system

Abstract

We provide the system. [Solution] A means of using generative artificial intelligence to analyze the user's emotions and thoughts and provide empathetic dialogue content, A means of proposing relaxation techniques tailored to the user's psychological state based on user data collected in advance, A means of monitoring the user's activity status and visually representing the progress towards achieving set psychological goals, A means of providing a way to contact experts when it is determined that the user's condition is critical, A means of collaborating with resources within a smart urban environment to propose activities best suited to the user, A means of providing a visual and concrete experience of relaxation methods using augmented reality technology, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, many people are stressed and anxious and need psychological support, but there is a problem that it is not easy to consult an expert due to cost and time constraints. Therefore, there is a demand for a system that allows anyone to easily and efficiently receive mental health support. In addition, it is a requirement that it be available 24 hours a day while ensuring anonymity in particular.

Means for Solving the Problems

[0005] This invention constructs a means of providing interactive counseling by utilizing generative artificial intelligence to analyze the user's emotions and thoughts and generate empathetic dialogue. It also includes a means of suggesting relaxation methods tailored to the user's psychological state to promote stress reduction. Furthermore, it has a function to visualize and manage the progress of psychological goals set by the user, supporting the improvement of psychological health. In emergencies, it provides a means of contacting a specialist and realizes a system that can facilitate appropriate intervention. As a result, users can easily receive mental health care 24 hours a day while maintaining anonymity.

[0006] "Generative artificial intelligence" is a type of artificial intelligence that can generate natural language based on user input and create appropriate responses.

[0007] "Means for analyzing users' emotions and thoughts" refers to processes and technologies for understanding a user's psychological state by reading their emotional and thought patterns from data and input information they provide.

[0008] "Means of providing empathetic dialogue content" refers to methods and functions for generating empathetic dialogue tailored to the user's psychological state and providing support and counseling.

[0009] "Means of proposing relaxation techniques" refers to the process and function of proposing the optimal relaxation technique according to the user's psychological state and needs.

[0010] "Means of visually representing progress" refers to a system or tool that presents the degree of achievement or progress toward goals set by the user in a visual format such as graphs or charts.

[0011] "Means of providing a means of contacting experts" refers to processes and technologies that quickly provide necessary contact information and details so that users can receive appropriate professional support in emergencies.

[0012] "Maintaining anonymity" means protecting users' personal information from being identified and ensuring their privacy.

[0013] "Enabling 24-hour continuous psychological support" refers to the characteristic of a system that allows users to receive psychological support at any time, without being restricted by time or date. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Example 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Embodiments for Carrying Out the Invention

[0015] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described according to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc.

[0018] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] This invention is a system that provides mental health support to users using a series of means. Specific embodiments are described below.

[0036] The system starts its service based on information entered by the user through the terminal. The user first enters anonymous information, such as a nickname, to join the system. The terminal sends this information to the server, which registers it in the database while maintaining the user's anonymity.

[0037] Next, when a user desires counseling, they submit a request through their device saying, "I'd like to talk." Upon receiving this request, the server uses its built-in generative artificial intelligence to analyze the user's input data. The server then performs an emotional analysis to determine the user's psychological state. The server then generates an empathetic and supportive dialogue and sends it back to the device. The device presents this dialogue to the user, who receives psychological support through the system.

[0038] Furthermore, if a user requests suggestions for relaxation techniques, the server assesses the user's psychological and physical state and selects an appropriate relaxation method. For example, if the server determines that the user is under high stress, it will suggest breathing exercises and provide specific instructions via the terminal, allowing the user to follow the guidance and reduce stress.

[0039] Monitoring users' daily progress is also a crucial part of the process. Based on the psychological goals set by the user, the server collects and analyzes daily activity data. By visualizing the results and providing feedback to the user through their device, it enables them to check their progress and reset their goals.

[0040] Furthermore, in emergencies, the server continuously monitors the user's status and, if it detects a serious issue, provides a means of contacting the appropriate specialist. This ensures that users receive prompt professional assistance.

[0041] For example, suppose a user continuously records their daily stress level, and one day a high stress level is suddenly reported. In this case, the server can detect the anomaly and notify the user's terminal of information regarding contact with a specialist. This is a specific embodiment of the present invention, which provides users with 24-hour psychological support.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The user launches the application through their device and enters a nickname and basic information. The device sends this information to the server, which registers it in a database while maintaining anonymity.

[0045] Step 2:

[0046] If a user wishes to receive counseling, they type "I want to talk" into the device. The device sends this request to the server. The server uses generative artificial intelligence to analyze the received data, examining the user's emotions and thoughts.

[0047] Step 3:

[0048] Based on the analysis results, the server generates empathetic and supportive dialogue appropriate to the user's psychological state. The generated dialogue is sent to the terminal, which then presents the dialogue to the user and conducts counseling.

[0049] Step 4:

[0050] If a user desires relaxation, they type "I want to relax." The device transmits this information to the server, which evaluates the user's current state data. The server then selects an appropriate relaxation technique and sends instructions to the device.

[0051] Step 5:

[0052] The terminal, based on instructions from the server, presents the user with specific relaxation methods. For example, it can guide the user through breathing exercises, which the user can then perform.

[0053] Step 6:

[0054] When checking the user's progress toward their psychological goals, the terminal receives a request from the user. The server analyzes the data collected up to that point and visualizes the progress in a graph format.

[0055] Step 7:

[0056] The analyzed progress data is sent to the device, which then presents it to the user. The user can check their progress toward their goals and revise them as needed.

[0057] Step 8:

[0058] In emergencies, the server monitors user data in real time. If an anomaly is detected, the server sends information to the user's terminal providing instructions on how to contact a specialist.

[0059] Step 9:

[0060] The device displays the received emergency contact information to the user, allowing the user to receive prompt assistance as needed.

[0061] (Example 1)

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

[0063] Mental health support is a crucial issue for many people, but there is a lack of systems that provide prompt and appropriate psychological support 24 hours a day, especially while maintaining anonymity. Furthermore, accurately assessing a user's psychological state and providing personalized support based on that assessment is difficult. There is also a need to develop a system that can detect users in crisis situations early and provide necessary professional support quickly.

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

[0065] This invention includes a server that uses generative artificial intelligence to analyze emotions and thoughts and provides empathetic dialogue, a server that proposes relaxation techniques based on pre-collected information, a server that monitors user activity and visually represents progress, a server that contacts experts for users in crisis situations, and a server that maintains anonymity and enables 24-hour continuous psychological support. This makes it possible to provide users with prompt and appropriate mental health support.

[0066] "Generative artificial intelligence" is a technology that analyzes emotions and thoughts based on user input and generates appropriate responses and suggestions in real time.

[0067] "Sentiment analysis" is a process that analyzes a user's text data and behavioral data to determine their emotional state and psychological tendencies at that time.

[0068] "Relaxation techniques" is a general term for methods and techniques suggested to users to alleviate psychological and physical tension.

[0069] "Anonymity" refers to a state in which users can use a service without disclosing their personal information.

[0070] A "critical situation" refers to a state in which the user is exposed to significant psychological or physical stress or risk.

[0071] "Visual representation" is a method of displaying information and data in the form of graphs, charts, and other formats to allow users to understand them intuitively.

[0072] This invention is a mental health support system that utilizes generative artificial intelligence to provide users with rapid and appropriate psychological support. The embodiments of this system will be described in detail below.

[0073] The system primarily consists of servers and terminals. Users access the system through terminals and participate by entering anonymous information (e.g., a nickname). This information is sent from the terminal to the server, which registers it in a database while maintaining anonymity.

[0074] The server incorporates a generative AI model that receives text data from users and performs sentiment analysis. In this process, natural language processing technology is used to analyze the user's emotions and psychological state. Based on the analysis results, the server automatically generates empathetic and supportive dialogue and sends it back to the user's device. This process allows users to receive real-time psychological support.

[0075] Furthermore, if the user requests suggestions for relaxation techniques, the server assesses the user's current psychological and physical state. Based on this assessment, the server selects appropriate stress-relief techniques and suggests specific methods for their implementation to the user via the terminal.

[0076] One concrete example of the system is a feature that allows users to input their daily emotional state, and when the server detects signs of high stress, it provides guidance on breathing exercises and meditation. Furthermore, if a user enters a prompt such as "Please tell me some specific ways to relieve stress," they can receive relevant information.

[0077] These features enable the present invention to be implemented as a system that efficiently provides psychological support to users while maintaining anonymity on a 24-hour basis.

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

[0079] Step 1:

[0080] The user uses a terminal to input anonymous information into the system. This input includes basic information such as a nickname and areas of interest. The terminal captures this information and sends it to the server. The server registers the received information in its database while maintaining anonymity. In this step, data processing such as receiving and storing information takes place, and the information is stored as anonymous data.

[0081] Step 2:

[0082] The user enters a request to "consult" through their device. The device sends this request to the server. The server uses a generative AI model to analyze the user's input and perform sentiment analysis. Using natural language processing techniques, it determines the user's psychological state from the received text data and generates an empathetic dialogue based on that. The generated dialogue content is then sent back to the device as output.

[0083] Step 3:

[0084] The user enters a request from the terminal asking for suggestions for relaxation techniques. The terminal sends the request to the server. The server analyzes the user's psychological and physical state data and selects an appropriate relaxation method. Specifically, it determines the optimal relaxation technique based on numerical data of stress levels. This result is sent to the terminal, and the specific method is presented to the user.

[0085] Step 4:

[0086] Users regularly input activity data into their devices. For example, they might input their daily emotional state or stress levels. The devices send this data to a server. The server analyzes the accumulated data and visually represents progress towards set psychological goals. This process includes data analysis and visualization, and the output is presented to the user in the form of a progress report.

[0087] Step 5:

[0088] The server continuously monitors user activity and emotional data. If it determines that the user's condition is critical, it provides a means to contact a specialist. In particular, when abnormal data patterns are detected, it immediately sends a warning to the terminal and, if necessary, provides information on how to contact the appropriate specialist. This output prepares the user for prompt professional assistance.

[0089] (Application Example 1)

[0090] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0091] In modern society, mental health problems among residents are increasing, and there is a need for efficient and sustainable means of support. Furthermore, there is a lack of systems that can respond immediately while maintaining anonymity, making it a challenge to provide an environment where residents can easily resolve their psychological problems. In addition, it is necessary to provide effective psychological support in conjunction with the urban environment in which users live.

[0092] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0093] This invention includes a server that uses generative artificial intelligence to analyze the user's emotions and thoughts and provides empathetic dialogue; a server that proposes relaxation methods tailored to the user's psychological state based on pre-collected user data; and a server that collaborates with resources within a smart urban environment to propose activities best suited to the user. This enables 24-hour mental health support while maintaining anonymity and collaborating with the urban environment in which the user lives.

[0094] "Generative artificial intelligence" is an algorithm that analyzes user input data, evaluates their emotional state, and generates natural dialogue and appropriate information.

[0095] "Relaxation techniques" refer to a collection of training methods and techniques proposed with the aim of alleviating the psychological and physical state of users and reducing stress.

[0096] A "smart urban environment" refers to a city where information technology and infrastructure are integrated, and efficient lifestyle support services are provided.

[0097] Augmented reality technology is a technology that uses computers to overlay information onto the real world, allowing users to experience a visual blend of reality and virtual reality.

[0098] "Anonymity" refers to a characteristic that protects users' personal information and prevents them from being identified.

[0099] The system for realizing this invention is based on client terminals such as smartphones and smart glasses, a server that utilizes generative artificial intelligence, and access to a smart urban environment.

[0100] The server uses generative artificial intelligence to analyze the emotions and thoughts that users input through their client terminals. The main software used for this analysis includes TENSORFLOW®, a natural language processing technology, and Python, a data analysis tool. This allows the server to assess the user's psychological state and generate empathetic dialogue. This generated dialogue is then sent to the client terminal and presented to the user.

[0101] Furthermore, based on the user's preferences, the server references the user's data and suggests appropriate relaxation techniques. These suggested techniques are then provided to the user via the client terminal. For example, augmented reality technology can be used to overlay virtual guidelines onto the real world, providing a visually enhanced relaxation experience. The server continuously collects and analyzes the user's daily activity data, visually displaying progress toward goals.

[0102] For example, if a user inputs "I'm feeling very anxious right now," the server analyzes that emotional data and immediately suggests a realistic breathing exercise guide as AR content for relaxation.

[0103] Examples of prompts for a generative AI model:

[0104] "Based on the emotional data entered by the user, generate activities optimized for stress reduction. The user's state is 'tension,' and the recommended activities are aimed at relaxation."

[0105] These features allow the system to provide 24 / 7 mental health support to users while maintaining anonymity.

[0106] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0107] Step 1:

[0108] Users input emotions and thoughts through their devices. This input data is sent to the server in text format. The server receives this data and preprocesses it through natural language processing. Preprocessing includes text standardization, tokenization, and calculation of emotion scores. This process prepares the input for emotion classification.

[0109] Step 2:

[0110] The server uses a generative AI model to analyze the user's emotional state based on pre-processed data. By creating prompts and inputting them into the generative AI model, empathetic dialogue is generated. The output here is a dialogue in natural language that takes the user's psychological state into account. This dialogue is designed to alleviate the user's emotions.

[0111] Step 3:

[0112] The server references the user's data and selects a relaxation technique. The optimal technique is determined based on the user's current emotional state and past data. For example, if the user is experiencing high stress, breathing exercises might be selected. The selected method is then sent to the terminal. A detailed relaxation guide is generated as output.

[0113] Step 4:

[0114] The device presents the user with dialogue and relaxation techniques received from the server. The user can receive psychological support by participating in the dialogue and following the instructions. During this process, the device can also record the user's interactions and provide feedback to the server.

[0115] Step 5:

[0116] The server collects and analyzes users' daily activity data and visualizes their progress. This analysis uses user log entries and activity records, and the analysis results are visualized and sent to the user's device for presentation. This allows users to check their progress and reset their goals.

[0117] Step 6:

[0118] The server continuously monitors the user's status and, if a critical situation is detected, immediately provides a means of contacting a specialist. Pre-registered contact information is used to facilitate a rapid connection between the user and the specialist, enabling a quick response.

[0119] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0120] This invention is a mental health support system that combines an emotion engine and generative artificial intelligence, aiming to provide appropriate psychological support while analyzing the user's emotions. This system mainly consists of a terminal, a server, and an emotion engine.

[0121] The user accesses the system through a terminal. The system first asks the user to enter basic information such as a nickname in order to collect initial information from the user. The terminal sends this information to the server, which stores it in a database while maintaining anonymity.

[0122] When a user requests counseling, they type "I want to talk" into the terminal. At this time, the terminal collects emotional data from the user's voice and facial expressions. An emotion engine analyzes this data to identify the user's emotional state. The identified emotions are transferred to a server, where generative artificial intelligence generates a dialogue based on the user's emotions.

[0123] The generated dialogue is empathetic and personalized, and the device presents this content to the user. Through the dialogue, the user can process their emotions. For example, if a user is feeling anxious, the emotion engine detects this, and the generative artificial intelligence generates a response to alleviate the anxiety.

[0124] Furthermore, when a user requests relaxation, the device sends a request to the server. The server evaluates the user's psychological state based on the emotion analysis results from the emotion engine and selects an appropriate relaxation method. For example, if stress is detected, breathing exercises may be suggested.

[0125] In progress management, the emotion engine collects daily emotional data from users and evaluates their progress toward psychological goals. The server visualizes this data as graphs and charts and provides it to the user via their device.

[0126] Furthermore, if an emergency situation is detected, for example, if the user expresses emotions suggesting deep distress, the emotion engine will recognize this. Based on this information, the server will send a notification to the device providing a means of contacting a specialist.

[0127] Thus, the system of the present invention can provide users with more accurate and effective psychological support through the collaboration of an emotion engine and generative artificial intelligence.

[0128] The following describes the processing flow.

[0129] Step 1:

[0130] The user operates the terminal, launches the application, and enters basic information such as a nickname. The terminal anonymizes this information and sends it to the server. The server receives the data and stores it in a database while maintaining anonymity.

[0131] Step 2:

[0132] When a user wishes to consult, they type "I want to consult" into the terminal. The terminal sends the user's voice and facial expressions to the emotion engine, which analyzes their emotional state. The emotion engine generates the analysis results and sends the obtained emotional data to the server.

[0133] Step 3:

[0134] The server provides emotional data obtained from the emotion engine to the generative artificial intelligence. The generative AI generates empathetic dialogue based on the user's emotions. This dialogue is personalized to provide the most appropriate support for the user.

[0135] Step 4:

[0136] The generated dialogue content is sent from the server to the terminal. The terminal presents the content to the user, who can receive psychological support through the dialogue. For example, if the emotion engine detects the user's anxiety, the generative artificial intelligence generates a message to alleviate that anxiety.

[0137] Step 5:

[0138] If a user desires relaxation, they type "I want to relax" into the device. The device sends this request to the server, which evaluates the user's state based on data from its emotion engine. Based on the evaluation, the server selects an appropriate relaxation method.

[0139] Step 6:

[0140] The server sends the selected relaxation technique to the terminal. The terminal presents the suggested method to the user, providing specific guidance such as, "Let's try deep breathing." The user follows these instructions to reduce stress.

[0141] Step 7:

[0142] The server continuously monitors the user's progress data and evaluates the progress based on emotional information collected through the emotion engine. The server then processes this data into graphs and delivers them to the terminal.

[0143] Step 8:

[0144] The terminal receives progress data from the server and displays it to the user as graphs and charts. This allows the user to check their progress toward their psychological goals and, if necessary, reset their goals.

[0145] Step 9:

[0146] In the event of an emergency, the emotion engine detects the user's serious emotional state. Based on this information, the server sends instructions to the terminal to provide a means of quickly contacting a specialist.

[0147] Step 10:

[0148] The terminal follows instructions from the server and presents the user with contact information for specialists. Users can then receive prompt and appropriate support as needed.

[0149] (Example 2)

[0150] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0151] In modern society, the number of individuals experiencing psychological stress and anxiety is increasing, and there is a need to provide appropriate psychological support in a timely manner. Furthermore, this support needs to be individualized according to the emotional state and psychological needs of each user. However, conventional systems have difficulty accurately analyzing emotional states and generating individualized dialogues, and may not be able to effectively provide psychological support to users. In addition, there is a lack of mechanisms that enable appropriate responses to emergencies to be made quickly, which is also a challenge.

[0152] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0153] In this invention, the server includes means for analyzing the user's emotions using generative artificial intelligence and generating empathetic and personalized dialogue content, means for identifying emotions using voice and facial expression data collected from the user, and means for selecting and proposing relaxation techniques that are appropriate to the user's psychological state based on pre-collected user data according to the identified emotions. This makes it possible to generate accurate dialogue and propose relaxation techniques that are appropriate to the user's emotional state.

[0154] "Generative artificial intelligence" is a technology that understands human natural language based on input data and generates responses and dialogues based on that understanding.

[0155] "Emotional analysis" is a method of identifying a person's psychological state and type of emotion using voice and facial expression data obtained from the user.

[0156] "Personalized dialogue content" refers to responses and dialogue that are tailored based on each user's emotional state and background information.

[0157] "Relaxation techniques" refer to various methods and methods offered with the aim of improving the psychological state of users and reducing stress.

[0158] "Visually representing the progress towards achieving psychological goals" means displaying the user's progress toward achieving their set psychological goals using visual means such as graphs and charts.

[0159] An "emergency situation" refers to a situation in which a user is judged to be experiencing serious psychological problems or a critical emotional state.

[0160] "Means of contacting experts" refers to communication methods that allow users to quickly seek help from psychology experts or medical professionals when an emergency situation is recognized.

[0161] This invention is a mental health support system that combines an emotion engine and generative artificial intelligence, aiming to provide appropriate psychological support while analyzing the user's emotions. This system mainly consists of a terminal, a server, and an emotion engine.

[0162] Users access the system through a terminal and first enter basic information such as a nickname. This information is sent to the server and stored in a database while maintaining anonymity. If a user wishes to receive counseling, they type "I want to talk" into the terminal, and the terminal collects emotional data from the user's voice, facial expressions, etc.

[0163] The emotion engine analyzes this data to identify the user's emotional state. This analysis utilizes input devices such as the device's microphone and camera, and the collected audio and video data is processed. The emotional state identified by the emotion engine is then transmitted to the server. The server uses a generative AI model to generate dialogue that responds to the user's emotions based on the prompt text.

[0164] For example, prompts such as "How are you feeling today?" or "Do you need any support to relax?" are used. The generated dialogue is empathetic and personalized, and is presented to the user through the device.

[0165] Furthermore, when a user requests relaxation, the server selects an appropriate relaxation method based on the results of the emotion analysis. For example, if the user is perceived as stressed, breathing exercises may be suggested.

[0166] In progress management, the emotion engine collects daily emotional data and evaluates the degree of achievement of psychological goals. The server visualizes this information as graphs and charts and provides it to the user via the terminal.

[0167] In emergencies, if a serious emotional state is detected, the server sends a notification to the terminal providing a means of contacting a specialist, enabling a rapid response. Through this mechanism, the system enables accurate and effective psychological support for the user.

[0168] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0169] Step 1:

[0170] The user accesses the system using a terminal and enters basic information, including a nickname. The terminal receives this information and sends it to the server. The input at this time is basic information such as the user's nickname, and the output is stored in the database in an anonymized form. The terminal performs the action of sending the input to the server.

[0171] Step 2:

[0172] The user enters "I want to talk" into the device, requesting counseling. The device uses a microphone and camera to collect the user's voice and facial expressions. This collected data is used as input for analysis by the emotion engine. The output is data indicating the user's emotional state. The device performs actions to collect audio and video data.

[0173] Step 3:

[0174] The server receives voice and facial expression data transmitted from the terminal and analyzes it using an emotion engine. Voice and facial expression data are used as input, and the user's emotional state is identified based on the analysis of voice tone and facial expression changes. The output is data of the emotional state identified through the analysis. The server performs the operation of analyzing emotions.

[0175] Step 4:

[0176] The server uses analyzed emotion data and a generative AI model to generate dialogue based on prompts. Using emotion states and pre-configured prompts as input, it generates empathetic dialogue tailored to the user as output. The server then personalizes the generated dialogue for each user.

[0177] Step 5:

[0178] The server sends the generated dialogue to the terminal. The terminal receives it and presents it to the user. The input is the generated dialogue, and the output is the dialogue displayed on the user's terminal. The terminal performs the action of displaying the dialogue.

[0179] Step 6:

[0180] When a user requests relaxation, a request is sent from the device to the server. The server selects an appropriate relaxation method based on the emotion analysis results. The input is the user's request and emotion data, and the output is a specific relaxation suggestion. The server then guides the user through the selected relaxation method.

[0181] Step 7:

[0182] The server evaluates the user's progress toward achieving their psychological goals through daily data collection by the emotion engine, and visualizes this progress as graphs and charts. The input is the collected emotion data, and the output is the visualized progress. The server performs the operation of evaluating and visualizing the progress.

[0183] Step 8:

[0184] If the emotion engine detects an emergency situation, the server sends a notification to the terminal providing a means of contacting a specialist. The input is the detected emergency emotion data, and the output is notification information for contacting a specialist. The server then performs the action of sending the notification.

[0185] (Application Example 2)

[0186] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0187] In modern society, the number of people suffering from psychological problems such as stress and anxiety is increasing. However, obtaining individualized care and professional psychological support on a daily basis is difficult, creating a need for immediate and appropriate psychological support within the home environment. Furthermore, there is a growing need for a system that allows users to receive optimal support tailored to their individual psychological state while remaining in their own homes.

[0188] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0189] In this invention, the server includes means for analyzing the user's emotions and thoughts using generative artificial intelligence and providing empathetic dialogue content, means for suggesting relaxation methods tailored to the user's psychological state based on pre-collected user data, and means including an interactive device for real-time emotional monitoring within the home and providing psychological support. This makes it possible for users to receive appropriate psychological support immediately, even in a home environment.

[0190] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates empathetic and effective dialogue content based on data about the user's emotions and thoughts.

[0191] "Emotional and thought analysis" is a process that uses an emotion engine to analyze data obtained from the user's voice, facial expressions, etc., to identify the user's psychological state.

[0192] "Empathic dialogue content" refers to individualized dialogue content that takes into account the user's feelings and psychological state, and is generated to promote emotional understanding.

[0193] "Relaxation techniques" refer to suggested methods and practices for promoting stress reduction and relaxation according to the user's psychological state.

[0194] "Real-time emotion monitoring" refers to a system function that continuously acquires data on the user's facial expressions and voice in a home environment and instantly analyzes their emotional state using an emotion engine.

[0195] A "conversational device" is a device designed to interact with users within the home, enabling responses based on the collection and analysis of emotional data.

[0196] The system that realizes this invention mainly consists of a terminal, a server, and an emotion engine. The terminal is an interactive device installed in the home and serves as the interface with the user. Through this, it collects emotional data such as the user's voice and facial expressions and transmits it to the server.

[0197] The server analyzes the received emotional data using an emotion engine to identify the user's psychological state. This analysis uses emotion analysis tools such as the Affectiva SDK. Based on the analysis results, a generative AI model (generative artificial intelligence) is used to generate conversational content suitable for the user. This AI model may include, for example, OpenAI's GPT-4®.

[0198] The generated dialogue is empathetic and personalized, and is transferred from the server to the terminal. The terminal outputs this content and presents it to the user through voice and display. If the user is experiencing anxiety or stress, the system can suggest relaxation techniques such as breathing exercises or playing relaxing music.

[0199] Furthermore, it includes features that constantly monitor the user's condition and provide a means of contacting specialists in emergencies. This allows users to receive appropriate psychological support and gain a sense of security from the comfort of their own homes.

[0200] As a concrete example, if a user starts feeling stressed while relaxing in their living room on a holiday, the device will quietly suggest, "You seem a little tired. Would you like to relax?" and if the user agrees, it will start playing soothing music. Such dialogue is generated by a generative AI model based on the prompt message, "The emotion engine has detected that the user is feeling stressed. Please generate empathetic and relaxing dialogue."

[0201] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0202] Step 1:

[0203] The device collects the user's voice and facial expressions using its camera and microphone. The input is the user's real-time voice and facial expressions, which are captured by the device as emotion data. The output consists of audio data and image data.

[0204] Step 2:

[0205] The terminal sends the collected audio and image data to the server. The input is the audio and image data obtained in step 1, and this data is received by the server upon transmission. The output is the emotion data on the server.

[0206] Step 3:

[0207] The server analyzes the received audio and image data using the emotion engine. The input is the audio and image data sent to the server in step 2, and the emotion engine processes the data to identify the user's emotional state. The output is the analyzed emotional state data.

[0208] Step 4:

[0209] The server uses a generative AI model to generate dialogue content based on the analyzed emotional state. The input is the emotional state data obtained in step 3, and the generative AI model uses prompt sentences to generate empathetic dialogue content. The generated dialogue content is obtained as output.

[0210] Step 5:

[0211] The server sends the generated dialogue content to the terminal. The input is the dialogue content generated in step 4, which the terminal receives upon transmission from the server. The output is the dialogue content on the terminal.

[0212] Step 6:

[0213] The terminal presents the received dialogue content to the user through audio equipment and a display. The input is the dialogue content received in step 5, and the dialogue content is conveyed to the user through audio output and screen display. The output is the audio and visual information received by the user.

[0214] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0215] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0216] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0217] [Second Embodiment]

[0218] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0219] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0220] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0221] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0222] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0223] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0224] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0225] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0226] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0227] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0228] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0229] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0230] This invention is a system that provides mental health support to users using a series of means. Specific embodiments are described below.

[0231] The system starts its service based on information entered by the user through the terminal. The user first enters anonymous information, such as a nickname, to join the system. The terminal sends this information to the server, which registers it in the database while maintaining the user's anonymity.

[0232] Next, when a user desires counseling, they submit a request through their device saying, "I'd like to talk." Upon receiving this request, the server uses its built-in generative artificial intelligence to analyze the user's input data. The server then performs an emotional analysis to determine the user's psychological state. The server then generates an empathetic and supportive dialogue and sends it back to the device. The device presents this dialogue to the user, who receives psychological support through the system.

[0233] Furthermore, if a user requests suggestions for relaxation techniques, the server assesses the user's psychological and physical state and selects an appropriate relaxation method. For example, if the server determines that the user is under high stress, it will suggest breathing exercises and provide specific instructions via the terminal, allowing the user to follow the guidance and reduce stress.

[0234] Monitoring users' daily progress is also a crucial part of the process. Based on the psychological goals set by the user, the server collects and analyzes daily activity data. By visualizing the results and providing feedback to the user through their device, it enables them to check their progress and reset their goals.

[0235] Furthermore, in emergencies, the server continuously monitors the user's status and, if it detects a serious issue, provides a means of contacting the appropriate specialist. This ensures that users receive prompt professional assistance.

[0236] For example, suppose a user continuously records their daily stress level, and one day a high stress level is suddenly reported. In this case, the server can detect the anomaly and notify the user's terminal of information regarding contact with a specialist. This is a specific embodiment of the present invention, which provides users with 24-hour psychological support.

[0237] The following describes the processing flow.

[0238] Step 1:

[0239] The user launches the application through their device and enters a nickname and basic information. The device sends this information to the server, which registers it in a database while maintaining anonymity.

[0240] Step 2:

[0241] If a user wishes to receive counseling, they type "I want to talk" into the device. The device sends this request to the server. The server uses generative artificial intelligence to analyze the received data, examining the user's emotions and thoughts.

[0242] Step 3:

[0243] Based on the analysis results, the server generates empathetic and supportive dialogue appropriate to the user's psychological state. The generated dialogue is sent to the terminal, which then presents the dialogue to the user and conducts counseling.

[0244] Step 4:

[0245] If a user desires relaxation, they type "I want to relax." The device transmits this information to the server, which evaluates the user's current state data. The server then selects an appropriate relaxation technique and sends instructions to the device.

[0246] Step 5:

[0247] The terminal, based on instructions from the server, presents the user with specific relaxation methods. For example, it can guide the user through breathing exercises, which the user can then perform.

[0248] Step 6:

[0249] When checking the user's progress toward their psychological goals, the terminal receives a request from the user. The server analyzes the data collected up to that point and visualizes the progress in a graph format.

[0250] Step 7:

[0251] The analyzed progress data is sent to the device, which then presents it to the user. The user can check their progress toward their goals and revise them as needed.

[0252] Step 8:

[0253] In emergencies, the server monitors user data in real time. If an anomaly is detected, the server sends information to the user's terminal providing instructions on how to contact a specialist.

[0254] Step 9:

[0255] The device displays the received emergency contact information to the user, allowing the user to receive prompt assistance as needed.

[0256] (Example 1)

[0257] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0258] Mental health support is a crucial issue for many people, but there is a lack of systems that provide prompt and appropriate psychological support 24 hours a day, especially while maintaining anonymity. Furthermore, accurately assessing a user's psychological state and providing personalized support based on that assessment is difficult. There is also a need to develop a system that can detect users in crisis situations early and provide necessary professional support quickly.

[0259] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0260] This invention includes a server that uses generative artificial intelligence to analyze emotions and thoughts and provides empathetic dialogue, a server that proposes relaxation techniques based on pre-collected information, a server that monitors user activity and visually represents progress, a server that contacts experts for users in crisis situations, and a server that maintains anonymity and enables 24-hour continuous psychological support. This makes it possible to provide users with prompt and appropriate mental health support.

[0261] "Generative artificial intelligence" is a technology that analyzes emotions and thoughts based on user input and generates appropriate responses and suggestions in real time.

[0262] "Sentiment analysis" is a process that analyzes a user's text data and behavioral data to determine their emotional state and psychological tendencies at that time.

[0263] "Relaxation techniques" is a general term for methods and techniques suggested to users to alleviate psychological and physical tension.

[0264] "Anonymity" refers to a state in which users can use a service without disclosing their personal information.

[0265] A "critical situation" refers to a state in which the user is exposed to significant psychological or physical stress or risk.

[0266] "Visual representation" is a method of displaying information and data in the form of graphs, charts, and other formats to allow users to understand them intuitively.

[0267] This invention is a mental health support system that utilizes generative artificial intelligence to provide users with rapid and appropriate psychological support. The embodiments of this system will be described in detail below.

[0268] The system primarily consists of servers and terminals. Users access the system through terminals and participate by entering anonymous information (e.g., a nickname). This information is sent from the terminal to the server, which registers it in a database while maintaining anonymity.

[0269] The server incorporates a generative AI model that receives text data from users and performs sentiment analysis. In this process, natural language processing technology is used to analyze the user's emotions and psychological state. Based on the analysis results, the server automatically generates empathetic and supportive dialogue and sends it back to the user's device. This process allows users to receive real-time psychological support.

[0270] Furthermore, if the user requests suggestions for relaxation techniques, the server assesses the user's current psychological and physical state. Based on this assessment, the server selects appropriate stress-relief techniques and suggests specific methods for their implementation to the user via the terminal.

[0271] One concrete example of the system is a feature that allows users to input their daily emotional state, and when the server detects signs of high stress, it provides guidance on breathing exercises and meditation. Furthermore, if a user enters a prompt such as "Please tell me some specific ways to relieve stress," they can receive relevant information.

[0272] These features enable the present invention to be implemented as a system that efficiently provides psychological support to users while maintaining anonymity on a 24-hour basis.

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

[0274] Step 1:

[0275] The user uses a terminal to input anonymous information into the system. This input includes basic information such as a nickname and areas of interest. The terminal captures this information and sends it to the server. The server registers the received information in its database while maintaining anonymity. In this step, data processing such as receiving and storing information takes place, and the information is stored as anonymous data.

[0276] Step 2:

[0277] The user enters a request to "consult" through their device. The device sends this request to the server. The server uses a generative AI model to analyze the user's input and perform sentiment analysis. Using natural language processing techniques, it determines the user's psychological state from the received text data and generates an empathetic dialogue based on that. The generated dialogue content is then sent back to the device as output.

[0278] Step 3:

[0279] The user enters a request from the terminal asking for suggestions for relaxation techniques. The terminal sends the request to the server. The server analyzes the user's psychological and physical state data and selects an appropriate relaxation method. Specifically, it determines the optimal relaxation technique based on numerical data of stress levels. This result is sent to the terminal, and the specific method is presented to the user.

[0280] Step 4:

[0281] Users regularly input activity data into their devices. For example, they might input their daily emotional state or stress levels. The devices send this data to a server. The server analyzes the accumulated data and visually represents progress towards set psychological goals. This process includes data analysis and visualization, and the output is presented to the user in the form of a progress report.

[0282] Step 5:

[0283] The server continuously monitors the user's activities and emotional data. When it determines that the user's state is a critical situation, it provides means to contact an expert. In particular, when detecting an abnormal data pattern, it immediately sends a warning to the terminal and presents contact information for the appropriate expert if necessary. This output prepares for receiving prompt professional support.

[0284] (Application Example 1)

[0285] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0286] In modern society, the problem of residents' mental health is increasing, and means to support this efficiently and sustainably are required. Also, since there is a lack of a system that can respond immediately while maintaining anonymity, it is an issue to provide an environment where the psychological problems of residents can be easily solved. Furthermore, it is necessary to cooperate with the urban environment where the user lives and provide effective psychological support.

[0287] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0288] In this invention, the server includes means for analyzing the user's emotions and thoughts using generative artificial intelligence and providing empathic conversation content, means for proposing relaxation techniques according to the user's psychological state based on the user's data collected in advance, and means for cooperating with resources in a smart urban environment and proposing optimal activities for the user. Thereby, it becomes possible to support mental health 24 hours a day while cooperating with the urban environment where the user lives and maintaining anonymity.

[0289] "Generative artificial intelligence" is an algorithm that can analyze the user's input data, evaluate the emotional state, and generate natural conversations and appropriate information.

[0290] "Relaxation techniques" refer to a collection of training methods and techniques proposed with the aim of alleviating the psychological and physical state of users and reducing stress.

[0291] A "smart urban environment" refers to a city where information technology and infrastructure are integrated, and efficient lifestyle support services are provided.

[0292] Augmented reality technology is a technology that uses computers to overlay information onto the real world, allowing users to experience a visual blend of reality and virtual reality.

[0293] "Anonymity" refers to a characteristic that protects users' personal information and prevents them from being identified.

[0294] The system for realizing this invention is based on client terminals such as smartphones and smart glasses, a server that utilizes generative artificial intelligence, and access to a smart urban environment.

[0295] The server uses generative artificial intelligence to analyze the emotions and thoughts that users input through their client terminals. The primary software used for this analysis includes TensorFlow, which provides natural language processing technology, and Python, a data analysis tool. This allows the server to assess the user's psychological state and generate empathetic dialogue. This generated dialogue is then sent to the client terminal and presented to the user.

[0296] Furthermore, based on the user's preferences, the server references the user's data and suggests appropriate relaxation techniques. These suggested techniques are then provided to the user via the client terminal. For example, augmented reality technology can be used to overlay virtual guidelines onto the real world, providing a visually enhanced relaxation experience. The server continuously collects and analyzes the user's daily activity data, visually displaying progress toward goals.

[0297] For example, if a user inputs "I'm feeling very anxious right now," the server analyzes that emotional data and immediately suggests a realistic breathing exercise guide as AR content for relaxation.

[0298] Examples of prompts for a generative AI model:

[0299] "Based on the emotional data entered by the user, generate activities optimized for stress reduction. The user's state is 'tension,' and the recommended activities are aimed at relaxation."

[0300] These features allow the system to provide 24 / 7 mental health support to users while maintaining anonymity.

[0301] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0302] Step 1:

[0303] Users input emotions and thoughts through their devices. This input data is sent to the server in text format. The server receives this data and preprocesses it through natural language processing. Preprocessing includes text standardization, tokenization, and calculation of emotion scores. This process prepares the input for emotion classification.

[0304] Step 2:

[0305] The server uses a generative AI model to analyze the user's emotional state based on pre-processed data. By creating prompts and inputting them into the generative AI model, empathetic dialogue is generated. The output here is a dialogue in natural language that takes the user's psychological state into account. This dialogue is designed to alleviate the user's emotions.

[0306] Step 3:

[0307] The server refers to the user's data and selects a relaxation method. At this time, the optimal method is determined based on the user's current emotional state and past data. For example, when stress is high, the breathing method is selected. The selected content is sent to the terminal. As output, a specific relaxation guide is generated.

[0308] Step 4:

[0309] The terminal presents the dialogue text and relaxation method received from the server to the user. The user can participate in the dialogue and obtain psychological support by following the instructions. In this process, the terminal can also record the user's interaction and provide feedback to the server.

[0310] Step 5:

[0311] The server collects and analyzes the user's daily activity data and visualizes the progress. This analysis uses the user's log input and action records, and the analysis results are visualized and sent to the terminal for presentation to the user. Thereby, the user can confirm their progress and reset their goals.

[0312] Step 6:

[0313] The server continuously monitors the user's state and, when detecting a crisis situation, immediately presents means of contacting an expert. Here, the pre-registered contact information is utilized to assist in the rapid connection between the user and the expert. This enables a rapid response.

[0314] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion specific model 59 and perform specific processing using the user's emotion.

[0315] This invention is a mental health support system that combines an emotion engine and generative artificial intelligence, aiming to provide appropriate psychological support while analyzing the user's emotions. This system mainly consists of a terminal, a server, and an emotion engine.

[0316] The user accesses the system through a terminal. The system first asks the user to enter basic information such as a nickname in order to collect initial information from the user. The terminal sends this information to the server, which stores it in a database while maintaining anonymity.

[0317] When a user requests counseling, they type "I want to talk" into the terminal. At this time, the terminal collects emotional data from the user's voice and facial expressions. An emotion engine analyzes this data to identify the user's emotional state. The identified emotions are transferred to a server, where generative artificial intelligence generates a dialogue based on the user's emotions.

[0318] The generated dialogue is empathetic and personalized, and the device presents this content to the user. Through the dialogue, the user can process their emotions. For example, if a user is feeling anxious, the emotion engine detects this, and the generative artificial intelligence generates a response to alleviate the anxiety.

[0319] Furthermore, when a user requests relaxation, the device sends a request to the server. The server evaluates the user's psychological state based on the emotion analysis results from the emotion engine and selects an appropriate relaxation method. For example, if stress is detected, breathing exercises may be suggested.

[0320] In progress management, the emotion engine collects daily emotional data from users and evaluates their progress toward psychological goals. The server visualizes this data as graphs and charts and provides it to the user via their device.

[0321] Furthermore, if an emergency situation is detected, for example, if the user expresses emotions suggesting deep distress, the emotion engine will recognize this. Based on this information, the server will send a notification to the device providing a means of contacting a specialist.

[0322] Thus, the system of the present invention can provide users with more accurate and effective psychological support through the collaboration of an emotion engine and generative artificial intelligence.

[0323] The following describes the processing flow.

[0324] Step 1:

[0325] The user operates the terminal, launches the application, and enters basic information such as a nickname. The terminal anonymizes this information and sends it to the server. The server receives the data and stores it in a database while maintaining anonymity.

[0326] Step 2:

[0327] When a user wishes to consult, they type "I want to consult" into the terminal. The terminal sends the user's voice and facial expressions to the emotion engine, which analyzes their emotional state. The emotion engine generates the analysis results and sends the obtained emotional data to the server.

[0328] Step 3:

[0329] The server provides emotional data obtained from the emotion engine to the generative artificial intelligence. The generative AI generates empathetic dialogue based on the user's emotions. This dialogue is personalized to provide the most appropriate support for the user.

[0330] Step 4:

[0331] The generated dialogue content is sent from the server to the terminal. The terminal presents the content to the user, who can receive psychological support through the dialogue. For example, if the emotion engine detects the user's anxiety, the generative artificial intelligence generates a message to alleviate that anxiety.

[0332] Step 5:

[0333] If a user desires relaxation, they type "I want to relax" into the device. The device sends this request to the server, which evaluates the user's state based on data from its emotion engine. Based on the evaluation, the server selects an appropriate relaxation method.

[0334] Step 6:

[0335] The server sends the selected relaxation technique to the terminal. The terminal presents the suggested method to the user, providing specific guidance such as, "Let's try deep breathing." The user follows these instructions to reduce stress.

[0336] Step 7:

[0337] The server continuously monitors the user's progress data and evaluates the progress based on emotional information collected through the emotion engine. The server then processes this data into graphs and delivers them to the terminal.

[0338] Step 8:

[0339] The terminal receives progress data from the server and displays it to the user as graphs and charts. This allows the user to check their progress toward their psychological goals and, if necessary, reset their goals.

[0340] Step 9:

[0341] In the event of an emergency, the emotion engine detects the user's serious emotional state. Based on this information, the server sends instructions to the terminal to provide a means of quickly contacting a specialist.

[0342] Step 10:

[0343] The terminal follows instructions from the server and presents the user with contact information for specialists. Users can then receive prompt and appropriate support as needed.

[0344] (Example 2)

[0345] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0346] In modern society, the number of individuals experiencing psychological stress and anxiety is increasing, and there is a need to provide appropriate psychological support in a timely manner. Furthermore, this support needs to be individualized according to the emotional state and psychological needs of each user. However, conventional systems have difficulty accurately analyzing emotional states and generating individualized dialogues, and may not be able to effectively provide psychological support to users. In addition, there is a lack of mechanisms that enable appropriate responses to emergencies to be made quickly, which is also a challenge.

[0347] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0348] In this invention, the server includes means for analyzing the user's emotions using generative artificial intelligence and generating empathetic and personalized dialogue content, means for identifying emotions using voice and facial expression data collected from the user, and means for selecting and proposing relaxation techniques that are appropriate to the user's psychological state based on pre-collected user data according to the identified emotions. This makes it possible to generate accurate dialogue and propose relaxation techniques that are appropriate to the user's emotional state.

[0349] "Generative artificial intelligence" is a technology that understands human natural language based on input data and generates responses and dialogues based on that understanding.

[0350] "Emotional analysis" is a method of identifying a person's psychological state and type of emotion using voice and facial expression data obtained from the user.

[0351] "Personalized dialogue content" refers to responses and dialogue that are tailored based on each user's emotional state and background information.

[0352] "Relaxation techniques" refer to various methods and methods offered with the aim of improving the psychological state of users and reducing stress.

[0353] "Visually representing the progress towards achieving psychological goals" means displaying the user's progress toward achieving their set psychological goals using visual means such as graphs and charts.

[0354] An "emergency situation" refers to a situation in which a user is judged to be experiencing serious psychological problems or a critical emotional state.

[0355] "Means of contacting experts" refers to communication methods that allow users to quickly seek help from psychology experts or medical professionals when an emergency situation is recognized.

[0356] This invention is a mental health support system that combines an emotion engine and generative artificial intelligence, aiming to provide appropriate psychological support while analyzing the user's emotions. This system mainly consists of a terminal, a server, and an emotion engine.

[0357] Users access the system through a terminal and first enter basic information such as a nickname. This information is sent to the server and stored in a database while maintaining anonymity. If a user wishes to receive counseling, they type "I want to talk" into the terminal, and the terminal collects emotional data from the user's voice, facial expressions, etc.

[0358] The emotion engine analyzes this data to identify the user's emotional state. This analysis utilizes input devices such as the device's microphone and camera, and the collected audio and video data is processed. The emotional state identified by the emotion engine is then transmitted to the server. The server uses a generative AI model to generate dialogue that responds to the user's emotions based on the prompt text.

[0359] For example, prompts such as "How are you feeling today?" or "Do you need any support to relax?" are used. The generated dialogue is empathetic and personalized, and is presented to the user through the device.

[0360] Furthermore, when a user requests relaxation, the server selects an appropriate relaxation method based on the results of the emotion analysis. For example, if the user is perceived as stressed, breathing exercises may be suggested.

[0361] In progress management, the emotion engine collects daily emotional data and evaluates the degree of achievement of psychological goals. The server visualizes this information as graphs and charts and provides it to the user via the terminal.

[0362] In emergencies, if a serious emotional state is detected, the server sends a notification to the terminal providing a means of contacting a specialist, enabling a rapid response. Through this mechanism, the system enables accurate and effective psychological support for the user.

[0363] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0364] Step 1:

[0365] The user accesses the system using a terminal and enters basic information, including a nickname. The terminal receives this information and sends it to the server. The input at this time is basic information such as the user's nickname, and the output is stored in the database in an anonymized form. The terminal performs the action of sending the input to the server.

[0366] Step 2:

[0367] The user enters "I want to talk" into the device, requesting counseling. The device uses a microphone and camera to collect the user's voice and facial expressions. This collected data is used as input for analysis by the emotion engine. The output is data indicating the user's emotional state. The device performs actions to collect audio and video data.

[0368] Step 3:

[0369] The server receives voice and facial expression data transmitted from the terminal and analyzes it using an emotion engine. Voice and facial expression data are used as input, and the user's emotional state is identified based on the analysis of voice tone and facial expression changes. The output is data of the emotional state identified through the analysis. The server performs the operation of analyzing emotions.

[0370] Step 4:

[0371] The server uses analyzed emotion data and a generative AI model to generate dialogue based on prompts. Using emotion states and pre-configured prompts as input, it generates empathetic dialogue tailored to the user as output. The server then personalizes the generated dialogue for each user.

[0372] Step 5:

[0373] The server sends the generated dialogue to the terminal. The terminal receives it and presents it to the user. The input is the generated dialogue, and the output is the dialogue displayed on the user's terminal. The terminal performs the action of displaying the dialogue.

[0374] Step 6:

[0375] When a user requests relaxation, a request is sent from the device to the server. The server selects an appropriate relaxation method based on the emotion analysis results. The input is the user's request and emotion data, and the output is a specific relaxation suggestion. The server then guides the user through the selected relaxation method.

[0376] Step 7:

[0377] The server evaluates the user's progress toward achieving their psychological goals through daily data collection by the emotion engine, and visualizes this progress as graphs and charts. The input is the collected emotion data, and the output is the visualized progress. The server performs the operation of evaluating and visualizing the progress.

[0378] Step 8:

[0379] If the emotion engine detects an emergency situation, the server sends a notification to the terminal providing a means of contacting a specialist. The input is the detected emergency emotion data, and the output is notification information for contacting a specialist. The server then performs the action of sending the notification.

[0380] (Application Example 2)

[0381] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0382] In modern society, the number of people suffering from psychological problems such as stress and anxiety is increasing. However, obtaining individualized care and professional psychological support on a daily basis is difficult, creating a need for immediate and appropriate psychological support within the home environment. Furthermore, there is a growing need for a system that allows users to receive optimal support tailored to their individual psychological state while remaining in their own homes.

[0383] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0384] In this invention, the server includes means for analyzing the user's emotions and thoughts using generative artificial intelligence and providing empathetic dialogue content, means for suggesting relaxation methods tailored to the user's psychological state based on pre-collected user data, and means including an interactive device for real-time emotional monitoring within the home and providing psychological support. This makes it possible for users to receive appropriate psychological support immediately, even in a home environment.

[0385] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates empathetic and effective dialogue content based on data about the user's emotions and thoughts.

[0386] "Emotional and thought analysis" is a process that uses an emotion engine to analyze data obtained from the user's voice, facial expressions, etc., to identify the user's psychological state.

[0387] "Empathic dialogue content" refers to individualized dialogue content that takes into account the user's feelings and psychological state, and is generated to promote emotional understanding.

[0388] "Relaxation techniques" refer to suggested methods and practices for promoting stress reduction and relaxation according to the user's psychological state.

[0389] "Real-time emotion monitoring" refers to a system function that continuously acquires data on the user's facial expressions and voice in a home environment and instantly analyzes their emotional state using an emotion engine.

[0390] A "conversational device" is a device designed to interact with users within the home, enabling responses based on the collection and analysis of emotional data.

[0391] The system that realizes this invention mainly consists of a terminal, a server, and an emotion engine. The terminal is an interactive device installed in the home and serves as the interface with the user. Through this, it collects emotional data such as the user's voice and facial expressions and transmits it to the server.

[0392] The server uses an emotion engine to analyze the received emotion data and identify the user's psychological state. This analysis uses emotion analysis tools such as the Affectiva SDK. Based on the analysis results, a generative AI model (generative artificial intelligence) is used to generate conversational content appropriate for the user. For example, OpenAI's GPT-4 is used for this AI model.

[0393] The generated dialogue is empathetic and personalized, and is transferred from the server to the terminal. The terminal outputs this content and presents it to the user through voice and display. If the user is experiencing anxiety or stress, the system can suggest relaxation techniques such as breathing exercises or playing relaxing music.

[0394] Furthermore, it includes features that constantly monitor the user's condition and provide a means of contacting specialists in emergencies. This allows users to receive appropriate psychological support and gain a sense of security from the comfort of their own homes.

[0395] As a concrete example, if a user starts feeling stressed while relaxing in their living room on a holiday, the device will quietly suggest, "You seem a little tired. Would you like to relax?" and if the user agrees, it will start playing soothing music. Such dialogue is generated by a generative AI model based on the prompt message, "The emotion engine has detected that the user is feeling stressed. Please generate empathetic and relaxing dialogue."

[0396] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0397] Step 1:

[0398] The device collects the user's voice and facial expressions using its camera and microphone. The input is the user's real-time voice and facial expressions, which are captured by the device as emotion data. The output consists of audio data and image data.

[0399] Step 2:

[0400] The terminal sends the collected audio and image data to the server. The input is the audio and image data obtained in step 1, and this data is received by the server upon transmission. The output is the emotion data on the server.

[0401] Step 3:

[0402] The server analyzes the received audio and image data using the emotion engine. The input is the audio and image data sent to the server in step 2, and the emotion engine processes the data to identify the user's emotional state. The output is the analyzed emotional state data.

[0403] Step 4:

[0404] The server uses a generative AI model to generate dialogue content based on the analyzed emotional state. The input is the emotional state data obtained in step 3, and the generative AI model uses prompt sentences to generate empathetic dialogue content. The generated dialogue content is obtained as output.

[0405] Step 5:

[0406] The server sends the generated dialogue content to the terminal. The input is the dialogue content generated in step 4, which the terminal receives upon transmission from the server. The output is the dialogue content on the terminal.

[0407] Step 6:

[0408] The terminal presents the received dialogue content to the user through audio equipment and a display. The input is the dialogue content received in step 5, and the dialogue content is conveyed to the user through audio output and screen display. The output is the audio and visual information received by the user.

[0409] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0410] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0411] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0412] [Third Embodiment]

[0413] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0414] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0415] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0416] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0417] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0418] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0419] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0420] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0421] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0422] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0423] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0424] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0425] This invention is a system that provides mental health support to users using a series of means. Specific embodiments are described below.

[0426] The system starts its service based on information entered by the user through the terminal. The user first enters anonymous information, such as a nickname, to join the system. The terminal sends this information to the server, which registers it in the database while maintaining the user's anonymity.

[0427] Next, when a user desires counseling, they submit a request through their device saying, "I'd like to talk." Upon receiving this request, the server uses its built-in generative artificial intelligence to analyze the user's input data. The server then performs an emotional analysis to determine the user's psychological state. The server then generates an empathetic and supportive dialogue and sends it back to the device. The device presents this dialogue to the user, who receives psychological support through the system.

[0428] Furthermore, if a user requests suggestions for relaxation techniques, the server assesses the user's psychological and physical state and selects an appropriate relaxation method. For example, if the server determines that the user is under high stress, it will suggest breathing exercises and provide specific instructions via the terminal, allowing the user to follow the guidance and reduce stress.

[0429] Monitoring users' daily progress is also a crucial part of the process. Based on the psychological goals set by the user, the server collects and analyzes daily activity data. By visualizing the results and providing feedback to the user through their device, it enables them to check their progress and reset their goals.

[0430] Furthermore, in emergencies, the server continuously monitors the user's status and, if it detects a serious issue, provides a means of contacting the appropriate specialist. This ensures that users receive prompt professional assistance.

[0431] For example, suppose a user continuously records their daily stress level, and one day a high stress level is suddenly reported. In this case, the server can detect the anomaly and notify the user's terminal of information regarding contact with a specialist. This is a specific embodiment of the present invention, which provides users with 24-hour psychological support.

[0432] The following describes the processing flow.

[0433] Step 1:

[0434] The user launches the application through their device and enters a nickname and basic information. The device sends this information to the server, which registers it in a database while maintaining anonymity.

[0435] Step 2:

[0436] If a user wishes to receive counseling, they type "I want to talk" into the device. The device sends this request to the server. The server uses generative artificial intelligence to analyze the received data, examining the user's emotions and thoughts.

[0437] Step 3:

[0438] Based on the analysis results, the server generates empathetic and supportive dialogue appropriate to the user's psychological state. The generated dialogue is sent to the terminal, which then presents the dialogue to the user and conducts counseling.

[0439] Step 4:

[0440] If a user desires relaxation, they type "I want to relax." The device transmits this information to the server, which evaluates the user's current state data. The server then selects an appropriate relaxation technique and sends instructions to the device.

[0441] Step 5:

[0442] The terminal, based on instructions from the server, presents the user with specific relaxation methods. For example, it can guide the user through breathing exercises, which the user can then perform.

[0443] Step 6:

[0444] When checking the user's progress toward their psychological goals, the terminal receives a request from the user. The server analyzes the data collected up to that point and visualizes the progress in a graph format.

[0445] Step 7:

[0446] The analyzed progress data is sent to the device, which then presents it to the user. The user can check their progress toward their goals and revise them as needed.

[0447] Step 8:

[0448] In emergencies, the server monitors user data in real time. If an anomaly is detected, the server sends information to the user's terminal providing instructions on how to contact a specialist.

[0449] Step 9:

[0450] The device displays the received emergency contact information to the user, allowing the user to receive prompt assistance as needed.

[0451] (Example 1)

[0452] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0453] Mental health support is a crucial issue for many people, but there is a lack of systems that provide prompt and appropriate psychological support 24 hours a day, especially while maintaining anonymity. Furthermore, accurately assessing a user's psychological state and providing personalized support based on that assessment is difficult. There is also a need to develop a system that can detect users in crisis situations early and provide necessary professional support quickly.

[0454] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0455] This invention includes a server that uses generative artificial intelligence to analyze emotions and thoughts and provides empathetic dialogue, a server that proposes relaxation techniques based on pre-collected information, a server that monitors user activity and visually represents progress, a server that contacts experts for users in crisis situations, and a server that maintains anonymity and enables 24-hour continuous psychological support. This makes it possible to provide users with prompt and appropriate mental health support.

[0456] "Generative artificial intelligence" is a technology that analyzes emotions and thoughts based on user input and generates appropriate responses and suggestions in real time.

[0457] "Sentiment analysis" is a process that analyzes a user's text data and behavioral data to determine their emotional state and psychological tendencies at that time.

[0458] "Relaxation techniques" is a general term for methods and techniques suggested to users to alleviate psychological and physical tension.

[0459] "Anonymity" refers to a state in which users can use a service without disclosing their personal information.

[0460] A "critical situation" refers to a state in which the user is exposed to significant psychological or physical stress or risk.

[0461] "Visual representation" is a method of displaying information and data in the form of graphs, charts, and other formats to allow users to understand them intuitively.

[0462] This invention is a mental health support system that utilizes generative artificial intelligence to provide users with rapid and appropriate psychological support. The embodiments of this system will be described in detail below.

[0463] The system primarily consists of servers and terminals. Users access the system through terminals and participate by entering anonymous information (e.g., a nickname). This information is sent from the terminal to the server, which registers it in a database while maintaining anonymity.

[0464] The server incorporates a generative AI model that receives text data from users and performs sentiment analysis. In this process, natural language processing technology is used to analyze the user's emotions and psychological state. Based on the analysis results, the server automatically generates empathetic and supportive dialogue and sends it back to the user's device. This process allows users to receive real-time psychological support.

[0465] Furthermore, if the user requests suggestions for relaxation techniques, the server assesses the user's current psychological and physical state. Based on this assessment, the server selects appropriate stress-relief techniques and suggests specific methods for their implementation to the user via the terminal.

[0466] One concrete example of the system is a feature that allows users to input their daily emotional state, and when the server detects signs of high stress, it provides guidance on breathing exercises and meditation. Furthermore, if a user enters a prompt such as "Please tell me some specific ways to relieve stress," they can receive relevant information.

[0467] These features enable the present invention to be implemented as a system that efficiently provides psychological support to users while maintaining anonymity on a 24-hour basis.

[0468] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0469] Step 1:

[0470] The user uses a terminal to input anonymous information into the system. This input includes basic information such as a nickname and areas of interest. The terminal captures this information and sends it to the server. The server registers the received information in its database while maintaining anonymity. In this step, data processing such as receiving and storing information takes place, and the information is stored as anonymous data.

[0471] Step 2:

[0472] The user enters a request to "consult" through their device. The device sends this request to the server. The server uses a generative AI model to analyze the user's input and perform sentiment analysis. Using natural language processing techniques, it determines the user's psychological state from the received text data and generates an empathetic dialogue based on that. The generated dialogue content is then sent back to the device as output.

[0473] Step 3:

[0474] The user enters a request from the terminal asking for suggestions for relaxation techniques. The terminal sends the request to the server. The server analyzes the user's psychological and physical state data and selects an appropriate relaxation method. Specifically, it determines the optimal relaxation technique based on numerical data of stress levels. This result is sent to the terminal, and the specific method is presented to the user.

[0475] Step 4:

[0476] Users regularly input activity data into their devices. For example, they might input their daily emotional state or stress levels. The devices send this data to a server. The server analyzes the accumulated data and visually represents progress towards set psychological goals. This process includes data analysis and visualization, and the output is presented to the user in the form of a progress report.

[0477] Step 5:

[0478] The server continuously monitors user activity and emotional data. If it determines that the user's condition is critical, it provides a means to contact a specialist. In particular, when abnormal data patterns are detected, it immediately sends a warning to the terminal and, if necessary, provides information on how to contact the appropriate specialist. This output prepares the user for prompt professional assistance.

[0479] (Application Example 1)

[0480] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0481] In modern society, mental health problems among residents are increasing, and there is a need for efficient and sustainable means of support. Furthermore, there is a lack of systems that can respond immediately while maintaining anonymity, making it a challenge to provide an environment where residents can easily resolve their psychological problems. In addition, it is necessary to provide effective psychological support in conjunction with the urban environment in which users live.

[0482] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0483] This invention includes a server that uses generative artificial intelligence to analyze the user's emotions and thoughts and provides empathetic dialogue; a server that proposes relaxation methods tailored to the user's psychological state based on pre-collected user data; and a server that collaborates with resources within a smart urban environment to propose activities best suited to the user. This enables 24-hour mental health support while maintaining anonymity and collaborating with the urban environment in which the user lives.

[0484] "Generative artificial intelligence" is an algorithm that analyzes user input data, evaluates their emotional state, and generates natural dialogue and appropriate information.

[0485] "Relaxation techniques" refer to a collection of training methods and techniques proposed with the aim of alleviating the psychological and physical state of users and reducing stress.

[0486] A "smart urban environment" refers to a city where information technology and infrastructure are integrated, and efficient lifestyle support services are provided.

[0487] Augmented reality technology is a technology that uses computers to overlay information onto the real world, allowing users to experience a visual blend of reality and virtual reality.

[0488] "Anonymity" refers to a characteristic that protects users' personal information and prevents them from being identified.

[0489] The system for realizing this invention is based on client terminals such as smartphones and smart glasses, a server that utilizes generative artificial intelligence, and access to a smart urban environment.

[0490] The server uses generative artificial intelligence to analyze the emotions and thoughts that users input through their client terminals. The primary software used for this analysis includes TensorFlow, which provides natural language processing technology, and Python, a data analysis tool. This allows the server to assess the user's psychological state and generate empathetic dialogue. This generated dialogue is then sent to the client terminal and presented to the user.

[0491] Furthermore, based on the user's preferences, the server references the user's data and suggests appropriate relaxation techniques. These suggested techniques are then provided to the user via the client terminal. For example, augmented reality technology can be used to overlay virtual guidelines onto the real world, providing a visually enhanced relaxation experience. The server continuously collects and analyzes the user's daily activity data, visually displaying progress toward goals.

[0492] For example, if a user inputs "I'm feeling very anxious right now," the server analyzes that emotional data and immediately suggests a realistic breathing exercise guide as AR content for relaxation.

[0493] Examples of prompts for a generative AI model:

[0494] "Based on the emotional data entered by the user, generate activities optimized for stress reduction. The user's state is 'tension,' and the recommended activities are aimed at relaxation."

[0495] These features allow the system to provide 24 / 7 mental health support to users while maintaining anonymity.

[0496] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0497] Step 1:

[0498] Users input emotions and thoughts through their devices. This input data is sent to the server in text format. The server receives this data and preprocesses it through natural language processing. Preprocessing includes text standardization, tokenization, and calculation of emotion scores. This process prepares the input for emotion classification.

[0499] Step 2:

[0500] The server uses a generative AI model to analyze the user's emotional state based on pre-processed data. By creating prompts and inputting them into the generative AI model, empathetic dialogue is generated. The output here is a dialogue in natural language that takes the user's psychological state into account. This dialogue is designed to alleviate the user's emotions.

[0501] Step 3:

[0502] The server references the user's data and selects a relaxation technique. The optimal technique is determined based on the user's current emotional state and past data. For example, if the user is experiencing high stress, breathing exercises might be selected. The selected method is then sent to the terminal. A detailed relaxation guide is generated as output.

[0503] Step 4:

[0504] The device presents the user with dialogue and relaxation techniques received from the server. The user can receive psychological support by participating in the dialogue and following the instructions. During this process, the device can also record the user's interactions and provide feedback to the server.

[0505] Step 5:

[0506] The server collects and analyzes users' daily activity data and visualizes their progress. This analysis uses user log entries and activity records, and the analysis results are visualized and sent to the user's device for presentation. This allows users to check their progress and reset their goals.

[0507] Step 6:

[0508] The server continuously monitors the user's status and, if a critical situation is detected, immediately provides a means of contacting a specialist. Pre-registered contact information is used to facilitate a rapid connection between the user and the specialist, enabling a quick response.

[0509] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0510] This invention is a mental health support system that combines an emotion engine and generative artificial intelligence, aiming to provide appropriate psychological support while analyzing the user's emotions. This system mainly consists of a terminal, a server, and an emotion engine.

[0511] The user accesses the system through a terminal. The system first asks the user to enter basic information such as a nickname in order to collect initial information from the user. The terminal sends this information to the server, which stores it in a database while maintaining anonymity.

[0512] When a user requests counseling, they type "I want to talk" into the terminal. At this time, the terminal collects emotional data from the user's voice and facial expressions. An emotion engine analyzes this data to identify the user's emotional state. The identified emotions are transferred to a server, where generative artificial intelligence generates a dialogue based on the user's emotions.

[0513] The generated dialogue is empathetic and personalized, and the device presents this content to the user. Through the dialogue, the user can process their emotions. For example, if a user is feeling anxious, the emotion engine detects this, and the generative artificial intelligence generates a response to alleviate the anxiety.

[0514] Furthermore, when a user requests relaxation, the device sends a request to the server. The server evaluates the user's psychological state based on the emotion analysis results from the emotion engine and selects an appropriate relaxation method. For example, if stress is detected, breathing exercises may be suggested.

[0515] In progress management, the emotion engine collects daily emotional data from users and evaluates their progress toward psychological goals. The server visualizes this data as graphs and charts and provides it to the user via their device.

[0516] Furthermore, if an emergency situation is detected, for example, if the user expresses emotions that suggest deep distress, the emotion engine will recognize this. Based on this information, the server will send a notification to the device providing a means of contacting a specialist.

[0517] Thus, the system of the present invention can provide users with more accurate and effective psychological support through the collaboration of an emotion engine and generative artificial intelligence.

[0518] The following describes the processing flow.

[0519] Step 1:

[0520] The user operates the terminal, launches the application, and enters basic information such as a nickname. The terminal anonymizes this information and sends it to the server. The server receives the data and stores it in a database while maintaining anonymity.

[0521] Step 2:

[0522] When a user wishes to consult, they type "I want to consult" into the terminal. The terminal sends the user's voice and facial expressions to the emotion engine, which analyzes their emotional state. The emotion engine generates the analysis results and sends the obtained emotional data to the server.

[0523] Step 3:

[0524] The server provides emotional data obtained from the emotion engine to the generative artificial intelligence. The generative AI generates empathetic dialogue based on the user's emotions. This dialogue is personalized to provide the most appropriate support for the user.

[0525] Step 4:

[0526] The generated dialogue content is sent from the server to the terminal. The terminal presents the content to the user, who can receive psychological support through the dialogue. For example, if the emotion engine detects the user's anxiety, the generative artificial intelligence generates a message to alleviate that anxiety.

[0527] Step 5:

[0528] If a user desires relaxation, they type "I want to relax" into the device. The device sends this request to the server, which evaluates the user's state based on data from its emotion engine. Based on the evaluation, the server selects an appropriate relaxation method.

[0529] Step 6:

[0530] The server sends the selected relaxation technique to the terminal. The terminal presents the suggested method to the user, providing specific guidance such as, "Let's try deep breathing." The user follows these instructions to reduce stress.

[0531] Step 7:

[0532] The server continuously monitors the user's progress data and evaluates the progress based on emotional information collected through the emotion engine. The server then processes this data into graphs and delivers them to the terminal.

[0533] Step 8:

[0534] The terminal receives progress data from the server and displays it to the user as graphs and charts. This allows the user to check their progress toward their psychological goals and, if necessary, reset their goals.

[0535] Step 9:

[0536] In the event of an emergency, the emotion engine detects the user's serious emotional state. Based on this information, the server sends instructions to the terminal to provide a means of quickly contacting a specialist.

[0537] Step 10:

[0538] The terminal follows instructions from the server and presents the user with contact information for specialists. Users can then receive prompt and appropriate support as needed.

[0539] (Example 2)

[0540] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0541] In modern society, the number of individuals experiencing psychological stress and anxiety is increasing, and there is a need to provide appropriate psychological support in a timely manner. Furthermore, this support needs to be individualized according to the emotional state and psychological needs of each user. However, conventional systems have difficulty accurately analyzing emotional states and generating individualized dialogues, and may not be able to effectively provide psychological support to users. In addition, there is a lack of mechanisms that enable appropriate responses to emergencies to be made quickly, which is also a challenge.

[0542] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0543] In this invention, the server includes means for analyzing the user's emotions using generative artificial intelligence and generating empathetic and personalized dialogue content, means for identifying emotions using voice and facial expression data collected from the user, and means for selecting and proposing relaxation techniques that are appropriate to the user's psychological state based on pre-collected user data according to the identified emotions. This makes it possible to generate accurate dialogue and propose relaxation techniques that are appropriate to the user's emotional state.

[0544] "Generative artificial intelligence" is a technology that understands human natural language based on input data and generates responses and dialogues based on that understanding.

[0545] "Emotional analysis" is a method of identifying a person's psychological state and type of emotion using voice and facial expression data obtained from the user.

[0546] "Personalized dialogue content" refers to responses and dialogue that are tailored based on each user's emotional state and background information.

[0547] "Relaxation techniques" refer to various methods and methods offered with the aim of improving the psychological state of users and reducing stress.

[0548] "Visually representing the progress towards achieving psychological goals" means displaying the user's progress toward achieving their set psychological goals using visual means such as graphs and charts.

[0549] An "emergency situation" refers to a situation in which a user is judged to be experiencing serious psychological problems or a critical emotional state.

[0550] "Means of contacting experts" refers to communication methods that allow users to quickly seek help from psychology experts or medical professionals when an emergency situation is recognized.

[0551] This invention is a mental health support system that combines an emotion engine and generative artificial intelligence, aiming to provide appropriate psychological support while analyzing the user's emotions. This system mainly consists of a terminal, a server, and an emotion engine.

[0552] Users access the system through a terminal and first enter basic information such as a nickname. This information is sent to the server and stored in a database while maintaining anonymity. If a user wishes to receive counseling, they type "I want to talk" into the terminal, and the terminal collects emotional data from the user's voice, facial expressions, etc.

[0553] The emotion engine analyzes this data to identify the user's emotional state. This analysis utilizes input devices such as the device's microphone and camera, and the collected audio and video data is processed. The emotional state identified by the emotion engine is then transmitted to the server. The server uses a generative AI model to generate dialogue that responds to the user's emotions based on the prompt text.

[0554] For example, prompts such as "How are you feeling today?" or "Do you need any support to relax?" are used. The generated dialogue is empathetic and personalized, and is presented to the user through the device.

[0555] Furthermore, when a user requests relaxation, the server selects an appropriate relaxation method based on the results of the emotion analysis. For example, if the user is perceived as stressed, breathing exercises may be suggested.

[0556] In progress management, the emotion engine collects daily emotional data and evaluates the degree of achievement of psychological goals. The server visualizes this information as graphs and charts and provides it to the user via the terminal.

[0557] In emergencies, if a serious emotional state is detected, the server sends a notification to the terminal providing a means of contacting a specialist, enabling a rapid response. Through this mechanism, the system enables accurate and effective psychological support for the user.

[0558] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0559] Step 1:

[0560] The user accesses the system using a terminal and enters basic information, including a nickname. The terminal receives this information and sends it to the server. The input at this time is basic information such as the user's nickname, and the output is stored in the database in an anonymized form. The terminal performs the action of sending the input to the server.

[0561] Step 2:

[0562] The user enters "I want to talk" into the device, requesting counseling. The device uses a microphone and camera to collect the user's voice and facial expressions. This collected data is used as input for analysis by the emotion engine. The output is data indicating the user's emotional state. The device performs actions to collect audio and video data.

[0563] Step 3:

[0564] The server receives voice and facial expression data transmitted from the terminal and analyzes it using an emotion engine. Voice and facial expression data are used as input, and the user's emotional state is identified based on the analysis of voice tone and facial expression changes. The output is data of the emotional state identified through the analysis. The server performs the operation of analyzing emotions.

[0565] Step 4:

[0566] The server uses analyzed emotion data and a generative AI model to generate dialogue based on prompts. Using emotion states and pre-configured prompts as input, it generates empathetic dialogue tailored to the user as output. The server then personalizes the generated dialogue for each user.

[0567] Step 5:

[0568] The server sends the generated dialogue to the terminal. The terminal receives it and presents it to the user. The input is the generated dialogue, and the output is the dialogue displayed on the user's terminal. The terminal performs the action of displaying the dialogue.

[0569] Step 6:

[0570] When a user requests relaxation, a request is sent from the device to the server. The server selects an appropriate relaxation method based on the emotion analysis results. The input is the user's request and emotion data, and the output is a specific relaxation suggestion. The server then guides the user through the selected relaxation method.

[0571] Step 7:

[0572] The server evaluates the user's progress toward achieving their psychological goals through daily data collection by the emotion engine, and visualizes this progress as graphs and charts. The input is the collected emotion data, and the output is the visualized progress. The server performs the operation of evaluating and visualizing the progress.

[0573] Step 8:

[0574] If the emotion engine detects an emergency situation, the server sends a notification to the terminal providing a means of contacting a specialist. The input is the detected emergency emotion data, and the output is notification information for contacting a specialist. The server then performs the action of sending the notification.

[0575] (Application Example 2)

[0576] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0577] In modern society, the number of people suffering from psychological problems such as stress and anxiety is increasing. However, obtaining individualized care and professional psychological support on a daily basis is difficult, creating a need for immediate and appropriate psychological support within the home environment. Furthermore, there is a growing need for a system that allows users to receive optimal support tailored to their individual psychological state while remaining in their own homes.

[0578] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0579] In this invention, the server includes means for analyzing the user's emotions and thoughts using generative artificial intelligence and providing empathetic dialogue content, means for suggesting relaxation methods tailored to the user's psychological state based on pre-collected user data, and means including an interactive device for real-time emotional monitoring within the home and providing psychological support. This makes it possible for users to receive appropriate psychological support immediately, even in a home environment.

[0580] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates empathetic and effective dialogue content based on data about the user's emotions and thoughts.

[0581] "Emotional and thought analysis" is a process that uses an emotion engine to analyze data obtained from the user's voice, facial expressions, etc., to identify the user's psychological state.

[0582] "Empathic dialogue content" refers to individualized dialogue content that takes into account the user's feelings and psychological state, and is generated to promote emotional understanding.

[0583] "Relaxation techniques" refer to suggested methods and practices for promoting stress reduction and relaxation according to the user's psychological state.

[0584] "Real-time emotion monitoring" refers to a system function that continuously acquires data on the user's facial expressions and voice in a home environment and instantly analyzes their emotional state using an emotion engine.

[0585] A "conversational device" is a device designed to interact with users within the home, enabling responses based on the collection and analysis of emotional data.

[0586] The system that realizes this invention mainly consists of a terminal, a server, and an emotion engine. The terminal is an interactive device installed in the home and serves as the interface with the user. Through this, it collects emotional data such as the user's voice and facial expressions and transmits it to the server.

[0587] The server uses an emotion engine to analyze the received emotion data and identify the user's psychological state. This analysis uses emotion analysis tools such as the Affectiva SDK. Based on the analysis results, a generative AI model (generative artificial intelligence) is used to generate conversational content appropriate for the user. For example, OpenAI's GPT-4 is used for this AI model.

[0588] The generated dialogue is empathetic and personalized, and is transferred from the server to the terminal. The terminal outputs this content and presents it to the user through voice and display. If the user is experiencing anxiety or stress, the system can suggest relaxation techniques such as breathing exercises or playing relaxing music.

[0589] Furthermore, it includes features that constantly monitor the user's condition and provide a means of contacting specialists in emergencies. This allows users to receive appropriate psychological support and gain a sense of security from the comfort of their own homes.

[0590] As a concrete example, if a user starts feeling stressed while relaxing in their living room on a holiday, the device will quietly suggest, "You seem a little tired. Would you like to relax?" and if the user agrees, it will start playing soothing music. Such dialogue is generated by a generative AI model based on the prompt message, "The emotion engine has detected that the user is feeling stressed. Please generate empathetic and relaxing dialogue."

[0591] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0592] Step 1:

[0593] The device collects the user's voice and facial expressions using its camera and microphone. The input is the user's real-time voice and facial expressions, which are captured by the device as emotion data. The output consists of audio data and image data.

[0594] Step 2:

[0595] The terminal sends the collected audio and image data to the server. The input is the audio and image data obtained in step 1, and this data is received by the server upon transmission. The output is the emotion data on the server.

[0596] Step 3:

[0597] The server analyzes the received audio and image data using the emotion engine. The input is the audio and image data sent to the server in step 2, and the emotion engine processes the data to identify the user's emotional state. The output is the analyzed emotional state data.

[0598] Step 4:

[0599] The server uses a generative AI model to generate dialogue content based on the analyzed emotional state. The input is the emotional state data obtained in step 3, and the generative AI model uses prompt sentences to generate empathetic dialogue content. The generated dialogue content is obtained as output.

[0600] Step 5:

[0601] The server sends the generated dialogue content to the terminal. The input is the dialogue content generated in step 4, which the terminal receives upon transmission from the server. The output is the dialogue content on the terminal.

[0602] Step 6:

[0603] The terminal presents the received dialogue content to the user through audio equipment and a display. The input is the dialogue content received in step 5, and the dialogue content is conveyed to the user through audio output and screen display. The output is the audio and visual information received by the user.

[0604] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0605] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0606] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0607] [Fourth Embodiment]

[0608] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0609] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0610] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0611] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0612] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0613] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0614] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0615] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0616] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0617] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0618] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0619] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0620] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0621] This invention is a system that provides mental health support to users using a series of means. Specific embodiments are described below.

[0622] The system starts its service based on information entered by the user through the terminal. The user first enters anonymous information, such as a nickname, to join the system. The terminal sends this information to the server, which registers it in the database while maintaining the user's anonymity.

[0623] Next, when a user desires counseling, they submit a request through their device saying, "I'd like to talk." Upon receiving this request, the server uses its built-in generative artificial intelligence to analyze the user's input data. The server then performs an emotional analysis to determine the user's psychological state. The server then generates an empathetic and supportive dialogue and sends it back to the device. The device presents this dialogue to the user, who receives psychological support through the system.

[0624] Furthermore, if a user requests suggestions for relaxation techniques, the server assesses the user's psychological and physical state and selects an appropriate relaxation method. For example, if the server determines that the user is under high stress, it will suggest breathing exercises and provide specific instructions via the terminal, allowing the user to follow the guidance and reduce stress.

[0625] Monitoring users' daily progress is also a crucial part of the process. Based on the psychological goals set by the user, the server collects and analyzes daily activity data. By visualizing the results and providing feedback to the user through their device, it enables them to check their progress and reset their goals.

[0626] Furthermore, in emergencies, the server continuously monitors the user's status and, if it detects a serious issue, provides a means of contacting the appropriate specialist. This ensures that users receive prompt professional assistance.

[0627] For example, suppose a user continuously records their daily stress level, and one day a high stress level is suddenly reported. In this case, the server can detect the anomaly and notify the user's terminal of information regarding contact with a specialist. This is a specific embodiment of the present invention, which provides users with 24-hour psychological support.

[0628] The following describes the processing flow.

[0629] Step 1:

[0630] The user launches the application through their device and enters a nickname and basic information. The device sends this information to the server, which registers it in a database while maintaining anonymity.

[0631] Step 2:

[0632] If a user wishes to receive counseling, they type "I want to talk" into the device. The device sends this request to the server. The server uses generative artificial intelligence to analyze the received data, examining the user's emotions and thoughts.

[0633] Step 3:

[0634] Based on the analysis results, the server generates empathetic and supportive dialogue appropriate to the user's psychological state. The generated dialogue is sent to the terminal, which then presents the dialogue to the user and conducts counseling.

[0635] Step 4:

[0636] If a user desires relaxation, they type "I want to relax." The device transmits this information to the server, which evaluates the user's current state data. The server then selects an appropriate relaxation technique and sends instructions to the device.

[0637] Step 5:

[0638] The terminal, based on instructions from the server, presents the user with specific relaxation methods. For example, it can guide the user through breathing exercises, which the user can then perform.

[0639] Step 6:

[0640] When checking the user's progress toward their psychological goals, the terminal receives a request from the user. The server analyzes the data collected up to that point and visualizes the progress in a graph format.

[0641] Step 7:

[0642] The analyzed progress data is sent to the device, which then presents it to the user. The user can check their progress toward their goals and revise them as needed.

[0643] Step 8:

[0644] In emergencies, the server monitors user data in real time. If an anomaly is detected, the server sends information to the user's terminal providing instructions on how to contact a specialist.

[0645] Step 9:

[0646] The device displays the received emergency contact information to the user, allowing the user to receive prompt assistance as needed.

[0647] (Example 1)

[0648] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0649] Mental health support is a crucial issue for many people, but there is a lack of systems that provide prompt and appropriate psychological support 24 hours a day, especially while maintaining anonymity. Furthermore, accurately assessing a user's psychological state and providing personalized support based on that assessment is difficult. There is also a need to develop a system that can detect users in crisis situations early and provide necessary professional support quickly.

[0650] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0651] This invention includes a server that uses generative artificial intelligence to analyze emotions and thoughts and provides empathetic dialogue, a server that proposes relaxation techniques based on pre-collected information, a server that monitors user activity and visually represents progress, a server that contacts experts for users in crisis situations, and a server that maintains anonymity and enables 24-hour continuous psychological support. This makes it possible to provide users with prompt and appropriate mental health support.

[0652] "Generative artificial intelligence" is a technology that analyzes emotions and thoughts based on user input and generates appropriate responses and suggestions in real time.

[0653] "Sentiment analysis" is a process that analyzes a user's text data and behavioral data to determine their emotional state and psychological tendencies at that time.

[0654] "Relaxation techniques" is a general term for methods and techniques suggested to users to alleviate psychological and physical tension.

[0655] "Anonymity" refers to a state in which users can use a service without disclosing their personal information.

[0656] A "critical situation" refers to a state in which the user is exposed to significant psychological or physical stress or risk.

[0657] "Visual representation" is a method of displaying information and data in the form of graphs, charts, and other formats to allow users to understand them intuitively.

[0658] This invention is a mental health support system that utilizes generative artificial intelligence to provide users with rapid and appropriate psychological support. The embodiments of this system will be described in detail below.

[0659] The system primarily consists of servers and terminals. Users access the system through terminals and participate by entering anonymous information (e.g., a nickname). This information is sent from the terminal to the server, which registers it in a database while maintaining anonymity.

[0660] The server incorporates a generative AI model that receives text data from users and performs sentiment analysis. In this process, natural language processing technology is used to analyze the user's emotions and psychological state. Based on the analysis results, the server automatically generates empathetic and supportive dialogue and sends it back to the user's device. This process allows users to receive real-time psychological support.

[0661] Furthermore, if the user requests suggestions for relaxation techniques, the server assesses the user's current psychological and physical state. Based on this assessment, the server selects appropriate stress-relief techniques and suggests specific methods for their implementation to the user via the terminal.

[0662] One concrete example of the system is a feature that allows users to input their daily emotional state, and when the server detects signs of high stress, it provides guidance on breathing exercises and meditation. Furthermore, if a user enters a prompt such as "Please tell me some specific ways to relieve stress," they can receive relevant information.

[0663] These features enable the present invention to be implemented as a system that efficiently provides psychological support to users while maintaining anonymity on a 24-hour basis.

[0664] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0665] Step 1:

[0666] The user uses a terminal to input anonymous information into the system. This input includes basic information such as a nickname and areas of interest. The terminal captures this information and sends it to the server. The server registers the received information in its database while maintaining anonymity. In this step, data processing such as receiving and storing information takes place, and the information is stored as anonymous data.

[0667] Step 2:

[0668] The user enters a request to "consult" through their device. The device sends this request to the server. The server uses a generative AI model to analyze the user's input and perform sentiment analysis. Using natural language processing techniques, it determines the user's psychological state from the received text data and generates an empathetic dialogue based on that. The generated dialogue content is then sent back to the device as output.

[0669] Step 3:

[0670] The user enters a request from the terminal asking for suggestions for relaxation techniques. The terminal sends the request to the server. The server analyzes the user's psychological and physical state data and selects an appropriate relaxation method. Specifically, it determines the optimal relaxation technique based on numerical data of stress levels. This result is sent to the terminal, and the specific method is presented to the user.

[0671] Step 4:

[0672] Users regularly input activity data into their devices. For example, they might input their daily emotional state or stress levels. The devices send this data to a server. The server analyzes the accumulated data and visually represents progress towards set psychological goals. This process includes data analysis and visualization, and the output is presented to the user in the form of a progress report.

[0673] Step 5:

[0674] The server continuously monitors user activity and emotional data. If it determines that the user's condition is critical, it provides a means to contact a specialist. In particular, when abnormal data patterns are detected, it immediately sends a warning to the terminal and, if necessary, provides information on how to contact the appropriate specialist. This output prepares the user for prompt professional assistance.

[0675] (Application Example 1)

[0676] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0677] In modern society, mental health problems among residents are increasing, and there is a need for efficient and sustainable means of support. Furthermore, there is a lack of systems that can respond immediately while maintaining anonymity, making it a challenge to provide an environment where residents can easily resolve their psychological problems. In addition, it is necessary to provide effective psychological support in conjunction with the urban environment in which users live.

[0678] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0679] This invention includes a server that uses generative artificial intelligence to analyze the user's emotions and thoughts and provides empathetic dialogue; a server that proposes relaxation methods tailored to the user's psychological state based on pre-collected user data; and a server that collaborates with resources within a smart urban environment to propose activities best suited to the user. This enables 24-hour mental health support while maintaining anonymity and collaborating with the urban environment in which the user lives.

[0680] "Generative artificial intelligence" is an algorithm that analyzes user input data, evaluates their emotional state, and generates natural dialogue and appropriate information.

[0681] "Relaxation techniques" refer to a collection of training methods and techniques proposed with the aim of alleviating the psychological and physical state of users and reducing stress.

[0682] A "smart urban environment" refers to a city where information technology and infrastructure are integrated, and efficient lifestyle support services are provided.

[0683] Augmented reality technology is a technology that uses computers to overlay information onto the real world, allowing users to experience a visual blend of reality and virtual reality.

[0684] "Anonymity" refers to a characteristic that protects users' personal information and prevents them from being identified.

[0685] The system for realizing this invention is based on client terminals such as smartphones and smart glasses, a server that utilizes generative artificial intelligence, and access to a smart urban environment.

[0686] The server uses generative artificial intelligence to analyze the emotions and thoughts that users input through their client terminals. The primary software used for this analysis includes TensorFlow, which provides natural language processing technology, and Python, a data analysis tool. This allows the server to assess the user's psychological state and generate empathetic dialogue. This generated dialogue is then sent to the client terminal and presented to the user.

[0687] Furthermore, based on the user's preferences, the server references the user's data and suggests appropriate relaxation techniques. These suggested techniques are then provided to the user via the client terminal. For example, augmented reality technology can be used to overlay virtual guidelines onto the real world, providing a visually enhanced relaxation experience. The server continuously collects and analyzes the user's daily activity data, visually displaying progress toward goals.

[0688] For example, if a user inputs "I'm feeling very anxious right now," the server analyzes that emotional data and immediately suggests a realistic breathing exercise guide as AR content for relaxation.

[0689] Examples of prompts for a generative AI model:

[0690] "Based on the emotional data entered by the user, generate activities optimized for stress reduction. The user's state is 'tension,' and the recommended activities are aimed at relaxation."

[0691] These features allow the system to provide 24 / 7 mental health support to users while maintaining anonymity.

[0692] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0693] Step 1:

[0694] Users input emotions and thoughts through their devices. This input data is sent to the server in text format. The server receives this data and preprocesses it through natural language processing. Preprocessing includes text standardization, tokenization, and calculation of emotion scores. This process prepares the input for emotion classification.

[0695] Step 2:

[0696] The server uses a generative AI model to analyze the user's emotional state based on pre-processed data. By creating prompts and inputting them into the generative AI model, empathetic dialogue is generated. The output here is a dialogue in natural language that takes the user's psychological state into account. This dialogue is designed to alleviate the user's emotions.

[0697] Step 3:

[0698] The server references the user's data and selects a relaxation technique. The optimal technique is determined based on the user's current emotional state and past data. For example, if the user is experiencing high stress, breathing exercises might be selected. The selected method is then sent to the terminal. A detailed relaxation guide is generated as output.

[0699] Step 4:

[0700] The device presents the user with dialogue and relaxation techniques received from the server. The user can receive psychological support by participating in the dialogue and following the instructions. During this process, the device can also record the user's interactions and provide feedback to the server.

[0701] Step 5:

[0702] The server collects and analyzes users' daily activity data and visualizes their progress. This analysis uses user log entries and activity records, and the analysis results are visualized and sent to the user's device for presentation. This allows users to check their progress and reset their goals.

[0703] Step 6:

[0704] The server continuously monitors the user's status and, if a critical situation is detected, immediately provides a means of contacting a specialist. Pre-registered contact information is used to facilitate a rapid connection between the user and the specialist, enabling a quick response.

[0705] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0706] This invention is a mental health support system that combines an emotion engine and generative artificial intelligence, aiming to provide appropriate psychological support while analyzing the user's emotions. This system mainly consists of a terminal, a server, and an emotion engine.

[0707] The user accesses the system through a terminal. The system first asks the user to enter basic information such as a nickname in order to collect initial information from the user. The terminal sends this information to the server, which stores it in a database while maintaining anonymity.

[0708] When a user requests counseling, they type "I want to talk" into the terminal. At this time, the terminal collects emotional data from the user's voice and facial expressions. An emotion engine analyzes this data to identify the user's emotional state. The identified emotions are transferred to a server, where generative artificial intelligence generates a dialogue based on the user's emotions.

[0709] The generated dialogue is empathetic and personalized, and the device presents this content to the user. Through the dialogue, the user can process their emotions. For example, if a user is feeling anxious, the emotion engine detects this, and the generative artificial intelligence generates a response to alleviate the anxiety.

[0710] Furthermore, when a user requests relaxation, the device sends a request to the server. The server evaluates the user's psychological state based on the emotion analysis results from the emotion engine and selects an appropriate relaxation method. For example, if stress is detected, breathing exercises may be suggested.

[0711] In progress management, the emotion engine collects daily emotional data from users and evaluates their progress toward psychological goals. The server visualizes this data as graphs and charts and provides it to the user via their device.

[0712] Furthermore, if an emergency situation is detected, for example, if the user expresses emotions that suggest deep distress, the emotion engine will recognize this. Based on this information, the server will send a notification to the device providing a means of contacting a specialist.

[0713] Thus, the system of the present invention can provide users with more accurate and effective psychological support through the collaboration of an emotion engine and generative artificial intelligence.

[0714] The following describes the processing flow.

[0715] Step 1:

[0716] The user operates the terminal, launches the application, and enters basic information such as a nickname. The terminal anonymizes this information and sends it to the server. The server receives the data and stores it in a database while maintaining anonymity.

[0717] Step 2:

[0718] When a user wishes to consult, they type "I want to consult" into the terminal. The terminal sends the user's voice and facial expressions to the emotion engine, which analyzes their emotional state. The emotion engine generates the analysis results and sends the obtained emotional data to the server.

[0719] Step 3:

[0720] The server provides emotional data obtained from the emotion engine to the generative artificial intelligence. The generative AI generates empathetic dialogue based on the user's emotions. This dialogue is personalized to provide the most appropriate support for the user.

[0721] Step 4:

[0722] The generated dialogue content is sent from the server to the terminal. The terminal presents the content to the user, who can receive psychological support through the dialogue. For example, if the emotion engine detects the user's anxiety, the generative artificial intelligence generates a message to alleviate that anxiety.

[0723] Step 5:

[0724] If a user desires relaxation, they type "I want to relax" into the device. The device sends this request to the server, which evaluates the user's state based on data from its emotion engine. Based on the evaluation, the server selects an appropriate relaxation method.

[0725] Step 6:

[0726] The server sends the selected relaxation technique to the terminal. The terminal presents the suggested method to the user, providing specific guidance such as, "Let's try deep breathing." The user follows these instructions to reduce stress.

[0727] Step 7:

[0728] The server continuously monitors the user's progress data and evaluates the progress based on emotional information collected through the emotion engine. The server then processes this data into graphs and delivers them to the terminal.

[0729] Step 8:

[0730] The terminal receives progress data from the server and displays it to the user as graphs and charts. This allows the user to check their progress toward their psychological goals and, if necessary, reset their goals.

[0731] Step 9:

[0732] In the event of an emergency, the emotion engine detects the user's serious emotional state. Based on this information, the server sends instructions to the terminal to provide a means of quickly contacting a specialist.

[0733] Step 10:

[0734] The terminal follows instructions from the server and presents the user with contact information for specialists. Users can then receive prompt and appropriate support as needed.

[0735] (Example 2)

[0736] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0737] In modern society, the number of individuals experiencing psychological stress and anxiety is increasing, and there is a need to provide appropriate psychological support in a timely manner. Furthermore, this support needs to be individualized according to the emotional state and psychological needs of each user. However, conventional systems have difficulty accurately analyzing emotional states and generating individualized dialogues, and may not be able to effectively provide psychological support to users. In addition, there is a lack of mechanisms that enable appropriate responses to emergencies to be made quickly, which is also a challenge.

[0738] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0739] In this invention, the server includes means for analyzing the user's emotions using generative artificial intelligence and generating empathetic and personalized dialogue content, means for identifying emotions using voice and facial expression data collected from the user, and means for selecting and proposing relaxation techniques that are appropriate to the user's psychological state based on pre-collected user data according to the identified emotions. This makes it possible to generate accurate dialogue and propose relaxation techniques that are appropriate to the user's emotional state.

[0740] "Generative artificial intelligence" is a technology that understands human natural language based on input data and generates responses and dialogues based on that understanding.

[0741] "Emotional analysis" is a method of identifying a person's psychological state and type of emotion using voice and facial expression data obtained from the user.

[0742] "Personalized dialogue content" refers to responses and dialogue that are tailored based on each user's emotional state and background information.

[0743] "Relaxation techniques" refer to various methods and methods offered with the aim of improving the psychological state of users and reducing stress.

[0744] "Visually representing the progress towards achieving psychological goals" means displaying the user's progress toward achieving their set psychological goals using visual means such as graphs and charts.

[0745] An "emergency situation" refers to a situation in which a user is judged to be experiencing serious psychological problems or a critical emotional state.

[0746] "Means of contacting experts" refers to communication methods that allow users to quickly seek help from psychology experts or medical professionals when an emergency situation is recognized.

[0747] This invention is a mental health support system that combines an emotion engine and generative artificial intelligence, aiming to provide appropriate psychological support while analyzing the user's emotions. This system mainly consists of a terminal, a server, and an emotion engine.

[0748] Users access the system through a terminal and first enter basic information such as a nickname. This information is sent to the server and stored in a database while maintaining anonymity. If a user wishes to receive counseling, they type "I want to talk" into the terminal, and the terminal collects emotional data from the user's voice, facial expressions, etc.

[0749] The emotion engine analyzes this data to identify the user's emotional state. This analysis utilizes input devices such as the device's microphone and camera, and the collected audio and video data is processed. The emotional state identified by the emotion engine is then transmitted to the server. The server uses a generative AI model to generate dialogue that responds to the user's emotions based on the prompt text.

[0750] For example, prompts such as "How are you feeling today?" or "Do you need any support to relax?" are used. The generated dialogue is empathetic and personalized, and is presented to the user through the device.

[0751] Furthermore, when a user requests relaxation, the server selects an appropriate relaxation method based on the results of the emotion analysis. For example, if the user is perceived as stressed, breathing exercises may be suggested.

[0752] In progress management, the emotion engine collects daily emotional data and evaluates the degree of achievement of psychological goals. The server visualizes this information as graphs and charts and provides it to the user via the terminal.

[0753] In emergencies, if a serious emotional state is detected, the server sends a notification to the terminal providing a means of contacting a specialist, enabling a rapid response. Through this mechanism, the system enables accurate and effective psychological support for the user.

[0754] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0755] Step 1:

[0756] The user accesses the system using a terminal and enters basic information, including a nickname. The terminal receives this information and sends it to the server. The input at this time is basic information such as the user's nickname, and the output is stored in the database in an anonymized form. The terminal performs the action of sending the input to the server.

[0757] Step 2:

[0758] The user enters "I want to talk" into the device, requesting counseling. The device uses a microphone and camera to collect the user's voice and facial expressions. This collected data is used as input for analysis by the emotion engine. The output is data indicating the user's emotional state. The device performs actions to collect audio and video data.

[0759] Step 3:

[0760] The server receives voice and facial expression data transmitted from the terminal and analyzes it using an emotion engine. Voice and facial expression data are used as input, and the user's emotional state is identified based on the analysis of voice tone and facial expression changes. The output is data of the emotional state identified through the analysis. The server performs the operation of analyzing emotions.

[0761] Step 4:

[0762] The server uses analyzed emotion data and a generative AI model to generate dialogue based on prompts. Using emotion states and pre-configured prompts as input, it generates empathetic dialogue tailored to the user as output. The server then personalizes the generated dialogue for each user.

[0763] Step 5:

[0764] The server sends the generated dialogue to the terminal. The terminal receives it and presents it to the user. The input is the generated dialogue, and the output is the dialogue displayed on the user's terminal. The terminal performs the action of displaying the dialogue.

[0765] Step 6:

[0766] When a user requests relaxation, a request is sent from the device to the server. The server selects an appropriate relaxation method based on the emotion analysis results. The input is the user's request and emotion data, and the output is a specific relaxation suggestion. The server then guides the user through the selected relaxation method.

[0767] Step 7:

[0768] The server evaluates the user's progress toward achieving their psychological goals through daily data collection by the emotion engine, and visualizes this progress as graphs and charts. The input is the collected emotion data, and the output is the visualized progress. The server performs the operation of evaluating and visualizing the progress.

[0769] Step 8:

[0770] If the emotion engine detects an emergency situation, the server sends a notification to the terminal providing a means of contacting a specialist. The input is the detected emergency emotion data, and the output is notification information for contacting a specialist. The server then performs the action of sending the notification.

[0771] (Application Example 2)

[0772] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0773] In modern society, the number of people suffering from psychological problems such as stress and anxiety is increasing. However, obtaining individualized care and professional psychological support on a daily basis is difficult, creating a need for immediate and appropriate psychological support within the home environment. Furthermore, there is a growing need for a system that allows users to receive optimal support tailored to their individual psychological state while remaining in their own homes.

[0774] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0775] In this invention, the server includes means for analyzing the user's emotions and thoughts using generative artificial intelligence and providing empathetic dialogue content, means for suggesting relaxation methods tailored to the user's psychological state based on pre-collected user data, and means including an interactive device for real-time emotional monitoring within the home and providing psychological support. This makes it possible for users to receive appropriate psychological support immediately, even in a home environment.

[0776] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates empathetic and effective dialogue content based on data about the user's emotions and thoughts.

[0777] "Emotional and thought analysis" is a process that uses an emotion engine to analyze data obtained from the user's voice, facial expressions, etc., to identify the user's psychological state.

[0778] "Empathic dialogue content" refers to individualized dialogue content that takes into account the user's feelings and psychological state, and is generated to promote emotional understanding.

[0779] "Relaxation techniques" refer to suggested methods and practices for promoting stress reduction and relaxation according to the user's psychological state.

[0780] "Real-time emotion monitoring" refers to a system function that continuously acquires data on the user's facial expressions and voice in a home environment and instantly analyzes their emotional state using an emotion engine.

[0781] A "conversational device" is a device designed to interact with users within the home, enabling responses based on the collection and analysis of emotional data.

[0782] The system that realizes this invention mainly consists of a terminal, a server, and an emotion engine. The terminal is an interactive device installed in the home and serves as the interface with the user. Through this, it collects emotional data such as the user's voice and facial expressions and transmits it to the server.

[0783] The server uses an emotion engine to analyze the received emotion data and identify the user's psychological state. This analysis uses emotion analysis tools such as the Affectiva SDK. Based on the analysis results, a generative AI model (generative artificial intelligence) is used to generate conversational content appropriate for the user. For example, OpenAI's GPT-4 is used for this AI model.

[0784] The generated dialogue is empathetic and personalized, and is transferred from the server to the terminal. The terminal outputs this content and presents it to the user through voice and display. If the user is experiencing anxiety or stress, the system can suggest relaxation techniques such as breathing exercises or playing relaxing music.

[0785] Furthermore, it includes features that constantly monitor the user's condition and provide a means of contacting specialists in emergencies. This allows users to receive appropriate psychological support and gain a sense of security from the comfort of their own homes.

[0786] As a concrete example, if a user starts feeling stressed while relaxing in their living room on a holiday, the device will quietly suggest, "You seem a little tired. Would you like to relax?" and if the user agrees, it will start playing soothing music. Such dialogue is generated by a generative AI model based on the prompt message, "The emotion engine has detected that the user is feeling stressed. Please generate empathetic and relaxing dialogue."

[0787] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0788] Step 1:

[0789] The device collects the user's voice and facial expressions using its camera and microphone. The input is the user's real-time voice and facial expressions, which are captured by the device as emotion data. The output consists of audio data and image data.

[0790] Step 2:

[0791] The terminal sends the collected audio and image data to the server. The input is the audio and image data obtained in step 1, and this data is received by the server upon transmission. The output is the emotion data on the server.

[0792] Step 3:

[0793] The server analyzes the received audio and image data using the emotion engine. The input is the audio and image data sent to the server in step 2, and the emotion engine processes the data to identify the user's emotional state. The output is the analyzed emotional state data.

[0794] Step 4:

[0795] The server uses a generative AI model to generate dialogue content based on the analyzed emotional state. The input is the emotional state data obtained in step 3, and the generative AI model uses prompt sentences to generate empathetic dialogue content. The generated dialogue content is obtained as output.

[0796] Step 5:

[0797] The server sends the generated dialogue content to the terminal. The input is the dialogue content generated in step 4, which the terminal receives upon transmission from the server. The output is the dialogue content on the terminal.

[0798] Step 6:

[0799] The terminal presents the received dialogue content to the user through audio equipment and a display. The input is the dialogue content received in step 5, and the dialogue content is conveyed to the user through audio output and screen display. The output is the audio and visual information received by the user.

[0800] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0801] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0802] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0803] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0804] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0805] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0806] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0807] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0808] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0809] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0810] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0811] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0812] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0813] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0814] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0815] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0816] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0817] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0818] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0819] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0820] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0821] The following is further disclosed regarding the embodiments described above.

[0822] (Claim 1)

[0823] A means of using generative artificial intelligence to analyze the user's emotions and thoughts and provide empathetic dialogue content,

[0824] A means of proposing relaxation techniques tailored to the user's psychological state based on user data collected in advance,

[0825] A means of monitoring the user's activity status and visually representing the progress towards achieving set psychological goals,

[0826] A means of providing a way to contact experts when it is determined that the user's condition is critical,

[0827] A system that includes this.

[0828] (Claim 2)

[0829] The system according to claim 1, which uses generative artificial intelligence to perform counseling incorporating cognitive behavioral therapy techniques.

[0830] (Claim 3)

[0831] The system according to claim 1, which enables 24-hour continuous psychological support while maintaining the anonymity of the user.

[0832] "Example 1"

[0833] (Claim 1)

[0834] A means of using generative artificial intelligence to analyze the user's emotions and thoughts and provide empathetic dialogue content,

[0835] A means of proposing relaxation techniques tailored to the user's psychological state based on user information collected in advance,

[0836] A means of monitoring user activity and visually representing progress toward achieving set psychological goals,

[0837] A means of providing a way to contact experts when it is determined that the user's condition is critical,

[0838] A means to enable 24-hour continuous psychological support while maintaining user anonymity,

[0839] A means of generating dialogue using generative artificial intelligence based on emotion analysis,

[0840] A system that includes this.

[0841] (Claim 2)

[0842] The system according to claim 1, which uses generative artificial intelligence to perform counseling incorporating techniques of cognitive behavioral therapy.

[0843] (Claim 3)

[0844] The system according to claim 1, which evaluates the user's psychological and physical state and selects an appropriate relaxation technique.

[0845] "Application Example 1"

[0846] (Claim 1)

[0847] A means of using generative artificial intelligence to analyze the user's emotions and thoughts and provide empathetic dialogue content,

[0848] A means of proposing relaxation techniques tailored to the user's psychological state based on user data collected in advance,

[0849] A means of monitoring the user's activity status and visually representing the progress towards achieving set psychological goals,

[0850] A means of providing a way to contact experts when it is determined that the user's condition is critical,

[0851] A means of collaborating with resources within a smart urban environment to propose activities best suited to the user,

[0852] A means of providing a visual and concrete experience of relaxation methods using augmented reality technology,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, which uses generative artificial intelligence to conduct counseling incorporating cognitive behavioral therapy techniques and connects them to the real environment through visual methods.

[0856] (Claim 3)

[0857] The system according to claim 1, which provides 24-hour continuous psychological support in conjunction with a smart environment while maintaining the anonymity of users.

[0858] "Example 2 of combining an emotion engine"

[0859] (Claim 1)

[0860] A means of using generative artificial intelligence to analyze the user's emotions and generate empathetic and personalized dialogue content,

[0861] A method for identifying emotions using voice and facial expression data collected from users,

[0862] A means of selecting and proposing relaxation techniques that are appropriate to the psychological state based on user data collected in advance, according to the identified emotions,

[0863] A means of visually representing the progress of users in achieving their psychological goals based on daily emotional data,

[0864] A means of providing a way to contact a specialist when it is determined that the user's condition is an emergency,

[0865] A system that includes this.

[0866] (Claim 2)

[0867] The system according to claim 1, which uses generative artificial intelligence to perform counseling including cognitive behavioral therapy techniques.

[0868] (Claim 3)

[0869] The system according to claim 1, which enables continuous psychological support while maintaining the anonymity of the user.

[0870] "Application example 2 when combining with an emotional engine"

[0871] (Claim 1)

[0872] A means of using generative artificial intelligence to analyze the user's emotions and thoughts and provide empathetic dialogue content,

[0873] A means of proposing relaxation techniques tailored to the user's psychological state based on user data collected in advance,

[0874] A means of monitoring the user's activity status and visually representing the progress towards achieving set psychological goals,

[0875] A means of providing a way to contact experts when it is determined that the user's condition is critical,

[0876] Means including interactive devices for real-time emotional monitoring within the home and providing psychological support,

[0877] A system that includes this.

[0878] (Claim 2)

[0879] The system according to claim 1, which uses generative artificial intelligence to perform counseling incorporating cognitive behavioral therapy techniques.

[0880] (Claim 3)

[0881] The system according to claim 1, which enables 24-hour continuous psychological support while maintaining the anonymity of the user. [Explanation of Symbols]

[0882] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of using generative artificial intelligence to analyze the user's emotions and thoughts and provide empathetic dialogue content, A means of proposing relaxation techniques tailored to the user's psychological state based on user data collected in advance, A means of monitoring the user's activity status and visually representing the progress towards achieving set psychological goals, A means of providing a way to contact experts when it is determined that the user's condition is critical, A means of collaborating with resources within a smart urban environment to propose activities best suited to the user, A means of providing a visual and concrete experience of relaxation methods using augmented reality technology, A system that includes this.

2. The system according to claim 1, which uses generative artificial intelligence to conduct counseling incorporating cognitive behavioral therapy techniques and connects them to the real environment through visual methods.

3. The system according to claim 1, which provides 24-hour continuous psychological support in conjunction with a smart environment while maintaining the anonymity of the user.

Images