system

Abstract

We provide the system. [Solution] Information acquisition methods for collecting and analyzing users' personal information and emotional states, A plan generation means that generates an optimized action plan based on the information obtained by the information acquisition means, Legal support measures to assist in the generation and provision of legal documents based on the aforementioned action plan, A means of group collaboration that proposes participation in group activities that match the user's interests based on the aforementioned action plan, An emotional care support system that records and analyzes the user's emotions through voice input and provides relaxation methods and messages based on the results, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] There are problems such as the mental anxiety and procedural complexity faced by users when they carry out end-of-life arrangements, and it is difficult to select appropriate activities according to individual needs. In particular, for the elderly and their families when proceeding with end-of-life arrangements, the complexity of legal procedures and the method of participating in appropriate community activities have become a heavy burden.

Means for Solving the Problems

[0005] This invention solves the above problems by using data acquisition means to collect and analyze users' personal information and emotional states, and by providing optimized action plans tailored to each user's individual circumstances. Furthermore, by providing legal support means to assist with legal procedures and community collaboration means to propose community activities based on users' interests, it provides comprehensive support so that users can proceed with end-of-life planning with peace of mind.

[0006] "Data acquisition methods" refer to the process of collecting users' personal information and emotional states, and obtaining appropriate information based on the results.

[0007] "Plan generation method" refers to the process of formulating an end-of-life planning action plan optimized for the user, based on the collected user data.

[0008] "Legal support measures" refer to processes that assist in the creation and provision of legal documents, enabling users to proceed with appropriate legal procedures quickly and efficiently.

[0009] "Community engagement methods" refer to a process that suggests participation in appropriate community activities and events according to the user's interests, enabling users to actively engage in social activities. [Brief explanation of the drawing]

[0010] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5]This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0011] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0012] First, let's explain the terminology used in the following explanation.

[0013] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0014] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0015] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0016] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0017] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0018] [First Embodiment]

[0019] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0020] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0021] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0022] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0023] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0024] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0025] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0026] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0027] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0028] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0029] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0030] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0031] This invention is a system that provides comprehensive end-of-life support to users. The system has five main functions: user information gathering, emotional care, action plan generation, legal support, and community collaboration. The following describes specific embodiments for realizing these functions.

[0032] First, let's explain the information gathering process. Users input personal information and their priorities regarding end-of-life planning into their devices via smart speakers or chat apps. The devices analyze this information and send it to a server. The server stores this information in a database, which is then used in subsequent processes.

[0033] Next, regarding emotional state care, the device analyzes voice and text information obtained during interactions with the user to understand the user's emotional state in real time. The server calculates the user's stress level from this data and, if necessary, suggests relaxation techniques. This creates an environment where the user can proceed with end-of-life planning with peace of mind.

[0034] Next, we will discuss the generation of personalized action plans. The server develops an optimal action plan based on the user's information and emotional state. This plan includes a list of legal procedures, recommended health actions, and a schedule that is updated as needed. The plan is communicated to the user via their device, and the user can view details of each item.

[0035] Next, let's discuss the legal support features. When users create legal documents necessary for their end-of-life planning, the server provides templates and guidance on how to fill them out. Users can easily create legal documents using these templates, and if further assistance is needed, the system also includes a feature to connect them with experts.

[0036] Finally, let's discuss the community integration feature. The server presents relevant community activities and events based on the user's hobbies and interests. The terminal notifies the user of the schedule and manages responses regarding participation requests. For example, if a local event matching the user's hobbies is found, the information is sent to the user to encourage participation.

[0037] Thus, the system of the present invention comprehensively provides end-of-life support tailored to the individual needs of users, simplifying procedures and reducing psychological burden.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] Users enter basic personal information and end-of-life planning wishes through smart speakers or chat apps. This includes their name, age, hobbies, and specific end-of-life goals. The device receives this information and sends it to the server.

[0041] Step 2:

[0042] The server stores the information received from the terminal in a database and simultaneously sets up data points to monitor the user's emotional state. This is to establish the criteria necessary for subsequent emotion analysis.

[0043] Step 3:

[0044] The device acquires voice and text data through conversations with the user. This data is used to analyze the user's emotional state. For example, voice tone and keywords in the text are analyzed to assess levels of anxiety and stress.

[0045] Step 4:

[0046] The server generates appropriate feedback and support messages based on the analysis of the user's emotional state. This allows the device to provide a sense of security and, if necessary, suggest relaxation techniques.

[0047] Step 5:

[0048] The server uses collected personal information and emotional state data to automatically generate an action plan optimized for the user. This plan includes items such as legal procedures, health management, and scheduling, and is delivered to the user via their device.

[0049] Step 6:

[0050] The user reviews the generated action plan through the terminal and requests the creation of legal documents as needed. In this case, the terminal retrieves a template from the server and provides it to the user.

[0051] Step 7:

[0052] The server supports community engagement by recommending appropriate events and activities based on user interests. The device notifies users of these recommendations and manages their intention to participate.

[0053] Step 8:

[0054] To receive user feedback, the device continuously collects interaction data and sends it to the server. The server periodically updates the action plan based on the feedback and provides the user with the latest information.

[0055] (Example 1)

[0056] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0057] With the aging of society and changes in living environments, individuals are increasingly required to prepare for the end of their lives with greater peace of mind. However, managing the procedures and emotional anxieties associated with end-of-life planning is extremely complex, and the diversity and specialized nature of these procedures place an excessive burden on users. To solve this problem, a system is needed that can provide individualized support and a sense of security.

[0058] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0059] In this invention, the server includes information processing means for acquiring and analyzing the user's personal data and emotional state; plan generation means for formulating an optimized action plan based on the data obtained by the information processing means; legal document provision means for assisting in the creation of legal documents based on the action plan; and social collaboration means for promoting participation in social activities according to the user's interests based on the action plan. This enables personalized end-of-life support, simplification of procedures, and provision of a sense of security.

[0060] "Information processing means" refers to a series of functions for acquiring and analyzing users' personal data and emotional states.

[0061] "Plan generation means" refers to a function that formulates an action plan optimized for the user based on data obtained by information processing means.

[0062] "Means of providing legal documents" refers to functions that support the creation of legal documents based on an action plan.

[0063] "Means of social collaboration" refers to functions that promote participation in social activities according to users' interests, based on an action plan.

[0064] This invention is a system that enables users to smoothly proceed with various procedures and psychological care in end-of-life preparations. This system functions primarily based on data exchange between a server, terminals, and users.

[0065] Users input personal information and end-of-life priorities into a device via an interface such as a smart speaker or chat app. This input can be done via voice or text. The device receives this information and analyzes the data using natural language processing technology. After analysis, the device structures the data and sends it to the server via a secure communication protocol.

[0066] The server stores the information received from the terminal in a database and processes it further based on this data. The server uses a generative AI model to analyze the user's emotional state and assess their stress level. For example, the server instructs the AI ​​model via a prompt message such as, "Analyze the user's emotional state and suggest relaxation methods according to their stress level." Based on the AI ​​model's results, a relaxation method suitable for the user is suggested.

[0067] Furthermore, the server develops an action plan optimized for the user based on the acquired data. This plan includes guidance on legal procedures, health management recommendations, and scheduling of end-of-life related tasks. When legal documents are required, the server provides templates to help users efficiently create the necessary documents.

[0068] Furthermore, the server suggests appropriate social activities based on the user's hobbies and interests. The terminal notifies the user of this information, and the user can provide feedback on events and activities they would like to participate in. For example, it can provide information such as "encouraging participation in local arts and craft classes."

[0069] Through the above process, the system provides comprehensive end-of-life support tailored to each individual user, creating an environment where users can proceed with the procedures with peace of mind.

[0070] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0071] Step 1:

[0072] Users input their personal priorities and information into the device via smart speakers or chat apps, either by voice or text. The device uses speech recognition and natural language processing technologies to convert the voice into text data and organize the input information. It analyzes the input information, extracts the user's wishes and needs, and outputs this information in a format ready to be sent to the server.

[0073] Step 2:

[0074] The terminal sends the organized information to the server. This transmission is performed using a secure communication protocol. The server stores the received data in a database and performs a process to prepare the data for subsequent processing. The input is the user's personal information, and the output is the information securely stored in the database.

[0075] Step 3:

[0076] The server utilizes a generative AI model to analyze the user's emotional state. The server prompts the AI ​​model with "Analyze the user's emotional state" and analyzes emotions derived from voice tone and text. The output is quantitative data on the user's stress level and emotional state. This information is used for user feedback and as input for the next steps.

[0077] Step 4:

[0078] Based on the analysis results, the server suggests relaxation methods to reduce the user's stress. For example, it might generate a suggestion such as, "We recommend trying this week's yoga session." This is a specific countermeasure suggested when stress levels are high, and it is notified to the user from their device.

[0079] Step 5:

[0080] The server integrates the received information and analytical data to generate an optimal action plan for the user. This plan includes legal procedures, health management recommendations, and scheduled tasks. The plan is designed to help the user effectively manage their end-of-life planning and is provided to the user via their device.

[0081] Step 6:

[0082] The server provides legal document templates as needed, assisting users in efficiently creating those documents. Once a user begins creating a document through their terminal, the server outputs templates and guide information. Furthermore, it assists with procedures requiring collaboration with experts.

[0083] Step 7:

[0084] The server collects information on local social activities and events based on the user's interests and suggests them to the user. The terminal notifies the user of this information and collects and manages participation requests from the user. For example, a suggestion such as "Would you like to participate in a local event next weekend?" might be made. This provides users with opportunities to actively participate in social activities.

[0085] (Application Example 1)

[0086] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0087] In modern society, when individuals proceed with end-of-life planning, they are required to organize a large amount of information, reduce their psychological burden, and take appropriate actions. In this context, there is a need for an integrated system that conveniently manages emotions in daily life, develops personalized action plans, provides support for legal document preparation, and promotes participation in community activities.

[0088] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0089] In this invention, the server includes information acquisition means, plan generation means, legal support means, group collaboration means, and emotional care support means. This makes it possible to monitor the user's emotions in real time, provide optimal relaxation, formulate an action plan optimized for the individual, and support participation in legal procedures and group activities.

[0090] "Information acquisition methods" refer to means of collecting and analyzing users' personal information and emotional states through voice or text input.

[0091] A "plan generation method" is a means of generating an action plan optimized for the user based on acquired information.

[0092] "Legal support measures" refer to means of assisting users in creating and providing legal documents based on their action plans.

[0093] "Methods for group collaboration" refer to methods of proposing participation in group activities based on users' interests.

[0094] "Emotional care support means" refers to a method of analyzing the user's emotional information obtained through voice input and providing relaxation methods and messages.

[0095] The system for implementing this invention consists of a server and a user terminal. The server operates by combining information acquisition means, plan generation means, legal support means, group collaboration means, and emotional care support means.

[0096] Users input emotions and personal information using smartphones or other voice input devices. The voice data captured by the device's built-in microphone is converted into text by natural language processing software. This process utilizes pre-specified speech recognition software.

[0097] The server processes the acquired text data and analyzes its emotional content. For this purpose, sentiment analysis algorithms and generative AI models are used to assess the user's emotional state. Based on the user's emotional state, the server generates relaxation methods and encouraging messages, which are then sent to the user's device.

[0098] As a concrete example, let's consider a scenario where a user voice-inputs, "I'm feeling a little tired today." The server analyzes this data and calculates an emotional score. Based on the result, it sends a relaxation suggestion such as, "Why not try a short meditation?"

[0099] Examples of generated prompt statements include the following:

[0100] "User: I'm a little tired today."

[0101] AI: "Why not try a short meditation to alleviate the fatigue you're feeling?"

[0102] This configuration allows users to effectively plan and implement end-of-life planning activities while receiving emotional support.

[0103] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0104] Step 1:

[0105] Users use their smartphone's voice input function to input their emotions or state of mind as phrases. This voice data is collected by the device. Specifically, the input voice might say something like, "I'm feeling a little tired today."

[0106] Step 2:

[0107] The device converts collected audio data into text data using a speech recognition engine. By using a speech recognition engine such as Google's Speech-to-Text API, it is possible to obtain accurate text from audio. The input is audio data, and the output is the corresponding text data.

[0108] Step 3:

[0109] The terminal sends the converted text data to the server. The server receives this data and processes it to evaluate the emotional state using an emotion analysis algorithm. Specifically, it uses a generative AI model to calculate the emotion score of the text. The input is text data, and the output is the emotion score.

[0110] Step 4:

[0111] The server generates appropriate relaxation suggestions and encouraging messages for the user based on the analyzed sentiment score. The generated messages might include phrases like, "Why not try a short meditation?" Here, a generative AI model is used to create the prompt text. The input is the sentiment score, and the output is the prompt text.

[0112] Step 5:

[0113] The server sends the generated prompt message to the terminal. The terminal receives this and provides suggestions, such as relaxation methods, to the user by displaying or outputting it audibly. The input is the prompt message, and the output is the information fed back to the user.

[0114] These steps allow users to receive support in planning effective activities while having their emotions taken care of.

[0115] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0116] This invention is a system that supports users in end-of-life planning, and by incorporating an emotion engine, it provides more personalized support based on the user's emotional state. This system integrates data acquisition means, plan generation means, legal support means, community collaboration means, and an emotion engine.

[0117] First, in the data acquisition process, users input personal information and end-of-life planning requests into a device via a smart speaker or chat app. The device immediately sends the acquired information to a server, which then constructs the initial data. Furthermore, the device utilizes an emotion engine during its interaction with the user to analyze their emotional state from voice and text data.

[0118] The server continuously tracks emotional states analyzed by the emotion engine and monitors changes in real time. Based on this data, the server generates action plans optimized for each user's individual needs. These plans include suggestions for activities and scheduling of legal procedures based on the user's emotional state.

[0119] In terms of legal support, the server provides a guide for users to create and provide the legal documents they need. This guide takes into account the user's emotional state and provides step-by-step instructions and templates to ensure that complex procedures are not perceived as burdensome.

[0120] In community integration, the server considers users' interests and recommends appropriate events and activities based on their emotional state. This information is notified to users via their devices, and participation requests are managed.

[0121] As a concrete example, when a user experiences stress in their daily life, the emotion engine detects this change and suggests relaxing actions or appropriate community activities. For instance, if the user's emotional state is leaning towards negative, it can recommend participation in a relaxing online event.

[0122] This system allows users to receive comprehensive support tailored to their emotional state, enabling them to proceed with end-of-life planning while reducing psychological burden.

[0123] The following describes the processing flow.

[0124] Step 1:

[0125] Users input personal information and their end-of-life planning wishes through smart speakers or chat apps. This includes their name, age, hobbies, and specific end-of-life goals. The device receives this data and prepares to send it to the server.

[0126] Step 2:

[0127] The device interacts with the user via voice and text, and uses an emotion engine to analyze the user's emotional state in real time. This emotional data is derived from voice tone and keyword frequency.

[0128] Step 3:

[0129] The server evaluates the received emotional state data to determine the user's psychological state. This analysis helps understand the user's current emotional state and stress level.

[0130] Step 4:

[0131] The server generates a personalized action plan based on emotional state data and user preferences. This plan includes suggestions for legal procedures, health management, and hobby activities tailored to the user's psychological state.

[0132] Step 5:

[0133] The terminal receives an optimized action plan from the server and presents the details to the user. The user can review each step and ask questions or request adjustments as needed.

[0134] Step 6:

[0135] When a user requests the creation of a legal document, the server prepares a template and provides it to the user via the terminal. The template includes clear instructions and cautionary notes that reflect the user's emotional state.

[0136] Step 7:

[0137] The server recommends events and community activities and provides appropriate options based on the user's emotional state. The terminal notifies the user of this information and manages their willingness to participate.

[0138] Step 8:

[0139] The device collects user feedback and new data and sends it to the server. The server then updates the action plan as needed based on this information and provides further feedback to the user.

[0140] (Example 2)

[0141] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0142] In end-of-life planning, it is necessary to alleviate the psychological and procedural burdens faced by users and to provide support tailored to their individual emotional states and interests. However, current systems make it difficult to efficiently analyze emotional states and provide individualized plans. Therefore, it is necessary to provide methods for optimizing individual plans for users and promoting smooth social participation.

[0143] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0144] In this invention, the server includes data processing means for collecting user information and emotions and constructing an initial dataset based thereon; plan construction means for analyzing the emotional information obtained by the data processing means in real time and generating an optimized activity plan; and mutual cooperation means for recommending social activities that correspond to the user's interests and emotions based on the activity plan and managing their desire to participate. This enables the provision of support that is appropriate to the user's emotional state and the optimization of individual plans, including legal procedures.

[0145] "User information" refers to all information necessary for the operation of the system, including users' personal data, requests, and interests.

[0146] "Emotion" refers to the psychological response or sensory state that a user exhibits in response to a specific situation or stimulus.

[0147] "Data processing means" refers to a component that has the function of analyzing and organizing acquired data and generating an initial dataset.

[0148] "Emotional information" refers to data about the user's emotional state, including its real-time changes.

[0149] "Planning methods" refer to the process of formulating an optimal activity plan for users based on acquired data and emotional information.

[0150] An "activity plan" refers to a schedule of proposed activities and events created based on the user's emotions and individual needs.

[0151] "Legal support tools" refer to components that have the functionality to provide assistance in creating legal documents and related guidance that users require.

[0152] "Means of mutual cooperation" refers to functions for recommending and managing appropriate participation in social activities and events proposed based on users' emotions and interests.

[0153] This invention is a system designed to support users in their end-of-life planning, aiming to provide personalized support tailored to their emotions by effectively utilizing various data. This system integrates a terminal for acquiring and processing data, a server for analyzing the data and formulating an activity plan, and an emotion engine that supports all of these.

[0154] First, users input the necessary information and requests into the device using a smart speaker or chat app. Both voice and text input are possible, and the input data is analyzed using natural language processing technology. Specifically, general-purpose speech recognition software is used for voice data, and a natural language processing engine is utilized for text data.

[0155] The device immediately sends the received information to the server, which uses this information to build an initial dataset. The server also uses an emotion engine to analyze the user's emotional state in real time from voice and text data and track its changes.

[0156] Based on the output obtained from the emotion engine, the server uses a generative AI model to generate a personalized activity plan for the user. This plan includes suggestions for appropriate activities that match the user's emotions and scheduling of legal procedures. For example, if the user is feeling stressed, the server can suggest online activities aimed at relaxation. A concrete example of a prompt statement could be, "How can I suggest events that will help the user relax?"

[0157] Furthermore, the server provides templates and guides to support users in creating the legal documents they need through legal support mechanisms. These guides are designed to be easy to follow, with clear step-by-step explanations, allowing users to proceed at their own pace.

[0158] As a means of community engagement, the server proposes social activities that take into account the user's interests and notifies the user via their device. These notifications include features such as calendar integration, allowing for the management of participation requests.

[0159] This system allows users to efficiently proceed with end-of-life planning while receiving appropriate support tailored to their emotional state and living circumstances.

[0160] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0161] Step 1:

[0162] Users input personal information and end-of-life planning requests via voice or text using a smart speaker or chat app. The input data is analyzed by a natural language processing engine on the device, and the user's intentions and requests are extracted as structured information. The output structured data is immediately sent to the server.

[0163] Step 2:

[0164] The server constructs an initial dataset based on the user's structured data received from the terminal. This process involves storing information in a database and forming a basic set of information for creating user profiles. Data processing includes sorting out duplicate data and standardizing the format, resulting in the output of the user profile.

[0165] Step 3:

[0166] The device inputs the acquired voice and text data into the emotion engine to analyze the user's emotional state. The analyzed emotional data is output as a numerical score for each emotional state, and this output data is transmitted to the server in real time. The emotion engine identifies positive, negative, and neutral emotions from the user's speech and generates data based on this.

[0167] Step 4:

[0168] The server inputs prompts into a generative AI model based on real-time emotional state scores and user profiles, generating an optimized activity plan. For example, if the prompt is "How can we suggest activities that will help the user relax?", the generated plan will include suggested activities. The model's output is then reflected in personalized activity suggestions and schedules for the user.

[0169] Step 5:

[0170] The server provides assistance in creating necessary legal documents based on the activity plan. Considering the user's emotional state and to handle complex procedures, step-by-step guides and templates are created and provided to the user. Document generation uses automated template technology, and the results are output in a format that is easy for the user to understand.

[0171] Step 6:

[0172] The server recommends social activities tailored to the user's interests and emotional state. This information is notified to the device, allowing the user to manage their participation preferences. The server also integrates with calendar apps to schedule suggested events, outputting event information in a user-friendly format.

[0173] (Application Example 2)

[0174] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0175] In an aging society, individualized care based on emotional states is required to ensure that users can spend their end-of-life period with peace of mind. However, it is not easy for caregivers and family members to accurately grasp the emotional state of users and to quickly provide appropriate care plans. Therefore, a system that provides comprehensive care based on emotions is necessary.

[0176] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0177] In this invention, the server includes information acquisition means for collecting and analyzing the user's biometric data and emotional state, schedule generation means for generating an emotional care plan based on the data obtained by the information acquisition means, and care support means for providing activity suggestions and information based on the emotional care plan. This makes it possible to appropriately understand the user's emotional state and provide a care plan tailored to that state.

[0178] "Information acquisition means" refers to a series of processes for collecting and analyzing users' biometric data and emotional states.

[0179] A "schedule generation method" is a means of automatically creating a care plan that is appropriate to the user's emotional state based on collected data.

[0180] "Care support measures" refer to means of providing users with appropriate activity suggestions and information based on the generated care plan.

[0181] "Method of reserving participation" refers to a means of organizing and managing users' participation preferences based on proposed activities and care plans.

[0182] The system of the present invention is configured to allow users to understand their own emotional state using a device such as a smartphone or smart glasses, and to receive appropriate care based on that understanding.

[0183] First, as a means of acquiring information, the terminal uses its built-in microphone to collect the user's voice data. This voice data is analyzed using an emotion analysis model to determine the emotional state. Machine learning libraries such as TENSORFLOW® are used for the analysis.

[0184] Next, as a means of generating a schedule, the server automatically generates an optimal care plan for the user based on the analyzed emotional state. This plan includes content that takes the user's emotional state into consideration and is generated in real time by server processing using Flask.

[0185] Subsequently, as a means of care support, the generated plan is sent to the device via notification services such as Twilio. This allows users to immediately receive activities and information optimized for their emotional state.

[0186] For example, if a user says, "I've been feeling stressed lately," the emotion analysis model will recognize that emotion, and the server will send a suggestion for an online yoga session for relaxation to the user's device. This allows the user to receive care at the appropriate time and achieve emotional stability.

[0187] An example of a prompt for a generative AI model is, "When the user's emotional state changes, what activities should be suggested to provide appropriate care?" This prompt allows the system to make accurate suggestions that meet the user's needs.

[0188] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0189] Step 1:

[0190] The device collects the user's voice. Its input is the user's biometric voice data, which is then saved as an audio file. At this stage, it simply records the audio data.

[0191] Step 2:

[0192] The server receives audio data sent from the terminal. The input is audio file data from the terminal. The server receives this data and converts it into a format that can be analyzed on the server side. Specifically, this operation includes data format conversion.

[0193] Step 3:

[0194] The server analyzes the received audio data. The input is the converted audio data, and the output is the determined emotional state. A TensorFlow model is used to perform emotional analysis on the audio data and process the data to estimate the user's emotional state.

[0195] Step 4:

[0196] The server generates an emotional care plan based on the analysis results. The input is the estimated emotional state, and the output is the emotional care plan. Plan generation is performed via Flask, and the server compiles the most suitable suggestions for the user.

[0197] Step 5:

[0198] The server sends the generated emotional care plan to the device. The input is this emotional care plan, and the output is notification information sent to the device. Twilio is used to perform the data calculations required to send the plan to the device.

[0199] Step 6:

[0200] The device notifies the user of the received care plan. The input is notification information sent from the server, and the output is visual or audible feedback to the user. The device performs specific actions to present information to the user using push notifications or alert sounds.

[0201] This processing flow allows users to receive appropriate care based on their emotional state, thereby promoting emotional stability.

[0202] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0203] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0204] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0205] [Second Embodiment]

[0206] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0207] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0208] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0209] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0210] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0211] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0212] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0213] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0214] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0215] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0216] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0217] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0218] This invention is a system that provides comprehensive end-of-life support to users. The system has five main functions: user information gathering, emotional care, action plan generation, legal support, and community collaboration. The following describes specific embodiments for realizing these functions.

[0219] First, let's explain the information gathering process. Users input personal information and their priorities regarding end-of-life planning into their devices via smart speakers or chat apps. The devices analyze this information and send it to a server. The server stores this information in a database, which is then used in subsequent processes.

[0220] Next, regarding emotional state care, the device analyzes voice and text information obtained during interactions with the user to understand the user's emotional state in real time. The server calculates the user's stress level from this data and, if necessary, suggests relaxation techniques. This creates an environment where the user can proceed with end-of-life planning with peace of mind.

[0221] Next, we will discuss the generation of personalized action plans. The server develops an optimal action plan based on the user's information and emotional state. This plan includes a list of legal procedures, recommended health actions, and a schedule that is updated as needed. The plan is communicated to the user via their device, and the user can view details of each item.

[0222] Next, let's discuss the legal support features. When users create legal documents necessary for their end-of-life planning, the server provides templates and guidance on how to fill them out. Users can easily create legal documents using these templates, and if further assistance is needed, the system also includes a feature to connect them with experts.

[0223] Finally, let's discuss the community integration feature. The server presents relevant community activities and events based on the user's hobbies and interests. The terminal notifies the user of the schedule and manages responses regarding participation requests. For example, if a local event matching the user's hobbies is found, the information is sent to the user to encourage participation.

[0224] Thus, the system of the present invention comprehensively provides end-of-life support tailored to the individual needs of users, simplifying procedures and reducing psychological burden.

[0225] The following describes the processing flow.

[0226] Step 1:

[0227] Users enter basic personal information and end-of-life planning wishes through smart speakers or chat apps. This includes their name, age, hobbies, and specific end-of-life goals. The device receives this information and sends it to the server.

[0228] Step 2:

[0229] The server stores the information received from the terminal in a database and simultaneously sets up data points to monitor the user's emotional state. This is to establish the criteria necessary for subsequent emotion analysis.

[0230] Step 3:

[0231] The device acquires voice and text data through conversations with the user. This data is used to analyze the user's emotional state. For example, voice tone and keywords in the text are analyzed to assess levels of anxiety and stress.

[0232] Step 4:

[0233] The server generates appropriate feedback and support messages based on the analysis of the user's emotional state. This allows the device to provide a sense of security and, if necessary, suggest relaxation techniques.

[0234] Step 5:

[0235] The server uses collected personal information and emotional state data to automatically generate an action plan optimized for the user. This plan includes items such as legal procedures, health management, and scheduling, and is delivered to the user via their device.

[0236] Step 6:

[0237] The user reviews the generated action plan through the terminal and requests the creation of legal documents as needed. In this case, the terminal retrieves a template from the server and provides it to the user.

[0238] Step 7:

[0239] The server supports community engagement by recommending appropriate events and activities based on user interests. The device notifies users of these recommendations and manages their intention to participate.

[0240] Step 8:

[0241] To receive user feedback, the device continuously collects interaction data and sends it to the server. The server periodically updates the action plan based on the feedback and provides the user with the latest information.

[0242] (Example 1)

[0243] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0244] With the aging of society and changes in living environments, individuals are increasingly required to prepare for the end of their lives with greater peace of mind. However, managing the procedures and emotional anxieties associated with end-of-life planning is extremely complex, and the diversity and specialized nature of these procedures place an excessive burden on users. To solve this problem, a system is needed that can provide individualized support and a sense of security.

[0245] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0246] In this invention, the server includes information processing means for acquiring and analyzing the user's personal data and emotional state; plan generation means for formulating an optimized action plan based on the data obtained by the information processing means; legal document provision means for assisting in the creation of legal documents based on the action plan; and social collaboration means for promoting participation in social activities according to the user's interests based on the action plan. This enables personalized end-of-life support, simplification of procedures, and provision of a sense of security.

[0247] "Information processing means" refers to a series of functions for acquiring and analyzing users' personal data and emotional states.

[0248] "Plan generation means" refers to a function that formulates an action plan optimized for the user based on data obtained by information processing means.

[0249] "Means of providing legal documents" refers to functions that support the creation of legal documents based on an action plan.

[0250] "Means of social collaboration" refers to functions that promote participation in social activities according to users' interests, based on an action plan.

[0251] This invention is a system that enables users to smoothly proceed with various procedures and psychological care in end-of-life preparations. This system functions primarily based on data exchange between a server, terminals, and users.

[0252] Users input personal information and end-of-life priorities into a device via an interface such as a smart speaker or chat app. This input can be done via voice or text. The device receives this information and analyzes the data using natural language processing technology. After analysis, the device structures the data and sends it to the server via a secure communication protocol.

[0253] The server stores the information received from the terminal in a database and processes it further based on this data. The server uses a generative AI model to analyze the user's emotional state and assess their stress level. For example, the server instructs the AI ​​model via a prompt message such as, "Analyze the user's emotional state and suggest relaxation methods according to their stress level." Based on the AI ​​model's results, a relaxation method suitable for the user is suggested.

[0254] Furthermore, the server develops an action plan optimized for the user based on the acquired data. This plan includes guidance on legal procedures, health management recommendations, and scheduling of end-of-life related tasks. When legal documents are required, the server provides templates to help users efficiently create the necessary documents.

[0255] Furthermore, the server suggests appropriate social activities based on the user's hobbies and interests. The terminal notifies the user of this information, and the user can provide feedback on events and activities they would like to participate in. For example, it can provide information such as "encouraging participation in local arts and craft classes."

[0256] Through the above process, the system provides comprehensive end-of-life support tailored to each individual user, creating an environment where users can proceed with the procedures with peace of mind.

[0257] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0258] Step 1:

[0259] Users input their personal priorities and information into the device via smart speakers or chat apps, either by voice or text. The device uses speech recognition and natural language processing technologies to convert the voice into text data and organize the input information. It analyzes the input information, extracts the user's wishes and needs, and outputs this information in a format ready to be sent to the server.

[0260] Step 2:

[0261] The terminal sends the organized information to the server. This transmission is performed using a secure communication protocol. The server stores the received data in a database and performs a process to prepare the data for subsequent processing. The input is the user's personal information, and the output is the information securely stored in the database.

[0262] Step 3:

[0263] The server utilizes a generative AI model to analyze the user's emotional state. The server prompts the AI ​​model with "Analyze the user's emotional state" and analyzes emotions derived from voice tone and text. The output is quantitative data on the user's stress level and emotional state. This information is used for user feedback and as input for the next steps.

[0264] Step 4:

[0265] Based on the analysis results, the server suggests relaxation methods to reduce the user's stress. For example, it might generate a suggestion such as, "We recommend trying this week's yoga session." This is a specific countermeasure suggested when stress levels are high, and it is notified to the user from their device.

[0266] Step 5:

[0267] The server integrates the received information and analytical data to generate an optimal action plan for the user. This plan includes legal procedures, health management recommendations, and scheduled tasks. The plan is designed to help the user effectively manage their end-of-life planning and is provided to the user via their device.

[0268] Step 6:

[0269] The server provides legal document templates as needed, assisting users in efficiently creating those documents. Once a user begins creating a document through their terminal, the server outputs templates and guide information. Furthermore, it assists with procedures requiring collaboration with experts.

[0270] Step 7:

[0271] The server collects information on local social activities and events based on the user's interests and suggests them to the user. The terminal notifies the user of this information and collects and manages participation requests from the user. For example, a suggestion such as "Would you like to participate in a local event next weekend?" might be made. This provides users with opportunities to actively participate in social activities.

[0272] (Application Example 1)

[0273] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0274] In modern society, when individuals proceed with end-of-life planning, they are required to organize a large amount of information, reduce their psychological burden, and take appropriate actions. In this context, there is a need for an integrated system that conveniently manages emotions in daily life, develops personalized action plans, provides support for legal document preparation, and promotes participation in community activities.

[0275] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0276] In this invention, the server includes information acquisition means, plan generation means, legal support means, group collaboration means, and emotional care support means. This makes it possible to monitor the user's emotions in real time, provide optimal relaxation, formulate an action plan optimized for the individual, and support participation in legal procedures and group activities.

[0277] The "information acquisition means" is a means for collecting and analyzing the personal information and emotional state of the user through voice or text input.

[0278] The "plan generation means" is a means for generating an action plan optimized for the user based on the acquired information.

[0279] The "legal support means" is a means for supporting the creation and provision of legal documents based on the user's action plan.

[0280] The "group cooperation means" is a means for making proposals to encourage participation in group activities based on the user's interests.

[0281] The "emotional care support means" is a means for analyzing the emotional information of the user acquired through voice input and providing relaxation methods and messages.

[0282] The system for implementing this invention is composed of a server and the user's terminal. The server operates by combining the information acquisition means, plan generation means, legal support means, group cooperation means, and emotional care support means.

[0283] The user inputs emotions and personal information using a smartphone or other voice input device. The voice data acquired by the microphone installed in the terminal is converted into text by natural language processing software. This processing uses pre-specified voice recognition software.

[0284] The server processes the acquired text data and analyzes the emotional content of the text. For this purpose, an emotion analysis algorithm and a generation AI model are used to evaluate the user's emotional state. The server generates relaxation methods and encouraging messages based on the user's emotional state and transmits them to the user's terminal.

[0285] As a specific example, assume that the user inputs "I'm a little tired today" by voice. The server analyzes this data and calculates an emotion score. Based on the result, a relaxation suggestion such as "Would you like to try a short meditation?" is sent.

[0286] Examples of the generated prompt sentences are as follows:

[0287] "User: I'm a little tired today.

[0288] AI: To relieve the felt tiredness, would you like to try a short meditation?"

[0289] With such a configuration, while the user is proceeding with the end-of-life process, it becomes possible to effectively plan and implement activities while receiving emotional support.

[0290] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0291] Step 1:

[0292] The user uses the voice input function of the smartphone to input their emotions and state as phrases. This voice data is collected by the terminal. The input voice is specifically content such as "I'm a little tired today".

[0293] Step 2:

[0294] The terminal converts the collected voice data into text data using a voice recognition engine. By using, for example, the Google Speech-to-Text API as the voice recognition engine, it is possible to obtain accurate text from the voice. The input is voice data, and the output is the corresponding text data.

[0295] Step 3:

[0296] The terminal sends the converted text data to the server. The server receives this data and processes it to evaluate the emotional state using an emotion analysis algorithm. Specifically, it uses a generative AI model to calculate the emotion score of the text. The input is text data, and the output is the emotion score.

[0297] Step 4:

[0298] The server generates appropriate relaxation suggestions and encouraging messages for the user based on the analyzed sentiment score. The generated messages might include phrases like, "Why not try a short meditation?" Here, a generative AI model is used to create the prompt text. The input is the sentiment score, and the output is the prompt text.

[0299] Step 5:

[0300] The server sends the generated prompt message to the terminal. The terminal receives this and provides suggestions, such as relaxation methods, to the user by displaying or outputting it audibly. The input is the prompt message, and the output is the information fed back to the user.

[0301] These steps allow users to receive support in planning effective activities while having their emotions taken care of.

[0302] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0303] This invention is a system that supports users in end-of-life planning, and by incorporating an emotion engine, it provides more personalized support based on the user's emotional state. This system integrates data acquisition means, plan generation means, legal support means, community collaboration means, and an emotion engine.

[0304] First, in the data acquisition process, the user inputs personal information and end-of-life-related requests into the terminal through a smart speaker or chat app. The terminal immediately sends the acquired information to the server and constructs initial data based on it. Furthermore, the terminal utilizes an emotion engine during the interaction with the user to analyze the emotional state from voice and text data.

[0305] The server continuously tracks the emotional state analyzed by the emotion engine and monitors changes in real time. Based on this data, the server generates an action plan optimized for the individual needs of the user. This plan includes suggestions for activities according to the user's emotional state and scheduling of legal procedures.

[0306] In terms of legal support, the server provides a guide for creating and providing the legal documents required by the user. Here, explanations and templates for each step are prepared, taking into account the user's emotional state so that complex procedures do not feel burdensome.

[0307] In community collaboration, the server considers the interests of the users and recommends appropriate events and activities according to their emotional state. This information is notified to the user through the terminal, and management of the intention to participate is carried out.

[0308] As a specific example, when the user feels stress in daily life, the emotion engine detects the change and proposes relaxation actions and appropriate community activities. For example, when the emotional state is tending negative, it is possible to recommend participation in an online event that can relax.

[0309] With this system, the user can receive comprehensive support according to their emotional state and can proceed with end-of-life while reducing psychological burden.

[0310] The following explains the processing flow.

[0311] Step 1:

[0312] Users input personal information and their end-of-life planning wishes through smart speakers or chat apps. This includes their name, age, hobbies, and specific end-of-life goals. The device receives this data and prepares to send it to the server.

[0313] Step 2:

[0314] The device interacts with the user via voice and text, and uses an emotion engine to analyze the user's emotional state in real time. This emotional data is derived from voice tone and keyword frequency.

[0315] Step 3:

[0316] The server evaluates the received emotional state data to determine the user's psychological state. This analysis helps understand the user's current emotional state and stress level.

[0317] Step 4:

[0318] The server generates a personalized action plan based on emotional state data and user preferences. This plan includes suggestions for legal procedures, health management, and hobby activities tailored to the user's psychological state.

[0319] Step 5:

[0320] The terminal receives an optimized action plan from the server and presents the details to the user. The user can review each step and ask questions or request adjustments as needed.

[0321] Step 6:

[0322] When a user requests the creation of a legal document, the server prepares a template and provides it to the user via the terminal. The template includes clear instructions and cautionary notes that reflect the user's emotional state.

[0323] Step 7:

[0324] The server recommends events and community activities and provides appropriate options based on the user's emotional state. The terminal notifies the user of this information and manages their willingness to participate.

[0325] Step 8:

[0326] The device collects user feedback and new data and sends it to the server. The server then updates the action plan as needed based on this information and provides further feedback to the user.

[0327] (Example 2)

[0328] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0329] In end-of-life planning, it is necessary to alleviate the psychological and procedural burdens faced by users and to provide support tailored to their individual emotional states and interests. However, current systems make it difficult to efficiently analyze emotional states and provide individualized plans. Therefore, it is necessary to provide methods for optimizing individual plans for users and promoting smooth social participation.

[0330] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0331] In this invention, the server includes data processing means for collecting user information and emotions and constructing an initial dataset based thereon; plan construction means for analyzing the emotional information obtained by the data processing means in real time and generating an optimized activity plan; and mutual cooperation means for recommending social activities that correspond to the user's interests and emotions based on the activity plan and managing their desire to participate. This enables the provision of support that is appropriate to the user's emotional state and the optimization of individual plans, including legal procedures.

[0332] "User information" refers to all information necessary for the operation of the system, including users' personal data, requests, and interests.

[0333] "Emotion" refers to the psychological response or sensory state that a user exhibits in response to a specific situation or stimulus.

[0334] "Data processing means" refers to a component that has the function of analyzing and organizing acquired data and generating an initial dataset.

[0335] "Emotional information" refers to data about the user's emotional state, including its real-time changes.

[0336] "Planning methods" refer to the process of formulating an optimal activity plan for users based on acquired data and emotional information.

[0337] An "activity plan" refers to a schedule of proposed activities and events created based on the user's emotions and individual needs.

[0338] "Legal support tools" refer to components that have the functionality to provide assistance in creating legal documents and related guidance that users require.

[0339] "Means of mutual cooperation" refers to functions for recommending and managing appropriate participation in social activities and events proposed based on users' emotions and interests.

[0340] This invention is a system designed to support users in their end-of-life planning, aiming to provide personalized support tailored to their emotions by effectively utilizing various data. This system integrates a terminal for acquiring and processing data, a server for analyzing the data and formulating an activity plan, and an emotion engine that supports all of these.

[0341] First, users input the necessary information and requests into the device using a smart speaker or chat app. Both voice and text input are possible, and the input data is analyzed using natural language processing technology. Specifically, general-purpose speech recognition software is used for voice data, and a natural language processing engine is utilized for text data.

[0342] The device immediately sends the received information to the server, which uses this information to build an initial dataset. The server also uses an emotion engine to analyze the user's emotional state in real time from voice and text data and track its changes.

[0343] Based on the output obtained from the emotion engine, the server uses a generative AI model to generate a personalized activity plan for the user. This plan includes suggestions for appropriate activities that match the user's emotions and scheduling of legal procedures. For example, if the user is feeling stressed, the server can suggest online activities aimed at relaxation. A concrete example of a prompt statement could be, "How can I suggest events that will help the user relax?"

[0344] Furthermore, the server provides templates and guides to support users in creating the legal documents they need through legal support mechanisms. These guides are designed to be easy to follow, with clear step-by-step explanations, allowing users to proceed at their own pace.

[0345] As a means of community engagement, the server proposes social activities that take into account the user's interests and notifies the user via their device. These notifications include features such as calendar integration, allowing for the management of participation requests.

[0346] This system allows users to efficiently proceed with end-of-life planning while receiving appropriate support tailored to their emotional state and living circumstances.

[0347] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0348] Step 1:

[0349] Users input personal information and end-of-life planning requests via voice or text using a smart speaker or chat app. The input data is analyzed by a natural language processing engine on the device, and the user's intentions and requests are extracted as structured information. The output structured data is immediately sent to the server.

[0350] Step 2:

[0351] The server constructs an initial dataset based on the user's structured data received from the terminal. This process involves storing information in a database and forming a basic set of information for creating user profiles. Data processing includes sorting out duplicate data and standardizing the format, resulting in the output of the user profile.

[0352] Step 3:

[0353] The device inputs the acquired voice and text data into the emotion engine to analyze the user's emotional state. The analyzed emotional data is output as a numerical score for each emotional state, and this output data is transmitted to the server in real time. The emotion engine identifies positive, negative, and neutral emotions from the user's speech and generates data based on this.

[0354] Step 4:

[0355] The server inputs prompts into a generative AI model based on real-time emotional state scores and user profiles, generating an optimized activity plan. For example, if the prompt is "How can we suggest activities that will help the user relax?", the generated plan will include suggested activities. The model's output is then reflected in personalized activity suggestions and schedules for the user.

[0356] Step 5:

[0357] The server provides assistance in creating necessary legal documents based on the activity plan. Considering the user's emotional state and to handle complex procedures, step-by-step guides and templates are created and provided to the user. Document generation uses automated template technology, and the results are output in a format that is easy for the user to understand.

[0358] Step 6:

[0359] The server recommends social activities tailored to the user's interests and emotional state. This information is notified to the device, allowing the user to manage their participation preferences. The server also integrates with calendar apps to schedule suggested events, outputting event information in a user-friendly format.

[0360] (Application Example 2)

[0361] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0362] In an aging society, individualized care based on emotional states is required to ensure that users can spend their end-of-life period with peace of mind. However, it is not easy for caregivers and family members to accurately grasp the emotional state of users and to quickly provide appropriate care plans. Therefore, a system that provides comprehensive care based on emotions is necessary.

[0363] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0364] In this invention, the server includes information acquisition means for collecting and analyzing the user's biometric data and emotional state, schedule generation means for generating an emotional care plan based on the data obtained by the information acquisition means, and care support means for providing activity suggestions and information based on the emotional care plan. This makes it possible to appropriately understand the user's emotional state and provide a care plan tailored to that state.

[0365] "Information acquisition means" refers to a series of processes for collecting and analyzing users' biometric data and emotional states.

[0366] A "schedule generation method" is a means of automatically creating a care plan that is appropriate to the user's emotional state based on collected data.

[0367] "Care support measures" refer to means of providing users with appropriate activity suggestions and information based on the generated care plan.

[0368] "Method of reserving participation" refers to a means of organizing and managing users' participation preferences based on proposed activities and care plans.

[0369] The system of the present invention is configured to allow users to understand their own emotional state using a device such as a smartphone or smart glasses, and to receive appropriate care based on that understanding.

[0370] First, as a means of acquiring information, the device uses its built-in microphone to collect the user's voice data. This voice data is analyzed using an emotion analysis model to determine the emotional state. Machine learning libraries such as TensorFlow are used for the analysis.

[0371] Next, as a means of generating a schedule, the server automatically generates an optimal care plan for the user based on the analyzed emotional state. This plan includes content that takes the user's emotional state into consideration and is generated in real time by server processing using Flask.

[0372] Subsequently, as a means of care support, the generated plan is sent to the device via notification services such as Twilio. This allows users to immediately receive activities and information optimized for their emotional state.

[0373] For example, if a user says, "I've been feeling stressed lately," the emotion analysis model will recognize that emotion, and the server will send a suggestion for an online yoga session for relaxation to the user's device. This allows the user to receive care at the appropriate time and achieve emotional stability.

[0374] An example of a prompt for a generative AI model is, "When the user's emotional state changes, what activities should be suggested to provide appropriate care?" This prompt allows the system to make accurate suggestions that meet the user's needs.

[0375] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0376] Step 1:

[0377] The device collects the user's voice. Its input is the user's biometric voice data, which is then saved as an audio file. At this stage, it simply records the audio data.

[0378] Step 2:

[0379] The server receives audio data sent from the terminal. The input is audio file data from the terminal. The server receives this data and converts it into a format that can be analyzed on the server side. Specifically, this operation includes data format conversion.

[0380] Step 3:

[0381] The server analyzes the received audio data. The input is the converted audio data, and the output is the determined emotional state. A TensorFlow model is used to perform emotional analysis on the audio data and process the data to estimate the user's emotional state.

[0382] Step 4:

[0383] The server generates an emotional care plan based on the analysis results. The input is the estimated emotional state, and the output is the emotional care plan. Plan generation is performed via Flask, and the server compiles the most suitable suggestions for the user.

[0384] Step 5:

[0385] The server sends the generated emotional care plan to the device. The input is this emotional care plan, and the output is notification information sent to the device. Twilio is used to perform the data calculations required to send the plan to the device.

[0386] Step 6:

[0387] The device notifies the user of the received care plan. The input is notification information sent from the server, and the output is visual or audible feedback to the user. The device performs specific actions to present information to the user using push notifications or alert sounds.

[0388] This processing flow allows users to receive appropriate care based on their emotional state, thereby promoting emotional stability.

[0389] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0390] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0391] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0392] [Third Embodiment]

[0393] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0394] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0395] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0396] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0397] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0398] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0399] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0400] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0401] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0402] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0403] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0404] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0405] This invention is a system that provides comprehensive end-of-life support to users. The system has five main functions: user information gathering, emotional care, action plan generation, legal support, and community collaboration. The following describes specific embodiments for realizing these functions.

[0406] First, let's explain the information gathering process. Users input personal information and their priorities regarding end-of-life planning into their devices via smart speakers or chat apps. The devices analyze this information and send it to a server. The server stores this information in a database, which is then used in subsequent processes.

[0407] Next, regarding emotional state care, the device analyzes voice and text information obtained during interactions with the user to understand the user's emotional state in real time. The server calculates the user's stress level from this data and, if necessary, suggests relaxation techniques. This creates an environment where the user can proceed with end-of-life planning with peace of mind.

[0408] Next, we will discuss the generation of personalized action plans. The server develops an optimal action plan based on the user's information and emotional state. This plan includes a list of legal procedures, recommended health actions, and a schedule that is updated as needed. The plan is communicated to the user via their device, and the user can view details of each item.

[0409] Next, let's discuss the legal support features. When users create legal documents necessary for their end-of-life planning, the server provides templates and guidance on how to fill them out. Users can easily create legal documents using these templates, and if further assistance is needed, the system also includes a feature to connect them with experts.

[0410] Finally, let's discuss the community integration feature. The server presents relevant community activities and events based on the user's hobbies and interests. The terminal notifies the user of the schedule and manages responses regarding participation requests. For example, if a local event matching the user's hobbies is found, the information is sent to the user to encourage participation.

[0411] Thus, the system of the present invention comprehensively provides end-of-life support tailored to the individual needs of users, simplifying procedures and reducing psychological burden.

[0412] The following describes the processing flow.

[0413] Step 1:

[0414] Users enter basic personal information and end-of-life planning wishes through smart speakers or chat apps. This includes their name, age, hobbies, and specific end-of-life goals. The device receives this information and sends it to the server.

[0415] Step 2:

[0416] The server stores the information received from the terminal in a database and simultaneously sets up data points to monitor the user's emotional state. This is to establish the criteria necessary for subsequent emotion analysis.

[0417] Step 3:

[0418] The device acquires voice and text data through conversations with the user. This data is used to analyze the user's emotional state. For example, voice tone and keywords in the text are analyzed to assess levels of anxiety and stress.

[0419] Step 4:

[0420] The server generates appropriate feedback and support messages based on the analysis of the user's emotional state. This allows the device to provide a sense of security and, if necessary, suggest relaxation techniques.

[0421] Step 5:

[0422] The server uses collected personal information and emotional state data to automatically generate an action plan optimized for the user. This plan includes items such as legal procedures, health management, and scheduling, and is delivered to the user via their device.

[0423] Step 6:

[0424] The user reviews the generated action plan through the terminal and requests the creation of legal documents as needed. In this case, the terminal retrieves a template from the server and provides it to the user.

[0425] Step 7:

[0426] The server supports community engagement by recommending appropriate events and activities based on user interests. The device notifies users of these recommendations and manages their intention to participate.

[0427] Step 8:

[0428] To receive user feedback, the device continuously collects interaction data and sends it to the server. The server periodically updates the action plan based on the feedback and provides the user with the latest information.

[0429] (Example 1)

[0430] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0431] With the aging of society and changes in living environments, individuals are increasingly required to prepare for the end of their lives with greater peace of mind. However, managing the procedures and emotional anxieties associated with end-of-life planning is extremely complex, and the diversity and specialized nature of these procedures place an excessive burden on users. To solve this problem, a system is needed that can provide individualized support and a sense of security.

[0432] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0433] In this invention, the server includes information processing means for acquiring and analyzing the user's personal data and emotional state; plan generation means for formulating an optimized action plan based on the data obtained by the information processing means; legal document provision means for assisting in the creation of legal documents based on the action plan; and social collaboration means for promoting participation in social activities according to the user's interests based on the action plan. This enables personalized end-of-life support, simplification of procedures, and provision of a sense of security.

[0434] "Information processing means" refers to a series of functions for acquiring and analyzing users' personal data and emotional states.

[0435] "Plan generation means" refers to a function that formulates an action plan optimized for the user based on data obtained by information processing means.

[0436] "Means of providing legal documents" refers to functions that support the creation of legal documents based on an action plan.

[0437] "Means of social collaboration" refers to functions that promote participation in social activities according to users' interests, based on an action plan.

[0438] This invention is a system that enables users to smoothly proceed with various procedures and psychological care in end-of-life preparations. This system functions primarily based on data exchange between a server, terminals, and users.

[0439] Users input personal information and end-of-life priorities into a device via an interface such as a smart speaker or chat app. This input can be done via voice or text. The device receives this information and analyzes the data using natural language processing technology. After analysis, the device structures the data and sends it to the server via a secure communication protocol.

[0440] The server stores the information received from the terminal in a database and processes it further based on this data. The server uses a generative AI model to analyze the user's emotional state and assess their stress level. For example, the server instructs the AI ​​model via a prompt message such as, "Analyze the user's emotional state and suggest relaxation methods according to their stress level." Based on the AI ​​model's results, a relaxation method suitable for the user is suggested.

[0441] Furthermore, the server develops an action plan optimized for the user based on the acquired data. This plan includes guidance on legal procedures, health management recommendations, and scheduling of end-of-life related tasks. When legal documents are required, the server provides templates to help users efficiently create the necessary documents.

[0442] Furthermore, the server suggests appropriate social activities based on the user's hobbies and interests. The terminal notifies the user of this information, and the user can provide feedback on events and activities they would like to participate in. For example, it can provide information such as "encouraging participation in local arts and craft classes."

[0443] Through the above process, the system provides comprehensive end-of-life support tailored to each individual user, creating an environment where users can proceed with the procedures with peace of mind.

[0444] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0445] Step 1:

[0446] Users input their personal priorities and information into the device via smart speakers or chat apps, either by voice or text. The device uses speech recognition and natural language processing technologies to convert the voice into text data and organize the input information. It analyzes the input information, extracts the user's wishes and needs, and outputs this information in a format ready to be sent to the server.

[0447] Step 2:

[0448] The terminal sends the organized information to the server. This transmission is performed using a secure communication protocol. The server stores the received data in a database and performs a process to prepare the data for subsequent processing. The input is the user's personal information, and the output is the information securely stored in the database.

[0449] Step 3:

[0450] The server utilizes a generative AI model to analyze the user's emotional state. The server prompts the AI ​​model with "Analyze the user's emotional state" and analyzes emotions derived from voice tone and text. The output is quantitative data on the user's stress level and emotional state. This information is used for user feedback and as input for the next steps.

[0451] Step 4:

[0452] Based on the analysis results, the server suggests relaxation methods to reduce the user's stress. For example, it might generate a suggestion such as, "We recommend trying this week's yoga session." This is a specific countermeasure suggested when stress levels are high, and it is notified to the user from their device.

[0453] Step 5:

[0454] The server integrates the received information and analytical data to generate an optimal action plan for the user. This plan includes legal procedures, health management recommendations, and scheduled tasks. The plan is designed to help the user effectively manage their end-of-life planning and is provided to the user via their device.

[0455] Step 6:

[0456] The server provides legal document templates as needed, assisting users in efficiently creating those documents. Once a user begins creating a document through their terminal, the server outputs templates and guide information. Furthermore, it assists with procedures requiring collaboration with experts.

[0457] Step 7:

[0458] The server collects information on local social activities and events based on the user's interests and suggests them to the user. The terminal notifies the user of this information and collects and manages participation requests from the user. For example, a suggestion such as "Would you like to participate in a local event next weekend?" might be made. This provides users with opportunities to actively participate in social activities.

[0459] (Application Example 1)

[0460] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0461] In modern society, when individuals proceed with end-of-life planning, they are required to organize a large amount of information, reduce their psychological burden, and take appropriate actions. In this context, there is a need for an integrated system that conveniently manages emotions in daily life, develops personalized action plans, provides support for legal document preparation, and promotes participation in community activities.

[0462] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0463] In this invention, the server includes information acquisition means, plan generation means, legal support means, group collaboration means, and emotional care support means. This makes it possible to monitor the user's emotions in real time, provide optimal relaxation, formulate an action plan optimized for the individual, and support participation in legal procedures and group activities.

[0464] "Information acquisition methods" refer to means of collecting and analyzing users' personal information and emotional states through voice or text input.

[0465] A "plan generation method" is a means of generating an action plan optimized for the user based on acquired information.

[0466] "Legal support measures" refer to means of assisting users in creating and providing legal documents based on their action plans.

[0467] "Methods for group collaboration" refer to methods of proposing participation in group activities based on users' interests.

[0468] "Emotional care support means" refers to a method of analyzing the user's emotional information obtained through voice input and providing relaxation methods and messages.

[0469] The system for implementing this invention consists of a server and a user terminal. The server operates by combining information acquisition means, plan generation means, legal support means, group collaboration means, and emotional care support means.

[0470] Users input emotions and personal information using smartphones or other voice input devices. The voice data captured by the device's built-in microphone is converted into text by natural language processing software. This process utilizes pre-specified speech recognition software.

[0471] The server processes the acquired text data and analyzes its emotional content. For this purpose, sentiment analysis algorithms and generative AI models are used to assess the user's emotional state. Based on the user's emotional state, the server generates relaxation methods and encouraging messages, which are then sent to the user's device.

[0472] As a concrete example, let's consider a scenario where a user voice-inputs, "I'm feeling a little tired today." The server analyzes this data and calculates an emotional score. Based on the result, it sends a relaxation suggestion such as, "Why not try a short meditation?"

[0473] Examples of generated prompt statements include the following:

[0474] "User: I'm a little tired today."

[0475] AI: "Why not try a short meditation to alleviate the fatigue you're feeling?"

[0476] This configuration allows users to effectively plan and implement end-of-life planning activities while receiving emotional support.

[0477] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0478] Step 1:

[0479] Users use their smartphone's voice input function to input their emotions or state of mind as phrases. This voice data is collected by the device. Specifically, the input voice might say something like, "I'm feeling a little tired today."

[0480] Step 2:

[0481] The device converts collected audio data into text data using a speech recognition engine. By using an engine such as the Google Speech-to-Text API, it is possible to obtain accurate text from audio. The input is audio data, and the output is the corresponding text data.

[0482] Step 3:

[0483] The terminal sends the converted text data to the server. The server receives this data and processes it to evaluate the emotional state using an emotion analysis algorithm. Specifically, it uses a generative AI model to calculate the emotion score of the text. The input is text data, and the output is the emotion score.

[0484] Step 4:

[0485] The server generates appropriate relaxation suggestions and encouraging messages for the user based on the analyzed sentiment score. The generated messages might include phrases like, "Why not try a short meditation?" Here, a generative AI model is used to create the prompt text. The input is the sentiment score, and the output is the prompt text.

[0486] Step 5:

[0487] The server sends the generated prompt message to the terminal. The terminal receives this and provides suggestions, such as relaxation methods, to the user by displaying or outputting it audibly. The input is the prompt message, and the output is the information fed back to the user.

[0488] These steps allow users to receive support in planning effective activities while having their emotions taken care of.

[0489] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0490] This invention is a system that supports users in end-of-life planning, and by incorporating an emotion engine, it provides more personalized support based on the user's emotional state. This system integrates data acquisition means, plan generation means, legal support means, community collaboration means, and an emotion engine.

[0491] First, in the data acquisition process, users input personal information and end-of-life planning requests into a device via a smart speaker or chat app. The device immediately sends the acquired information to a server, which then constructs the initial data. Furthermore, the device utilizes an emotion engine during its interaction with the user to analyze their emotional state from voice and text data.

[0492] The server continuously tracks emotional states analyzed by the emotion engine and monitors changes in real time. Based on this data, the server generates action plans optimized for each user's individual needs. These plans include suggestions for activities and scheduling of legal procedures based on the user's emotional state.

[0493] In terms of legal support, the server provides a guide for users to create and provide the legal documents they need. This guide takes into account the user's emotional state and provides step-by-step instructions and templates to ensure that complex procedures are not perceived as burdensome.

[0494] In community integration, the server considers users' interests and recommends appropriate events and activities based on their emotional state. This information is notified to users via their devices, and participation requests are managed.

[0495] As a concrete example, when a user experiences stress in their daily life, the emotion engine detects this change and suggests relaxing actions or appropriate community activities. For instance, if the user's emotional state is leaning towards negative, it can recommend participation in a relaxing online event.

[0496] This system allows users to receive comprehensive support tailored to their emotional state, enabling them to proceed with end-of-life planning while reducing psychological burden.

[0497] The following describes the processing flow.

[0498] Step 1:

[0499] Users input personal information and their end-of-life planning wishes through smart speakers or chat apps. This includes their name, age, hobbies, and specific end-of-life goals. The device receives this data and prepares to send it to the server.

[0500] Step 2:

[0501] The device interacts with the user via voice and text, and uses an emotion engine to analyze the user's emotional state in real time. This emotional data is derived from voice tone and keyword frequency.

[0502] Step 3:

[0503] The server evaluates the received emotional state data to determine the user's psychological state. This analysis helps understand the user's current emotional state and stress level.

[0504] Step 4:

[0505] The server generates a personalized action plan based on emotional state data and user preferences. This plan includes suggestions for legal procedures, health management, and hobby activities tailored to the user's psychological state.

[0506] Step 5:

[0507] The terminal receives an optimized action plan from the server and presents the details to the user. The user can review each step and ask questions or request adjustments as needed.

[0508] Step 6:

[0509] When a user requests the creation of a legal document, the server prepares a template and provides it to the user via the terminal. The template includes clear instructions and cautionary notes that reflect the user's emotional state.

[0510] Step 7:

[0511] The server recommends events and community activities and provides appropriate options based on the user's emotional state. The terminal notifies the user of this information and manages their willingness to participate.

[0512] Step 8:

[0513] The device collects user feedback and new data and sends it to the server. The server then updates the action plan as needed based on this information and provides further feedback to the user.

[0514] (Example 2)

[0515] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0516] In end-of-life planning, it is necessary to alleviate the psychological and procedural burdens faced by users and to provide support tailored to their individual emotional states and interests. However, current systems make it difficult to efficiently analyze emotional states and provide individualized plans. Therefore, it is necessary to provide methods for optimizing individual plans for users and promoting smooth social participation.

[0517] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0518] In this invention, the server includes data processing means for collecting user information and emotions and constructing an initial dataset based thereon; plan construction means for analyzing the emotional information obtained by the data processing means in real time and generating an optimized activity plan; and mutual cooperation means for recommending social activities that correspond to the user's interests and emotions based on the activity plan and managing their desire to participate. This enables the provision of support that is appropriate to the user's emotional state and the optimization of individual plans, including legal procedures.

[0519] "User information" refers to all information necessary for the operation of the system, including users' personal data, requests, and interests.

[0520] "Emotion" refers to the psychological response or sensory state that a user exhibits in response to a specific situation or stimulus.

[0521] "Data processing means" refers to a component that has the function of analyzing and organizing acquired data and generating an initial dataset.

[0522] "Emotional information" refers to data about the user's emotional state, including its real-time changes.

[0523] "Planning methods" refer to the process of formulating an optimal activity plan for users based on acquired data and emotional information.

[0524] An "activity plan" refers to a schedule of proposed activities and events created based on the user's emotions and individual needs.

[0525] "Legal support tools" refer to components that have the functionality to provide assistance in creating legal documents and related guidance that users require.

[0526] "Means of mutual cooperation" refers to functions for recommending and managing appropriate participation in social activities and events proposed based on users' emotions and interests.

[0527] This invention is a system designed to support users in their end-of-life planning, aiming to provide personalized support tailored to their emotions by effectively utilizing various data. This system integrates a terminal for acquiring and processing data, a server for analyzing the data and formulating an activity plan, and an emotion engine that supports all of these.

[0528] First, users input the necessary information and requests into the device using a smart speaker or chat app. Both voice and text input are possible, and the input data is analyzed using natural language processing technology. Specifically, general-purpose speech recognition software is used for voice data, and a natural language processing engine is utilized for text data.

[0529] The device immediately sends the received information to the server, which uses this information to build an initial dataset. The server also uses an emotion engine to analyze the user's emotional state in real time from voice and text data and track its changes.

[0530] Based on the output obtained from the emotion engine, the server uses a generative AI model to generate a personalized activity plan for the user. This plan includes suggestions for appropriate activities that match the user's emotions and scheduling of legal procedures. For example, if the user is feeling stressed, the server can suggest online activities aimed at relaxation. A concrete example of a prompt statement could be, "How can I suggest events that will help the user relax?"

[0531] Furthermore, the server provides templates and guides to support users in creating the legal documents they need through legal support mechanisms. These guides are designed to be easy to follow, with clear step-by-step explanations, allowing users to proceed at their own pace.

[0532] As a means of community engagement, the server proposes social activities that take into account the user's interests and notifies the user via their device. These notifications include features such as calendar integration, allowing for the management of participation requests.

[0533] This system allows users to efficiently proceed with end-of-life planning while receiving appropriate support tailored to their emotional state and living circumstances.

[0534] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0535] Step 1:

[0536] Users input personal information and end-of-life planning requests via voice or text using a smart speaker or chat app. The input data is analyzed by a natural language processing engine on the device, and the user's intentions and requests are extracted as structured information. The output structured data is immediately sent to the server.

[0537] Step 2:

[0538] The server constructs an initial dataset based on the user's structured data received from the terminal. This process involves storing information in a database and forming a basic set of information for creating user profiles. Data processing includes sorting out duplicate data and standardizing the format, resulting in the output of the user profile.

[0539] Step 3:

[0540] The device inputs the acquired voice and text data into the emotion engine to analyze the user's emotional state. The analyzed emotional data is output as a numerical score for each emotional state, and this output data is transmitted to the server in real time. The emotion engine identifies positive, negative, and neutral emotions from the user's speech and generates data based on this.

[0541] Step 4:

[0542] The server inputs prompts into a generative AI model based on real-time emotional state scores and user profiles, generating an optimized activity plan. For example, if the prompt is "How can we suggest activities that will help the user relax?", the generated plan will include suggested activities. The model's output is then reflected in personalized activity suggestions and schedules for the user.

[0543] Step 5:

[0544] The server provides assistance in creating necessary legal documents based on the activity plan. Considering the user's emotional state and to handle complex procedures, step-by-step guides and templates are created and provided to the user. Document generation uses automated template technology, and the results are output in a format that is easy for the user to understand.

[0545] Step 6:

[0546] The server recommends social activities tailored to the user's interests and emotional state. This information is notified to the device, allowing the user to manage their participation preferences. The server also integrates with calendar apps to schedule suggested events, outputting event information in a user-friendly format.

[0547] (Application Example 2)

[0548] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0549] In an aging society, individualized care based on emotional states is required to ensure that users can spend their end-of-life period with peace of mind. However, it is not easy for caregivers and family members to accurately grasp the emotional state of users and to quickly provide appropriate care plans. Therefore, a system that provides comprehensive care based on emotions is necessary.

[0550] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0551] In this invention, the server includes information acquisition means for collecting and analyzing the user's biometric data and emotional state, schedule generation means for generating an emotional care plan based on the data obtained by the information acquisition means, and care support means for providing activity suggestions and information based on the emotional care plan. This makes it possible to appropriately understand the user's emotional state and provide a care plan tailored to that state.

[0552] "Information acquisition means" refers to a series of processes for collecting and analyzing users' biometric data and emotional states.

[0553] A "schedule generation method" is a means of automatically creating a care plan that is appropriate to the user's emotional state based on collected data.

[0554] "Care support measures" refer to means of providing users with appropriate activity suggestions and information based on the generated care plan.

[0555] "Method of reserving participation" refers to a means of organizing and managing users' participation preferences based on proposed activities and care plans.

[0556] The system of the present invention is configured to allow users to understand their own emotional state using a device such as a smartphone or smart glasses, and to receive appropriate care based on that understanding.

[0557] First, as a means of acquiring information, the device uses its built-in microphone to collect the user's voice data. This voice data is analyzed using an emotion analysis model to determine the emotional state. Machine learning libraries such as TensorFlow are used for the analysis.

[0558] Next, as a means of generating a schedule, the server automatically generates an optimal care plan for the user based on the analyzed emotional state. This plan includes content that takes the user's emotional state into consideration and is generated in real time by server processing using Flask.

[0559] Subsequently, as a means of care support, the generated plan is sent to the device via notification services such as Twilio. This allows users to immediately receive activities and information optimized for their emotional state.

[0560] For example, if a user says, "I've been feeling stressed lately," the emotion analysis model will recognize that emotion, and the server will send a suggestion for an online yoga session for relaxation to the user's device. This allows the user to receive care at the appropriate time and achieve emotional stability.

[0561] An example of a prompt for a generative AI model is, "When the user's emotional state changes, what activities should be suggested to provide appropriate care?" This prompt allows the system to make accurate suggestions that meet the user's needs.

[0562] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0563] Step 1:

[0564] The device collects the user's voice. Its input is the user's biometric voice data, which is then saved as an audio file. At this stage, it simply records the audio data.

[0565] Step 2:

[0566] The server receives audio data sent from the terminal. The input is audio file data from the terminal. The server receives this data and converts it into a format that can be analyzed on the server side. Specifically, this operation includes data format conversion.

[0567] Step 3:

[0568] The server analyzes the received audio data. The input is the converted audio data, and the output is the determined emotional state. A TensorFlow model is used to perform emotional analysis on the audio data and process the data to estimate the user's emotional state.

[0569] Step 4:

[0570] The server generates an emotional care plan based on the analysis results. The input is the estimated emotional state, and the output is the emotional care plan. Plan generation is performed via Flask, and the server compiles the most suitable suggestions for the user.

[0571] Step 5:

[0572] The server sends the generated emotional care plan to the device. The input is this emotional care plan, and the output is notification information sent to the device. Twilio is used to perform the data calculations required to send the plan to the device.

[0573] Step 6:

[0574] The device notifies the user of the received care plan. The input is notification information sent from the server, and the output is visual or audible feedback to the user. The device performs specific actions to present information to the user using push notifications or alert sounds.

[0575] This processing flow allows users to receive appropriate care based on their emotional state, thereby promoting emotional stability.

[0576] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0577] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0578] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0579] [Fourth Embodiment]

[0580] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0581] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0582] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0583] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0584] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0585] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0586] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0587] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0588] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0589] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0590] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0591] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0592] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0593] This invention is a system that provides comprehensive end-of-life support to users. The system has five main functions: user information gathering, emotional care, action plan generation, legal support, and community collaboration. The following describes specific embodiments for realizing these functions.

[0594] First, let's explain the information gathering process. Users input personal information and their priorities regarding end-of-life planning into their devices via smart speakers or chat apps. The devices analyze this information and send it to a server. The server stores this information in a database, which is then used in subsequent processes.

[0595] Next, regarding emotional state care, the device analyzes voice and text information obtained during interactions with the user to understand the user's emotional state in real time. The server calculates the user's stress level from this data and, if necessary, suggests relaxation techniques. This creates an environment where the user can proceed with end-of-life planning with peace of mind.

[0596] Next, we will discuss the generation of personalized action plans. The server develops an optimal action plan based on the user's information and emotional state. This plan includes a list of legal procedures, recommended health actions, and a schedule that is updated as needed. The plan is communicated to the user via their device, and the user can view details of each item.

[0597] Next, let's discuss the legal support features. When users create legal documents necessary for their end-of-life planning, the server provides templates and guidance on how to fill them out. Users can easily create legal documents using these templates, and if further assistance is needed, the system also includes a feature to connect them with experts.

[0598] Finally, let's discuss the community integration feature. The server presents relevant community activities and events based on the user's hobbies and interests. The terminal notifies the user of the schedule and manages responses regarding participation requests. For example, if a local event matching the user's hobbies is found, the information is sent to the user to encourage participation.

[0599] Thus, the system of the present invention comprehensively provides end-of-life support tailored to the individual needs of users, simplifying procedures and reducing psychological burden.

[0600] The following describes the processing flow.

[0601] Step 1:

[0602] Users enter basic personal information and end-of-life planning wishes through smart speakers or chat apps. This includes their name, age, hobbies, and specific end-of-life goals. The device receives this information and sends it to the server.

[0603] Step 2:

[0604] The server stores the information received from the terminal in a database and simultaneously sets up data points to monitor the user's emotional state. This is to establish the criteria necessary for subsequent emotion analysis.

[0605] Step 3:

[0606] The device acquires voice and text data through conversations with the user. This data is used to analyze the user's emotional state. For example, voice tone and keywords in the text are analyzed to assess levels of anxiety and stress.

[0607] Step 4:

[0608] The server generates appropriate feedback and support messages based on the analysis of the user's emotional state. This allows the device to provide a sense of security and, if necessary, suggest relaxation techniques.

[0609] Step 5:

[0610] The server uses collected personal information and emotional state data to automatically generate an action plan optimized for the user. This plan includes items such as legal procedures, health management, and scheduling, and is delivered to the user via their device.

[0611] Step 6:

[0612] The user reviews the generated action plan through the terminal and requests the creation of legal documents as needed. In this case, the terminal retrieves a template from the server and provides it to the user.

[0613] Step 7:

[0614] The server supports community engagement by recommending appropriate events and activities based on user interests. The device notifies users of these recommendations and manages their intention to participate.

[0615] Step 8:

[0616] To receive user feedback, the device continuously collects interaction data and sends it to the server. The server periodically updates the action plan based on the feedback and provides the user with the latest information.

[0617] (Example 1)

[0618] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0619] With the aging of society and changes in living environments, individuals are increasingly required to prepare for the end of their lives with greater peace of mind. However, managing the procedures and emotional anxieties associated with end-of-life planning is extremely complex, and the diversity and specialized nature of these procedures place an excessive burden on users. To solve this problem, a system is needed that can provide individualized support and a sense of security.

[0620] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0621] In this invention, the server includes information processing means for acquiring and analyzing the user's personal data and emotional state; plan generation means for formulating an optimized action plan based on the data obtained by the information processing means; legal document provision means for assisting in the creation of legal documents based on the action plan; and social collaboration means for promoting participation in social activities according to the user's interests based on the action plan. This enables personalized end-of-life support, simplification of procedures, and provision of a sense of security.

[0622] "Information processing means" refers to a series of functions for acquiring and analyzing users' personal data and emotional states.

[0623] "Plan generation means" refers to a function that formulates an action plan optimized for the user based on data obtained by information processing means.

[0624] "Means of providing legal documents" refers to functions that support the creation of legal documents based on an action plan.

[0625] "Means of social collaboration" refers to functions that promote participation in social activities according to users' interests, based on an action plan.

[0626] This invention is a system that enables users to smoothly proceed with various procedures and psychological care in end-of-life preparations. This system functions primarily based on data exchange between a server, terminals, and users.

[0627] Users input personal information and end-of-life priorities into a device via an interface such as a smart speaker or chat app. This input can be done via voice or text. The device receives this information and analyzes the data using natural language processing technology. After analysis, the device structures the data and sends it to the server via a secure communication protocol.

[0628] The server stores the information received from the terminal in a database and processes it further based on this data. The server uses a generative AI model to analyze the user's emotional state and assess their stress level. For example, the server instructs the AI ​​model via a prompt message such as, "Analyze the user's emotional state and suggest relaxation methods according to their stress level." Based on the AI ​​model's results, a relaxation method suitable for the user is suggested.

[0629] Furthermore, the server develops an action plan optimized for the user based on the acquired data. This plan includes guidance on legal procedures, health management recommendations, and scheduling of end-of-life related tasks. When legal documents are required, the server provides templates to help users efficiently create the necessary documents.

[0630] Furthermore, the server suggests appropriate social activities based on the user's hobbies and interests. The terminal notifies the user of this information, and the user can provide feedback on events and activities they would like to participate in. For example, it can provide information such as "encouraging participation in local arts and craft classes."

[0631] Through the above process, the system provides comprehensive end-of-life support tailored to each individual user, creating an environment where users can proceed with the procedures with peace of mind.

[0632] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0633] Step 1:

[0634] Users input their personal priorities and information into the device via smart speakers or chat apps, either by voice or text. The device uses speech recognition and natural language processing technologies to convert the voice into text data and organize the input information. It analyzes the input information, extracts the user's wishes and needs, and outputs this information in a format ready to be sent to the server.

[0635] Step 2:

[0636] The terminal sends the organized information to the server. This transmission is performed using a secure communication protocol. The server stores the received data in a database and performs a process to prepare the data for subsequent processing. The input is the user's personal information, and the output is the information securely stored in the database.

[0637] Step 3:

[0638] The server utilizes a generative AI model to analyze the user's emotional state. The server prompts the AI ​​model with "Analyze the user's emotional state" and analyzes emotions derived from voice tone and text. The output is quantitative data on the user's stress level and emotional state. This information is used for user feedback and as input for the next steps.

[0639] Step 4:

[0640] Based on the analysis results, the server suggests relaxation methods to reduce the user's stress. For example, it might generate a suggestion such as, "We recommend trying this week's yoga session." This is a specific countermeasure suggested when stress levels are high, and it is notified to the user from their device.

[0641] Step 5:

[0642] The server integrates the received information and analytical data to generate an optimal action plan for the user. This plan includes legal procedures, health management recommendations, and scheduled tasks. The plan is designed to help the user effectively manage their end-of-life planning and is provided to the user via their device.

[0643] Step 6:

[0644] The server provides legal document templates as needed, assisting users in efficiently creating those documents. Once a user begins creating a document through their terminal, the server outputs templates and guide information. Furthermore, it assists with procedures requiring collaboration with experts.

[0645] Step 7:

[0646] The server collects information on local social activities and events based on the user's interests and suggests them to the user. The terminal notifies the user of this information and collects and manages participation requests from the user. For example, a suggestion such as "Would you like to participate in a local event next weekend?" might be made. This provides users with opportunities to actively participate in social activities.

[0647] (Application Example 1)

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

[0649] In modern society, when individuals proceed with end-of-life planning, they are required to organize a large amount of information, reduce their psychological burden, and take appropriate actions. In this context, there is a need for an integrated system that conveniently manages emotions in daily life, develops personalized action plans, provides support for legal document preparation, and promotes participation in community activities.

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

[0651] In this invention, the server includes information acquisition means, plan generation means, legal support means, group collaboration means, and emotional care support means. This makes it possible to monitor the user's emotions in real time, provide optimal relaxation, formulate an action plan optimized for the individual, and support participation in legal procedures and group activities.

[0652] "Information acquisition methods" refer to means of collecting and analyzing users' personal information and emotional states through voice or text input.

[0653] A "plan generation method" is a means of generating an action plan optimized for the user based on acquired information.

[0654] "Legal support measures" refer to means of assisting users in creating and providing legal documents based on their action plans.

[0655] "Methods for group collaboration" refer to methods of proposing participation in group activities based on users' interests.

[0656] "Emotional care support means" refers to a method of analyzing the user's emotional information obtained through voice input and providing relaxation methods and messages.

[0657] The system for implementing this invention consists of a server and a user terminal. The server operates by combining information acquisition means, plan generation means, legal support means, group collaboration means, and emotional care support means.

[0658] Users input emotions and personal information using smartphones or other voice input devices. The voice data captured by the device's built-in microphone is converted into text by natural language processing software. This process utilizes pre-specified speech recognition software.

[0659] The server processes the acquired text data and analyzes its emotional content. For this purpose, sentiment analysis algorithms and generative AI models are used to assess the user's emotional state. Based on the user's emotional state, the server generates relaxation methods and encouraging messages, which are then sent to the user's device.

[0660] As a concrete example, let's consider a scenario where a user voice-inputs, "I'm feeling a little tired today." The server analyzes this data and calculates an emotional score. Based on the result, it sends a relaxation suggestion such as, "Why not try a short meditation?"

[0661] Examples of generated prompt statements include the following:

[0662] "User: I'm a little tired today."

[0663] AI: "Why not try a short meditation to alleviate the fatigue you're feeling?"

[0664] This configuration allows users to effectively plan and implement end-of-life planning activities while receiving emotional support.

[0665] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0666] Step 1:

[0667] Users use their smartphone's voice input function to input their emotions or state of mind as phrases. This voice data is collected by the device. Specifically, the input voice might say something like, "I'm feeling a little tired today."

[0668] Step 2:

[0669] The device converts collected audio data into text data using a speech recognition engine. By using an engine such as the Google Speech-to-Text API, it is possible to obtain accurate text from audio. The input is audio data, and the output is the corresponding text data.

[0670] Step 3:

[0671] The terminal sends the converted text data to the server. The server receives this data and processes it to evaluate the emotional state using an emotion analysis algorithm. Specifically, it uses a generative AI model to calculate the emotion score of the text. The input is text data, and the output is the emotion score.

[0672] Step 4:

[0673] The server generates appropriate relaxation suggestions and encouraging messages for the user based on the analyzed sentiment score. The generated messages might include phrases like, "Why not try a short meditation?" Here, a generative AI model is used to create the prompt text. The input is the sentiment score, and the output is the prompt text.

[0674] Step 5:

[0675] The server sends the generated prompt message to the terminal. The terminal receives this and provides suggestions, such as relaxation methods, to the user by displaying or outputting it audibly. The input is the prompt message, and the output is the information fed back to the user.

[0676] These steps allow users to receive support in planning effective activities while having their emotions taken care of.

[0677] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0678] This invention is a system that supports users in end-of-life planning, and by incorporating an emotion engine, it provides more personalized support based on the user's emotional state. This system integrates data acquisition means, plan generation means, legal support means, community collaboration means, and an emotion engine.

[0679] First, in the data acquisition process, users input personal information and end-of-life planning requests into a device via a smart speaker or chat app. The device immediately sends the acquired information to a server, which then constructs the initial data. Furthermore, the device utilizes an emotion engine during its interaction with the user to analyze their emotional state from voice and text data.

[0680] The server continuously tracks emotional states analyzed by the emotion engine and monitors changes in real time. Based on this data, the server generates action plans optimized for each user's individual needs. These plans include suggestions for activities and scheduling of legal procedures based on the user's emotional state.

[0681] In terms of legal support, the server provides a guide for users to create and provide the legal documents they need. This guide takes into account the user's emotional state and provides step-by-step instructions and templates to ensure that complex procedures are not perceived as burdensome.

[0682] In community integration, the server considers users' interests and recommends appropriate events and activities based on their emotional state. This information is notified to users via their devices, and participation requests are managed.

[0683] As a concrete example, when a user experiences stress in their daily life, the emotion engine detects this change and suggests relaxing actions or appropriate community activities. For instance, if the user's emotional state is leaning towards negative, it can recommend participation in a relaxing online event.

[0684] This system allows users to receive comprehensive support tailored to their emotional state, enabling them to proceed with end-of-life planning while reducing psychological burden.

[0685] The following describes the processing flow.

[0686] Step 1:

[0687] Users input personal information and their end-of-life planning wishes through smart speakers or chat apps. This includes their name, age, hobbies, and specific end-of-life goals. The device receives this data and prepares to send it to the server.

[0688] Step 2:

[0689] The device interacts with the user via voice and text, and uses an emotion engine to analyze the user's emotional state in real time. This emotional data is derived from voice tone and keyword frequency.

[0690] Step 3:

[0691] The server evaluates the received emotional state data to determine the user's psychological state. This analysis helps understand the user's current emotional state and stress level.

[0692] Step 4:

[0693] The server generates a personalized action plan based on emotional state data and user preferences. This plan includes suggestions for legal procedures, health management, and hobby activities tailored to the user's psychological state.

[0694] Step 5:

[0695] The terminal receives an optimized action plan from the server and presents the details to the user. The user can review each step and ask questions or request adjustments as needed.

[0696] Step 6:

[0697] When a user requests the creation of a legal document, the server prepares a template and provides it to the user via the terminal. The template includes clear instructions and cautionary notes that reflect the user's emotional state.

[0698] Step 7:

[0699] The server recommends events and community activities and provides appropriate options based on the user's emotional state. The terminal notifies the user of this information and manages their willingness to participate.

[0700] Step 8:

[0701] The device collects user feedback and new data and sends it to the server. The server then updates the action plan as needed based on this information and provides further feedback to the user.

[0702] (Example 2)

[0703] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0704] In end-of-life planning, it is necessary to alleviate the psychological and procedural burdens faced by users and to provide support tailored to their individual emotional states and interests. However, current systems make it difficult to efficiently analyze emotional states and provide individualized plans. Therefore, it is necessary to provide methods for optimizing individual plans for users and promoting smooth social participation.

[0705] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0706] In this invention, the server includes data processing means for collecting user information and emotions and constructing an initial dataset based thereon; plan construction means for analyzing the emotional information obtained by the data processing means in real time and generating an optimized activity plan; and mutual cooperation means for recommending social activities that correspond to the user's interests and emotions based on the activity plan and managing their desire to participate. This enables the provision of support that is appropriate to the user's emotional state and the optimization of individual plans, including legal procedures.

[0707] "User information" refers to all information necessary for the operation of the system, including users' personal data, requests, and interests.

[0708] "Emotion" refers to the psychological response or sensory state that a user exhibits in response to a specific situation or stimulus.

[0709] "Data processing means" refers to a component that has the function of analyzing and organizing acquired data and generating an initial dataset.

[0710] "Emotional information" refers to data about the user's emotional state, including its real-time changes.

[0711] "Planning methods" refer to the process of formulating an optimal activity plan for users based on acquired data and emotional information.

[0712] An "activity plan" refers to a schedule of proposed activities and events created based on the user's emotions and individual needs.

[0713] "Legal support tools" refer to components that have the functionality to provide assistance in creating legal documents and related guidance that users require.

[0714] "Means of mutual cooperation" refers to functions for recommending and managing appropriate participation in social activities and events proposed based on users' emotions and interests.

[0715] This invention is a system designed to support users in their end-of-life planning, aiming to provide personalized support tailored to their emotions by effectively utilizing various data. This system integrates a terminal for acquiring and processing data, a server for analyzing the data and formulating an activity plan, and an emotion engine that supports all of these.

[0716] First, users input the necessary information and requests into the device using a smart speaker or chat app. Both voice and text input are possible, and the input data is analyzed using natural language processing technology. Specifically, general-purpose speech recognition software is used for voice data, and a natural language processing engine is utilized for text data.

[0717] The device immediately sends the received information to the server, which uses this information to build an initial dataset. The server also uses an emotion engine to analyze the user's emotional state in real time from voice and text data and track its changes.

[0718] Based on the output obtained from the emotion engine, the server uses a generative AI model to generate a personalized activity plan for the user. This plan includes suggestions for appropriate activities that match the user's emotions and scheduling of legal procedures. For example, if the user is feeling stressed, the server can suggest online activities aimed at relaxation. A concrete example of a prompt statement could be, "How can I suggest events that will help the user relax?"

[0719] Furthermore, the server provides templates and guides to support users in creating the legal documents they need through legal support mechanisms. These guides are designed to be easy to follow, with clear step-by-step explanations, allowing users to proceed at their own pace.

[0720] As a means of community engagement, the server proposes social activities that take into account the user's interests and notifies the user via their device. These notifications include features such as calendar integration, allowing for the management of participation requests.

[0721] This system allows users to efficiently proceed with end-of-life planning while receiving appropriate support tailored to their emotional state and living circumstances.

[0722] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0723] Step 1:

[0724] Users input personal information and end-of-life planning requests via voice or text using a smart speaker or chat app. The input data is analyzed by a natural language processing engine on the device, and the user's intentions and requests are extracted as structured information. The output structured data is immediately sent to the server.

[0725] Step 2:

[0726] The server constructs an initial dataset based on the user's structured data received from the terminal. This process involves storing information in a database and forming a basic set of information for creating user profiles. Data processing includes sorting out duplicate data and standardizing the format, resulting in the output of the user profile.

[0727] Step 3:

[0728] The device inputs the acquired voice and text data into the emotion engine to analyze the user's emotional state. The analyzed emotional data is output as a numerical score for each emotional state, and this output data is transmitted to the server in real time. The emotion engine identifies positive, negative, and neutral emotions from the user's speech and generates data based on this.

[0729] Step 4:

[0730] The server inputs prompts into a generative AI model based on real-time emotional state scores and user profiles, generating an optimized activity plan. For example, if the prompt is "How can we suggest activities that will help the user relax?", the generated plan will include suggested activities. The model's output is then reflected in personalized activity suggestions and schedules for the user.

[0731] Step 5:

[0732] The server provides assistance in creating necessary legal documents based on the activity plan. Considering the user's emotional state and to handle complex procedures, step-by-step guides and templates are created and provided to the user. Document generation uses automated template technology, and the results are output in a format that is easy for the user to understand.

[0733] Step 6:

[0734] The server recommends social activities tailored to the user's interests and emotional state. This information is notified to the device, allowing the user to manage their participation preferences. The server also integrates with calendar apps to schedule suggested events, outputting event information in a user-friendly format.

[0735] (Application Example 2)

[0736] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0737] In an aging society, individualized care based on emotional states is required to ensure that users can spend their end-of-life period with peace of mind. However, it is not easy for caregivers and family members to accurately grasp the emotional state of users and to quickly provide appropriate care plans. Therefore, a system that provides comprehensive care based on emotions is necessary.

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

[0739] In this invention, the server includes information acquisition means for collecting and analyzing the user's biometric data and emotional state, schedule generation means for generating an emotional care plan based on the data obtained by the information acquisition means, and care support means for providing activity suggestions and information based on the emotional care plan. This makes it possible to appropriately understand the user's emotional state and provide a care plan tailored to that state.

[0740] "Information acquisition means" refers to a series of processes for collecting and analyzing users' biometric data and emotional states.

[0741] A "schedule generation method" is a means of automatically creating a care plan that is appropriate to the user's emotional state based on collected data.

[0742] "Care support measures" refer to means of providing users with appropriate activity suggestions and information based on the generated care plan.

[0743] "Method of reserving participation" refers to a means of organizing and managing users' participation preferences based on proposed activities and care plans.

[0744] The system of the present invention is configured to allow users to understand their own emotional state using a device such as a smartphone or smart glasses, and to receive appropriate care based on that understanding.

[0745] First, as a means of acquiring information, the device uses its built-in microphone to collect the user's voice data. This voice data is analyzed using an emotion analysis model to determine the emotional state. Machine learning libraries such as TensorFlow are used for the analysis.

[0746] Next, as a means of generating a schedule, the server automatically generates an optimal care plan for the user based on the analyzed emotional state. This plan includes content that takes the user's emotional state into consideration and is generated in real time by server processing using Flask.

[0747] Subsequently, as a means of care support, the generated plan is sent to the device via notification services such as Twilio. This allows users to immediately receive activities and information optimized for their emotional state.

[0748] For example, if a user says, "I've been feeling stressed lately," the emotion analysis model will recognize that emotion, and the server will send a suggestion for an online yoga session for relaxation to the user's device. This allows the user to receive care at the appropriate time and achieve emotional stability.

[0749] An example of a prompt for a generative AI model is, "When the user's emotional state changes, what activities should be suggested to provide appropriate care?" This prompt allows the system to make accurate suggestions that meet the user's needs.

[0750] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0751] Step 1:

[0752] The device collects the user's voice. Its input is the user's biometric voice data, which is then saved as an audio file. At this stage, it simply records the audio data.

[0753] Step 2:

[0754] The server receives audio data sent from the terminal. The input is audio file data from the terminal. The server receives this data and converts it into a format that can be analyzed on the server side. Specifically, this operation includes data format conversion.

[0755] Step 3:

[0756] The server analyzes the received audio data. The input is the converted audio data, and the output is the determined emotional state. A TensorFlow model is used to perform emotional analysis on the audio data and process the data to estimate the user's emotional state.

[0757] Step 4:

[0758] The server generates an emotional care plan based on the analysis results. The input is the estimated emotional state, and the output is the emotional care plan. Plan generation is performed via Flask, and the server compiles the most suitable suggestions for the user.

[0759] Step 5:

[0760] The server sends the generated emotional care plan to the device. The input is this emotional care plan, and the output is notification information sent to the device. Twilio is used to perform the data calculations required to send the plan to the device.

[0761] Step 6:

[0762] The device notifies the user of the received care plan. The input is notification information sent from the server, and the output is visual or audible feedback to the user. The device performs specific actions to present information to the user using push notifications or alert sounds.

[0763] This processing flow allows users to receive appropriate care based on their emotional state, thereby promoting emotional stability.

[0764] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0765] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0766] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0767] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0768] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0769] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0770] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0771] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0772] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0773] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0774] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0775] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0776] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0777] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0778] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0779] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0780] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0781] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0782] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0783] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0784] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0785] The following is further disclosed regarding the embodiments described above.

[0786] (Claim 1)

[0787] Data acquisition methods for collecting and analyzing users' personal information and emotional states,

[0788] A plan generation means that generates an optimized action plan based on the information obtained by the data acquisition means,

[0789] Legal support measures to assist in the creation and provision of legal documents based on the aforementioned action plan,

[0790] A community collaboration method that proposes community participation tailored to the user's interests based on the aforementioned action plan,

[0791] A system that includes this.

[0792] (Claim 2)

[0793] The system according to claim 1, characterized in that the data acquisition means includes a natural language processing means for analyzing the user's emotional state through voice or text input.

[0794] (Claim 3)

[0795] The system according to claim 1, characterized in that the community collaboration means has the function of providing event schedules based on user interests and managing participation requests.

[0796] "Example 1"

[0797] (Claim 1)

[0798] Information processing means for acquiring and analyzing users' personal data and emotional states,

[0799] A plan generation means for formulating an optimized action plan based on the data obtained by the aforementioned information processing means,

[0800] A means of providing legal documents to support the creation of legal documents based on the aforementioned action plan,

[0801] Based on the aforementioned action plan, a means of social collaboration that promotes participation in social activities according to the user's interests,

[0802] A system that includes this.

[0803] (Claim 2)

[0804] The system according to claim 1, characterized in that the information processing means includes a natural language processing means for analyzing the emotional state of a user using voice or text.

[0805] (Claim 3)

[0806] The system according to claim 1, characterized in that the social collaboration means has a function of presenting an activity schedule based on the user's interests and managing their desire to participate.

[0807] "Application Example 1"

[0808] (Claim 1)

[0809] Information acquisition methods for collecting and analyzing users' personal information and emotional states,

[0810] A plan generation means that generates an optimized action plan based on the information obtained by the information acquisition means,

[0811] Legal support measures to assist in the generation and provision of legal documents based on the aforementioned action plan,

[0812] A means of group collaboration that proposes participation in group activities that match the user's interests based on the aforementioned action plan,

[0813] An emotional care support system that records and analyzes the user's emotions through voice input and provides relaxation methods and messages based on the results,

[0814] A system that includes this.

[0815] (Claim 2)

[0816] The system according to claim 1, characterized in that the information acquisition means includes a natural language processing means for analyzing the user's emotional state through voice or text input.

[0817] (Claim 3)

[0818] The system according to claim 1, characterized in that the group coordination means has the function of providing activity schedules based on users' interests and managing requests for participation.

[0819] "Example 2 of combining an emotion engine"

[0820] (Claim 1)

[0821] A data processing means that collects user information and sentiments and constructs an initial dataset based on it,

[0822] A plan building means that analyzes emotional information obtained by the data processing means in real time and generates an optimized activity plan,

[0823] Legal support measures that provide assistance in document preparation based on the aforementioned activity plan and provide step-by-step instructions,

[0824] Based on the aforementioned activity plan, a means of mutual cooperation is provided to recommend social activities that are in line with the interests and feelings of users, and to manage their desire to participate.

[0825] A system that includes this.

[0826] (Claim 2)

[0827] The system according to claim 1, characterized in that the data processing means includes a natural language understanding means for analyzing the user's emotions through voice and text data.

[0828] (Claim 3)

[0829] The system according to claim 1, characterized in that the mutual cooperation means includes a function to provide an activity timetable based on user preferences and to manage participation requests.

[0830] "Application example 2 when combining with an emotional engine"

[0831] (Claim 1)

[0832] Information acquisition means for collecting and analyzing users' biometric data and emotional states,

[0833] A schedule generation means for generating an emotional care plan based on the data obtained by the information acquisition means,

[0834] Care support means that provide activity suggestions and information based on the aforementioned emotional care plan,

[0835] A participation reservation means for managing proposals to optimize emotional care based on the aforementioned activity proposals,

[0836] A system that includes this.

[0837] (Claim 2)

[0838] The system according to claim 1, characterized in that the information acquisition means includes an analysis means for determining the emotional state of a user through voice or text input.

[0839] (Claim 3)

[0840] The system according to claim 1, characterized in that the care support means has the function of generating instruction documents for care activities based on the user's interests and organizing their participation preferences. [Explanation of symbols]

[0841] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Information acquisition methods for collecting and analyzing users' personal information and emotional states, A plan generation means that generates an optimized action plan based on the information obtained by the information acquisition means, Legal support measures to assist in the generation and provision of legal documents based on the aforementioned action plan, A means of group collaboration that proposes participation in group activities that match the user's interests based on the aforementioned action plan, An emotional care support system that records and analyzes the user's emotions through voice input and provides relaxation methods and messages based on the results, A system that includes this.

2. The system according to claim 1, characterized in that the information acquisition means includes a natural language processing means that analyzes the user's emotional state through voice or text input.

3. The system according to claim 1, characterized in that the group coordination means has the function of providing activity schedules based on the interests of users and managing requests for participation.

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