System

Abstract

To provide appropriate support on the basis of mood and emotions of a user.SOLUTION: A system according to an embodiment comprises information provision unit, an advice presentation unit, an estimation unit, and a support unit. The information provision unit provides a user with basic information about counseling or psychotherapy, techniques, or resources. The advice presentation unit provides the user with advice or relaxation methods to ease the mood for the user's concerns. The estimation unit estimates the mood or emotions of the user. The support unit supports the user according to concrete criteria on the basis of the estimated mood or emotions.SELECTED DRAWING: Figure 1

Description

[Technical field]

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

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

[0003] [Patent Document 1] JP 2022-180282 A Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional techniques have not adequately provided appropriate support based on a user's mood and emotions, and there is room for improvement.

[0005] The system according to the embodiment aims to provide appropriate support based on the user's mood and emotions. [Means for solving the problem]

[0006] The system according to the embodiment includes an information providing unit, an advice presenting unit, an estimation unit, and a support unit. The information providing unit provides a user with basic information, techniques, or resources related to counseling or psychotherapy. The advice presenting unit presents advice or relaxation methods for alleviating the user's mood in response to the user's concerns. The estimation unit estimates the user's mood or emotion. The support unit provides support to the user according to specific criteria based on the estimated mood or emotion. Effect of the Invention

[0007] The system according to the embodiment can provide appropriate support based on the user's mood and emotions. [Brief description of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Diagram 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. FIG. [Diagram 3] FIG. 11 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Diagram 5] FIG. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 13 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10]1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a signed processor (hereinafter simply referred to as a "processor") may be one arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be one type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a signed RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by the processor.

[0013] In the following embodiments, the coded 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), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a code is an interface including a communication processor and an antenna. The communication I / F controls communication between multiple computers. An example of a communication standard applied to the communication I / F is a wireless communication standard including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. In addition, in this specification, the same idea as "A and / or B" is also applied when three or more things are expressed by connecting them with "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (e.g., a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., voice and / or text). Display 40A displays visible information such as text and images according to instructions from processor 46. Speaker 40B outputs voice according to instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a Complementary Metal-Oxide-Semiconductor (CMOS) image sensor or a Charge Coupled Device (CCD) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of main functions of the data processing device 12 and the smart device 14.

[0024] As shown in Fig. 2, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32. The specific process program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific process program 56 from the storage 32, and executes the read specific process program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific process program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Also, the data processing device 12 may be a server device, or may be a terminal device (e.g., a mobile phone, a robot, a home appliance, etc.) owned by a user. Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The system according to the embodiment of the present invention is an AI assistant that supports online counseling and psychotherapy. This AI assistant can provide basic information, techniques, and resources related to counseling and psychotherapy. For example, the user can easily obtain information such as the definition of counseling, the types of psychotherapy, and available resources. In addition, as a daily consultation response, advice and relaxation methods for relieving the user's worries and stress can be presented. For example, if the user is feeling stressed, breathing techniques and simple exercises for relaxation can be suggested. Furthermore, the user's mood and emotions can be estimated. By the user recording their daily mood and emotions, it is possible to grasp the fluctuations and patterns of their mood and provide support based on that information. For example, when the user enters a diary or message, the AI ​​analyzes it and estimates the emotion. Support for the user can be provided based on the estimated mood and emotion. Specifically, guidelines for meditation, breathing techniques, and relaxation techniques are provided. It is also possible to provide music, audio content, and nutritional advice according to the user's mood. Furthermore, it has an emergency redirection function. Based on the estimated mood and emotion, it is determined whether the user is in an emergency state, and if an emergency is required, it is possible to notify an expert or an appropriate helpline. Finally, an interface is provided for visualizing the user's mood fluctuations, allowing the user to grasp the fluctuations of his or her mood at a glance. In this way, the present invention provides a multifunctional AI assistant for supporting online counseling and psychotherapy. As a result, the AI ​​assistant supporting online counseling and psychotherapy can provide comprehensive support to the user.

[0029] The online counseling or psychotherapy support system according to the embodiment includes an information providing unit, an advice presenting unit, an estimation unit, and a support unit. The information providing unit provides basic information, techniques, or resources related to counseling or psychotherapy to the user. For example, the information providing unit can provide information such as a definition of counseling, a type of psychotherapy, and available resources. The advice presenting unit presents advice or a relaxation method to ease the user's mood for the user's worries. For example, the advice presenting unit can suggest a breathing technique or a simple exercise for relaxation when the user is feeling stressed. The estimation unit estimates the user's mood or emotion. For example, the estimation unit estimates the emotion by analyzing a diary or a message entered by the user. The estimation unit uses a generation AI to analyze the contents of the user's input and estimate the emotion. The generation AI uses a text generation AI (e.g., LLM) to analyze the contents of the user's input and estimate the emotion. The support unit provides support to the user based on the estimated mood or emotion. For example, the support unit can provide guidelines for meditation, breathing techniques, and relaxation techniques. In addition, the support unit can provide music, audio content, and nutritional advice according to the user's mood. This allows the online counseling and psychotherapy support system according to the embodiment to provide comprehensive support to the user.

[0030] The information providing unit provides the user with basic information, techniques, or resources related to counseling or psychotherapy. Specifically, the information providing unit can provide information on the definition and purpose of counseling, the types of psychotherapy and their effects, and available resources and support groups. For example, as a definition of counseling, the process of counseling is explained in detail, and what problems it is effective for. In addition, as types of psychotherapy, specific methods such as cognitive behavioral therapy, psychoanalytic therapy, and family therapy are explained in detail, along with their characteristics, scope of application, and effects. Furthermore, as available resources, information on online counseling services, local support groups, self-help books, applications, and the like is provided. This allows the user to understand the options for counseling or psychotherapy that are suitable for him or her, and to utilize appropriate resources. The information providing unit provides an interface that organizes this information in an easy-to-understand manner and allows the user to easily access it. For example, by organizing the information by category and providing a search function, the user can quickly find the information he or she needs. In addition, the information providing unit can provide the latest information at all times by regularly updating the information and reflecting the latest research results and new resources. This allows the information providing unit to enable the user to obtain accurate and up-to-date information regarding counseling and psychotherapy, thereby deepening the user's understanding.

[0031] The advice presenting unit presents advice or a relaxation method for relieving the user's mood in response to the user's worries. Specifically, the advice presenting unit can suggest breathing techniques or simple exercises for relaxing the user when the user is feeling stressed. For example, the advice presenting unit specifically explains easy relaxation methods, such as deep breathing, abdominal breathing, yoga poses, and stretching, so that the user can easily perform them at home. In addition, the advice presenting unit can provide advice that is individually customized according to the user's worries and circumstances. For example, for work stress, the advice presenting unit suggests time management, prioritization of tasks, and relaxation techniques, and for human relationship worries, the advice presenting unit advises improving communication skills and controlling emotions. Furthermore, the advice presenting unit can continuously improve the quality of the advice provided by collecting user feedback and evaluating the effectiveness of the advice. For example, the advice presenting unit collects feedback on the user's impressions and effects after the user puts the advice into practice, and reviews the advice content based on the data. In addition, the advice presenting unit can provide visual and auditory support, such as videos, audio guides, and illustrations, to make it easier for the user to put the advice into practice. As a result, the advice presenting unit can provide specific support for the user to reduce stress and worries and maintain mental and physical health.

[0032] The estimation unit estimates the mood or emotion of the user. Specifically, the estimation unit estimates the emotion by analyzing the diary and messages input by the user. The estimation unit uses the generation AI to analyze the user's input content and estimate the emotion. The generation AI uses a text generation AI (e.g., LLM) to analyze the user's input content and estimate the emotion. For example, if a user writes in his / her diary "I'm very tired today," the generation AI analyzes the keyword "tired" and estimates that the user is feeling tired. Also, if a user writes "I had a good time with my friends," the generation AI analyzes the keyword "fun" and estimates that the user is feeling joy or satisfaction. Furthermore, the estimation unit can perform more accurate emotion estimation by considering not only the user's input content, but also the frequency of input, time of day, and changes in writing style. For example, if a user frequently inputs negative content late at night, the estimation unit determines that the user is likely to be experiencing insomnia or stress. In addition, the estimation unit can improve the accuracy of emotion estimation by comparing with past data and data of other users. This enables the estimation unit to build a foundation for accurately grasping the user's mood and emotions and providing appropriate support.

[0033] The support unit provides support to the user based on the estimated mood or emotion. Specifically, the support unit can provide guidelines for meditation, breathing techniques, and relaxation techniques. For example, if it is estimated that the user is feeling stressed, the support unit provides detailed explanations of meditation methods and deep breathing techniques to support the user so that the user can relax. The support unit can also provide music, audio content, and nutritional advice according to the user's mood. For example, if the user is feeling anxious, the support unit provides relaxing music and natural sounds to help the user calm down. Furthermore, the support unit can collect user feedback and continuously improve the quality of the support provided. For example, the support unit collects feedback on the user's impressions and effects after practicing the provided support, and reviews the support content based on the data. The support unit can also provide visual and auditory support such as videos, audio guides, and illustrations to make it easier for the user to receive support. This allows the support unit to provide specific support to help the user reduce stress and worries and maintain physical and mental health. Furthermore, the support unit can respond in real time to quickly provide the support the user needs. For example, if a user needs emergency support, 24-hour support can be provided to ensure immediate response. This allows the support department to provide an environment where users can receive support at any time with peace of mind, and to support the users' physical and mental health.

[0034] The support unit can provide the user with guidelines for meditation, breathing techniques, or specific relaxation techniques. The support unit can provide, for example, meditation guidelines. Meditation includes mindfulness meditation, concentration meditation, guided meditation, and the like. For example, the support unit can provide guidelines for mindfulness meditation. The support unit can also provide guidelines for breathing techniques. Breathing techniques include deep breathing, abdominal breathing, 4-7-8 breathing, and the like. For example, the support unit can provide guidelines for deep breathing. Furthermore, the support unit can provide guidelines for relaxation techniques. Relaxation techniques include progressive muscle relaxation, image therapy, aromatherapy, and the like. For example, the support unit can provide guidelines for progressive muscle relaxation. This allows the support unit to provide the user with guidelines for relaxation.

[0035] The determination unit can determine whether the user is in a state requiring urgency according to a specific criterion based on the estimated mood or emotion. For example, the determination unit can determine that the user is in a state requiring urgency when there is a risk of self-harm. Furthermore, the determination unit can determine that the user is in a state requiring urgency when the user is in a serious depression. Furthermore, the determination unit can determine that the user is in a state requiring urgency when the user is having a panic attack. This allows the determination unit to determine whether the user is in a state requiring urgency. The notification unit can notify a specialist or a helpline when the determination unit determines that the user is in a state requiring urgency. For example, the notification unit can notify a clinical psychologist or a psychiatrist when the user is at risk of self-harm. Furthermore, the notification unit can notify an emergency consultation desk or a 24-hour hotline when the user is in a serious depression. Furthermore, the notification unit can notify a local support center when the user is having a panic attack. This allows the notification unit to take appropriate action when the user is in a state requiring urgency.

[0036] The interface may visualize the user's mood fluctuations in a specific manner. For example, the interface may visualize the user's mood fluctuations in a graph. The graph may display the user's mood fluctuations along a time axis. The interface may also visualize the user's mood fluctuations in a chart. The chart may display the user's mood fluctuations by category. The interface may also visualize the user's mood fluctuations in a color change. The color change may display the user's mood fluctuations in shades of color. This allows the interface to allow the user to grasp the user's mood fluctuations at a glance.

[0037] The estimation unit can estimate the emotion by analyzing the diary or message input by the user in a specific manner. The estimation unit can analyze the diary or message input by the user using, for example, text mining technology. The text mining technology can extract emotion from the user's input content. Furthermore, the estimation unit can analyze the diary or message input by the user using an emotion analysis algorithm. The emotion analysis algorithm can classify emotion from the user's input content. Furthermore, the estimation unit can analyze the diary or message input by the user using natural language processing technology. The natural language processing technology can understand emotion from the user's input content. This allows the estimation unit to accurately estimate emotion from the user's input content.

[0038] The support unit can provide music or audio content according to the user's mood. For example, when the user wants to relax, the support unit can provide relaxation music. Relaxation music includes natural sounds and calm melodies. Furthermore, when the user wants to concentrate, the support unit can provide music that enhances concentration. Music that enhances concentration includes fast-paced beats and energetic melodies. Furthermore, the support unit can provide positive music when the user wants to refresh. Positive music includes bright melodies and energetic rhythms. This allows the support unit to provide music and audio content that matches the user's mood.

[0039] The support unit can provide nutritional advice according to the mood of the user. For example, when the user is feeling stressed, the support unit can provide nutritional advice that is effective in reducing stress. The nutritional advice that is effective in reducing stress includes the intake of foods containing vitamin C and magnesium. Furthermore, when the user is feeling depressed, the support unit can provide nutritional advice that promotes a positive mood. The nutritional advice that promotes a positive mood includes the intake of foods containing omega-3 fatty acids and vitamin D. Furthermore, when the user is excited, the support unit can provide nutritional advice that enhances concentration. The nutritional advice that enhances concentration includes the intake of foods containing caffeine and antioxidants. This allows the support unit to provide nutritional advice that matches the mood of the user.

[0040] The support unit can start a relaxation guide and send a message to a friend when the estimated mood or emotion becomes a specific mood or emotion. For example, the support unit can start a relaxation guide when the user is feeling stressed. The relaxation guide includes a meditation guide, a deep breathing guide, and a relaxation exercise. For example, the support unit can start a meditation guide when the user is feeling stressed. Also, the support unit can send a message to a friend when the user is feeling sad. Sending a message to a friend includes an encouraging message, a request for support, an explanation of the situation, and the like. For example, the support unit can send an encouraging message to a friend when the user is feeling sad. This allows the support unit to take an appropriate response according to the specific mood or emotion.

[0041] The information providing unit can analyze the past search history of the user and provide optimal information preferentially. For example, the information providing unit can preferentially display information on counseling techniques searched for by the user in the past. Counseling techniques include cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, the information providing unit can preferentially display information on cognitive behavioral therapy techniques searched for by the user in the past. Furthermore, the information providing unit can preferentially provide information on relaxation methods frequently searched for by the user. Relaxation methods include deep breathing, meditation, yoga, and the like. For example, the information providing unit can preferentially provide information on deep breathing methods frequently searched for by the user. Furthermore, the information providing unit can preferentially display information on a specific psychotherapy searched for by the user in the past. Psychotherapy includes cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, the information providing unit can preferentially display information on cognitive behavioral therapy searched for by the user in the past. This allows the information providing unit to provide optimal information based on the past search history of the user.

[0042] The information providing unit can adjust the level of detail of the information to be provided according to the user's level of understanding. For example, when the user is a beginner, the information providing unit can provide basic information and a simple explanation. The basic information includes the definition of counseling, the type of psychotherapy, and available resources. For example, when the user is a beginner, the information providing unit can provide basic information on the definition of counseling and the type of psychotherapy. Furthermore, when the user is an intermediate user, the information providing unit can provide detailed techniques and application methods. The detailed techniques include specific techniques of cognitive behavioral therapy, methods of practicing mindfulness, and methods of applying relaxation techniques. For example, when the user is an intermediate user, the information providing unit can provide detailed information on specific techniques of cognitive behavioral therapy and methods of practicing mindfulness. Furthermore, when the user is an advanced user, the information providing unit can provide specialized information and the latest research results. The specialized information includes the latest research results of psychotherapy, expert advice, the latest techniques, and the like. For example, when the user is an advanced user, the information providing unit can provide information on the latest research results of psychotherapy and expert advice. This allows the information providing unit to provide appropriate information according to the user's level of understanding.

[0043] The information providing unit can provide resources specific to a region in consideration of the geographical location information of the user. For example, when the user is in a particular region, the information providing unit can provide information on counseling services available in the region. The counseling services include local counseling centers, local support groups, psychotherapy specific to the region, and the like. For example, when the user is in a particular region, the information providing unit can provide information on counseling centers and support groups in the region. In addition, when the user is in a particular region, the information providing unit can provide information on relaxation workshops held in the region. The relaxation workshops include meditation workshops, yoga classes, relaxation exercises, and the like. For example, when the user is in a particular region, the information providing unit can provide information on meditation workshops and yoga classes held in the region. In addition, when the user is in a particular region, the information providing unit can provide information on psychotherapy resources available in the region. The psychotherapy resources include psychotherapy clinics in the region, expert advice, psychotherapy techniques specific to the region, and the like. For example, when the user is in a particular region, the information providing unit can provide information on psychotherapy clinics and expert advice in the region. This allows the information providing unit to provide appropriate resources based on the geographical location of the user.

[0044] The information providing unit can analyze the social media activity of the user and provide related information. For example, when the user posts about stress on social media, the information providing unit can provide information about stress reduction techniques. Stress reduction techniques include cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts about stress on social media, the information providing unit can provide information about cognitive behavioral therapy techniques and mindfulness. Furthermore, when the user posts about relaxation on social media, the information providing unit can provide information about relaxation methods. Relaxation methods include deep breathing, meditation, yoga, and the like. For example, when the user posts about relaxation on social media, the information providing unit can provide information about deep breathing methods and meditation. Furthermore, when the user posts about psychotherapy on social media, the information providing unit can provide information about psychotherapy. Psychotherapy includes cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts about psychotherapy on social media, the information providing unit can provide information about cognitive behavioral therapy and mindfulness. This enables the information providing unit to provide appropriate information based on the user's social media activity.

[0045] The advice presenting unit can analyze the user's past consultation history and provide optimal advice. The advice presenting unit can provide relevant advice based on, for example, the content of the consultation the user has had in the past. The past consultation content includes problems and worries the user has, and the effects of advice received in the past. For example, the advice presenting unit can provide relevant advice based on the content of the stress management method that the user has consulted about in the past. Furthermore, the advice presenting unit can analyze the effects of advice that the user has received in the past and provide optimal advice. The effects of the advice include results and feedback of the user putting the advice into practice. For example, the advice presenting unit can analyze the effects of advice on relaxation techniques that the user has received in the past and provide optimal advice. Furthermore, the advice presenting unit can find a specific pattern from the user's past consultation history and provide advice based on the pattern. The specific pattern includes problems and worries that the user repeatedly consults about, and advice that has been effective in the past. For example, the advice presenting unit can find a specific pattern related to stress management from the user's past consultation history and provide advice based on the pattern. This allows the advice presenting unit to provide appropriate advice based on the user's past consultation history.

[0046] The advice presenting unit can adjust the level of detail of the advice according to the user's level of understanding. For example, when the user is a beginner, the advice presenting unit can provide basic advice and a simple explanation. The basic advice includes a method of stress management, promotion of positive thinking, and relaxation techniques. For example, when the user is a beginner, the advice presenting unit can provide a basic method of stress management and a simple explanation on promotion of positive thinking. Furthermore, when the user is an intermediate user, the advice presenting unit can provide detailed techniques and application methods. The detailed techniques include specific techniques of cognitive behavioral therapy, methods of practicing mindfulness, and methods of applying relaxation techniques. For example, when the user is an intermediate user, the advice presenting unit can provide detailed information on specific techniques of cognitive behavioral therapy and methods of practicing mindfulness. Furthermore, when the user is an advanced user, the advice presenting unit can provide specialized advice and the latest research results. The specialized advice includes the latest research results of psychotherapy, expert advice, and the latest techniques. For example, when the user is an advanced user, the advice presenting unit can provide information on the latest research results of psychotherapy and expert advice. This allows the advice presenter to provide appropriate advice according to the user's level of understanding.

[0047] The advice presenting unit can provide advice specific to a region, taking into account the geographical location information of the user. For example, when the user is in a particular region, the advice presenting unit can provide information on counseling services available in the region. The counseling services include local counseling centers, local support groups, psychotherapy specific to the region, and the like. For example, when the user is in a particular region, the advice presenting unit can provide information on counseling centers and support groups in the region. In addition, when the user is in a particular region, the advice presenting unit can provide information on relaxation workshops held in the region. The relaxation workshops include meditation workshops, yoga classes, relaxation exercises, and the like. For example, when the user is in a particular region, the advice presenting unit can provide information on meditation workshops and yoga classes held in the region. In addition, when the user is in a particular region, the advice presenting unit can provide information on psychotherapy resources available in the region. The psychotherapy resources include psychotherapy clinics in the region, expert advice, psychotherapy techniques specific to the region, and the like. For example, when the user is in a particular region, the advice presenting unit can provide information on psychotherapy clinics and expert advice in the region. This allows the advice presenting unit to provide appropriate advice based on the geographical location of the user.

[0048] The advice presenting unit can analyze the user's social media activity and provide related advice. For example, when the user posts on social media about stress, the advice presenting unit can provide advice on stress reduction techniques. Stress reduction techniques include cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts on social media about stress, the advice presenting unit can provide advice on cognitive behavioral therapy techniques and mindfulness. Furthermore, when the user posts on social media about relaxation, the advice presenting unit can provide advice on relaxation methods. Relaxation methods include deep breathing, meditation, yoga, and the like. For example, when the user posts on social media about relaxation, the advice presenting unit can provide advice on deep breathing methods and meditation. Furthermore, when the user posts on social media about psychotherapy, the advice presenting unit can provide advice on psychotherapy. Psychotherapy includes cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts on social media about psychotherapy, the advice presenting unit can provide advice on cognitive behavioral therapy and mindfulness. This enables the advice presenter to provide appropriate advice based on the user's social media activity.

[0049] The estimation unit can analyze the user's past emotion data and improve the accuracy of the estimation. For example, the estimation unit can estimate the current emotion based on emotion data recorded by the user in the past. The past emotion data includes the user's self-report, emotion diary, sensor data, and the like. For example, the estimation unit can estimate the current emotion based on the emotion diary recorded by the user in the past. Furthermore, the estimation unit can find a specific pattern from the user's past emotion data and improve the accuracy of the estimation based on the specific pattern. The specific pattern includes the user's emotion fluctuation pattern, emotion trigger, emotion duration, and the like. For example, the estimation unit can find an emotion fluctuation pattern from the user's past emotion data and improve the accuracy of the estimation based on the specific pattern. Furthermore, the estimation unit can analyze the user's past emotion data and grasp the emotion fluctuation pattern to improve the accuracy of the estimation. The emotion fluctuation pattern includes the user's emotion periodicity, emotion intensity, emotion duration, and the like. For example, the estimation unit can analyze the user's past emotion data and grasp the emotion periodicity to improve the accuracy of the estimation. This enables the estimation unit to provide an appropriate estimation based on the user's past emotion data.

[0050] The estimation unit can display the estimation result according to the user's level of understanding. For example, when the user is a beginner, the estimation unit can display the estimation result together with a simple explanation. The simple explanation includes an overview of the estimation result, a simple explanation of the estimation method, and a method for interpreting the estimation result. For example, when the user is a beginner, the estimation unit can display an overview of the estimation result and a simple explanation of the estimation method. Furthermore, when the user is an intermediate user, the estimation unit can display the estimation result together with detailed data. The detailed data includes a detailed explanation of the estimation result, a detailed explanation of the estimation method, and a specific method for interpreting the estimation result. For example, when the user is an intermediate user, the estimation unit can display a detailed explanation of the estimation result and a detailed explanation of the estimation method. Furthermore, when the user is an advanced user, the estimation unit can display the estimation result together with specialized information. The specialized information includes a specialized interpretation of the estimation result, a specialized explanation of the estimation method, and a method for applying the estimation result. For example, when the user is an advanced user, the estimation unit can display a specialized interpretation of the estimation result and a specialized explanation of the estimation method. This allows the estimation unit to provide an appropriate estimation result according to the user's level of understanding.

[0051] The estimation unit can perform region-specific emotion estimation in consideration of the geographical location information of the user. For example, when the user is in a specific region, the estimation unit can estimate the emotion in consideration of the culture and customs of the region. The culture and customs of the region include stress factors specific to the region, events and events of the region, and the climate and environment of the region. For example, when the user is in a specific region, the estimation unit can estimate the emotion based on the culture and customs of the region. Furthermore, when the user is in a specific region, the estimation unit can estimate the emotion in consideration of the climate and environment of the region. The climate and environment of the region include temperature, humidity, weather, natural environment, and the like. For example, when the user is in a specific region, the estimation unit can estimate the emotion based on the temperature and weather of the region. Furthermore, when the user is in a specific region, the estimation unit can estimate the emotion in consideration of events and events of the region. The events and events of the region include festivals, sporting events, cultural events, and the like of the region. For example, when the user is in a specific region, the estimation unit can estimate the emotion based on festivals and sporting events of the region. This allows the estimation unit to provide an appropriate emotion estimation based on the geographical location of the user.

[0052] The estimation unit can analyze the social media activity of the user and perform related emotion estimation. For example, when the user posts on social media about stress, the estimation unit can estimate that the user is feeling stressed. The stress-related posts include the user's stress level, the cause of stress, and a method of reducing stress. For example, when the user posts on social media about stress, the estimation unit can estimate the emotion based on the user's stress level and the cause of stress. Furthermore, when the user posts on social media about relaxation, the estimation unit can estimate that the user is relaxed. The relaxation-related posts include the user's relaxation level, the relaxation method, and the effect of relaxation. For example, when the user posts on social media about relaxation, the estimation unit can estimate the emotion based on the user's relaxation level and the relaxation method. Furthermore, when the user posts on social media about psychotherapy, the estimation unit can estimate that the user needs psychological support. The psychotherapy-related posts include the user's psychological state, the psychotherapy method, and the effect of psychotherapy. For example, when the user posts on social media about psychotherapy, the estimation unit can estimate the emotion based on the user's psychological state and the psychotherapy method. This enables the estimation unit to provide appropriate emotion estimations based on the user's social media activity.

[0053] The support unit can analyze the user's past support history and provide optimal support. For example, the support unit can analyze the effect of the support the user has received in the past and provide optimal support. The effect of the support includes the result of the user practicing the support and feedback. For example, the support unit can analyze the effect of the support of the relaxation technique that the user has received in the past and provide optimal support. Furthermore, the support unit can find a specific pattern from the user's past support history and provide support based on the pattern. The specific pattern includes the type and effect of the support that the user repeatedly receives, and support that has been effective in the past. For example, the support unit can find a specific pattern related to stress management from the user's past support history and provide support based on the pattern. Furthermore, the support unit can provide optimal support based on the relaxation technique that the user has used in the past. The relaxation technique includes deep breathing, meditation, yoga, and the like. For example, the support unit can provide optimal support based on the deep breathing technique that the user has used in the past. This allows the support unit to provide appropriate support based on the user's past support history.

[0054] The support unit can adjust the level of detail of the support according to the user's level of understanding. For example, when the user is a beginner, the support unit can provide basic support and a simple explanation. The basic support includes a method of stress management, promotion of positive thinking, and relaxation techniques. For example, when the user is a beginner, the support unit can provide a basic method of stress management and a simple explanation on promotion of positive thinking. Furthermore, when the user is an intermediate user, the support unit can provide detailed techniques and application methods. The detailed techniques include specific techniques of cognitive behavioral therapy, methods of practicing mindfulness, and methods of applying relaxation techniques. For example, when the user is an intermediate user, the support unit can provide detailed information on specific techniques of cognitive behavioral therapy and methods of practicing mindfulness. Furthermore, when the user is an advanced user, the support unit can provide specialized support and the latest research results. The specialized support includes the latest research results of psychotherapy, expert advice, the latest techniques, and the like. For example, when the user is an advanced user, the support unit can provide information on the latest research results of psychotherapy and expert advice. This allows the support unit to provide appropriate support according to the user's level of understanding.

[0055] The support unit can provide region-specific support taking into account the geographic location information of the user. For example, when the user is in a particular region, the support unit can provide information on counseling services available in the region. Counseling services include local counseling centers, local support groups, psychotherapy specific to the region, and the like. For example, when the user is in a particular region, the support unit can provide information on counseling centers and support groups in the region. In addition, when the user is in a particular region, the support unit can provide information on relaxation workshops held in the region. Relaxation workshops include meditation workshops, yoga classes, relaxation exercises, and the like. For example, when the user is in a particular region, the support unit can provide information on meditation workshops and yoga classes held in the region. In addition, when the user is in a particular region, the support unit can provide information on psychotherapy resources available in the region. Psychotherapy resources include psychotherapy clinics in the region, expert advice, psychotherapy techniques specific to the region, and the like. For example, when the user is in a particular region, the support unit can provide information on psychotherapy clinics and expert advice in the region. This allows the support unit to provide appropriate support based on the geographic location of the user.

[0056] The support unit can analyze the user's social media activities and provide related support. For example, when the user posts on social media about stress, the support unit can provide support on stress reduction techniques. Stress reduction techniques include cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts on social media about stress, the support unit can provide support on cognitive behavioral therapy techniques and mindfulness. Furthermore, when the user posts on social media about relaxation, the support unit can provide support on relaxation methods. Relaxation methods include deep breathing, meditation, yoga, and the like. For example, when the user posts on social media about relaxation, the support unit can provide support on deep breathing methods and meditation. Furthermore, when the user posts on social media about psychotherapy, the support unit can provide support on psychotherapy. Psychotherapy includes cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts on social media about psychotherapy, the support unit can provide support on cognitive behavioral therapy and mindfulness. This enables the support department to provide appropriate support based on the user's social media activity.

[0057] The determination unit can analyze the user's past emergency history and improve the accuracy of the determination. The determination unit can, for example, determine the current urgency based on data of emergency situations experienced by the user in the past. The data of past emergency situations includes the user's self-report, details of the emergency, and a method of dealing with the emergency. For example, the determination unit can determine the current urgency based on the self-report of an emergency situation experienced by the user in the past. The determination unit can also find a specific pattern from the user's past emergency history and improve the accuracy of the determination based on the specific pattern. The specific pattern includes the type and cause of an emergency situation repeatedly experienced by the user, and a method of dealing with an emergency that was effective in the past. For example, the determination unit can find a specific pattern from the user's past emergency history and improve the accuracy of the determination based on the specific pattern. Furthermore, the determination unit can analyze the user's past emergency history and grasp the fluctuation pattern of the urgency to improve the accuracy of the determination. The fluctuation pattern of the urgency includes the periodicity of the user's emergency, the intensity of the emergency, and the duration of the emergency. For example, the determination unit can analyze the user's past emergency history and grasp the periodicity of the urgency to improve the accuracy of the determination. This enables the determination unit to provide an appropriate determination based on the user's past emergency situation history.

[0058] The determination unit can perform a region-specific urgency determination taking into account the geographical location information of the user. For example, when the user is in a specific region, the determination unit can determine the urgency taking into account medical resources of the region. The medical resources of the region include hospitals, clinics, emergency medical services, etc. in the region. For example, when the user is in a specific region, the determination unit can determine the urgency based on hospitals and clinics in the region. Furthermore, when the user is in a specific region, the determination unit can determine the urgency taking into account the climate and environment of the region. The climate and environment of the region include temperature, humidity, weather, natural environment, etc. For example, when the user is in a specific region, the determination unit can determine the urgency based on the temperature and weather of the region. Furthermore, when the user is in a specific region, the determination unit can determine the urgency taking into account events and events of the region. The events and events of the region include festivals, sporting events, cultural events, etc. in the region. For example, when the user is in a specific region, the determination unit can determine the urgency based on festivals and sporting events in the region. This allows the determination unit to provide an appropriate urgency determination based on the geographical location of the user.

[0059] The notification unit can analyze the user's past notification history and select the optimal notification method. The notification unit can, for example, analyze the effect of notifications received by the user in the past and select the optimal notification method. The effect of the notification includes the user's feedback, the result of practicing the notification, the frequency of receiving the notification, and the like. For example, the notification unit can analyze the effect of the notification of the relaxation technique received by the user in the past and select the optimal notification method. Furthermore, the notification unit can find a specific pattern from the user's past notification history and select the optimal notification method based on the pattern. The specific pattern includes the type and effect of the notification that the user repeatedly receives, the notification method that was effective in the past, and the like. For example, the notification unit can find a specific pattern from the user's past notification history and select the optimal notification method based on the pattern. Furthermore, the notification unit can select the optimal notification method based on the content of the notification received by the user in the past. The content of the notification includes suggestions for relaxation techniques, positive messages, and guidance on exercises to improve concentration. For example, the notification unit can select the optimal notification method based on the content of the notification of the relaxation technique received by the user in the past. This allows the notification unit to provide an appropriate notification method based on the user's past notification history.

[0060] The notification unit may provide region-specific notifications taking into account the geographic location information of the user. For example, when the user is in a particular region, the notification unit may notify the user of information on counseling services available in the region. Counseling services include local counseling centers, local support groups, psychotherapy specific to the region, and the like. For example, when the user is in a particular region, the notification unit may notify the user of information on counseling centers and support groups in the region. In addition, the notification unit may notify the user of information on relaxation workshops held in the region when the user is in a particular region. Relaxation workshops include meditation workshops, yoga classes, relaxation exercises, and the like. For example, when the user is in a particular region, the notification unit may notify the user of information on meditation workshops and yoga classes held in the region. In addition, the notification unit may notify the user of information on psychotherapy resources available in the region when the user is in a particular region. Psychotherapy resources include local psychotherapy clinics, expert advice, psychotherapy techniques specific to the region, and the like. For example, when the user is in a particular region, the notification unit may notify the user of information on psychotherapy clinics and expert advice in the region. This allows the notification unit to provide appropriate notifications based on the geographic location of the user.

[0061] The interface can select an optimal display method by referring to the user's past operation history. The interface can provide an optimal display method, for example, based on the interface settings used by the user in the past. The interface settings include the user's customization settings, the selection of the display method, the setting of the operation procedure, and the like. For example, the interface can provide an optimal display method, based on the customization settings used by the user in the past. The interface can also find a specific pattern from the user's past operation history and provide an optimal display method based on the pattern. The specific pattern includes a display method or operation procedure that the user uses repeatedly, a display method that was effective in the past, and the like. The customization settings include the selection of the display method, the setting of the operation procedure, the layout of the interface, and the like. For example, the interface can provide an optimal display method, based on the user's past operation history. In this way, the interface can provide an appropriate display method based on the user's past operation history.

[0062] The interface can select an optimal display method in consideration of the device information of the user. For example, when the user is using a smartphone, the interface can provide a display method that matches the screen size. The screen size of the smartphone includes a small screen, a vertically long screen, an interface optimized for touch operation, and the like. For example, when the user is using a smartphone, the interface can provide a display method that is optimized for a small screen or a vertically long screen. In addition, when the user is using a tablet, the interface can provide a display method that is optimized for a large screen. The screen size of the tablet includes a large screen, a horizontally long screen, an interface optimized for touch operation, and the like. For example, when the user is using a tablet, the interface can provide a display method that is optimized for a large screen or a horizontally long screen. In addition, when the user is using a smart watch, the interface can provide a simple and highly visible display method. The screen size of the smart watch includes a small screen, a circular screen, an interface optimized for touch operation, and the like. For example, when the user is using a smart watch, the interface can provide a display method that is optimized for a small screen or a circular screen. This allows the interface to provide an appropriate display method based on the device information of the user.

[0063] The music or audio content providing unit can analyze the user's past music or audio content history and provide optimal content. The music or audio content providing unit can provide optimal music, for example, based on relaxing music that the user has listened to in the past. Relaxing music includes natural sounds, gentle melodies, and relaxation music. For example, the music or audio content providing unit can provide optimal music based on natural sounds and gentle melodies that the user has listened to in the past. In addition, the music or audio content providing unit can find a specific pattern from the user's past music history and provide optimal music based on the pattern. The specific pattern includes the type and effect of music that the user repeatedly listens to, music that has been effective in the past, and the like. Furthermore, the music or audio content providing unit can provide optimal content based on audio content that the user has listened to in the past. Audio content includes podcasts, audiobooks, relaxation guides, and the like. For example, the music or audio content providing unit can provide optimal audio content based on podcasts and audiobooks that the user has listened to in the past. This allows the music or audio content providing unit to provide appropriate music and audio content based on the user's past history.

[0064] The music or audio content providing unit can adjust the level of detail of the music or audio content to be provided according to the user's level of understanding. For example, if the user is a beginner, the music or audio content providing unit can provide basic music and a simple explanation. The basic music includes relaxing music, positive music, and music that enhances concentration. For example, if the user is a beginner, the music or audio content providing unit can provide a simple explanation on relaxing music and positive music. In addition, if the user is an intermediate user, the music or audio content providing unit can provide detailed music and application methods. The detailed music includes relaxation music, energetic music, and music that enhances concentration. For example, if the user is an intermediate user, the music or audio content providing unit can provide detailed information on relaxation music and energetic music. In addition, if the user is an advanced user, the music or audio content providing unit can provide specialized music and the latest research results. The specialized music includes the latest research results of psychotherapy, expert advice, the latest music techniques, and the like. For example, if the user is an advanced user, the music or audio content providing unit can provide information on the latest research results of psychotherapy and expert advice. This allows the music or audio content providing unit to provide appropriate music or audio content according to the user's level of understanding.

[0065] The music or audio content providing unit can provide music or audio content specific to a region in consideration of the geographical location information of the user. For example, when the user is in a specific region, the music or audio content providing unit can provide music that is popular in the region. The music that is popular in the region includes traditional music of the region, music of artists of the region, music played at events in the region, and the like. For example, when the user is in a specific region, the music or audio content providing unit can provide traditional music of the region or music of artists of the region. Furthermore, when the user is in a specific region, the music or audio content providing unit can provide audio content based on the culture of the region. The audio content based on the culture of the region includes the history, traditions, and language of the region. For example, when the user is in a specific region, the music or audio content providing unit can provide audio content related to the history and traditions of the region. Furthermore, when the user is in a specific region, the music or audio content providing unit can provide music related to events and occasions in the region. The events and occasions in the region include festivals, sporting events, cultural events, and the like in the region. For example, when the user is in a specific region, the music or audio content providing unit can provide music related to festivals and sporting events in the region. This allows the music or audio content providing unit to provide appropriate music or audio content based on the user's geographical location.

[0066] The music or audio content providing unit can analyze the user's social media activity and provide related music or audio content. For example, when a user posts on social media about relaxing music, the music or audio content providing unit can provide relaxing music. Relaxing music includes natural sounds, calm melodies, relaxation music, and the like. For example, when a user posts on social media about relaxing music, the music or audio content providing unit can provide music with natural sounds or calm melodies. In addition, when a user posts on social media about positive music, the music or audio content providing unit can provide positive music. Positive music includes bright melodies, energetic rhythms, positive lyrics, and the like. For example, when a user posts on social media about positive music, the music or audio content providing unit can provide music with bright melodies or energetic rhythms. In addition, when a user posts on social media about music that enhances concentration, the music or audio content providing unit can provide music that enhances concentration. Music that enhances concentration includes fast-paced beats, energetic melodies, rhythms that enhance concentration, and the like. For example, if a user posts on social media about music that helps them concentrate, the music or audio content providing unit can provide music with a fast-paced beat and energetic melodies, allowing the music or audio content providing unit to provide appropriate music or audio content based on the user's social media activities.

[0067] The nutritional advice providing unit can analyze the user's past meal history and provide optimal nutritional advice. The nutritional advice providing unit can provide optimal nutritional advice based on, for example, data on meals taken by the user in the past. The past meal data includes the user's meal contents, nutrients taken, meal frequency, and the like. For example, the nutritional advice providing unit can provide optimal nutritional advice based on the meal contents taken by the user in the past. Furthermore, the nutritional advice providing unit can find a specific pattern from the user's past meal history and provide optimal nutritional advice based on the pattern. The specific pattern includes foods and nutrients that the user repeatedly takes, nutritional advice that has been effective in the past, and the like. For example, the nutritional advice providing unit can find a specific pattern from the user's past meal history and provide optimal nutritional advice based on the pattern. Furthermore, the nutritional advice providing unit can provide optimal nutritional advice based on nutrients taken by the user in the past. The nutrients include vitamins, minerals, proteins, fats, carbohydrates, and the like. For example, the nutritional advice providing unit can provide optimal nutritional advice based on data on vitamins and minerals taken by the user in the past. This allows the nutritional advice providing unit to provide appropriate nutritional advice based on the user's past meal history.

[0068] The nutrition advice providing unit can adjust the level of detail of the nutrition advice to be provided according to the user's level of understanding. For example, if the user is a beginner, the nutrition advice providing unit can provide basic nutrition advice and a simple explanation. The basic nutrition advice includes a balanced diet, the intake of specific vitamins and minerals, and the timing of meals. For example, if the user is a beginner, the nutrition advice providing unit can provide a simple explanation on a balanced diet and the intake of specific vitamins and minerals. Furthermore, if the user is an intermediate user, the nutrition advice providing unit can provide detailed nutrition advice and application methods. The detailed nutrition advice includes the effects of specific nutrients, how to balance nutrition, how to plan meals, and the like. For example, if the user is an intermediate user, the nutrition advice providing unit can provide detailed information on the effects of specific nutrients and how to balance nutrition. Furthermore, if the user is an advanced user, the nutrition advice providing unit can provide specialized nutrition advice and the latest research results. The specialized nutrition advice includes the latest research results in nutrition, expert advice, the latest nutrition techniques, and the like. For example, if the user is an advanced user, the nutrition advice providing unit can provide information on the latest nutritional research results and advice from experts, thereby enabling the nutrition advice providing unit to provide appropriate nutrition advice according to the user's level of understanding.

[0069] The nutritional advice providing unit can provide nutritional advice specific to a region, taking into account the geographical location information of the user. For example, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice based on ingredients available in the region. The ingredients available in the region include local specialties, foods sold in a market in the region, ingredients of traditional dishes in the region, and the like. For example, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice based on local specialties and foods sold in a market in the region. Furthermore, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice taking into account the food culture of the region. The food culture of the region includes traditional dishes, eating habits, and how to use ingredients in the region. For example, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice taking into account the traditional dishes and eating habits of the region. Furthermore, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice taking into account the climate and environment of the region. The climate and environment of the region include temperature, humidity, weather, natural environment, and the like. For example, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice taking into account the temperature and weather of the region. This enables the nutritional advice providing unit to provide appropriate nutritional advice based on the user's geographical location.

[0070] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0071] The information providing unit can analyze the past counseling history of the user and provide optimal information. For example, based on the content and effect of counseling the user received in the past, the information providing unit can provide relevant information. The past counseling history includes the type of counseling the user received, the effect of counseling, the frequency of counseling, and the like. For example, the information providing unit can provide relevant information based on information on cognitive behavioral therapy counseling the user received in the past. Furthermore, the information providing unit can find a specific pattern from the past counseling history of the user and provide optimal information based on the pattern. The specific pattern includes the type and effect of counseling that the user repeatedly receives, counseling that was effective in the past, and the like. For example, the information providing unit can find a specific pattern from the past counseling history of the user and provide optimal information based on the pattern. Furthermore, the information providing unit can provide optimal information based on the content of counseling the user received in the past. The content of counseling includes the theme of counseling, the method of counseling, the effect of counseling, and the like. For example, the information providing unit can provide optimal information based on the theme and method of counseling the user received in the past. This allows the information providing unit to provide appropriate information based on the past counseling history of the user.

[0072] The support unit can analyze the user's past support history and provide optimal support. For example, the support unit can analyze the effect of the support the user has received in the past and provide optimal support. The effect of the support includes the result of the user's practicing the support and feedback. For example, the support unit can analyze the effect of the support of the relaxation technique that the user has received in the past and provide optimal support. Furthermore, the support unit can find a specific pattern from the user's past support history and provide support based on the pattern. The specific pattern includes the type and effect of the support that the user repeatedly receives, and support that has been effective in the past. For example, the support unit can find a specific pattern related to stress management from the user's past support history and provide support based on the pattern. Furthermore, the support unit can provide optimal support based on the relaxation technique that the user has used in the past. The relaxation technique includes deep breathing, meditation, yoga, and the like. For example, the support unit can provide optimal support based on the deep breathing technique that the user has used in the past. This allows the support unit to provide appropriate support based on the user's past support history.

[0073] The interface can select an optimal display method by referring to the user's past operation history. For example, the interface can provide an optimal display method based on the interface settings used by the user in the past. The interface settings include the user's customization settings, the selection of the display method, the setting of the operation procedure, and the like. For example, the interface can provide an optimal display method based on the customization settings used by the user in the past. The interface can also find a specific pattern from the user's past operation history and provide an optimal display method based on the pattern. The specific pattern includes a display method or operation procedure that the user uses repeatedly, a display method that was effective in the past, and the like. The customization settings include the selection of the display method, the setting of the operation procedure, the layout of the interface, and the like. For example, the interface can provide an optimal display method based on the selection of the display method or the setting of the operation procedure that the user used in the past. In this way, the interface can provide an appropriate display method based on the user's past operation history.

[0074] The nutritional advice providing unit can analyze the user's past meal history and provide optimal nutritional advice. For example, the nutritional advice providing unit can provide optimal nutritional advice based on data of meals taken by the user in the past. The past meal data includes the user's meal contents, nutrients taken, meal frequency, and the like. For example, the nutritional advice providing unit can provide optimal nutritional advice based on the meal contents taken by the user in the past. Furthermore, the nutritional advice providing unit can find a specific pattern from the user's past meal history and provide optimal nutritional advice based on the pattern. The specific pattern includes foods and nutrients that the user repeatedly takes, nutritional advice that has been effective in the past, and the like. For example, the nutritional advice providing unit can find a specific pattern from the user's past meal history and provide optimal nutritional advice based on the pattern. Furthermore, the nutritional advice providing unit can provide optimal nutritional advice based on nutrients taken by the user in the past. The nutrients include vitamins, minerals, proteins, fats, carbohydrates, and the like. For example, the nutritional advice providing unit can provide optimal nutritional advice based on data of vitamins and minerals taken by the user in the past. This allows the nutritional advice providing unit to provide appropriate nutritional advice based on the user's past meal history.

[0075] The process flow of the first embodiment will be briefly described below.

[0076] Step 1: The information provider provides the user with basic information, techniques, or resources related to counseling or psychotherapy. For example, the information provider provides information such as a definition of counseling, types of psychotherapy, and available resources. Step 2: The advice presentation unit presents advice or a relaxation method for alleviating the user's mood in response to the user's worries. For example, if the user is feeling stressed, the advice presentation unit suggests breathing techniques or simple exercises to help the user relax. Step 3: The estimation unit estimates the user's mood or emotion. For example, the estimation unit estimates emotions by analyzing diary entries or messages entered by the user. Using a generation AI, the user's input content is analyzed and emotions are estimated. Step 4: The support unit provides support to the user based on the estimated mood or emotion. For example, the support unit provides guidelines for meditation, breathing exercises, and relaxation techniques. It can also provide music, audio content, and nutritional advice according to the user's mood.

[0077] (Example 2) The system according to the embodiment of the present invention is an AI assistant that supports online counseling and psychotherapy. This AI assistant can provide basic information, techniques, and resources related to counseling and psychotherapy. For example, the user can easily obtain information such as the definition of counseling, the types of psychotherapy, and available resources. In addition, as a daily consultation response, advice and relaxation methods for relieving the user's worries and stress can be presented. For example, if the user is feeling stressed, breathing techniques and simple exercises for relaxation can be suggested. Furthermore, the user's mood and emotions can be estimated. By the user recording their daily mood and emotions, it is possible to grasp the fluctuations and patterns of their mood and provide support based on that information. For example, when the user enters a diary or message, the AI ​​analyzes it and estimates the emotion. Support for the user can be provided based on the estimated mood and emotion. Specifically, guidelines for meditation, breathing techniques, and relaxation techniques are provided. It is also possible to provide music, audio content, and nutritional advice according to the user's mood. Furthermore, it has an emergency redirection function. Based on the estimated mood and emotion, it is determined whether the user is in an emergency state, and if an emergency is required, it is possible to notify an expert or an appropriate helpline. Finally, an interface is provided for visualizing the user's mood fluctuations, allowing the user to grasp the fluctuations of his or her mood at a glance. In this way, the present invention provides a multifunctional AI assistant for supporting online counseling and psychotherapy. As a result, the AI ​​assistant supporting online counseling and psychotherapy can provide comprehensive support to the user.

[0078] The online counseling or psychotherapy support system according to the embodiment includes an information providing unit, an advice presenting unit, an estimation unit, and a support unit. The information providing unit provides basic information, techniques, or resources related to counseling or psychotherapy to the user. For example, the information providing unit can provide information such as a definition of counseling, a type of psychotherapy, and available resources. The advice presenting unit presents advice or a relaxation method for relieving the user's mood in response to the user's worries. For example, the advice presenting unit can suggest a breathing technique or a simple exercise for relaxation when the user is feeling stressed. The estimation unit estimates the user's mood or emotion. For example, the estimation unit estimates the emotion by analyzing a diary or a message entered by the user. The estimation unit uses a generation AI to analyze the contents of the user's input and estimate the emotion. The generation AI uses a text generation AI (e.g., LLM) to analyze the contents of the user's input and estimate the emotion. The support unit provides support to the user based on the estimated mood or emotion. For example, the support unit can provide guidelines for meditation, breathing techniques, and relaxation techniques. In addition, the support unit can provide music, audio content, and nutritional advice according to the user's mood. This allows the online counseling and psychotherapy support system according to the embodiment to provide comprehensive support to the user.

[0079] The information providing unit provides the user with basic information, techniques, or resources related to counseling or psychotherapy. Specifically, the information providing unit can provide information on the definition and purpose of counseling, the types of psychotherapy and their effects, and available resources and support groups. For example, as a definition of counseling, the process of counseling is explained in detail, and what problems it is effective for. In addition, as types of psychotherapy, specific methods such as cognitive behavioral therapy, psychoanalytic therapy, and family therapy are explained in detail, along with their characteristics, scope of application, and effects. Furthermore, as available resources, information on online counseling services, local support groups, self-help books, applications, and the like is provided. This allows the user to understand the options for counseling or psychotherapy that are suitable for him or her, and to utilize appropriate resources. The information providing unit provides an interface that organizes this information in an easy-to-understand manner and allows the user to easily access it. For example, by organizing the information by category and providing a search function, the user can quickly find the information he or she needs. In addition, the information providing unit can provide the latest information at all times by regularly updating the information and reflecting the latest research results and new resources. This allows the information providing unit to enable the user to obtain accurate and up-to-date information regarding counseling and psychotherapy, thereby deepening the user's understanding.

[0080] The advice presenting unit presents advice or a relaxation method for relieving the user's mood in response to the user's worries. Specifically, the advice presenting unit can suggest breathing techniques or simple exercises for relaxing the user when the user is feeling stressed. For example, the advice presenting unit specifically explains easy relaxation methods, such as deep breathing, abdominal breathing, yoga poses, and stretching, so that the user can easily perform them at home. In addition, the advice presenting unit can provide advice that is individually customized according to the user's worries and circumstances. For example, for work stress, the advice presenting unit suggests time management, prioritization of tasks, and relaxation techniques, and for human relationship worries, the advice presenting unit advises improving communication skills and controlling emotions. Furthermore, the advice presenting unit can continuously improve the quality of the advice provided by collecting user feedback and evaluating the effectiveness of the advice. For example, the advice presenting unit collects feedback on the user's impressions and effects after the user puts the advice into practice, and reviews the advice content based on the data. In addition, the advice presenting unit can provide visual and auditory support, such as videos, audio guides, and illustrations, to make it easier for the user to put the advice into practice. As a result, the advice presenting unit can provide specific support for the user to reduce stress and worries and maintain mental and physical health.

[0081] The estimation unit estimates the mood or emotion of the user. Specifically, the estimation unit estimates the emotion by analyzing the diary and messages input by the user. The estimation unit uses the generation AI to analyze the user's input content and estimate the emotion. The generation AI uses a text generation AI (e.g., LLM) to analyze the user's input content and estimate the emotion. For example, if a user writes in his / her diary "I'm very tired today," the generation AI analyzes the keyword "tired" and estimates that the user is feeling tired. Also, if a user writes "I had a good time with my friends," the generation AI analyzes the keyword "fun" and estimates that the user is feeling joy or satisfaction. Furthermore, the estimation unit can perform more accurate emotion estimation by considering not only the user's input content, but also the frequency of input, time of day, and changes in writing style. For example, if a user frequently inputs negative content late at night, the estimation unit determines that the user is likely to be experiencing insomnia or stress. In addition, the estimation unit can improve the accuracy of emotion estimation by comparing with past data and data of other users. This enables the estimation unit to build a foundation for accurately grasping the user's mood and emotions and providing appropriate support.

[0082] The support unit provides support to the user based on the estimated mood or emotion. Specifically, the support unit can provide guidelines for meditation, breathing techniques, and relaxation techniques. For example, if it is estimated that the user is feeling stressed, the support unit provides detailed explanations of meditation methods and deep breathing techniques to support the user so that the user can relax. The support unit can also provide music, audio content, and nutritional advice according to the user's mood. For example, if the user is feeling anxious, the support unit provides relaxing music and natural sounds to help the user calm down. Furthermore, the support unit can collect user feedback and continuously improve the quality of the support provided. For example, the support unit collects feedback on the user's impressions and effects after practicing the provided support, and reviews the support content based on the data. The support unit can also provide visual and auditory support such as videos, audio guides, and illustrations to make it easier for the user to receive support. This allows the support unit to provide specific support to help the user reduce stress and worries and maintain physical and mental health. Furthermore, the support unit can respond in real time to quickly provide the support the user needs. For example, if a user needs emergency support, 24-hour support can be provided to ensure immediate response. This allows the support department to provide an environment where users can receive support at any time with peace of mind, and to support the users' physical and mental health.

[0083] The support unit can provide the user with guidelines for meditation, breathing techniques, or specific relaxation techniques. The support unit can provide, for example, meditation guidelines. Meditation includes mindfulness meditation, concentration meditation, guided meditation, and the like. For example, the support unit can provide guidelines for mindfulness meditation. The support unit can also provide guidelines for breathing techniques. Breathing techniques include deep breathing, abdominal breathing, 4-7-8 breathing, and the like. For example, the support unit can provide guidelines for deep breathing. Furthermore, the support unit can provide guidelines for relaxation techniques. Relaxation techniques include progressive muscle relaxation, image therapy, aromatherapy, and the like. For example, the support unit can provide guidelines for progressive muscle relaxation. This allows the support unit to provide the user with guidelines for relaxation.

[0084] The determination unit can determine whether the user is in a state requiring urgency according to a specific criterion based on the estimated mood or emotion. For example, the determination unit can determine that the user is in a state requiring urgency when there is a risk of self-harm. Furthermore, the determination unit can determine that the user is in a state requiring urgency when the user is in a serious depression. Furthermore, the determination unit can determine that the user is in a state requiring urgency when the user is having a panic attack. This allows the determination unit to determine whether the user is in a state requiring urgency. The notification unit can notify a specialist or a helpline when the determination unit determines that the user is in a state requiring urgency. For example, the notification unit can notify a clinical psychologist or a psychiatrist when the user is at risk of self-harm. Furthermore, the notification unit can notify an emergency consultation desk or a 24-hour hotline when the user is in a serious depression. Furthermore, the notification unit can notify a local support center when the user is having a panic attack. This allows the notification unit to take appropriate action when the user is in a state requiring urgency.

[0085] The interface may visualize the user's mood fluctuations in a specific manner. For example, the interface may visualize the user's mood fluctuations in a graph. The graph may display the user's mood fluctuations along a time axis. The interface may also visualize the user's mood fluctuations in a chart. The chart may display the user's mood fluctuations by category. The interface may also visualize the user's mood fluctuations in a color change. The color change may display the user's mood fluctuations in shades of color. This allows the interface to allow the user to grasp the user's mood fluctuations at a glance.

[0086] The estimation unit can estimate the emotion by analyzing the diary or message input by the user in a specific manner. The estimation unit can analyze the diary or message input by the user using, for example, text mining technology. The text mining technology can extract emotion from the user's input content. Furthermore, the estimation unit can analyze the diary or message input by the user using an emotion analysis algorithm. The emotion analysis algorithm can classify emotion from the user's input content. Furthermore, the estimation unit can analyze the diary or message input by the user using natural language processing technology. The natural language processing technology can understand emotion from the user's input content. This allows the estimation unit to accurately estimate emotion from the user's input content.

[0087] The support unit can provide music or audio content according to the user's mood. For example, when the user wants to relax, the support unit can provide relaxation music. Relaxation music includes natural sounds and calm melodies. Furthermore, when the user wants to concentrate, the support unit can provide music that enhances concentration. Music that enhances concentration includes fast-paced beats and energetic melodies. Furthermore, the support unit can provide positive music when the user wants to refresh. Positive music includes bright melodies and energetic rhythms. This allows the support unit to provide music and audio content that matches the user's mood.

[0088] The support unit can provide nutritional advice according to the mood of the user. For example, when the user is feeling stressed, the support unit can provide nutritional advice that is effective in reducing stress. The nutritional advice that is effective in reducing stress includes the intake of foods containing vitamin C and magnesium. Furthermore, when the user is feeling depressed, the support unit can provide nutritional advice that promotes a positive mood. The nutritional advice that promotes a positive mood includes the intake of foods containing omega-3 fatty acids and vitamin D. Furthermore, when the user is excited, the support unit can provide nutritional advice that enhances concentration. The nutritional advice that enhances concentration includes the intake of foods containing caffeine and antioxidants. This allows the support unit to provide nutritional advice that matches the mood of the user.

[0089] The support unit can start a relaxation guide and send a message to a friend when the estimated mood or emotion becomes a specific mood or emotion. For example, the support unit can start a relaxation guide when the user is feeling stressed. The relaxation guide includes a meditation guide, a deep breathing guide, and a relaxation exercise. For example, the support unit can start a meditation guide when the user is feeling stressed. Also, the support unit can send a message to a friend when the user is feeling sad. Sending a message to a friend includes an encouraging message, a request for support, an explanation of the situation, and the like. For example, the support unit can send an encouraging message to a friend when the user is feeling sad. This allows the support unit to take an appropriate response according to the specific mood or emotion.

[0090] The information providing unit can estimate the user's emotions and adjust the type of information to be provided based on the estimated user's emotions. For example, when the user is feeling stressed, the information providing unit can provide information on relaxation methods and stress reduction techniques with priority. Relaxation methods include deep breathing, meditation, yoga, and the like. Stress reduction techniques include cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user is feeling stressed, the information providing unit can provide information on deep breathing methods and cognitive behavioral therapy techniques. Furthermore, when the user is excited, the information providing unit can provide information on techniques and activities for improving concentration. Techniques for improving concentration include time management, goal setting, and exercises for improving concentration. For example, when the user is excited, the information providing unit can provide information on time management methods and exercises for improving concentration. Furthermore, when the user is depressed, the information providing unit can provide information for encouraging positive thinking and encouraging messages. Information for encouraging positive thinking includes positive self-talk, gratitude practice, goal setting, and the like. For example, if the user is feeling down, the information providing unit can provide information on how to have positive self-talk or how to practice gratitude, thereby enabling the information providing unit to provide appropriate information according to the user's emotions.

[0091] The information providing unit can analyze the past search history of the user and provide optimal information preferentially. For example, the information providing unit can preferentially display information on counseling techniques searched for by the user in the past. Counseling techniques include cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, the information providing unit can preferentially display information on cognitive behavioral therapy techniques searched for by the user in the past. Furthermore, the information providing unit can preferentially provide information on relaxation methods frequently searched for by the user. Relaxation methods include deep breathing, meditation, yoga, and the like. For example, the information providing unit can preferentially provide information on deep breathing methods frequently searched for by the user. Furthermore, the information providing unit can preferentially display information on a specific psychotherapy searched for by the user in the past. Psychotherapy includes cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, the information providing unit can preferentially display information on cognitive behavioral therapy searched for by the user in the past. This allows the information providing unit to provide optimal information based on the past search history of the user.

[0092] The information providing unit can adjust the level of detail of the information to be provided according to the user's level of understanding. For example, when the user is a beginner, the information providing unit can provide basic information and a simple explanation. The basic information includes the definition of counseling, the type of psychotherapy, and available resources. For example, when the user is a beginner, the information providing unit can provide basic information on the definition of counseling and the type of psychotherapy. Furthermore, when the user is an intermediate user, the information providing unit can provide detailed techniques and application methods. The detailed techniques include specific techniques of cognitive behavioral therapy, methods of practicing mindfulness, and methods of applying relaxation techniques. For example, when the user is an intermediate user, the information providing unit can provide detailed information on specific techniques of cognitive behavioral therapy and methods of practicing mindfulness. Furthermore, when the user is an advanced user, the information providing unit can provide specialized information and the latest research results. The specialized information includes the latest research results of psychotherapy, expert advice, the latest techniques, and the like. For example, when the user is an advanced user, the information providing unit can provide information on the latest research results of psychotherapy and expert advice. This allows the information providing unit to provide appropriate information according to the user's level of understanding.

[0093] The information providing unit can estimate the user's emotion and adjust the display method of information based on the estimated user's emotion. For example, when the user is nervous, the information providing unit can display information in an interface with a calm color. The calm color includes calm colors such as blue and green. For example, when the user is nervous, the information providing unit can display information in a blue or green color. Furthermore, when the user is relaxed, the information providing unit can display information in an interface with a bright color. The bright color includes cheerful colors such as yellow and orange. For example, when the user is relaxed, the information providing unit can display information in a yellow or orange color. Furthermore, when the user is tired, the information providing unit can display information in a simple and highly visible interface. The simple and highly visible interface includes high-contrast colors such as white and black. For example, when the user is tired, the information providing unit can display information in a white or black color. This allows the information providing unit to provide an appropriate display method according to the user's emotion.

[0094] The information providing unit can provide resources specific to a region in consideration of the geographical location information of the user. For example, when the user is in a particular region, the information providing unit can provide information on counseling services available in the region. The counseling services include local counseling centers, local support groups, psychotherapy specific to the region, and the like. For example, when the user is in a particular region, the information providing unit can provide information on counseling centers and support groups in the region. In addition, when the user is in a particular region, the information providing unit can provide information on relaxation workshops held in the region. The relaxation workshops include meditation workshops, yoga classes, relaxation exercises, and the like. For example, when the user is in a particular region, the information providing unit can provide information on meditation workshops and yoga classes held in the region. In addition, when the user is in a particular region, the information providing unit can provide information on psychotherapy resources available in the region. The psychotherapy resources include psychotherapy clinics in the region, expert advice, psychotherapy techniques specific to the region, and the like. For example, when the user is in a particular region, the information providing unit can provide information on psychotherapy clinics and expert advice in the region. This allows the information providing unit to provide appropriate resources based on the geographical location of the user.

[0095] The information providing unit can analyze the social media activity of the user and provide related information. For example, when the user posts about stress on social media, the information providing unit can provide information about stress reduction techniques. Stress reduction techniques include cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts about stress on social media, the information providing unit can provide information about cognitive behavioral therapy techniques and mindfulness. Furthermore, when the user posts about relaxation on social media, the information providing unit can provide information about relaxation methods. Relaxation methods include deep breathing, meditation, yoga, and the like. For example, when the user posts about relaxation on social media, the information providing unit can provide information about deep breathing methods and meditation. Furthermore, when the user posts about psychotherapy on social media, the information providing unit can provide information about psychotherapy. Psychotherapy includes cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts about psychotherapy on social media, the information providing unit can provide information about cognitive behavioral therapy and mindfulness. This enables the information providing unit to provide appropriate information based on the user's social media activity.

[0096] The advice presenting unit can estimate the user's emotions and adjust the contents of the advice based on the estimated user's emotions. For example, when the user is stressed, the advice presenting unit can suggest a breathing technique or a simple exercise for relaxation. Breathing techniques for relaxation include deep breathing, abdominal breathing, 4-7-8 breathing, and the like. For example, when the user is stressed, the advice presenting unit can suggest a method of deep breathing or a technique of abdominal breathing. Furthermore, when the user is depressed, the advice presenting unit can provide advice for encouraging positive thinking. Advice for encouraging positive thinking includes positive self-talk, practicing gratitude, goal setting, and the like. For example, when the user is depressed, the advice presenting unit can provide advice on a method of positive self-talk or practicing gratitude. Furthermore, when the user is excited, the advice presenting unit can suggest a technique for improving concentration. Techniques for improving concentration include time management, goal setting, exercises for improving concentration, and the like. For example, when the user is excited, the advice presenting unit can provide advice on a method of time management or exercises for improving concentration. This allows the advice presenting unit to provide appropriate advice according to the user's emotions.

[0097] The advice presenting unit can analyze the user's past consultation history and provide optimal advice. The advice presenting unit can provide relevant advice based on, for example, the content of the consultation the user has had in the past. The past consultation content includes problems and worries the user has, and the effects of advice received in the past. For example, the advice presenting unit can provide relevant advice based on the content of the stress management method that the user has consulted about in the past. Furthermore, the advice presenting unit can analyze the effects of advice that the user has received in the past and provide optimal advice. The effects of the advice include results and feedback of the user putting the advice into practice. For example, the advice presenting unit can analyze the effects of advice on relaxation techniques that the user has received in the past and provide optimal advice. Furthermore, the advice presenting unit can find a specific pattern from the user's past consultation history and provide advice based on the pattern. The specific pattern includes problems and worries that the user repeatedly consults about, and advice that has been effective in the past. For example, the advice presenting unit can find a specific pattern related to stress management from the user's past consultation history and provide advice based on the pattern. This allows the advice presenting unit to provide appropriate advice based on the user's past consultation history.

[0098] The advice presenting unit can adjust the level of detail of the advice according to the user's level of understanding. For example, when the user is a beginner, the advice presenting unit can provide basic advice and a simple explanation. The basic advice includes a method of stress management, promotion of positive thinking, and relaxation techniques. For example, when the user is a beginner, the advice presenting unit can provide a basic method of stress management and a simple explanation on promotion of positive thinking. Furthermore, when the user is an intermediate user, the advice presenting unit can provide detailed techniques and application methods. The detailed techniques include specific techniques of cognitive behavioral therapy, methods of practicing mindfulness, and methods of applying relaxation techniques. For example, when the user is an intermediate user, the advice presenting unit can provide detailed information on specific techniques of cognitive behavioral therapy and methods of practicing mindfulness. Furthermore, when the user is an advanced user, the advice presenting unit can provide specialized advice and the latest research results. The specialized advice includes the latest research results of psychotherapy, expert advice, and the latest techniques. For example, when the user is an advanced user, the advice presenting unit can provide information on the latest research results of psychotherapy and expert advice. This allows the advice presenter to provide appropriate advice according to the user's level of understanding.

[0099] The advice presenting unit can estimate the user's emotion and adjust the display method of the advice based on the estimated user's emotion. For example, when the user is nervous, the advice presenting unit can display the advice in an interface with a calm color. The calm color includes calm colors such as blue and green. For example, when the user is nervous, the advice presenting unit can display the advice in a blue or green color. Furthermore, when the user is relaxed, the advice presenting unit can display the advice in an interface with a bright color. The bright color includes cheerful colors such as yellow and orange. For example, when the user is relaxed, the advice presenting unit can display the advice in a yellow or orange color. Furthermore, when the user is tired, the advice presenting unit can display the advice in a simple and highly visible interface. The simple and highly visible interface includes high-contrast colors such as white and black. For example, when the user is tired, the advice presenting unit can display the advice in a white or black color. This allows the advice presenting unit to provide an appropriate display method according to the user's emotion.

[0100] The advice presenting unit can provide advice specific to a region, taking into account the geographical location information of the user. For example, when the user is in a particular region, the advice presenting unit can provide information on counseling services available in the region. The counseling services include local counseling centers, local support groups, psychotherapy specific to the region, and the like. For example, when the user is in a particular region, the advice presenting unit can provide information on counseling centers and support groups in the region. In addition, when the user is in a particular region, the advice presenting unit can provide information on relaxation workshops held in the region. The relaxation workshops include meditation workshops, yoga classes, relaxation exercises, and the like. For example, when the user is in a particular region, the advice presenting unit can provide information on meditation workshops and yoga classes held in the region. In addition, when the user is in a particular region, the advice presenting unit can provide information on psychotherapy resources available in the region. The psychotherapy resources include psychotherapy clinics in the region, expert advice, psychotherapy techniques specific to the region, and the like. For example, when the user is in a particular region, the advice presenting unit can provide information on psychotherapy clinics and expert advice in the region. This allows the advice presenting unit to provide appropriate advice based on the geographical location of the user.

[0101] The advice presenting unit can analyze the user's social media activity and provide related advice. For example, when the user posts on social media about stress, the advice presenting unit can provide advice on stress reduction techniques. Stress reduction techniques include cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts on social media about stress, the advice presenting unit can provide advice on cognitive behavioral therapy techniques and mindfulness. Furthermore, when the user posts on social media about relaxation, the advice presenting unit can provide advice on relaxation methods. Relaxation methods include deep breathing, meditation, yoga, and the like. For example, when the user posts on social media about relaxation, the advice presenting unit can provide advice on deep breathing methods and meditation. Furthermore, when the user posts on social media about psychotherapy, the advice presenting unit can provide advice on psychotherapy. Psychotherapy includes cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts on social media about psychotherapy, the advice presenting unit can provide advice on cognitive behavioral therapy and mindfulness. This enables the advice presenter to provide appropriate advice based on the user's social media activity.

[0102] The estimation unit can estimate the user's emotion and adjust the estimation algorithm based on the estimated user's emotion. For example, when the user is feeling stressed, the estimation unit can adjust the estimation algorithm by placing emphasis on data related to stress reduction. The data related to stress reduction includes the user's stress level, the cause of stress, and a method of reducing stress. For example, when the user is feeling stressed, the estimation unit can adjust the estimation algorithm based on the user's stress level and the cause of stress. Furthermore, when the user is depressed, the estimation unit can adjust the estimation algorithm by placing emphasis on data that promotes positive emotions. The data that promotes positive emotions includes the user's emotion score, a method of promoting positive thinking, and past positive experiences. For example, when the user is depressed, the estimation unit can adjust the estimation algorithm based on the user's emotion score and a method of promoting positive thinking. Furthermore, when the user is excited, the estimation unit can adjust the estimation algorithm by placing emphasis on data that enhances concentration. The data that enhances concentration includes the user's concentration level, a method of enhancing concentration, and past experiences of improving concentration. For example, when the user is excited, the estimation unit can adjust the estimation algorithm based on the user's concentration level and a method of enhancing concentration. This enables the estimation unit to provide an appropriate estimation algorithm according to the user's emotion.

[0103] The estimation unit can analyze the user's past emotion data and improve the accuracy of the estimation. For example, the estimation unit can estimate the current emotion based on the emotion data recorded by the user in the past. The past emotion data includes the user's self-report, emotion diary, sensor data, and the like. For example, the estimation unit can estimate the current emotion based on the emotion diary recorded by the user in the past. Furthermore, the estimation unit can find a specific pattern from the user's past emotion data and improve the accuracy of the estimation based on the specific pattern. The specific pattern includes the user's emotion fluctuation pattern, emotion trigger, emotion duration, and the like. For example, the estimation unit can find an emotion fluctuation pattern from the user's past emotion data and improve the accuracy of the estimation based on the specific pattern. Furthermore, the estimation unit can analyze the user's past emotion data and grasp the emotion fluctuation pattern to improve the accuracy of the estimation. The emotion fluctuation pattern includes the user's emotion periodicity, emotion intensity, emotion duration, and the like. For example, the estimation unit can analyze the user's past emotion data and grasp the emotion periodicity to improve the accuracy of the estimation. This enables the estimation unit to provide an appropriate estimation based on the user's past emotion data.

[0104] The estimation unit can display the estimation result according to the user's level of understanding. For example, when the user is a beginner, the estimation unit can display the estimation result together with a simple explanation. The simple explanation includes an overview of the estimation result, a simple explanation of the estimation method, and a method for interpreting the estimation result. For example, when the user is a beginner, the estimation unit can display an overview of the estimation result and a simple explanation of the estimation method. Furthermore, when the user is an intermediate user, the estimation unit can display the estimation result together with detailed data. The detailed data includes a detailed explanation of the estimation result, a detailed explanation of the estimation method, and a specific method for interpreting the estimation result. For example, when the user is an intermediate user, the estimation unit can display a detailed explanation of the estimation result and a detailed explanation of the estimation method. Furthermore, when the user is an advanced user, the estimation unit can display the estimation result together with specialized information. The specialized information includes a specialized interpretation of the estimation result, a specialized explanation of the estimation method, and a method for applying the estimation result. For example, when the user is an advanced user, the estimation unit can display a specialized interpretation of the estimation result and a specialized explanation of the estimation method. This allows the estimation unit to provide an appropriate estimation result according to the user's level of understanding.

[0105] The estimation unit can estimate the user's emotion and adjust the display method of the estimation result based on the estimated user's emotion. For example, when the user is nervous, the estimation unit can display the estimation result in an interface with a calm color. Calm colors include calm colors such as blue and green. For example, when the user is nervous, the estimation unit can display the estimation result in a blue or green color. Furthermore, when the user is relaxed, the estimation unit can display the estimation result in an interface with a bright color. Bright colors include cheerful colors such as yellow and orange. For example, when the user is relaxed, the estimation unit can display the estimation result in a yellow or orange color. Furthermore, when the user is tired, the estimation unit can display the estimation result in a simple and highly visible interface. Simple and highly visible interfaces include high-contrast colors such as white and black. For example, when the user is tired, the estimation unit can display the estimation result in a white or black color. This allows the estimation unit to provide an appropriate display method according to the user's emotion.

[0106] The estimation unit can perform region-specific emotion estimation in consideration of the geographical location information of the user. For example, when the user is in a specific region, the estimation unit can estimate the emotion in consideration of the culture and customs of the region. The culture and customs of the region include stress factors specific to the region, events and events of the region, and the climate and environment of the region. For example, when the user is in a specific region, the estimation unit can estimate the emotion based on the culture and customs of the region. Furthermore, when the user is in a specific region, the estimation unit can estimate the emotion in consideration of the climate and environment of the region. The climate and environment of the region include temperature, humidity, weather, natural environment, and the like. For example, when the user is in a specific region, the estimation unit can estimate the emotion based on the temperature and weather of the region. Furthermore, when the user is in a specific region, the estimation unit can estimate the emotion in consideration of events and events of the region. The events and events of the region include festivals, sporting events, cultural events, and the like of the region. For example, when the user is in a specific region, the estimation unit can estimate the emotion based on festivals and sporting events of the region. This allows the estimation unit to provide an appropriate emotion estimation based on the geographical location of the user.

[0107] The estimation unit can analyze the social media activity of the user and perform related emotion estimation. For example, when the user posts on social media about stress, the estimation unit can estimate that the user is feeling stressed. The stress-related posts include the user's stress level, the cause of stress, and a method of reducing stress. For example, when the user posts on social media about stress, the estimation unit can estimate the emotion based on the user's stress level and the cause of stress. Furthermore, when the user posts on social media about relaxation, the estimation unit can estimate that the user is relaxed. The relaxation-related posts include the user's relaxation level, the relaxation method, and the effect of relaxation. For example, when the user posts on social media about relaxation, the estimation unit can estimate the emotion based on the user's relaxation level and the relaxation method. Furthermore, when the user posts on social media about psychotherapy, the estimation unit can estimate that the user needs psychological support. The psychotherapy-related posts include the user's psychological state, the psychotherapy method, and the effect of psychotherapy. For example, when the user posts on social media about psychotherapy, the estimation unit can estimate the emotion based on the user's psychological state and the psychotherapy method. This enables the estimation unit to provide appropriate emotion estimations based on the user's social media activity.

[0108] The support unit can estimate the user's emotions and adjust the support content based on the estimated user's emotions. For example, when the user is feeling stressed, the support unit can suggest a meditation or breathing technique for relaxation. Meditation for relaxation includes mindfulness meditation, concentration meditation, guided meditation, and the like. For example, when the user is feeling stressed, the support unit can suggest a method of mindfulness meditation. Furthermore, when the user is feeling depressed, the support unit can provide a relaxation technique for encouraging positive thinking. Relaxation techniques for encouraging positive thinking include positive self-talk, gratitude practice, goal setting, and the like. For example, when the user is feeling depressed, the support unit can provide a relaxation technique related to a method of positive self-talk or gratitude practice. Furthermore, when the user is excited, the support unit can suggest an activity for improving concentration. Activities for improving concentration include time management, goal setting, exercises for improving concentration, and the like. For example, when the user is excited, the support unit can suggest an activity related to a method of time management or exercises for improving concentration. This allows the support unit to provide appropriate support according to the user's emotions.

[0109] The support unit can analyze the user's past support history and provide optimal support. For example, the support unit can analyze the effect of the support the user has received in the past and provide optimal support. The effect of the support includes the result of the user practicing the support and feedback. For example, the support unit can analyze the effect of the support of the relaxation technique that the user has received in the past and provide optimal support. Furthermore, the support unit can find a specific pattern from the user's past support history and provide support based on the pattern. The specific pattern includes the type and effect of the support that the user repeatedly receives, and support that has been effective in the past. For example, the support unit can find a specific pattern related to stress management from the user's past support history and provide support based on the pattern. Furthermore, the support unit can provide optimal support based on the relaxation technique that the user has used in the past. The relaxation technique includes deep breathing, meditation, yoga, and the like. For example, the support unit can provide optimal support based on the deep breathing technique that the user has used in the past. This allows the support unit to provide appropriate support based on the user's past support history.

[0110] The support unit can adjust the level of detail of the support according to the user's level of understanding. For example, when the user is a beginner, the support unit can provide basic support and a simple explanation. The basic support includes a method of stress management, promotion of positive thinking, and relaxation techniques. For example, when the user is a beginner, the support unit can provide a basic method of stress management and a simple explanation on promotion of positive thinking. Furthermore, when the user is an intermediate user, the support unit can provide detailed techniques and application methods. The detailed techniques include specific techniques of cognitive behavioral therapy, methods of practicing mindfulness, and methods of applying relaxation techniques. For example, when the user is an intermediate user, the support unit can provide detailed information on specific techniques of cognitive behavioral therapy and methods of practicing mindfulness. Furthermore, when the user is an advanced user, the support unit can provide specialized support and the latest research results. The specialized support includes the latest research results of psychotherapy, expert advice, the latest techniques, and the like. For example, when the user is an advanced user, the support unit can provide information on the latest research results of psychotherapy and expert advice. This allows the support unit to provide appropriate support according to the user's level of understanding.

[0111] The support unit can estimate the user's emotion and adjust the display method of the support based on the estimated user's emotion. For example, when the user is nervous, the support unit can display the support in an interface with a calm color. Calm colors include calm colors such as blue and green. For example, when the user is nervous, the support unit can display the support in a blue or green color. Furthermore, when the user is relaxed, the support unit can display the support in an interface with a bright color. Bright colors include cheerful colors such as yellow and orange. For example, when the user is relaxed, the support unit can display the support in a yellow or orange color. Furthermore, when the user is tired, the support unit can display the support in a simple and highly visible interface. The simple and highly visible interface includes high-contrast colors such as white and black. For example, when the user is tired, the support unit can display the support in a white or black color. This allows the support unit to provide an appropriate display method according to the user's emotion.

[0112] The support unit can provide region-specific support taking into account the geographic location information of the user. For example, when the user is in a particular region, the support unit can provide information on counseling services available in the region. Counseling services include local counseling centers, local support groups, psychotherapy specific to the region, and the like. For example, when the user is in a particular region, the support unit can provide information on counseling centers and support groups in the region. In addition, when the user is in a particular region, the support unit can provide information on relaxation workshops held in the region. Relaxation workshops include meditation workshops, yoga classes, relaxation exercises, and the like. For example, when the user is in a particular region, the support unit can provide information on meditation workshops and yoga classes held in the region. In addition, when the user is in a particular region, the support unit can provide information on psychotherapy resources available in the region. Psychotherapy resources include psychotherapy clinics in the region, expert advice, psychotherapy techniques specific to the region, and the like. For example, when the user is in a particular region, the support unit can provide information on psychotherapy clinics and expert advice in the region. This allows the support unit to provide appropriate support based on the geographic location of the user.

[0113] The support unit can analyze the user's social media activities and provide related support. For example, when the user posts on social media about stress, the support unit can provide support on stress reduction techniques. Stress reduction techniques include cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts on social media about stress, the support unit can provide support on cognitive behavioral therapy techniques and mindfulness. Furthermore, when the user posts on social media about relaxation, the support unit can provide support on relaxation methods. Relaxation methods include deep breathing, meditation, yoga, and the like. For example, when the user posts on social media about relaxation, the support unit can provide support on deep breathing methods and meditation. Furthermore, when the user posts on social media about psychotherapy, the support unit can provide support on psychotherapy. Psychotherapy includes cognitive behavioral therapy, mindfulness, relaxation techniques, and the like. For example, when the user posts on social media about psychotherapy, the support unit can provide support on cognitive behavioral therapy and mindfulness. This enables the support department to provide appropriate support based on the user's social media activity.

[0114] The determination unit can estimate the user's emotion and adjust the urgency determination criteria based on the estimated user's emotion. For example, when the user is feeling strong stress, the determination unit can set the urgency determination criteria low. The urgency determination criteria include the user's stress level, the cause of stress, a method of reducing stress, and the like. For example, when the user is feeling strong stress, the determination unit can set the urgency determination criteria low based on the user's stress level and the cause of stress. Furthermore, when the user is depressed, the determination unit can adjust the urgency determination criteria to respond early. The urgency determination criteria include the user's emotion score, a method of promoting positive thinking, past emotion data, and the like. For example, when the user is depressed, the determination unit can adjust the urgency determination criteria based on the user's emotion score and the method of promoting positive thinking. Furthermore, when the user is excited, the determination unit can adjust the urgency determination criteria to respond appropriately. The urgency determination criteria include the user's concentration level, a method of increasing concentration, past emotion data, and the like. For example, when the user is excited, the determination unit can adjust the urgency determination criteria based on the user's concentration level and the method of increasing concentration. This enables the determination unit to provide an appropriate criterion for determining urgency according to the user's emotions.

[0115] The determination unit can analyze the user's past emergency history and improve the accuracy of the determination. The determination unit can, for example, determine the current urgency based on data of emergency situations experienced by the user in the past. The data of past emergency situations includes the user's self-report, details of the emergency, and a method of dealing with the emergency. For example, the determination unit can determine the current urgency based on the self-report of an emergency situation experienced by the user in the past. The determination unit can also find a specific pattern from the user's past emergency history and improve the accuracy of the determination based on the specific pattern. The specific pattern includes the type and cause of an emergency situation repeatedly experienced by the user, and a method of dealing with an emergency that was effective in the past. For example, the determination unit can find a specific pattern from the user's past emergency history and improve the accuracy of the determination based on the specific pattern. Furthermore, the determination unit can analyze the user's past emergency history and grasp the fluctuation pattern of the urgency to improve the accuracy of the determination. The fluctuation pattern of the urgency includes the periodicity of the user's emergency, the intensity of the emergency, and the duration of the emergency. For example, the determination unit can analyze the user's past emergency history and grasp the periodicity of the urgency to improve the accuracy of the determination. This enables the determination unit to provide an appropriate determination based on the user's past emergency situation history.

[0116] The determination unit can estimate the user's emotion and adjust the display method of the urgency based on the estimated user's emotion. For example, when the user is nervous, the determination unit can display the urgency in an interface with a calm color. The calm color includes calm colors such as blue and green. For example, when the user is nervous, the determination unit can display the urgency in a blue or green color. Furthermore, when the user is relaxed, the determination unit can display the urgency in an interface with a bright color. The bright color includes cheerful colors such as yellow and orange. For example, when the user is relaxed, the determination unit can display the urgency in a yellow or orange color. Furthermore, when the user is tired, the determination unit can display the urgency in a simple and highly visible interface. The simple and highly visible interface includes high-contrast colors such as white and black. For example, when the user is tired, the determination unit can display the urgency in a white or black color. This allows the determination unit to provide an appropriate display method according to the user's emotion.

[0117] The determination unit can perform a region-specific urgency determination taking into account the geographical location information of the user. For example, when the user is in a specific region, the determination unit can determine the urgency taking into account medical resources of the region. The medical resources of the region include hospitals, clinics, emergency medical services, etc. in the region. For example, when the user is in a specific region, the determination unit can determine the urgency based on hospitals and clinics in the region. Furthermore, when the user is in a specific region, the determination unit can determine the urgency taking into account the climate and environment of the region. The climate and environment of the region include temperature, humidity, weather, natural environment, etc. For example, when the user is in a specific region, the determination unit can determine the urgency based on the temperature and weather of the region. Furthermore, when the user is in a specific region, the determination unit can determine the urgency taking into account events and events of the region. The events and events of the region include festivals, sporting events, cultural events, etc. in the region. For example, when the user is in a specific region, the determination unit can determine the urgency based on festivals and sporting events in the region. This allows the determination unit to provide an appropriate urgency determination based on the geographical location of the user.

[0118] The notification unit can estimate the user's emotion and adjust the notification content based on the estimated user's emotion. For example, when the user is feeling stressed, the notification unit can transmit a notification for relaxing. The notification for relaxing includes a suggestion of a relaxation technique, provision of relaxing music, and guidance of a relaxation exercise. For example, when the user is feeling stressed, the notification unit can transmit a notification regarding a suggestion of a relaxation technique or provision of relaxing music. Furthermore, when the user is feeling depressed, the notification unit can transmit a notification including a positive message. The positive message includes words of encouragement, promotion of positive thinking, and a suggestion of gratitude practice. For example, when the user is feeling depressed, the notification unit can transmit a notification regarding words of encouragement or promotion of positive thinking. Furthermore, when the user is excited, the notification unit can transmit a notification for improving concentration. The notification for improving concentration includes a suggestion of time management, guidance of an exercise for improving concentration, and provision of music for improving concentration. For example, when the user is excited, the notification unit can transmit a notification regarding a suggestion of time management or an exercise for improving concentration. This allows the notification unit to provide appropriate notification content according to the user's emotion.

[0119] The notification unit can analyze the user's past notification history and select the optimal notification method. The notification unit can, for example, analyze the effect of notifications received by the user in the past and select the optimal notification method. The effect of the notification includes the user's feedback, the result of practicing the notification, the frequency of receiving the notification, and the like. For example, the notification unit can analyze the effect of the notification of the relaxation technique received by the user in the past and select the optimal notification method. Furthermore, the notification unit can find a specific pattern from the user's past notification history and select the optimal notification method based on the pattern. The specific pattern includes the type and effect of the notification that the user repeatedly receives, the notification method that was effective in the past, and the like. For example, the notification unit can find a specific pattern from the user's past notification history and select the optimal notification method based on the pattern. Furthermore, the notification unit can select the optimal notification method based on the content of the notification received by the user in the past. The content of the notification includes suggestions for relaxation techniques, positive messages, and guidance on exercises to improve concentration. For example, the notification unit can select the optimal notification method based on the content of the notification of the relaxation technique received by the user in the past. This allows the notification unit to provide an appropriate notification method based on the user's past notification history.

[0120] The notification unit can estimate the user's emotion and adjust the display method of the notification based on the estimated user's emotion. For example, when the user is nervous, the notification unit can display the notification in an interface with a calm color. Calm colors include calm colors such as blue and green. For example, when the user is nervous, the notification unit can display the notification in a blue or green color. Furthermore, when the user is relaxed, the notification unit can display the notification in an interface with a bright color. Bright colors include cheerful colors such as yellow and orange. For example, when the user is relaxed, the notification unit can display the notification in a yellow or orange color. Furthermore, when the user is tired, the notification unit can display the notification in a simple and highly visible interface. Simple and highly visible interfaces include high-contrast colors such as white and black. For example, when the user is tired, the notification unit can display the notification in a white or black color. This allows the notification unit to provide an appropriate display method according to the user's emotion.

[0121] The notification unit may provide region-specific notifications taking into account the geographic location information of the user. For example, when the user is in a particular region, the notification unit may notify the user of information on counseling services available in the region. Counseling services include local counseling centers, local support groups, psychotherapy specific to the region, and the like. For example, when the user is in a particular region, the notification unit may notify the user of information on counseling centers and support groups in the region. In addition, the notification unit may notify the user of information on relaxation workshops held in the region when the user is in a particular region. Relaxation workshops include meditation workshops, yoga classes, relaxation exercises, and the like. For example, when the user is in a particular region, the notification unit may notify the user of information on meditation workshops and yoga classes held in the region. In addition, the notification unit may notify the user of information on psychotherapy resources available in the region when the user is in a particular region. Psychotherapy resources include local psychotherapy clinics, expert advice, psychotherapy techniques specific to the region, and the like. For example, when the user is in a particular region, the notification unit may notify the user of information on psychotherapy clinics and expert advice in the region. This allows the notification unit to provide appropriate notifications based on the geographic location of the user.

[0122] The interface can estimate the user's emotion and adjust the display method of the interface based on the estimated user's emotion. For example, the interface can provide an interface with a calm color when the user is nervous. Calm colors include calm colors such as blue and green. For example, the interface can provide an interface with a blue or green color when the user is nervous. Also, the interface can provide an interface with a bright color when the user is relaxed. Bright colors include cheerful colors such as yellow and orange. For example, the interface can provide an interface with a yellow or orange color when the user is relaxed. Furthermore, the interface can provide a simple and highly visible interface when the user is tired. Simple and highly visible interfaces include high-contrast colors such as white and black. For example, the interface can provide an interface with a white or black color when the user is tired. In this way, the interface can provide an appropriate display method according to the user's emotion.

[0123] The interface can select an optimal display method by referring to the user's past operation history. The interface can provide an optimal display method, for example, based on the interface settings used by the user in the past. The interface settings include the user's customization settings, the selection of the display method, the setting of the operation procedure, and the like. For example, the interface can provide an optimal display method, based on the customization settings used by the user in the past. The interface can also find a specific pattern from the user's past operation history and provide an optimal display method based on the pattern. The specific pattern includes a display method or operation procedure that the user uses repeatedly, a display method that was effective in the past, and the like. The customization settings include the selection of the display method, the setting of the operation procedure, the layout of the interface, and the like. For example, the interface can provide an optimal display method, based on the user's past operation history. In this way, the interface can provide an appropriate display method based on the user's past operation history.

[0124] The interface can estimate the user's emotion and adjust the operation procedure of the interface based on the estimated user's emotion. For example, the interface can provide a simple and intuitive operation procedure when the user is nervous. The simple and intuitive operation procedure includes an operation completed in fewer steps, a visually easy-to-understand interface, intuitive icons and buttons, and the like. For example, the interface can provide an operation completed in fewer steps and a visually easy-to-understand interface when the user is nervous. In addition, the interface can provide detailed operation procedures when the user is relaxed. The detailed operation procedure includes a step-by-step guide, detailed explanations, operation hints, and the like. For example, the interface can provide a step-by-step guide and detailed explanations when the user is relaxed. In addition, the interface can provide minimal operation procedures when the user is tired. The minimal operation procedure includes a concise operation, an operation completed in fewer steps, a visually easy-to-understand interface, and the like. For example, the interface can provide a concise operation and an operation completed in fewer steps when the user is tired. In this way, the interface can provide an appropriate operation procedure according to the user's emotion.

[0125] The interface can select an optimal display method in consideration of the device information of the user. For example, when the user is using a smartphone, the interface can provide a display method that matches the screen size. The screen size of the smartphone includes a small screen, a vertically long screen, an interface optimized for touch operation, and the like. For example, when the user is using a smartphone, the interface can provide a display method that is optimized for a small screen or a vertically long screen. In addition, when the user is using a tablet, the interface can provide a display method that is optimized for a large screen. The screen size of the tablet includes a large screen, a horizontally long screen, an interface optimized for touch operation, and the like. For example, when the user is using a tablet, the interface can provide a display method that is optimized for a large screen or a horizontally long screen. In addition, when the user is using a smart watch, the interface can provide a simple and highly visible display method. The screen size of the smart watch includes a small screen, a circular screen, an interface optimized for touch operation, and the like. For example, when the user is using a smart watch, the interface can provide a display method that is optimized for a small screen or a circular screen. This allows the interface to provide an appropriate display method based on the device information of the user.

[0126] The music or audio content providing unit can estimate the user's emotion and adjust the type of music or audio content to be provided based on the estimated user's emotion. For example, the music or audio content providing unit can provide relaxing music when the user is stressed. Relaxing music includes natural sounds, calm melodies, relaxation music, and the like. For example, the music or audio content providing unit can provide music with natural sounds or calm melodies when the user is stressed. Furthermore, the music or audio content providing unit can provide music that makes the user feel positive when the user is depressed. Music that makes the user feel positive includes bright melodies, energetic rhythms, positive lyrics, and the like. For example, the music or audio content providing unit can provide music with bright melodies or energetic rhythms when the user is depressed. Furthermore, the music or audio content providing unit can provide music that enhances concentration when the user is excited. Music that enhances concentration includes fast-paced beats, energetic melodies, rhythms that enhance concentration, and the like. For example, the music or audio content providing unit can provide music with fast-paced beats or energetic melodies when the user is excited. This allows the music or audio content providing unit to provide appropriate music or audio content in accordance with the user's emotions.

[0127] The music or audio content providing unit can analyze the user's past music or audio content history and provide optimal content. The music or audio content providing unit can provide optimal music, for example, based on relaxing music that the user has listened to in the past. Relaxing music includes natural sounds, gentle melodies, and relaxation music. For example, the music or audio content providing unit can provide optimal music based on natural sounds and gentle melodies that the user has listened to in the past. In addition, the music or audio content providing unit can find a specific pattern from the user's past music history and provide optimal music based on the pattern. The specific pattern includes the type and effect of music that the user repeatedly listens to, music that has been effective in the past, and the like. Furthermore, the music or audio content providing unit can provide optimal content based on audio content that the user has listened to in the past. Audio content includes podcasts, audiobooks, relaxation guides, and the like. For example, the music or audio content providing unit can provide optimal audio content based on podcasts and audiobooks that the user has listened to in the past. This allows the music or audio content providing unit to provide appropriate music and audio content based on the user's past history.

[0128] The music or audio content providing unit can adjust the level of detail of the music or audio content to be provided according to the user's level of understanding. For example, if the user is a beginner, the music or audio content providing unit can provide basic music and a simple explanation. The basic music includes relaxing music, positive music, and music that enhances concentration. For example, if the user is a beginner, the music or audio content providing unit can provide a simple explanation on relaxing music and positive music. In addition, if the user is an intermediate user, the music or audio content providing unit can provide detailed music and application methods. The detailed music includes relaxation music, energetic music, and music that enhances concentration. For example, if the user is an intermediate user, the music or audio content providing unit can provide detailed information on relaxation music and energetic music. In addition, if the user is an advanced user, the music or audio content providing unit can provide specialized music and the latest research results. The specialized music includes the latest research results of psychotherapy, expert advice, the latest music techniques, and the like. For example, if the user is an advanced user, the music or audio content providing unit can provide information on the latest research results of psychotherapy and expert advice. This allows the music or audio content providing unit to provide appropriate music or audio content according to the user's level of understanding.

[0129] The music or audio content providing unit can estimate the user's emotion and adjust the display method of the music or audio content based on the estimated user's emotion. For example, the music or audio content providing unit can display music in an interface with a calm color when the user is nervous. Calm colors include calm colors such as blue and green. For example, the music or audio content providing unit can display music in a blue or green color when the user is nervous. Also, the music or audio content providing unit can display music in an interface with a bright color when the user is relaxed. Bright colors include cheerful colors such as yellow and orange. For example, the music or audio content providing unit can display music in a yellow or orange color when the user is relaxed. Furthermore, the music or audio content providing unit can display music in a simple and highly visible interface when the user is tired. The simple and highly visible interface can include high-contrast colors such as white and black. For example, the music or audio content providing unit can display music in a white or black color when the user is tired. This allows the music or audio content providing unit to provide an appropriate display method according to the user's emotion.

[0130] The music or audio content providing unit can provide music or audio content specific to a region in consideration of the geographical location information of the user. For example, when the user is in a specific region, the music or audio content providing unit can provide music that is popular in the region. The music that is popular in the region includes traditional music of the region, music of artists of the region, music played at events in the region, and the like. For example, when the user is in a specific region, the music or audio content providing unit can provide traditional music of the region or music of artists of the region. Furthermore, when the user is in a specific region, the music or audio content providing unit can provide audio content based on the culture of the region. The audio content based on the culture of the region includes the history, traditions, and language of the region. For example, when the user is in a specific region, the music or audio content providing unit can provide audio content related to the history and traditions of the region. Furthermore, when the user is in a specific region, the music or audio content providing unit can provide music related to events and occasions in the region. The events and occasions in the region include festivals, sporting events, cultural events, and the like in the region. For example, when the user is in a specific region, the music or audio content providing unit can provide music related to festivals and sporting events in the region. This allows the music or audio content providing unit to provide appropriate music or audio content based on the user's geographical location.

[0131] The music or audio content providing unit can analyze the user's social media activity and provide related music or audio content. For example, when a user posts on social media about relaxing music, the music or audio content providing unit can provide relaxing music. Relaxing music includes natural sounds, calm melodies, relaxation music, and the like. For example, when a user posts on social media about relaxing music, the music or audio content providing unit can provide music with natural sounds or calm melodies. In addition, when a user posts on social media about positive music, the music or audio content providing unit can provide positive music. Positive music includes bright melodies, energetic rhythms, positive lyrics, and the like. For example, when a user posts on social media about positive music, the music or audio content providing unit can provide music with bright melodies or energetic rhythms. In addition, when a user posts on social media about music that enhances concentration, the music or audio content providing unit can provide music that enhances concentration. Music that enhances concentration includes fast-paced beats, energetic melodies, rhythms that enhance concentration, and the like. For example, if a user posts on social media about music that helps them concentrate, the music or audio content providing unit can provide music with a fast-paced beat and energetic melodies, allowing the music or audio content providing unit to provide appropriate music or audio content based on the user's social media activities.

[0132] The nutritional advice providing unit can estimate the user's emotions and adjust the content of the nutritional advice to be provided based on the estimated user's emotions. For example, when the user is feeling stressed, the nutritional advice providing unit can provide nutritional advice that is effective in reducing stress. The nutritional advice that is effective in reducing stress includes the intake of foods containing vitamin C and magnesium. For example, when the user is feeling stressed, the nutritional advice providing unit can recommend the intake of citrus fruits that are rich in vitamin C and nuts that are rich in magnesium. Furthermore, when the user is feeling depressed, the nutritional advice providing unit can provide nutritional advice that promotes a positive mood. The nutritional advice that promotes a positive mood includes the intake of foods containing omega-3 fatty acids and vitamin D. For example, when the user is feeling depressed, the nutritional advice providing unit can recommend the intake of fish that are rich in omega-3 fatty acids and mushrooms that are rich in vitamin D. Furthermore, the nutritional advice providing unit can provide nutritional advice that enhances concentration when the user is excited. The nutritional advice that enhances concentration includes the intake of foods containing caffeine and antioxidants. For example, if the user is excited, the nutritional advice providing unit can recommend the intake of coffee containing caffeine or berries containing a lot of antioxidants, thereby enabling the nutritional advice providing unit to provide appropriate nutritional advice according to the user's emotions.

[0133] The nutritional advice providing unit can analyze the user's past meal history and provide optimal nutritional advice. The nutritional advice providing unit can provide optimal nutritional advice based on, for example, data on meals taken by the user in the past. The past meal data includes the user's meal contents, nutrients taken, meal frequency, and the like. For example, the nutritional advice providing unit can provide optimal nutritional advice based on the meal contents taken by the user in the past. Furthermore, the nutritional advice providing unit can find a specific pattern from the user's past meal history and provide optimal nutritional advice based on the pattern. The specific pattern includes foods and nutrients that the user repeatedly takes, nutritional advice that has been effective in the past, and the like. For example, the nutritional advice providing unit can find a specific pattern from the user's past meal history and provide optimal nutritional advice based on the pattern. Furthermore, the nutritional advice providing unit can provide optimal nutritional advice based on nutrients taken by the user in the past. The nutrients include vitamins, minerals, proteins, fats, carbohydrates, and the like. For example, the nutritional advice providing unit can provide optimal nutritional advice based on data on vitamins and minerals taken by the user in the past. This allows the nutritional advice providing unit to provide appropriate nutritional advice based on the user's past meal history.

[0134] The nutrition advice providing unit can adjust the level of detail of the nutrition advice to be provided according to the user's level of understanding. For example, if the user is a beginner, the nutrition advice providing unit can provide basic nutrition advice and a simple explanation. The basic nutrition advice includes a balanced diet, the intake of specific vitamins and minerals, and the timing of meals. For example, if the user is a beginner, the nutrition advice providing unit can provide a simple explanation on a balanced diet and the intake of specific vitamins and minerals. Furthermore, if the user is an intermediate user, the nutrition advice providing unit can provide detailed nutrition advice and application methods. The detailed nutrition advice includes the effects of specific nutrients, how to balance nutrition, how to plan meals, and the like. For example, if the user is an intermediate user, the nutrition advice providing unit can provide detailed information on the effects of specific nutrients and how to balance nutrition. Furthermore, if the user is an advanced user, the nutrition advice providing unit can provide specialized nutrition advice and the latest research results. The specialized nutrition advice includes the latest research results in nutrition, expert advice, the latest nutrition techniques, and the like. For example, if the user is an advanced user, the nutrition advice providing unit can provide information on the latest nutritional research results and advice from experts, thereby enabling the nutrition advice providing unit to provide appropriate nutrition advice according to the user's level of understanding.

[0135] The nutritional advice providing unit can estimate the user's emotion and adjust the display method of the nutritional advice based on the estimated user's emotion. For example, when the user is nervous, the nutritional advice providing unit can display the nutritional advice in an interface with a calm color. The calm color includes calm colors such as blue and green. For example, when the user is nervous, the nutritional advice providing unit can display the nutritional advice in a blue or green color. Furthermore, when the user is relaxed, the nutritional advice providing unit can display the nutritional advice in an interface with a bright color. The bright color includes cheerful colors such as yellow and orange. For example, when the user is relaxed, the nutritional advice providing unit can display the nutritional advice in a yellow or orange color. Furthermore, when the user is tired, the nutritional advice providing unit can display the nutritional advice in a simple and highly visible interface. The simple and highly visible interface includes high-contrast colors such as white and black. For example, when the user is tired, the nutritional advice providing unit can display the nutritional advice in a white or black color. This allows the nutritional advice providing unit to provide an appropriate display method according to the user's emotion.

[0136] The nutritional advice providing unit can provide nutritional advice specific to a region, taking into account the geographical location information of the user. For example, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice based on ingredients available in the region. The ingredients available in the region include local specialties, foods sold in a market in the region, ingredients of traditional dishes in the region, and the like. For example, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice based on local specialties and foods sold in a market in the region. Furthermore, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice taking into account the food culture of the region. The food culture of the region includes traditional dishes, eating habits, and how to use ingredients in the region. For example, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice taking into account the traditional dishes and eating habits of the region. Furthermore, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice taking into account the climate and environment of the region. The climate and environment of the region include temperature, humidity, weather, natural environment, and the like. For example, when the user is in a specific region, the nutritional advice providing unit can provide nutritional advice taking into account the temperature and weather of the region. This enables the nutritional advice providing unit to provide appropriate nutritional advice based on the user's geographical location.

[0137] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0138] The information providing unit can analyze the past counseling history of the user and provide optimal information. For example, based on the content and effect of counseling the user received in the past, the information providing unit can provide relevant information. The past counseling history includes the type of counseling the user received, the effect of counseling, the frequency of counseling, and the like. For example, the information providing unit can provide relevant information based on information on cognitive behavioral therapy counseling the user received in the past. Furthermore, the information providing unit can find a specific pattern from the past counseling history of the user and provide optimal information based on the pattern. The specific pattern includes the type and effect of counseling that the user repeatedly receives, counseling that was effective in the past, and the like. For example, the information providing unit can find a specific pattern from the past counseling history of the user and provide optimal information based on the pattern. Furthermore, the information providing unit can provide optimal information based on the content of counseling the user received in the past. The content of counseling includes the theme of counseling, the method of counseling, the effect of counseling, and the like. For example, the information providing unit can provide optimal information based on the theme and method of counseling the user received in the past. This allows the information providing unit to provide appropriate information based on the past counseling history of the user.

[0139] The advice presenting unit can estimate the user's emotions and adjust the timing of the advice based on the estimated user's emotions. For example, when the user is feeling stressed, advice for relaxing can be provided immediately. Advice for relaxing includes deep breathing, meditation, relaxation exercises, and the like. For example, when the user is feeling stressed, the advice presenting unit can provide a method of deep breathing or a guide for meditation immediately. Furthermore, when the user is feeling depressed, the advice presenting unit can provide advice for encouraging positive thinking at an appropriate time. Advice for encouraging positive thinking includes positive self-talk, gratitude practice, goal setting, and the like. For example, when the user is feeling depressed, the advice presenting unit can provide advice on a method of positive self-talk or gratitude practice at an appropriate time. Furthermore, when the user is excited, the advice presenting unit can provide advice for improving concentration at an appropriate time. Advice for improving concentration includes time management, goal setting, exercises for improving concentration, and the like. For example, when the user is excited, the advice presenting unit can provide advice on a method of time management or exercises for improving concentration at an appropriate time. This allows the advice presenter to present advice at an appropriate timing according to the user's emotions.

[0140] The estimation unit can estimate the user's emotion and improve the accuracy of the estimation result based on the estimated user's emotion. For example, when the user is feeling stressed, the accuracy of the estimation result can be improved by placing emphasis on data related to stress. The data related to stress includes the user's stress level, the cause of stress, and a method for reducing stress. For example, when the user is feeling stressed, the estimation unit can improve the accuracy of the estimation result based on the user's stress level and the cause of stress. Furthermore, when the user is depressed, the estimation unit can improve the accuracy of the estimation result by placing emphasis on data that promotes positive emotions. The data that promotes positive emotions includes the user's emotion score, a method for promoting positive thinking, and past positive experiences. For example, when the user is depressed, the estimation unit can improve the accuracy of the estimation result based on the user's emotion score and a method for promoting positive thinking. Furthermore, when the user is excited, the estimation unit can improve the accuracy of the estimation result by placing emphasis on data that enhances concentration. The data that enhances concentration includes the user's concentration level, a method for enhancing concentration, and past experiences for improving concentration. For example, when the user is excited, the estimation unit can improve the accuracy of the estimation result based on the user's concentration level and a method for enhancing concentration. This enables the estimation unit to provide an appropriate estimation result according to the user's emotion.

[0141] The support unit can analyze the user's past support history and provide optimal support. For example, the support unit can analyze the effect of the support the user has received in the past and provide optimal support. The effect of the support includes the result of the user's practicing the support and feedback. For example, the support unit can analyze the effect of the support of the relaxation technique that the user has received in the past and provide optimal support. Furthermore, the support unit can find a specific pattern from the user's past support history and provide support based on the pattern. The specific pattern includes the type and effect of the support that the user repeatedly receives, and support that has been effective in the past. For example, the support unit can find a specific pattern related to stress management from the user's past support history and provide support based on the pattern. Furthermore, the support unit can provide optimal support based on the relaxation technique that the user has used in the past. The relaxation technique includes deep breathing, meditation, yoga, and the like. For example, the support unit can provide optimal support based on the deep breathing technique that the user has used in the past. This allows the support unit to provide appropriate support based on the user's past support history.

[0142] The notification unit can estimate the user's emotion and adjust the content of the notification based on the estimated user's emotion. For example, when the user is feeling stressed, a notification for relaxing can be sent. The notification for relaxing can include a suggestion of a relaxation technique, provision of relaxing music, and guidance for relaxation exercises. For example, when the user is feeling stressed, the notification unit can send a notification regarding a suggestion of a relaxation technique or provision of relaxing music. Furthermore, when the user is feeling depressed, the notification unit can send a notification including a positive message. The positive message can include words of encouragement, promotion of positive thinking, and suggestions for practicing gratitude. For example, when the user is feeling depressed, the notification unit can send a notification regarding words of encouragement or promotion of positive thinking. Furthermore, when the user is excited, the notification unit can send a notification for improving concentration. The notification for improving concentration can include a suggestion of time management, guidance for exercises to improve concentration, and provision of music to improve concentration. For example, when the user is excited, the notification unit can send a notification regarding a suggestion of time management or exercises to improve concentration. This allows the notification unit to provide appropriate notification content according to the user's emotion.

[0143] The interface can select an optimal display method by referring to the user's past operation history. For example, the interface can provide an optimal display method based on the interface settings used by the user in the past. The interface settings include the user's customization settings, the selection of the display method, the setting of the operation procedure, and the like. For example, the interface can provide an optimal display method based on the customization settings used by the user in the past. The interface can also find a specific pattern from the user's past operation history and provide an optimal display method based on the pattern. The specific pattern includes a display method or operation procedure that the user uses repeatedly, a display method that was effective in the past, and the like. The customization settings include the selection of the display method, the setting of the operation procedure, the layout of the interface, and the like. For example, the interface can provide an optimal display method based on the selection of the display method or the setting of the operation procedure that the user used in the past. In this way, the interface can provide an appropriate display method based on the user's past operation history.

[0144] The music or audio content providing unit can estimate the user's emotions and adjust the type of music or audio content to be provided based on the estimated user's emotions. For example, when the user is feeling stressed, relaxing music can be provided. Relaxing music includes natural sounds, calm melodies, relaxation music, and the like. For example, when the user is feeling stressed, the music or audio content providing unit can provide music with natural sounds or calm melodies. In addition, when the user is feeling depressed, the music or audio content providing unit can provide music that makes the user feel positive. Music that makes the user feel positive includes bright melodies, energetic rhythms, positive lyrics, and the like. For example, when the user is feeling depressed, the music or audio content providing unit can provide music with bright melodies or energetic rhythms. In addition, when the user is excited, the music or audio content providing unit can provide music that enhances concentration. Music that enhances concentration includes fast-paced beats, energetic melodies, rhythms that enhance concentration, and the like. For example, when the user is excited, the music or audio content providing unit can provide music with fast-paced beats or energetic melodies. This allows the music or audio content providing unit to provide appropriate music or audio content in accordance with the user's emotions.

[0145] The nutritional advice providing unit can analyze the user's past meal history and provide optimal nutritional advice. For example, the nutritional advice providing unit can provide optimal nutritional advice based on data of meals taken by the user in the past. The past meal data includes the user's meal contents, nutrients taken, meal frequency, and the like. For example, the nutritional advice providing unit can provide optimal nutritional advice based on the meal contents taken by the user in the past. Furthermore, the nutritional advice providing unit can find a specific pattern from the user's past meal history and provide optimal nutritional advice based on the pattern. The specific pattern includes foods and nutrients that the user repeatedly takes, nutritional advice that has been effective in the past, and the like. For example, the nutritional advice providing unit can find a specific pattern from the user's past meal history and provide optimal nutritional advice based on the pattern. Furthermore, the nutritional advice providing unit can provide optimal nutritional advice based on nutrients taken by the user in the past. The nutrients include vitamins, minerals, proteins, fats, carbohydrates, and the like. For example, the nutritional advice providing unit can provide optimal nutritional advice based on data of vitamins and minerals taken by the user in the past. This allows the nutritional advice providing unit to provide appropriate nutritional advice based on the user's past meal history.

[0146] The determination unit can estimate the user's emotion and adjust the urgency determination criteria based on the estimated user's emotion. For example, when the user is feeling strong stress, the urgency determination criteria can be set low. The urgency determination criteria include the user's stress level, the cause of stress, a method of reducing stress, and the like. For example, when the user is feeling strong stress, the determination unit can set the urgency determination criteria low based on the user's stress level and the cause of stress. Furthermore, when the user is depressed, the determination unit can adjust the urgency determination criteria to respond early. The urgency determination criteria include the user's emotion score, a method of promoting positive thinking, past emotion data, and the like. For example, when the user is depressed, the determination unit can adjust the urgency determination criteria based on the user's emotion score and the method of promoting positive thinking. Furthermore, when the user is excited, the determination unit can adjust the urgency determination criteria to respond appropriately. The urgency determination criteria include the user's concentration level, a method of increasing concentration, past emotion data, and the like. For example, when the user is excited, the determination unit can adjust the urgency determination criteria based on the user's concentration level and the method of increasing concentration. This enables the determination unit to provide an appropriate criterion for determining urgency according to the user's emotions.

[0147] The interface can estimate the user's emotion and adjust the operation procedure of the interface based on the estimated user's emotion. For example, when the user is nervous, a simple and intuitive operation procedure can be provided. The simple and intuitive operation procedure includes an operation completed in fewer steps, a visually easy-to-understand interface, intuitive icons and buttons, and the like. For example, when the user is nervous, the interface can provide an operation completed in fewer steps and a visually easy-to-understand interface. In addition, when the user is relaxed, the interface can provide detailed operation procedures. The detailed operation procedures include a step-by-step guide, a detailed explanation, an operation hint, and the like. For example, when the user is relaxed, the interface can provide a step-by-step guide and a detailed explanation. In addition, when the user is tired, the interface can provide a minimum operation procedure. The minimum operation procedure includes a concise operation, an operation completed in fewer steps, a visually easy-to-understand interface, and the like. For example, when the user is tired, the interface can provide a concise operation and an operation completed in fewer steps. In this way, the interface can provide an appropriate operation procedure according to the user's emotion.

[0148] The process flow of the second embodiment will be briefly described below.

[0149] Step 1: The information provider provides the user with basic information, techniques, or resources related to counseling or psychotherapy. For example, the information provider provides information such as a definition of counseling, types of psychotherapy, and available resources. Step 2: The advice presentation unit presents advice or a relaxation method for alleviating the user's mood in response to the user's worries. For example, if the user is feeling stressed, the advice presentation unit suggests breathing techniques or simple exercises to help the user relax. Step 3: The estimation unit estimates the user's mood or emotion. For example, the estimation unit estimates emotions by analyzing diary entries or messages entered by the user. Using a generation AI, the user's input content is analyzed and emotions are estimated. Step 4: The support unit provides support to the user based on the estimated mood or emotion. For example, the support unit provides guidelines for meditation, breathing exercises, and relaxation techniques. It can also provide music, audio content, and nutritional advice according to the user's mood.

[0150] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0151] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search<URL: https: / / openai.com / blog / chatgpt> ) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) are input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may also be an AI agent. In addition, when the processes of each of the above-mentioned parts are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples.In addition, processing performed by AI including the generation AI may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI including the generation AI.

[0152] Furthermore, the above-described processing by the data processing system 10 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information required for processing from the data processing device 12 or an external device.

[0153] For example, the information providing unit is realized by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing device 12. For example, the advice presenting unit is realized by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing device 12. For example, the estimation unit is realized by the specific processing unit 290 of the data processing device 12. For example, the support unit is realized by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0154] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0155] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0156] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0157] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0158] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0159] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0160] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0161] Fig. 4 shows an example of main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0162] 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.

[0163] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0164] In the smart glasses 214, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0165] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (such as a mobile phone, a robot, or a home appliance) owned by a user.

[0166] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0167] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) is input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may be an AI agent. In addition, when the processes of each part described above are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples. In addition, the processes performed by the AI ​​including the generation AI may be replaced with rule-based processes, and the rule-based processes may be replaced with processes performed by the AI ​​including the generation AI.

[0168] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device.

[0169] For example, the information providing unit is realized by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing device 12. For example, the advice presenting unit is realized by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing device 12. For example, the estimation unit is realized by the specific processing unit 290 of the data processing device 12. For example, the support unit is realized by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0170] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0171] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0172] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0173] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0174] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0175] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0176] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0177] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0178] 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.

[0179] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0180] In the headset type terminal 314, the specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50, and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0181] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (such as a mobile phone, a robot, or a home appliance) owned by a user.

[0182] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input for the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0183] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) is input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may be an AI agent. In addition, when the processes of each part described above are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples. In addition, the processes performed by the AI ​​including the generation AI may be replaced with rule-based processes, and the rule-based processes may be replaced with processes performed by the AI ​​including the generation AI.

[0184] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device.

[0185] For example, the information providing unit is realized by the control unit 46A of the headset type terminal 314 or the specific processing unit 290 of the data processing device 12. For example, the advice presenting unit is realized by the control unit 46A of the headset type terminal 314 or the specific processing unit 290 of the data processing device 12. For example, the estimation unit is realized by the specific processing unit 290 of the data processing device 12. For example, the support unit is realized by the control unit 46A of the headset type terminal 314 or the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0186] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0187] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0188] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0189] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0190] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0191] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of a typical healthy person).

[0192] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0193] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and legs. The posture and behavior of the robot 414 are controlled by controlling the motors of the arms, hands, and legs. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0194] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0195] 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.

[0196] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0197] In the robot 414, the specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads out the specific program 60 from the storage 50, and executes the specific program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0198] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (such as a mobile phone, a robot, or a home appliance) owned by a user.

[0199] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires a voice indicating a user input for the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0200] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) is input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may be an AI agent. In addition, when the processes of each part described above are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples. In addition, the processes performed by the AI ​​including the generation AI may be replaced with rule-based processes, and the rule-based processes may be replaced with processes performed by the AI ​​including the generation AI.

[0201] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0202] For example, the information providing unit is realized by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing device 12. For example, the advice presenting unit is realized by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing device 12. For example, the estimation unit is realized by the specific processing unit 290 of the data processing device 12. For example, the support unit is realized by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0203] The emotion identification model 59 as an emotion engine may determine the emotion of the user according to a specific mapping. Specifically, the emotion identification model 59 may determine the emotion of the user according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the emotion of the robot, and the identification processing unit 290 may perform identification processing using the emotion of the robot.

[0204] FIG. 9 is a diagram showing an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive emotions are arranged. The more outside the concentric circles, the more emotions that represent states and actions that arise from a state of mind are arranged. Emotions are a concept that includes emotions and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions that occur in the brain are arranged. On the right side of the concentric circles, emotions that are generally induced by situational judgment are arranged. On the upper and lower sides of the concentric circles, emotions that are generally generated from reactions that occur in the brain and are induced by situational judgment are arranged. In addition, on the upper side of the concentric circles, emotions of "pleasure" are arranged, and on the lower side, emotions of "discomfort" are arranged. In this way, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0205] These emotions are distributed in the 3 o'clock direction of emotion map 400 and usually fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0206] The inside of emotion map 400 represents what is going on inside one's mind, and the outside of emotion map 400 represents behavior, so the further out you go on emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0207] Here, human emotions are based on various balances such as posture and blood sugar level, and when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. Emotions can also be created for robots, cars, motorcycles, etc., based on various balances such as posture and battery level, so that when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. The emotion map may be generated, for example, based on the emotion map of Dr. Mitsuyoshi (Research on speech emotion recognition and emotion brain physiological signal analysis system, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). On the left half of the emotion map, emotions belonging to an area called "reaction" where sensation is dominant are lined up. On the right half of the emotion map, emotions belonging to an area called "situation" where situation recognition is dominant are lined up.

[0208] The emotion map defines two emotions that promote learning. The first is the negative emotion around the middle of "repentance" or "remorse" on the situation side. In other words, this is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the positive emotion around "desire" on the response side. In other words, this is when the robot has positive feelings such as "I want more" or "I want to know more."

[0209] The emotion identification model 59 inputs the user input to a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the emotion of the user. This neural network is pre-trained based on multiple learning data that are combinations of the user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in Fig. 10. Fig. 10 shows an example in which multiple emotions, "relief," "calm," and "encouraging," have similar emotion values.

[0210] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers, including computer 22.

[0211] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable computer-readable non-transitory storage medium such as a Universal Serial Bus (USB) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0212] In addition, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 upon request from the data processing device 12.

[0213] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0214] As the hardware resource for executing the specific process, various processors as shown below can be used. An example of the processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing the specific process by executing software, i.e., a program. Another example of the processor is a dedicated electric circuit, which is a processor having a circuit configuration designed exclusively for executing a specific process, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), or an Application Specific Integrated Circuit (ASIC). Each processor has a built-in or connected memory, and each processor executes the specific process by using the memory.

[0215] The hardware resource that executes the specific process may be one of these various processors, or may be a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0216] As an example of a configuration using one processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a configuration using a processor that realizes the functions of the entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0217] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. The specific processes described above are merely examples. It goes without saying that unnecessary steps may be deleted, new steps may be added, or the order of processes may be changed without departing from the spirit of the invention.

[0218] In the above example, the first to fourth embodiments are described separately, but some or all of these embodiments may be combined. The smart device 14, the smart glasses 214, the headset terminal 314, and the robot 414 are only examples, and they may be combined with each other, or may be other devices. In the above example, the first and second embodiments are described separately, but they may be combined.

[0219] The above description and illustrations are detailed descriptions of the parts related to the technology of the present disclosure, and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, function, action, and effect is an example of the configuration, function, action, and effect of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replaced with respect to the description and illustrations shown above, within the scope of the gist of the technology of the present disclosure. In addition, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the description and illustrations shown above omit explanations of technical common sense that do not require particular explanation in enabling the implementation of the technology of the present disclosure.

[0220] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, and standard was specifically and individually indicated to be incorporated by reference.

[0221] (Appendix 1) an information section that provides users with basic information, techniques, or resources regarding counseling or psychotherapy; an advice presentation unit that presents advice or a relaxation method for alleviating the user's mood in response to the user's worries; An estimation unit that estimates a mood or emotion of the user, and a support unit that provides support to the user according to a specific criterion based on the estimated mood or emotion. A system characterized by: (Appendix 2) The support portion is Providing the user with guidelines for meditation, breathing exercises, or specific relaxation techniques 2. The system of claim 1, (Appendix 3) Based on the estimated mood or emotion, a determination unit that determines whether the user is in an emergency state according to specific criteria; When the determination unit determines that the user is in an emergency, A notification unit that notifies an expert or a helpline. 2. The system of claim 1, (Appendix 4) An interface for visualizing the user's mood fluctuations in a concrete way. 2. The system of claim 1, (Appendix 5) The estimation unit is The emotion is estimated by analyzing the diary or messages entered by the user in a specific manner. 2. The system of claim 1, (Appendix 6) The support portion is Providing music or audio content according to the user's mood 2. The system of claim 1, (Appendix 7) The support portion is Providing nutritional advice according to the user's mood 2. The system of claim 1, (Appendix 8) The support portion is When the estimated mood or emotion becomes a specific mood or emotion, Start your relaxation guide and message a friend 2. The system of claim 1, (Appendix 9) The information providing unit is Inferring a user's emotions and adjusting the type of information provided based on the estimated user's emotions 2. The system of claim 1, (Appendix 10) The information providing unit is Analyze users' past search history and provide the most appropriate information preferentially 2. The system of claim 1, (Appendix 11) The information providing unit is Adjust the level of detail provided to suit the user's level of understanding 2. The system of claim 1, (Appendix 12) The information providing unit is Inferring user emotions and adjusting the way information is displayed based on the estimated user emotions 2. The system of claim 1, (Appendix 13) The information providing unit is Considers the user's geographic location to provide localized resources 2. The system of claim 1, (Appendix 14) The information providing unit is Analyze your social media activity and provide you with relevant information 2. The system of claim 1, (Appendix 15) The advice presentation unit is Estimate the user's emotions and adjust the advice content based on the estimated user emotions 2. The system of claim 1, (Appendix 16) The advice presentation unit is Analyze the user's past consultation history and provide optimal advice 2. The system of claim 1, (Appendix 17) The advice presentation unit is Adjust the level of detail of advice to suit the user's level of understanding 2. The system of claim 1, (Appendix 18) The advice presentation unit is Inferring user emotions and adjusting the way advice is displayed based on the estimated user emotions 2. The system of claim 1, (Appendix 19) The advice presentation unit is Takes into account the user's geographic location to provide location-specific advice 2. The system of claim 1, (Appendix 20) The advice presentation unit is Analyze your social media activity and provide you with relevant recommendations 2. The system of claim 1, (Appendix 21) The estimation unit is Inferring a user's emotion and adjusting the estimation algorithm based on the estimated user's emotion 2. The system of claim 1, (Appendix 22) The estimation unit is Analyze users' past emotion data to improve estimation accuracy 2. The system of claim 1, (Appendix 23) The estimation unit is Displaying inference results according to the user's level of understanding 2. The system of claim 1, (Appendix 24) The estimation unit is Inferring a user's emotions and adjusting the display method of the inferred results based on the inferred user's emotions 2. The system of claim 1, (Appendix 25) The estimation unit is Considering the user's geographic location, we perform region-specific emotion estimation. 2. The system of claim 1, (Appendix 26) The estimation unit is Analyze users' social media activities and make relevant sentiment inferences 2. The system of claim 1, (Appendix 27) The support portion is Estimate the user's emotions and adjust the support content based on the estimated user emotions 2. The system of claim 1, (Appendix 28) The support portion is Analyze the user's past support history to provide optimal support 2. The system of claim 1, (Appendix 29) The support portion is Provide support at a level of detail that matches the user's level of understanding 2. The system of claim 1, (Appendix 30) The support portion is Inferring a user's emotions and adjusting the way support is displayed based on the estimated user's emotions 2. The system of claim 1, (Appendix 31) The support portion is Takes into account the user's geographic location to provide location-specific support 2. The system of claim 1, (Appendix 32) The support portion is Analyze your social media activity and provide you with relevant support 2. The system of claim 1, (Appendix 33) The determination unit is To estimate a user's emotion and adjust a criterion for determining urgency based on the estimated user's emotion. 4. The system of claim 3. (Appendix 34) The determination unit is Analyze the user's past emergency history to improve the accuracy of judgments 4. The system of claim 3. (Appendix 35) The determination unit is Inferring a user's emotion and adjusting the way urgency is displayed based on the estimated user's emotion 4. The system of claim 3. (Appendix 36) The determination unit is Considers the user's geographic location to make location-specific urgency decisions 4. The system of claim 3. (Appendix 37) The notification unit is Estimate user emotions and adjust notification content based on the estimated user emotions 4. The system of claim 3. (Appendix 38) The notification unit is Analyze the user's past notification history and select the optimal notification method 4. The system of claim 3. (Appendix 39) The notification unit is Infer user emotions and adjust notification display based on the inferred user emotions 4. The system of claim 3. (Appendix 40) The notification unit is Takes into account the user's geographic location to provide location-specific notifications 4. The system of claim 3. (Appendix 41) The interface includes: Estimating a user's emotions and adjusting the interface display method based on the estimated user's emotions 5. The system of claim 4. (Appendix 42) The interface includes: Select the optimal display method by referring to the user's past operation history 5. The system of claim 4. (Appendix 43) The interface includes: Estimating a user's emotions and adjusting the operation procedure of an interface based on the estimated user's emotions 5. The system of claim 4. (Appendix 44) The interface includes: Select the optimal display method taking into account the user's device information 5. The system of claim 4. (Appendix 45) The music or audio content providing unit includes: To estimate a user's emotion and adjust the type of music or audio content provided based on the estimated user's emotion. 7. The system of claim 6, (Appendix 46) The music or audio content providing unit includes: Analyze the user's past music and audio content history to provide the most suitable content 7. The system of claim 6, (Appendix 47) The music or audio content providing unit includes: Adjust the level of detail of the music or audio content provided based on the user's level of comprehension 7. The system of claim 6, (Appendix 48) The music or audio content providing unit includes: Estimating a user's emotion and adjusting the presentation of music or audio content based on the estimated user's emotion 7. The system of claim 6, (Appendix 49) The music or audio content providing unit includes: Taking into account the user's geographic location, providing region-specific music and audio content 7. The system of claim 6, (Appendix 50) The music or audio content providing unit includes: Analyze your social media activity to provide you with relevant music and audio content 7. The system of claim 6, (Appendix 51) The nutritional advice providing unit is To estimate a user's emotions and adjust the content of nutrition advice provided based on the estimated user's emotions 8. The system of claim 7, (Appendix 52) The nutritional advice providing unit is Analyzes the user's past meal history and provides optimal nutritional advice 8. The system of claim 7, (Appendix 53) The nutritional advice providing unit is Provide nutrition advice with a level of detail that matches the user's level of understanding 8. The system of claim 7, (Appendix 54) The nutritional advice providing unit is Inferring a user's emotions and adjusting the way nutrition advice is displayed based on the estimated user's emotions 8. The system of claim 7, (Appendix 55) The nutritional advice providing unit is Provides location-specific nutrition advice based on the user's geographic location 8. The system of claim 7, [Explanation of symbols]

[0222] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. an information section that provides users with basic information, techniques, or resources regarding counseling or psychotherapy; an advice presentation unit that presents advice or a relaxation method for alleviating the user's mood in response to the user's worries; An estimation unit that estimates a mood or emotion of the user, and a support unit that provides support to the user according to a specific criterion based on the estimated mood or emotion. A system characterized by:

2. The support portion is Providing the user with guidelines for meditation, breathing exercises, or specific relaxation techniques 2. The system of claim 1 .

3. Based on the estimated mood or emotion, a determination unit that determines whether the user is in an emergency state according to specific criteria; When the determination unit determines that the user is in an emergency, A notification unit that notifies an expert or a helpline.

2. The system of claim 1 .

4. An interface for visualizing the user's mood fluctuations in a concrete way.

2. The system of claim 1 .

5. The estimation unit is The emotion is estimated by analyzing the diary or messages entered by the user in a specific manner.

2. The system of claim 1 .

6. The support portion is Providing music or audio content according to the user's mood 2. The system of claim 1 .

7. The support portion is Providing nutritional advice according to the user's mood 2. The system of claim 1 .

8. The support portion is When the estimated mood or emotion becomes a specific mood or emotion, Start your relaxation guide and message a friend 2. The system of claim 1 .

9. The information providing unit is Estimating the user's emotion and adjusting the type of information provided based on the estimated user's emotion.

2. The system of claim 1 .

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