step 2: The server generates the popup based on the sentiment. -The server generates popups to provide appropriate advice and relaxation methods based on the user's emotional state. For example, if the user is feeling stressed, the system will suggest ways to relax and relieve stress.

[0305] Step 3: The server generates a popup and sends it to the device. -The server sends the generated popup to the device. -The pop-up contains advice tailored to your emotions and ways to relax.

[0306] Step 4: The device receives and displays the popup. -The device receives the popup sent from the server. -Display the received popup on the device screen.

[0307] Step 5: User sees the popup and selects the appropriate action. -The user confirms the popup displayed on the device. -The pop-up displays advice and relaxation methods tailored to the user's emotions, allowing the user to choose the appropriate action. For example, if the user selects a relaxation method, the user relaxes according to the specific method displayed in the pop-up.

[0308] Step 6: The user initiates a dialogue with the generative AI. -After receiving the pop-up, the user begins interacting with the generative AI on their device. -Users ask emotion-related questions or concerns to the generative AI.

[0309] Step 7: The generative AI answers the user's question. -Generative AI generates appropriate answers to user questions. -The generative AI takes into account the user's emotional information obtained from the emotion engine and suggests appropriate advice and relaxation methods.

[0310] Step 8: The generative AI serves up multimedia content from external sites. -Generative AI uses information obtained from external sites to provide multimedia content such as music and video that matches the user's emotional state. For example, if a user needs to relax, the app will suggest relaxing music or videos.

[0311] The above are the processing steps of the server, terminal, user, and generative AI, and their respective specific operations.

[0312] Example 2 Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the smart glasses 214 are referred to as a "terminal".

[0313] In conventional user support systems, it is difficult to provide appropriate advice and relaxation methods that respond quickly to changes in emotions. In addition, there is a lack of content customized based on the user's emotional state and surrounding environment, which makes it difficult to achieve user satisfaction and effective stress reduction.

[0314] 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.

[0315] In this invention, the server includes a means for recognizing and estimating the user's emotional state, a means for generating and displaying a pop-up message based on the emotional state, a natural language processing means for interacting with the user, and a means for providing multimedia content that matches the user's emotional state based on data obtained from an external information source. This makes it possible to provide advice and relaxation methods that are in line with the user's emotions, and furthermore, by providing customized content based on the user's emotional state, it is possible to reduce the user's stress and increase their satisfaction.

[0316] "Means for recognizing and estimating emotional states" refers to technology that analyzes data such as the user's facial expressions and voice to identify and determine the emotions they are feeling at the time.

[0317] The "means for generating and displaying a pop-up message" is a function for automatically creating an appropriate message based on the user's emotional state and displaying it on the user's terminal.

[0318] "Natural language processing means" refers to technology for understanding inputs and questions from a user and generating appropriate responses in order to engage in dialogue with the user.

[0319] The "means for suggesting advice and relaxation methods according to the emotional state" is a function that analyzes the user's current emotional state and automatically provides appropriate advice and relaxation methods based on that state.

[0320] "Means for providing multimedia content tailored to the user's emotional state, based on data obtained from external information sources" refers to a function that utilizes information obtained from external databases and information sites to provide music, videos, and other content that is optimal for the user's emotional state.

[0321] The "database for recommending healthy habits" is a database that accumulates information that is useful for users to maintain their health and reduce stress.

[0322] The "means for acquiring surrounding environmental information" refers to technology for collecting environmental data such as temperature, humidity, and noise around the user.

[0323] The "means for acquiring user age information" refers to technology for collecting data regarding the user's age.

[0324] The "means for acquiring information regarding the user's emotional state and providing a response based on that information" refers to technology that measures the user's emotional state and provides appropriate advice or responses based on that information.

[0325] As an embodiment of the present invention, a system that recognizes the emotional state of a user and provides appropriate advice and relaxation methods based on the state will be described. The system is composed of a server, a terminal, a generative AI model, and an external information source.

[0326] server The server is equipped with an emotion engine and performs the main processing to recognize and estimate the user's emotional state. The server analyzes the data sent from the device and uses "OpenCV" as a facial recognition technology and "Google Cloud Speech-to-Text" as a voice analysis technology to identify the user's emotion.

[0327] Terminal The terminal is responsible for collecting input data from the user and sending it to the server. Examples of such devices include PCs, smartphones, and tablets. The terminal is equipped with a camera and microphone, and collects the user's face and voice in real time. It also has a function to display pop-up messages sent from the server.

[0328] Generative AI Models The generative AI model will engage in natural language dialogue with the user and suggest appropriate advice and relaxation methods based on the acquired emotional state, using natural language processing technologies such as "ChatGPT" and "DialogFlow" for this purpose.

[0329] external information sources The server retrieves multimedia content from external sources (databases and sites) and serves it according to the user's emotional state, for example, it can retrieve relaxing music from a music streaming site or meditation videos from a video platform.

[0330] Examples

[0331] emotion recognition When a user shows a facial expression in front of the device's camera, the device sends the image to the server, which uses OpenCV to analyze the user's facial expression and identify emotions such as "happiness," "sadness," and "anger."

[0332] Generate a popup message If the server estimates the user's emotional state as "tired," it generates a message saying "Take a 5-minute break and refresh yourself!" and sends it to the terminal. The terminal displays this message to the user.

[0333] Start a conversation When a user types "How can I relax?" into their device, the generative AI model suggests, "Why not try taking a deep breath today? Play some relaxing music?"

[0334] Acquiring external information If the user answers "yes," the server retrieves relaxing music from a music streaming site and sends the URL to the device, where the music is played and enjoyed by the user.

[0335] Examples of prompt statements

[0336] Here are some example prompts to feed to a generative AI model: User: I'm feeling really tired right now. Generative AI: That's tough. Try taking a five-minute break and doing some deep breathing and gentle stretching. Would you like to play some relaxing music? User: I'm really stressed out today. Generative AI: When you're stressed, take care of yourself. A good way to relax is to take a walk or meditate. Would you like to play a relaxing video?

[0337] In this way, the system can provide customized advice and content based on the user's emotional state.

[0338] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0339] Step 1: A user accesses a terminal. Specific operation: A user launches an application on the system using a smartphone or tablet. Input: User action (launch of application). Output: The camera and microphone are ready to be activated when the application is launched.

[0340] Step 2: The device collects the user's face and voice. How it works: The device's camera captures the user's face and the microphone records the user's voice. The collected data is sent to the server in real time. Input: User's facial video and audio data. Output: Transmission of video and audio data from the device to the server.

[0341] Step 3: The server recognizes and estimates the user's emotional state. Specific operation: The server analyzes the received facial image using "OpenCV" and the voice data using "Google Cloud Speech-to-Text", thereby estimating the user's emotional state (e.g., happiness, sadness, anger). Input: Facial image and audio data sent from the device. Output: User's emotional state data (e.g. "tired", "stressed").

[0342] Step 4: The server generates a popup message based on the emotional state. Specific behavior: The server generates an appropriate popup message based on the result of the emotion engine, for example, "Take a 5-minute break and refresh yourself!" Input: User emotional state data. Output: The generated popup message.

[0343] Step 5: The server sends a popup message to the terminal, which displays it. Specific operation: The server generates a message and sends it to the terminal, which displays it to the user as a popup. Input: Popup message. Output: A popup message that appears on the terminal.

[0344] Step 6: The generative AI model interacts with the user. How it works: When a user responds to a pop-up message, the generative AI model analyzes the response and takes appropriate action, such as providing tips on how to relax or advice. Input: The user's response. Output: The response message from the generative AI model.

[0345] Step 7: A server obtains multimedia content from an external information source and provides it to a terminal. How it works: The server retrieves content from external music streaming sites or video platforms and sends the URL or file to the device, which then plays it. Input: A request for multimedia content from an external source. Output: Multimedia content sent to a terminal and its playback. Through these steps, the system can provide customized advice and relaxation methods based on the user's emotional state. While keeping the tone simple, we have explained in detail the specific actions taken at each step and the data input and output.

[0346] (Application example 2) 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".

[0347] Conventional learning support systems have a function that prompts users to take a break with a pop-up after a certain amount of time has passed in order to improve their learning efficiency, but because they do not take into account the user's emotional state, they have the problem of not being able to provide appropriate advice or content tailored to each user's individual situation. In addition, information or suggestions that are useful to a particular user may be counterproductive to other users, so more personalized support is required.

[0348] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for recognizing the user's emotion and estimating the emotional state, a means for displaying information customized based on the emotional state, and a natural language processing means for interacting with the user. This makes it possible to provide appropriate advice and relaxation methods according to the user's emotional state. In addition, multimedia content tailored to the emotional state can be provided based on information obtained from an external site, realizing more personalized support.

[0349] "Means for recognizing a user's emotions and estimating an emotional state" refers to technology that uses sensors and algorithms to detect the user's emotions and determine the user's current emotional state.

[0350] The "means for displaying information customized based on an emotional state" is a technology that automatically generates content that matches the emotional state of a user and displays it on the user's terminal.

[0351] The "natural language processing means for interacting with a user" refers to a natural language processing technology for understanding text or voice input by a user and generating an appropriate response.

[0352] "Means for providing multimedia content tailored to the user's emotional state, based on information obtained from external sites" refers to a technology that uses data obtained from external information sources on the Internet to generate and provide content such as music and video that corresponds to the user's emotions.

[0353] A "generative AI model" is a technology that uses a trained artificial intelligence model to generate dialogue and content that is appropriate to the user's emotions.

[0354] A "prompt sentence" is an input sentence given to a generative AI model, based on which an appropriate response or content is generated.

[0355] As an embodiment of the present invention, the system can be configured as follows.

[0356] The server is the main unit with an emotion engine that recognizes the user's emotions and estimates the user's emotional state. This server acquires the user's facial expressions and voice data using sensors such as cameras and microphones, and analyzes the user's emotions using the EmotionRecognition library. Based on the user's emotional information, the server also generates optimal multimedia content using the ContentRecommendation engine.

[0357] The terminal is a user interface device such as a smartphone. The terminal displays pop-ups sent from the server and provides the user with exercise suggestions and customized information based on the user's emotional state. For example, if the user is feeling stressed, the terminal displays music and images to help the user relax.

[0358] Generative AI models are used to engage in dialogue with users by utilizing natural language processing techniques. For example, models such as ChatGPT are used to generate relaxation methods and advice based on the user's emotional state. This AI model analyzes text and voice data entered by the user and generates appropriate responses. This allows users to have a pleasant experience through dialogue.

[0359] As a concrete example, if the emotion engine recognizes that the user is feeling stressed, it inputs the following prompt sentence into the generative AI model.

[0360] "You seem to be a bit stressed today. Let's take a deep breath together, and then I'll play some relaxing music. I hope it helps you feel a little refreshed."

[0361] Based on this prompt, the generative AI model suggests appropriate relaxation methods and music to the user.

[0362] The overall flow of the system is that the user uses the device, emotion recognition is performed, and the server provides appropriate content and dialogue based on the emotional state. In this process, generative AI models and information obtained from external sites are utilized to always provide the user with the optimal experience.

[0363] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0364] Step 1: The server captures facial expression and voice data through a camera and microphone to recognize the user's emotional state. The input data are the user's facial expression images and voice data. This data is analyzed using the EmotionRecognition library to estimate the user's emotional state (e.g., stress, anxiety, happiness, etc.). The output is the user's current emotional state.

[0365] Step 2: The server generates customized information based on the user's emotional state. The input is the emotional state estimated in step 1. This information includes relaxation methods and suitable activity suggestions. To generate this information, we use a ContentRecommendation engine. The output is specific relaxation methods and exercise suggestions tailored to the user's emotional state.

[0366] Step 3: The server sends customized information based on the emotional state to the terminal. The input is the customized information generated in step 2. The terminal receives this information and displays it to the user as a popup. The output is a popup message displayed on the terminal screen.

[0367] Step 4: The user practices relaxation techniques or exercises based on the suggestions displayed in the pop-up. During this time, the device observes the user's reactions and next actions. The input is the user's actions and reactions to the pop-up messages. The output is the data recorded based on the actions or the trigger for the next action.

[0368] Step 5: The server uses a generative AI model to perform natural language processing to interact with the user. The input is a question or comment from the user. Based on this input, the generative AI model generates an appropriate response, providing relaxation techniques and advice. The output is a response message generated in natural language.

[0369] Step 6: The server uses information obtained from external sites to provide multimedia content tailored to the emotional state. The input is the user's emotional state and a request based on it. Based on this request, the server retrieves relevant music and video from external sites. The output is customized multimedia content provided to the user.

[0370] Step 7: The terminal plays the multimedia content sent from the server and provides it to the user. The input is the multimedia content from the server. The terminal plays this content and provides the user with visual and auditory relaxation effects. The output is the multimedia content that the user watches or listens to.

[0371] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the 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.

[0372] 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 making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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.

[0373] 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 smart glasses 214.

[0374] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0375] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0376] 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 wide area network (WAN) and / or a local area network (LAN).

[0377] 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.

[0378] 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 the voice according to instructions from the processor 46.

[0379] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0380] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0381] Fig. 6 shows an example of 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.

[0382] 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.

[0383] 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.

[0384] In the headset type terminal 314, 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.

[0385] 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".

[0386] An embodiment for implementing the technology of the present disclosure includes the following elements.

[0387] 1. Server: Has a function for measuring elapsed time. Has a function for measuring the elapsed time from the start of the user's learning and comparing it with a threshold value to determine whether it has exceeded the threshold.

[0388] 2. Terminal: Has a function for receiving and displaying the popup sent from the server. The user can receive the popup and take an appropriate break according to the displayed suggestions for stretching or light exercise.

[0389] 3. Generative AI: It has a natural language processing function to communicate with users, and has the ability to answer questions about the user's eyestrain and sitting too long, and provide information to recommend healthy habits.

[0390] 4. External sites: These are various sites outside the system that the generative AI refers to when answering the user's questions. The server suggests specific stretching methods and healthy habits to the user based on the information obtained from the external sites.

[0391] The system disclosed in this disclosure can be realized by combining the above elements. The server measures the elapsed time and sends a pop-up to the terminal if the time exceeds a threshold. The user receives the pop-up and answers questions about eye fatigue and sitting too long through dialogue with generative AI, and is recommended healthy habits. In addition, more specific stretching methods and healthy habits can be suggested by referring to external sites.

[0392] According to this form, the system of the present disclosure can be implemented by combining a server, a terminal, a generative AI, and an external site.

[0393] The process flow will be explained below.

[0394] Step 1: The server starts timing. -The server measures the elapsed time from the time the user started learning.

[0395] Step 2: Determine if the server has exceeded the threshold. The server determines whether the measured elapsed time exceeds a preset threshold.

[0396] Step 3: The server generates the popup and sends it to the device. If the elapsed time exceeds the threshold, the server generates a popup. -The pop-up includes suggestions for stretching and gentle exercise. -The server sends the generated popup to the device.

[0397] Step 4: The device receives and displays the popup. -The device receives the popup sent from the server. -Display the received popup on the device screen.

[0398] Step 5: User sees the popup and selects the appropriate action. -The user confirms the popup displayed on the device. -The pop-up includes suggestions for stretching and light exercise so the user can choose the appropriate action. For example, if the user selects to stretch, the user performs the stretching according to the specific stretching method displayed in the pop-up.

[0399] Step 6: The user initiates a dialogue with the generative AI. -After receiving the pop-up, the user begins interacting with the generative AI on their device. -The user asks the generative AI questions about physical fatigue, such as eye strain or sitting too long.

[0400] Step 7: The generative AI answers the user's question. -Generative AI generates appropriate answers to user questions. -The generative AI refers to external sites to obtain information and provides answers to user questions.

[0401] Step 8: Generative AI recommends healthy habits. -The generative AI takes into account at least one of the following: the user's surroundings, questions, answers, age, etc., and recommends healthy habits. -The generative AI will refer to a predefined health database to provide specific advice and suggestions.

[0402] The above are the processing steps of the server, terminal, user, and generative AI, and their respective specific operations.

[0403] Example 1 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".

[0404] Accumulation of physical fatigue and stress caused by long periods of continuous study or work can have a negative impact on health. In particular, eye fatigue and back pain caused by sitting too long are major factors that reduce a user's concentration and productivity. However, it is difficult for users to take breaks at appropriate times by their own judgment, and they do not have the knowledge of specific health measures. Therefore, there is a demand for a system that supports users' study and work and suggests appropriate break times and specific healthy actions.

[0405] 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.

[0406] In this invention, the server includes a means for measuring the elapsed time of the user's learning, a means for displaying a pop-up when the elapsed time exceeds a preset threshold, a means for including a suggestion of simple exercise in the pop-up, a natural language processing means for engaging in a dialogue with the user, a means for answering questions of the user using the natural language processing means, and a means for suggesting healthy habits using the natural language processing means. As a result, the user is suggested to take a break at an appropriate time, and specific stretching methods and healthy habits are suggested by the generative AI model, so that the user can continue learning or working efficiently and healthily.

[0407] A "user" is a person who uses this system to study or work.

[0408] "Learning" refers to ongoing activities or intellectual tasks that allow users to increase their knowledge and skills.

[0409] The "server" is the central computer device of this system, and is responsible for measuring the user's study time and managing necessary notifications and information.

[0410] "Elapsed time" refers to the time from when the user started studying to the present.

[0411] A "threshold" is a reference elapsed time value set by the server, and when this value is exceeded, a specific action is executed.

[0412] A "pop-up" is a message window that suddenly appears on the screen, providing information to the user encouraging them to take a break or exercise.

[0413] "Exercise suggestions" refers to suggestions to encourage the user to take physical actions such as stretching or light exercise.

[0414] "Natural language processing means" refers to technology and software that enables computers to understand and generate human language.

[0415] An "external website" is an internet information source that exists outside of this system and is a site used to obtain data such as health information and stretching techniques.

[0416] "Healthy Habits" refers to daily actions and activities that are recommended to promote a user's physical and mental health.

[0417] A "generative AI model" is an artificial intelligence technology used to support dialogue with users and generate appropriate responses and suggestions.

[0418] The system is designed to help users take appropriate breaks during long periods of study or work. Specifically, it works by combining a server, a terminal, a generative AI model, and an external website.

[0419] The server is responsible for recording the time when the user started learning and measuring the elapsed time. The software used by the server is the Python datetime library. The server checks the elapsed time of the user's learning at regular intervals, and if the elapsed time exceeds a set threshold, it sends a popup to the terminal. JavaScript and WebSocket technology are used for this transmission.

[0420] The terminal receives the pop-up notification from the server and displays it to the user. The hardware that executes this includes PCs and smartphones, and the software uses a web browser (e.g., Google Chrome). The pop-up notification includes a message encouraging the user to take a break and a suggestion for simple exercise.

[0421] When the user confirms the pop-up notification and accepts the break suggestion, a dialogue with the generative AI model begins. The generative AI model has natural language processing capabilities and answers questions about the user's physical fatigue and health. The generative AI model runs on Python and JavaScript.

[0422] The server retrieves health information from external websites as needed and provides it to the generative AI model. This data retrieval uses the requests library to send HTTP requests, allowing the generative AI model to suggest more specific stretching methods and healthy habits to the user.

[0423] As a concrete example, consider a case where a user has been working on a computer for more than an hour continuously. The server measures the elapsed time, and when that time exceeds a threshold (for example, one hour), a pop-up appears on the device saying, "It's time to take a break. Why not try some simple stretches?" When the user clicks on this pop-up, the generative AI model asks, "What kind of stretches would you like to do? Also, are you concerned about anything, such as eye fatigue or back pain from sitting too long?" If the user answers, "eye fatigue," the generative AI model suggests a stretching method called "palm eye," and provides detailed instructions.

[0424] Example prompt: "The user is experiencing eye strain. Can you suggest specific stretches to relieve eye strain? Also, provide a routine that will be effective."

[0425] The system allows users to take breaks at appropriate times and receive specific health advice, enabling them to continue studying or working efficiently and in a healthy manner.

[0426] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0427] Program processing steps

[0428] Step 1: The server records the time when the user starts learning. Input: Trigger for start learning operation, user ID How it works: The server uses the datetime library to get the current time and records it in a database (e.g. MySQL) along with the user id. Output: The learning start time is recorded in the database. Specific operation: Executes datetime.now() to obtain the current time, and saves "The learning start time for user ID: 1234 is 2023-10-10 09:00:00."

[0429] Step 2: The server periodically checks whether a certain amount of time has passed. Input: Learning start time from database, current time How it works: Every 5 minutes the server calculates the difference between the start time and the current time and compares it to a threshold. This periodic check is performed by a cron job like time.sleep(300). Output: Result of judgment whether the elapsed time exceeds the threshold. Specific operation: Compare datetime.now() with the start time obtained from the database and determine that "the elapsed learning time for user ID: 1234 exceeds 1 hour."

[0430] Step 3: If the server exceeds the threshold, a pop-up notification is sent to the device. Input: The result that the elapsed time exceeded the threshold. Behavior: When a threshold is exceeded, the server generates a notification message using JavaScript or WebSocket and sends it to the device. Output: Send a popup notification message Specific operation: The server executes "Send a popup message to user ID: 1234" and sends a message to the terminal saying "It's time to take a break. Why not try doing some simple stretches?"

[0431] Step 4: The device displays a pop-up notification to the user. Input: Popup notification message from the server How it works: The device uses JavaScript to display the received message as a popup in the web browser. Output: The user sees a popup. Specific operation: The message received by the terminal from the server is displayed in a pop-up window in the browser.

[0432] Step 5: The user confirms the popup and begins interacting with the generative AI model. Input: Confirmation of popup notification, user response How it works: The user clicks on the popup to begin interacting with the generative AI model, which then begins natural language processing. Output: An interactive session with a generative AI model Specific behavior: The user clicks the “Accept break suggestion” button, and the generative AI model asks, “What kind of stretching would you like to do?”

[0433] Step 6: A generative AI model suggests appropriate stretches and healthy habits. Input: Questions and status from the user How it works: The generative AI model analyzes the user's responses and suggests specific stretches and health habits depending on the condition, such as eye fatigue or sitting too long. Natural language processing technology is used for this analysis and response generation. Output: Specific stretching methods and health habits suggestions How it works: When a user types, "I feel tired eyes," the generative AI model suggests a stretching method called "palm eye."

[0434] Step 7: The server retrieves the necessary information from external websites and provides it to the generative AI model. Input: User question, request for required information How it works: The server sends HTTP requests to retrieve data from external health information sites, then provides the retrieved information to the generative AI model. Output: Data obtained from outside What it does: It uses the requests library to search for "how to relieve eye strain" and gets information from trusted sites.

[0435] Step 8: The generative AI model displays suggestions to the user. Input: External information from the server, analysis results of the generative AI model How it works: The generative AI model uses the information it acquires to generate suggestions and displays them to the user. These are displayed in JavaScript and HTML. Output: Show suggestions Specific operation: The generative AI model will suggest detailed steps such as "Here's how to stretch your palm eye," and display them in a pop-up or new window.

[0436] This series of steps allows users to take breaks at the right time and receive specific health advice.

[0437] (Application example 1) 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."

[0438] In a working environment that includes humans and robots, continuous work for long periods of time can lead to reduced efficiency and health problems. In particular, robots in factories tend to operate continuously, leading to a lack of maintenance and a higher risk of breakdowns and reduced productivity. There is a need to solve this problem and provide an efficient and healthy working environment.

[0439] 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.

[0440] In this invention, the server includes a means for encouraging a user to take an appropriate break during a task, a means for measuring an elapsed time during the task, a means for displaying a pop-up when the elapsed time exceeds a preset threshold, a means for including a suggestion for stretching or resting in the pop-up, a natural language processing means for dialogue with the user, and a means for encouraging a robot to perform regular maintenance or refreshment using the pop-up as maintenance support for the robot in an industrial environment. This allows workers and robots to take breaks or perform maintenance at appropriate times, achieving both work efficiency and health management.

[0441] "User" refers to a human who operates the system or a robot that performs an action.

[0442] "Work" refers to a series of activities or operations performed by a user, especially operations including production and maintenance in a factory.

[0443] A "break" is a temporary interruption in continuous work, intended to reduce fatigue and improve work efficiency.

[0444] A "threshold" is a reference time for determining a particular condition, and when this time is exceeded, a particular action (for example, displaying a pop-up) is executed.

[0445] A "pop-up" is a notification or message that suddenly appears on the screen, prompting the user to provide specific information or take a specific action.

[0446] "Stretching" refers to exercises that involve stretching the body, particularly those aimed at relieving physical fatigue caused by working in the same position for long periods of time.

[0447] A "break" refers to a temporary interruption in work to refresh oneself, which is necessary in order to maintain work efficiency and recover from fatigue.

[0448] "Natural language processing" refers to the technology for understanding and generating human language, and to the means for conducting dialogue with users.

[0449] "Maintenance" refers to the work of inspecting and repairing robots and machines to ensure they function properly.

[0450] "Environmental information" refers to data about the surrounding situation and conditions in which a user or robot is working.

[0451] "Operating time information" refers to data regarding the amount of time a robot or machine is operating continuously.

[0452] This invention provides a system that measures a specific elapsed time and prompts users to take a break or perform maintenance at an appropriate time in order to balance the user's work efficiency and health management. The purpose of this system is to allow users to take appropriate breaks while working. It also includes a function to monitor the operating status of robots in factories and prompt them to perform regular maintenance.

[0453] The entire system is realized by the following hardware and software configuration:

[0454] Server: Measures the elapsed time and displays a popup if the threshold is exceeded. Uses a time measurement server implemented in Python.

[0455] Terminal: Receives pop-up notifications from the server and displays them to the user. Displays and monitors in the factory are used.

[0456] Generative AI: Realize natural language dialogue with users. For example, use generative AI models such as OpenAI ChatGPT.

[0457] External sites: Refer to specific health information and databases to provide more detailed stretching techniques and healthy habits.

[0458] The server measures the time that has elapsed since the user or robot started working. When the elapsed time exceeds a preset threshold, the server sends a pop-up message to the terminal. The terminal displays this pop-up on the user's display, encouraging the user to take a break or perform maintenance at an appropriate time.

[0459] In addition, the generative AI uses natural language processing to answer questions from users about their health and work, allowing them to receive advice on specific stretching techniques and how to maintain work efficiency.

[0460] As a concrete example, after the robot has worked for two hours, a pop-up appears, urging it to "It's time to stretch!" If the user asks, "I've been feeling tired lately. What should I do?", the generative AI responds, "When stretching, I recommend that you first rotate your shoulders. It is also important to take a break from your eyes."

[0461] Example prompts for generative AI models: User: I've been feeling really tired lately, what should I do? Assistant: When stretching, I recommend doing shoulder rotations first. Also, it's important to take eye breaks.

[0462] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0463] Step 1: The server receives input that records when a user or robot begins a task and starts a timer. The input data includes the timing of the task start and the identity of the user or robot. The timer measures the elapsed time and generates an output that is updated at regular intervals.

[0464] Step 2: The server checks the elapsed time based on a configured threshold (e.g. 2 hours). Inputs include the current elapsed time and the configured threshold. If the time exceeds the threshold, the server generates an output that generates a message to display in a popup.

[0465] Step 3: The terminal receives the popup message sent from the server and displays it to the user. The input includes the message data received from the server. Based on this data, the terminal outputs a message such as "It's time to stretch!" on the user's display.

[0466] Step 4: The user responds to the displayed popup by asking a natural language question, such as "I've been feeling tired lately. What should I do?". The input includes the user's voice or text question. The output is the data generated for this question.

[0467] Step 5: The server sends the user's question to the generative AI, which analyzes the received question data (input) and generates an appropriate answer. The output includes advice in generated natural language.

[0468] Step 6: Based on the user's question, the generative AI refers to external sites and internal databases to collect detailed information. This input includes the question content and the identification information of the database to be referenced. The generative AI processes this data to obtain an output that generates more specific advice.

[0469] Step 7: The server sends the generated advice to the device, which includes as input the advice data received from the generative AI. The device displays this data to the user and generates an output that provides appropriate stretching techniques and health care advice.

[0470] Specifically, when a user asks, "I've been feeling tired lately. What should I do?", the generative AI refers to the database and offers advice such as, "I recommend doing shoulder rotation exercises. It's also important to take eye breaks." This advice is displayed to the user via the device.

[0471] Example prompts for generative AI models: User: I've been feeling really tired lately, what should I do? Assistant: When stretching, I recommend doing shoulder rotations first. It's also important to take eye breaks.

[0472] In addition, an emotion engine that estimates the emotion of the user may be further combined. That is, the identification processing unit 290 may estimate the emotion of the user using the emotion identification model 59, and perform identification processing using the emotion of the user.

[0473] An embodiment for implementing the technology of the present disclosure includes the following elements.

[0474] 1. Server: A server with an emotion engine built in. The server has the function of recognizing the user's emotions and estimating the user's emotional state.

[0475] 2. Terminal: Has a function for receiving and displaying the popup sent from the server. The terminal has a function for customizing the contents of the popup and the types of stretching and light exercise suggested based on the user's emotional state.

[0476] 3. Generative AI: It has a natural language processing function to communicate with the user. The generative AI considers the user's emotional information obtained from the emotion engine and suggests appropriate advice and relaxation methods.

[0477] 4. External sites: These are various sites outside the system that the generative AI refers to when answering user questions. The server provides multimedia content such as music and video that matches the user's emotional state based on information obtained from external sites.

[0478] The system disclosed herein can be realized by combining the above elements. The server uses an emotion engine to recognize the user's emotions and estimate the emotional state. The terminal receives the pop-up sent from the server and displays customized information based on the user's emotional state. The generative AI suggests advice and relaxation methods tailored to the user's emotions through dialogue with the user, and provides multimedia content by utilizing information obtained from external sites.

[0479] According to this form, the system of the present disclosure can be implemented by combining a server, a terminal, a generative AI, and an external site.

[0480] The process flow will be explained below.

[0481] Step 1: The server recognizes the user's emotion. -The server analyzes the user's facial expressions and voice characteristics and uses an emotion engine to estimate the user's emotional state.

[0482] Step 2: The server generates the popup based on the sentiment. -The server generates popups to provide appropriate advice and relaxation methods based on the user's emotional state. For example, if the user is feeling stressed, the system will suggest ways to relax and relieve stress.

[0483] Step 3: The server generates a popup and sends it to the device. -The server sends the generated popup to the device. -The pop-up contains advice tailored to your emotions and ways to relax.

[0484] Step 4: The device receives and displays the popup. -The device receives the popup sent from the server. -Display the received popup on the device screen.

[0485] Step 5: User sees the popup and selects the appropriate action. -The user confirms the popup displayed on the device. -The pop-up displays advice and relaxation methods tailored to the user's emotions, allowing the user to choose the appropriate action. For example, if the user selects a relaxation method, the user relaxes according to the specific method displayed in the pop-up.

[0486] Step 6: The user initiates a dialogue with the generative AI. -After receiving the pop-up, the user begins interacting with the generative AI on their device. -Users ask emotion-related questions or concerns to the generative AI.

[0487] Step 7: The generative AI answers the user's question. -Generative AI generates appropriate answers to user questions. -The generative AI takes into account the user's emotional information obtained from the emotion engine and suggests appropriate advice and relaxation methods.

[0488] Step 8: The generative AI serves up multimedia content from external sites. -Generative AI uses information obtained from external sites to provide multimedia content such as music and video that matches the user's emotional state. For example, if a user needs to relax, the app will suggest relaxing music or videos.

[0489] The above are the processing steps of the server, terminal, user, and generative AI, and their respective specific operations.

[0490] Example 2 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".

[0491] In conventional user support systems, it is difficult to provide appropriate advice and relaxation methods that respond quickly to changes in emotions. In addition, there is a lack of content customized based on the user's emotional state and surrounding environment, which makes it difficult to achieve user satisfaction and effective stress reduction.

[0492] 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.

[0493] In this invention, the server includes a means for recognizing and estimating the user's emotional state, a means for generating and displaying a pop-up message based on the emotional state, a natural language processing means for interacting with the user, and a means for providing multimedia content that matches the user's emotional state based on data obtained from an external information source. This makes it possible to provide advice and relaxation methods that are in line with the user's emotions, and furthermore, by providing customized content based on the user's emotional state, it is possible to reduce the user's stress and increase their satisfaction.

[0494] "Means for recognizing and estimating emotional states" refers to technology that analyzes data such as the user's facial expressions and voice to identify and determine the emotions they are feeling at the time.

[0495] The "means for generating and displaying a pop-up message" is a function for automatically creating an appropriate message based on the user's emotional state and displaying it on the user's terminal.

[0496] "Natural language processing means" refers to technology for understanding inputs and questions from a user and generating appropriate responses in order to engage in dialogue with the user.

[0497] The "means for suggesting advice and relaxation methods according to the emotional state" is a function that analyzes the user's current emotional state and automatically provides appropriate advice and relaxation methods based on that state.

[0498] "Means for providing multimedia content tailored to the user's emotional state, based on data obtained from external information sources" refers to a function that utilizes information obtained from external databases and information sites to provide music, videos, and other content that is optimal for the user's emotional state.

[0499] The "database for recommending healthy habits" is a database that accumulates information that is useful for users to maintain their health and reduce stress.

[0500] The "means for acquiring surrounding environmental information" refers to technology for collecting environmental data such as temperature, humidity, and noise around the user.

[0501] The "means for acquiring user age information" refers to technology for collecting data regarding the user's age.

[0502] The "means for acquiring information regarding the user's emotional state and providing a response based on that information" refers to technology that measures the user's emotional state and provides appropriate advice or responses based on that information.

[0503] As an embodiment of the present invention, a system that recognizes the emotional state of a user and provides appropriate advice and relaxation methods based on the state will be described. The system is composed of a server, a terminal, a generative AI model, and an external information source.

[0504] server The server is equipped with an emotion engine and performs the main processing to recognize and estimate the user's emotional state. The server analyzes the data sent from the device and uses "OpenCV" as a facial recognition technology and "Google Cloud Speech-to-Text" as a voice analysis technology to identify the user's emotion.

[0505] Terminal The terminal is responsible for collecting input data from the user and sending it to the server. Examples of such devices include PCs, smartphones, and tablets. The terminal is equipped with a camera and microphone, and collects the user's face and voice in real time. It also has a function to display pop-up messages sent from the server.

[0506] Generative AI Models The generative AI model will engage in natural language dialogue with the user and suggest appropriate advice and relaxation methods based on the acquired emotional state, using natural language processing technologies such as "ChatGPT" and "DialogFlow" for this purpose.

[0507] external information sources The server retrieves multimedia content from external sources (databases and sites) and serves it according to the user's emotional state, for example, it can retrieve relaxing music from a music streaming site or meditation videos from a video platform.

[0508] Examples

[0509] emotion recognition When a user shows a facial expression in front of the device's camera, the device sends the image to the server, which uses OpenCV to analyze the user's facial expression and identify emotions such as "happiness," "sadness," and "anger."

[0510] Generate a popup message If the server estimates the user's emotional state as "tired," it generates a message saying "Take a 5-minute break and refresh yourself!" and sends it to the terminal. The terminal displays this message to the user.

[0511] Start a conversation When a user types "How can I relax?" into their device, the generative AI model suggests, "Why not try taking a deep breath today? Play some relaxing music?"

[0512] Acquiring external information If the user answers "yes," the server retrieves relaxing music from a music streaming site and sends the URL to the device, where the music is played and enjoyed by the user.

[0513] Examples of prompt statements

[0514] Here are some example prompts to feed to a generative AI model: User: I'm feeling really tired right now. Generative AI: That's tough. Try taking a five-minute break and doing some deep breathing and gentle stretching. Would you like to play some relaxing music? User: I'm really stressed out today. Generative AI: When you're stressed, take care of yourself. A good way to relax is to take a walk or meditate. Would you like to play a relaxing video?

[0515] In this way, the system can provide customized advice and content based on the user's emotional state.

[0516] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0517] Step 1: A user accesses a terminal. Specific operation: A user launches an application on the system using a smartphone or tablet. Input: User action (launch of application). Output: The camera and microphone are ready to be activated when the application is launched.

[0518] Step 2: The device collects the user's face and voice. How it works: The device's camera captures the user's face and the microphone records the user's voice. The collected data is sent to the server in real time. Input: User's facial video and audio data. Output: Transmission of video and audio data from the device to the server.

[0519] Step 3: The server recognizes and estimates the user's emotional state. Specific operation: The server analyzes the received facial image using "OpenCV" and the voice data using "Google Cloud Speech-to-Text", thereby estimating the user's emotional state (e.g., happiness, sadness, anger). Input: Facial image and audio data sent from the device. Output: User's emotional state data (e.g. "tired", "stressed").

[0520] Step 4: The server generates a popup message based on the emotional state. Specific behavior: The server generates an appropriate popup message based on the result of the emotion engine, for example, "Take a 5-minute break and refresh yourself!" Input: User emotional state data. Output: The generated popup message.

[0521] Step 5: The server sends a popup message to the terminal, which displays it. Specific operation: The server generates a message and sends it to the terminal, which displays it to the user as a popup. Input: Popup message. Output: A popup message that appears on the terminal.

[0522] Step 6: The generative AI model interacts with the user. How it works: When a user responds to a pop-up message, the generative AI model analyzes the response and takes appropriate action, such as providing tips on how to relax or advice. Input: The user's response. Output: The response message from the generative AI model.

[0523] Step 7: A server obtains multimedia content from an external information source and provides it to a terminal. How it works: The server retrieves content from external music streaming sites or video platforms and sends the URL or file to the device, which then plays it. Input: A request for multimedia content from an external source. Output: Multimedia content sent to a terminal and its playback.

[0524] Through these steps, the system can provide customized advice and relaxation methods based on the user's emotional state. While keeping the tone simple, we have explained in detail the specific actions taken at each step and the data input and output.

[0525] (Application example 2) 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".

[0526] Conventional learning support systems have a function that prompts users to take a break with a pop-up after a certain amount of time has passed in order to improve their learning efficiency, but because they do not take into account the user's emotional state, they have the problem of not being able to provide appropriate advice or content tailored to each user's individual situation. In addition, information or suggestions that are useful to a particular user may be counterproductive to other users, so more personalized support is required.

[0527] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for recognizing the user's emotion and estimating the emotional state, a means for displaying information customized based on the emotional state, and a natural language processing means for interacting with the user. This makes it possible to provide appropriate advice and relaxation methods according to the user's emotional state. In addition, multimedia content tailored to the emotional state can be provided based on information obtained from an external site, realizing more personalized support.

[0528] "Means for recognizing a user's emotions and estimating an emotional state" refers to technology that uses sensors and algorithms to detect the user's emotions and determine the user's current emotional state.

[0529] The "means for displaying information customized based on an emotional state" is a technology that automatically generates content that matches the emotional state of a user and displays it on the user's terminal.

[0530] The "natural language processing means for interacting with a user" refers to a natural language processing technology for understanding text or voice input by a user and generating an appropriate response.

[0531] "Means for providing multimedia content tailored to the user's emotional state, based on information obtained from external sites" refers to a technology that uses data obtained from external information sources on the Internet to generate and provide content such as music and video that corresponds to the user's emotions.

[0532] A "generative AI model" is a technology that uses a trained artificial intelligence model to generate dialogue and content that is appropriate to the user's emotions.

[0533] A "prompt sentence" is an input sentence given to a generative AI model, based on which an appropriate response or content is generated.

[0534] As an embodiment of the present invention, the system can be configured as follows.

[0535] The server is the main unit with an emotion engine that recognizes the user's emotions and estimates the user's emotional state. This server acquires the user's facial expressions and voice data using sensors such as cameras and microphones, and analyzes the user's emotions using the EmotionRecognition library. Based on the user's emotional information, the server also generates optimal multimedia content using the ContentRecommendation engine.

[0536] The terminal is a user interface device such as a smartphone. The terminal displays pop-ups sent from the server and provides the user with exercise suggestions and customized information based on the user's emotional state. For example, if the user is feeling stressed, the terminal displays music and images to help the user relax.

[0537] Generative AI models are used to engage in dialogue with users by utilizing natural language processing techniques. For example, models such as ChatGPT are used to generate relaxation methods and advice based on the user's emotional state. This AI model analyzes text and voice data entered by the user and generates appropriate responses. This allows users to have a pleasant experience through dialogue.

[0538] As a concrete example, if the emotion engine recognizes that the user is feeling stressed, it inputs the following prompt sentence into the generative AI model.

[0539] "You seem to be a bit stressed today. Let's take a deep breath together, and then I'll play some relaxing music. I hope it helps you feel a little refreshed."

[0540] Based on this prompt, the generative AI model suggests appropriate relaxation methods and music to the user.

[0541] The overall flow of the system is that the user uses the device, emotion recognition is performed, and the server provides appropriate content and dialogue based on the emotional state. In this process, generative AI models and information obtained from external sites are utilized to always provide the user with the optimal experience.

[0542] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0543] Step 1: The server captures facial expression and voice data through a camera and microphone to recognize the user's emotional state. The input data are the user's facial expression images and voice data. This data is analyzed using the EmotionRecognition library to estimate the user's emotional state (e.g., stress, anxiety, happiness, etc.). The output is the user's current emotional state.

[0544] Step 2: The server generates customized information based on the user's emotional state. The input is the emotional state estimated in step 1. This information includes relaxation methods and suitable activity suggestions. To generate this information, we use a ContentRecommendation engine. The output is specific relaxation methods and exercise suggestions tailored to the user's emotional state.

[0545] Step 3: The server sends customized information based on the emotional state to the terminal. The input is the customized information generated in step 2. The terminal receives this information and displays it to the user as a popup. The output is a popup message displayed on the terminal screen.

[0546] Step 4: The user practices relaxation techniques or exercises based on the suggestions displayed in the pop-up. During this time, the device observes the user's reactions and next actions. The input is the user's actions and reactions to the pop-up messages. The output is the data recorded based on the actions or the trigger for the next action.

[0547] Step 5: The server uses a generative AI model to perform natural language processing to interact with the user. The input is a question or comment from the user. Based on this input, the generative AI model generates an appropriate response, providing relaxation techniques and advice. The output is a response message generated in natural language.

[0548] Step 6: The server uses information obtained from external sites to provide multimedia content tailored to the emotional state. The input is the user's emotional state and a request based on it. Based on this request, the server retrieves relevant music and video from external sites. The output is customized multimedia content provided to the user.

[0549] Step 7: The terminal plays the multimedia content sent from the server and provides it to the user. The input is the multimedia content from the server. The terminal plays this content and provides the user with visual and auditory relaxation effects. The output is the multimedia content that the user watches or listens to.

[0550] 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 voice indicating a user input for 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.

[0551] 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 making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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.

[0552] 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.

[0553] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0554] 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.

[0555] 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 wide area network (WAN) and / or a local area network (LAN).

[0556] 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. In addition, the microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0557] 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 the voice according to instructions from the processor 46.

[0558] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0559] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0560] The control target 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, legs, etc. The posture and behavior of the robot 414 are controlled by controlling the motors of the arms, hands, legs, etc. 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.

[0561] Fig. 8 shows an example of 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.

[0562] 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.

[0563] 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.

[0564] In the robot 414, 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.

[0565] Next, a description will be given of the specific processing 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".

[0566] An embodiment for implementing the technology of the present disclosure includes the following elements.

[0567] 1. Server: Has a function for measuring elapsed time. Has a function for measuring the elapsed time from the start of the user's learning and comparing it with a threshold value to determine whether it has exceeded the threshold.

[0568] 2. Terminal: Has a function for receiving and displaying the popup sent from the server. The user can receive the popup and take an appropriate break according to the displayed suggestions for stretching or light exercise.

[0569] 3. Generative AI: It has a natural language processing function to communicate with users, and has the ability to answer questions about the user's eyestrain and sitting too long, and provide information to recommend healthy habits.

[0570] 4. External sites: These are various sites outside the system that the generative AI refers to when answering the user's questions. The server suggests specific stretching methods and healthy habits to the user based on the information obtained from the external sites.

[0571] The system disclosed in this disclosure can be realized by combining the above elements. The server measures the elapsed time and sends a pop-up to the terminal if the time exceeds a threshold. The user receives the pop-up and answers questions about eye fatigue and sitting too long through dialogue with generative AI, and is recommended healthy habits. In addition, more specific stretching methods and healthy habits can be suggested by referring to external sites.

[0572] According to this form, the system of the present disclosure can be implemented by combining a server, a terminal, a generative AI, and an external site.

[0573] The process flow will be explained below.

[0574] Step 1: The server starts timing. -The server measures the elapsed time from the time the user started learning.

[0575] Step 2: Determine if the server has exceeded the threshold. The server determines whether the measured elapsed time exceeds a preset threshold.

[0576] Step 3: The server generates the popup and sends it to the device. -If the elapsed time exceeds the threshold, the server generates a popup. -The pop-up includes suggestions for stretching and gentle exercise. -The server sends the generated popup to the device.

[0577] Step 4: The device receives and displays the popup. -The device receives the popup sent from the server. -Display the received popup on the device screen.

[0578] Step 5: User sees the popup and selects the appropriate action. -The user confirms the popup displayed on the device. -The pop-up includes suggestions for stretching and light exercise so the user can choose the appropriate action. For example, if the user selects to stretch, the user performs the stretching according to the specific stretching method displayed in the pop-up.

[0579] Step 6: The user initiates a dialogue with the generative AI. -After receiving the pop-up, the user begins interacting with the generative AI on their device. -Users ask questions about eye fatigue and sitting too long to the AI ​​generator.

[0580] Step 7: The generative AI answers the user's question. -Generative AI generates appropriate answers to user questions. -The generative AI refers to external sites to obtain information and provides answers to user questions.

[0581] Step 8: Generative AI recommends healthy habits. -The generative AI takes into account at least one of the following: the user's surroundings, questions and answers, and age, and recommends healthy habits. -The generative AI will refer to a predefined health database to provide specific advice and suggestions.

[0582] The above are the processing steps of the server, terminal, user, and generative AI, and their respective specific operations.

[0583] Example 1 Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the robot 414 is referred to as a "terminal."

[0584] Accumulation of physical fatigue and stress caused by long periods of continuous study or work can have a negative impact on health. In particular, eye fatigue and back pain caused by sitting too long are major factors that reduce a user's concentration and productivity. However, it is difficult for users to take breaks at appropriate times by their own judgment, and they do not have the knowledge of specific health measures. Therefore, there is a demand for a system that supports users' study and work and suggests appropriate break times and specific healthy actions.

[0585] 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.

[0586] In this invention, the server includes a means for measuring the elapsed time of the user's learning, a means for displaying a pop-up when the elapsed time exceeds a preset threshold, a means for including a suggestion of simple exercise in the pop-up, a natural language processing means for engaging in a dialogue with the user, a means for answering questions of the user using the natural language processing means, and a means for suggesting healthy habits using the natural language processing means. As a result, the user is suggested to take a break at an appropriate time, and specific stretching methods and healthy habits are suggested by the generative AI model, so that the user can continue learning or working efficiently and healthily.

[0587] A "user" is a person who uses this system to study or work.

[0588] "Learning" refers to ongoing activities or intellectual tasks that allow users to increase their knowledge and skills.

[0589] The "server" is the central computer device of this system, and is responsible for measuring the user's study time and managing necessary notifications and information.

[0590] "Elapsed time" refers to the time from when the user started studying to the present.

[0591] A "threshold" is a reference elapsed time value set by the server, and when this value is exceeded, a specific action is executed.

[0592] A "pop-up" is a message window that suddenly appears on the screen, providing information to the user encouraging them to take a break or exercise.

[0593] "Exercise suggestions" refers to suggestions to encourage the user to take physical actions such as stretching or light exercise.

[0594] "Natural language processing means" refers to technology and software that enables computers to understand and generate human language.

[0595] An "external website" is an internet information source that exists outside of this system and is a site used to obtain data such as health information and stretching techniques.

[0596] "Healthy Habits" refers to daily behaviors and activities that are recommended to promote a user's physical and mental health.

[0597] A "generative AI model" is an artificial intelligence technology used to support dialogue with users and generate appropriate responses and suggestions.

[0598] The system is designed to help users take appropriate breaks during long periods of study or work. Specifically, it works by combining a server, a terminal, a generative AI model, and an external website.

[0599] The server is responsible for recording the time when the user started learning and measuring the elapsed time. The software used by the server is the Python datetime library. The server checks the elapsed time of the user's learning at regular intervals, and if the elapsed time exceeds a set threshold, it sends a popup to the terminal. JavaScript and WebSocket technology are used for this transmission.

[0600] The terminal receives the pop-up notification from the server and displays it to the user. The hardware that executes this includes PCs and smartphones, and the software uses a web browser (e.g., Google Chrome). The pop-up notification includes a message encouraging the user to take a break and a suggestion for simple exercise.

[0601] When the user confirms the pop-up notification and accepts the break suggestion, a dialogue with the generative AI model begins. The generative AI model has natural language processing capabilities and answers questions about the user's physical fatigue and health. The generative AI model runs on Python and JavaScript.

[0602] The server retrieves health information from external websites as needed and provides it to the generative AI model. This data retrieval uses the requests library to send HTTP requests, allowing the generative AI model to suggest more specific stretching methods and healthy habits to the user.

[0603] As a concrete example, consider a case where a user has been working on a computer for more than an hour continuously. The server measures the elapsed time, and when that time exceeds a threshold (for example, one hour), a pop-up appears on the device saying, "It's time to take a break. Why not try some simple stretches?" When the user clicks on this pop-up, the generative AI model asks, "What kind of stretches would you like to do? Also, are you concerned about anything, such as eye fatigue or back pain from sitting too long?" If the user answers, "eye fatigue," the generative AI model suggests a stretching method called "palm eye," and provides detailed instructions.

[0604] Example prompt: "The user is experiencing eye strain. Can you suggest specific stretches to relieve eye strain? Also, provide a routine that will be effective."

[0605] The system allows users to take breaks at appropriate times and receive specific health advice, enabling them to continue studying or working efficiently and in a healthy manner.

[0606] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0607] Program processing steps

[0608] Step 1: The server records the time when the user starts learning. Input: Trigger for start learning operation, user ID How it works: The server uses the datetime library to get the current time and records it in a database (e.g. MySQL) along with the user id. Output: The learning start time is recorded in the database. Specific operation: Executes datetime.now() to obtain the current time, and saves "The learning start time for user ID: 1234 is 2023-10-10 09:00:00."

[0609] Step 2: The server periodically checks whether a certain amount of time has passed. Input: Learning start time from database, current time How it works: Every 5 minutes the server calculates the difference between the start time and the current time and compares it to a threshold. This periodic check is performed by a cron job like time.sleep(300). Output: Result of judgment whether the elapsed time exceeds the threshold. Specific operation: Compare datetime.now() with the start time obtained from the database and determine that "the elapsed learning time for user ID: 1234 exceeds 1 hour."

[0610] Step 3: If the server exceeds the threshold, a pop-up notification is sent to the device. Input: The result that the elapsed time exceeded the threshold. Behavior: When a threshold is exceeded, the server generates a notification message using JavaScript or WebSocket and sends it to the device. Output: Send a popup notification message Specific operation: The server executes "Send a popup message to user ID: 1234" and sends a message to the terminal saying "It's time to take a break. Why not try doing some simple stretches?"

[0611] Step 4: The device displays a pop-up notification to the user. Input: Popup notification message from the server How it works: The device uses JavaScript to display the received message as a popup in the web browser. Output: The user sees a popup. Specific operation: The message received by the terminal from the server is displayed in a pop-up window in the browser.

[0612] Step 5: The user confirms the popup and begins interacting with the generative AI model. Input: Confirmation of popup notification, user response How it works: The user clicks on the popup to begin interacting with the generative AI model, which then begins natural language processing. Output: An interactive session with a generative AI model Specific behavior: The user clicks the “Accept break suggestion” button, and the generative AI model asks, “What kind of stretching would you like to do?”

[0613] Step 6: A generative AI model suggests appropriate stretches and healthy habits. Input: Questions and status from the user How it works: The generative AI model analyzes the user's responses and suggests specific stretches and health habits depending on the condition, such as eye fatigue or sitting too long. Natural language processing technology is used for this analysis and response generation. Output: Specific stretching methods and health habits suggestions How it works: When a user types, "I feel tired eyes," the generative AI model suggests a stretching method called "palm eye."

[0614] Step 7: The server retrieves the necessary information from external websites and provides it to the generative AI model. Input: User question, request for required information How it works: The server sends HTTP requests to retrieve data from external health information sites, then provides the retrieved information to the generative AI model. Output: Data obtained from outside What it does: It uses the requests library to search for "how to relieve eye strain" and gets information from trusted sites.

[0615] Step 8: The generative AI model displays suggestions to the user. Input: External information from the server, analysis results of the generative AI model How it works: The generative AI model uses the information it acquires to generate suggestions and displays them to the user. These are displayed in JavaScript and HTML. Output: Show suggestions Specific operation: The generative AI model will suggest detailed steps such as "Here's how to stretch your palm eye," and display them in a pop-up or new window.

[0616] This series of steps allows users to take breaks at the right time and receive specific health advice.

[0617] (Application example 1) 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."

[0618] In a working environment that includes humans and robots, continuous work for long periods of time can lead to reduced efficiency and health problems. In particular, robots in factories tend to operate continuously, leading to a lack of maintenance and a higher risk of breakdowns and reduced productivity. There is a need to solve this problem and provide an efficient and healthy working environment.

[0619] 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.

[0620] In this invention, the server includes a means for encouraging a user to take an appropriate break during a task, a means for measuring an elapsed time during the task, a means for displaying a pop-up when the elapsed time exceeds a preset threshold, a means for including a suggestion for stretching or resting in the pop-up, a natural language processing means for dialogue with the user, and a means for encouraging a robot to perform regular maintenance or refreshment using the pop-up as maintenance support for the robot in an industrial environment. This allows workers and robots to take breaks or perform maintenance at appropriate times, achieving both work efficiency and health management.

[0621] "User" refers to a human who operates the system or a robot that performs an action.

[0622] "Work" refers to a series of activities or operations performed by a user, especially operations including production and maintenance in a factory.

[0623] A "break" is a temporary interruption in continuous work, intended to reduce fatigue and improve work efficiency.

[0624] A "threshold" is a reference time for determining a particular condition, and when this time is exceeded, a particular action (for example, displaying a pop-up) is executed.

[0625] A "pop-up" is a notification or message that suddenly appears on the screen, prompting the user to provide specific information or take a specific action.

[0626] "Stretching" refers to exercises that involve stretching the body, particularly those aimed at relieving physical fatigue caused by working in the same position for long periods of time.

[0627] A "break" refers to a temporary interruption in work to refresh oneself, which is necessary in order to maintain work efficiency and recover from fatigue.

[0628] "Natural language processing" refers to the technology for understanding and generating human language, and to the means for conducting dialogue with users.

[0629] "Maintenance" refers to the work of inspecting and repairing robots and machines to ensure they function properly.

[0630] "Environmental information" refers to data about the surrounding situation and conditions in which a user or robot is working.

[0631] "Operating time information" refers to data regarding the amount of time a robot or machine is operating continuously.

[0632] This invention provides a system that measures a specific elapsed time and prompts users to take a break or perform maintenance at an appropriate time in order to balance the user's work efficiency and health management. The purpose of this system is to allow users to take appropriate breaks while working. It also includes a function to monitor the operating status of robots in factories and prompt them to perform regular maintenance.

[0633] The entire system is realized by the following hardware and software configuration:

[0634] Server: Measures the elapsed time and displays a popup if the threshold is exceeded. Uses a time measurement server implemented in Python.

[0635] Terminal: Receives pop-up notifications from the server and displays them to the user. Displays and monitors in the factory are used.

[0636] Generative AI: Realize natural language dialogue with users. For example, use generative AI models such as OpenAI ChatGPT.

[0637] External sites: Refer to specific health information and databases to provide more detailed stretching techniques and healthy habits.

[0638] The server measures the time that has elapsed since the user or robot started working. When the elapsed time exceeds a preset threshold, the server sends a pop-up message to the terminal. The terminal displays this pop-up on the user's display, encouraging the user to take a break or perform maintenance at an appropriate time.

[0639] In addition, the generative AI uses natural language processing to answer questions from users about their health and work, allowing them to receive advice on specific stretching techniques and how to maintain work efficiency.

[0640] As a concrete example, after the robot has worked for two hours, a pop-up appears, urging it to "It's time to stretch!" If the user asks, "I've been feeling tired lately. What should I do?", the generative AI responds, "When stretching, I recommend that you first rotate your shoulders. It is also important to take a break from your eyes."

[0641] Example prompts for generative AI models: User: I've been feeling really tired lately, what should I do? Assistant: When stretching, I recommend doing shoulder rotations first. Also, it's important to take eye breaks.

[0642] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0643] Step 1: The server receives input that records when a user or robot begins a task and starts a timer. The input data includes the timing of the task start and the identity of the user or robot. The timer measures the elapsed time and generates an output that is updated at regular intervals.

[0644] Step 2: The server checks the elapsed time based on a configured threshold (e.g. 2 hours). Inputs include the current elapsed time and the configured threshold. If the time exceeds the threshold, the server generates an output that generates a message to display in a popup.

[0645] Step 3: The terminal receives the popup message sent from the server and displays it to the user. The input includes the message data received from the server. Based on this data, the terminal outputs a message such as "It's time to stretch!" on the user's display.

[0646] Step 4: The user responds to the displayed popup by asking a natural language question, such as "I've been feeling tired lately. What should I do?". The input includes the user's voice or text question. The output is the data generated for this question.

[0647] Step 5: The server sends the user's question to the generative AI, which analyzes the received question data (input) and generates an appropriate answer. The output includes advice in generated natural language.

[0648] Step 6: Based on the user's question, the generative AI refers to external sites and internal databases to collect detailed information. This input includes the question content and the identification information of the database to be referenced. The generative AI processes this data to obtain an output that generates more specific advice.

[0649] Step 7: The server sends the generated advice to the device, which includes as input the advice data received from the generative AI. The device displays this data to the user and generates an output that provides appropriate stretching techniques and health care advice.

[0650] Specifically, when a user asks, "I've been feeling tired lately. What should I do?", the generative AI refers to the database and offers advice such as, "I recommend doing shoulder rotation exercises. It's also important to take eye breaks." This advice is displayed to the user via the device.

[0651] Example prompts for generative AI models: User: I've been feeling really tired lately, what should I do? Assistant: When stretching, I recommend doing shoulder rotations first. It's also important to take eye breaks.

[0652] In addition, an emotion engine that estimates the emotion of the user may be further combined. That is, the identification processing unit 290 may estimate the emotion of the user using the emotion identification model 59, and perform identification processing using the emotion of the user.

[0653] An embodiment for implementing the technology of the present disclosure includes the following elements.

[0654] 1. Server: A server with an emotion engine built in. The server has the function of recognizing the user's emotions and estimating the user's emotional state.

[0655] 2. Terminal: Has a function for receiving and displaying the popup sent from the server. The terminal has a function for customizing the contents of the popup and the types of stretching and light exercise suggested based on the user's emotional state.

[0656] 3. Generative AI: It has a natural language processing function to communicate with the user. The generative AI considers the user's emotional information obtained from the emotion engine and suggests appropriate advice and relaxation methods.

[0657] 4. External sites: These are various sites outside the system that the generative AI refers to when answering user questions. The server provides multimedia content such as music and video that matches the user's emotional state based on information obtained from external sites.

[0658] The system disclosed herein can be realized by combining the above elements. The server uses an emotion engine to recognize the user's emotions and estimate the emotional state. The terminal receives the pop-up sent from the server and displays customized information based on the user's emotional state. The generative AI suggests advice and relaxation methods tailored to the user's emotions through dialogue with the user, and provides multimedia content by utilizing information obtained from external sites.

[0659] According to this form, the system of the present disclosure can be implemented by combining a server, a terminal, a generative AI, and an external site.

[0660] The process flow will be explained below.

[0661] Step 1: The server recognizes the user's emotion. -The server analyzes the user's facial expressions and voice characteristics and uses an emotion engine to estimate the user's emotional state.

[0662] Step 2: The server generates the popup based on the sentiment. -The server generates popups to provide appropriate advice and relaxation methods based on the user's emotional state. For example, if the user is feeling stressed, the system will suggest ways to relax and relieve stress.

[0663] Step 3: The server generates a popup and sends it to the device. -The server sends the generated popup to the device. -The pop-up contains advice tailored to your emotions and ways to relax.

[0664] Step 4: The device receives and displays the popup. -The device receives the popup sent from the server. -Display the received popup on the device screen.

[0665] Step 5: User sees the popup and selects the appropriate action. -The user confirms the popup displayed on the device. -The pop-up displays advice and relaxation methods tailored to the user's emotions, allowing the user to choose the appropriate action. For example, if the user selects a relaxation method, the user relaxes according to the specific method displayed in the pop-up.

[0666] Step 6: The user initiates a dialogue with the generative AI. -After receiving the pop-up, the user begins interacting with the generative AI on their device. -Users ask emotion-related questions or concerns to the generative AI.

[0667] Step 7: The generative AI answers the user's question. -Generative AI generates appropriate answers to user questions. -The generative AI takes into account the user's emotional information obtained from the emotion engine and suggests appropriate advice and relaxation methods.

[0668] Step 8: The generative AI serves up multimedia content from external sites. -Generative AI uses information obtained from external sites to provide multimedia content such as music and video that matches the user's emotional state. For example, if a user needs to relax, the app will suggest relaxing music or videos.

[0669] The above are the processing steps of the server, terminal, user, and generative AI, and their respective specific operations.

[0670] Example 2 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".

[0671] In conventional user support systems, it is difficult to provide appropriate advice and relaxation methods that respond quickly to changes in emotions. In addition, there is a lack of content customized based on the user's emotional state and surrounding environment, which makes it difficult to achieve user satisfaction and effective stress reduction.

[0672] 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.

[0673] In this invention, the server includes a means for recognizing and estimating the user's emotional state, a means for generating and displaying a pop-up message based on the emotional state, a natural language processing means for interacting with the user, and a means for providing multimedia content that matches the user's emotional state based on data obtained from an external information source. This makes it possible to provide advice and relaxation methods that are in line with the user's emotions, and furthermore, by providing customized content based on the user's emotional state, it is possible to reduce the user's stress and increase their satisfaction.

[0674] "Means for recognizing and estimating emotional states" refers to technology that analyzes data such as the user's facial expressions and voice to identify and determine the emotions they are feeling at the time.

[0675] The "means for generating and displaying a pop-up message" is a function for automatically creating an appropriate message based on the user's emotional state and displaying it on the user's terminal.

[0676] "Natural language processing means" refers to technology for understanding inputs and questions from a user and generating appropriate responses in order to engage in dialogue with the user.

[0677] The "means for suggesting advice and relaxation methods according to the emotional state" is a function that analyzes the user's current emotional state and automatically provides appropriate advice and relaxation methods based on that state.

[0678] "Means for providing multimedia content tailored to the user's emotional state, based on data obtained from external information sources" refers to a function that utilizes information obtained from external databases and information sites to provide music, videos, and other content that is optimal for the user's emotional state.

[0679] The "database for recommending healthy habits" is a database that accumulates information that is useful for users to maintain their health and reduce stress.

[0680] The "means for acquiring surrounding environmental information" refers to technology for collecting environmental data such as temperature, humidity, and noise around the user.

[0681] The "means for acquiring user age information" refers to technology for collecting data regarding the user's age.

[0682] The "means for acquiring information regarding the user's emotional state and providing a response based on that information" refers to technology that measures the user's emotional state and provides appropriate advice or responses based on that information.

[0683] As an embodiment of the present invention, a system that recognizes the emotional state of a user and provides appropriate advice and relaxation methods based on the state will be described. The system is composed of a server, a terminal, a generative AI model, and an external information source.

[0684] server The server is equipped with an emotion engine and performs the main processing to recognize and estimate the user's emotional state. The server analyzes the data sent from the device and uses "OpenCV" as a facial recognition technology and "Google Cloud Speech-to-Text" as a voice analysis technology to identify the user's emotion.

[0685] Terminal The terminal is responsible for collecting input data from the user and sending it to the server. Examples of such devices include PCs, smartphones, and tablets. The terminal is equipped with a camera and microphone, and collects the user's face and voice in real time. It also has a function to display pop-up messages sent from the server.

[0686] Generative AI Models The generative AI model will engage in natural language dialogue with the user and suggest appropriate advice and relaxation methods based on the acquired emotional state, using natural language processing technologies such as "ChatGPT" and "DialogFlow" for this purpose.

[0687] external information sources The server retrieves multimedia content from external sources (databases and sites) and serves it according to the user's emotional state, for example, it can retrieve relaxing music from a music streaming site or meditation videos from a video platform.

[0688] Examples

[0689] emotion recognition When a user shows a facial expression in front of the device's camera, the device sends the image to the server, which uses OpenCV to analyze the user's facial expression and identify emotions such as "happiness," "sadness," and "anger."

[0690] Generate a popup message If the server estimates the user's emotional state as "tired," it generates a message saying "Take a 5-minute break and refresh yourself!" and sends it to the terminal. The terminal displays this message to the user.

[0691] Start a conversation When a user types "How can I relax?" into their device, the generative AI model suggests, "Why not try taking a deep breath today? Play some relaxing music?"

[0692] Acquiring external information If the user answers "yes," the server retrieves relaxing music from a music streaming site and sends the URL to the device, where the music is played and enjoyed by the user.

[0693] Examples of prompt statements

[0694] Here are some example prompts to feed to a generative AI model: User: I'm feeling really tired right now. Generative AI: That's tough. Try taking a five-minute break and doing some deep breathing and gentle stretching. Would you like to play some relaxing music? User: I'm really stressed out today. Generative AI: When you're stressed, take care of yourself. A good way to relax is to take a walk or meditate. Would you like to play a relaxing video?

[0695] In this way, the system can provide customized advice and content based on the user's emotional state.

[0696] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0697] Step 1: A user accesses a terminal. Specific operation: A user launches an application on the system using a smartphone or tablet. Input: User action (launch of application). Output: The camera and microphone are ready to be activated when the application is launched.

[0698] Step 2: The device collects the user's face and voice. How it works: The device's camera captures the user's face and the microphone records the user's voice. The collected data is sent to the server in real time. Input: User's facial video and audio data. Output: Transmission of video and audio data from the device to the server.

[0699] Step 3: The server recognizes and estimates the user's emotional state. Specific operation: The server analyzes the received facial image using "OpenCV" and the voice data using "Google Cloud Speech-to-Text", thereby estimating the user's emotional state (e.g., happiness, sadness, anger). Input: Facial image and audio data sent from the device. Output: User's emotional state data (e.g. "tired", "stressed").

[0700] Step 4: The server generates a popup message based on the emotional state. Specific behavior: The server generates an appropriate popup message based on the result of the emotion engine, for example, "Take a 5-minute break and refresh yourself!" Input: User emotional state data. Output: The generated popup message.

[0701] Step 5: The server sends a popup message to the terminal, which displays it. Specific operation: The server generates a message and sends it to the terminal, which displays it to the user as a popup. Input: Popup message. Output: A popup message that appears on the terminal.

[0702] Step 6: The generative AI model interacts with the user. How it works: When a user responds to a pop-up message, the generative AI model analyzes the response and takes appropriate action, such as providing tips on how to relax or advice. Input: The user's response. Output: The response message from the generative AI model.

[0703] Step 7: A server obtains multimedia content from an external information source and provides it to a terminal. How it works: The server retrieves content from external music streaming sites or video platforms and sends the URL or file to the device, which then plays it. Input: A request for multimedia content from an external source. Output: Multimedia content sent to a terminal and its playback.

[0704] Through these steps, the system can provide customized advice and relaxation methods based on the user's emotional state. While keeping the tone simple, we have explained in detail the specific actions taken at each step and the data input and output.

[0705] (Application example 2) 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".

[0706] Conventional learning support systems have a function that prompts users to take a break with a pop-up after a certain amount of time has passed in order to improve their learning efficiency, but because they do not take into account the user's emotional state, they have the problem of not being able to provide appropriate advice or content tailored to each user's individual situation. In addition, information or suggestions that are useful to a particular user may be counterproductive to other users, so more personalized support is required.

[0707] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for recognizing the user's emotion and estimating the emotional state, a means for displaying information customized based on the emotional state, and a natural language processing means for interacting with the user. This makes it possible to provide appropriate advice and relaxation methods according to the user's emotional state. In addition, multimedia content tailored to the emotional state can be provided based on information obtained from an external site, realizing more personalized support.

[0708] "Means for recognizing a user's emotions and estimating an emotional state" refers to technology that uses sensors and algorithms to detect the user's emotions and determine the user's current emotional state.

[0709] The "means for displaying information customized based on an emotional state" is a technology that automatically generates content that matches the emotional state of a user and displays it on the user's terminal.

[0710] The "natural language processing means for interacting with a user" refers to a natural language processing technology for understanding text or voice input by a user and generating an appropriate response.

[0711] "Means for providing multimedia content tailored to the user's emotional state, based on information obtained from external sites" refers to a technology that uses data obtained from external information sources on the Internet to generate and provide content such as music and video that corresponds to the user's emotions.

[0712] A "generative AI model" is a technology that uses a trained artificial intelligence model to generate dialogue and content that is appropriate to the user's emotions.

[0713] A "prompt sentence" is an input sentence given to a generative AI model, based on which an appropriate response or content is generated.

[0714] As an embodiment of the present invention, the system can be configured as follows.

[0715] The server is the main unit with an emotion engine that recognizes the user's emotions and estimates the user's emotional state. This server acquires the user's facial expressions and voice data using sensors such as cameras and microphones, and analyzes the user's emotions using the EmotionRecognition library. Based on the user's emotional information, the server also generates optimal multimedia content using the ContentRecommendation engine.

[0716] The terminal is a user interface device such as a smartphone. The terminal displays pop-ups sent from the server and provides the user with exercise suggestions and customized information based on the user's emotional state. For example, if the user is feeling stressed, the terminal displays music and images to help the user relax.

[0717] Generative AI models are used to engage in dialogue with users by utilizing natural language processing techniques. For example, models such as ChatGPT are used to generate relaxation methods and advice based on the user's emotional state. This AI model analyzes text and voice data entered by the user and generates appropriate responses. This allows users to have a pleasant experience through dialogue.

[0718] As a concrete example, if the emotion engine recognizes that the user is feeling stressed, it inputs the following prompt sentence into the generative AI model.

[0719] "You seem to be a bit stressed today. Let's take a deep breath together, and then I'll play some relaxing music. I hope it helps you feel a little refreshed."

[0720] Based on this prompt, the generative AI model suggests appropriate relaxation methods and music to the user.

[0721] The overall flow of the system is that the user uses the device, emotion recognition is performed, and the server provides appropriate content and dialogue based on the emotional state. In this process, generative AI models and information obtained from external sites are utilized to always provide the user with the optimal experience.

[0722] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0723] Step 1: The server captures facial expression and voice data through a camera and microphone to recognize the user's emotional state. The input data are the user's facial expression images and voice data. This data is analyzed using the EmotionRecognition library to estimate the user's emotional state (e.g., stress, anxiety, happiness, etc.). The output is the user's current emotional state.

[0724] Step 2: The server generates customized information based on the user's emotional state. The input is the emotional state estimated in step 1. This information includes relaxation methods and suitable activity suggestions. To generate this information, we use a ContentRecommendation engine. The output is specific relaxation methods and exercise suggestions tailored to the user's emotional state.

[0725] Step 3: The server sends customized information to the terminal based on the emotional state. The input is the customized information generated in step 2. The terminal receives this information and displays it to the user as a popup. The output is a popup message displayed on the terminal screen.

[0726] Step 4: The user practices relaxation techniques or exercises based on the suggestions displayed in the pop-up. During this time, the device observes the user's reactions and next actions. The input is the user's actions and reactions to the pop-up messages. The output is the data recorded based on the actions or the trigger for the next action.

[0727] Step 5: The server uses a generative AI model to perform natural language processing to interact with the user. The input is a question or comment from the user. Based on this input, the generative AI model generates an appropriate response, providing relaxation techniques and advice. The output is a response message generated in natural language.

[0728] Step 6: The server uses information obtained from external sites to provide multimedia content tailored to the emotional state. The input is the user's emotional state and a request based on it. Based on this request, the server retrieves relevant music and video from external sites. The output is customized multimedia content provided to the user.

[0729] Step 7: The terminal plays the multimedia content sent from the server and provides it to the user. The input is the multimedia content from the server. The terminal plays this content and provides the user with visual and auditory relaxation effects. The output is the multimedia content that the user watches or listens to.

[0730] 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 a voice indicating a user input for 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.

[0731] 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 making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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.

[0732] In the above embodiment, an example was given in which the specific process was performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the robot 414.

[0733] The emotion identification model 59 as an emotion engine may determine the emotion of the user according to a specific mapping. Specifically, the emotion identification model 59 may determine the emotion of the user according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the emotion of the robot, and the identification processing unit 290 may perform identification processing using the emotion of the robot.

[0734] FIG. 9 is a diagram showing 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. The closer to the center of the concentric circles, the more primitive emotions are arranged. The more outside the concentric circles, the more emotions that represent states and actions that arise from a state of mind are arranged. Emotions are a concept that includes emotions and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions that occur in the brain are arranged. On the right side of the concentric circles, emotions that are generally induced by situational judgment are arranged. On the upper and lower sides of the concentric circles, emotions that are generally generated from reactions that occur in the brain and are induced by situational judgment are arranged. In addition, on the upper side of the concentric circles, emotions of "pleasure" are arranged, and on the lower side, emotions of "discomfort" are arranged. In this way, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0735] These emotions are distributed in the three o'clock direction of emotion map 400 and usually 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.

[0736] The inside of emotion map 400 represents what is going on inside one's mind, and the outside of emotion map 400 represents behavior, so the further out you go on emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0737] Here, human emotions are based on various balances such as posture and blood sugar level, and when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. Emotions can also be created for robots, cars, motorcycles, etc., based on various balances such as posture and battery level, so that when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. The emotion map may be generated, for example, based on the emotion map of Dr. Mitsuyoshi (Research on speech emotion recognition and emotion brain physiological signal analysis system, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). On the left half of the emotion map, emotions belonging to an area called "reaction" where sensation is dominant are lined up. On the right half of the emotion map, emotions belonging to an area called "situation" where situation recognition is dominant are lined up.

[0738] The emotion map defines two emotions that promote learning. The first is the negative emotion around the middle of "repentance" or "remorse" on the situation side. In other words, this is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the positive emotion around "desire" on the response side. In other words, this is when the robot has positive feelings such as "I want more" or "I want to know more."

[0739] The emotion identification model 59 inputs the user input to a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the emotion of the user. This neural network is pre-trained based on multiple learning data that are combinations of the 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, "relief," "calm," and "encouraging," have similar emotion values.

[0740] Although the system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, the system according to the present disclosure is not necessarily implemented in 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 that runs on a personal computer, or an application that runs on a smartphone or the like. The method according to the present disclosure may be provided to a user in the form of SaaS (Software as a Service).

[0741] In the above embodiment, the elapsed time is the time elapsed from the start of the user's learning, but the present invention is not limited to this embodiment and may be set to every predetermined elapsed time, such as every two hours. Also, the threshold value may be variable based on the user's age information, environmental information, etc.

[0742] In the above embodiment, an example is 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 the external device may generate data according to input data.

[0743] 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 Universal Serial Bus (USB) 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.

[0744] In addition, 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 upon request from the data processing device 12.

[0745] 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.

[0746] The hardware resource for executing the specific process may be any of the following various 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. In addition, an example of a processor is a device that is specially designed to execute a specific process, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit).

[0747] A dedicated electrical circuit is a processor having a circuit configuration. Each processor has a built-in memory or is connected to the memory, and each processor executes a specific process by using the memory.

[0748] The hardware resource that executes the specific process may be one of these various processors, or may be 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 process may be a single processor.

[0749] As an example of a configuration using one 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 configuration in which a processor is used that realizes the functions of the 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.

[0750] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. Also, the above specific processing 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 changed within the scope of the gist.

[0751] The above description and illustrations are detailed descriptions 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, function, action, and effect is an example of the configuration, function, action, and effect 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 description and illustrations, within the scope of the gist of the technology of the present disclosure. In addition, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the above description and illustrations omit explanations of technical common sense that do not require explanation in order to enable the implementation of the technology of the present disclosure.

[0752] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or standard was specifically and individually indicated to be incorporated by reference.

[0753] The following is further disclosed regarding the above embodiment.

[0754] (Appendix 1) 1. A system for prompting a user to take appropriate breaks during his / her studies, comprising: A means for measuring an elapsed time in the learning; means for displaying a pop-up when the elapsed time exceeds a preset threshold; means for including exercise suggestions in said popup; A natural language processing means for interacting with the user; A system including:

[0755] (Appendix 2) means for answering questions from the user using the natural language processing means; a means for referring to a database for recommending healthy habits and using the natural language processing means to suggest a specific method of the exercise; 2. The system of claim 1, further comprising:

[0756] (Appendix 3) A means for acquiring environmental information surrounding the user; A means for acquiring age information of the user; A means for answering questions about the user's physical fatigue; means for recommending healthy habits based on at least one of the elapsed time, the environmental information, the age information, and the questions; 3. The system of claim 1 or 2, further comprising:

[0757] (Appendix 4) and further combining an emotion engine that recognizes the emotion of the user. 4. The system of claim 1,

[0758] (Appendix 5) The emotion engine analyzes the user's facial and vocal characteristics to estimate the user's emotional state. 5. The system of claim 4.

[0759] (Appendix 6) The emotion engine suggests appropriate advice or relaxation methods based on the user's emotional state. 6. The system of claim 4 or 5.

[0760] (Appendix 7) The emotion engine considers the user's emotional state to individually customize the contents of the popup and the types of stretching or light exercise suggested. 7. The system of any one of claims 4 to 6.

[0761] (Appendix 8) The emotion engine tracks changes in the user's emotional state and prompts breaks at appropriate times. 8. The system of any one of claims 4 to 7.

[0762] (Appendix 9) The emotion engine provides multimedia content such as music and video based on the user's emotional state to enhance the relaxation effect. 9. The system of any one of claims 4 to 8.

[0763] "Example 1" (Claim 1) A system for prompting a user to take an appropriate break during continuous learning, comprising: A means for measuring an elapsed time in the learning; means for displaying a pop-up when the elapsed time exceeds a preset threshold; means for including simple exercise suggestions in said popup; A natural language processing means for interacting with the user; means for answering questions from the user using the natural language processing means; A means for suggesting healthy habits using the natural language processing means; A system including:

[0764] (Claim 2) means for answering questions from the user using the natural language processing means; a means for referring to a database for recommending healthy habits and using the natural language processing means to suggest a specific method of the exercise; means for obtaining information from said external website; means for providing the acquired information to the natural language processing means; The system of claim 1 further comprising:

[0765] (Claim 3) A means for acquiring environmental information surrounding the user; A means for acquiring age information of the user; A means for answering questions about the user's physical fatigue; means for recommending healthy habits based on at least one of the elapsed time, the environmental information, the age information, and the questions; The system of claim 1 further comprising:

[0766] "Application example 1" (Claim 1) 1. A system for prompting a user to take appropriate breaks while the user is working, comprising: A means for measuring an elapsed time in the task; means for displaying a pop-up when the elapsed time exceeds a preset threshold; means for including suggestions for stretching and taking a break in said popup; A natural language processing means for interacting with the user; A means for encouraging the robot to perform regular maintenance or refreshment using the pop-up as a maintenance support for the robot in an industrial environment; A system including:

[0767] (Claim 2) means for answering questions from the user using the natural language processing means; a means for referring to a database for recommending healthy habits and using the natural language processing means to suggest a specific method of the stretching; The system of claim 1 further comprising:

[0768] (Claim 3) A means for acquiring environmental information surrounding the user; A means for acquiring operating time information of the robot; A means for proposing appropriate maintenance depending on the operating status of the robot; means for recommending healthy habits based on at least one of the elapsed time, the environmental information, the operating time information, and the maintenance suggestions; The system of claim 1 further comprising:

[0769] "Example 2 of combining emotion engines" (Claim 1) means for recognizing and estimating an emotional state of a user; means for generating and displaying a pop-up message based on said emotional state; A natural language processing means for interacting with the user; A means for suggesting advice or relaxation methods according to an emotional state by using the natural language processing means; means for providing multimedia content tailored to an emotional state based on data obtained from said external information source; A system including:

[0770] (Claim 2) means for answering questions from the user using the natural language processing means; A means for referring to the database for recommending healthy habits and suggesting a specific relaxation method; The system of claim 1 further comprising:

[0771] (Claim 3) A means for acquiring environmental information surrounding the user; A means for acquiring age information of the user; means for obtaining information about the emotional state of the user and providing a response based thereon; means for recommending healthy habits based on at least one of the elapsed time, the environmental information, the age information, and the emotional state information; 3. The system of claim 1 or claim 2, further comprising:

[0772] "Application example 2 when combining emotion engines" (Claim 1) 1. A system for prompting a user to take appropriate breaks during his / her studies, comprising: A means for measuring an elapsed time in the learning; means for displaying a pop-up when the elapsed time exceeds a preset threshold; means for including exercise suggestions in said popup; means for recognizing emotions and estimating an emotional state of the user; means for displaying customized information based on said emotional state; A natural language processing means for interacting with the user; A system including:

[0773] (Claim 2) means for answering questions from the user using the natural language processing means; a means for referring to a database for recommending healthy habits and using the natural language processing means to suggest a specific method of the exercise; means for providing multimedia content adapted to the emotional state of the user based on information obtained from an external site; The system of claim 1 further comprising:

[0774] (Claim 3) A means for acquiring environmental information surrounding the user; A means for acquiring age information of the user; A means for answering questions about the user's physical fatigue; means for recommending healthy habits based on at least one of the elapsed time, the environmental information, the age information, and the questions; A means for suggesting appropriate advice and relaxation methods using a generative AI model based on the user's emotional information; The system of claim 1 further comprising: [Explanation of symbols]

[0775] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A system for prompting a user to take appropriate breaks during the user's study, comprising: A means for measuring an elapsed time in the learning; means for displaying a pop-up containing exercise suggestions when the elapsed time exceeds a predetermined threshold; A natural language processing means for interacting with the user; means for presenting information to the user using the natural language processing means; A system including:

2. means for answering questions from the user using the natural language processing means; a means for referring to a database for recommending healthy habits and using the natural language processing means to suggest a specific method of the exercise; The system of claim 1 further comprising:

3. A means for acquiring environmental information surrounding the user; A means for acquiring age information of the user; A means for answering questions about the user's physical fatigue; means for recommending healthy habits based on at least one of the elapsed time, the environmental information, the age information, and the questions; The system of claim 1 or claim 2, further comprising:

4. means for recognizing and estimating an emotional state of a user; means for displaying a pop-up message generated based on said emotional state; A natural language processing means for interacting with the user; a means for suggesting advice or a relaxation method according to the emotional state by using the natural language processing means; A system including:

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