system

Abstract

We provide the system. [Solution] A means of registering information to receive user input and create a profile, A task management means that generates necessary procedures based on the aforementioned profile and determines their priority, An information provision means for notifying the user of the aforementioned task and providing a detailed procedural guide, A progress management system that manages the progress of completed and incomplete tasks and generates reminders, A consultation support system that generates interactive responses based on user inquiries, 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 method for controlling a persona chatbot, which is performed by at least one processor and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In an aging society, various procedures associated with the death of a deceased person are extremely diverse and complex, imposing a significant mental and time burden on the bereaved family. Especially for the inexperienced younger generation, it is difficult to appropriately proceed with procedures while considering laws and regional customs, and important procedures are likely to be overlooked or confused. In order to solve these problems, there is a need for means to efficiently and comprehensively support procedures and reduce the burden on the bereaved family.

Means for Solving the Problems

[0005] This invention is a system that includes an information registration means for creating a profile based on user input, a task management means for generating necessary procedures and determining their priority based on legal priority and deadlines. Furthermore, it includes an information provision means for notifying the user of the generated tasks and providing detailed procedural guidance, a progress management means for managing progress and generating reminders, and a consultation means for generating interactive answers to user questions. This configuration makes it possible to efficiently and comprehensively provide the necessary information and guidance for the end-of-life planning procedures of a deceased person, thereby reducing the burden on the user.

[0006] "Information registration means" refers to a function that receives input information from users and stores it in a database.

[0007] A "profile" refers to a dataset that organizes a set of information about a user and a deceased person.

[0008] "Task management means" refers to a function that generates necessary procedures based on the user's profile and determines their priority.

[0009] "Information provision means" refers to a function that presents users with task details and procedural guides, and notifies them of necessary information.

[0010] "Progress management means" refers to a function that monitors the completion status of tasks and sends reminders to manage the user's progress.

[0011] "Consultation support means" refers to a function that generates and provides accurate answers to questions and inquiries from users. [Brief explanation of the drawing]

[0012] [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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0013] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0014] First, the terms used in the following description will be explained.

[0015] 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.

[0016] 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.

[0017] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. 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.

[0018] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. 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).

[0019] 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."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] 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.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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".

[0033] This invention is a system that provides support to help users smoothly carry out end-of-life arrangements for the deceased. An embodiment thereof is described below.

[0034] First, the user uses a terminal to enter basic information about the deceased (name, date of birth, date of death, etc.) as well as their relationship to the deceased and contact information. The terminal sends this information to the server, which stores it in a database using an information registration method. This creates a user profile.

[0035] Next, the server uses task management tools to analyze the user profile and list the necessary procedures. The list includes specific tasks (e.g., filing a death certificate, funeral arrangements, preparing inheritance documents), and their priority is determined based on legal deadlines and local customs.

[0036] The server sends the generated task list to the terminal, which visually presents it to the user through an information delivery system. Here, the user can view a detailed guide on the terminal screen regarding the task that should be prioritized first. This includes necessary documents, location of procedures, and reception hours.

[0037] As the user works on a task, the device records the progress, and the server updates the status using progress management tools as needed. The server selects the next task from a list of incomplete tasks and generates a reminder based on the deadline. The device notifies the user of this and prompts them to complete the task in a timely manner.

[0038] Furthermore, if a user has any questions or concerns, they can send an inquiry to the server from their device. The server generates an answer to the question using a consultation system and sends it back to the user via the device. At this time, it retrieves appropriate answers from past data and FAQs and provides information in a way that is easy for the user to understand.

[0039] As a concrete example, consider a scenario where a user is going through the process of scheduling a funeral. Using this system, the user can quickly obtain the necessary information and set the location and date of the procedure without any confusion. They will also receive appropriate guidance on what documents are needed and where to obtain them, preventing procedural omissions and reducing the burden on the bereaved family.

[0040] In this way, the system supports users by integrating and managing various elements in the procedure, thereby improving efficiency and simplicity.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user uses the device to enter the deceased's basic information and their own contact information. The device then compiles the entered information and sends it to the server.

[0044] Step 2:

[0045] The server stores the received information in a database using an information registration mechanism and creates a user profile. This profile stores all the basic information necessary for the procedure.

[0046] Step 3:

[0047] The server analyzes the user profile and generates a task list of necessary procedures. Using task management tools, it determines the priority of each procedure based on legal requirements and deadlines.

[0048] Step 4:

[0049] The server sends the generated task list to the terminal. The terminal uses an information delivery device to display the tasks and their detailed guides to the user.

[0050] Step 5:

[0051] The user reviews the task list displayed on the device and begins the process for their priority task. After completing the process, they update the status on the device.

[0052] Step 6:

[0053] The terminal sends the user's updated progress to the server. The server updates the database using a progress management system and records completed tasks.

[0054] Step 7:

[0055] The server generates reminders based on the deadlines for incomplete tasks. The terminal notifies the user of these reminders to encourage them to proceed with the process without delay.

[0056] Step 8:

[0057] When a user has questions or concerns, they send an inquiry to the server through their device. The server generates an appropriate answer to the question using a consultation system and sends it back to the user through their device.

[0058] In this way, the system executes each step in a sequential manner, comprehensively supporting the user's procedures.

[0059] (Example 1)

[0060] 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."

[0061] When handling end-of-life arrangements for a deceased person, there is a need to eliminate the complexity and ambiguity of the procedures that users face, and to facilitate the quick and reliable completion of necessary procedures. In particular, prioritizing according to legal deadlines and regional requirements, timely provision of necessary information, and accurate management of progress are key challenges.

[0062] 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.

[0063] In this invention, the server includes an information registration means for receiving user input information and creating a profile, a task management means for generating necessary procedures using a generation AI model and determining their priority, and a progress management means for managing the progress of completed and incomplete tasks and generating reminders based on deadlines. This enables users to efficiently complete complex procedures, meet important deadlines, and obtain accurate and necessary information in a timely manner.

[0064] "Information registration means" refers to technology that receives information entered by a user and generates a user profile based on that information.

[0065] A "generative AI model" is an artificial intelligence technology used to analyze user profiles and determine necessary procedures and their priorities.

[0066] A "task management method" is a technique for determining priorities from a generated list of procedures, taking into account legal priorities and local customs.

[0067] "Information provision means" refers to technologies that provide users with timely guidance on necessary procedures and detailed information.

[0068] A "progress management tool" is a technology that manages completed and incomplete tasks and generates deadline-based reminders.

[0069] A "consultation response method" is a technology that, in response to user inquiries, refers to past data and FAQs and provides interactive answers.

[0070] The system in this invention provides a process for users to efficiently carry out end-of-life arrangements for a deceased person. Specifically, it includes an information registration means, a task management means using a generation AI model, an information provision means, a progress management means, and a consultation and support means.

[0071] First, the user enters basic information about the deceased and their own contact information via a terminal. This terminal can be a digital device such as a smartphone or personal computer. The entered information is sent from the terminal to the server. The server receives the data using a secure communication protocol (e.g., HTTPS).

[0072] The server uses an information registration system to store the received information in a database management system (e.g., MySQL® or PostgreSQL) and generates a user profile. The profile is then analyzed by a generating AI model to list the necessary administrative procedures and tasks. These listed tasks are then prioritized by the server, taking into account legal priorities and local customs.

[0073] The server sends a task list to the terminal, which then visually presents it to the user. Detailed guides for each task, required documents, locations, and operating hours are also provided. Progress tracking measures manage completed and incomplete tasks, and reminders are generated based on deadlines.

[0074] Furthermore, if a user has a question, they can send it from their device to the server. The server uses a consultation system, referring to past data and FAQs, to generate an appropriate answer and send it back through the device.

[0075] For example, when a user is in the process of deciding on the date of a funeral, this system allows them to obtain the necessary information in a timely manner and quickly select the location and date of the procedure. Furthermore, by asking the system, "How should I decide on the date of the deceased's funeral?", the user will be guided through detailed procedures and points to note.

[0076] This allows the system to efficiently manage a series of procedures and provide comprehensive support to users.

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] The user uses a terminal to enter basic information about the deceased (name, date of birth, date of death, etc.) and their own contact information. The entered information is converted into a digital format by the terminal and sent to the server. At this time, the terminal uses a secure communication protocol such as HTTPS to ensure the security of the information.

[0080] Step 2:

[0081] The server processes the received information using a database management system and generates a user profile. It stores the data in the database while checking its integrity using an information registration method. At this stage, a unique profile ID is generated based on the user's input information.

[0082] Step 3:

[0083] The server analyzes the user profile using a generative AI model. It lists the necessary administrative procedures and tasks, prioritizing them based on legal deadlines and local customs. This information, output as a task list, is generated by combining a pre-configured rule base with inference from the AI ​​model.

[0084] Step 4:

[0085] The server sends the generated task list to the terminal. The terminal receives it and displays it visually through the user interface. The user can view the task list and check detailed guides (required documents, location of procedures, reception hours, etc.).

[0086] Step 5:

[0087] As a user works on a task, the device records its progress and sends the completion status to the server. The progress management system allows the server to update the database with the latest progress. This enables the server to re-evaluate incomplete tasks, select the next task, and generate reminders.

[0088] Step 6:

[0089] When a user has a question, they send an inquiry to the server through their device. The server uses a consultation system to generate an answer for the user, referring to past data and FAQs. The device then displays the response from the server to the user. This reduces confusion and stress for the user during the process.

[0090] (Application Example 1)

[0091] 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."

[0092] End-of-life planning for the deceased involves numerous procedures and a large amount of information, which places a significant burden on the bereaved family. Furthermore, proper prioritization and guidance are essential to efficiently and reliably carry out these procedures. However, conventional systems lack sufficient progress management and direct, interactive support, resulting in procedural omissions and increased workload.

[0093] 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.

[0094] In this invention, the server includes data registration means for receiving user input information and creating identification information, work management means for generating necessary procedures and determining their priority based on the identification information, and dialogue means for providing interactive guidance via a voice interface and a visual display device. This makes it possible to efficiently manage the procedures required by the user and support the progress of the procedures in real time by providing voice and visual guidance.

[0095] A "user" refers to an individual or organization that uses the system to carry out end-of-life arrangements for a deceased person.

[0096] "Input information" refers to data such as the deceased person's basic information, their relationship with the user, and contact information.

[0097] "Identification information" refers to individual profiles created based on data entered by the user.

[0098] "Data registration means" refers to a function that sends information entered by a user to a server and stores it in a database.

[0099] "Work management means" refers to a function that analyzes identification information, generates necessary procedures, and determines their priority.

[0100] "Voice interface" refers to the speech recognition and speech generation functions used by users to interact with robots.

[0101] A "visual display device" refers to a display or screen used to visually present information to a user.

[0102] "Dialogue means" refers to functions that enable interactive communication with the user using voice interfaces and visual display devices.

[0103] "Progress management tools" refer to features that track how much of a procedure a user has completed and generate reminders.

[0104] The system for implementing this invention provides the necessary support for users to smoothly carry out end-of-life arrangements for the deceased. The user uses a smart device to input basic information about the deceased and their own relationship information, and the device transmits this information to a server. The server uses a data registration means to store this information in a database and create identification information.

[0105] The server uses work management tools to analyze identification information, lists the necessary procedures, and determines their priority based on legal priorities and cultural factors. The listed procedures are guided to the user through a terminal equipped with a voice interface and visual display device.

[0106] The terminal uses a voice interface to engage in natural language dialogue and tracks the user's work completion status through a progress management system. This allows the server to generate reminders for incomplete tasks and notify the user accordingly. As a concrete example of its use, if a user asks a question about a procedure, they can receive a real-time answer through the voice interface.

[0107] By using generative AI models, the system provides appropriate answers to user queries. Furthermore, technologies such as Google® Speech-to-Text and OpenAI® GPT can be used for the voice interface and visual display.

[0108] Examples of prompt messages include: "Please enter the deceased's name and basic information. Next, please guide us through the necessary end-of-life planning procedures. We will also guide you on how to schedule the funeral."

[0109] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0110] Step 1:

[0111] The user uses the smart device interface to input basic information about the deceased and their own relationship to the deceased. This includes name, date of birth, date of death, and relationship. The entered information is temporarily stored on the device and then prepared to be sent to the server.

[0112] Step 2:

[0113] The server uses a data registration mechanism to receive information entered by the user and stores it in the database. After receiving the data, it performs the necessary data transformations to create identification information and generates a user profile. This provides a foundation for subsequent procedures to proceed smoothly.

[0114] Step 3:

[0115] The server automatically generates the necessary procedures using work management tools based on the created user profile. Specifically, it creates a task list for each procedure, taking into account legal priorities and cultural factors, and determines their priority. This list is stored in a database and prepared for transmission to the terminal.

[0116] Step 4:

[0117] The terminal receives a task list sent from the server and provides guidance to the user through a voice interface and visual display. The user can review the displayed information and begin working. Specific procedural details are displayed, prompting the user to take the necessary actions.

[0118] Step 5:

[0119] The terminal tracks the user's progress in real time and sends the progress status to the server using a progress management system. The server receives this information, marks completed tasks, and generates reminders for incomplete tasks. The generated reminders are then sent back to the terminal to notify the user.

[0120] Step 6:

[0121] If a user has questions about a procedure, they can submit an inquiry through their device. The server receives this query and uses a generative AI model to generate an appropriate answer. The answer is then sent back to the device in a format that is easy for the user to understand, using natural language processing.

[0122] Step 7:

[0123] The terminal provides the generated response to the user through a voice interface and visual display. This allows the user to quickly obtain the information necessary for the next step, enabling a smooth process.

[0124] 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.

[0125] This invention is a system that provides support for necessary procedures while reducing the psychological burden that users face when dealing with end-of-life arrangements for a deceased person. Embodiments of the present invention are described below.

[0126] The system of this invention employs an information registration means that creates a profile based on user input information. The user inputs basic information about the deceased and their own contact information via a terminal, and this data is stored on a server to generate a profile. This basic data prepares the system to provide support optimized for the user's situation.

[0127] The task management system analyzes profile information and displays necessary procedures as a task list. Prioritization is adjusted using an emotion engine that considers not only legal requirements and deadlines, but also the user's psychological burden. This ensures that procedures can be carried out in an emotionally calm state.

[0128] The information provision mechanism is responsible for clearly displaying the generated task list on the device. When selecting a task, users can obtain information on specific procedures, required documents, and destinations. The emotion engine considers the user's current emotional state and can add further explanations and considerate guidance as needed.

[0129] The progress management system updates the server with completed tasks and generates reminders for incomplete tasks. The reminder content and notification frequency are adjusted based on feedback from an emotional engine, ensuring that the system is not overburdening.

[0130] As a concrete example, consider a scenario where a user is going through "inheritance procedures." After the user completes the initial legally required procedures, the system can adjust the reminder for the next procedure if the emotional engine detects signs of psychological fatigue. In this way, necessary procedures are carried out reliably while minimizing the user's mental burden.

[0131] This invention, by incorporating an emotion engine, goes beyond conventional mechanical task management and functions as a system that understands and flexibly responds to the user's emotions. As a result, the user can perform a series of procedures with peace of mind.

[0132] The following describes the processing flow.

[0133] Step 1:

[0134] The user uses a terminal to enter the deceased's basic information and their own contact information. The terminal sends this information to the server, which then generates a profile using an information registration mechanism.

[0135] Step 2:

[0136] The server analyzes profiles generated using task management tools. It lists the necessary procedures and uses an emotion engine to determine priorities, taking into account legal requirements, deadlines, and the user's psychological burden.

[0137] Step 3:

[0138] The server sends the extracted task list and priority information to the terminal. The terminal displays a guide to specific tasks and procedures to the user through an information delivery system.

[0139] Step 4:

[0140] The user selects a priority task from the task list displayed on the terminal and prepares to begin. The terminal provides the user with the necessary documents and information about the destination to proceed with the process.

[0141] Step 5:

[0142] When a user completes a task, the task status is updated on the device. The device sends the update information to the server, which then records the progress using a progress management system.

[0143] Step 6:

[0144] The server uses an emotion engine to assess the user's emotions. If it determines that the user is psychologically fatigued, it adjusts the content or frequency of the next reminder.

[0145] Step 7:

[0146] The server generates reminders for incomplete tasks at appropriate times. The device notifies the user of reminders that take into account the user's emotional state and adjusts the timing as needed to reduce the user's mental burden.

[0147] Step 8:

[0148] When a user has a question or need advice via the system, they send an inquiry from their terminal to the server. The server uses a consultation response method to generate an appropriate answer, taking into account the results of the emotion engine's analysis, and sends it back to the user via the terminal.

[0149] Through this series of processes, the system provides comprehensive support to the user, including emotional support.

[0150] (Example 2)

[0151] 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".

[0152] In modern society, end-of-life planning involves numerous legal requirements and complex procedures, creating a significant psychological burden for users. Furthermore, the prioritization of procedures is often based solely on legal considerations, without taking into account the emotional state of individual users, making it difficult for them to proceed efficiently and with peace of mind.

[0153] 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.

[0154] In this invention, the server includes an information registration function that receives user input information and creates user information, a process management function that generates necessary work procedures and determines their priority, an activity progress management function that manages the progress of completed and incomplete tasks and generates notifications, and an emotion adjustment function that analyzes the user's psychological state using emotion analysis technology and adjusts the progress of tasks. As a result, the user can reduce their psychological burden and proceed with work procedures with peace of mind.

[0155] The "information registration function" is a function that receives user input information and creates user information based on that information.

[0156] The "process management function" is a function that generates necessary business procedures based on the user information mentioned above and determines priorities based on legal requirements, deadlines, and psychological state.

[0157] The "information provision function" is a function that notifies users of the generated tasks and provides detailed instructions for the work procedures.

[0158] The "Activity Progress Management Function" is a function that manages the progress of completed and incomplete tasks and generates notifications.

[0159] The "emotion regulation function" is a feature that uses emotion analysis technology to analyze the user's psychological state and adjust the progress of tasks accordingly.

[0160] The system for implementing this invention is realized by having the user input information necessary for the deceased's end-of-life planning procedures using a terminal, and this information being processed on a server. The server is equipped with a high-performance database management system and a dedicated module for sentiment analysis. Specifically, the server receives input to create user information and stores it in a database. Open-source relational database management software is used as the database management system. Based on this profile information, the server determines the priority of business procedures and generates a list of necessary tasks. Sentiment adjustment is performed based on a specific sentiment analysis algorithm, and the timing of notifications and the content of reminders are adjusted to reduce the user's psychological burden.

[0161] The terminal displays the generated task list clearly to the user and provides specific information and guidance according to the instructions. The user reports task completion to the server via the terminal. Based on this report, the server manages activity progress and adjusts reminders as needed.

[0162] As a concrete example, consider a scenario where a user uses this system to proceed with "inheritance procedures." The user inputs the deceased's information on a terminal, and the server presents the legal procedures in the optimal order. If the user shows signs of psychological fatigue during the process, the system automatically takes measures such as delaying notifications and encouraging breaks based on emotion analysis. This allows the user to proceed with the necessary procedures with peace of mind.

[0163] An example of a prompt statement is, "Please tell me how to use the emotion engine to reduce the psychological burden of the upcoming procedure." This statement is used as input when using each function of the system.

[0164] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0165] Step 1:

[0166] The user uses a device to enter the deceased's basic information and their own contact details. The device then sends this data to the server. This data includes name, date of birth, address, etc., and forms the basis of the user profile.

[0167] Step 2:

[0168] The server stores the received input data in a database management system and generates a user profile. Here, the server verifies the accuracy of the data and processes it to create the profile. As output, the profile, containing the user's basic information, is stored in the database.

[0169] Step 3:

[0170] The server uses a generated AI model based on profile information to extract necessary business procedures and create a task list. The server uses legal requirements and sentiment analysis algorithms to determine priorities. The output is a prioritized task list.

[0171] Step 4:

[0172] The terminal receives a task list from the server and displays it to the user. The user views the task list on the terminal to check detailed information and guides. Tasks include necessary documents and visit information, allowing the user to understand what to do next.

[0173] Step 5:

[0174] Each time a user completes a task, they report the completion information to the server via their terminal. This input includes pressing a task completion button. The server updates the database with completed tasks and manages the progress.

[0175] Step 6:

[0176] The server uses a sentiment analysis algorithm to create reminders for incomplete tasks. The server adjusts the content and timing of the reminders, taking into account the user's psychological state. An optimized reminder is generated as output.

[0177] Step 7:

[0178] The device displays reminders sent from the server and notifies the user. By receiving the notification, the user can check the next task to be done and proceed with the process at a comfortable pace.

[0179] (Application Example 2)

[0180] 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".

[0181] For users handling end-of-life arrangements for the deceased, reducing psychological burden is a crucial issue. Such procedures are emotionally difficult and cannot be adequately addressed with typical mechanical task management. Furthermore, there is a need for support that reduces the psychological stress associated with daily procedures and care for those receiving care and their families, enabling them to continue these tasks with peace of mind.

[0182] 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.

[0183] In this invention, the server includes an information registration means for receiving user input information and creating a profile; an emotion control means for generating necessary procedures and determining priorities based on the profile while considering emotional burden; and a progress management means for managing the progress of procedures and generating adjusted reminders to reduce emotional burden. This makes it possible to efficiently and appropriately carry out necessary procedures while reducing the psychological burden on the user.

[0184] A "profile" is a dataset that represents the status and attributes of an individual user, generated based on input information received from the user.

[0185] "Emotional control measures" are means of analyzing the user's psychological state, determining the priority of procedures to reduce emotional burden, and adaptively adjusting them.

[0186] A "progress management tool" is a means of tracking the progress of a user's procedures, identifying completed and incomplete tasks, and generating reminders.

[0187] An "information registration method" is a means of receiving user input information and creating a profile.

[0188] "Information provision methods" refer to means of providing users with procedural guides and details, and helping them efficiently complete the tasks they need to do.

[0189] A "consultation support system" is a means of generating interactive responses in response to user inquiries and assisting users in resolving their problems.

[0190] The system that implements this application example is built using a server, a user terminal, and an emotion engine. The server has a backend system implemented in Python or JavaScript (registered trademark), and SQL or NoSQL (e.g., Firebase) can be used as the database.

[0191] The server has a means of registering information to collect user input and generate profiles. User terminals include smartphones and tablets, from which information can be entered. The server stores this information in a database and generates a profile for each user.

[0192] Based on the generated profile, the server uses emotion control mechanisms to generate and prioritize necessary procedures. In this process, an emotion engine (e.g., Google Cloud AI, IBM Watson®) is used to analyze the user's emotional state and adjust priorities to reduce psychological burden.

[0193] The user terminal receives procedural guides and reminder information sent from the server and displays it to the user as a means of providing information. This makes it easier for users to efficiently manage care-related tasks.

[0194] As a concrete example, consider a scenario where a user is handling care procedures for an elderly person. If the emotion engine analyzes that the elderly person is experiencing stress, the server can choose to delay the next medical facility visit. This allows the caregiver to continue providing care on a schedule that takes the elderly person's psychological burden into consideration.

[0195] An example of a prompt message is: "Assess the user's current stress level and adjust the priority of the next care tasks."

[0196] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0197] Step 1:

[0198] The server receives input information sent from the user's terminal. This input includes the user's personal data and information about deceased individuals. The server stores this data in a database and creates a user profile. Data is added to the database using SQL queries.

[0199] Step 2:

[0200] The server generates procedures using emotion control mechanisms based on the generated profile. It takes profile information as input and creates a task list as output. The server utilizes an AI model to analyze the information within the profile and evaluate priorities. This allows the emotion engine to determine the user's emotional state and adjust priorities according to their psychological burden.

[0201] Step 3:

[0202] The server sends a task list containing specific procedural information to the user terminal based on the determined priorities. Using the prioritized task list as input, it organizes the data sent to the terminal. The user receives a detailed guide, including prompts, as output.

[0203] Step 4:

[0204] The user reviews the task list received on their device and initiates the process as needed. Based on the user's input, the device sends the task completion status to the server. This enables progress management, and the server updates the task progress.

[0205] Step 5:

[0206] The server generates timely reminders for remaining incomplete tasks based on progress information. An emotion engine monitors psychological stress and adjusts the timing of reminders accordingly. The generated reminders, along with prompt messages, are sent to the terminal.

[0207] 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.

[0208] 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.

[0209] 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.

[0210] [Second Embodiment]

[0211] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0212] 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.

[0213] 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).

[0214] 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.

[0215] 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.

[0216] 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).

[0217] 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.

[0218] 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.

[0219] 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.

[0220] 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.

[0221] 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.

[0222] 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".

[0223] This invention is a system that provides support to help users smoothly carry out end-of-life arrangements for the deceased. An embodiment thereof is described below.

[0224] First, the user uses a terminal to enter basic information about the deceased (name, date of birth, date of death, etc.) as well as their relationship to the deceased and contact information. The terminal sends this information to the server, which stores it in a database using an information registration method. This creates a user profile.

[0225] Next, the server uses task management tools to analyze the user profile and list the necessary procedures. The list includes specific tasks (e.g., filing a death certificate, funeral arrangements, preparing inheritance documents), and their priority is determined based on legal deadlines and local customs.

[0226] The server sends the generated task list to the terminal, which visually presents it to the user through an information delivery system. Here, the user can view a detailed guide on the terminal screen regarding the task that should be prioritized first. This includes necessary documents, location of procedures, and reception hours.

[0227] As the user works on a task, the device records the progress, and the server updates the status using progress management tools as needed. The server selects the next task from a list of incomplete tasks and generates a reminder based on the deadline. The device notifies the user of this and prompts them to complete the task in a timely manner.

[0228] Furthermore, if a user has any questions or concerns, they can send an inquiry to the server from their device. The server generates an answer to the question using a consultation system and sends it back to the user via the device. At this time, it retrieves appropriate answers from past data and FAQs and provides information in a way that is easy for the user to understand.

[0229] As a concrete example, consider a scenario where a user is going through the process of scheduling a funeral. Using this system, the user can quickly obtain the necessary information and set the location and date of the procedure without any confusion. They will also receive appropriate guidance on what documents are needed and where to obtain them, preventing procedural omissions and reducing the burden on the bereaved family.

[0230] In this way, the system supports users by integrating and managing various elements in the procedure, thereby improving efficiency and simplicity.

[0231] The following describes the processing flow.

[0232] Step 1:

[0233] The user uses the device to enter the deceased's basic information and their own contact information. The device then compiles the entered information and sends it to the server.

[0234] Step 2:

[0235] The server stores the received information in a database using an information registration mechanism and creates a user profile. This profile stores all the basic information necessary for the procedure.

[0236] Step 3:

[0237] The server analyzes the user profile and generates a task list of necessary procedures. Using task management tools, it determines the priority of each procedure based on legal requirements and deadlines.

[0238] Step 4:

[0239] The server sends the generated task list to the terminal. The terminal uses an information delivery device to display the tasks and their detailed guides to the user.

[0240] Step 5:

[0241] The user reviews the task list displayed on the device and begins the process for their priority task. After completing the process, they update the status on the device.

[0242] Step 6:

[0243] The terminal sends the user's updated progress to the server. The server updates the database using a progress management system and records completed tasks.

[0244] Step 7:

[0245] The server generates reminders based on the deadlines for incomplete tasks. The terminal notifies the user of these reminders to encourage them to proceed with the process without delay.

[0246] Step 8:

[0247] When a user has questions or concerns, they send an inquiry to the server through their device. The server generates an appropriate answer to the question using a consultation system and sends it back to the user through their device.

[0248] In this way, the system executes each step in a sequential manner, comprehensively supporting the user's procedures.

[0249] (Example 1)

[0250] 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."

[0251] When handling end-of-life arrangements for a deceased person, there is a need to eliminate the complexity and ambiguity of the procedures that users face, and to facilitate the quick and reliable completion of necessary procedures. In particular, prioritizing according to legal deadlines and regional requirements, timely provision of necessary information, and accurate management of progress are key challenges.

[0252] 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.

[0253] In this invention, the server includes an information registration means for receiving user input information and creating a profile, a task management means for generating necessary procedures using a generation AI model and determining their priority, and a progress management means for managing the progress of completed and incomplete tasks and generating reminders based on deadlines. This enables users to efficiently complete complex procedures, meet important deadlines, and obtain accurate and necessary information in a timely manner.

[0254] "Information registration means" refers to technology that receives information entered by a user and generates a user profile based on that information.

[0255] A "generative AI model" is an artificial intelligence technology used to analyze user profiles and determine necessary procedures and their priorities.

[0256] A "task management method" is a technique for determining priorities from a generated list of procedures, taking into account legal priorities and local customs.

[0257] "Information provision means" refers to technologies that provide users with timely guidance on necessary procedures and detailed information.

[0258] A "progress management tool" is a technology that manages completed and incomplete tasks and generates deadline-based reminders.

[0259] A "consultation response method" is a technology that, in response to user inquiries, refers to past data and FAQs and provides interactive answers.

[0260] The system in this invention provides a process for users to efficiently carry out end-of-life arrangements for a deceased person. Specifically, it includes an information registration means, a task management means using a generation AI model, an information provision means, a progress management means, and a consultation and support means.

[0261] First, the user enters basic information about the deceased and their own contact information via a terminal. This terminal can be a digital device such as a smartphone or personal computer. The entered information is sent from the terminal to the server. The server receives the data using a secure communication protocol (e.g., HTTPS).

[0262] The server uses an information registration system to store the received information in a database management system (e.g., MySQL or PostgreSQL) and generates a user profile. The profile is then analyzed by a generating AI model to list the necessary administrative procedures and tasks. These listed tasks are then prioritized by the server, taking into account legal priorities and local customs.

[0263] The server sends a task list to the terminal, which then visually presents it to the user. Detailed guides for each task, required documents, locations, and operating hours are also provided. Progress tracking measures manage completed and incomplete tasks, and reminders are generated based on deadlines.

[0264] Furthermore, if a user has a question, they can send it from their device to the server. The server uses a consultation system, referring to past data and FAQs, to generate an appropriate answer and send it back through the device.

[0265] For example, when a user is in the process of deciding on the date of a funeral, this system allows them to obtain the necessary information in a timely manner and quickly select the location and date of the procedure. Furthermore, by asking the system, "How should I decide on the date of the deceased's funeral?", the user will be guided through detailed procedures and points to note.

[0266] This allows the system to efficiently manage a series of procedures and provide comprehensive support to users.

[0267] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0268] Step 1:

[0269] The user uses a terminal to enter basic information about the deceased (name, date of birth, date of death, etc.) and their own contact information. The entered information is converted into a digital format by the terminal and sent to the server. At this time, the terminal uses a secure communication protocol such as HTTPS to ensure the security of the information.

[0270] Step 2:

[0271] The server processes the received information using a database management system and generates a user profile. It stores the data in the database while checking its integrity using an information registration method. At this stage, a unique profile ID is generated based on the user's input information.

[0272] Step 3:

[0273] The server analyzes the user profile using a generative AI model. It lists the necessary administrative procedures and tasks, prioritizing them based on legal deadlines and local customs. This information, output as a task list, is generated by combining a pre-configured rule base with inference from the AI ​​model.

[0274] Step 4:

[0275] The server sends the generated task list to the terminal. The terminal receives it and displays it visually through the user interface. The user can view the task list and check detailed guides (required documents, location of procedures, reception hours, etc.).

[0276] Step 5:

[0277] As a user works on a task, the device records its progress and sends the completion status to the server. The progress management system allows the server to update the database with the latest progress. This enables the server to re-evaluate incomplete tasks, select the next task, and generate reminders.

[0278] Step 6:

[0279] If the user has any questions, they send an inquiry to the server through the terminal. The server uses consultation response means to generate a response to the user while referring to past data and FAQs. The terminal receives the response from the server and displays it to the user. This enables the user to reduce confusion and stress during the procedure.

[0280] (Application Example 1)

[0281] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0282] In the final arrangements for the deceased, there are a wide variety of procedures and a large amount of information is required, which poses a problem of imposing a great burden on the bereaved family. Also, in order to proceed with these procedures efficiently and reliably, guidance based on appropriate priorities is essential. However, in conventional systems, progress management of procedures and support through direct interaction have not been sufficiently carried out, resulting in omissions in procedures and an increase in labor.

[0283] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0284] In this invention, the server includes data registration means for receiving the user's input information and creating identification information, work management means for generating necessary procedures based on the identification information and determining their priorities, and dialogue means for providing interactive guidance via a voice interface and a visual display device. This enables efficient management of the procedures required by the user and real-time support for the progress of the procedures by providing voice and visual guidance.

[0285] The "user" refers to an individual or organization that uses the system to proceed with the final arrangements for the deceased.

[0286] "Input information" refers to data such as the basic information of the deceased, the relationship with the user, and contact information.

[0287] "Identification information" refers to an individual profile created based on the data input by the user.

[0288] "Data registration means" refers to the function of transmitting the information input by the user to the server and storing it in the database.

[0289] "Work management means" refers to the function of analyzing identification information, generating necessary procedures, and determining their priorities.

[0290] "Voice interface" refers to the functions of voice recognition and voice generation used by the user to interact with the robot.

[0291] "Visual display device" refers to a display or screen for visually presenting information to the user.

[0292] "Interaction means" refers to the function of interacting with the user through the voice interface and visual display device.

[0293] "Progress management means" refers to the function of tracking how much of the procedure the user has completed and generating reminders.

[0294] The system for implementing this invention provides the support necessary for the user to smoothly proceed with the post-mortem procedures of the deceased. The user uses a smart device to input the basic information of the deceased and their own relationship information, and the device transmits this to the server. The server uses the data registration means to store this information in the database and create identification information.

[0295] The server uses work management tools to analyze identification information, lists the necessary procedures, and determines their priority based on legal priorities and cultural factors. The listed procedures are guided to the user through a terminal equipped with a voice interface and visual display device.

[0296] The terminal uses a voice interface to engage in natural language dialogue and tracks the user's work completion status through a progress management system. This allows the server to generate reminders for incomplete tasks and notify the user accordingly. As a concrete example of its use, if a user asks a question about a procedure, they can receive a real-time answer through the voice interface.

[0297] By using generative AI models, the system provides appropriate answers to user queries. Furthermore, technologies such as Google Speech-to-Text and OpenAI GPT can be used for voice interfaces and visual displays.

[0298] Examples of prompt messages include: "Please enter the deceased's name and basic information. Next, please guide us through the necessary end-of-life planning procedures. We will also guide you on how to schedule the funeral."

[0299] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0300] Step 1:

[0301] The user uses the smart device interface to input basic information about the deceased and their own relationship to the deceased. This includes name, date of birth, date of death, and relationship. The entered information is temporarily stored on the device and then prepared to be sent to the server.

[0302] Step 2:

[0303] The server uses data registration means to receive the information input by the user and save it in the database. After receiving the data, it performs data conversion necessary to create identification information and generates a user profile. This provides a basis for subsequent procedures to proceed smoothly.

[0304] Step 3:

[0305] Based on the created user profile, the server uses work management means to automatically generate the necessary procedures. Specifically, considering legal priorities and cultural factors, it creates a task list for each procedure and determines its priority. This list is saved in the database and prepared to be sent to the terminal.

[0306] Step 4:

[0307] The terminal receives the task list sent from the server and provides guidance to the user through the voice interface and visual display device. The user can check the displayed information and start working. The details of the specific procedure are displayed, prompting the user to take the necessary actions.

[0308] Step 5:

[0309] The terminal tracks the progress of the user's procedure in real time and uses progress management means to send the progress status to the server. The server receives this, marks the completed tasks, and generates a reminder for the uncompleted tasks. The generated reminder is sent to the terminal again and notified to the user.

[0310] Step 6:

[0311] If the user has questions regarding the procedure, they make an inquiry through the terminal. The server receives this query and uses the generated AI model to generate an appropriate answer. The answer is sent to the terminal in a form that is easy for the user to understand using natural language processing.

[0312] Step 7:

[0313] The terminal provides the generated response to the user through a voice interface and visual display. This allows the user to quickly obtain the information necessary for the next step, enabling a smooth process.

[0314] 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.

[0315] This invention is a system that provides support for necessary procedures while reducing the psychological burden that users face when dealing with end-of-life arrangements for a deceased person. Embodiments of the present invention are described below.

[0316] The system of this invention employs an information registration means that creates a profile based on user input information. The user inputs basic information about the deceased and their own contact information via a terminal, and this data is stored on a server to generate a profile. This basic data prepares the system to provide support optimized for the user's situation.

[0317] The task management system analyzes profile information and displays necessary procedures as a task list. Prioritization is adjusted using an emotion engine that considers not only legal requirements and deadlines, but also the user's psychological burden. This ensures that procedures can be carried out in an emotionally calm state.

[0318] The information provision mechanism is responsible for clearly displaying the generated task list on the device. When selecting a task, users can obtain information on specific procedures, required documents, and destinations. The emotion engine considers the user's current emotional state and can add further explanations and considerate guidance as needed.

[0319] The progress management system updates the server with completed tasks and generates reminders for incomplete tasks. The reminder content and notification frequency are adjusted based on feedback from an emotional engine, ensuring that the system is not overburdening.

[0320] As a concrete example, consider a scenario where a user is going through "inheritance procedures." After the user completes the initial legally required procedures, the system can adjust the reminder for the next procedure if the emotional engine detects signs of psychological fatigue. In this way, necessary procedures are carried out reliably while minimizing the user's mental burden.

[0321] This invention, by incorporating an emotion engine, goes beyond conventional mechanical task management and functions as a system that understands and flexibly responds to the user's emotions. As a result, the user can perform a series of procedures with peace of mind.

[0322] The following describes the processing flow.

[0323] Step 1:

[0324] The user uses a terminal to enter the deceased's basic information and their own contact information. The terminal sends this information to the server, which then generates a profile using an information registration mechanism.

[0325] Step 2:

[0326] The server analyzes profiles generated using task management tools. It lists the necessary procedures and uses an emotion engine to determine priorities, taking into account legal requirements, deadlines, and the user's psychological burden.

[0327] Step 3:

[0328] The server sends the extracted task list and priority information to the terminal. The terminal displays a guide to specific tasks and procedures to the user through an information delivery system.

[0329] Step 4:

[0330] The user selects a priority task from the task list displayed on the terminal and prepares to begin. The terminal provides the user with the necessary documents and information about the destination to proceed with the process.

[0331] Step 5:

[0332] When a user completes a task, the task status is updated on the device. The device sends the update information to the server, which then records the progress using a progress management system.

[0333] Step 6:

[0334] The server uses an emotion engine to assess the user's emotions. If it determines that the user is psychologically fatigued, it adjusts the content or frequency of the next reminder.

[0335] Step 7:

[0336] The server generates reminders for incomplete tasks at appropriate times. The device notifies the user of reminders that take into account the user's emotional state and adjusts the timing as needed to reduce the user's mental burden.

[0337] Step 8:

[0338] When a user has a question or need advice via the system, they send an inquiry from their terminal to the server. The server uses a consultation response method to generate an appropriate answer, taking into account the results of the emotion engine's analysis, and sends it back to the user via the terminal.

[0339] Through this series of processes, the system provides comprehensive support to the user, including emotional support.

[0340] (Example 2)

[0341] 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".

[0342] In modern society, end-of-life planning involves numerous legal requirements and complex procedures, creating a significant psychological burden for users. Furthermore, the prioritization of procedures is often based solely on legal considerations, without taking into account the emotional state of individual users, making it difficult for them to proceed efficiently and with peace of mind.

[0343] 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.

[0344] In this invention, the server includes an information registration function that receives user input information and creates user information, a process management function that generates necessary work procedures and determines their priority, an activity progress management function that manages the progress of completed and incomplete tasks and generates notifications, and an emotion adjustment function that analyzes the user's psychological state using emotion analysis technology and adjusts the progress of tasks. As a result, the user can reduce their psychological burden and proceed with work procedures with peace of mind.

[0345] The "information registration function" is a function that receives user input information and creates user information based on that information.

[0346] The "process management function" is a function that generates necessary business procedures based on the user information mentioned above and determines priorities based on legal requirements, deadlines, and psychological state.

[0347] The "information provision function" is a function that notifies users of the generated tasks and provides detailed instructions for the work procedures.

[0348] The "Activity Progress Management Function" is a function that manages the progress of completed and incomplete tasks and generates notifications.

[0349] The "emotion regulation function" is a feature that uses emotion analysis technology to analyze the user's psychological state and adjust the progress of tasks accordingly.

[0350] The system for implementing this invention is realized by having the user input information necessary for the deceased's end-of-life planning procedures using a terminal, and this information being processed on a server. The server is equipped with a high-performance database management system and a dedicated module for sentiment analysis. Specifically, the server receives input to create user information and stores it in a database. Open-source relational database management software is used as the database management system. Based on this profile information, the server determines the priority of business procedures and generates a list of necessary tasks. Sentiment adjustment is performed based on a specific sentiment analysis algorithm, and the timing of notifications and the content of reminders are adjusted to reduce the user's psychological burden.

[0351] The terminal displays the generated task list clearly to the user and provides specific information and guidance according to the instructions. The user reports task completion to the server via the terminal. Based on this report, the server manages activity progress and adjusts reminders as needed.

[0352] As a concrete example, consider a scenario where a user uses this system to proceed with "inheritance procedures." The user inputs the deceased's information on a terminal, and the server presents the legal procedures in the optimal order. If the user shows signs of psychological fatigue during the process, the system automatically takes measures such as delaying notifications and encouraging breaks based on emotion analysis. This allows the user to proceed with the necessary procedures with peace of mind.

[0353] An example of a prompt statement is, "Please tell me how to use the emotion engine to reduce the psychological burden of the upcoming procedure." This statement is used as input when using each function of the system.

[0354] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0355] Step 1:

[0356] The user uses a device to enter the deceased's basic information and their own contact details. The device then sends this data to the server. This data includes name, date of birth, address, etc., and forms the basis of the user profile.

[0357] Step 2:

[0358] The server stores the received input data in a database management system and generates a user profile. Here, the server verifies the accuracy of the data and processes it to create the profile. As output, the profile, containing the user's basic information, is stored in the database.

[0359] Step 3:

[0360] The server uses a generated AI model based on profile information to extract necessary business procedures and create a task list. The server uses legal requirements and sentiment analysis algorithms to determine priorities. The output is a prioritized task list.

[0361] Step 4:

[0362] The terminal receives a task list from the server and displays it to the user. The user views the task list on the terminal to check detailed information and guides. Tasks include necessary documents and visit information, allowing the user to understand what to do next.

[0363] Step 5:

[0364] Each time a user completes a task, they report the completion information to the server via their terminal. This input includes pressing a task completion button. The server updates the database with completed tasks and manages the progress.

[0365] Step 6:

[0366] The server uses a sentiment analysis algorithm to create reminders for incomplete tasks. The server adjusts the content and timing of the reminders, taking into account the user's psychological state. An optimized reminder is generated as output.

[0367] Step 7:

[0368] The device displays reminders sent from the server and notifies the user. By receiving the notification, the user can check the next task to be done and proceed with the process at a comfortable pace.

[0369] (Application Example 2)

[0370] 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."

[0371] For users handling end-of-life arrangements for the deceased, reducing psychological burden is a crucial issue. Such procedures are emotionally difficult and cannot be adequately addressed with typical mechanical task management. Furthermore, there is a need for support that reduces the psychological stress associated with daily procedures and care for those receiving care and their families, enabling them to continue these tasks with peace of mind.

[0372] 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.

[0373] In this invention, the server includes an information registration means for receiving user input information and creating a profile; an emotion control means for generating necessary procedures and determining priorities based on the profile while considering emotional burden; and a progress management means for managing the progress of procedures and generating adjusted reminders to reduce emotional burden. This makes it possible to efficiently and appropriately carry out necessary procedures while reducing the psychological burden on the user.

[0374] A "profile" is a dataset that represents the status and attributes of an individual user, generated based on input information received from the user.

[0375] "Emotional control measures" are means of analyzing the user's psychological state, determining the priority of procedures to reduce emotional burden, and adaptively adjusting them.

[0376] A "progress management tool" is a means of tracking the progress of a user's procedures, identifying completed and incomplete tasks, and generating reminders.

[0377] An "information registration method" is a means of receiving user input information and creating a profile.

[0378] "Information provision methods" refer to means of providing users with procedural guides and details, and helping them efficiently complete the tasks they need to do.

[0379] A "consultation support system" is a means of generating interactive responses in response to user inquiries and assisting users in resolving their problems.

[0380] The system that implements this application is built using a server, user terminals, and an emotion engine. The server has a backend system implemented in Python or JavaScript, and SQL or NoSQL (e.g., Firebase) can be used as the database.

[0381] The server has a means of registering information to collect user input and generate profiles. User terminals include smartphones and tablets, from which information can be entered. The server stores this information in a database and generates a profile for each user.

[0382] Based on the generated profile, the server uses emotion control mechanisms to generate and prioritize necessary procedures. In this process, an emotion engine (e.g., Google Cloud AI, IBM Watson) is used to analyze the user's emotional state and adjust priorities to reduce psychological burden.

[0383] The user terminal receives procedural guides and reminder information sent from the server and displays it to the user as a means of providing information. This makes it easier for users to efficiently manage care-related tasks.

[0384] As a concrete example, consider a scenario where a user is handling care procedures for an elderly person. If the emotion engine analyzes that the elderly person is experiencing stress, the server can choose to delay the next medical facility visit. This allows the caregiver to continue providing care on a schedule that takes the elderly person's psychological burden into consideration.

[0385] An example of a prompt message is: "Assess the user's current stress level and adjust the priority of the next care tasks."

[0386] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0387] Step 1:

[0388] The server receives input information sent from the user's terminal. This input includes the user's personal data and information about deceased individuals. The server stores this data in a database and creates a user profile. Data is added to the database using SQL queries.

[0389] Step 2:

[0390] The server generates procedures using emotion control mechanisms based on the generated profile. It takes profile information as input and creates a task list as output. The server utilizes an AI model to analyze the information within the profile and evaluate priorities. This allows the emotion engine to determine the user's emotional state and adjust priorities according to their psychological burden.

[0391] Step 3:

[0392] The server sends a task list containing specific procedural information to the user terminal based on the determined priorities. Using the prioritized task list as input, it organizes the data sent to the terminal. The user receives a detailed guide, including prompts, as output.

[0393] Step 4:

[0394] The user reviews the task list received on their device and initiates the process as needed. Based on the user's input, the device sends the task completion status to the server. This enables progress management, and the server updates the task progress.

[0395] Step 5:

[0396] The server generates timely reminders for remaining incomplete tasks based on progress information. An emotion engine monitors psychological stress and adjusts the timing of reminders accordingly. The generated reminders, along with prompt messages, are sent to the terminal.

[0397] 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.

[0398] 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.

[0399] 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.

[0400] [Third Embodiment]

[0401] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0402] 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.

[0403] 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).

[0404] 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.

[0405] 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.

[0406] 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).

[0407] 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.

[0408] 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.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] 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".

[0413] This invention is a system that provides support to help users smoothly carry out end-of-life arrangements for the deceased. An embodiment thereof is described below.

[0414] First, the user uses a terminal to enter basic information about the deceased (name, date of birth, date of death, etc.) as well as their relationship to the deceased and contact information. The terminal sends this information to the server, which stores it in a database using an information registration method. This creates a user profile.

[0415] Next, the server uses task management tools to analyze the user profile and list the necessary procedures. The list includes specific tasks (e.g., filing a death certificate, funeral arrangements, preparing inheritance documents), and their priority is determined based on legal deadlines and local customs.

[0416] The server sends the generated task list to the terminal, which visually presents it to the user through an information delivery system. Here, the user can view a detailed guide on the terminal screen regarding the task that should be prioritized first. This includes necessary documents, location of procedures, and reception hours.

[0417] As the user works on a task, the device records the progress, and the server updates the status using progress management tools as needed. The server selects the next task from a list of incomplete tasks and generates a reminder based on the deadline. The device notifies the user of this and prompts them to complete the task in a timely manner.

[0418] Furthermore, if a user has any questions or concerns, they can send an inquiry to the server from their device. The server generates an answer to the question using a consultation system and sends it back to the user via the device. At this time, it retrieves appropriate answers from past data and FAQs and provides information in a way that is easy for the user to understand.

[0419] As a concrete example, consider a scenario where a user is going through the process of scheduling a funeral. Using this system, the user can quickly obtain the necessary information and set the location and date of the procedure without any confusion. They will also receive appropriate guidance on what documents are needed and where to obtain them, preventing procedural omissions and reducing the burden on the bereaved family.

[0420] In this way, the system supports users by integrating and managing various elements in the procedure, thereby improving efficiency and simplicity.

[0421] The following describes the processing flow.

[0422] Step 1:

[0423] The user uses the device to enter the deceased's basic information and their own contact information. The device then compiles the entered information and sends it to the server.

[0424] Step 2:

[0425] The server stores the received information in a database using an information registration mechanism and creates a user profile. This profile stores all the basic information necessary for the procedure.

[0426] Step 3:

[0427] The server analyzes the user profile and generates a task list of necessary procedures. Using task management tools, it determines the priority of each procedure based on legal requirements and deadlines.

[0428] Step 4:

[0429] The server sends the generated task list to the terminal. The terminal uses an information delivery device to display the tasks and their detailed guides to the user.

[0430] Step 5:

[0431] The user reviews the task list displayed on the device and begins the process for their priority task. After completing the process, they update the status on the device.

[0432] Step 6:

[0433] The terminal sends the user's updated progress to the server. The server updates the database using a progress management system and records completed tasks.

[0434] Step 7:

[0435] The server generates reminders based on the deadlines for incomplete tasks. The terminal notifies the user of these reminders to encourage them to proceed with the process without delay.

[0436] Step 8:

[0437] When a user has questions or concerns, they send an inquiry to the server through their device. The server generates an appropriate answer to the question using a consultation system and sends it back to the user through their device.

[0438] In this way, the system executes each step in a sequential manner, comprehensively supporting the user's procedures.

[0439] (Example 1)

[0440] 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."

[0441] When handling end-of-life arrangements for a deceased person, there is a need to eliminate the complexity and ambiguity of the procedures that users face, and to facilitate the quick and reliable completion of necessary procedures. In particular, prioritizing according to legal deadlines and regional requirements, timely provision of necessary information, and accurate management of progress are key challenges.

[0442] 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.

[0443] In this invention, the server includes an information registration means for receiving user input information and creating a profile, a task management means for generating necessary procedures using a generation AI model and determining their priority, and a progress management means for managing the progress of completed and incomplete tasks and generating reminders based on deadlines. This enables users to efficiently complete complex procedures, meet important deadlines, and obtain accurate and necessary information in a timely manner.

[0444] "Information registration means" refers to technology that receives information entered by a user and generates a user profile based on that information.

[0445] A "generative AI model" is an artificial intelligence technology used to analyze user profiles and determine necessary procedures and their priorities.

[0446] A "task management method" is a technique for determining priorities from a generated list of procedures, taking into account legal priorities and local customs.

[0447] "Information provision means" refers to technologies that provide users with timely guidance on necessary procedures and detailed information.

[0448] A "progress management tool" is a technology that manages completed and incomplete tasks and generates deadline-based reminders.

[0449] A "consultation response method" is a technology that, in response to user inquiries, refers to past data and FAQs and provides interactive answers.

[0450] The system in this invention provides a process for users to efficiently carry out end-of-life arrangements for a deceased person. Specifically, it includes an information registration means, a task management means using a generation AI model, an information provision means, a progress management means, and a consultation and support means.

[0451] First, the user enters basic information about the deceased and their own contact information via a terminal. This terminal can be a digital device such as a smartphone or personal computer. The entered information is sent from the terminal to the server. The server receives the data using a secure communication protocol (e.g., HTTPS).

[0452] The server uses an information registration system to store the received information in a database management system (e.g., MySQL or PostgreSQL) and generates a user profile. The profile is then analyzed by a generating AI model to list the necessary administrative procedures and tasks. These listed tasks are then prioritized by the server, taking into account legal priorities and local customs.

[0453] The server sends a task list to the terminal, which then visually presents it to the user. Detailed guides for each task, required documents, locations, and operating hours are also provided. Progress tracking measures manage completed and incomplete tasks, and reminders are generated based on deadlines.

[0454] Furthermore, if a user has a question, they can send it from their device to the server. The server uses a consultation system, referring to past data and FAQs, to generate an appropriate answer and send it back through the device.

[0455] For example, when a user is in the process of deciding on the date of a funeral, this system allows them to obtain the necessary information in a timely manner and quickly select the location and date of the procedure. Furthermore, by asking the system, "How should I decide on the date of the deceased's funeral?", the user will be guided through detailed procedures and points to note.

[0456] This allows the system to efficiently manage a series of procedures and provide comprehensive support to users.

[0457] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0458] Step 1:

[0459] The user uses a terminal to enter basic information about the deceased (name, date of birth, date of death, etc.) and their own contact information. The entered information is converted into a digital format by the terminal and sent to the server. At this time, the terminal uses a secure communication protocol such as HTTPS to ensure the security of the information.

[0460] Step 2:

[0461] The server processes the received information using a database management system and generates a user profile. It stores the data in the database while checking its integrity using an information registration method. At this stage, a unique profile ID is generated based on the user's input information.

[0462] Step 3:

[0463] The server analyzes the user profile using a generative AI model. It lists the necessary administrative procedures and tasks, prioritizing them based on legal deadlines and local customs. This information, output as a task list, is generated by combining a pre-configured rule base with inference from the AI ​​model.

[0464] Step 4:

[0465] The server sends the generated task list to the terminal. The terminal receives it and displays it visually through the user interface. The user can view the task list and check detailed guides (required documents, location of procedures, reception hours, etc.).

[0466] Step 5:

[0467] As a user works on a task, the device records its progress and sends the completion status to the server. The progress management system allows the server to update the database with the latest progress. This enables the server to re-evaluate incomplete tasks, select the next task, and generate reminders.

[0468] Step 6:

[0469] When a user has a question, they send an inquiry to the server through their device. The server uses a consultation system to generate an answer for the user, referring to past data and FAQs. The device then displays the response from the server to the user. This reduces confusion and stress for the user during the process.

[0470] (Application Example 1)

[0471] 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."

[0472] End-of-life planning for the deceased involves numerous procedures and a large amount of information, which places a significant burden on the bereaved family. Furthermore, proper prioritization and guidance are essential to efficiently and reliably carry out these procedures. However, conventional systems lack sufficient progress management and direct, interactive support, resulting in procedural omissions and increased workload.

[0473] 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.

[0474] In this invention, the server includes data registration means for receiving user input information and creating identification information, work management means for generating necessary procedures and determining their priority based on the identification information, and dialogue means for providing interactive guidance via a voice interface and a visual display device. This makes it possible to efficiently manage the procedures required by the user and support the progress of the procedures in real time by providing voice and visual guidance.

[0475] A "user" refers to an individual or organization that uses the system to carry out end-of-life arrangements for a deceased person.

[0476] "Input information" refers to data such as the deceased person's basic information, their relationship with the user, and contact information.

[0477] "Identification information" refers to individual profiles created based on data entered by the user.

[0478] "Data registration means" refers to a function that sends information entered by a user to a server and stores it in a database.

[0479] "Work management means" refers to a function that analyzes identification information, generates necessary procedures, and determines their priority.

[0480] "Voice interface" refers to the speech recognition and speech generation functions used by users to interact with robots.

[0481] A "visual display device" refers to a display or screen used to visually present information to a user.

[0482] "Dialogue means" refers to functions that enable interactive communication with the user using voice interfaces and visual display devices.

[0483] "Progress management tools" refer to features that track how much of a procedure a user has completed and generate reminders.

[0484] The system for implementing this invention provides the necessary support for users to smoothly carry out end-of-life arrangements for the deceased. The user uses a smart device to input basic information about the deceased and their own relationship information, and the device transmits this information to a server. The server uses a data registration means to store this information in a database and create identification information.

[0485] The server uses work management tools to analyze identification information, lists the necessary procedures, and determines their priority based on legal priorities and cultural factors. The listed procedures are guided to the user through a terminal equipped with a voice interface and visual display device.

[0486] The terminal uses a voice interface to engage in natural language dialogue and tracks the user's work completion status through a progress management system. This allows the server to generate reminders for incomplete tasks and notify the user accordingly. As a concrete example of its use, if a user asks a question about a procedure, they can receive a real-time answer through the voice interface.

[0487] By using generative AI models, the system provides appropriate answers to user queries. Furthermore, technologies such as Google Speech-to-Text and OpenAI GPT can be used for voice interfaces and visual displays.

[0488] Examples of prompt messages include: "Please enter the deceased's name and basic information. Next, please guide us through the necessary end-of-life planning procedures. We will also guide you on how to schedule the funeral."

[0489] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0490] Step 1:

[0491] The user uses the smart device interface to input basic information about the deceased and their own relationship to the deceased. This includes name, date of birth, date of death, and relationship. The entered information is temporarily stored on the device and then prepared to be sent to the server.

[0492] Step 2:

[0493] The server uses a data registration mechanism to receive information entered by the user and stores it in the database. After receiving the data, it performs the necessary data transformations to create identification information and generates a user profile. This provides a foundation for subsequent procedures to proceed smoothly.

[0494] Step 3:

[0495] The server automatically generates the necessary procedures using work management tools based on the created user profile. Specifically, it creates a task list for each procedure, taking into account legal priorities and cultural factors, and determines their priority. This list is stored in a database and prepared for transmission to the terminal.

[0496] Step 4:

[0497] The terminal receives a task list sent from the server and provides guidance to the user through a voice interface and visual display. The user can review the displayed information and begin working. Specific procedural details are displayed, prompting the user to take the necessary actions.

[0498] Step 5:

[0499] The terminal tracks the user's progress in real time and sends the progress status to the server using a progress management system. The server receives this information, marks completed tasks, and generates reminders for incomplete tasks. The generated reminders are then sent back to the terminal to notify the user.

[0500] Step 6:

[0501] If a user has questions about a procedure, they can submit an inquiry through their device. The server receives this query and uses a generative AI model to generate an appropriate answer. The answer is then sent back to the device in a format that is easy for the user to understand, using natural language processing.

[0502] Step 7:

[0503] The terminal provides the generated response to the user through a voice interface and visual display. This allows the user to quickly obtain the information necessary for the next step, enabling a smooth process.

[0504] 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.

[0505] This invention is a system that provides support for necessary procedures while reducing the psychological burden that users face when dealing with end-of-life arrangements for a deceased person. Embodiments of the present invention are described below.

[0506] The system of this invention employs an information registration means that creates a profile based on user input information. The user inputs basic information about the deceased and their own contact information via a terminal, and this data is stored on a server to generate a profile. This basic data prepares the system to provide support optimized for the user's situation.

[0507] The task management system analyzes profile information and displays necessary procedures as a task list. Prioritization is adjusted using an emotion engine that considers not only legal requirements and deadlines, but also the user's psychological burden. This ensures that procedures can be carried out in an emotionally calm state.

[0508] The information provision mechanism is responsible for clearly displaying the generated task list on the device. When selecting a task, users can obtain information on specific procedures, required documents, and destinations. The emotion engine considers the user's current emotional state and can add further explanations and considerate guidance as needed.

[0509] The progress management system updates the server with completed tasks and generates reminders for incomplete tasks. The reminder content and notification frequency are adjusted based on feedback from an emotional engine, ensuring that the system is not overburdening.

[0510] As a concrete example, consider a scenario where a user is going through "inheritance procedures." After the user completes the initial legally required procedures, the system can adjust the reminder for the next procedure if the emotional engine detects signs of psychological fatigue. In this way, necessary procedures are carried out reliably while minimizing the user's mental burden.

[0511] This invention, by incorporating an emotion engine, goes beyond conventional mechanical task management and functions as a system that understands and flexibly responds to the user's emotions. As a result, the user can perform a series of procedures with peace of mind.

[0512] The following describes the processing flow.

[0513] Step 1:

[0514] The user uses a terminal to enter the deceased's basic information and their own contact information. The terminal sends this information to the server, which then generates a profile using an information registration mechanism.

[0515] Step 2:

[0516] The server analyzes profiles generated using task management tools. It lists the necessary procedures and uses an emotion engine to determine priorities, taking into account legal requirements, deadlines, and the user's psychological burden.

[0517] Step 3:

[0518] The server sends the extracted task list and priority information to the terminal. The terminal displays a guide to specific tasks and procedures to the user through an information delivery system.

[0519] Step 4:

[0520] The user selects a priority task from the task list displayed on the terminal and prepares to begin. The terminal provides the user with the necessary documents and information about the destination to proceed with the process.

[0521] Step 5:

[0522] When a user completes a task, the task status is updated on the device. The device sends the update information to the server, which then records the progress using a progress management system.

[0523] Step 6:

[0524] The server uses an emotion engine to assess the user's emotions. If it determines that the user is psychologically fatigued, it adjusts the content or frequency of the next reminder.

[0525] Step 7:

[0526] The server generates reminders for incomplete tasks at appropriate times. The device notifies the user of reminders that take into account the user's emotional state and adjusts the timing as needed to reduce the user's mental burden.

[0527] Step 8:

[0528] When a user has a question or need advice via the system, they send an inquiry from their terminal to the server. The server uses a consultation response method to generate an appropriate answer, taking into account the results of the emotion engine's analysis, and sends it back to the user via the terminal.

[0529] Through this series of processes, the system provides comprehensive support to the user, including emotional support.

[0530] (Example 2)

[0531] 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."

[0532] In modern society, end-of-life planning involves numerous legal requirements and complex procedures, creating a significant psychological burden for users. Furthermore, the prioritization of procedures is often based solely on legal considerations, without taking into account the emotional state of individual users, making it difficult for them to proceed efficiently and with peace of mind.

[0533] 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.

[0534] In this invention, the server includes an information registration function that receives user input information and creates user information, a process management function that generates necessary work procedures and determines their priority, an activity progress management function that manages the progress of completed and incomplete tasks and generates notifications, and an emotion adjustment function that analyzes the user's psychological state using emotion analysis technology and adjusts the progress of tasks. As a result, the user can reduce their psychological burden and proceed with work procedures with peace of mind.

[0535] The "information registration function" is a function that receives user input information and creates user information based on that information.

[0536] The "process management function" is a function that generates necessary business procedures based on the user information mentioned above and determines priorities based on legal requirements, deadlines, and psychological state.

[0537] The "information provision function" is a function that notifies users of the generated tasks and provides detailed instructions for the work procedures.

[0538] The "Activity Progress Management Function" is a function that manages the progress of completed and incomplete tasks and generates notifications.

[0539] The "emotion regulation function" is a feature that uses emotion analysis technology to analyze the user's psychological state and adjust the progress of tasks accordingly.

[0540] The system for implementing this invention is realized by having the user input information necessary for the deceased's end-of-life planning procedures using a terminal, and this information being processed on a server. The server is equipped with a high-performance database management system and a dedicated module for sentiment analysis. Specifically, the server receives input to create user information and stores it in a database. Open-source relational database management software is used as the database management system. Based on this profile information, the server determines the priority of business procedures and generates a list of necessary tasks. Sentiment adjustment is performed based on a specific sentiment analysis algorithm, and the timing of notifications and the content of reminders are adjusted to reduce the user's psychological burden.

[0541] The terminal displays the generated task list clearly to the user and provides specific information and guidance according to the instructions. The user reports task completion to the server via the terminal. Based on this report, the server manages activity progress and adjusts reminders as needed.

[0542] As a concrete example, consider a scenario where a user uses this system to proceed with "inheritance procedures." The user inputs the deceased's information on a terminal, and the server presents the legal procedures in the optimal order. If the user shows signs of psychological fatigue during the process, the system automatically takes measures such as delaying notifications and encouraging breaks based on emotion analysis. This allows the user to proceed with the necessary procedures with peace of mind.

[0543] An example of a prompt statement is, "Please tell me how to use the emotion engine to reduce the psychological burden of the upcoming procedure." This statement is used as input when using each function of the system.

[0544] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0545] Step 1:

[0546] The user uses a device to enter the deceased's basic information and their own contact details. The device then sends this data to the server. This data includes name, date of birth, address, etc., and forms the basis of the user profile.

[0547] Step 2:

[0548] The server stores the received input data in a database management system and generates a user profile. Here, the server verifies the accuracy of the data and processes it to create the profile. As output, the profile, containing the user's basic information, is stored in the database.

[0549] Step 3:

[0550] The server uses a generated AI model based on profile information to extract necessary business procedures and create a task list. The server uses legal requirements and sentiment analysis algorithms to determine priorities. The output is a prioritized task list.

[0551] Step 4:

[0552] The terminal receives a task list from the server and displays it to the user. The user views the task list on the terminal to check detailed information and guides. Tasks include necessary documents and visit information, allowing the user to understand what to do next.

[0553] Step 5:

[0554] Each time a user completes a task, they report the completion information to the server via their terminal. This input includes pressing a task completion button. The server updates the database with completed tasks and manages the progress.

[0555] Step 6:

[0556] The server uses a sentiment analysis algorithm to create reminders for incomplete tasks. The server adjusts the content and timing of the reminders, taking into account the user's psychological state. An optimized reminder is generated as output.

[0557] Step 7:

[0558] The device displays reminders sent from the server and notifies the user. By receiving the notification, the user can check the next task to be done and proceed with the process at a comfortable pace.

[0559] (Application Example 2)

[0560] 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."

[0561] For users handling end-of-life arrangements for the deceased, reducing psychological burden is a crucial issue. Such procedures are emotionally difficult and cannot be adequately addressed with typical mechanical task management. Furthermore, there is a need for support that reduces the psychological stress associated with daily procedures and care for those receiving care and their families, enabling them to continue these tasks with peace of mind.

[0562] 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.

[0563] In this invention, the server includes an information registration means for receiving user input information and creating a profile; an emotion control means for generating necessary procedures and determining priorities based on the profile while considering emotional burden; and a progress management means for managing the progress of procedures and generating adjusted reminders to reduce emotional burden. This makes it possible to efficiently and appropriately carry out necessary procedures while reducing the psychological burden on the user.

[0564] A "profile" is a dataset that represents the status and attributes of an individual user, generated based on input information received from the user.

[0565] "Emotional control measures" are means of analyzing the user's psychological state, determining the priority of procedures to reduce emotional burden, and adaptively adjusting them.

[0566] A "progress management tool" is a means of tracking the progress of a user's procedures, identifying completed and incomplete tasks, and generating reminders.

[0567] An "information registration method" is a means of receiving user input information and creating a profile.

[0568] "Information provision methods" refer to means of providing users with procedural guides and details, and helping them efficiently complete the tasks they need to do.

[0569] A "consultation support system" is a means of generating interactive responses in response to user inquiries and assisting users in resolving their problems.

[0570] The system that implements this application is built using a server, user terminals, and an emotion engine. The server has a backend system implemented in Python or JavaScript, and SQL or NoSQL (e.g., Firebase) can be used as the database.

[0571] The server has a means of registering information to collect user input and generate profiles. User terminals include smartphones and tablets, from which information can be entered. The server stores this information in a database and generates a profile for each user.

[0572] Based on the generated profile, the server uses emotion control mechanisms to generate and prioritize necessary procedures. In this process, an emotion engine (e.g., Google Cloud AI, IBM Watson) is used to analyze the user's emotional state and adjust priorities to reduce psychological burden.

[0573] The user terminal receives procedural guides and reminder information sent from the server and displays it to the user as a means of providing information. This makes it easier for users to efficiently manage care-related tasks.

[0574] As a concrete example, consider a scenario where a user is handling care procedures for an elderly person. If the emotion engine analyzes that the elderly person is experiencing stress, the server can choose to delay the next medical facility visit. This allows the caregiver to continue providing care on a schedule that takes the elderly person's psychological burden into consideration.

[0575] An example of a prompt message is: "Assess the user's current stress level and adjust the priority of the next care tasks."

[0576] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0577] Step 1:

[0578] The server receives input information sent from the user's terminal. This input includes the user's personal data and information about deceased individuals. The server stores this data in a database and creates a user profile. Data is added to the database using SQL queries.

[0579] Step 2:

[0580] The server generates procedures using emotion control mechanisms based on the generated profile. It takes profile information as input and creates a task list as output. The server utilizes an AI model to analyze the information within the profile and evaluate priorities. This allows the emotion engine to determine the user's emotional state and adjust priorities according to their psychological burden.

[0581] Step 3:

[0582] The server sends a task list containing specific procedural information to the user terminal based on the determined priorities. Using the prioritized task list as input, it organizes the data sent to the terminal. The user receives a detailed guide, including prompts, as output.

[0583] Step 4:

[0584] The user reviews the task list received on their device and initiates the process as needed. Based on the user's input, the device sends the task completion status to the server. This enables progress management, and the server updates the task progress.

[0585] Step 5:

[0586] The server generates timely reminders for remaining incomplete tasks based on progress information. An emotion engine monitors psychological stress and adjusts the timing of reminders accordingly. The generated reminders, along with prompt messages, are sent to the terminal.

[0587] 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.

[0588] 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.

[0589] 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.

[0590] [Fourth Embodiment]

[0591] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0592] 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.

[0593] 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).

[0594] 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.

[0595] 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.

[0596] 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).

[0597] 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.

[0598] 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.

[0599] 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.

[0600] 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.

[0601] 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.

[0602] 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.

[0603] 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".

[0604] This invention is a system that provides support to help users smoothly carry out end-of-life arrangements for the deceased. An embodiment thereof is described below.

[0605] First, the user uses a terminal to enter basic information about the deceased (name, date of birth, date of death, etc.) as well as their relationship to the deceased and contact information. The terminal sends this information to the server, which stores it in a database using an information registration method. This creates a user profile.

[0606] Next, the server uses task management tools to analyze the user profile and list the necessary procedures. The list includes specific tasks (e.g., filing a death certificate, funeral arrangements, preparing inheritance documents), and their priority is determined based on legal deadlines and local customs.

[0607] The server sends the generated task list to the terminal, which visually presents it to the user through an information delivery system. Here, the user can view a detailed guide on the terminal screen regarding the task that should be prioritized first. This includes necessary documents, location of procedures, and reception hours.

[0608] As the user works on a task, the device records the progress, and the server updates the status using progress management tools as needed. The server selects the next task from a list of incomplete tasks and generates a reminder based on the deadline. The device notifies the user of this and prompts them to complete the task in a timely manner.

[0609] Furthermore, if a user has any questions or concerns, they can send an inquiry to the server from their device. The server generates an answer to the question using a consultation system and sends it back to the user via the device. At this time, it retrieves appropriate answers from past data and FAQs and provides information in a way that is easy for the user to understand.

[0610] As a concrete example, consider a scenario where a user is going through the process of scheduling a funeral. Using this system, the user can quickly obtain the necessary information and set the location and date of the procedure without any confusion. They will also receive appropriate guidance on what documents are needed and where to obtain them, preventing procedural omissions and reducing the burden on the bereaved family.

[0611] In this way, the system supports users by integrating and managing various elements in the procedure, thereby improving efficiency and simplicity.

[0612] The following describes the processing flow.

[0613] Step 1:

[0614] The user uses the device to enter the deceased's basic information and their own contact information. The device then compiles the entered information and sends it to the server.

[0615] Step 2:

[0616] The server stores the received information in a database using an information registration mechanism and creates a user profile. This profile stores all the basic information necessary for the procedure.

[0617] Step 3:

[0618] The server analyzes the user profile and generates a task list of necessary procedures. Using task management tools, it determines the priority of each procedure based on legal requirements and deadlines.

[0619] Step 4:

[0620] The server sends the generated task list to the terminal. The terminal uses an information delivery device to display the tasks and their detailed guides to the user.

[0621] Step 5:

[0622] The user reviews the task list displayed on the device and begins the process for their priority task. After completing the process, they update the status on the device.

[0623] Step 6:

[0624] The terminal sends the user's updated progress to the server. The server updates the database using a progress management system and records completed tasks.

[0625] Step 7:

[0626] The server generates reminders based on the deadlines for incomplete tasks. The terminal notifies the user of these reminders to encourage them to proceed with the process without delay.

[0627] Step 8:

[0628] When a user has questions or concerns, they send an inquiry to the server through their device. The server generates an appropriate answer to the question using a consultation system and sends it back to the user through their device.

[0629] In this way, the system executes each step in a sequential manner, comprehensively supporting the user's procedures.

[0630] (Example 1)

[0631] 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".

[0632] When handling end-of-life arrangements for a deceased person, there is a need to eliminate the complexity and ambiguity of the procedures that users face, and to facilitate the quick and reliable completion of necessary procedures. In particular, prioritizing according to legal deadlines and regional requirements, timely provision of necessary information, and accurate management of progress are key challenges.

[0633] 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.

[0634] In this invention, the server includes an information registration means for receiving user input information and creating a profile, a task management means for generating necessary procedures using a generation AI model and determining their priority, and a progress management means for managing the progress of completed and incomplete tasks and generating reminders based on deadlines. This enables users to efficiently complete complex procedures, meet important deadlines, and obtain accurate and necessary information in a timely manner.

[0635] "Information registration means" refers to technology that receives information entered by a user and generates a user profile based on that information.

[0636] A "generative AI model" is an artificial intelligence technology used to analyze user profiles and determine necessary procedures and their priorities.

[0637] A "task management method" is a technique for determining priorities from a generated list of procedures, taking into account legal priorities and local customs.

[0638] "Information provision means" refers to technologies that provide users with timely guidance on necessary procedures and detailed information.

[0639] A "progress management tool" is a technology that manages completed and incomplete tasks and generates deadline-based reminders.

[0640] A "consultation response method" is a technology that, in response to user inquiries, refers to past data and FAQs and provides interactive answers.

[0641] The system in this invention provides a process for users to efficiently carry out end-of-life arrangements for a deceased person. Specifically, it includes an information registration means, a task management means using a generation AI model, an information provision means, a progress management means, and a consultation and support means.

[0642] First, the user enters basic information about the deceased and their own contact information via a terminal. This terminal can be a digital device such as a smartphone or personal computer. The entered information is sent from the terminal to the server. The server receives the data using a secure communication protocol (e.g., HTTPS).

[0643] The server uses an information registration system to store the received information in a database management system (e.g., MySQL or PostgreSQL) and generates a user profile. The profile is then analyzed by a generating AI model to list the necessary administrative procedures and tasks. These listed tasks are then prioritized by the server, taking into account legal priorities and local customs.

[0644] The server sends a task list to the terminal, which then visually presents it to the user. Detailed guides for each task, required documents, locations, and operating hours are also provided. Progress tracking measures manage completed and incomplete tasks, and reminders are generated based on deadlines.

[0645] Furthermore, if a user has a question, they can send it from their device to the server. The server uses a consultation system, referring to past data and FAQs, to generate an appropriate answer and send it back through the device.

[0646] For example, when a user is in the process of deciding on the date of a funeral, this system allows them to obtain the necessary information in a timely manner and quickly select the location and date of the procedure. Furthermore, by asking the system, "How should I decide on the date of the deceased's funeral?", the user will be guided through detailed procedures and points to note.

[0647] This allows the system to efficiently manage a series of procedures and provide comprehensive support to users.

[0648] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0649] Step 1:

[0650] The user uses a terminal to enter basic information about the deceased (name, date of birth, date of death, etc.) and their own contact information. The entered information is converted into a digital format by the terminal and sent to the server. At this time, the terminal uses a secure communication protocol such as HTTPS to ensure the security of the information.

[0651] Step 2:

[0652] The server processes the received information using a database management system and generates a user profile. It stores the data in the database while checking its integrity using an information registration method. At this stage, a unique profile ID is generated based on the user's input information.

[0653] Step 3:

[0654] The server analyzes the user profile using a generative AI model. It lists the necessary administrative procedures and tasks, prioritizing them based on legal deadlines and local customs. This information, output as a task list, is generated by combining a pre-configured rule base with inference from the AI ​​model.

[0655] Step 4:

[0656] The server sends the generated task list to the terminal. The terminal receives it and displays it visually through the user interface. The user can view the task list and check detailed guides (required documents, location of procedures, reception hours, etc.).

[0657] Step 5:

[0658] As a user works on a task, the device records its progress and sends the completion status to the server. The progress management system allows the server to update the database with the latest progress. This enables the server to re-evaluate incomplete tasks, select the next task, and generate reminders.

[0659] Step 6:

[0660] When a user has a question, they send an inquiry to the server through their device. The server uses a consultation system to generate an answer for the user, referring to past data and FAQs. The device then displays the response from the server to the user. This reduces confusion and stress for the user during the process.

[0661] (Application Example 1)

[0662] 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".

[0663] End-of-life planning for the deceased involves numerous procedures and a large amount of information, which places a significant burden on the bereaved family. Furthermore, proper prioritization and guidance are essential to efficiently and reliably carry out these procedures. However, conventional systems lack sufficient progress management and direct, interactive support, resulting in procedural omissions and increased workload.

[0664] 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.

[0665] In this invention, the server includes data registration means for receiving user input information and creating identification information, work management means for generating necessary procedures and determining their priority based on the identification information, and dialogue means for providing interactive guidance via a voice interface and a visual display device. This makes it possible to efficiently manage the procedures required by the user and support the progress of the procedures in real time by providing voice and visual guidance.

[0666] A "user" refers to an individual or organization that uses the system to carry out end-of-life arrangements for a deceased person.

[0667] "Input information" refers to data such as the deceased person's basic information, their relationship with the user, and contact information.

[0668] "Identification information" refers to individual profiles created based on data entered by the user.

[0669] "Data registration means" refers to a function that sends information entered by a user to a server and stores it in a database.

[0670] "Work management means" refers to a function that analyzes identification information, generates necessary procedures, and determines their priority.

[0671] "Voice interface" refers to the speech recognition and speech generation functions used by users to interact with robots.

[0672] A "visual display device" refers to a display or screen used to visually present information to a user.

[0673] "Dialogue means" refers to functions that enable interactive communication with the user using voice interfaces and visual display devices.

[0674] "Progress management tools" refer to features that track how much of a procedure a user has completed and generate reminders.

[0675] The system for implementing this invention provides the necessary support for users to smoothly carry out end-of-life arrangements for the deceased. The user uses a smart device to input basic information about the deceased and their own relationship information, and the device transmits this information to a server. The server uses a data registration means to store this information in a database and create identification information.

[0676] The server uses work management tools to analyze identification information, lists the necessary procedures, and determines their priority based on legal priorities and cultural factors. The listed procedures are guided to the user through a terminal equipped with a voice interface and visual display device.

[0677] The terminal uses a voice interface to engage in natural language dialogue and tracks the user's work completion status through a progress management system. This allows the server to generate reminders for incomplete tasks and notify the user accordingly. As a concrete example of its use, if a user asks a question about a procedure, they can receive a real-time answer through the voice interface.

[0678] By using generative AI models, the system provides appropriate answers to user queries. Furthermore, technologies such as Google Speech-to-Text and OpenAI GPT can be used for voice interfaces and visual displays.

[0679] Examples of prompt messages include: "Please enter the deceased's name and basic information. Next, please guide us through the necessary end-of-life planning procedures. We will also guide you on how to schedule the funeral."

[0680] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0681] Step 1:

[0682] The user uses the smart device interface to input basic information about the deceased and their own relationship to the deceased. This includes name, date of birth, date of death, and relationship. The entered information is temporarily stored on the device and then prepared to be sent to the server.

[0683] Step 2:

[0684] The server uses a data registration mechanism to receive information entered by the user and stores it in the database. After receiving the data, it performs the necessary data transformations to create identification information and generates a user profile. This provides a foundation for subsequent procedures to proceed smoothly.

[0685] Step 3:

[0686] The server automatically generates the necessary procedures using work management tools based on the created user profile. Specifically, it creates a task list for each procedure, taking into account legal priorities and cultural factors, and determines their priority. This list is stored in a database and prepared for transmission to the terminal.

[0687] Step 4:

[0688] The terminal receives a task list sent from the server and provides guidance to the user through a voice interface and visual display. The user can review the displayed information and begin working. Specific procedural details are displayed, prompting the user to take the necessary actions.

[0689] Step 5:

[0690] The terminal tracks the user's progress in real time and sends the progress status to the server using a progress management system. The server receives this information, marks completed tasks, and generates reminders for incomplete tasks. The generated reminders are then sent back to the terminal to notify the user.

[0691] Step 6:

[0692] If a user has questions about a procedure, they can submit an inquiry through their device. The server receives this query and uses a generative AI model to generate an appropriate answer. The answer is then sent back to the device in a format that is easy for the user to understand, using natural language processing.

[0693] Step 7:

[0694] The terminal provides the generated response to the user through a voice interface and visual display. This allows the user to quickly obtain the information necessary for the next step, enabling a smooth process.

[0695] 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.

[0696] This invention is a system that provides support for necessary procedures while reducing the psychological burden that users face when dealing with end-of-life arrangements for a deceased person. Embodiments of the present invention are described below.

[0697] The system of this invention employs an information registration means that creates a profile based on user input information. The user inputs basic information about the deceased and their own contact information via a terminal, and this data is stored on a server to generate a profile. This basic data prepares the system to provide support optimized for the user's situation.

[0698] The task management system analyzes profile information and displays necessary procedures as a task list. Prioritization is adjusted using an emotion engine that considers not only legal requirements and deadlines, but also the user's psychological burden. This ensures that procedures can be carried out in an emotionally calm state.

[0699] The information provision mechanism is responsible for clearly displaying the generated task list on the device. When selecting a task, users can obtain information on specific procedures, required documents, and destinations. The emotion engine considers the user's current emotional state and can add further explanations and considerate guidance as needed.

[0700] The progress management system updates the server with completed tasks and generates reminders for incomplete tasks. The reminder content and notification frequency are adjusted based on feedback from an emotional engine, ensuring that the system is not overburdening.

[0701] As a concrete example, consider a scenario where a user is going through "inheritance procedures." After the user completes the initial legally required procedures, the system can adjust the reminder for the next procedure if the emotional engine detects signs of psychological fatigue. In this way, necessary procedures are carried out reliably while minimizing the user's mental burden.

[0702] This invention, by incorporating an emotion engine, goes beyond conventional mechanical task management and functions as a system that understands and flexibly responds to the user's emotions. As a result, the user can perform a series of procedures with peace of mind.

[0703] The following describes the processing flow.

[0704] Step 1:

[0705] The user uses a terminal to enter the deceased's basic information and their own contact information. The terminal sends this information to the server, which then generates a profile using an information registration mechanism.

[0706] Step 2:

[0707] The server analyzes profiles generated using task management tools. It lists the necessary procedures and uses an emotion engine to determine priorities, taking into account legal requirements, deadlines, and the user's psychological burden.

[0708] Step 3:

[0709] The server sends the extracted task list and priority information to the terminal. The terminal displays a guide to specific tasks and procedures to the user through an information delivery system.

[0710] Step 4:

[0711] The user selects a priority task from the task list displayed on the terminal and prepares to begin. The terminal provides the user with the necessary documents and information about the destination to proceed with the process.

[0712] Step 5:

[0713] When a user completes a task, the task status is updated on the device. The device sends the update information to the server, which then records the progress using a progress management system.

[0714] Step 6:

[0715] The server uses an emotion engine to assess the user's emotions. If it determines that the user is psychologically fatigued, it adjusts the content or frequency of the next reminder.

[0716] Step 7:

[0717] The server generates reminders for incomplete tasks at appropriate times. The device notifies the user of reminders that take into account the user's emotional state and adjusts the timing as needed to reduce the user's mental burden.

[0718] Step 8:

[0719] When a user has a question or need advice via the system, they send an inquiry from their terminal to the server. The server uses a consultation response method to generate an appropriate answer, taking into account the results of the emotion engine's analysis, and sends it back to the user via the terminal.

[0720] Through this series of processes, the system provides comprehensive support to the user, including emotional support.

[0721] (Example 2)

[0722] 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".

[0723] In modern society, end-of-life planning involves numerous legal requirements and complex procedures, creating a significant psychological burden for users. Furthermore, the prioritization of procedures is often based solely on legal considerations, without taking into account the emotional state of individual users, making it difficult for them to proceed efficiently and with peace of mind.

[0724] 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.

[0725] In this invention, the server includes an information registration function that receives user input information and creates user information, a process management function that generates necessary work procedures and determines their priority, an activity progress management function that manages the progress of completed and incomplete tasks and generates notifications, and an emotion adjustment function that analyzes the user's psychological state using emotion analysis technology and adjusts the progress of tasks. As a result, the user can reduce their psychological burden and proceed with work procedures with peace of mind.

[0726] The "information registration function" is a function that receives user input information and creates user information based on that information.

[0727] The "process management function" is a function that generates necessary business procedures based on the user information mentioned above and determines priorities based on legal requirements, deadlines, and psychological state.

[0728] The "information provision function" is a function that notifies users of the generated tasks and provides detailed instructions for the work procedures.

[0729] The "Activity Progress Management Function" is a function that manages the progress of completed and incomplete tasks and generates notifications.

[0730] The "emotion regulation function" is a feature that uses emotion analysis technology to analyze the user's psychological state and adjust the progress of tasks accordingly.

[0731] The system for implementing this invention is realized by having the user input information necessary for the deceased's end-of-life planning procedures using a terminal, and this information being processed on a server. The server is equipped with a high-performance database management system and a dedicated module for sentiment analysis. Specifically, the server receives input to create user information and stores it in a database. Open-source relational database management software is used as the database management system. Based on this profile information, the server determines the priority of business procedures and generates a list of necessary tasks. Sentiment adjustment is performed based on a specific sentiment analysis algorithm, and the timing of notifications and the content of reminders are adjusted to reduce the user's psychological burden.

[0732] The terminal displays the generated task list clearly to the user and provides specific information and guidance according to the instructions. The user reports task completion to the server via the terminal. Based on this report, the server manages activity progress and adjusts reminders as needed.

[0733] As a concrete example, consider a scenario where a user uses this system to proceed with "inheritance procedures." The user inputs the deceased's information on a terminal, and the server presents the legal procedures in the optimal order. If the user shows signs of psychological fatigue during the process, the system automatically takes measures such as delaying notifications and encouraging breaks based on emotion analysis. This allows the user to proceed with the necessary procedures with peace of mind.

[0734] An example of a prompt statement is, "Please tell me how to use the emotion engine to reduce the psychological burden of the upcoming procedure." This statement is used as input when using each function of the system.

[0735] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0736] Step 1:

[0737] The user uses a device to enter the deceased's basic information and their own contact details. The device then sends this data to the server. This data includes name, date of birth, address, etc., and forms the basis of the user profile.

[0738] Step 2:

[0739] The server stores the received input data in a database management system and generates a user profile. Here, the server verifies the accuracy of the data and processes it to create the profile. As output, the profile, containing the user's basic information, is stored in the database.

[0740] Step 3:

[0741] The server uses a generated AI model based on profile information to extract necessary business procedures and create a task list. The server uses legal requirements and sentiment analysis algorithms to determine priorities. The output is a prioritized task list.

[0742] Step 4:

[0743] The terminal receives a task list from the server and displays it to the user. The user views the task list on the terminal to check detailed information and guides. Tasks include necessary documents and visit information, allowing the user to understand what to do next.

[0744] Step 5:

[0745] Each time a user completes a task, they report the completion information to the server via their terminal. This input includes pressing a task completion button. The server updates the database with completed tasks and manages the progress.

[0746] Step 6:

[0747] The server uses a sentiment analysis algorithm to create reminders for incomplete tasks. The server adjusts the content and timing of the reminders, taking into account the user's psychological state. An optimized reminder is generated as output.

[0748] Step 7:

[0749] The device displays reminders sent from the server and notifies the user. By receiving the notification, the user can check the next task to be done and proceed with the process at a comfortable pace.

[0750] (Application Example 2)

[0751] 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".

[0752] For users handling end-of-life arrangements for the deceased, reducing psychological burden is a crucial issue. Such procedures are emotionally difficult and cannot be adequately addressed with typical mechanical task management. Furthermore, there is a need for support that reduces the psychological stress associated with daily procedures and care for those receiving care and their families, enabling them to continue these tasks with peace of mind.

[0753] 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.

[0754] In this invention, the server includes an information registration means for receiving user input information and creating a profile; an emotion control means for generating necessary procedures and determining priorities based on the profile while considering emotional burden; and a progress management means for managing the progress of procedures and generating adjusted reminders to reduce emotional burden. This makes it possible to efficiently and appropriately carry out necessary procedures while reducing the psychological burden on the user.

[0755] A "profile" is a dataset that represents the status and attributes of an individual user, generated based on input information received from the user.

[0756] "Emotional control measures" are means of analyzing the user's psychological state, determining the priority of procedures to reduce emotional burden, and adaptively adjusting them.

[0757] A "progress management tool" is a means of tracking the progress of a user's procedures, identifying completed and incomplete tasks, and generating reminders.

[0758] An "information registration method" is a means of receiving user input information and creating a profile.

[0759] "Information provision methods" refer to means of providing users with procedural guides and details, and helping them efficiently complete the tasks they need to do.

[0760] A "consultation support system" is a means of generating interactive responses in response to user inquiries and assisting users in resolving their problems.

[0761] The system that implements this application is built using a server, user terminals, and an emotion engine. The server has a backend system implemented in Python or JavaScript, and SQL or NoSQL (e.g., Firebase) can be used as the database.

[0762] The server has a means of registering information to collect user input and generate profiles. User terminals include smartphones and tablets, from which information can be entered. The server stores this information in a database and generates a profile for each user.

[0763] Based on the generated profile, the server uses emotion control mechanisms to generate and prioritize necessary procedures. In this process, an emotion engine (e.g., Google Cloud AI, IBM Watson) is used to analyze the user's emotional state and adjust priorities to reduce psychological burden.

[0764] The user terminal receives procedural guides and reminder information sent from the server and displays it to the user as a means of providing information. This makes it easier for users to efficiently manage care-related tasks.

[0765] As a concrete example, consider a scenario where a user is handling care procedures for an elderly person. If the emotion engine analyzes that the elderly person is experiencing stress, the server can choose to delay the next medical facility visit. This allows the caregiver to continue providing care on a schedule that takes the elderly person's psychological burden into consideration.

[0766] An example of a prompt message is: "Assess the user's current stress level and adjust the priority of the next care tasks."

[0767] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0768] Step 1:

[0769] The server receives input information sent from the user's terminal. This input includes the user's personal data and information about deceased individuals. The server stores this data in a database and creates a user profile. Data is added to the database using SQL queries.

[0770] Step 2:

[0771] The server generates procedures using emotion control mechanisms based on the generated profile. It takes profile information as input and creates a task list as output. The server utilizes an AI model to analyze the information within the profile and evaluate priorities. This allows the emotion engine to determine the user's emotional state and adjust priorities according to their psychological burden.

[0772] Step 3:

[0773] The server sends a task list containing specific procedural information to the user terminal based on the determined priorities. Using the prioritized task list as input, it organizes the data sent to the terminal. The user receives a detailed guide, including prompts, as output.

[0774] Step 4:

[0775] The user reviews the task list received on their device and initiates the process as needed. Based on the user's input, the device sends the task completion status to the server. This enables progress management, and the server updates the task progress.

[0776] Step 5:

[0777] The server generates timely reminders for remaining incomplete tasks based on progress information. An emotion engine monitors psychological stress and adjusts the timing of reminders accordingly. The generated reminders, along with prompt messages, are sent to the terminal.

[0778] 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.

[0779] 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.

[0780] 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.

[0781] 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.

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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."

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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.

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] The following is further disclosed regarding the embodiments described above.

[0800] (Claim 1)

[0801] A means of registering information to receive user input and create a profile,

[0802] A task management means that generates necessary procedures based on the aforementioned profile and determines their priority,

[0803] An information provision means for notifying the user of the aforementioned task and providing a detailed procedural guide,

[0804] A progress management system that manages the progress of completed and incomplete tasks and generates reminders,

[0805] A consultation support system that generates interactive responses based on user inquiries,

[0806] A system that includes this.

[0807] (Claim 2)

[0808] The task management means determines priority based on legal priority and deadline, according to claim 1.

[0809] (Claim 3)

[0810] The information provision means provides a procedural guide that takes into account the user's location information and religious information, according to claim 1.

[0811] "Example 1"

[0812] (Claim 1)

[0813] A means of registering information to receive user input and create a profile,

[0814] A task management means that generates necessary procedures using a generative AI model based on the aforementioned profile and determines their priority,

[0815] An information provision means for notifying the user of the aforementioned task and providing a detailed procedural guide,

[0816] A progress management system that manages the progress of completed and incomplete tasks and generates reminders based on deadlines,

[0817] A consultation service that, in response to user inquiries, interactively generates answers by referring to past data and FAQs,

[0818] A system that includes this.

[0819] (Claim 2)

[0820] The system according to claim 1, wherein the task management means determines priorities based on legal priorities and local customs.

[0821] (Claim 3)

[0822] The information provision means provides a detailed procedural guide, taking into account the user's location information, according to claim 1.

[0823] "Application Example 1"

[0824] (Claim 1)

[0825] A data registration means that receives user input information and creates identification information,

[0826] A work management means that generates necessary procedures based on the aforementioned identification information and determines their priority,

[0827] An information provision means for notifying the user of the aforementioned work and providing detailed procedural guidance,

[0828] A progress management system that manages the progress of completed and incomplete tasks and generates reminders,

[0829] A question handling method that generates interactive answers based on user inquiries,

[0830] A dialogue means that provides interactive guidance via a voice interface and a visual display device,

[0831] A system that includes this.

[0832] (Claim 2)

[0833] The work management means determines priority based on legal priority and deadline, according to the system of claim 1.

[0834] (Claim 3)

[0835] The information provision means provides procedural guidance that takes into account the user's location information and cultural information, according to the system of claim 1.

[0836] "Example 2 of combining an emotion engine"

[0837] (Claim 1)

[0838] An information registration function that receives user input information and creates user information,

[0839] Based on the aforementioned user information, a process management function generates necessary business procedures and determines their priority,

[0840] An information provision function that notifies the user of the aforementioned tasks and provides detailed instructions for the tasks,

[0841] An activity progress management function that manages the progress of completed and incomplete tasks and generates notifications,

[0842] An emotion adjustment function that uses emotion analysis technology to analyze the user's psychological state and adjust the progress of work,

[0843] A system that includes this.

[0844] (Claim 2)

[0845] The system according to claim 1, wherein the process management function determines priorities taking into account legal priorities, deadlines, and psychological burdens.

[0846] (Claim 3)

[0847] The information provision function further adjusts the content of the instructions using emotion analysis technology, according to claim 1.

[0848] "Application example 2 when combining with an emotional engine"

[0849] (Claim 1)

[0850] A means of registering information to receive user input and create a profile,

[0851] An emotion control means that generates necessary procedures based on the aforementioned profile and determines their priority,

[0852] A progress management means for managing the progress of the aforementioned procedure and generating adjusted reminders to reduce emotional burden,

[0853] An information provision tool that analyzes the user's psychological state and provides a procedural guide that is adaptively adjusted to take into account emotional burden,

[0854] A consultation service that generates interactive responses that take into account the emotional state of users based on their inquiries,

[0855] A system that includes this.

[0856] (Claim 2)

[0857] The system according to claim 1, wherein the emotion control means determines priorities based on legal priorities and deadlines for the purpose of reducing psychological burden.

[0858] (Claim 3)

[0859] The information provision means provides a procedural guide that takes into account the user's location information and cultural background, according to claim 1. [Explanation of symbols]

[0860] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of registering information to receive user input and create a profile, A task management means that generates necessary procedures based on the aforementioned profile and determines their priority, An information provision means for notifying the user of the aforementioned task and providing a detailed procedural guide, A progress management system that manages the progress of completed and incomplete tasks and generates reminders, A consultation support system that generates interactive responses based on user inquiries, A system that includes this.

2. The task management means determines priority based on legal priority and deadline, according to claim 1.

3. The information provision means provides a procedural guide that takes into account the user's location information and religious information, according to claim 1.

Images