system

Abstract

Provide a system. [Solution] A means for the deceased to input his / her own information; A means for heirs to enter their respective information; A means for transmitting the collected information and opinion data of the deceased and the heirs to a server; means for presenting the generated proposals; means to support the exchange of ideas between heirs; a means for reviewing and correcting the final proposals generated; a means for generating a final version of the will; A system including:

Description

[Technical Field]

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

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

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Inheritance procedures involve complex intertwining factors such as degree of kinship, the depth of the relationship with the deceased, and individual wishes, making it difficult for all relatives to agree on the matter. This has led to disputes over inheritance and the deterioration of family relationships, which has become a problem. Another issue is that the process for the deceased to prepare an appropriate will is complicated and requires a lot of time and effort. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides a system having the following configuration. The system includes a means for the deceased to input his or her own information, a means for the heirs to input their respective information, a means for transmitting collected information and opinion data about the deceased and the heirs to a server, a means for presenting generated proposals, a means for supporting opinion exchanges between the heirs, a means for confirming and amending the generated final proposal, and a means for generating a final will, allowing appropriate inheritance details to be determined in a manner that satisfies both the deceased and the heirs. Furthermore, by including a means for providing an opinion collection form for inputting the opinions and wishes of each heir, and a generative AI model that proposes optimal asset distribution based on the generated proposals, the system can smoothly proceed with inheritance procedures.

[0006] "Means for inputting information about the deceased" refers to an interface that allows the deceased to input information such as their name, age, and list of assets into the system.

[0007] "Means for heirs to enter their respective information" refers to an interface that allows each heir to enter information into the system, such as their name, age, relationship to the deceased, and wishes regarding the estate.

[0008] "Means for transmitting collected information and opinion data of the deceased and the heirs to the server" refers to means for transmitting information entered by the deceased and the heirs to the server.

[0009] The "means for presenting generated proposals" refers to an interface for presenting the optimal asset distribution plan proposed by the generative AI model to the deceased or heirs.

[0010] "Means to support the exchange of opinions among heirs" refers to an interface that provides chat and comment functions for heirs to exchange opinions with each other.

[0011] The "means for reviewing and amending the generated final proposal" is an interface that allows the decedent to review the generated final proposal and input any necessary amendments.

[0012] The "means for generating a final version of a will" is a function for generating a will in a legally valid format based on the final proposal amended by the deceased.

[0013] The "means for providing an opinion gathering form" is an interface for gathering opinions used by each heir to input the reasons for and specific requests regarding the distribution of assets.

[0014] A "generative AI model" is an artificial intelligence model that analyzes collected data and generates optimal wealth distribution proposals. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 2, in the data processing device 12, a specific process 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" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process 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.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] MODE FOR CARRYING OUT THE INVENTION

[0037] System Overview

[0038] This invention is a system that uses generative AI when a deceased person prepares a will to simplify inheritance procedures and reduce disputes between family members. Its main components include a terminal for collecting and sending information about users (decedents and heirs), a server that analyzes the data and generates optimal proposals, and an interface for presenting and modifying the generated proposals.

[0039] Program processing and specific examples

[0040] Enter information about the deceased

[0041] Terminal (Decedent): The decedent enters information such as their name, age, and a list of assets, including real estate, cash, stocks, etc.

[0042] Server: Receives information entered by the deceased in real time and stores it in a database.

[0043] Entering information about heirs

[0044] User (heir): Each heir enters their own information from their own device, such as their name, age, relationship to the deceased, and desired distribution of assets.

[0045] Terminal (Heir): When the heir finishes entering information, it is sent to the server.

[0046] Server: Receives the transmitted information and stores it in a database.

[0047] Collecting and submitting opinions

[0048] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form. This interface includes text boxes and options.

[0049] User (inheritor): Once you have finished entering information, press the send button.

[0050] Server: Receives collected opinion data and stores it in a database.

[0051] Proposal generation and presentation by generative AI

[0052] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into a generative AI model. The AI ​​model analyzes the data and generates optimal asset distribution proposals.

[0053] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[0054] Supporting the exchange of opinions

[0055] Terminal (decedent and heir): An interface that provides chat and comment functions for heirs to exchange opinions. This interface enables real-time communication.

[0056] Generate and review the final proposal

[0057] Server: Generates a final asset distribution proposal based on the records of the exchange of opinions and the initial proposal.

[0058] Terminal (Decedent): Provides an interface for the decedent to review the final proposal and enter any necessary corrections.

[0059] Server: Receives the confirmed details and generates the final will.

[0060] Generate the final version of the will

[0061] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent.

[0062] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, the will is officially finalized.

[0063] Specific examples

[0064] Let's consider the case where the deceased is "Yamada Ichiro" and the heirs are "eldest son Yamada Taro," "eldest daughter Yamada Hanako," and "younger sister Yamada Mie." Yamada Ichiro owns a home, 10 million yen in cash, and 300 shares of stock.

[0065] 1. Enter the information of the deceased

[0066] Yamada Ichiro enters his personal information and a list of assets (home real estate, cash, and stocks) through the terminal.

[0067] 2. Enter information about the heirs

[0068] Yamada Taro, Yamada Hanako, and Yamada Mie each enter their own information (name, age, relationship) and desired property division (for example, Yamada Taro wants real estate, Yamada Hanako wants cash, and Yamada Mie wants stocks) on their respective devices and send it to the server.

[0069] 3. Collecting and submitting opinions

[0070] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[0071] 4. Proposal generation and presentation using generative AI

[0072] The server uses a generative AI model to analyze the opinions of each heir and generate a proposal, such as "distribute real estate equally to Yamada Taro, and cash and stocks equally to Yamada Hanako and Yamada Mie," which it then presents to the deceased and heirs.

[0073] 5. Supporting the exchange of ideas

[0074] The heirs use the chat function to exchange opinions on the proposal.

[0075] 6. Generate and review the final proposal

[0076] Based on the record of the exchange of opinions, the server generates a final proposal and presents it to Yamada Ichiro.

[0077] 7. Generate the final version of the will

[0078] Based on the confirmed content, the server generates the final version of the will and sends a digital copy to Yamada Ichiro.

[0079] This system is expected to simplify inheritance procedures, prevent disputes between family members, and ensure that inheritance procedures are satisfactory to all.

[0080] The processing flow will be explained below.

[0081] Step 1:

[0082] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[0083] Step 2:

[0084] Server: Receives information entered by the deceased in real time and stores it in a database.

[0085] Step 3:

[0086] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[0087] Step 4:

[0088] Terminal (heir): Sends the information entered by the heir to the server.

[0089] Step 5:

[0090] Server: Receives the transmitted information and stores it in a database.

[0091] Step 6:

[0092] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form.

[0093] Step 7:

[0094] User (Heir): After each heir has completed filling out the opinion collection form, he or she presses the submit button.

[0095] Step 8:

[0096] Server: Receives collected opinion data and stores it in a database.

[0097] Step 9:

[0098] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model.

[0099] Step 10:

[0100] Server: The generative AI model analyzes the optimal asset distribution plan based on the opinions of each heir and generates specific proposals.

[0101] Step 11:

[0102] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[0103] Step 12:

[0104] Device (decedent and heir): The proposed content is displayed and the heirs can exchange opinions using the chat and comment functions.

[0105] Step 13:

[0106] Server: Records the opinions and comments exchanged sequentially and stores them in a database.

[0107] Step 14:

[0108] Server: Based on the records of the discussions and the initial proposals, generates a final proposal for the distribution of assets that everyone can agree on.

[0109] Step 15:

[0110] Server: Drafts the final proposal and sends it to the decedent's device.

[0111] Step 16:

[0112] Terminal (Decedent): Provides an interface for the decedent to review the draft of the final proposal and enter any necessary corrections.

[0113] Step 17:

[0114] User (Decedent): The decedent reviews the draft and enters any necessary corrections.

[0115] Step 18:

[0116] Server: Receives the revisions and refines the final proposal.

[0117] Step 19:

[0118] Server: Generates the final version of the will and asks the decedent for final confirmation.

[0119] Step 20:

[0120] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, presses the button to officially confirm the will.

[0121] Step 21:

[0122] Server: Prints the finalized will in a legally valid format and sends a digital copy to the decedent for safekeeping.

[0123] Example 1

[0124] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0125] Currently, inheritance procedures are extremely complicated, requiring the deceased and heirs to manually organize a large amount of information. In addition, disagreements and disputes often arise between heirs, making the preparation of a will time-consuming and labor-intensive. Furthermore, the process for properly reflecting the heirs' desired asset distribution is unclear, making it difficult to reach a final result that satisfies everyone. There is a need to solve these issues.

[0126] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0127] In this invention, the server includes a means for collecting information and opinion data of the deceased and the heirs, a means for embedding the generated proposals in a template and presenting it to the user, and a means for digitally signing the will and generating it in a legally valid format, thereby streamlining inheritance procedures, reducing disputes between heirs, and enabling the creation of a will in a format that satisfies all parties.

[0128] "Decedent" refers to the person who inherits property or assets.

[0129] "Heir" refers to a person who is entitled to inherit property or assets from a decedent.

[0130] "Means" refer to the methods or techniques used to achieve a particular goal.

[0131] "Server" refers to a computer system for receiving, processing, and storing data.

[0132] "Collected Data" refers to the information and opinions entered by the deceased and their heirs.

[0133] A "template" refers to a standard format for formally organizing generated proposals and information.

[0134] "Digital signature" refers to the process of verifying the legal validity of a will using electronic means.

[0135] A "generative AI model" refers to artificial intelligence technology that automatically generates optimal wealth distribution proposals based on collected data.

[0136] "Legal valid form" means that the will complies with legal requirements and is in a properly notarized form.

[0137] "Opinion collection form" refers to an electronic input interface through which heirs can enter their opinions and requests regarding the distribution of assets.

[0138] MODE FOR CARRYING OUT THE INVENTION

[0139] This invention is a system that utilizes generative AI models when a deceased person prepares a will, simplifying inheritance procedures and reducing disputes between family members. Its main components include a terminal for collecting and sending information about the deceased and heirs, a server that analyzes the data and generates optimal proposals, and an interface for presenting and modifying the generated proposals.

[0140] Hardware and software used

[0141] Hardware

[0142] Devices: PC, smartphone, tablet

[0143] Server: A computer server with a powerful processor and large memory capacity.

[0144] software

[0145] Database: SQL database (e.g., MySQL (registered trademark), PostgreSQL), NoSQL database (e.g., MongoDB)

[0146] Generative AI models: Models capable of natural language processing, such as OpenAI's GPT-3

[0147] Front-end: HTML, CSS, JavaScript (registered trademark), frameworks such as React

[0148] Backend: Server-side languages ​​such as Python and Node.js, web frameworks (e.g., Django and Express)

[0149] Program processing overview

[0150] 1. Enter the information of the deceased

[0151] Terminal (decedent): The decedent enters their name, age, list of assets, etc. into the input form on the terminal. The list of assets includes real estate, cash, stocks, etc.

[0152] Server: Receives information entered by the deceased in real time and stores it in a database.

[0153] 2. Enter information about the heirs

[0154] User (heir): Each heir enters their own information from their own device, such as their name, age, relationship to the deceased, and desired property division, and sends it to the server.

[0155] 3. Collecting and submitting opinions

[0156] Terminal (heir): Each heir enters their reasons for the desired distribution of assets and specific requests into the opinion collection form and submits it.

[0157] Server: Receives collected opinion data and stores it in a database.

[0158] 4. Proposal generation and presentation using generative AI

[0159] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model. An example of a prompt is "Please create the optimal inheritance proposal based on the following information."

[0160] Server: The AI ​​model analyzes the data and generates optimal asset distribution proposals. The proposals are embedded in templates and presented to the devices of the deceased and heirs.

[0161] 5. Supporting the exchange of ideas

[0162] Devices (decedent and heirs): Use an interface that provides chat and comment functions that allow for the exchange of opinions in real time.

[0163] 6. Generate and review the final proposal

[0164] Server: Generates a final proposal based on the records of the exchange of opinions between the heirs and provides an interface for the deceased to review and modify it.

[0165] 7. Generate the final version of the will

[0166] Server: Generates a legally valid final will based on the confirmed details, digitally signs the will, and sends a digital copy to the deceased.

[0167] Specific examples

[0168] Let's say the deceased is "Mr. A" and the heirs are "Mr. B, Mr. C, and Mr. D." Mr. A owns a home, 5 million yen in cash, and 200 shares of stock.

[0169] 1. Enter the information of the deceased

[0170] Mr. A enters his personal information and a list of his assets through the terminal.

[0171] 2. Enter information about the heirs

[0172] Mr. B, Mr. C, and Mr. D enter their information on their respective devices and send their desired property division to the server.

[0173] 3. Collecting and submitting opinions

[0174] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[0175] 4. Proposal generation and presentation using generative AI

[0176] The server uses a generative AI model to analyze the opinions of each heir and generate a proposal, for example, "Distribute the real estate to Mr. B, and the cash and stocks equally between Mr. C and Mr. D."

[0177] 5. Supporting the exchange of ideas

[0178] The heirs use the chat function to exchange opinions on the proposal.

[0179] 6. Generate and review the final proposal

[0180] Based on the records of the exchange of opinions, the server generates a final proposal and presents it to Mr. A.

[0181] 7. Generate the final version of the will

[0182] Based on the confirmed details, the server generates the final version of the will and sends a digital copy to Mr. A.

[0183] Using this system will streamline inheritance procedures, reduce disputes between family members, and enable the creation of wills that everyone can agree on.

[0184] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0185] Processing Steps

[0186] Step 1: Enter the deceased's information

[0187] Terminal (decedent): The decedent enters their name, age, and a list of assets into the terminal's input form. The entered information includes real estate, cash, stocks, etc.

[0188] Input: Name, age, property list

[0189] Data processing: Formatting data entered at the terminal and converting it into data packets.

[0190] Output: The formatted data packet is sent to the server.

[0191] Specific operation: The deceased person enters information into each field of the form and presses "Submit," which sends the data to the server.

[0192] Step 2: Enter heir information

[0193] User (heir): Each heir enters their name, age, relationship to the deceased, and desired property division details into an input form on the terminal.

[0194] Input: Name, age, relationship, desired property division

[0195] Data processing: Formatting data entered at the terminal and converting it into data packets.

[0196] Output: The formatted data packet is sent to the server.

[0197] Specific operation: The heir enters information into each field of the form and presses "Submit," which sends the data to the server.

[0198] Step 3: Collect and submit feedback

[0199] Terminal (heir): Each heir enters their reasons for the desired distribution of assets and specific requests into the opinion collection form and submits it.

[0200] Input: Reason for asset distribution, specific requests

[0201] Data processing: Organizing input data and formatting it for transmission.

[0202] Output: The opinion collection data is sent to the server.

[0203] Specific operation: The heir enters their opinions and requests, presses the "Submit Opinion" button and sends the data to the server.

[0204] Step 4: Proposal generation and presentation by generative AI

[0205] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model. An example prompt is "Please create the optimal inheritance proposal based on the following information."

[0206] Input: Information on the deceased and heirs, opinion data

[0207] Data calculation: AI analyzes input data and generates optimal wealth distribution proposals. The analysis is performed using machine learning algorithms.

[0208] Output: Generated proposals

[0209] How it works: The server retrieves the necessary information from the database and inputs it to the AI ​​generator along with the prompt text. The AI ​​analyzes it, generates suggestions, and embeds them in the template.

[0210] Step 5: Facilitate exchange of ideas

[0211] Devices (decedent and heirs): Use chat and comment functions to exchange opinions in real time.

[0212] Input: Chat message between heirs

[0213] Data processing: Formatting message data into a format that can be sent and received in real time.

[0214] Output: Messages shared between heirs

[0215] Specific operation: When each heir types a message in the chat box and sends it, the message is displayed to everyone in real time.

[0216] Step 6: Generate and review the final proposal

[0217] Server: Generates a final proposal based on the records of the exchange of opinions between the heirs and provides an interface for the deceased to review and modify it.

[0218] Input: Discussion notes, initial proposal

[0219] Data calculation: Integrate the initial proposal and the records of the discussion to generate the final proposal.

[0220] Output: Final proposal

[0221] Specific operation: The server retrieves the records of the discussions and the initial proposal from the database, generates a final proposal, and presents the proposal to the deceased's device, incorporating any modifications.

[0222] Step 7: Generate the final will

[0223] Server: Generates a legally valid final will based on the confirmed details, digitally signs the will, and sends a digital copy to the deceased.

[0224] Input: Confirmation details, signature data

[0225] Data operations: Formatting the finalization, generating a legally valid will and affidavit, and digitally signing it.

[0226] Output: Final will (digital copy)

[0227] Specific operation: The server generates a PDF will based on the finalized content, affixes a digital signature, and sends it to the deceased's device.

[0228] These processing steps will help manage the inheritance process efficiently and reduce disputes between family members.

[0229] (Application example 1)

[0230] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0231] This invention aims to solve the problems of disagreements among family members and the time it takes to select the optimal security system when selecting and installing a home security system. In particular, it aims to support decision-making by efficiently collecting and analyzing the opinions of family members with diverse security needs and automatically generating optimal security proposals.

[0232] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0233] In this invention, the server includes a means for the homeowner to input their own information, a means for other residents to input their respective information, a means for transmitting collected information and opinion data of the homeowner and other residents to the server, a means for generating an optimal home security proposal using a generative AI model, a means for presenting the generated proposal, a means for providing a chat function to support exchange of opinions between residents, a means for confirming and correcting the generated final proposal, and a means for generating a final home security system proposal, thereby enabling the homeowner and residents to efficiently exchange opinions and select and install an optimal home security system in a manner that satisfies all parties.

[0234] A "decedent" is a person who intends to distribute his or her property to his or her heirs.

[0235] An "heir" is a person who is entitled to receive a share of the decedent's assets.

[0236] A "homeowner" is a person who owns a home and selects and installs its security system.

[0237] An "occupant" is a person who lives in a home and has a say in security matters.

[0238] A "means for inputting information" is an interface through which a user inputs their data into the system.

[0239] "Means for transmitting collected information and opinion data to a server" refers to the techniques and processes for transmitting input data to a central server.

[0240] A "generative AI model" is an artificial intelligence algorithm and platform that analyzes collected data and generates optimal suggestions.

[0241] A "means for presenting suggestions" is an interface that visually or digitally displays generated suggestions to a user.

[0242] "Means to support the exchange of opinions" refers to a communication function that allows residents and heirs to exchange opinions with each other.

[0243] A "means for review and correction" is an interface that allows the user to review the generated suggestions and correct them if necessary.

[0244] A "final will" or "final residential security system proposal" means the official document or proposal that has been finally reviewed, amended, and finalized.

[0245] System Overview

[0246] This invention is a system that allows homeowners and their families (residents) to efficiently select and install security systems. The system mainly consists of a terminal for inputting information, a server for data analysis, and an interface for presenting and modifying generated proposals. The system utilizes a generative AI model to support the exchange of opinions among family members and provide optimal security system proposals.

[0247] Program processing and specific examples

[0248] Enter homeowner and resident information

[0249] The server includes a means for homeowners to input their own information and for other residents to input their information and security needs. For example, homeowners and residents use a smartphone app to input their name, age, home characteristics, desired security features, etc. The server collects this data and stores it in a database.

[0250] Gathering opinions

[0251] The server provides an opinion collection form for each resident to enter their detailed security needs and desired security features. Specific requests, such as "I want a camera installed at the entrance" or "I need intrusion detection at night," are sent to the server and stored in a database.

[0252] Generative AI generates security proposals

[0253] The server uses a generative AI model to analyze all data stored in the database. The generative AI model generates optimal security system proposals based on previous security system installations and real-time heir and homeowner data. The generated proposals are embedded into templates and presented to the homeowner's and resident's devices.

[0254] Supporting the exchange of opinions

[0255] The server provides a chat function to facilitate communication between residents. This interface allows residents to exchange ideas in real time and further discuss their needs and desires.

[0256] Generate and review the final proposal

[0257] The server generates a final security system proposal based on the records of the exchanges and the initial proposal. Homeowners and residents can use the interface to review the final proposal and make any necessary modifications. The reviewed and modified final proposal is then sent back to the server.

[0258] Generate a final security system proposal

[0259] After the final proposal has been reviewed and revised, the server generates a final security system proposal and sends a digital copy to the homeowner, allowing them to review the final configuration and officially finalize the security system.

[0260] Hardware and software used

[0261] Smartphone applications: Java (registered trademark) / Kotlin for ANDROID (registered trademark), Swift for iOS

[0262] Server-side scripting: Python, Flask

[0263] Database: PostgreSQL

[0264] Generative AI model: TENSORFLOW (registered trademark)

[0265] Chat system: WebSocket or Firebase

[0266] Specific examples

[0267] A homeowner named Jiro Tanaka needs a new security system. He and his family (wife Hanako Tanaka and eldest son Taro Tanaka) each input their security needs into a smartphone app, and the system suggests the best security solution.

[0268] Prompt Sentence Examples

[0269] Name of decedent: Jiro Tanaka

[0270] Decedent's age: 55

[0271] Housing Information:

[0272] Address: 1-2-3 Minami-Aoyama, Minato-ku, Tokyo

[0273] Area: 150 square meters

[0274] Features: 2-storey house with garden

[0275] Family:

[0276] Name: Hanako Tanaka

[0277] Relationship: Wife

[0278] Age: 50

[0279] Desired security features: Entrance camera, intrusion detection system

[0280] Name: Taro Tanaka

[0281] Relationship: Eldest son

[0282] Age: 20

[0283] Desired security features: Indoor cameras, smart alarms

[0284] Based on this prompt, the generative AI model will suggest the optimal security system for the Tanaka family.

[0285] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0286] Step 1:

[0287] Enter homeowner and resident information

[0288] The terminal provides an interface for homeowners to enter their information (name, age, home characteristics, desired security features).

[0289] Input: Homeowner's Information

[0290] Data processing / calculation: Organizing and formatting collected data

[0291] Output: Formatted data stored on the server

[0292] Step 2:

[0293] Entering resident information

[0294] The terminal provides an interface for other residents to enter their information (name, age, and home security needs).

[0295] Input: Resident information

[0296] Data processing / calculation: Organizing input data and integrating it with homeowner data

[0297] Output: Consolidated data stored on the server

[0298] Step 3:

[0299] Gathering opinions

[0300] The terminals provide a feedback form for each resident to enter detailed security needs and desired features.

[0301] Input: Opinions and wishes of each resident

[0302] Data processing / calculation: Organizing and classifying collected opinion data

[0303] Output: Organized and classified opinion data stored on the server

[0304] Step 4:

[0305] Generating security recommendations with generative AI models

[0306] The server inputs all stored data into a generative AI model for analysis.

[0307] Input: Stored homeowner and resident information, opinion data

[0308] Data processing / calculation: Data analysis using generative AI model (TensorFlow) and generation of optimal security proposals

[0309] Output: Generated security proposal

[0310] Step 5:

[0311] Presenting the proposal

[0312] The terminal provides an interface for presenting the generated security proposal to the homeowner and occupant.

[0313] Input: Generated security proposal

[0314] Data processing / calculation: Formatting of proposed data

[0315] Output: Proposals presented to homeowner and resident devices

[0316] Step 6:

[0317] Supporting the exchange of opinions

[0318] The terminals provide a chat function to facilitate the exchange of opinions between residents.

[0319] Input: Resident opinions and reactions

[0320] Data processing / calculation: Chat message storage and real-time display

[0321] Output: Real-time updated discussion log

[0322] Step 7:

[0323] Generate and review the final proposal

[0324] The server generates a new final proposal based on the record of the exchange of opinions and presents it to the homeowner and resident.

[0325] Input: Discussion log, initial proposal data

[0326] Data processing / calculation: Reanalyzing data and generating final proposals

[0327] Output: Final security proposal

[0328] Step 8:

[0329] Generate a final security system proposal

[0330] The server reviews and modifies the final proposal to generate a formal, final security system proposal and sends a digital copy to the homeowner.

[0331] Input: Reviewed and revised final proposal

[0332] Data processing / calculation: Final document generation

[0333] Output: A digital copy of the final security system proposal sent to the homeowner

[0334] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0335] MODE FOR CARRYING OUT THE INVENTION

[0336] System Overview

[0337] This invention is a system that simplifies inheritance procedures and reduces disputes between family members by utilizing generative AI and an emotion engine when the deceased prepares a will. Its main components include a terminal for collecting and sending information about users (decedents and heirs), a server that analyzes the data and generates optimal proposals, an interface for presenting and modifying the generated proposals, and an emotion engine that recognizes the user's emotions.

[0338] Program processing and specific examples

[0339] Enter information about the deceased

[0340] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[0341] Server: Receives information entered by the deceased in real time and stores it in a database.

[0342] Entering information about heirs

[0343] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[0344] Terminal (heir): Sends the information entered by the heir to the server.

[0345] Server: Receives the transmitted information and stores it in a database.

[0346] Collecting and submitting opinions

[0347] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form. This interface includes text boxes and options.

[0348] User (inheritor): Once you have finished entering information, press the send button.

[0349] Server: Receives collected opinion data and stores it in a database.

[0350] Server: Analyzes and records the user's emotions using the emotion engine based on the input information.

[0351] Proposal generation and presentation by generative AI

[0352] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into a generative AI model. The AI ​​model analyzes the data and generates optimal asset distribution proposals.

[0353] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[0354] Emotion engine analysis

[0355] Server: Analyzes the emotional state of each heir using an emotion engine and uses this information to adjust the proposal content. For example, if an heir is highly stressed or dissatisfied, the proposal will take those emotions into consideration.

[0356] Supporting the exchange of opinions

[0357] Terminal (decedent and heir): An interface that provides chat and comment functions for heirs to exchange opinions. This interface enables real-time communication.

[0358] Server: Uses an emotion engine to recognize user emotions in real time during the exchange of opinions and adjusts the suggestions based on the exchanged opinions.

[0359] Generate and review the final proposal

[0360] Server: Based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine, generates a final proposal for asset distribution that everyone can agree on.

[0361] Terminal (Decedent): The decedent provides an interface to review the final proposal and enter any necessary corrections.

[0362] Server: Receives the confirmed details and generates the final will.

[0363] Generate the final version of the will

[0364] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent.

[0365] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, the will is officially finalized.

[0366] Specific examples

[0367] Let's assume that the deceased is "Ichiro Suzuki" and the heirs are "eldest son Taro Suzuki," "eldest daughter Hanako Suzuki," and "younger sister Mie Suzuki." Ichiro Suzuki owns a home, 10 million yen in cash, and 300 shares of stock.

[0368] 1. Enter the information of the deceased

[0369] Suzuki Ichiro enters his personal information and a list of assets (home real estate, cash, and stocks) through the terminal.

[0370] 2. Enter information about the heirs

[0371] Suzuki Taro, Suzuki Hanako, and Suzuki Mie each enter their own information (name, age, relationship) and desired property division (for example, Suzuki Taro wants real estate, Suzuki Hanako wants cash, and Suzuki Mie wants stocks) on their respective devices and send it to the server.

[0372] 3. Collecting and submitting opinions

[0373] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[0374] 4. Analysis by Emotion Engine

[0375] When collecting opinions, the emotion engine analyzes the emotions from the heirs' input and stores them in a database.

[0376] 5. Proposal generation and presentation using generative AI

[0377] The server uses a generative AI model to analyze the opinions and emotions of each heir, and generates a proposal, for example, "Distribute the real estate to Suzuki Taro, and the cash and stocks equally between Suzuki Hanako and Suzuki Mie," which it then presents to the deceased and the heirs.

[0378] 6. Supporting the exchange of ideas

[0379] The heirs use the chat function to exchange opinions on the proposals. The emotion engine recognizes the emotions of each heir in real time and provides appropriate feedback to the server.

[0380] 7. Generate and review the final proposal

[0381] Based on the records of the exchange of opinions and the analysis results from the emotion engine, the server generates a final proposal and presents it to Suzuki Ichiro.

[0382] 8. Generate the final will

[0383] Based on the confirmed details, the server generates the final version of the will and sends a digital copy to Suzuki Ichiro.

[0384] This system will allow inheritance procedures to proceed while taking into consideration the feelings of the deceased and the heirs, and is expected to lead to a smoother inheritance that is satisfactory to all.

[0385] The processing flow will be explained below.

[0386] Step 1:

[0387] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[0388] Step 2:

[0389] Server: Receives information entered by the deceased in real time and stores it in a database.

[0390] Step 3:

[0391] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[0392] Step 4:

[0393] Terminal (heir): Sends the information entered by the heir to the server.

[0394] Step 5:

[0395] Server: Receives the transmitted information and stores it in a database.

[0396] Step 6:

[0397] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form.

[0398] Step 7:

[0399] User (Heir): After each heir has completed filling out the opinion collection form, he or she presses the submit button.

[0400] Step 8:

[0401] Server: Receives collected opinion data and stores it in a database.

[0402] Step 9:

[0403] Server: Analyzes and records the user's emotions using the emotion engine based on the input information.

[0404] Step 10:

[0405] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model.

[0406] Step 11:

[0407] Server: The generative AI model analyzes the optimal asset distribution plan based on the opinions of each heir and generates specific proposals.

[0408] Step 12:

[0409] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[0410] Step 13:

[0411] Device (decedent and heir): The proposed content is displayed and the heirs can exchange opinions using the chat and comment functions.

[0412] Step 14:

[0413] Server: Uses an emotion engine to recognize user emotions in real time during the exchange of opinions and adjusts the suggestions based on the exchanged opinions.

[0414] Step 15:

[0415] Server: Records the opinions and comments exchanged sequentially and stores them in a database.

[0416] Step 16:

[0417] Server: Based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine, generates a final proposal for asset distribution that everyone can agree on.

[0418] Step 17:

[0419] Server: Drafts the final proposal and sends it to the decedent's device.

[0420] Step 18:

[0421] Terminal (Decedent): Provides an interface for the decedent to review the draft of the final proposal and enter any necessary corrections.

[0422] Step 19:

[0423] User (Decedent): The decedent reviews the draft and enters any necessary corrections.

[0424] Step 20:

[0425] Server: Receives the revisions and refines the final proposal.

[0426] Step 21:

[0427] Server: Generates the final version of the will and asks the decedent for final confirmation.

[0428] Step 22:

[0429] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, presses the button to officially confirm the will.

[0430] Step 23:

[0431] Server: Prints the finalized will in a legally valid format and sends a digital copy to the decedent for safekeeping.

[0432] Example 2

[0433] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0434] Conventional inheritance procedures require the gathering of a great deal of information and the exchange of opinions between the deceased and the heirs, resulting in a time-consuming and labor-intensive process. Furthermore, emotional conflicts and differences of opinion often arise, potentially leading to disputes between family members. Therefore, there was a need for a system that could smoothly proceed with inheritance procedures while taking into account the emotional state of the family members.

[0435] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0436] In this invention, the server includes a means for collecting and transmitting information and opinion data of the deceased and the heirs, a means including an emotion engine for analyzing the emotion data of each heir, and a means for adjusting the proposal content using a generative AI model based on the emotional state, thereby making it possible to generate and adjust optimal property distribution proposals that reflect the opinions and wishes of each heir while minimizing emotional conflicts.

[0437] "Decedent" refers to an individual who dies and leaves behind an estate.

[0438] "Heir" refers to any person or entity entitled to receive the estate of a decedent.

[0439] "Collected information" refers to personal data and opinion data entered by the deceased and their heirs.

[0440] "Server" refers to a computer system used to store and process collected information.

[0441] "Generative AI model" refers to algorithms or software that use artificial intelligence techniques to generate optimal wealth distribution proposals.

[0442] An "emotion engine" refers to software or algorithms that analyze user input data and identify its emotions.

[0443] An "opinion collection form" refers to an interface that allows heirs to input their opinions and wishes.

[0444] "Final proposal" refers to the optimal asset distribution proposal generated based on the collected information and analysis results.

[0445] A "will" is a legally binding document that expresses the final wishes of the deceased.

[0446] "Device" refers to an electronic device used by the decedent and his / her heirs to enter information.

[0447] MODE FOR CARRYING OUT THE INVENTION

[0448] System Overview

[0449] This invention is a system that simplifies inheritance procedures and reduces disputes between family members by utilizing generative AI and an emotion engine when the deceased prepares a will. The main components include a terminal for collecting information on users (decedents and heirs), a server that analyzes the data and generates optimal proposals, an interface for presenting and modifying the generated proposals, and an emotion engine that recognizes the user's emotions.

[0450] System configuration

[0451] The system includes the following major components:

[0452] 1. Device: An electronic device on which the deceased and the heirs enter their information and opinions. Examples include personal computers (PCs), tablets, and smartphones. A dedicated application runs on the device, allowing the necessary data to be entered.

[0453] 2. Server: A computer system for receiving, storing, and analyzing information sent by the deceased and the heirs. This server is equipped with a database for storing large amounts of data, a generative AI model for analyzing information, and an emotion engine for recognizing user emotions.

[0454] 3. Generative AI model: Software using artificial intelligence technology installed on a server that analyzes input data from the deceased and heirs and generates optimal asset distribution proposals.

[0455] 4. Emotion engine: Software installed on the server analyzes emotions from text data entered by the user, and the generative AI model adjusts suggestions based on that data.

[0456] Program processing flow

[0457] Enter information about the deceased

[0458] Device (decedent): The decedent launches the dedicated application and enters information such as their name, age, and a list of assets (real estate, cash, stocks, etc.). Specifically, they enter text into each field and press the "Send" button.

[0459] Server: Receives the information entered by the deceased in real time, encrypts it, and stores it in the database. Specifically, it receives HTTP requests and stores the information in JSON format.

[0460] Entering information about heirs

[0461] Users (heirs): Each heir launches a dedicated application on their own device and enters their name, age, relationship to the deceased, and desired property distribution. Specifically, they enter text into each field and press the "Send" button.

[0462] Terminal (inheritor): Sends the information entered by the inheritor to the server. Specifically, it sends an HTTP POST request to the server.

[0463] Server: Receives the transmitted information, encrypts it, and stores it in a database, specifically by parsing the information and inserting it into a SQL database.

[0464] Specific examples

[0465] Let's say the deceased is "Mr. A" and the heirs are "Mr. B," "Mr. C," and "Mr. D." Mr. A owns a home, 10 million yen in cash, and 300 shares of stock.

[0466] 1. Enter the decedent's information:

[0467] Mr. A enters his personal information and a list of assets (home real estate, cash, stocks) through the terminal and sends it. The server receives this and stores it in the database.

[0468] 2. Enter the heir information:

[0469] Mr. B, Mr. C, and Mr. D each enter their own information (name, age, relationship) and desired property division (e.g. Mr. B wants real estate, Mr. C wants cash, Mr. D wants stocks) into their terminals and send it to the server.

[0470] 3. Collecting and submitting opinions:

[0471] Each heir enters their desired reasons for the distribution of assets into an opinion collection form and submits it. The server receives this and analyzes it using an emotion engine.

[0472] 4. Proposal generation and presentation by generative AI:

[0473] The server uses a generative AI model to generate proposals from the input information, such as "distribute real estate to Mr. B, and cash and stocks equally between Mr. C and Mr. D," and presents them to each device.

[0474] Prompt Sentence Examples

[0475] "Please provide optimal asset distribution proposals based on each heir's wishes and emotional data."

[0476] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0477] Step 1:

[0478] Enter information about the deceased

[0479] Terminal (decedent): The decedent launches the dedicated application and enters their name, age, and asset list (real estate, cash, stocks, etc.). Enter text in each field and press the "Send" button.

[0480] Input: Name of decedent, age, and list of assets.

[0481] Server: Receives information entered by the deceased in real time, encrypts it, and stores it in the database. Receives HTTP requests and stores the information in JSON format.

[0482] Output: The encrypted decedent's information is stored in the database.

[0483] Step 2:

[0484] Entering information about heirs

[0485] Users (heirs): Each heir launches the dedicated application on their own device and enters their name, age, relationship to the deceased, and desired property division. They enter text into each field and press the "Send" button.

[0486] Input: Name of heir, age, relationship, and desired division of assets.

[0487] Terminal (inheritor): Sends the information entered by the inheritor to the server by sending an HTTP POST request to the server.

[0488] Output: The heir's information is sent to the server.

[0489] Server: Receives the transmitted information, encrypts it and stores it in a database. Parses the information and inserts it into a SQL database.

[0490] Output: Encrypted heir information is stored in the database.

[0491] Step 3:

[0492] Collecting and submitting opinions

[0493] Terminal (Heir): Each heir enters the reasons for the desired distribution of assets and specific requests through an opinion collection form. This interface includes text boxes and options. Then, the heir presses the "Submit" button.

[0494] Input: The opinions and wishes of the heirs.

[0495] User (inheritor): After completing the input, press the submit button. The form contents are confirmed and an HTTP POST request is sent to the server.

[0496] Output: The heir's opinion is sent to the server.

[0497] Server: Receives collected opinion data, encrypts it and stores it in a database. Analyzes the opinion data and stores it in a database.

[0498] Output: Encrypted opinion data is stored in a database.

[0499] Server: Sends input information to the emotion engine and analyzes the user's emotions. Natural language processing technology is used to analyze the text and generate emotion data.

[0500] Output: Emotion data is generated and stored in a database.

[0501] Step 4:

[0502] Proposal generation and presentation by generative AI

[0503] Server: Collects information and opinion data of the deceased and heirs stored in the database and inputs it into the generative AI model. Generates prompt sentences and sends them to the AI ​​model.

[0504] Input: Decedent and heir information and opinion data.

[0505] Server: Generates optimal asset distribution proposals based on the analysis results of the AI ​​model. The proposals are embedded in templates.

[0506] Output: A wealth distribution proposal is generated.

[0507] Server: Sends the generated proposal to the devices of the deceased and the heir. Converts the proposal content into HTML format and sends it to the device as an HTTP response.

[0508] Output: Suggestions are displayed on the terminal.

[0509] Step 5:

[0510] Emotion engine analysis

[0511] Server: Analyzes each heir's emotional state using an emotion engine to help adjust the proposal. Reanalyzes the emotional data and reflects it in the proposal.

[0512] Input: sentiment data, wealth distribution proposal.

[0513] Server: If there are heirs who are stressed or dissatisfied, we will make proposals that take their feelings into consideration. We will adjust the proposal content more flexibly.

[0514] Output: Emotion-sensitive suggestions are generated.

[0515] Step 6:

[0516] Supporting the exchange of opinions

[0517] Terminal (decedent and heir): An interface is displayed that provides chat and comment functions for heirs to exchange opinions. Each person enters a comment and presses the "Send" button.

[0518] Input: Comments and opinions.

[0519] Server: When an opinion is sent, receive the chat content and save it in the database. Analyze the chat message and add it to the database.

[0520] Output: The chat transcript is saved in a database.

[0521] Server: Analyzes user emotions in real time during the exchange of opinions using an emotion engine and adjusts the content of suggestions based on the exchanged opinions. Dynamically adjusts the content of suggestions using emotion data.

[0522] Output: Real-time tailored recommendations are generated.

[0523] Step 7:

[0524] Generate and review the final proposal

[0525] Server: Generates a final proposal for property distribution that everyone can agree on based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine. Past opinions and emotion data are integrated to generate the optimal proposal.

[0526] Input: Discussion transcript, initial proposal, sentiment data.

[0527] Server: Embeds the final proposal into a template and sends it to the deceased's and heir's devices.

[0528] Output: A final proposal is generated and displayed on the terminal.

[0529] Terminal (decedent): The decedent provides an interface for reviewing the final proposal and making any necessary corrections. After reviewing the proposal and making any necessary corrections, the decedent presses the "Final" button.

[0530] Input: Review and revise the final proposal.

[0531] Output: The final proposal is confirmed and saved in the database.

[0532] Server: Receives the finalized content and generates the final will. Legalizes the final proposal and digitally signs it.

[0533] Step 8:

[0534] Generate the final version of the will

[0535] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent. Generates the final will in PDF format and sends it over a secure communication channel.

[0536] Input: Final confirmed proposal.

[0537] Output: The final will is generated in digital format.

[0538] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, officially confirms the will. He / she digitally signs it and presses the "Confirm" button.

[0539] Output: A final, legally valid will is confirmed.

[0540] (Application example 2)

[0541] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0542] When it comes to business succession, it can be difficult to resolve differences of opinion and emotional conflicts that arise between the successor and the person being inherited, and to ensure a smooth succession process. Furthermore, succession plans that do not take emotions into consideration can cause dissatisfaction and stress for the successor, resulting in an incomplete succession. It is necessary to solve this problem and realize a business succession in a way that satisfies all parties involved.

[0543] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0544] In this invention, the server includes a means for inputting and collecting information for business succession, a means for proposing an optimal succession plan using a generative AI and an emotion engine, and a means for recognizing the emotional states of the successor and predecessor in real time and adjusting the content of the proposal. This makes it possible to minimize emotional conflicts during business succession and to smoothly proceed with the succession process.

[0545] A "decedent" is a person who leaves an inheritance.

[0546] An "heir" is a person who is entitled to receive an inheritance.

[0547] A "server" is a computer system that stores and analyzes collected information and runs generative AI and emotion engines.

[0548] "Generative AI" is artificial intelligence that generates optimal asset distribution and business succession plans based on collected data.

[0549] An "emotion engine" is a system that analyzes a user's emotional state from input opinions and information.

[0550] A "succession plan" is a plan for transferring the business of a predecessor to a successor.

[0551] The "opinion collection form" is an interface that allows heirs and successors to input their opinions and wishes.

[0552] "Emotional state" refers to the emotional state when a user expresses their opinion or wish.

[0553] A "prompt" is a document that provides instructions to a generative AI model.

[0554] The present invention is a system for smoothly carrying out business succession between the deceased and the heirs. The system includes a series of steps in which the deceased and the heirs input information, collect and analyze it, and generate an optimal succession plan.

[0555] System configuration

[0556] The system includes the following main components:

[0557] 1. A device for the deceased and the heirs to enter information

[0558] 2. A server that analyzes the collected information and generates recommendations

[0559] 3. An interface for viewing and modifying suggestions

[0560] 4. Emotion engine that analyzes user emotions

[0561] Program processing

[0562] The server assists in the business succession process through the following processes:

[0563] 1. Information input and collection:

[0564] The deceased and the heirs enter their personal information on their respective devices, including their name, age, list of assets, and desired distribution of assets.

[0565] The server receives this information in real time and stores it in a database.

[0566] 2. Opinion collection and sentiment analysis:

[0567] Each heir enters their reasons for wanting to distribute assets and their specific requests through an opinion collection form. The data is sent to a server, where an emotion engine analyzes each heir's emotional state.

[0568] The analyzed emotion data is stored in a database and used for subsequent suggestion generation.

[0569] 3. Proposal generation:

[0570] Based on the collected information and analysis results, the server uses a generative AI model to generate the optimal business succession plan.

[0571] The generated proposals reflect the feelings and wishes of each heir and are embedded in templates and presented to the deceased and heirs.

[0572] Hardware and software used

[0573] Hardware: Smartphones, tablets (devices)

[0574] Server: Cloud server (AWS (registered trademark), GCP, etc.)

[0575] Software: Python, Flask (used as an API server), generative AI model (based on GPT-4 (registered trademark))

[0576] Emotion Engine: Emotion Analysis Tool

[0577] Specific examples

[0578] Next, we will show some specific examples.

[0579] Enter information

[0580] The decedent (shop owner) uses their own device to enter the following information:

[0581] Name of decedent:〇〇, Ichiro

[0582] Age: 55

[0583] Assets: Shop (XX Shop), Cash: 20 million yen

[0584] Enter heir information

[0585] Each heir enters the following information:

[0586] Heir 1 (son, Taro): Name, age, relationship, desired distribution of assets

[0587] Heir 2 (daughter, Hanako): Name, age, relationship, desired distribution of assets

[0588] Gathering opinions

[0589] The heirs enter the following opinions:

[0590] Taro: I want to be involved in running a store.

[0591] Hanako: I need cash.

[0592] Emotion analysis

[0593] The sentiment engine analyzes the input opinions and stores the results.

[0594] Proposal generation

[0595] The server uses a generative AI model to generate the optimal business succession plan and presents it to the deceased.

[0596] Prompt Sentence Examples

[0597] Name of deceased: XX, Ichiro, Age: 55, Assets: XX Store (store), Cash: 20 million yen

[0598] Heir 1: Name: Taro, Age: 30, Relationship: Son, Hope: Want to be involved in store management

[0599] Heir 2: Name: Hanako, Age: 25, Relationship: Daughter, Need: Cash

[0600] Emotional analysis results: 〇〇Taro (confidence), 〇〇Hanako (anxiety)

[0601] Use these to generate an appropriate estate succession plan.

[0602] This generates an optimal business succession plan that takes into account the opinions and feelings of the deceased and the heirs.

[0603] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0604] Step 1:

[0605] The deceased enters their own information.

[0606] input

[0607] The deceased person enters their name, age, and list of assets (real estate, cash, etc.) into the terminal.

[0608] Data Processing

[0609] The terminal converts the input information into a format and sends it to the server.

[0610] output

[0611] The server stores the received information in a database.

[0612] Step 2:

[0613] The heirs enter their respective information.

[0614] input

[0615] The heirs enter information such as their name, age, relationship, and desired distribution of assets into the terminal.

[0616] Data Processing

[0617] The terminal converts the input information into a format and sends it to the server.

[0618] output

[0619] The server stores the received information in a database.

[0620] Step 3:

[0621] The heirs enter their desired reasons for asset distribution and specific requests into the opinion collection form.

[0622] input

[0623] The heirs enter their wishes into the opinion collection form and press the submit button.

[0624] Data Processing

[0625] The terminal formats the input opinion data and transmits it to the server.

[0626] output

[0627] The server stores the opinion data in a database.

[0628] Step 4:

[0629] Analyze user emotions using an emotion engine.

[0630] input

[0631] The server obtains the opinion data of the heirs from the database.

[0632] Data Calculation

[0633] An emotion engine analyzes the opinion data to identify the emotional state of each heir.

[0634] output

[0635] The analysis results are saved in a database.

[0636] Step 5:

[0637] The server uses a generative AI model to generate an optimal succession plan.

[0638] input

[0639] The server retrieves information about the deceased and the heirs and the results of emotion analysis from the database.

[0640] Data Calculation

[0641] The generative AI model generates prompt statements based on the acquired data, analyzes them, and generates the optimal succession plan.

[0642] output

[0643] The generated succession plan is stored in a database and presented to the terminals of the deceased and the heirs.

[0644] Step 6:

[0645] The deceased and their heirs will review the succession plan and make any necessary amendments.

[0646] input

[0647] The decedent and heirs review the proposed succession plan and enter any amendments.

[0648] Data Processing

[0649] The terminal formats the modified content and sends it to the server.

[0650] output

[0651] The server receives the revised information and updates the final succession plan.

[0652] Step 7:

[0653] Generate a final will based on your final succession plan.

[0654] input

[0655] The server obtains the final version of the succession plan data.

[0656] Data Calculation

[0657] The server converts the data into a legally valid format and generates the will.

[0658] output

[0659] The server sends the generated will to the deceased's terminal.

[0660] The above steps will ensure that the business succession proceeds smoothly while taking into consideration emotions and opinions.

[0661] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0662] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0663] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0664] [Second embodiment]

[0665] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0666] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0667] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0668] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0669] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0670] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0671] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0672] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0673] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0674] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0675] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0676] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0677] MODE FOR CARRYING OUT THE INVENTION

[0678] System Overview

[0679] This invention is a system that uses generative AI when a deceased person prepares a will to simplify inheritance procedures and reduce disputes between family members. Its main components include a terminal for collecting and sending information about users (decedents and heirs), a server that analyzes the data and generates optimal proposals, and an interface for presenting and modifying the generated proposals.

[0680] Program processing and specific examples

[0681] Enter information about the deceased

[0682] Terminal (Decedent): The decedent enters information such as their name, age, and a list of assets, including real estate, cash, stocks, etc.

[0683] Server: Receives information entered by the deceased in real time and stores it in a database.

[0684] Entering information about heirs

[0685] User (heir): Each heir enters their own information from their own device, such as their name, age, relationship to the deceased, and desired distribution of assets.

[0686] Terminal (Heir): When the heir finishes entering information, it is sent to the server.

[0687] Server: Receives the transmitted information and stores it in a database.

[0688] Collecting and submitting opinions

[0689] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form. This interface includes text boxes and options.

[0690] User (inheritor): Once you have finished entering information, press the send button.

[0691] Server: Receives collected opinion data and stores it in a database.

[0692] Proposal generation and presentation by generative AI

[0693] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into a generative AI model. The AI ​​model analyzes the data and generates optimal asset distribution proposals.

[0694] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[0695] Supporting the exchange of opinions

[0696] Terminal (decedent and heir): An interface that provides chat and comment functions for heirs to exchange opinions. This interface enables real-time communication.

[0697] Generate and review the final proposal

[0698] Server: Generates a final asset distribution proposal based on the records of the exchange of opinions and the initial proposal.

[0699] Terminal (Decedent): Provides an interface for the decedent to review the final proposal and enter any necessary corrections.

[0700] Server: Receives the confirmed details and generates the final will.

[0701] Generate the final version of the will

[0702] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent.

[0703] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, the will is officially finalized.

[0704] Specific examples

[0705] Let's consider the case where the deceased is "Yamada Ichiro" and the heirs are "eldest son Yamada Taro," "eldest daughter Yamada Hanako," and "younger sister Yamada Mie." Yamada Ichiro owns a home, 10 million yen in cash, and 300 shares of stock.

[0706] 1. Enter the information of the deceased

[0707] Yamada Ichiro enters his personal information and a list of assets (home real estate, cash, and stocks) through the terminal.

[0708] 2. Enter information about the heirs

[0709] Yamada Taro, Yamada Hanako, and Yamada Mie each enter their own information (name, age, relationship) and desired property division (for example, Yamada Taro wants real estate, Yamada Hanako wants cash, and Yamada Mie wants stocks) on their respective devices and send it to the server.

[0710] 3. Collecting and submitting opinions

[0711] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[0712] 4. Proposal generation and presentation using generative AI

[0713] The server uses a generative AI model to analyze the opinions of each heir and generate a proposal, such as "distribute real estate equally to Yamada Taro, and cash and stocks equally to Yamada Hanako and Yamada Mie," which it then presents to the deceased and heirs.

[0714] 5. Supporting the exchange of ideas

[0715] The heirs use the chat function to exchange opinions on the proposal.

[0716] 6. Generate and review the final proposal

[0717] Based on the record of the exchange of opinions, the server generates a final proposal and presents it to Yamada Ichiro.

[0718] 7. Generate the final version of the will

[0719] Based on the confirmed content, the server generates the final version of the will and sends a digital copy to Yamada Ichiro.

[0720] This system is expected to simplify inheritance procedures, prevent disputes between family members, and ensure that inheritance procedures are satisfactory to all.

[0721] The processing flow will be explained below.

[0722] Step 1:

[0723] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[0724] Step 2:

[0725] Server: Receives information entered by the deceased in real time and stores it in a database.

[0726] Step 3:

[0727] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[0728] Step 4:

[0729] Terminal (heir): Sends the information entered by the heir to the server.

[0730] Step 5:

[0731] Server: Receives the transmitted information and stores it in a database.

[0732] Step 6:

[0733] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form.

[0734] Step 7:

[0735] User (Heir): After each heir has completed filling out the opinion collection form, he or she presses the submit button.

[0736] Step 8:

[0737] Server: Receives collected opinion data and stores it in a database.

[0738] Step 9:

[0739] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model.

[0740] Step 10:

[0741] Server: The generative AI model analyzes the optimal asset distribution plan based on the opinions of each heir and generates specific proposals.

[0742] Step 11:

[0743] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[0744] Step 12:

[0745] Device (decedent and heir): The proposed content is displayed and the heirs can exchange opinions using the chat and comment functions.

[0746] Step 13:

[0747] Server: Records the opinions and comments exchanged sequentially and stores them in a database.

[0748] Step 14:

[0749] Server: Based on the records of the discussions and the initial proposals, generates a final proposal for the distribution of assets that everyone can agree on.

[0750] Step 15:

[0751] Server: Drafts the final proposal and sends it to the decedent's device.

[0752] Step 16:

[0753] Terminal (Decedent): Provides an interface for the decedent to review the draft of the final proposal and enter any necessary corrections.

[0754] Step 17:

[0755] User (Decedent): The decedent reviews the draft and enters any necessary corrections.

[0756] Step 18:

[0757] Server: Receives the revisions and refines the final proposal.

[0758] Step 19:

[0759] Server: Generates the final version of the will and asks the decedent for final confirmation.

[0760] Step 20:

[0761] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, presses the button to officially confirm the will.

[0762] Step 21:

[0763] Server: Prints the finalized will in a legally valid format and sends a digital copy to the decedent for safekeeping.

[0764] Example 1

[0765] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0766] Currently, inheritance procedures are extremely complicated, requiring the deceased and heirs to manually organize a large amount of information. In addition, disagreements and disputes often arise between heirs, making the preparation of a will time-consuming and labor-intensive. Furthermore, the process for properly reflecting the heirs' desired asset distribution is unclear, making it difficult to reach a final result that satisfies everyone. There is a need to solve these issues.

[0767] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0768] In this invention, the server includes a means for collecting information and opinion data of the deceased and the heirs, a means for embedding the generated proposals in a template and presenting it to the user, and a means for digitally signing the will and generating it in a legally valid format, thereby streamlining inheritance procedures, reducing disputes between heirs, and enabling the creation of a will in a format that satisfies all parties.

[0769] "Decedent" refers to the person who inherits property or assets.

[0770] "Heir" refers to a person who is entitled to inherit property or assets from a decedent.

[0771] "Means" refer to the methods or techniques used to achieve a particular goal.

[0772] "Server" refers to a computer system for receiving, processing, and storing data.

[0773] "Collected Data" refers to the information and opinions entered by the deceased and their heirs.

[0774] A "template" refers to a standard format for formally organizing generated proposals and information.

[0775] "Digital signature" refers to the process of verifying the legal validity of a will using electronic means.

[0776] A "generative AI model" refers to artificial intelligence technology that automatically generates optimal wealth distribution proposals based on collected data.

[0777] "Legal valid form" means that the will complies with legal requirements and is in a properly notarized form.

[0778] "Opinion collection form" refers to an electronic input interface through which heirs can enter their opinions and requests regarding the distribution of assets.

[0779] MODE FOR CARRYING OUT THE INVENTION

[0780] This invention is a system that utilizes generative AI models when a deceased person prepares a will, simplifying inheritance procedures and reducing disputes between family members. Its main components include a terminal for collecting and sending information about the deceased and heirs, a server that analyzes the data and generates optimal proposals, and an interface for presenting and modifying the generated proposals.

[0781] Hardware and software used

[0782] Hardware

[0783] Devices: PC, smartphone, tablet

[0784] Server: A computer server with a powerful processor and large memory capacity.

[0785] software

[0786] Database: SQL database (e.g. MySQL, PostgreSQL), NoSQL database (e.g. MongoDB)

[0787] Generative AI models: models capable of natural language processing, such as OpenAI's GPT-3

[0788] Front-end: HTML, CSS, JavaScript, frameworks like React

[0789] Backend: Server-side languages ​​such as Python and Node.js, web frameworks (e.g., Django and Express)

[0790] Program processing overview

[0791] 1. Enter the information of the deceased

[0792] Terminal (decedent): The decedent enters their name, age, list of assets, etc. into the input form on the terminal. The list of assets includes real estate, cash, stocks, etc.

[0793] Server: Receives information entered by the deceased in real time and stores it in a database.

[0794] 2. Enter information about the heirs

[0795] User (heir): Each heir enters their own information from their own device, such as their name, age, relationship to the deceased, and desired property division, and sends it to the server.

[0796] 3. Collecting and submitting opinions

[0797] Terminal (heir): Each heir enters their reasons for the desired distribution of assets and specific requests into the opinion collection form and submits it.

[0798] Server: Receives collected opinion data and stores it in a database.

[0799] 4. Proposal generation and presentation using generative AI

[0800] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model. An example of a prompt is "Please create the optimal inheritance proposal based on the following information."

[0801] Server: The AI ​​model analyzes the data and generates optimal asset distribution proposals. The proposals are embedded in templates and presented to the devices of the deceased and heirs.

[0802] 5. Supporting the exchange of ideas

[0803] Devices (decedent and heirs): Use an interface that provides chat and comment functions that allow for the exchange of opinions in real time.

[0804] 6. Generate and review the final proposal

[0805] Server: Generates a final proposal based on the records of the exchange of opinions between the heirs and provides an interface for the deceased to review and modify it.

[0806] 7. Generate the final version of the will

[0807] Server: Generates a legally valid final will based on the confirmed details, digitally signs the will, and sends a digital copy to the deceased.

[0808] Specific examples

[0809] Let's say the deceased is "Mr. A" and the heirs are "Mr. B, Mr. C, and Mr. D." Mr. A owns a home, 5 million yen in cash, and 200 shares of stock.

[0810] 1. Enter the information of the deceased

[0811] Mr. A enters his personal information and a list of his assets through the terminal.

[0812] 2. Enter information about the heirs

[0813] Mr. B, Mr. C, and Mr. D enter their information on their respective devices and send their desired property division to the server.

[0814] 3. Collecting and submitting opinions

[0815] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[0816] 4. Proposal generation and presentation using generative AI

[0817] The server uses a generative AI model to analyze the opinions of each heir and generate a proposal, for example, "Distribute the real estate to Mr. B, and the cash and stocks equally between Mr. C and Mr. D."

[0818] 5. Supporting the exchange of ideas

[0819] The heirs use the chat function to exchange opinions on the proposal.

[0820] 6. Generate and review the final proposal

[0821] Based on the records of the exchange of opinions, the server generates a final proposal and presents it to Mr. A.

[0822] 7. Generate the final version of the will

[0823] Based on the confirmed details, the server generates the final version of the will and sends a digital copy to Mr. A.

[0824] Using this system will streamline inheritance procedures, reduce disputes between family members, and enable the creation of wills that everyone can agree on.

[0825] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0826] Processing Steps

[0827] Step 1: Enter the deceased's information

[0828] Terminal (decedent): The decedent enters their name, age, and a list of assets into the terminal's input form. The entered information includes real estate, cash, stocks, etc.

[0829] Input: Name, age, property list

[0830] Data processing: Formatting data entered at the terminal and converting it into data packets.

[0831] Output: The formatted data packet is sent to the server.

[0832] Specific operation: The deceased person enters information into each field of the form and presses "Submit," which sends the data to the server.

[0833] Step 2: Enter heir information

[0834] User (heir): Each heir enters their name, age, relationship to the deceased, and desired property division details into an input form on the terminal.

[0835] Input: Name, age, relationship, desired property division

[0836] Data processing: Formatting data entered at the terminal and converting it into data packets.

[0837] Output: The formatted data packet is sent to the server.

[0838] Specific operation: The heir enters information into each field of the form and presses "Submit," which sends the data to the server.

[0839] Step 3: Collect and submit feedback

[0840] Terminal (heir): Each heir enters their reasons for the desired distribution of assets and specific requests into the opinion collection form and submits it.

[0841] Input: Reason for asset distribution, specific requests

[0842] Data processing: Organizing input data and formatting it for transmission.

[0843] Output: The opinion collection data is sent to the server.

[0844] Specific operation: The heir enters their opinions and requests, presses the "Submit Opinion" button and sends the data to the server.

[0845] Step 4: Proposal generation and presentation by generative AI

[0846] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model. An example prompt is "Please create the optimal inheritance proposal based on the following information."

[0847] Input: Information on the deceased and heirs, opinion data

[0848] Data calculation: AI analyzes input data and generates optimal wealth distribution proposals. The analysis is performed using machine learning algorithms.

[0849] Output: Generated proposals

[0850] How it works: The server retrieves the necessary information from the database and inputs it to the AI ​​generator along with the prompt text. The AI ​​analyzes it, generates suggestions, and embeds them in the template.

[0851] Step 5: Facilitate exchange of ideas

[0852] Devices (decedent and heirs): Use chat and comment functions to exchange opinions in real time.

[0853] Input: Chat message between heirs

[0854] Data processing: Formatting message data into a format that can be sent and received in real time.

[0855] Output: Messages shared between heirs

[0856] Specific operation: When each heir types a message in the chat box and sends it, the message is displayed to everyone in real time.

[0857] Step 6: Generate and review the final proposal

[0858] Server: Generates a final proposal based on the records of the exchange of opinions between the heirs and provides an interface for the deceased to review and modify it.

[0859] Input: Discussion notes, initial proposal

[0860] Data calculation: Integrate the initial proposal and the records of the discussion to generate the final proposal.

[0861] Output: Final proposal

[0862] Specific operation: The server retrieves the records of the discussions and the initial proposal from the database, generates a final proposal, and presents the proposal to the deceased's device, incorporating any modifications.

[0863] Step 7: Generate the final will

[0864] Server: Generates a legally valid final will based on the confirmed details, digitally signs the will, and sends a digital copy to the deceased.

[0865] Input: Confirmation details, signature data

[0866] Data operations: Formatting the finalization, generating a legally valid will and affidavit, and digitally signing it.

[0867] Output: Final will (digital copy)

[0868] Specific operation: The server generates a PDF will based on the finalized content, affixes a digital signature, and sends it to the deceased's device.

[0869] These processing steps will help manage the inheritance process efficiently and reduce disputes between family members.

[0870] (Application example 1)

[0871] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0872] This invention aims to solve the problems of disagreements among family members and the time it takes to select the optimal security system when selecting and installing a home security system. In particular, it aims to support decision-making by efficiently collecting and analyzing the opinions of family members with diverse security needs and automatically generating optimal security proposals.

[0873] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0874] In this invention, the server includes a means for the homeowner to input their own information, a means for other residents to input their respective information, a means for transmitting collected information and opinion data of the homeowner and other residents to the server, a means for generating an optimal home security proposal using a generative AI model, a means for presenting the generated proposal, a means for providing a chat function to support exchange of opinions between residents, a means for confirming and correcting the generated final proposal, and a means for generating a final home security system proposal, thereby enabling the homeowner and residents to efficiently exchange opinions and select and install an optimal home security system in a manner that satisfies all parties.

[0875] A "decedent" is a person who intends to distribute his or her property to his or her heirs.

[0876] An "heir" is a person who is entitled to receive a share of the decedent's assets.

[0877] A "homeowner" is a person who owns a home and selects and installs its security system.

[0878] An "occupant" is a person who lives in a home and has a say in security matters.

[0879] A "means for inputting information" is an interface through which a user inputs their data into the system.

[0880] "Means for transmitting collected information and opinion data to a server" refers to the techniques and processes for transmitting input data to a central server.

[0881] A "generative AI model" is an artificial intelligence algorithm and platform that analyzes collected data and generates optimal suggestions.

[0882] A "means for presenting suggestions" is an interface that visually or digitally displays generated suggestions to a user.

[0883] "Means to support the exchange of opinions" refers to a communication function that allows residents and heirs to exchange opinions with each other.

[0884] A "means for review and correction" is an interface that allows the user to review the generated suggestions and correct them if necessary.

[0885] A "final will" or "final residential security system proposal" means the official document or proposal that has been finally reviewed, amended, and finalized.

[0886] System Overview

[0887] This invention is a system that allows homeowners and their families (residents) to efficiently select and install security systems. The system mainly consists of a terminal for inputting information, a server for data analysis, and an interface for presenting and modifying generated proposals. The system utilizes a generative AI model to support the exchange of opinions among family members and provide optimal security system proposals.

[0888] Program processing and specific examples

[0889] Enter homeowner and resident information

[0890] The server includes a means for homeowners to input their own information and for other residents to input their information and security needs. For example, homeowners and residents use a smartphone app to input their name, age, home characteristics, desired security features, etc. The server collects this data and stores it in a database.

[0891] Gathering opinions

[0892] The server provides an opinion collection form for each resident to enter their detailed security needs and desired security features. Specific requests, such as "I want a camera installed at the entrance" or "I need intrusion detection at night," are sent to the server and stored in a database.

[0893] Generative AI generates security proposals

[0894] The server uses a generative AI model to analyze all data stored in the database. The generative AI model generates optimal security system proposals based on previous security system installations and real-time heir and homeowner data. The generated proposals are embedded into templates and presented to the homeowner's and resident's devices.

[0895] Supporting the exchange of opinions

[0896] The server provides a chat function to facilitate communication between residents. This interface allows residents to exchange ideas in real time and further discuss their needs and desires.

[0897] Generate and review the final proposal

[0898] The server generates a final security system proposal based on the records of the exchanges and the initial proposal. Homeowners and residents can use the interface to review the final proposal and make any necessary modifications. The reviewed and modified final proposal is then sent back to the server.

[0899] Generate a final security system proposal

[0900] After the final proposal has been reviewed and revised, the server generates a final security system proposal and sends a digital copy to the homeowner, allowing them to review the final configuration and officially finalize the security system.

[0901] Hardware and software used

[0902] Smartphone applications: Java / Kotlin for Android, Swift for iOS

[0903] Server-side scripting: Python, Flask

[0904] Database: PostgreSQL

[0905] Generative AI model: TensorFlow

[0906] Chat system: WebSocket or Firebase

[0907] Specific examples

[0908] A homeowner named Jiro Tanaka needs a new security system. He and his family (wife Hanako Tanaka and eldest son Taro Tanaka) each input their security needs into a smartphone app, and the system suggests the best security solution.

[0909] Prompt Sentence Examples

[0910] Name of decedent: Jiro Tanaka

[0911] Decedent's age: 55

[0912] Housing Information:

[0913] Address: 1-2-3 Minami-Aoyama, Minato-ku, Tokyo

[0914] Area: 150 square meters

[0915] Features: 2-storey house with garden

[0916] Family:

[0917] Name: Hanako Tanaka

[0918] Relationship: Wife

[0919] Age: 50

[0920] Desired security features: Entrance camera, intrusion detection system

[0921] Name: Taro Tanaka

[0922] Relationship: Eldest son

[0923] Age: 20

[0924] Desired security features: Indoor cameras, smart alarms

[0925] Based on this prompt, the generative AI model will suggest the optimal security system for the Tanaka family.

[0926] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0927] Step 1:

[0928] Enter homeowner and resident information

[0929] The terminal provides an interface for homeowners to enter their information (name, age, home characteristics, desired security features).

[0930] Input: Homeowner's Information

[0931] Data processing / calculation: Organizing and formatting collected data

[0932] Output: Formatted data stored on the server

[0933] Step 2:

[0934] Entering resident information

[0935] The terminal provides an interface for other residents to enter their information (name, age, and home security needs).

[0936] Input: Resident information

[0937] Data processing / calculation: Organizing input data and integrating it with homeowner data

[0938] Output: Consolidated data stored on the server

[0939] Step 3:

[0940] Gathering opinions

[0941] The terminals provide a feedback form for each resident to enter detailed security needs and desired features.

[0942] Input: Opinions and wishes of each resident

[0943] Data processing / calculation: Organizing and classifying collected opinion data

[0944] Output: Organized and classified opinion data stored on the server

[0945] Step 4:

[0946] Generating security recommendations with generative AI models

[0947] The server inputs all stored data into a generative AI model for analysis.

[0948] Input: Stored homeowner and resident information, opinion data

[0949] Data processing / calculation: Data analysis using generative AI model (TensorFlow) and generation of optimal security proposals

[0950] Output: Generated security proposal

[0951] Step 5:

[0952] Presenting the proposal

[0953] The terminal provides an interface for presenting the generated security proposal to the homeowner and occupant.

[0954] Input: Generated security proposal

[0955] Data processing / calculation: Formatting of proposed data

[0956] Output: Proposals presented to homeowner and resident devices

[0957] Step 6:

[0958] Supporting the exchange of opinions

[0959] The terminals provide a chat function to facilitate the exchange of opinions between residents.

[0960] Input: Resident opinions and reactions

[0961] Data processing / calculation: Chat message storage and real-time display

[0962] Output: Real-time updated discussion log

[0963] Step 7:

[0964] Generate and review the final proposal

[0965] The server generates a new final proposal based on the record of the exchange of opinions and presents it to the homeowner and resident.

[0966] Input: Discussion log, initial proposal data

[0967] Data processing / calculation: Reanalyzing data and generating final proposals

[0968] Output: Final security proposal

[0969] Step 8:

[0970] Generate a final security system proposal

[0971] The server reviews and modifies the final proposal to generate a formal, final security system proposal and sends a digital copy to the homeowner.

[0972] Input: Reviewed and revised final proposal

[0973] Data processing / calculation: Final document generation

[0974] Output: A digital copy of the final security system proposal sent to the homeowner

[0975] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0976] MODE FOR CARRYING OUT THE INVENTION

[0977] System Overview

[0978] This invention is a system that simplifies inheritance procedures and reduces disputes between family members by utilizing generative AI and an emotion engine when the deceased prepares a will. Its main components include a terminal for collecting and sending information about users (decedents and heirs), a server that analyzes the data and generates optimal proposals, an interface for presenting and modifying the generated proposals, and an emotion engine that recognizes the user's emotions.

[0979] Program processing and specific examples

[0980] Enter information about the deceased

[0981] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[0982] Server: Receives information entered by the deceased in real time and stores it in a database.

[0983] Entering information about heirs

[0984] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[0985] Terminal (heir): Sends the information entered by the heir to the server.

[0986] Server: Receives the transmitted information and stores it in a database.

[0987] Collecting and submitting opinions

[0988] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form. This interface includes text boxes and options.

[0989] User (inheritor): Once you have finished entering information, press the send button.

[0990] Server: Receives collected opinion data and stores it in a database.

[0991] Server: Analyzes and records the user's emotions using the emotion engine based on the input information.

[0992] Proposal generation and presentation by generative AI

[0993] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into a generative AI model. The AI ​​model analyzes the data and generates optimal asset distribution proposals.

[0994] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[0995] Emotion engine analysis

[0996] Server: Analyzes the emotional state of each heir using an emotion engine and uses this information to adjust the proposal content. For example, if an heir is highly stressed or dissatisfied, the proposal will take those emotions into consideration.

[0997] Supporting the exchange of opinions

[0998] Terminal (decedent and heir): An interface that provides chat and comment functions for heirs to exchange opinions. This interface enables real-time communication.

[0999] Server: Uses an emotion engine to recognize user emotions in real time during the exchange of opinions and adjusts the suggestions based on the exchanged opinions.

[1000] Generate and review the final proposal

[1001] Server: Based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine, generates a final proposal for asset distribution that everyone can agree on.

[1002] Terminal (Decedent): The decedent provides an interface to review the final proposal and enter any necessary corrections.

[1003] Server: Receives the confirmed details and generates the final will.

[1004] Generate the final version of the will

[1005] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent.

[1006] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, the will is officially finalized.

[1007] Specific examples

[1008] Let's assume that the deceased is "Ichiro Suzuki" and the heirs are "eldest son Taro Suzuki," "eldest daughter Hanako Suzuki," and "younger sister Mie Suzuki." Ichiro Suzuki owns a home, 10 million yen in cash, and 300 shares of stock.

[1009] 1. Enter the information of the deceased

[1010] Suzuki Ichiro enters his personal information and a list of assets (home real estate, cash, and stocks) through the terminal.

[1011] 2. Enter information about the heirs

[1012] Suzuki Taro, Suzuki Hanako, and Suzuki Mie each enter their own information (name, age, relationship) and desired property division (for example, Suzuki Taro wants real estate, Suzuki Hanako wants cash, and Suzuki Mie wants stocks) on their respective devices and send it to the server.

[1013] 3. Collecting and submitting opinions

[1014] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[1015] 4. Analysis by Emotion Engine

[1016] When collecting opinions, the emotion engine analyzes the emotions from the heirs' input and stores them in a database.

[1017] 5. Proposal generation and presentation using generative AI

[1018] The server uses a generative AI model to analyze the opinions and emotions of each heir, and generates a proposal, for example, "Distribute the real estate to Suzuki Taro, and the cash and stocks equally between Suzuki Hanako and Suzuki Mie," which it then presents to the deceased and the heirs.

[1019] 6. Supporting the exchange of ideas

[1020] The heirs use the chat function to exchange opinions on the proposals. The emotion engine recognizes the emotions of each heir in real time and provides appropriate feedback to the server.

[1021] 7. Generate and review the final proposal

[1022] Based on the records of the exchange of opinions and the analysis results from the emotion engine, the server generates a final proposal and presents it to Suzuki Ichiro.

[1023] 8. Generate the final will

[1024] Based on the confirmed details, the server generates the final version of the will and sends a digital copy to Suzuki Ichiro.

[1025] This system will allow inheritance procedures to proceed while taking into consideration the feelings of the deceased and the heirs, and is expected to lead to a smoother inheritance that is satisfactory to all.

[1026] The processing flow will be explained below.

[1027] Step 1:

[1028] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[1029] Step 2:

[1030] Server: Receives information entered by the deceased in real time and stores it in a database.

[1031] Step 3:

[1032] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[1033] Step 4:

[1034] Terminal (heir): Sends the information entered by the heir to the server.

[1035] Step 5:

[1036] Server: Receives the transmitted information and stores it in a database.

[1037] Step 6:

[1038] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form.

[1039] Step 7:

[1040] User (Heir): After each heir has completed filling out the opinion collection form, he or she presses the submit button.

[1041] Step 8:

[1042] Server: Receives collected opinion data and stores it in a database.

[1043] Step 9:

[1044] Server: Analyzes and records the user's emotions using the emotion engine based on the input information.

[1045] Step 10:

[1046] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model.

[1047] Step 11:

[1048] Server: The generative AI model analyzes the optimal asset distribution plan based on the opinions of each heir and generates specific proposals.

[1049] Step 12:

[1050] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[1051] Step 13:

[1052] Device (decedent and heir): The proposed content is displayed and the heirs can exchange opinions using the chat and comment functions.

[1053] Step 14:

[1054] Server: Uses an emotion engine to recognize user emotions in real time during the exchange of opinions and adjusts the suggestions based on the exchanged opinions.

[1055] Step 15:

[1056] Server: Records the opinions and comments exchanged sequentially and stores them in a database.

[1057] Step 16:

[1058] Server: Based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine, generates a final proposal for asset distribution that everyone can agree on.

[1059] Step 17:

[1060] Server: Drafts the final proposal and sends it to the decedent's device.

[1061] Step 18:

[1062] Terminal (Decedent): Provides an interface for the decedent to review the draft of the final proposal and enter any necessary corrections.

[1063] Step 19:

[1064] User (Decedent): The decedent reviews the draft and enters any necessary corrections.

[1065] Step 20:

[1066] Server: Receives the revisions and refines the final proposal.

[1067] Step 21:

[1068] Server: Generates the final version of the will and asks the decedent for final confirmation.

[1069] Step 22:

[1070] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, presses the button to officially confirm the will.

[1071] Step 23:

[1072] Server: Prints the finalized will in a legally valid format and sends a digital copy to the decedent for safekeeping.

[1073] Example 2

[1074] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1075] Conventional inheritance procedures require the gathering of a great deal of information and the exchange of opinions between the deceased and the heirs, resulting in a time-consuming and labor-intensive process. Furthermore, emotional conflicts and differences of opinion often arise, potentially leading to disputes between family members. Therefore, there was a need for a system that could smoothly proceed with inheritance procedures while taking into account the emotional state of the family members.

[1076] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1077] In this invention, the server includes a means for collecting and transmitting information and opinion data of the deceased and the heirs, a means including an emotion engine for analyzing the emotion data of each heir, and a means for adjusting the proposal content using a generative AI model based on the emotional state, thereby making it possible to generate and adjust optimal property distribution proposals that reflect the opinions and wishes of each heir while minimizing emotional conflicts.

[1078] "Decedent" refers to an individual who dies and leaves behind an estate.

[1079] "Heir" refers to any person or entity entitled to receive the estate of a decedent.

[1080] "Collected information" refers to personal data and opinion data entered by the deceased and their heirs.

[1081] "Server" refers to a computer system used to store and process collected information.

[1082] "Generative AI model" refers to algorithms or software that use artificial intelligence techniques to generate optimal wealth distribution proposals.

[1083] An "emotion engine" refers to software or algorithms that analyze user input data and identify its emotions.

[1084] An "opinion collection form" refers to an interface that allows heirs to input their opinions and wishes.

[1085] "Final proposal" refers to the optimal asset distribution proposal generated based on the collected information and analysis results.

[1086] A "will" is a legally binding document that expresses the final wishes of the deceased.

[1087] "Device" refers to an electronic device used by the decedent and his / her heirs to enter information.

[1088] MODE FOR CARRYING OUT THE INVENTION

[1089] System Overview

[1090] This invention is a system that simplifies inheritance procedures and reduces disputes between family members by utilizing generative AI and an emotion engine when the deceased prepares a will. The main components include a terminal for collecting information on users (decedents and heirs), a server that analyzes the data and generates optimal proposals, an interface for presenting and modifying the generated proposals, and an emotion engine that recognizes the user's emotions.

[1091] System configuration

[1092] The system includes the following major components:

[1093] 1. Device: An electronic device on which the deceased and the heirs enter their information and opinions. Examples include personal computers (PCs), tablets, and smartphones. A dedicated application runs on the device, allowing the necessary data to be entered.

[1094] 2. Server: A computer system for receiving, storing, and analyzing information sent by the deceased and the heirs. This server is equipped with a database for storing large amounts of data, a generative AI model for analyzing information, and an emotion engine for recognizing user emotions.

[1095] 3. Generative AI model: Software using artificial intelligence technology installed on a server that analyzes input data from the deceased and heirs and generates optimal asset distribution proposals.

[1096] 4. Emotion engine: Software installed on the server analyzes emotions from text data entered by the user, and the generative AI model adjusts suggestions based on that data.

[1097] Program processing flow

[1098] Enter information about the deceased

[1099] Device (decedent): The decedent launches the dedicated application and enters information such as their name, age, and a list of assets (real estate, cash, stocks, etc.). Specifically, they enter text into each field and press the "Send" button.

[1100] Server: Receives the information entered by the deceased in real time, encrypts it, and stores it in the database. Specifically, it receives HTTP requests and stores the information in JSON format.

[1101] Entering information about heirs

[1102] Users (heirs): Each heir launches a dedicated application on their own device and enters their name, age, relationship to the deceased, and desired property distribution. Specifically, they enter text into each field and press the "Send" button.

[1103] Terminal (inheritor): Sends the information entered by the inheritor to the server. Specifically, it sends an HTTP POST request to the server.

[1104] Server: Receives the transmitted information, encrypts it, and stores it in a database, specifically by parsing the information and inserting it into a SQL database.

[1105] Specific examples

[1106] Let's say the deceased is "Mr. A" and the heirs are "Mr. B," "Mr. C," and "Mr. D." Mr. A owns a home, 10 million yen in cash, and 300 shares of stock.

[1107] 1. Enter the decedent's information:

[1108] Mr. A enters his personal information and a list of assets (home real estate, cash, stocks) through the terminal and sends it. The server receives this and stores it in the database.

[1109] 2. Enter the heir information:

[1110] Mr. B, Mr. C, and Mr. D each enter their own information (name, age, relationship) and desired property division (e.g. Mr. B wants real estate, Mr. C wants cash, Mr. D wants stocks) into their terminals and send it to the server.

[1111] 3. Collecting and submitting opinions:

[1112] Each heir enters their desired reasons for the distribution of assets into an opinion collection form and submits it. The server receives this and analyzes it using an emotion engine.

[1113] 4. Proposal generation and presentation by generative AI:

[1114] The server uses a generative AI model to generate proposals from the input information, such as "distribute real estate to Mr. B, and cash and stocks equally between Mr. C and Mr. D," and presents them to each device.

[1115] Prompt Sentence Examples

[1116] "Please provide optimal asset distribution proposals based on each heir's wishes and emotional data."

[1117] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1118] Step 1:

[1119] Enter information about the deceased

[1120] Terminal (decedent): The decedent launches the dedicated application and enters their name, age, and asset list (real estate, cash, stocks, etc.). Enter text in each field and press the "Send" button.

[1121] Input: Name of decedent, age, and list of assets.

[1122] Server: Receives information entered by the deceased in real time, encrypts it, and stores it in the database. Receives HTTP requests and stores the information in JSON format.

[1123] Output: The encrypted decedent's information is stored in the database.

[1124] Step 2:

[1125] Entering information about heirs

[1126] Users (heirs): Each heir launches the dedicated application on their own device and enters their name, age, relationship to the deceased, and desired property division. They enter text into each field and press the "Send" button.

[1127] Input: Name of heir, age, relationship, and desired division of assets.

[1128] Terminal (inheritor): Sends the information entered by the inheritor to the server by sending an HTTP POST request to the server.

[1129] Output: The heir's information is sent to the server.

[1130] Server: Receives the transmitted information, encrypts it and stores it in a database. Parses the information and inserts it into a SQL database.

[1131] Output: Encrypted heir information is stored in the database.

[1132] Step 3:

[1133] Collecting and submitting opinions

[1134] Terminal (Heir): Each heir enters the reasons for the desired distribution of assets and specific requests through an opinion collection form. This interface includes text boxes and options. Then, the heir presses the "Submit" button.

[1135] Input: The opinions and wishes of the heirs.

[1136] User (inheritor): After completing the input, press the submit button. The form contents are confirmed and an HTTP POST request is sent to the server.

[1137] Output: The heir's opinion is sent to the server.

[1138] Server: Receives collected opinion data, encrypts it and stores it in a database. Analyzes the opinion data and stores it in a database.

[1139] Output: Encrypted opinion data is stored in a database.

[1140] Server: Sends input information to the emotion engine and analyzes the user's emotions. Natural language processing technology is used to analyze the text and generate emotion data.

[1141] Output: Emotion data is generated and stored in a database.

[1142] Step 4:

[1143] Proposal generation and presentation by generative AI

[1144] Server: Collects information and opinion data of the deceased and heirs stored in the database and inputs it into the generative AI model. Generates prompt sentences and sends them to the AI ​​model.

[1145] Input: Decedent and heir information and opinion data.

[1146] Server: Generates optimal asset distribution proposals based on the analysis results of the AI ​​model. The proposals are embedded in templates.

[1147] Output: A wealth distribution proposal is generated.

[1148] Server: Sends the generated proposal to the devices of the deceased and the heir. Converts the proposal content into HTML format and sends it to the device as an HTTP response.

[1149] Output: Suggestions are displayed on the terminal.

[1150] Step 5:

[1151] Emotion engine analysis

[1152] Server: Analyzes each heir's emotional state using an emotion engine to help adjust the proposal. Reanalyzes the emotional data and reflects it in the proposal.

[1153] Input: sentiment data, wealth distribution proposal.

[1154] Server: If there are heirs who are stressed or dissatisfied, we will make proposals that take their feelings into consideration. We will adjust the proposal content more flexibly.

[1155] Output: Emotion-sensitive suggestions are generated.

[1156] Step 6:

[1157] Supporting the exchange of opinions

[1158] Terminal (decedent and heir): An interface is displayed that provides chat and comment functions for heirs to exchange opinions. Each person enters a comment and presses the "Send" button.

[1159] Input: Comments and opinions.

[1160] Server: When an opinion is sent, receive the chat content and save it in the database. Analyze the chat message and add it to the database.

[1161] Output: The chat transcript is saved in a database.

[1162] Server: Analyzes user emotions in real time during the exchange of opinions using an emotion engine and adjusts the content of suggestions based on the exchanged opinions. Dynamically adjusts the content of suggestions using emotion data.

[1163] Output: Real-time tailored recommendations are generated.

[1164] Step 7:

[1165] Generate and review the final proposal

[1166] Server: Generates a final proposal for property distribution that everyone can agree on based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine. Past opinions and emotion data are integrated to generate the optimal proposal.

[1167] Input: Discussion transcript, initial proposal, sentiment data.

[1168] Server: Embeds the final proposal into a template and sends it to the deceased's and heir's devices.

[1169] Output: A final proposal is generated and displayed on the terminal.

[1170] Terminal (decedent): The decedent provides an interface for reviewing the final proposal and making any necessary corrections. After reviewing the proposal and making any necessary corrections, the decedent presses the "Final" button.

[1171] Input: Review and revise the final proposal.

[1172] Output: The final proposal is confirmed and saved in the database.

[1173] Server: Receives the finalized content and generates the final will. Legalizes the final proposal and digitally signs it.

[1174] Step 8:

[1175] Generate the final version of the will

[1176] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent. Generates the final will in PDF format and sends it over a secure communication channel.

[1177] Input: Final confirmed proposal.

[1178] Output: The final will is generated in digital format.

[1179] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, officially confirms the will. He / she digitally signs it and presses the "Confirm" button.

[1180] Output: A final, legally valid will is confirmed.

[1181] (Application example 2)

[1182] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1183] When it comes to business succession, it can be difficult to resolve differences of opinion and emotional conflicts that arise between the successor and the person being inherited, and to ensure a smooth succession process. Furthermore, succession plans that do not take emotions into consideration can cause dissatisfaction and stress for the successor, resulting in an incomplete succession. It is necessary to solve this problem and realize a business succession in a way that satisfies all parties involved.

[1184] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1185] In this invention, the server includes a means for inputting and collecting information for business succession, a means for proposing an optimal succession plan using a generative AI and an emotion engine, and a means for recognizing the emotional states of the successor and predecessor in real time and adjusting the content of the proposal. This makes it possible to minimize emotional conflicts during business succession and to smoothly proceed with the succession process.

[1186] A "decedent" is a person who leaves an inheritance.

[1187] An "heir" is a person who is entitled to receive an inheritance.

[1188] A "server" is a computer system that stores and analyzes collected information and runs generative AI and emotion engines.

[1189] "Generative AI" is artificial intelligence that generates optimal asset distribution and business succession plans based on collected data.

[1190] An "emotion engine" is a system that analyzes a user's emotional state from input opinions and information.

[1191] A "succession plan" is a plan for transferring the business of a predecessor to a successor.

[1192] The "opinion collection form" is an interface that allows heirs and successors to input their opinions and wishes.

[1193] "Emotional state" refers to the emotional state when a user expresses their opinion or wish.

[1194] A "prompt" is a document that provides instructions to a generative AI model.

[1195] The present invention is a system for smoothly carrying out business succession between the deceased and the heirs. The system includes a series of steps in which the deceased and the heirs input information, collect and analyze it, and generate an optimal succession plan.

[1196] System configuration

[1197] The system includes the following main components:

[1198] 1. A device for the deceased and the heirs to enter information

[1199] 2. A server that analyzes the collected information and generates recommendations

[1200] 3. An interface for viewing and modifying suggestions

[1201] 4. Emotion engine that analyzes user emotions

[1202] Program processing

[1203] The server assists in the business succession process through the following processes:

[1204] 1. Information input and collection:

[1205] The deceased and the heirs enter their personal information on their respective devices, including their name, age, list of assets, and desired distribution of assets.

[1206] The server receives this information in real time and stores it in a database.

[1207] 2. Opinion collection and sentiment analysis:

[1208] Each heir enters their reasons for wanting to distribute assets and their specific requests through an opinion collection form. The data is sent to a server, where an emotion engine analyzes each heir's emotional state.

[1209] The analyzed emotion data is stored in a database and used for subsequent suggestion generation.

[1210] 3. Proposal generation:

[1211] Based on the collected information and analysis results, the server uses a generative AI model to generate the optimal business succession plan.

[1212] The generated proposals reflect the feelings and wishes of each heir and are embedded in templates and presented to the deceased and heirs.

[1213] Hardware and software used

[1214] Hardware: Smartphones, tablets (devices)

[1215] Server: Cloud server (AWS, GCP, etc.)

[1216] Software: Python, Flask (used as an API server), generative AI model (based on GPT-4)

[1217] Emotion Engine: Emotion Analysis Tool

[1218] Specific examples

[1219] Next, we will show some specific examples.

[1220] Enter information

[1221] The decedent (shop owner) uses their own device to enter the following information:

[1222] Name of decedent:〇〇, Ichiro

[1223] Age: 55

[1224] Assets: Shop (XX Shop), Cash: 20 million yen

[1225] Enter heir information

[1226] Each heir enters the following information:

[1227] Heir 1 (son, Taro): Name, age, relationship, desired distribution of assets

[1228] Heir 2 (daughter, Hanako): Name, age, relationship, desired distribution of assets

[1229] Gathering opinions

[1230] The heirs enter the following opinions:

[1231] Taro: I want to be involved in running a store.

[1232] Hanako: I need cash.

[1233] Emotion analysis

[1234] The sentiment engine analyzes the input opinions and stores the results.

[1235] Proposal generation

[1236] The server uses a generative AI model to generate the optimal business succession plan and presents it to the deceased.

[1237] Prompt Sentence Examples

[1238] Name of deceased: XX, Ichiro, Age: 55, Assets: XX Store (store), Cash: 20 million yen

[1239] Heir 1: Name: Taro, Age: 30, Relationship: Son, Hope: Want to be involved in store management

[1240] Heir 2: Name: Hanako, Age: 25, Relationship: Daughter, Need: Cash

[1241] Emotional analysis results: 〇〇Taro (confidence), 〇〇Hanako (anxiety)

[1242] Use these to generate an appropriate estate succession plan.

[1243] This generates an optimal business succession plan that takes into account the opinions and feelings of the deceased and the heirs.

[1244] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1245] Step 1:

[1246] The deceased enters their own information.

[1247] input

[1248] The deceased person enters their name, age, and list of assets (real estate, cash, etc.) into the terminal.

[1249] Data Processing

[1250] The terminal converts the input information into a format and sends it to the server.

[1251] output

[1252] The server stores the received information in a database.

[1253] Step 2:

[1254] The heirs enter their respective information.

[1255] input

[1256] The heirs enter information such as their name, age, relationship, and desired distribution of assets into the terminal.

[1257] Data Processing

[1258] The terminal converts the input information into a format and sends it to the server.

[1259] output

[1260] The server stores the received information in a database.

[1261] Step 3:

[1262] The heirs enter their desired reasons for asset distribution and specific requests into the opinion collection form.

[1263] input

[1264] The heirs enter their wishes into the opinion collection form and press the submit button.

[1265] Data Processing

[1266] The terminal formats the input opinion data and transmits it to the server.

[1267] output

[1268] The server stores the opinion data in a database.

[1269] Step 4:

[1270] Analyze user emotions using an emotion engine.

[1271] input

[1272] The server obtains the opinion data of the heirs from the database.

[1273] Data Calculation

[1274] An emotion engine analyzes the opinion data to identify the emotional state of each heir.

[1275] output

[1276] The analysis results are saved in a database.

[1277] Step 5:

[1278] The server uses a generative AI model to generate an optimal succession plan.

[1279] input

[1280] The server retrieves information about the deceased and the heirs and the results of emotion analysis from the database.

[1281] Data Calculation

[1282] The generative AI model generates prompt statements based on the acquired data, analyzes them, and generates the optimal succession plan.

[1283] output

[1284] The generated succession plan is stored in a database and presented to the terminals of the deceased and the heirs.

[1285] Step 6:

[1286] The deceased and their heirs will review the succession plan and make any necessary amendments.

[1287] input

[1288] The decedent and heirs review the proposed succession plan and enter any amendments.

[1289] Data Processing

[1290] The terminal formats the modified content and sends it to the server.

[1291] output

[1292] The server receives the revised information and updates the final succession plan.

[1293] Step 7:

[1294] Generate a final will based on your final succession plan.

[1295] input

[1296] The server obtains the final version of the succession plan data.

[1297] Data Calculation

[1298] The server converts the data into a legally valid format and generates the will.

[1299] output

[1300] The server sends the generated will to the deceased's terminal.

[1301] The above steps will ensure that the business succession proceeds smoothly while taking into consideration emotions and opinions.

[1302] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1303] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1304] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1305] [Third embodiment]

[1306] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1307] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1308] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1309] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1310] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1311] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1312] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1313] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1314] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1315] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1316] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1317] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[1318] MODE FOR CARRYING OUT THE INVENTION

[1319] System Overview

[1320] This invention is a system that uses generative AI when a deceased person prepares a will to simplify inheritance procedures and reduce disputes between family members. Its main components include a terminal for collecting and sending information about users (decedents and heirs), a server that analyzes the data and generates optimal proposals, and an interface for presenting and modifying the generated proposals.

[1321] Program processing and specific examples

[1322] Enter information about the deceased

[1323] Terminal (Decedent): The decedent enters information such as their name, age, and a list of assets, including real estate, cash, stocks, etc.

[1324] Server: Receives information entered by the deceased in real time and stores it in a database.

[1325] Entering information about heirs

[1326] User (heir): Each heir enters their own information from their own device, such as their name, age, relationship to the deceased, and desired distribution of assets.

[1327] Terminal (Heir): When the heir finishes entering information, it is sent to the server.

[1328] Server: Receives the transmitted information and stores it in a database.

[1329] Collecting and submitting opinions

[1330] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form. This interface includes text boxes and options.

[1331] User (inheritor): Once you have finished entering information, press the send button.

[1332] Server: Receives collected opinion data and stores it in a database.

[1333] Proposal generation and presentation by generative AI

[1334] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into a generative AI model. The AI ​​model analyzes the data and generates optimal asset distribution proposals.

[1335] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[1336] Supporting the exchange of opinions

[1337] Terminal (decedent and heir): An interface that provides chat and comment functions for heirs to exchange opinions. This interface enables real-time communication.

[1338] Generate and review the final proposal

[1339] Server: Generates a final asset distribution proposal based on the records of the exchange of opinions and the initial proposal.

[1340] Terminal (Decedent): Provides an interface for the decedent to review the final proposal and enter any necessary corrections.

[1341] Server: Receives the confirmed details and generates the final will.

[1342] Generate the final version of the will

[1343] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent.

[1344] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, the will is officially finalized.

[1345] Specific examples

[1346] Let's consider the case where the deceased is "Yamada Ichiro" and the heirs are "eldest son Yamada Taro," "eldest daughter Yamada Hanako," and "younger sister Yamada Mie." Yamada Ichiro owns a home, 10 million yen in cash, and 300 shares of stock.

[1347] 1. Enter the information of the deceased

[1348] Yamada Ichiro enters his personal information and a list of assets (home real estate, cash, and stocks) through the terminal.

[1349] 2. Enter information about the heirs

[1350] Yamada Taro, Yamada Hanako, and Yamada Mie each enter their own information (name, age, relationship) and desired property division (for example, Yamada Taro wants real estate, Yamada Hanako wants cash, and Yamada Mie wants stocks) on their respective devices and send it to the server.

[1351] 3. Collecting and submitting opinions

[1352] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[1353] 4. Proposal generation and presentation using generative AI

[1354] The server uses a generative AI model to analyze the opinions of each heir and generate a proposal, such as "distribute real estate equally to Yamada Taro, and cash and stocks equally to Yamada Hanako and Yamada Mie," which it then presents to the deceased and heirs.

[1355] 5. Supporting the exchange of ideas

[1356] The heirs use the chat function to exchange opinions on the proposal.

[1357] 6. Generate and review the final proposal

[1358] Based on the record of the exchange of opinions, the server generates a final proposal and presents it to Yamada Ichiro.

[1359] 7. Generate the final version of the will

[1360] Based on the confirmed content, the server generates the final version of the will and sends a digital copy to Yamada Ichiro.

[1361] This system is expected to simplify inheritance procedures, prevent disputes between family members, and ensure that inheritance procedures are satisfactory to all.

[1362] The processing flow will be explained below.

[1363] Step 1:

[1364] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[1365] Step 2:

[1366] Server: Receives information entered by the deceased in real time and stores it in a database.

[1367] Step 3:

[1368] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[1369] Step 4:

[1370] Terminal (heir): Sends the information entered by the heir to the server.

[1371] Step 5:

[1372] Server: Receives the transmitted information and stores it in a database.

[1373] Step 6:

[1374] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form.

[1375] Step 7:

[1376] User (Heir): After each heir has completed filling out the opinion collection form, he or she presses the submit button.

[1377] Step 8:

[1378] Server: Receives collected opinion data and stores it in a database.

[1379] Step 9:

[1380] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model.

[1381] Step 10:

[1382] Server: The generative AI model analyzes the optimal asset distribution plan based on the opinions of each heir and generates specific proposals.

[1383] Step 11:

[1384] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[1385] Step 12:

[1386] Device (decedent and heir): The proposed content is displayed and the heirs can exchange opinions using the chat and comment functions.

[1387] Step 13:

[1388] Server: Records the opinions and comments exchanged sequentially and stores them in a database.

[1389] Step 14:

[1390] Server: Based on the records of the discussions and the initial proposals, generates a final proposal for the distribution of assets that everyone can agree on.

[1391] Step 15:

[1392] Server: Drafts the final proposal and sends it to the decedent's device.

[1393] Step 16:

[1394] Terminal (Decedent): Provides an interface for the decedent to review the draft of the final proposal and enter any necessary corrections.

[1395] Step 17:

[1396] User (Decedent): The decedent reviews the draft and enters any necessary corrections.

[1397] Step 18:

[1398] Server: Receives the revisions and refines the final proposal.

[1399] Step 19:

[1400] Server: Generates the final version of the will and asks the decedent for final confirmation.

[1401] Step 20:

[1402] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, presses the button to officially confirm the will.

[1403] Step 21:

[1404] Server: Prints the finalized will in a legally valid format and sends a digital copy to the decedent for safekeeping.

[1405] Example 1

[1406] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1407] Currently, inheritance procedures are extremely complicated, requiring the deceased and heirs to manually organize a large amount of information. In addition, disagreements and disputes often arise between heirs, making the preparation of a will time-consuming and labor-intensive. Furthermore, the process for properly reflecting the heirs' desired asset distribution is unclear, making it difficult to reach a final result that satisfies everyone. There is a need to solve these issues.

[1408] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1409] In this invention, the server includes a means for collecting information and opinion data of the deceased and the heirs, a means for embedding the generated proposals in a template and presenting it to the user, and a means for digitally signing the will and generating it in a legally valid format, thereby streamlining inheritance procedures, reducing disputes between heirs, and enabling the creation of a will in a format that satisfies all parties.

[1410] "Decedent" refers to the person who inherits property or assets.

[1411] "Heir" refers to a person who is entitled to inherit property or assets from a decedent.

[1412] "Means" refer to the methods or techniques used to achieve a particular goal.

[1413] "Server" refers to a computer system for receiving, processing, and storing data.

[1414] "Collected Data" refers to the information and opinions entered by the deceased and their heirs.

[1415] A "template" refers to a standard format for formally organizing generated proposals and information.

[1416] "Digital signature" refers to the process of verifying the legal validity of a will using electronic means.

[1417] A "generative AI model" refers to artificial intelligence technology that automatically generates optimal wealth distribution proposals based on collected data.

[1418] "Legal valid form" means that the will complies with legal requirements and is in a properly notarized form.

[1419] "Opinion collection form" refers to an electronic input interface through which heirs can enter their opinions and requests regarding the distribution of assets.

[1420] MODE FOR CARRYING OUT THE INVENTION

[1421] This invention is a system that utilizes generative AI models when a deceased person prepares a will, simplifying inheritance procedures and reducing disputes between family members. Its main components include a terminal for collecting and sending information about the deceased and heirs, a server that analyzes the data and generates optimal proposals, and an interface for presenting and modifying the generated proposals.

[1422] Hardware and software used

[1423] Hardware

[1424] Devices: PC, smartphone, tablet

[1425] Server: A computer server with a powerful processor and large memory capacity.

[1426] software

[1427] Database: SQL database (e.g. MySQL, PostgreSQL), NoSQL database (e.g. MongoDB)

[1428] Generative AI models: models capable of natural language processing, such as OpenAI's GPT-3

[1429] Front-end: HTML, CSS, JavaScript, frameworks like React

[1430] Backend: Server-side languages ​​such as Python and Node.js, web frameworks (e.g., Django and Express)

[1431] Program processing overview

[1432] 1. Enter the information of the deceased

[1433] Terminal (decedent): The decedent enters their name, age, list of assets, etc. into the input form on the terminal. The list of assets includes real estate, cash, stocks, etc.

[1434] Server: Receives information entered by the deceased in real time and stores it in a database.

[1435] 2. Enter information about the heirs

[1436] User (heir): Each heir enters their own information from their own device, such as their name, age, relationship to the deceased, and desired property division, and sends it to the server.

[1437] 3. Collecting and submitting opinions

[1438] Terminal (heir): Each heir enters their reasons for the desired distribution of assets and specific requests into the opinion collection form and submits it.

[1439] Server: Receives collected opinion data and stores it in a database.

[1440] 4. Proposal generation and presentation using generative AI

[1441] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model. An example of a prompt is "Please create the optimal inheritance proposal based on the following information."

[1442] Server: The AI ​​model analyzes the data and generates optimal asset distribution proposals. The proposals are embedded in templates and presented to the devices of the deceased and heirs.

[1443] 5. Supporting the exchange of ideas

[1444] Devices (decedent and heirs): Use an interface that provides chat and comment functions that allow for the exchange of opinions in real time.

[1445] 6. Generate and review the final proposal

[1446] Server: Generates a final proposal based on the records of the exchange of opinions between the heirs and provides an interface for the deceased to review and modify it.

[1447] 7. Generate the final version of the will

[1448] Server: Generates a legally valid final will based on the confirmed details, digitally signs the will, and sends a digital copy to the deceased.

[1449] Specific examples

[1450] Let's say the deceased is "Mr. A" and the heirs are "Mr. B, Mr. C, and Mr. D." Mr. A owns a home, 5 million yen in cash, and 200 shares of stock.

[1451] 1. Enter the information of the deceased

[1452] Mr. A enters his personal information and a list of his assets through the terminal.

[1453] 2. Enter information about the heirs

[1454] Mr. B, Mr. C, and Mr. D enter their information on their respective devices and send their desired property division to the server.

[1455] 3. Collecting and submitting opinions

[1456] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[1457] 4. Proposal generation and presentation using generative AI

[1458] The server uses a generative AI model to analyze the opinions of each heir and generate a proposal, for example, "Distribute the real estate to Mr. B, and the cash and stocks equally between Mr. C and Mr. D."

[1459] 5. Supporting the exchange of ideas

[1460] The heirs use the chat function to exchange opinions on the proposal.

[1461] 6. Generate and review the final proposal

[1462] Based on the records of the exchange of opinions, the server generates a final proposal and presents it to Mr. A.

[1463] 7. Generate the final version of the will

[1464] Based on the confirmed details, the server generates the final version of the will and sends a digital copy to Mr. A.

[1465] Using this system will streamline inheritance procedures, reduce disputes between family members, and enable the creation of wills that everyone can agree on.

[1466] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1467] Processing Steps

[1468] Step 1: Enter the deceased's information

[1469] Terminal (decedent): The decedent enters their name, age, and a list of assets into the terminal's input form. The entered information includes real estate, cash, stocks, etc.

[1470] Input: Name, age, property list

[1471] Data processing: Formatting data entered at the terminal and converting it into data packets.

[1472] Output: The formatted data packet is sent to the server.

[1473] Specific operation: The deceased person enters information into each field of the form and presses "Submit," which sends the data to the server.

[1474] Step 2: Enter heir information

[1475] User (heir): Each heir enters their name, age, relationship to the deceased, and desired property division details into an input form on the terminal.

[1476] Input: Name, age, relationship, desired property division

[1477] Data processing: Formatting data entered at the terminal and converting it into data packets.

[1478] Output: The formatted data packet is sent to the server.

[1479] Specific operation: The heir enters information into each field of the form and presses "Submit," which sends the data to the server.

[1480] Step 3: Collect and submit feedback

[1481] Terminal (heir): Each heir enters their reasons for the desired distribution of assets and specific requests into the opinion collection form and submits it.

[1482] Input: Reason for asset distribution, specific requests

[1483] Data processing: Organizing input data and formatting it for transmission.

[1484] Output: The opinion collection data is sent to the server.

[1485] Specific operation: The heir enters their opinions and requests, presses the "Submit Opinion" button and sends the data to the server.

[1486] Step 4: Proposal generation and presentation by generative AI

[1487] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model. An example prompt is "Please create the optimal inheritance proposal based on the following information."

[1488] Input: Information on the deceased and heirs, opinion data

[1489] Data calculation: AI analyzes input data and generates optimal wealth distribution proposals. The analysis is performed using machine learning algorithms.

[1490] Output: Generated proposals

[1491] How it works: The server retrieves the necessary information from the database and inputs it to the AI ​​generator along with the prompt text. The AI ​​analyzes it, generates suggestions, and embeds them in the template.

[1492] Step 5: Facilitate exchange of ideas

[1493] Devices (decedent and heirs): Use chat and comment functions to exchange opinions in real time.

[1494] Input: Chat message between heirs

[1495] Data processing: Formatting message data into a format that can be sent and received in real time.

[1496] Output: Messages shared between heirs

[1497] Specific operation: When each heir types a message in the chat box and sends it, the message is displayed to everyone in real time.

[1498] Step 6: Generate and review the final proposal

[1499] Server: Generates a final proposal based on the records of the exchange of opinions between the heirs and provides an interface for the deceased to review and modify it.

[1500] Input: Discussion notes, initial proposal

[1501] Data calculation: Integrate the initial proposal and the records of the discussion to generate the final proposal.

[1502] Output: Final proposal

[1503] Specific operation: The server retrieves the records of the discussions and the initial proposal from the database, generates a final proposal, and presents the proposal to the deceased's device, incorporating any modifications.

[1504] Step 7: Generate the final will

[1505] Server: Generates a legally valid final will based on the confirmed details, digitally signs the will, and sends a digital copy to the deceased.

[1506] Input: Confirmation details, signature data

[1507] Data operations: Formatting the finalization, generating a legally valid will and affidavit, and digitally signing it.

[1508] Output: Final will (digital copy)

[1509] Specific operation: The server generates a PDF will based on the finalized content, affixes a digital signature, and sends it to the deceased's device.

[1510] These processing steps will help manage the inheritance process efficiently and reduce disputes between family members.

[1511] (Application example 1)

[1512] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1513] This invention aims to solve the problems of disagreements among family members and the time it takes to select the optimal security system when selecting and installing a home security system. In particular, it aims to support decision-making by efficiently collecting and analyzing the opinions of family members with diverse security needs and automatically generating optimal security proposals.

[1514] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1515] In this invention, the server includes a means for the homeowner to input their own information, a means for other residents to input their respective information, a means for transmitting collected information and opinion data of the homeowner and other residents to the server, a means for generating an optimal home security proposal using a generative AI model, a means for presenting the generated proposal, a means for providing a chat function to support exchange of opinions between residents, a means for confirming and correcting the generated final proposal, and a means for generating a final home security system proposal, thereby enabling the homeowner and residents to efficiently exchange opinions and select and install an optimal home security system in a manner that satisfies all parties.

[1516] A "decedent" is a person who intends to distribute his or her property to his or her heirs.

[1517] An "heir" is a person who is entitled to receive a share of the decedent's assets.

[1518] A "homeowner" is a person who owns a home and selects and installs its security system.

[1519] An "occupant" is a person who lives in a home and has a say in security matters.

[1520] A "means for inputting information" is an interface through which a user inputs their data into the system.

[1521] "Means for transmitting collected information and opinion data to a server" refers to the techniques and processes for transmitting input data to a central server.

[1522] A "generative AI model" is an artificial intelligence algorithm and platform that analyzes collected data and generates optimal suggestions.

[1523] A "means for presenting suggestions" is an interface that visually or digitally displays generated suggestions to a user.

[1524] "Means to support the exchange of opinions" refers to a communication function that allows residents and heirs to exchange opinions with each other.

[1525] A "means for review and correction" is an interface that allows the user to review the generated suggestions and correct them if necessary.

[1526] A "final will" or "final residential security system proposal" means the official document or proposal that has been finally reviewed, amended, and finalized.

[1527] System Overview

[1528] This invention is a system that allows homeowners and their families (residents) to efficiently select and install security systems. The system mainly consists of a terminal for inputting information, a server for data analysis, and an interface for presenting and modifying generated proposals. The system utilizes a generative AI model to support the exchange of opinions among family members and provide optimal security system proposals.

[1529] Program processing and specific examples

[1530] Enter homeowner and resident information

[1531] The server includes a means for homeowners to input their own information and for other residents to input their information and security needs. For example, homeowners and residents use a smartphone app to input their name, age, home characteristics, desired security features, etc. The server collects this data and stores it in a database.

[1532] Gathering opinions

[1533] The server provides an opinion collection form for each resident to enter their detailed security needs and desired security features. Specific requests, such as "I want a camera installed at the entrance" or "I need intrusion detection at night," are sent to the server and stored in a database.

[1534] Generative AI generates security proposals

[1535] The server uses a generative AI model to analyze all data stored in the database. The generative AI model generates optimal security system proposals based on previous security system installations and real-time heir and homeowner data. The generated proposals are embedded into templates and presented to the homeowner's and resident's devices.

[1536] Supporting the exchange of opinions

[1537] The server provides a chat function to facilitate communication between residents. This interface allows residents to exchange ideas in real time and further discuss their needs and desires.

[1538] Generate and review the final proposal

[1539] The server generates a final security system proposal based on the records of the exchanges and the initial proposal. Homeowners and residents can use the interface to review the final proposal and make any necessary modifications. The reviewed and modified final proposal is then sent back to the server.

[1540] Generate a final security system proposal

[1541] After the final proposal has been reviewed and revised, the server generates a final security system proposal and sends a digital copy to the homeowner, allowing them to review the final configuration and officially finalize the security system.

[1542] Hardware and software used

[1543] Smartphone applications: Java / Kotlin for Android, Swift for iOS

[1544] Server-side scripting: Python, Flask

[1545] Database: PostgreSQL

[1546] Generative AI model: TensorFlow

[1547] Chat system: WebSocket or Firebase

[1548] Specific examples

[1549] A homeowner named Jiro Tanaka needs a new security system. He and his family (wife Hanako Tanaka and eldest son Taro Tanaka) each input their security needs into a smartphone app, and the system suggests the best security solution.

[1550] Prompt Sentence Examples

[1551] Name of decedent: Jiro Tanaka

[1552] Decedent's age: 55

[1553] Housing Information:

[1554] Address: 1-2-3 Minami-Aoyama, Minato-ku, Tokyo

[1555] Area: 150 square meters

[1556] Features: 2-storey house with garden

[1557] Family:

[1558] Name: Hanako Tanaka

[1559] Relationship: Wife

[1560] Age: 50

[1561] Desired security features: Entrance camera, intrusion detection system

[1562] Name: Taro Tanaka

[1563] Relationship: Eldest son

[1564] Age: 20

[1565] Desired security features: Indoor cameras, smart alarms

[1566] Based on this prompt, the generative AI model will suggest the optimal security system for the Tanaka family.

[1567] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1568] Step 1:

[1569] Enter homeowner and resident information

[1570] The terminal provides an interface for homeowners to enter their information (name, age, home characteristics, desired security features).

[1571] Input: Homeowner's Information

[1572] Data processing / calculation: Organizing and formatting collected data

[1573] Output: Formatted data stored on the server

[1574] Step 2:

[1575] Entering resident information

[1576] The terminal provides an interface for other residents to enter their information (name, age, and home security needs).

[1577] Input: Resident information

[1578] Data processing / calculation: Organizing input data and integrating it with homeowner data

[1579] Output: Consolidated data stored on the server

[1580] Step 3:

[1581] Gathering opinions

[1582] The terminals provide a feedback form for each resident to enter detailed security needs and desired features.

[1583] Input: Opinions and wishes of each resident

[1584] Data processing / calculation: Organizing and classifying collected opinion data

[1585] Output: Organized and classified opinion data stored on the server

[1586] Step 4:

[1587] Generating security recommendations with generative AI models

[1588] The server inputs all stored data into a generative AI model for analysis.

[1589] Input: Stored homeowner and resident information, opinion data

[1590] Data processing / calculation: Data analysis using generative AI model (TensorFlow) and generation of optimal security proposals

[1591] Output: Generated security proposal

[1592] Step 5:

[1593] Presenting the proposal

[1594] The terminal provides an interface for presenting the generated security proposal to the homeowner and occupant.

[1595] Input: Generated security proposal

[1596] Data processing / calculation: Formatting of proposed data

[1597] Output: Proposals presented to homeowner and resident devices

[1598] Step 6:

[1599] Supporting the exchange of opinions

[1600] The terminals provide a chat function to facilitate the exchange of opinions between residents.

[1601] Input: Resident opinions and reactions

[1602] Data processing / calculation: Chat message storage and real-time display

[1603] Output: Real-time updated discussion log

[1604] Step 7:

[1605] Generate and review the final proposal

[1606] The server generates a new final proposal based on the record of the exchange of opinions and presents it to the homeowner and resident.

[1607] Input: Discussion log, initial proposal data

[1608] Data processing / calculation: Reanalyzing data and generating final proposals

[1609] Output: Final security proposal

[1610] Step 8:

[1611] Generate a final security system proposal

[1612] The server reviews and modifies the final proposal to generate a formal, final security system proposal and sends a digital copy to the homeowner.

[1613] Input: Reviewed and revised final proposal

[1614] Data processing / calculation: Final document generation

[1615] Output: A digital copy of the final security system proposal sent to the homeowner

[1616] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1617] MODE FOR CARRYING OUT THE INVENTION

[1618] System Overview

[1619] This invention is a system that simplifies inheritance procedures and reduces disputes between family members by utilizing generative AI and an emotion engine when the deceased prepares a will. Its main components include a terminal for collecting and sending information about users (decedents and heirs), a server that analyzes the data and generates optimal proposals, an interface for presenting and modifying the generated proposals, and an emotion engine that recognizes the user's emotions.

[1620] Program processing and specific examples

[1621] Enter information about the deceased

[1622] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[1623] Server: Receives information entered by the deceased in real time and stores it in a database.

[1624] Entering information about heirs

[1625] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[1626] Terminal (heir): Sends the information entered by the heir to the server.

[1627] Server: Receives the transmitted information and stores it in a database.

[1628] Collecting and submitting opinions

[1629] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form. This interface includes text boxes and options.

[1630] User (inheritor): Once you have finished entering information, press the send button.

[1631] Server: Receives collected opinion data and stores it in a database.

[1632] Server: Analyzes and records the user's emotions using the emotion engine based on the input information.

[1633] Proposal generation and presentation by generative AI

[1634] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into a generative AI model. The AI ​​model analyzes the data and generates optimal asset distribution proposals.

[1635] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[1636] Emotion engine analysis

[1637] Server: Analyzes the emotional state of each heir using an emotion engine and uses this information to adjust the proposal content. For example, if an heir is highly stressed or dissatisfied, the proposal will take those emotions into consideration.

[1638] Supporting the exchange of opinions

[1639] Terminal (decedent and heir): An interface that provides chat and comment functions for heirs to exchange opinions. This interface enables real-time communication.

[1640] Server: Uses an emotion engine to recognize user emotions in real time during the exchange of opinions and adjusts the suggestions based on the exchanged opinions.

[1641] Generate and review the final proposal

[1642] Server: Based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine, generates a final proposal for asset distribution that everyone can agree on.

[1643] Terminal (Decedent): The decedent provides an interface to review the final proposal and enter any necessary corrections.

[1644] Server: Receives the confirmed details and generates the final will.

[1645] Generate the final version of the will

[1646] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent.

[1647] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, the will is officially finalized.

[1648] Specific examples

[1649] Let's assume that the deceased is "Ichiro Suzuki" and the heirs are "eldest son Taro Suzuki," "eldest daughter Hanako Suzuki," and "younger sister Mie Suzuki." Ichiro Suzuki owns a home, 10 million yen in cash, and 300 shares of stock.

[1650] 1. Enter the information of the deceased

[1651] Suzuki Ichiro enters his personal information and a list of assets (home real estate, cash, and stocks) through the terminal.

[1652] 2. Enter information about the heirs

[1653] Suzuki Taro, Suzuki Hanako, and Suzuki Mie each enter their own information (name, age, relationship) and desired property division (for example, Suzuki Taro wants real estate, Suzuki Hanako wants cash, and Suzuki Mie wants stocks) on their respective devices and send it to the server.

[1654] 3. Collecting and submitting opinions

[1655] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[1656] 4. Analysis by Emotion Engine

[1657] When collecting opinions, the emotion engine analyzes the emotions from the heirs' input and stores them in a database.

[1658] 5. Proposal generation and presentation using generative AI

[1659] The server uses a generative AI model to analyze the opinions and emotions of each heir, and generates a proposal, for example, "Distribute the real estate to Suzuki Taro, and the cash and stocks equally between Suzuki Hanako and Suzuki Mie," which it then presents to the deceased and the heirs.

[1660] 6. Supporting the exchange of ideas

[1661] The heirs use the chat function to exchange opinions on the proposals. The emotion engine recognizes the emotions of each heir in real time and provides appropriate feedback to the server.

[1662] 7. Generate and review the final proposal

[1663] Based on the records of the exchange of opinions and the analysis results from the emotion engine, the server generates a final proposal and presents it to Suzuki Ichiro.

[1664] 8. Generate the final will

[1665] Based on the confirmed details, the server generates the final version of the will and sends a digital copy to Suzuki Ichiro.

[1666] This system will allow inheritance procedures to proceed while taking into consideration the feelings of the deceased and the heirs, and is expected to lead to a smoother inheritance that is satisfactory to all.

[1667] The processing flow will be explained below.

[1668] Step 1:

[1669] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[1670] Step 2:

[1671] Server: Receives information entered by the deceased in real time and stores it in a database.

[1672] Step 3:

[1673] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[1674] Step 4:

[1675] Terminal (heir): Sends the information entered by the heir to the server.

[1676] Step 5:

[1677] Server: Receives the transmitted information and stores it in a database.

[1678] Step 6:

[1679] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form.

[1680] Step 7:

[1681] User (Heir): After each heir has completed filling out the opinion collection form, he or she presses the submit button.

[1682] Step 8:

[1683] Server: Receives collected opinion data and stores it in a database.

[1684] Step 9:

[1685] Server: Analyzes and records the user's emotions using the emotion engine based on the input information.

[1686] Step 10:

[1687] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model.

[1688] Step 11:

[1689] Server: The generative AI model analyzes the optimal asset distribution plan based on the opinions of each heir and generates specific proposals.

[1690] Step 12:

[1691] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[1692] Step 13:

[1693] Device (decedent and heir): The proposed content is displayed and the heirs can exchange opinions using the chat and comment functions.

[1694] Step 14:

[1695] Server: Uses an emotion engine to recognize user emotions in real time during the exchange of opinions and adjusts the suggestions based on the exchanged opinions.

[1696] Step 15:

[1697] Server: Records the opinions and comments exchanged sequentially and stores them in a database.

[1698] Step 16:

[1699] Server: Based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine, generates a final proposal for asset distribution that everyone can agree on.

[1700] Step 17:

[1701] Server: Drafts the final proposal and sends it to the decedent's device.

[1702] Step 18:

[1703] Terminal (Decedent): Provides an interface for the decedent to review the draft of the final proposal and enter any necessary corrections.

[1704] Step 19:

[1705] User (Decedent): The decedent reviews the draft and enters any necessary corrections.

[1706] Step 20:

[1707] Server: Receives the revisions and refines the final proposal.

[1708] Step 21:

[1709] Server: Generates the final version of the will and asks the decedent for final confirmation.

[1710] Step 22:

[1711] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, presses the button to officially confirm the will.

[1712] Step 23:

[1713] Server: Prints the finalized will in a legally valid format and sends a digital copy to the decedent for safekeeping.

[1714] Example 2

[1715] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1716] Conventional inheritance procedures require the gathering of a great deal of information and the exchange of opinions between the deceased and the heirs, resulting in a time-consuming and labor-intensive process. Furthermore, emotional conflicts and differences of opinion often arise, potentially leading to disputes between family members. Therefore, there was a need for a system that could smoothly proceed with inheritance procedures while taking into account the emotional state of the family members.

[1717] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1718] In this invention, the server includes a means for collecting and transmitting information and opinion data of the deceased and the heirs, a means including an emotion engine for analyzing the emotion data of each heir, and a means for adjusting the proposal content using a generative AI model based on the emotional state, thereby making it possible to generate and adjust optimal property distribution proposals that reflect the opinions and wishes of each heir while minimizing emotional conflicts.

[1719] "Decedent" refers to an individual who dies and leaves behind an estate.

[1720] "Heir" refers to any person or entity entitled to receive the estate of a decedent.

[1721] "Collected information" refers to personal data and opinion data entered by the deceased and their heirs.

[1722] "Server" refers to a computer system used to store and process collected information.

[1723] "Generative AI model" refers to algorithms or software that use artificial intelligence techniques to generate optimal wealth distribution proposals.

[1724] An "emotion engine" refers to software or algorithms that analyze user input data and identify its emotions.

[1725] An "opinion collection form" refers to an interface that allows heirs to input their opinions and wishes.

[1726] "Final proposal" refers to the optimal asset distribution proposal generated based on the collected information and analysis results.

[1727] A "will" is a legally binding document that expresses the final wishes of the deceased.

[1728] "Device" refers to an electronic device used by the decedent and his / her heirs to enter information.

[1729] MODE FOR CARRYING OUT THE INVENTION

[1730] System Overview

[1731] This invention is a system that simplifies inheritance procedures and reduces disputes between family members by utilizing generative AI and an emotion engine when the deceased prepares a will. The main components include a terminal for collecting information on users (decedents and heirs), a server that analyzes the data and generates optimal proposals, an interface for presenting and modifying the generated proposals, and an emotion engine that recognizes the user's emotions.

[1732] System configuration

[1733] The system includes the following major components:

[1734] 1. Device: An electronic device on which the deceased and the heirs enter their information and opinions. Examples include personal computers (PCs), tablets, and smartphones. A dedicated application runs on the device, allowing the necessary data to be entered.

[1735] 2. Server: A computer system for receiving, storing, and analyzing information sent by the deceased and the heirs. This server is equipped with a database for storing large amounts of data, a generative AI model for analyzing information, and an emotion engine for recognizing user emotions.

[1736] 3. Generative AI model: Software using artificial intelligence technology installed on a server that analyzes input data from the deceased and heirs and generates optimal asset distribution proposals.

[1737] 4. Emotion engine: Software installed on the server analyzes emotions from text data entered by the user, and the generative AI model adjusts suggestions based on that data.

[1738] Program processing flow

[1739] Enter information about the deceased

[1740] Device (decedent): The decedent launches the dedicated application and enters information such as their name, age, and a list of assets (real estate, cash, stocks, etc.). Specifically, they enter text into each field and press the "Send" button.

[1741] Server: Receives the information entered by the deceased in real time, encrypts it, and stores it in the database. Specifically, it receives HTTP requests and stores the information in JSON format.

[1742] Entering information about heirs

[1743] Users (heirs): Each heir launches a dedicated application on their own device and enters their name, age, relationship to the deceased, and desired property distribution. Specifically, they enter text into each field and press the "Send" button.

[1744] Terminal (inheritor): Sends the information entered by the inheritor to the server. Specifically, it sends an HTTP POST request to the server.

[1745] Server: Receives the transmitted information, encrypts it, and stores it in a database, specifically by parsing the information and inserting it into a SQL database.

[1746] Specific examples

[1747] Let's say the deceased is "Mr. A" and the heirs are "Mr. B," "Mr. C," and "Mr. D." Mr. A owns a home, 10 million yen in cash, and 300 shares of stock.

[1748] 1. Enter the decedent's information:

[1749] Mr. A enters his personal information and a list of assets (home real estate, cash, stocks) through the terminal and sends it. The server receives this and stores it in the database.

[1750] 2. Enter the heir information:

[1751] Mr. B, Mr. C, and Mr. D each enter their own information (name, age, relationship) and desired property division (e.g. Mr. B wants real estate, Mr. C wants cash, Mr. D wants stocks) into their terminals and send it to the server.

[1752] 3. Collecting and submitting opinions:

[1753] Each heir enters their desired reasons for the distribution of assets into an opinion collection form and submits it. The server receives this and analyzes it using an emotion engine.

[1754] 4. Proposal generation and presentation by generative AI:

[1755] The server uses a generative AI model to generate proposals from the input information, such as "distribute real estate to Mr. B, and cash and stocks equally between Mr. C and Mr. D," and presents them to each device.

[1756] Prompt Sentence Examples

[1757] "Please provide optimal asset distribution proposals based on each heir's wishes and emotional data."

[1758] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1759] Step 1:

[1760] Enter information about the deceased

[1761] Terminal (decedent): The decedent launches the dedicated application and enters their name, age, and asset list (real estate, cash, stocks, etc.). Enter text in each field and press the "Send" button.

[1762] Input: Name of decedent, age, and list of assets.

[1763] Server: Receives information entered by the deceased in real time, encrypts it, and stores it in the database. Receives HTTP requests and stores the information in JSON format.

[1764] Output: The encrypted decedent's information is stored in the database.

[1765] Step 2:

[1766] Entering information about heirs

[1767] Users (heirs): Each heir launches the dedicated application on their own device and enters their name, age, relationship to the deceased, and desired property division. They enter text into each field and press the "Send" button.

[1768] Input: Name of heir, age, relationship, and desired division of assets.

[1769] Terminal (inheritor): Sends the information entered by the inheritor to the server by sending an HTTP POST request to the server.

[1770] Output: The heir's information is sent to the server.

[1771] Server: Receives the transmitted information, encrypts it and stores it in a database. Parses the information and inserts it into a SQL database.

[1772] Output: Encrypted heir information is stored in the database.

[1773] Step 3:

[1774] Collecting and submitting opinions

[1775] Terminal (Heir): Each heir enters the reasons for the desired distribution of assets and specific requests through an opinion collection form. This interface includes text boxes and options. Then, the heir presses the "Submit" button.

[1776] Input: The opinions and wishes of the heirs.

[1777] User (inheritor): After completing the input, press the submit button. The form contents are confirmed and an HTTP POST request is sent to the server.

[1778] Output: The heir's opinion is sent to the server.

[1779] Server: Receives collected opinion data, encrypts it and stores it in a database. Analyzes the opinion data and stores it in a database.

[1780] Output: Encrypted opinion data is stored in a database.

[1781] Server: Sends input information to the emotion engine and analyzes the user's emotions. Natural language processing technology is used to analyze the text and generate emotion data.

[1782] Output: Emotion data is generated and stored in a database.

[1783] Step 4:

[1784] Proposal generation and presentation by generative AI

[1785] Server: Collects information and opinion data of the deceased and heirs stored in the database and inputs it into the generative AI model. Generates prompt sentences and sends them to the AI ​​model.

[1786] Input: Decedent and heir information and opinion data.

[1787] Server: Generates optimal asset distribution proposals based on the analysis results of the AI ​​model. The proposals are embedded in templates.

[1788] Output: A wealth distribution proposal is generated.

[1789] Server: Sends the generated proposal to the devices of the deceased and the heir. Converts the proposal content into HTML format and sends it to the device as an HTTP response.

[1790] Output: Suggestions are displayed on the terminal.

[1791] Step 5:

[1792] Emotion engine analysis

[1793] Server: Analyzes each heir's emotional state using an emotion engine to help adjust the proposal. Reanalyzes the emotional data and reflects it in the proposal.

[1794] Input: sentiment data, wealth distribution proposal.

[1795] Server: If there are heirs who are stressed or dissatisfied, we will make proposals that take their feelings into consideration. We will adjust the proposal content more flexibly.

[1796] Output: Emotion-sensitive suggestions are generated.

[1797] Step 6:

[1798] Supporting the exchange of opinions

[1799] Terminal (decedent and heir): An interface is displayed that provides chat and comment functions for heirs to exchange opinions. Each person enters a comment and presses the "Send" button.

[1800] Input: Comments and opinions.

[1801] Server: When an opinion is sent, receive the chat content and save it in the database. Analyze the chat message and add it to the database.

[1802] Output: The chat transcript is saved in a database.

[1803] Server: Analyzes user emotions in real time during the exchange of opinions using an emotion engine and adjusts the content of suggestions based on the exchanged opinions. Dynamically adjusts the content of suggestions using emotion data.

[1804] Output: Real-time tailored recommendations are generated.

[1805] Step 7:

[1806] Generate and review the final proposal

[1807] Server: Generates a final proposal for property distribution that everyone can agree on based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine. Past opinions and emotion data are integrated to generate the optimal proposal.

[1808] Input: Discussion transcript, initial proposal, sentiment data.

[1809] Server: Embeds the final proposal into a template and sends it to the deceased's and heir's devices.

[1810] Output: A final proposal is generated and displayed on the terminal.

[1811] Terminal (decedent): The decedent provides an interface for reviewing the final proposal and making any necessary corrections. After reviewing the proposal and making any necessary corrections, the decedent presses the "Final" button.

[1812] Input: Review and revise the final proposal.

[1813] Output: The final proposal is confirmed and saved in the database.

[1814] Server: Receives the finalized content and generates the final will. Legalizes the final proposal and digitally signs it.

[1815] Step 8:

[1816] Generate the final version of the will

[1817] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent. Generates the final will in PDF format and sends it over a secure communication channel.

[1818] Input: Final confirmed proposal.

[1819] Output: The final will is generated in digital format.

[1820] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, officially confirms the will. He / she digitally signs it and presses the "Confirm" button.

[1821] Output: A final, legally valid will is confirmed.

[1822] (Application example 2)

[1823] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1824] When it comes to business succession, it can be difficult to resolve differences of opinion and emotional conflicts that arise between the successor and the person being inherited, and to ensure a smooth succession process. Furthermore, succession plans that do not take emotions into consideration can cause dissatisfaction and stress for the successor, resulting in an incomplete succession. It is necessary to solve this problem and realize a business succession in a way that satisfies all parties involved.

[1825] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1826] In this invention, the server includes a means for inputting and collecting information for business succession, a means for proposing an optimal succession plan using a generative AI and an emotion engine, and a means for recognizing the emotional states of the successor and predecessor in real time and adjusting the content of the proposal. This makes it possible to minimize emotional conflicts during business succession and to smoothly proceed with the succession process.

[1827] A "decedent" is a person who leaves an inheritance.

[1828] An "heir" is a person who is entitled to receive an inheritance.

[1829] A "server" is a computer system that stores and analyzes collected information and runs generative AI and emotion engines.

[1830] "Generative AI" is artificial intelligence that generates optimal asset distribution and business succession plans based on collected data.

[1831] An "emotion engine" is a system that analyzes a user's emotional state from input opinions and information.

[1832] A "succession plan" is a plan for transferring the business of a predecessor to a successor.

[1833] The "opinion collection form" is an interface that allows heirs and successors to input their opinions and wishes.

[1834] "Emotional state" refers to the emotional state when a user expresses their opinion or wish.

[1835] A "prompt" is a document that provides instructions to a generative AI model.

[1836] The present invention is a system for smoothly carrying out business succession between the deceased and the heirs. The system includes a series of steps in which the deceased and the heirs input information, collect and analyze it, and generate an optimal succession plan.

[1837] System configuration

[1838] The system includes the following main components:

[1839] 1. A device for the deceased and the heirs to enter information

[1840] 2. A server that analyzes the collected information and generates recommendations

[1841] 3. An interface for viewing and modifying suggestions

[1842] 4. Emotion engine that analyzes user emotions

[1843] Program processing

[1844] The server assists in the business succession process through the following processes:

[1845] 1. Information input and collection:

[1846] The deceased and the heirs enter their personal information on their respective devices, including their name, age, list of assets, and desired distribution of assets.

[1847] The server receives this information in real time and stores it in a database.

[1848] 2. Opinion collection and sentiment analysis:

[1849] Each heir enters their reasons for wanting to distribute assets and their specific requests through an opinion collection form. The data is sent to a server, where an emotion engine analyzes each heir's emotional state.

[1850] The analyzed emotion data is stored in a database and used for subsequent suggestion generation.

[1851] 3. Proposal generation:

[1852] Based on the collected information and analysis results, the server uses a generative AI model to generate the optimal business succession plan.

[1853] The generated proposals reflect the feelings and wishes of each heir and are embedded in templates and presented to the deceased and heirs.

[1854] Hardware and software used

[1855] Hardware: Smartphones, tablets (devices)

[1856] Server: Cloud server (AWS, GCP, etc.)

[1857] Software: Python, Flask (used as an API server), generative AI model (based on GPT-4)

[1858] Emotion Engine: Emotion Analysis Tool

[1859] Specific examples

[1860] Next, we will show some specific examples.

[1861] Enter information

[1862] The decedent (shop owner) uses their own device to enter the following information:

[1863] Name of decedent:〇〇, Ichiro

[1864] Age: 55

[1865] Assets: Shop (XX Shop), Cash: 20 million yen

[1866] Enter heir information

[1867] Each heir enters the following information:

[1868] Heir 1 (son, Taro): Name, age, relationship, desired distribution of assets

[1869] Heir 2 (daughter, Hanako): Name, age, relationship, desired distribution of assets

[1870] Gathering opinions

[1871] The heirs enter the following opinions:

[1872] Taro: I want to be involved in running a store.

[1873] Hanako: I need cash.

[1874] Emotion analysis

[1875] The sentiment engine analyzes the input opinions and stores the results.

[1876] Proposal generation

[1877] The server uses a generative AI model to generate the optimal business succession plan and presents it to the deceased.

[1878] Prompt Sentence Examples

[1879] Name of deceased: XX, Ichiro, Age: 55, Assets: XX Store (store), Cash: 20 million yen

[1880] Heir 1: Name: Taro, Age: 30, Relationship: Son, Hope: Want to be involved in store management

[1881] Heir 2: Name: Hanako, Age: 25, Relationship: Daughter, Need: Cash

[1882] Emotional analysis results: 〇〇Taro (confidence), 〇〇Hanako (anxiety)

[1883] Use these to generate an appropriate estate succession plan.

[1884] This generates an optimal business succession plan that takes into account the opinions and feelings of the deceased and the heirs.

[1885] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1886] Step 1:

[1887] The deceased enters their own information.

[1888] input

[1889] The deceased person enters their name, age, and list of assets (real estate, cash, etc.) into the terminal.

[1890] Data Processing

[1891] The terminal converts the input information into a format and sends it to the server.

[1892] output

[1893] The server stores the received information in a database.

[1894] Step 2:

[1895] The heirs enter their respective information.

[1896] input

[1897] The heirs enter information such as their name, age, relationship, and desired distribution of assets into the terminal.

[1898] Data Processing

[1899] The terminal converts the input information into a format and sends it to the server.

[1900] output

[1901] The server stores the received information in a database.

[1902] Step 3:

[1903] The heirs enter their desired reasons for asset distribution and specific requests into the opinion collection form.

[1904] input

[1905] The heirs enter their wishes into the opinion collection form and press the submit button.

[1906] Data Processing

[1907] The terminal formats the input opinion data and transmits it to the server.

[1908] output

[1909] The server stores the opinion data in a database.

[1910] Step 4:

[1911] Analyze user emotions using an emotion engine.

[1912] input

[1913] The server obtains the opinion data of the heirs from the database.

[1914] Data Calculation

[1915] An emotion engine analyzes the opinion data to identify the emotional state of each heir.

[1916] output

[1917] The analysis results are saved in a database.

[1918] Step 5:

[1919] The server uses a generative AI model to generate an optimal succession plan.

[1920] input

[1921] The server retrieves information about the deceased and the heirs and the results of emotion analysis from the database.

[1922] Data Calculation

[1923] The generative AI model generates prompt statements based on the acquired data, analyzes them, and generates the optimal succession plan.

[1924] output

[1925] The generated succession plan is stored in a database and presented to the terminals of the deceased and the heirs.

[1926] Step 6:

[1927] The deceased and their heirs will review the succession plan and make any necessary amendments.

[1928] input

[1929] The decedent and heirs review the proposed succession plan and enter any amendments.

[1930] Data Processing

[1931] The terminal formats the modified content and sends it to the server.

[1932] output

[1933] The server receives the revised information and updates the final succession plan.

[1934] Step 7:

[1935] Generate a final will based on your final succession plan.

[1936] input

[1937] The server obtains the final version of the succession plan data.

[1938] Data Calculation

[1939] The server converts the data into a legally valid format and generates the will.

[1940] output

[1941] The server sends the generated will to the deceased's terminal.

[1942] The above steps will ensure that the business succession proceeds smoothly while taking into consideration emotions and opinions.

[1943] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1944] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1945] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1946] [Fourth embodiment]

[1947] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1948] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1949] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1950] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1951] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1952] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1953] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1954] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1955] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1956] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1957] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1958] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1959] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1960] MODE FOR CARRYING OUT THE INVENTION

[1961] System Overview

[1962] This invention is a system that uses generative AI when a deceased person prepares a will to simplify inheritance procedures and reduce disputes between family members. Its main components include a terminal for collecting and sending information about users (decedents and heirs), a server that analyzes the data and generates optimal proposals, and an interface for presenting and modifying the generated proposals.

[1963] Program processing and specific examples

[1964] Enter information about the deceased

[1965] Terminal (Decedent): The decedent enters information such as their name, age, and a list of assets, including real estate, cash, stocks, etc.

[1966] Server: Receives information entered by the deceased in real time and stores it in a database.

[1967] Entering information about heirs

[1968] User (heir): Each heir enters their own information from their own device, such as their name, age, relationship to the deceased, and desired distribution of assets.

[1969] Terminal (Heir): When the heir finishes entering information, it is sent to the server.

[1970] Server: Receives the transmitted information and stores it in a database.

[1971] Collecting and submitting opinions

[1972] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form. This interface includes text boxes and options.

[1973] User (inheritor): Once you have finished entering information, press the send button.

[1974] Server: Receives collected opinion data and stores it in a database.

[1975] Proposal generation and presentation by generative AI

[1976] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into a generative AI model. The AI ​​model analyzes the data and generates optimal asset distribution proposals.

[1977] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[1978] Supporting the exchange of opinions

[1979] Terminal (decedent and heir): An interface that provides chat and comment functions for heirs to exchange opinions. This interface enables real-time communication.

[1980] Generate and review the final proposal

[1981] Server: Generates a final asset distribution proposal based on the records of the exchange of opinions and the initial proposal.

[1982] Terminal (Decedent): Provides an interface for the decedent to review the final proposal and enter any necessary corrections.

[1983] Server: Receives the confirmed details and generates the final will.

[1984] Generate the final version of the will

[1985] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent.

[1986] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, the will is officially finalized.

[1987] Specific examples

[1988] Let's consider the case where the deceased is "Yamada Ichiro" and the heirs are "eldest son Yamada Taro," "eldest daughter Yamada Hanako," and "younger sister Yamada Mie." Yamada Ichiro owns a home, 10 million yen in cash, and 300 shares of stock.

[1989] 1. Enter the information of the deceased

[1990] Yamada Ichiro enters his personal information and a list of assets (home real estate, cash, and stocks) through the terminal.

[1991] 2. Enter information about the heirs

[1992] Yamada Taro, Yamada Hanako, and Yamada Mie each enter their own information (name, age, relationship) and desired property division (for example, Yamada Taro wants real estate, Yamada Hanako wants cash, and Yamada Mie wants stocks) on their respective devices and send it to the server.

[1993] 3. Collecting and submitting opinions

[1994] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[1995] 4. Proposal generation and presentation using generative AI

[1996] The server uses a generative AI model to analyze the opinions of each heir and generate a proposal, such as "distribute real estate equally to Yamada Taro, and cash and stocks equally to Yamada Hanako and Yamada Mie," which it then presents to the deceased and heirs.

[1997] 5. Supporting the exchange of ideas

[1998] The heirs use the chat function to exchange opinions on the proposal.

[1999] 6. Generate and review the final proposal

[2000] Based on the record of the exchange of opinions, the server generates a final proposal and presents it to Yamada Ichiro.

[2001] 7. Generate the final version of the will

[2002] Based on the confirmed content, the server generates the final version of the will and sends a digital copy to Yamada Ichiro.

[2003] This system is expected to simplify inheritance procedures, prevent disputes between family members, and ensure that inheritance procedures are satisfactory to all.

[2004] The processing flow will be explained below.

[2005] Step 1:

[2006] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[2007] Step 2:

[2008] Server: Receives information entered by the deceased in real time and stores it in a database.

[2009] Step 3:

[2010] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[2011] Step 4:

[2012] Terminal (heir): Sends the information entered by the heir to the server.

[2013] Step 5:

[2014] Server: Receives the transmitted information and stores it in a database.

[2015] Step 6:

[2016] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form.

[2017] Step 7:

[2018] User (Heir): After each heir has completed filling out the opinion collection form, he or she presses the submit button.

[2019] Step 8:

[2020] Server: Receives collected opinion data and stores it in a database.

[2021] Step 9:

[2022] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model.

[2023] Step 10:

[2024] Server: The generative AI model analyzes the optimal asset distribution plan based on the opinions of each heir and generates specific proposals.

[2025] Step 11:

[2026] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[2027] Step 12:

[2028] Device (decedent and heir): The proposed content is displayed and the heirs can exchange opinions using the chat and comment functions.

[2029] Step 13:

[2030] Server: Records the opinions and comments exchanged sequentially and stores them in a database.

[2031] Step 14:

[2032] Server: Based on the records of the discussions and the initial proposals, generates a final proposal for the distribution of assets that everyone can agree on.

[2033] Step 15:

[2034] Server: Drafts the final proposal and sends it to the decedent's device.

[2035] Step 16:

[2036] Terminal (Decedent): Provides an interface for the decedent to review the draft of the final proposal and enter any necessary corrections.

[2037] Step 17:

[2038] User (Decedent): The decedent reviews the draft and enters any necessary corrections.

[2039] Step 18:

[2040] Server: Receives the revisions and refines the final proposal.

[2041] Step 19:

[2042] Server: Generates the final version of the will and asks the decedent for final confirmation.

[2043] Step 20:

[2044] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, presses the button to officially confirm the will.

[2045] Step 21:

[2046] Server: Prints the finalized will in a legally valid format and sends a digital copy to the decedent for safekeeping.

[2047] Example 1

[2048] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2049] Currently, inheritance procedures are extremely complicated, requiring the deceased and heirs to manually organize a large amount of information. In addition, disagreements and disputes often arise between heirs, making the preparation of a will time-consuming and labor-intensive. Furthermore, the process for properly reflecting the heirs' desired asset distribution is unclear, making it difficult to reach a final result that satisfies everyone. There is a need to solve these issues.

[2050] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[2051] In this invention, the server includes a means for collecting information and opinion data of the deceased and the heirs, a means for embedding the generated proposals in a template and presenting it to the user, and a means for digitally signing the will and generating it in a legally valid format, thereby streamlining inheritance procedures, reducing disputes between heirs, and enabling the creation of a will in a format that satisfies all parties.

[2052] "Decedent" refers to the person who inherits property or assets.

[2053] "Heir" refers to a person who is entitled to inherit property or assets from a decedent.

[2054] "Means" refer to the methods or techniques used to achieve a particular goal.

[2055] "Server" refers to a computer system for receiving, processing, and storing data.

[2056] "Collected Data" refers to the information and opinions entered by the deceased and their heirs.

[2057] A "template" refers to a standard format for formally organizing generated proposals and information.

[2058] "Digital signature" refers to the process of verifying the legal validity of a will using electronic means.

[2059] A "generative AI model" refers to artificial intelligence technology that automatically generates optimal wealth distribution proposals based on collected data.

[2060] "Legal valid form" means that the will complies with legal requirements and is in a properly notarized form.

[2061] "Opinion collection form" refers to an electronic input interface through which heirs can enter their opinions and requests regarding the distribution of assets.

[2062] MODE FOR CARRYING OUT THE INVENTION

[2063] This invention is a system that utilizes generative AI models when a deceased person prepares a will, simplifying inheritance procedures and reducing disputes between family members. Its main components include a terminal for collecting and sending information about the deceased and heirs, a server that analyzes the data and generates optimal proposals, and an interface for presenting and modifying the generated proposals.

[2064] Hardware and software used

[2065] Hardware

[2066] Devices: PC, smartphone, tablet

[2067] Server: A computer server with a powerful processor and large memory capacity.

[2068] software

[2069] Database: SQL database (e.g. MySQL, PostgreSQL), NoSQL database (e.g. MongoDB)

[2070] Generative AI models: models capable of natural language processing, such as OpenAI's GPT-3

[2071] Front-end: HTML, CSS, JavaScript, frameworks like React

[2072] Backend: Server-side languages ​​such as Python and Node.js, web frameworks (e.g., Django and Express)

[2073] Program processing overview

[2074] 1. Enter the information of the deceased

[2075] Terminal (decedent): The decedent enters their name, age, list of assets, etc. into the input form on the terminal. The list of assets includes real estate, cash, stocks, etc.

[2076] Server: Receives information entered by the deceased in real time and stores it in a database.

[2077] 2. Enter information about the heirs

[2078] User (heir): Each heir enters their own information from their own device, such as their name, age, relationship to the deceased, and desired property division, and sends it to the server.

[2079] 3. Collecting and submitting opinions

[2080] Terminal (heir): Each heir enters their reasons for the desired distribution of assets and specific requests into the opinion collection form and submits it.

[2081] Server: Receives collected opinion data and stores it in a database.

[2082] 4. Proposal generation and presentation using generative AI

[2083] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model. An example of a prompt is "Please create the optimal inheritance proposal based on the following information."

[2084] Server: The AI ​​model analyzes the data and generates optimal asset distribution proposals. The proposals are embedded in templates and presented to the devices of the deceased and heirs.

[2085] 5. Supporting the exchange of ideas

[2086] Devices (decedent and heirs): Use an interface that provides chat and comment functions that allow for the exchange of opinions in real time.

[2087] 6. Generate and review the final proposal

[2088] Server: Generates a final proposal based on the records of the exchange of opinions between the heirs and provides an interface for the deceased to review and modify it.

[2089] 7. Generate the final version of the will

[2090] Server: Generates a legally valid final will based on the confirmed details, digitally signs the will, and sends a digital copy to the deceased.

[2091] Specific examples

[2092] Let's say the deceased is "Mr. A" and the heirs are "Mr. B, Mr. C, and Mr. D." Mr. A owns a home, 5 million yen in cash, and 200 shares of stock.

[2093] 1. Enter the information of the deceased

[2094] Mr. A enters his personal information and a list of his assets through the terminal.

[2095] 2. Enter information about the heirs

[2096] Mr. B, Mr. C, and Mr. D enter their information on their respective devices and send their desired property division to the server.

[2097] 3. Collecting and submitting opinions

[2098] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[2099] 4. Proposal generation and presentation using generative AI

[2100] The server uses a generative AI model to analyze the opinions of each heir and generate a proposal, for example, "Distribute the real estate to Mr. B, and the cash and stocks equally between Mr. C and Mr. D."

[2101] 5. Supporting the exchange of ideas

[2102] The heirs use the chat function to exchange opinions on the proposal.

[2103] 6. Generate and review the final proposal

[2104] Based on the records of the exchange of opinions, the server generates a final proposal and presents it to Mr. A.

[2105] 7. Generate the final version of the will

[2106] Based on the confirmed details, the server generates the final version of the will and sends a digital copy to Mr. A.

[2107] Using this system will streamline inheritance procedures, reduce disputes between family members, and enable the creation of wills that everyone can agree on.

[2108] The flow of the identification process in the first embodiment will be described with reference to FIG.

[2109] Processing Steps

[2110] Step 1: Enter the deceased's information

[2111] Terminal (decedent): The decedent enters their name, age, and a list of assets into the terminal's input form. The entered information includes real estate, cash, stocks, etc.

[2112] Input: Name, age, property list

[2113] Data processing: Formatting data entered at the terminal and converting it into data packets.

[2114] Output: The formatted data packet is sent to the server.

[2115] Specific operation: The deceased person enters information into each field of the form and presses "Submit," which sends the data to the server.

[2116] Step 2: Enter heir information

[2117] User (heir): Each heir enters their name, age, relationship to the deceased, and desired property division details into an input form on the terminal.

[2118] Input: Name, age, relationship, desired property division

[2119] Data processing: Formatting data entered at the terminal and converting it into data packets.

[2120] Output: The formatted data packet is sent to the server.

[2121] Specific operation: The heir enters information into each field of the form and presses "Submit," which sends the data to the server.

[2122] Step 3: Collect and submit feedback

[2123] Terminal (heir): Each heir enters their reasons for the desired distribution of assets and specific requests into the opinion collection form and submits it.

[2124] Input: Reason for asset distribution, specific requests

[2125] Data processing: Organizing input data and formatting it for transmission.

[2126] Output: The opinion collection data is sent to the server.

[2127] Specific operation: The heir enters their opinions and requests, presses the "Submit Opinion" button and sends the data to the server.

[2128] Step 4: Proposal generation and presentation by generative AI

[2129] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model. An example prompt is "Please create the optimal inheritance proposal based on the following information."

[2130] Input: Information on the deceased and heirs, opinion data

[2131] Data calculation: AI analyzes input data and generates optimal wealth distribution proposals. The analysis is performed using machine learning algorithms.

[2132] Output: Generated proposals

[2133] How it works: The server retrieves the necessary information from the database and inputs it to the AI ​​generator along with the prompt text. The AI ​​analyzes it, generates suggestions, and embeds them in the template.

[2134] Step 5: Facilitate exchange of ideas

[2135] Devices (decedent and heirs): Use chat and comment functions to exchange opinions in real time.

[2136] Input: Chat message between heirs

[2137] Data processing: Formatting message data into a format that can be sent and received in real time.

[2138] Output: Messages shared between heirs

[2139] Specific operation: When each heir types a message in the chat box and sends it, the message is displayed to everyone in real time.

[2140] Step 6: Generate and review the final proposal

[2141] Server: Generates a final proposal based on the records of the exchange of opinions between the heirs and provides an interface for the deceased to review and modify it.

[2142] Input: Discussion notes, initial proposal

[2143] Data calculation: Integrate the initial proposal and the records of the discussion to generate the final proposal.

[2144] Output: Final proposal

[2145] Specific operation: The server retrieves the records of the discussions and the initial proposal from the database, generates a final proposal, and presents the proposal to the deceased's device, incorporating any modifications.

[2146] Step 7: Generate the final will

[2147] Server: Generates a legally valid final will based on the confirmed details, digitally signs the will, and sends a digital copy to the deceased.

[2148] Input: Confirmation details, signature data

[2149] Data operations: Formatting the finalization, generating a legally valid will and affidavit, and digitally signing it.

[2150] Output: Final will (digital copy)

[2151] Specific operation: The server generates a PDF will based on the finalized content, affixes a digital signature, and sends it to the deceased's device.

[2152] These processing steps will help manage the inheritance process efficiently and reduce disputes between family members.

[2153] (Application example 1)

[2154] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2155] This invention aims to solve the problems of disagreements among family members and the time it takes to select the optimal security system when selecting and installing a home security system. In particular, it aims to support decision-making by efficiently collecting and analyzing the opinions of family members with diverse security needs and automatically generating optimal security proposals.

[2156] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[2157] In this invention, the server includes a means for the homeowner to input their own information, a means for other residents to input their respective information, a means for transmitting collected information and opinion data of the homeowner and other residents to the server, a means for generating an optimal home security proposal using a generative AI model, a means for presenting the generated proposal, a means for providing a chat function to support exchange of opinions between residents, a means for confirming and correcting the generated final proposal, and a means for generating a final home security system proposal, thereby enabling the homeowner and residents to efficiently exchange opinions and select and install an optimal home security system in a manner that satisfies all parties.

[2158] A "decedent" is a person who intends to distribute his or her property to his or her heirs.

[2159] An "heir" is a person who is entitled to receive a share of the decedent's assets.

[2160] A "homeowner" is a person who owns a home and selects and installs its security system.

[2161] An "occupant" is a person who lives in a home and has a say in security matters.

[2162] A "means for inputting information" is an interface through which a user inputs their data into the system.

[2163] "Means for transmitting collected information and opinion data to a server" refers to the techniques and processes for transmitting input data to a central server.

[2164] A "generative AI model" is an artificial intelligence algorithm and platform that analyzes collected data and generates optimal suggestions.

[2165] A "means for presenting suggestions" is an interface that visually or digitally displays generated suggestions to a user.

[2166] "Means to support the exchange of opinions" refers to a communication function that allows residents and heirs to exchange opinions with each other.

[2167] A "means for review and correction" is an interface that allows the user to review the generated suggestions and correct them if necessary.

[2168] A "final will" or "final residential security system proposal" means the official document or proposal that has been finally reviewed, amended, and finalized.

[2169] System Overview

[2170] This invention is a system that allows homeowners and their families (residents) to efficiently select and install security systems. The system mainly consists of a terminal for inputting information, a server for data analysis, and an interface for presenting and modifying generated proposals. The system utilizes a generative AI model to support the exchange of opinions among family members and provide optimal security system proposals.

[2171] Program processing and specific examples

[2172] Enter homeowner and resident information

[2173] The server includes a means for homeowners to input their own information and for other residents to input their information and security needs. For example, homeowners and residents use a smartphone app to input their name, age, home characteristics, desired security features, etc. The server collects this data and stores it in a database.

[2174] Gathering opinions

[2175] The server provides an opinion collection form for each resident to enter their detailed security needs and desired security features. Specific requests, such as "I want a camera installed at the entrance" or "I need intrusion detection at night," are sent to the server and stored in a database.

[2176] Generative AI generates security proposals

[2177] The server uses a generative AI model to analyze all data stored in the database. The generative AI model generates optimal security system proposals based on previous security system installations and real-time heir and homeowner data. The generated proposals are embedded into templates and presented to the homeowner's and resident's devices.

[2178] Supporting the exchange of opinions

[2179] The server provides a chat function to facilitate communication between residents. This interface allows residents to exchange ideas in real time and further discuss their needs and desires.

[2180] Generate and review the final proposal

[2181] The server generates a final security system proposal based on the records of the exchanges and the initial proposal. Homeowners and residents can use the interface to review the final proposal and make any necessary modifications. The reviewed and modified final proposal is then sent back to the server.

[2182] Generate a final security system proposal

[2183] After the final proposal has been reviewed and revised, the server generates a final security system proposal and sends a digital copy to the homeowner, allowing them to review the final configuration and officially finalize the security system.

[2184] Hardware and software used

[2185] Smartphone applications: Java / Kotlin for Android, Swift for iOS

[2186] Server-side scripting: Python, Flask

[2187] Database: PostgreSQL

[2188] Generative AI model: TensorFlow

[2189] Chat system: WebSocket or Firebase

[2190] Specific examples

[2191] A homeowner named Jiro Tanaka needs a new security system. He and his family (wife Hanako Tanaka and eldest son Taro Tanaka) each input their security needs into a smartphone app, and the system suggests the best security solution.

[2192] Prompt Sentence Examples

[2193] Name of decedent: Jiro Tanaka

[2194] Decedent's age: 55

[2195] Housing Information:

[2196] Address: 1-2-3 Minami-Aoyama, Minato-ku, Tokyo

[2197] Area: 150 square meters

[2198] Features: 2-storey house with garden

[2199] Family:

[2200] Name: Hanako Tanaka

[2201] Relationship: Wife

[2202] Age: 50

[2203] Desired security features: Entrance camera, intrusion detection system

[2204] Name: Taro Tanaka

[2205] Relationship: Eldest son

[2206] Age: 20

[2207] Desired security features: Indoor cameras, smart alarms

[2208] Based on this prompt, the generative AI model will suggest the optimal security system for the Tanaka family.

[2209] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[2210] Step 1:

[2211] Enter homeowner and resident information

[2212] The terminal provides an interface for homeowners to enter their information (name, age, home characteristics, desired security features).

[2213] Input: Homeowner's Information

[2214] Data processing / calculation: Organizing and formatting collected data

[2215] Output: Formatted data stored on the server

[2216] Step 2:

[2217] Entering resident information

[2218] The terminal provides an interface for other residents to enter their information (name, age, and home security needs).

[2219] Input: Resident information

[2220] Data processing / calculation: Organizing input data and integrating it with homeowner data

[2221] Output: Consolidated data stored on the server

[2222] Step 3:

[2223] Gathering opinions

[2224] The terminals provide a feedback form for each resident to enter detailed security needs and desired features.

[2225] Input: Opinions and wishes of each resident

[2226] Data processing / calculation: Organizing and classifying collected opinion data

[2227] Output: Organized and classified opinion data stored on the server

[2228] Step 4:

[2229] Generating security recommendations with generative AI models

[2230] The server inputs all stored data into a generative AI model for analysis.

[2231] Input: Stored homeowner and resident information, opinion data

[2232] Data processing / calculation: Data analysis using generative AI model (TensorFlow) and generation of optimal security proposals

[2233] Output: Generated security proposal

[2234] Step 5:

[2235] Presenting the proposal

[2236] The terminal provides an interface for presenting the generated security proposal to the homeowner and occupant.

[2237] Input: Generated security proposal

[2238] Data processing / calculation: Formatting of proposed data

[2239] Output: Proposals presented to homeowner and resident devices

[2240] Step 6:

[2241] Supporting the exchange of opinions

[2242] The terminals provide a chat function to facilitate the exchange of opinions between residents.

[2243] Input: Resident opinions and reactions

[2244] Data processing / calculation: Chat message storage and real-time display

[2245] Output: Real-time updated discussion log

[2246] Step 7:

[2247] Generate and review the final proposal

[2248] The server generates a new final proposal based on the record of the exchange of opinions and presents it to the homeowner and resident.

[2249] Input: Discussion log, initial proposal data

[2250] Data processing / calculation: Reanalyzing data and generating final proposals

[2251] Output: Final security proposal

[2252] Step 8:

[2253] Generate a final security system proposal

[2254] The server reviews and modifies the final proposal to generate a formal, final security system proposal and sends a digital copy to the homeowner.

[2255] Input: Reviewed and revised final proposal

[2256] Data processing / calculation: Final document generation

[2257] Output: A digital copy of the final security system proposal sent to the homeowner

[2258] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[2259] MODE FOR CARRYING OUT THE INVENTION

[2260] System Overview

[2261] This invention is a system that simplifies inheritance procedures and reduces disputes between family members by utilizing generative AI and an emotion engine when the deceased prepares a will. Its main components include a terminal for collecting and sending information about users (decedents and heirs), a server that analyzes the data and generates optimal proposals, an interface for presenting and modifying the generated proposals, and an emotion engine that recognizes the user's emotions.

[2262] Program processing and specific examples

[2263] Enter information about the deceased

[2264] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[2265] Server: Receives information entered by the deceased in real time and stores it in a database.

[2266] Entering information about heirs

[2267] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[2268] Terminal (heir): Sends the information entered by the heir to the server.

[2269] Server: Receives the transmitted information and stores it in a database.

[2270] Collecting and submitting opinions

[2271] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form. This interface includes text boxes and options.

[2272] User (inheritor): Once you have finished entering information, press the send button.

[2273] Server: Receives collected opinion data and stores it in a database.

[2274] Server: Analyzes and records the user's emotions using the emotion engine based on the input information.

[2275] Proposal generation and presentation by generative AI

[2276] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into a generative AI model. The AI ​​model analyzes the data and generates optimal asset distribution proposals.

[2277] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[2278] Emotion engine analysis

[2279] Server: Analyzes the emotional state of each heir using an emotion engine and uses this information to adjust the proposal content. For example, if an heir is highly stressed or dissatisfied, the proposal will take those emotions into consideration.

[2280] Supporting the exchange of opinions

[2281] Terminal (decedent and heir): An interface that provides chat and comment functions for heirs to exchange opinions. This interface enables real-time communication.

[2282] Server: Uses an emotion engine to recognize user emotions in real time during the exchange of opinions and adjusts the suggestions based on the exchanged opinions.

[2283] Generate and review the final proposal

[2284] Server: Based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine, generates a final proposal for asset distribution that everyone can agree on.

[2285] Terminal (Decedent): The decedent provides an interface to review the final proposal and enter any necessary corrections.

[2286] Server: Receives the confirmed details and generates the final will.

[2287] Generate the final version of the will

[2288] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent.

[2289] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, the will is officially finalized.

[2290] Specific examples

[2291] Let's assume that the deceased is "Ichiro Suzuki" and the heirs are "eldest son Taro Suzuki," "eldest daughter Hanako Suzuki," and "younger sister Mie Suzuki." Ichiro Suzuki owns a home, 10 million yen in cash, and 300 shares of stock.

[2292] 1. Enter the information of the deceased

[2293] Suzuki Ichiro enters his personal information and a list of assets (home real estate, cash, and stocks) through the terminal.

[2294] 2. Enter information about the heirs

[2295] Suzuki Taro, Suzuki Hanako, and Suzuki Mie each enter their own information (name, age, relationship) and desired property division (for example, Suzuki Taro wants real estate, Suzuki Hanako wants cash, and Suzuki Mie wants stocks) on their respective devices and send it to the server.

[2296] 3. Collecting and submitting opinions

[2297] Each heir fills out an opinion collection form stating the reasons for their desired distribution of assets and submits it.

[2298] 4. Analysis by Emotion Engine

[2299] When collecting opinions, the emotion engine analyzes the emotions from the heirs' input and stores them in a database.

[2300] 5. Proposal generation and presentation using generative AI

[2301] The server uses a generative AI model to analyze the opinions and emotions of each heir, and generates a proposal, for example, "Distribute the real estate to Suzuki Taro, and the cash and stocks equally between Suzuki Hanako and Suzuki Mie," which it then presents to the deceased and the heirs.

[2302] 6. Supporting the exchange of ideas

[2303] The heirs use the chat function to exchange opinions on the proposals. The emotion engine recognizes the emotions of each heir in real time and provides appropriate feedback to the server.

[2304] 7. Generate and review the final proposal

[2305] Based on the records of the exchange of opinions and the analysis results from the emotion engine, the server generates a final proposal and presents it to Suzuki Ichiro.

[2306] 8. Generate the final will

[2307] Based on the confirmed details, the server generates the final version of the will and sends a digital copy to Suzuki Ichiro.

[2308] This system will allow inheritance procedures to proceed while taking into consideration the feelings of the deceased and the heirs, and is expected to lead to a smoother inheritance that is satisfactory to all.

[2309] The processing flow will be explained below.

[2310] Step 1:

[2311] Terminal (decedent): The decedent enters their name, age, and list of assets (real estate, cash, stocks, etc.).

[2312] Step 2:

[2313] Server: Receives information entered by the deceased in real time and stores it in a database.

[2314] Step 3:

[2315] User (heir): Each heir enters information such as their name, age, relationship to the deceased, and desired property division on their own device.

[2316] Step 4:

[2317] Terminal (heir): Sends the information entered by the heir to the server.

[2318] Step 5:

[2319] Server: Receives the transmitted information and stores it in a database.

[2320] Step 6:

[2321] Terminal (Heir): Each heir enters their reasons for the desired distribution of assets and their specific requests through an opinion collection form.

[2322] Step 7:

[2323] User (Heir): After each heir has completed filling out the opinion collection form, he or she presses the submit button.

[2324] Step 8:

[2325] Server: Receives collected opinion data and stores it in a database.

[2326] Step 9:

[2327] Server: Analyzes and records the user's emotions using the emotion engine based on the input information.

[2328] Step 10:

[2329] Server: Collects information and opinion data of the deceased and heirs stored in a database and inputs it into the generative AI model.

[2330] Step 11:

[2331] Server: The generative AI model analyzes the optimal asset distribution plan based on the opinions of each heir and generates specific proposals.

[2332] Step 12:

[2333] Server: The generated proposal is embedded into a template and presented to the devices of the deceased and the heir.

[2334] Step 13:

[2335] Device (decedent and heir): The proposed content is displayed and the heirs can exchange opinions using the chat and comment functions.

[2336] Step 14:

[2337] Server: Uses an emotion engine to recognize user emotions in real time during the exchange of opinions and adjusts the suggestions based on the exchanged opinions.

[2338] Step 15:

[2339] Server: Records the opinions and comments exchanged sequentially and stores them in a database.

[2340] Step 16:

[2341] Server: Based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine, generates a final proposal for asset distribution that everyone can agree on.

[2342] Step 17:

[2343] Server: Drafts the final proposal and sends it to the decedent's device.

[2344] Step 18:

[2345] Terminal (Decedent): Provides an interface for the decedent to review the draft of the final proposal and enter any necessary corrections.

[2346] Step 19:

[2347] User (Decedent): The decedent reviews the draft and enters any necessary corrections.

[2348] Step 20:

[2349] Server: Receives the revisions and refines the final proposal.

[2350] Step 21:

[2351] Server: Generates the final version of the will and asks the decedent for final confirmation.

[2352] Step 22:

[2353] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, presses the button to officially confirm the will.

[2354] Step 23:

[2355] Server: Prints the finalized will in a legally valid format and sends a digital copy to the decedent for safekeeping.

[2356] Example 2

[2357] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2358] Conventional inheritance procedures require the gathering of a great deal of information and the exchange of opinions between the deceased and the heirs, resulting in a time-consuming and labor-intensive process. Furthermore, emotional conflicts and differences of opinion often arise, potentially leading to disputes between family members. Therefore, there was a need for a system that could smoothly proceed with inheritance procedures while taking into account the emotional state of the family members.

[2359] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[2360] In this invention, the server includes a means for collecting and transmitting information and opinion data of the deceased and the heirs, a means including an emotion engine for analyzing the emotion data of each heir, and a means for adjusting the proposal content using a generative AI model based on the emotional state, thereby making it possible to generate and adjust optimal property distribution proposals that reflect the opinions and wishes of each heir while minimizing emotional conflicts.

[2361] "Decedent" refers to an individual who dies and leaves behind an estate.

[2362] "Heir" refers to any person or entity entitled to receive the estate of a decedent.

[2363] "Collected information" refers to personal data and opinion data entered by the deceased and their heirs.

[2364] "Server" refers to a computer system used to store and process collected information.

[2365] "Generative AI model" refers to algorithms or software that use artificial intelligence techniques to generate optimal wealth distribution proposals.

[2366] An "emotion engine" refers to software or algorithms that analyze user input data and identify its emotions.

[2367] An "opinion collection form" refers to an interface that allows heirs to input their opinions and wishes.

[2368] "Final proposal" refers to the optimal asset distribution proposal generated based on the collected information and analysis results.

[2369] A "will" is a legally binding document that expresses the final wishes of the deceased.

[2370] "Device" refers to an electronic device used by the decedent and his / her heirs to enter information.

[2371] MODE FOR CARRYING OUT THE INVENTION

[2372] System Overview

[2373] This invention is a system that simplifies inheritance procedures and reduces disputes between family members by utilizing generative AI and an emotion engine when the deceased prepares a will. The main components include a terminal for collecting information on users (decedents and heirs), a server that analyzes the data and generates optimal proposals, an interface for presenting and modifying the generated proposals, and an emotion engine that recognizes the user's emotions.

[2374] System configuration

[2375] The system includes the following major components:

[2376] 1. Device: An electronic device on which the deceased and the heirs enter their information and opinions. Examples include personal computers (PCs), tablets, and smartphones. A dedicated application runs on the device, allowing the necessary data to be entered.

[2377] 2. Server: A computer system for receiving, storing, and analyzing information sent by the deceased and the heirs. This server is equipped with a database for storing large amounts of data, a generative AI model for analyzing information, and an emotion engine for recognizing user emotions.

[2378] 3. Generative AI model: Software using artificial intelligence technology installed on a server that analyzes input data from the deceased and heirs and generates optimal asset distribution proposals.

[2379] 4. Emotion engine: Software installed on the server analyzes emotions from text data entered by the user, and the generative AI model adjusts suggestions based on that data.

[2380] Program processing flow

[2381] Enter information about the deceased

[2382] Device (decedent): The decedent launches the dedicated application and enters information such as their name, age, and a list of assets (real estate, cash, stocks, etc.). Specifically, they enter text into each field and press the "Send" button.

[2383] Server: Receives the information entered by the deceased in real time, encrypts it, and stores it in the database. Specifically, it receives HTTP requests and stores the information in JSON format.

[2384] Entering information about heirs

[2385] Users (heirs): Each heir launches a dedicated application on their own device and enters their name, age, relationship to the deceased, and desired property distribution. Specifically, they enter text into each field and press the "Send" button.

[2386] Terminal (inheritor): Sends the information entered by the inheritor to the server. Specifically, it sends an HTTP POST request to the server.

[2387] Server: Receives the transmitted information, encrypts it, and stores it in a database, specifically by parsing the information and inserting it into a SQL database.

[2388] Specific examples

[2389] Let's say the deceased is "Mr. A" and the heirs are "Mr. B," "Mr. C," and "Mr. D." Mr. A owns a home, 10 million yen in cash, and 300 shares of stock.

[2390] 1. Enter the decedent's information:

[2391] Mr. A enters his personal information and a list of assets (home real estate, cash, stocks) through the terminal and sends it. The server receives this and stores it in the database.

[2392] 2. Enter the heir information:

[2393] Mr. B, Mr. C, and Mr. D each enter their own information (name, age, relationship) and desired property division (e.g. Mr. B wants real estate, Mr. C wants cash, Mr. D wants stocks) into their terminals and send it to the server.

[2394] 3. Collecting and submitting opinions:

[2395] Each heir enters their desired reasons for the distribution of assets into an opinion collection form and submits it. The server receives this and analyzes it using an emotion engine.

[2396] 4. Proposal generation and presentation by generative AI:

[2397] The server uses a generative AI model to generate proposals from the input information, such as "distribute real estate to Mr. B, and cash and stocks equally between Mr. C and Mr. D," and presents them to each device.

[2398] Prompt Sentence Examples

[2399] "Please provide optimal asset distribution proposals based on each heir's wishes and emotional data."

[2400] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2401] Step 1:

[2402] Enter information about the deceased

[2403] Terminal (decedent): The decedent launches the dedicated application and enters their name, age, and asset list (real estate, cash, stocks, etc.). Enter text in each field and press the "Send" button.

[2404] Input: Name of decedent, age, and list of assets.

[2405] Server: Receives information entered by the deceased in real time, encrypts it, and stores it in the database. Receives HTTP requests and stores the information in JSON format.

[2406] Output: The encrypted decedent's information is stored in the database.

[2407] Step 2:

[2408] Entering information about heirs

[2409] Users (heirs): Each heir launches the dedicated application on their own device and enters their name, age, relationship to the deceased, and desired property division. They enter text into each field and press the "Send" button.

[2410] Input: Name of heir, age, relationship, and desired division of assets.

[2411] Terminal (inheritor): Sends the information entered by the inheritor to the server by sending an HTTP POST request to the server.

[2412] Output: The heir's information is sent to the server.

[2413] Server: Receives the transmitted information, encrypts it and stores it in a database. Parses the information and inserts it into a SQL database.

[2414] Output: Encrypted heir information is stored in the database.

[2415] Step 3:

[2416] Collecting and submitting opinions

[2417] Terminal (Heir): Each heir enters the reasons for the desired distribution of assets and specific requests through an opinion collection form. This interface includes text boxes and options. Then, the heir presses the "Submit" button.

[2418] Input: The opinions and wishes of the heirs.

[2419] User (inheritor): After completing the input, press the submit button. The form contents are confirmed and an HTTP POST request is sent to the server.

[2420] Output: The heir's opinion is sent to the server.

[2421] Server: Receives collected opinion data, encrypts it and stores it in a database. Analyzes the opinion data and stores it in a database.

[2422] Output: Encrypted opinion data is stored in a database.

[2423] Server: Sends input information to the emotion engine and analyzes the user's emotions. Natural language processing technology is used to analyze the text and generate emotion data.

[2424] Output: Emotion data is generated and stored in a database.

[2425] Step 4:

[2426] Proposal generation and presentation by generative AI

[2427] Server: Collects information and opinion data of the deceased and heirs stored in the database and inputs it into the generative AI model. Generates prompt sentences and sends them to the AI ​​model.

[2428] Input: Decedent and heir information and opinion data.

[2429] Server: Generates optimal asset distribution proposals based on the analysis results of the AI ​​model. The proposals are embedded in templates.

[2430] Output: A wealth distribution proposal is generated.

[2431] Server: Sends the generated proposal to the devices of the deceased and the heir. Converts the proposal content into HTML format and sends it to the device as an HTTP response.

[2432] Output: Suggestions are displayed on the terminal.

[2433] Step 5:

[2434] Emotion engine analysis

[2435] Server: Analyzes each heir's emotional state using an emotion engine to help adjust the proposal. Reanalyzes the emotional data and reflects it in the proposal.

[2436] Input: sentiment data, wealth distribution proposal.

[2437] Server: If there are heirs who are stressed or dissatisfied, we will make proposals that take their feelings into consideration. We will adjust the proposal content more flexibly.

[2438] Output: Emotion-sensitive suggestions are generated.

[2439] Step 6:

[2440] Supporting the exchange of opinions

[2441] Terminal (decedent and heir): An interface is displayed that provides chat and comment functions for heirs to exchange opinions. Each person enters a comment and presses the "Send" button.

[2442] Input: Comments and opinions.

[2443] Server: When an opinion is sent, receive the chat content and save it in the database. Analyze the chat message and add it to the database.

[2444] Output: The chat transcript is saved in a database.

[2445] Server: Analyzes user emotions in real time during the exchange of opinions using an emotion engine and adjusts the content of suggestions based on the exchanged opinions. Dynamically adjusts the content of suggestions using emotion data.

[2446] Output: Real-time tailored recommendations are generated.

[2447] Step 7:

[2448] Generate and review the final proposal

[2449] Server: Generates a final proposal for property distribution that everyone can agree on based on the records of opinion exchanges, initial proposals, and analysis results from the emotion engine. Past opinions and emotion data are integrated to generate the optimal proposal.

[2450] Input: Discussion transcript, initial proposal, sentiment data.

[2451] Server: Embeds the final proposal into a template and sends it to the deceased's and heir's devices.

[2452] Output: A final proposal is generated and displayed on the terminal.

[2453] Terminal (decedent): The decedent provides an interface for reviewing the final proposal and making any necessary corrections. After reviewing the proposal and making any necessary corrections, the decedent presses the "Final" button.

[2454] Input: Review and revise the final proposal.

[2455] Output: The final proposal is confirmed and saved in the database.

[2456] Server: Receives the finalized content and generates the final will. Legalizes the final proposal and digitally signs it.

[2457] Step 8:

[2458] Generate the final version of the will

[2459] Server: Generates the final will in a legally valid format and sends a digital copy to the decedent. Generates the final will in PDF format and sends it over a secure communication channel.

[2460] Input: Final confirmed proposal.

[2461] Output: The final will is generated in digital format.

[2462] Terminal (decedent): The decedent makes a final confirmation, and if there are no problems, officially confirms the will. He / she digitally signs it and presses the "Confirm" button.

[2463] Output: A final, legally valid will is confirmed.

[2464] (Application example 2)

[2465] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2466] When it comes to business succession, it can be difficult to resolve differences of opinion and emotional conflicts that arise between the successor and the person being inherited, and to ensure a smooth succession process. Furthermore, succession plans that do not take emotions into consideration can cause dissatisfaction and stress for the successor, resulting in an incomplete succession. It is necessary to solve this problem and realize a business succession in a way that satisfies all parties involved.

[2467] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[2468] In this invention, the server includes a means for inputting and collecting information for business succession, a means for proposing an optimal succession plan using a generative AI and an emotion engine, and a means for recognizing the emotional states of the successor and predecessor in real time and adjusting the content of the proposal. This makes it possible to minimize emotional conflicts during business succession and to smoothly proceed with the succession process.

[2469] A "decedent" is a person who leaves an inheritance.

[2470] An "heir" is a person who is entitled to receive an inheritance.

[2471] A "server" is a computer system that stores and analyzes collected information and runs generative AI and emotion engines.

[2472] "Generative AI" is artificial intelligence that generates optimal asset distribution and business succession plans based on collected data.

[2473] An "emotion engine" is a system that analyzes a user's emotional state from input opinions and information.

[2474] A "succession plan" is a plan for transferring the business of a predecessor to a successor.

[2475] The "opinion collection form" is an interface that allows heirs and successors to input their opinions and wishes.

[2476] "Emotional state" refers to the emotional state when a user expresses their opinion or wish.

[2477] A "prompt" is a document that provides instructions to a generative AI model.

[2478] The present invention is a system for smoothly carrying out business succession between the deceased and the heirs. The system includes a series of steps in which the deceased and the heirs input information, collect and analyze it, and generate an optimal succession plan.

[2479] System configuration

[2480] The system includes the following main components:

[2481] 1. A device for the deceased and the heirs to enter information

[2482] 2. A server that analyzes the collected information and generates recommendations

[2483] 3. An interface for viewing and modifying suggestions

[2484] 4. Emotion engine that analyzes user emotions

[2485] Program processing

[2486] The server assists in the business succession process through the following processes:

[2487] 1. Information input and collection:

[2488] The deceased and the heirs enter their personal information on their respective devices, including their name, age, list of assets, and desired distribution of assets.

[2489] The server receives this information in real time and stores it in a database.

[2490] 2. Opinion collection and sentiment analysis:

[2491] Each heir enters their reasons for wanting to distribute assets and their specific requests through an opinion collection form. The data is sent to a server, where an emotion engine analyzes each heir's emotional state.

[2492] The analyzed emotion data is stored in a database and used for subsequent suggestion generation.

[2493] 3. Proposal generation:

[2494] Based on the collected information and analysis results, the server uses a generative AI model to generate the optimal business succession plan.

[2495] The generated proposals reflect the feelings and wishes of each heir and are embedded in templates and presented to the deceased and heirs.

[2496] Hardware and software used

[2497] Hardware: Smartphones, tablets (devices)

[2498] Server: Cloud server (AWS, GCP, etc.)

[2499] Software: Python, Flask (used as an API server), generative AI model (based on GPT-4)

[2500] Emotion Engine: Emotion Analysis Tool

[2501] Specific examples

[2502] Next, we will show some specific examples.

[2503] Enter information

[2504] The decedent (shop owner) uses their own device to enter the following information:

[2505] Name of decedent:〇〇, Ichiro

[2506] Age: 55

[2507] Assets: Shop (XX Shop), Cash: 20 million yen

[2508] Enter heir information

[2509] Each heir enters the following information:

[2510] Heir 1 (son, Taro): Name, age, relationship, desired distribution of assets

[2511] Heir 2 (daughter, Hanako): Name, age, relationship, desired distribution of assets

[2512] Gathering opinions

[2513] The heirs enter the following opinions:

[2514] Taro: I want to be involved in running a store.

[2515] Hanako: I need cash.

[2516] Emotion analysis

[2517] The sentiment engine analyzes the input opinions and stores the results.

[2518] Proposal generation

[2519] The server uses a generative AI model to generate the optimal business succession plan and presents it to the deceased.

[2520] Prompt Sentence Examples

[2521] Name of deceased: XX, Ichiro, Age: 55, Assets: XX Store (store), Cash: 20 million yen

[2522] Heir 1: Name: Taro, Age: 30, Relationship: Son, Hope: Want to be involved in store management

[2523] Heir 2: Name: Hanako, Age: 25, Relationship: Daughter, Need: Cash

[2524] Emotional analysis results: 〇〇Taro (confidence), 〇〇Hanako (anxiety)

[2525] Use these to generate an appropriate estate succession plan.

[2526] This generates an optimal business succession plan that takes into account the opinions and feelings of the deceased and the heirs.

[2527] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2528] Step 1:

[2529] The deceased enters their own information.

[2530] input

[2531] The deceased person enters their name, age, and list of assets (real estate, cash, etc.) into the terminal.

[2532] Data Processing

[2533] The terminal converts the input information into a format and sends it to the server.

[2534] output

[2535] The server stores the received information in a database.

[2536] Step 2:

[2537] The heirs enter their respective information.

[2538] input

[2539] The heirs enter information such as their name, age, relationship, and desired distribution of assets into the terminal.

[2540] Data Processing

[2541] The terminal converts the input information into a format and sends it to the server.

[2542] output

[2543] The server stores the received information in a database.

[2544] Step 3:

[2545] The heirs enter their desired reasons for asset distribution and specific requests into the opinion collection form.

[2546] input

[2547] The heirs enter their wishes into the opinion collection form and press the submit button.

[2548] Data Processing

[2549] The terminal formats the input opinion data and transmits it to the server.

[2550] output

[2551] The server stores the opinion data in a database.

[2552] Step 4:

[2553] Analyze user emotions using an emotion engine.

[2554] input

[2555] The server obtains the opinion data of the heirs from the database.

[2556] Data Calculation

[2557] An emotion engine analyzes the opinion data to identify the emotional state of each heir.

[2558] output

[2559] The analysis results are saved in a database.

[2560] Step 5:

[2561] The server uses a generative AI model to generate an optimal succession plan.

[2562] input

[2563] The server retrieves information about the deceased and the heirs and the results of emotion analysis from the database.

[2564] Data Calculation

[2565] The generative AI model generates prompt statements based on the acquired data, analyzes them, and generates the optimal succession plan.

[2566] output

[2567] The generated succession plan is stored in a database and presented to the terminals of the deceased and the heirs.

[2568] Step 6:

[2569] The deceased and their heirs will review the succession plan and make any necessary amendments.

[2570] input

[2571] The decedent and heirs review the proposed succession plan and enter any amendments.

[2572] Data Processing

[2573] The terminal formats the modified content and sends it to the server.

[2574] output

[2575] The server receives the revised information and updates the final succession plan.

[2576] Step 7:

[2577] Generate a final will based on your final succession plan.

[2578] input

[2579] The server obtains the final version of the succession plan data.

[2580] Data Calculation

[2581] The server converts the data into a legally valid format and generates the will.

[2582] output

[2583] The server sends the generated will to the deceased's terminal.

[2584] The above steps will ensure that the business succession proceeds smoothly while taking into consideration emotions and opinions.

[2585] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[2586] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2587] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2588] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2589] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[2590] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[2591] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[2592] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[2593] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[2594] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[2595] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[2596] In the above embodiment, an example was given in which the specific processing is...

Claims

1. A means for the decedent to enter their own information; A means for heirs to enter their respective information; A means for transmitting the collected information and opinion data of the deceased and the heirs to a server; means for presenting the generated proposals; means to support the exchange of ideas between heirs; a means for reviewing and correcting the final proposals generated; a means for generating a final version of the will; A system including:

2. 2. The system of claim 1, further comprising means for providing an opinion collection form for inputting the opinions and wishes of each heir.

3. 10. The system of claim 1, further comprising means for analyzing the collected data and including a generative AI model for generating optimal wealth distribution proposals.

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