System

Abstract

A system is provided.SOLUTION: The system includes means for inputting information of a person to be inherited, means for inputting a list of assets of the person, means for transmitting the inputted information to a server, means for verifying information received by the server, means for transmitting data after verification to a generation AI model to generate a template of a will and a will distribution list, means for transmitting the generated template of the will and the will distribution list to a terminal of a user, means for allowing the user to confirm and correct a generation result, and means for transmitting corrected data to the server again to generate the template of the will and the will distribution list again.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including 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] A legally compliant will is necessary to ensure smooth inheritance procedures. However, creating a will is complex and requires specialized knowledge, making it difficult for the average person to do it on their own. Furthermore, creating documents related to inheritance takes a lot of time and effort, and there is a risk of errors occurring during the process. This increases the risk of inheritance disputes and legal issues. As such, there is a need for a method to easily create an accurate will and inheritance distribution list. [Means for solving the problem]

[0005] The present invention provides a system that automatically generates legally compliant will and estate distribution list templates simply by inputting information about the heirs and a list of their assets. Specifically, the system includes a means for inputting information about the heirs, a means for inputting the heirs' asset list, a means for transmitting the input information to a server, a means for the server to verify the received information, a means for passing the verified data to a generation AI model to generate will and estate distribution list templates, a means for transmitting the generated will and estate distribution list templates to a user's device, a means for the user to check and modify the generated results, and a means for transmitting the modified data back to the server to regenerate the modified will and estate distribution list templates. This system enables wills and estate distribution lists to be created easily and accurately, even without specialized knowledge, facilitating smooth inheritance procedures.

[0006] "Information on the heir" refers to personal information such as the name, age, and relationship of the candidate to inherit.

[0007] A "list of assets" is a list of the types of assets held by the testator, such as cash, real estate, and stocks, and their amounts.

[0008] "Input means" refers to the interface or form through which a user enters information.

[0009] "Server" refers to a central processing unit for receiving and processing information sent by users.

[0010] A "generative AI model" is a program that uses artificial intelligence technology to analyze input data and automatically generate templates for wills and estate distribution lists.

[0011] A "template will" is a document created in accordance with the law that has the basic format required to become a formal will.

[0012] An "inheritance distribution list" is a list of the specific distribution of an inheritance to the heirs.

[0013] A "terminal" is a computing device that allows a user to input information and communicate with a server, and includes personal computers, smartphones, and the like.

[0014] "Validation" is the process of ensuring that entered data is accurate and appropriate.

[0015] "Correction" refers to the act of the user appropriately correcting any defects in the generated document. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets.

[0038] This system is equipped with a means for users to input information about the heirs and a list of their assets. The user first enters personal information such as the name, age, and relationship of the heir into an input form. The user also enters the types of assets (cash, real estate, stocks, etc.) and their amounts for the list of assets. This data is then sent from the terminal to the server.

[0039] The server converts the received data into the appropriate format and validates the data. This validation process checks whether each field is entered correctly and generates an error message to notify the user if there are any errors. At this stage, the user can correct the errors and resubmit the data.

[0040] Once verification is complete, the server passes the data to a generative AI model, which then generates a template will and inheritance distribution list. The generated will template contains the specific inheritance distribution details for each heir in accordance with the law. An inheritance distribution list is also generated in the same way, describing the specific inheritance distribution for each heir.

[0041] The generated will and inheritance distribution list templates are sent from the server to the user's device. The user can review these documents and make any necessary corrections or corrections. Once the user enters and submits the corrected data, the server again verifies the data and generates an updated will and inheritance distribution list using an AI model.

[0042] As a specific example, consider the case where user A enters the following information:

[0043] Inheritance recipients:

[0044] Name: Taro Tanaka

[0045] Age: 45

[0046] Relationship: Children

[0047] Name: Hanako Tanaka

[0048] Age: 42

[0049] Relationship: Children

[0050] Your asset list:

[0051] Cash: 5 million yen

[0052] Real estate: 100 million yen (home)

[0053] Stock: 20 million yen

[0054] First, User A enters the names of heirs and a list of assets into an input form and sends the data to the server. The server receives the data and verifies it. If there are no problems, the generative AI model is activated and a template will and inheritance distribution list is generated, as shown below.

[0055] Will (template):

[0056] I, Yamada Ichiro, hereby leave the following will.

[0057] 1. Yamada Taro will inherit 5 million yen in cash.

[0058] 2. Yamada Taro and Yamada Hanako will each inherit half of the home real estate (valued at 100 million yen).

[0059] 3. Yamada Hanako will inherit 20 million yen worth of stocks.

[0060] Reiwa X year Y month Z day

[0061] Ichiro Yamada

[0062] This document is sent to User A, who checks the contents. If any corrections are needed, the user enters the corrections and resubmits the document. The server receives it and regenerates it. By repeating this process, User A can obtain an accurate will and inheritance distribution list that complies with the law.

[0063] A key feature of this system is that all processing steps are automated, making it easy to use even for those without specialized knowledge, allowing users to quickly and efficiently create wills and estate distribution lists.

[0064] The processing flow will be explained below.

[0065] Step 1:

[0066] The user enters the information of the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into the tool's input form. Once the input is complete, the user clicks the send button to send the data from the device to the server.

[0067] Step 2:

[0068] The terminal converts the input data into JSON format and sends it to the server, which receives the request.

[0069] Step 3:

[0070] The server analyzes the received data and verifies that each item (name, age, relationship, asset list) is entered in the correct format. If there are any errors, an error message is generated and the verification result is sent to the terminal.

[0071] Step 4:

[0072] The terminal notifies the user of the verification result received from the server. The user makes the necessary corrections based on the error message and submits the data again.

[0073] Step 5:

[0074] The server re-verifies the re-submitted data, and once it has confirmed that all data has been entered in the correct format, it passes the verified data to the generative AI model.

[0075] Step 6:

[0076] The generative AI model uses the verified data to generate a template for a will and inheritance distribution list. Specifically, it analyzes the information of the heirs and the asset list, and determines the distribution details for each heir in accordance with the Civil Code.

[0077] Step 7:

[0078] The server converts the generated will and inheritance distribution list templates into JSON format and sends them to the terminal.

[0079] Step 8:

[0080] The device converts the data received from the server into an appropriate UI format and displays it to the user. The user checks the generated template and makes any necessary corrections.

[0081] Step 9:

[0082] The user enters the corrections into the input form and sends the data again from the terminal to the server.

[0083] Step 10:

[0084] The server again verifies the received revised data and passes it to the generative AI model to regenerate the will and estate distribution list. This process is carried out by repeating steps 4 to 7.

[0085] Example 1

[0086] 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."

[0087] In the past, creating wills and estate distribution lists required specialized knowledge, and creating accurate documents in accordance with the law required a great deal of time and effort. Furthermore, manual processing was prone to input errors and formatting errors, requiring repeated corrections, making it extremely inefficient. The present invention aims to solve these problems by providing a system that allows users to easily and quickly automatically generate wills and estate distribution lists that comply with the law.

[0088] 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.

[0089] In this invention, the server includes means for inputting information about the heir, means for inputting a list of the heir's assets, means for converting the input information into a data format and sending it to the server, means for converting the format of the information received by the server and verifying the data, means for converting the verified data into a prompt for the generative AI model, means for passing the prompt to the generative AI model and generating a template for a will and an estate distribution list, means for sending the generated template for a will and estate distribution list to the user's terminal, means for the user to check and correct the generated results, and means for sending the corrected data back to the server, re-verifying it, and re-generating the corrected template for a will and estate distribution list using the generative AI model. This allows legally compliant templates for a will and estate distribution list to be automatically created based on the information entered by the user, and subsequent corrections to be made accurately and quickly.

[0090] "Information on the person to be inherited" refers to personal information about the person to be inherited, such as name, age, and relationship.

[0091] "List of assets of the person" refers to a list of the types of assets owned by the person, such as cash, real estate, stocks, etc., and their amounts.

[0092] "Means for converting into a data format" refers to the process of converting the information entered by the user into a format that is easy to process within the system.

[0093] "Means for transmitting to the server" refers to the process of transmitting data from the user terminal to the server using a communication protocol.

[0094] "Means for converting the format of information received by the server" refers to the process by which the server converts the data received into a data format for internal processing.

[0095] "Means for validating data" refers to a process that verifies the accuracy and completeness of received data and generates an error message if there are any deficiencies.

[0096] "Means for converting the data into prompts for the generative AI model" refers to the process of converting the verified data into a document (prompt) in a format that can be understood by the generative AI model.

[0097] "Means for passing a prompt sentence to a generative AI model" refers to the process of providing the converted prompt sentence to the generative AI model and causing it to start processing.

[0098] "Means for generating a template will and estate distribution list" refers to the process by which a generative AI model creates an initial version of a will and estate distribution list based on prompt text.

[0099] "Means for transmitting the generated template of the will and inheritance distribution list to the user's terminal" refers to the process of delivering the generated documents to the user's terminal.

[0100] "Means for the user to check and correct the generated results" refers to the process by which the user checks the will and inheritance distribution list generated on the terminal and makes changes as necessary.

[0101] "Means of sending the revised data back to the server, re-validating it, and then re-generating the revised will and inheritance distribution list template using the generative AI model" refers to the process of sending the user's revisions back to the server, validating and generating them again, and creating the latest documents.

[0102] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets.

[0103] Hardware and software used

[0104] The system is implemented using the following hardware and software.

[0105] Hardware: User devices (PCs, tablets, smartphones, etc.), servers (hosting databases and AI models)

[0106] Software: input form programs (web applications), server-side scripts (data validation and processing), generative AI models (e.g., GPT-3)

[0107] Specific operation of the system

[0108] 1. User information input and data submission

[0109] The user enters the information of the heir and a list of his / her assets into the input form of the web application. For example, the user enters the following information:

[0110] Inheritance recipients:

[0111] Name: Taro Tanaka

[0112] Age: 45

[0113] Relationship: Children

[0114] Name: Hanako Tanaka

[0115] Age: 42

[0116] Relationship: Children

[0117] Your asset list:

[0118] Cash: 5 million yen

[0119] Real estate: 100 million yen (home)

[0120] Stock: 20 million yen

[0121] Once the input is complete, the device sends this information to the server in JSON format.

[0122] 2. Server data reception and format conversion

[0123] The server receives the JSON data and converts it into an internal data format, such as a Python dictionary, to facilitate further processing.

[0124] 3. Data Verification

[0125] The server verifies that each item in the received data has been entered properly. If there is an error, it generates an error message and sends it to the terminal to notify the user. The message might be something like "Your age has not been entered."

[0126] 4. Generate prompts for the data

[0127] The server creates a prompt for the generative AI model based on the validated data. For example, the following prompt is generated:

[0128] Prompt statement:

[0129] Inheritors: Taro Tanaka (age 45, child) and Hanako Tanaka (age 42, child)

[0130] Asset list: 5 million yen in cash, 100 million yen in real estate (home), 20 million yen in stocks

[0131] Based on this information, please generate a template will and estate distribution list using the following content.

[0132] 5. Generation of wills and estate distribution lists

[0133] The server sends the generated prompts to a generative AI model (e.g., GPT-3) to generate a template for a will and inheritance distribution list. This AI model generates legally compliant documents based on a large amount of training data.

[0134] Generation example:

[0135] I, Yamada Ichiro, hereby leave the following will.

[0136] 1. Taro Tanaka will inherit 5 million yen in cash.

[0137] 2. Taro Tanaka and Hanako Tanaka will each inherit half of the home real estate (valued at 100 million yen).

[0138] 3. Hanako Tanaka will inherit 20 million yen worth of stocks.

[0139] Reiwa X year Y month Z day

[0140] Ichiro Yamada

[0141] 6. Sending and Modifying Generated Results to the User

[0142] The generated will and inheritance distribution list are sent from the server to the user's terminal, where the user can confirm the contents. The user can then amend the documents on the terminal as necessary and send the amended data back to the server.

[0143] 7. Modify and Regenerate

[0144] The server then verifies the revised data again and uses the generative AI model to regenerate the revised will and estate distribution list, ultimately providing the user with a satisfactory document.

[0145] In this way, by using this system, users can easily and quickly create wills and inheritance distribution lists that comply with the law, even if they do not have specialized knowledge.

[0146] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0147] Step 1:

[0148] The user enters inheritance information

[0149] Specific operation:

[0150] The user enters the information of the heir (name, age, relationship, etc.) and a list of the person's assets (e.g., 5 million yen in cash, 100 million yen in real estate, 20 million yen in stocks) into the input form. A JSON-formatted string is generated as the input data.

[0151] input:

[0152] Inheritance information, asset list information

[0153] output:

[0154] Input data in JSON format

[0155] Step 2:

[0156] The device sends the data to the server

[0157] Specific operation:

[0158] Once the user input is complete, the device sends the generated JSON formatted data to the server using HTTP POST as the communication protocol.

[0159] input:

[0160] Input data in JSON format

[0161] output:

[0162] Request to send data to the server

[0163] Step 3:

[0164] The server receives the data and converts it

[0165] Specific operation:

[0166] The server receives the JSON data and converts it into a Python dictionary, which makes it easier to validate and generate the data.

[0167] input:

[0168] Received JSON data

[0169] output:

[0170] Python dictionary data

[0171] Step 4:

[0172] The server validates the data

[0173] Specific operation:

[0174] The server verifies that each item in the received data has been entered correctly. For example, it checks that the age is a number and that there are no errors in the asset list. If there are any errors, it generates an error message and sends it to the terminal.

[0175] input:

[0176] Python dictionary data

[0177] output:

[0178] Validation result (success or error message)

[0179] Step 5:

[0180] Data prompt generation

[0181] Specific operation:

[0182] If the verification is successful, the server converts the data into a prompt for the generative AI model. For example, it generates a prompt in the format "Inheritors: Taro Tanaka (age 45, child) and Hanako Tanaka (age 42, child). Asset list: 5 million yen in cash, 100 million yen in real estate (home), 20 million yen in stock."

[0183] input:

[0184] Verified Data

[0185] output:

[0186] Prompt statement

[0187] Step 6:

[0188] The server sends the prompt to the generative AI model.

[0189] Specific operation:

[0190] The server sends the generated prompt to the generative AI model (e.g., GPT-3) and sends a request using the API endpoint for the AI ​​model.

[0191] input:

[0192] Prompt statement

[0193] output:

[0194] Requests to a generative model

[0195] Step 7:

[0196] Generative AI model generates wills and estate plans

[0197] Specific operation:

[0198] The generative AI model generates a template for a will and inheritance distribution list based on the prompt text and sends the results back to the server.

[0199] input:

[0200] Prompt statement

[0201] output:

[0202] Generated will and inheritance distribution list templates

[0203] Step 8:

[0204] The server sends the generated results to the user's device.

[0205] Specific operation:

[0206] The server then sends the generated will and inheritance distribution list templates to the user's terminal, possibly via email or display within a web application.

[0207] input:

[0208] Generated will and inheritance distribution list templates

[0209] output:

[0210] Sending the generated results to the user device

[0211] Step 9:

[0212] The user checks and corrects the generated results

[0213] Specific operation:

[0214] The user checks the will and inheritance distribution list generated on the device and makes any necessary corrections. After making the corrections, the correction data is sent back to the server in JSON format.

[0215] input:

[0216] Generated wills and estate distribution lists

[0217] output:

[0218] Modified JSON format data

[0219] Step 10:

[0220] The server revalidates and regenerates the corrected data

[0221] Specific operation:

[0222] The server verifies the revised data again, and if there are no problems, generates a revised prompt sentence and sends it again to the AI ​​model. The AI ​​model then generates a revised will and inheritance distribution list and resends them to the user via the server.

[0223] input:

[0224] Modified JSON format data

[0225] output:

[0226] Regenerated wills and estate lists

[0227] The above is a description of the specific processing steps. By using this system, users can easily generate wills and estate distribution lists that comply with the law and quickly make corrections as needed.

[0228] (Application example 1)

[0229] 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."

[0230] The traditional process of creating wills and estate distribution lists required specialized knowledge, was cumbersome, and time-consuming. Furthermore, asset management and maintenance plans within factories were also done manually, requiring a great deal of time and effort. Therefore, there is a need for a system that allows anyone to easily create legally compliant wills and estate distribution lists, and automatically generate asset allocation and maintenance plans within factories.

[0231] 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.

[0232] In this invention, the server includes a means for inputting information on the heir, a means for inputting a list of assets of the heir, and a means for inputting asset information of the factory, which enables the generation of a legally compliant will and inheritance distribution list, as well as the automatic generation of asset distribution and maintenance plans within the factory.

[0233] "Means for entering information about the heirs" refers to an interface that allows users to enter personal information about the inheritance (such as name, age, relationship, etc.).

[0234] "Means for inputting a list of the user's assets" refers to an interface for inputting information about assets owned by the user (cash, real estate, stocks, etc.).

[0235] "Means for transmitting input information to a server" refers to the function of transmitting the information on heirs and asset list input by the user to a server via the Internet.

[0236] The "means for verifying the information received by the server" is a function that checks whether the information received by the server is accurate, and if there is any deficiency, generates an error message to notify the user.

[0237] "Means of passing verified data to a generative AI model and generating a template will and estate distribution list" refers to a function that inputs verified data into an AI model and creates a template will and estate distribution list that complies with the law.

[0238] "Means for sending the generated will and inheritance distribution list template to the user's terminal" is a function that sends the generated document to the user's terminal for confirmation and correction by the user.

[0239] "Means for users to check and correct the generated results" refers to an interface that allows users to check the generated document and correct any deficiencies or changes.

[0240] "Means for sending the modified data to the server again and regenerating the modified will and estate distribution list template" is a function for sending the user's modifications to the server again and generating an updated will and estate distribution list.

[0241] The "means for inputting factory asset information" is an interface for inputting asset information such as machinery and raw materials within the factory.

[0242] The "means for generating a maintenance plan for factory assets" is a function for automatically generating an optimal maintenance plan based on input factory asset information.

[0243] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and their asset list. It is also possible to input information about factory assets and automatically generate optimal asset distribution lists and maintenance plans. Specific embodiments of the present invention are described below.

[0244] This system is equipped with a means for inputting information about the heirs, a means for inputting a list of the heirs' assets, and a means for inputting asset information for the factory. The user first enters personal information about the heirs, such as their name, age, and relationship, into an input form. For the list of assets, the user also enters the type of asset (cash, real estate, stocks, etc.) and its amount. Similarly, information about assets within the factory (machinery, raw materials, products, equipment) is also entered. This data is sent from the user's terminal to the server.

[0245] The server converts the received data into the appropriate format and performs data validation, which checks whether each field is entered correctly and generates an error message to notify the user if there are any errors, allowing the user to correct the errors and resubmit.

[0246] Once the verification is complete, the data is passed to a generative AI model, which generates a template for a will and inheritance distribution list, or a template for a factory asset distribution list or maintenance plan. The generated documents are sent from the server to the user's device. The user can review these documents and make any corrections or amendments they find. When the user enters the corrected data and resubmits it, the server verifies the data again and generates the updated documents using the AI ​​model.

[0247] The hardware used includes smartphones and tablets for users to input data, as well as robots in factories to check asset placement and execute maintenance plans. The software uses programming languages ​​such as Python to send, receive, and generate data. On the server side, systems run to validate data and execute generative AI models.

[0248] As a concrete example, consider the case where a user enters the following information:

[0249] Inheritance: Name: A, Age: 45, Relationship: Child

[0250] His assets: Cash: 5 million yen, Real estate: 100 million yen (home), Stocks: 20 million yen

[0251] Factory assets: Machine A, installed in Factory 1, value 1 million yen, last maintenance date 2023-01-15

[0252] This data is sent to the server and after verification the following result is generated:

[0253] Will (template):

[0254] I, B, hereby make the following will:

[0255] 1. A will inherit 5 million yen in cash.

[0256] 2. A and B will each inherit half of the home real estate (valued at 100 million yen).

[0257] 3. B will inherit 20 million yen worth of stocks.

[0258] Reiwa X year Y month Z day

[0259] B

[0260] Factory asset maintenance planning

[0261] The next maintenance for Machine A will be performed on 2024-01-15.

[0262] Example prompt sentence:

[0263] Please provide information about your factory's assets. Include the name, location, value, and last maintenance date for each asset. For example:

[0264] Machine A: Factory 1, value 1 million yen, last maintenance date 2023-01-15

[0265] Material B: Warehouse 2, value 500,000 yen, last maintenance date 2023-03-20

[0266] Based on this, an optimal asset allocation list and scheduled maintenance plan is generated.

[0267] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0268] Step 1:

[0269] The user enters information about the heir, a list of his / her assets, and information about the factory's assets into an input form on the terminal. The input data includes, for example, the name, age, relationship to the heir, his / her assets (cash, real estate, stocks, etc.), and factory assets (machinery, raw materials, products, equipment names, values, last maintenance date). Once this data is entered, the terminal temporarily saves the input.

[0270] Step 2:

[0271] The terminal sends the entered data to the server. The input data is sent over the network and arrives at the server. At this time, the data is checked to ensure it is sent in the correct format and no errors occur.

[0272] Step 3:

[0273] The server validates the data it receives. Specifically, it checks whether the data format is correct and whether all required fields have been entered. If any errors are found during this validation process, the server generates an error message and sends it to the user's device. If there are no errors, the data is saved as validated.

[0274] Step 4:

[0275] The server passes the verified data to the generative AI model, which then generates templates for a will and inheritance distribution list, a factory asset distribution list, and a maintenance plan based on the input data. Specifically, the AI ​​model automatically creates legally compliant will text and an optimal maintenance plan that is useful for managing factory assets.

[0276] Step 5:

[0277] The server receives templates for wills and inheritance distribution lists, factory asset distribution lists, and maintenance plans generated by the generative AI model. The server then sends these generated documents to the user's device. If the generated documents are available in various formats (such as text or PDF), the server selects the appropriate format and sends them.

[0278] Step 6:

[0279] The user confirms the generated results. The generated will, inheritance distribution list, factory asset distribution list, and maintenance plan can be checked on the terminal, and any corrections can be made as necessary. The corrected data, like the data entered by the user, is also saved on the terminal.

[0280] Step 7:

[0281] The user sends the corrected data back to the server. The server receives the corrected data and verifies it again. If there are no errors, the data is passed to the generative AI model again to generate an updated will and inheritance distribution list, factory asset distribution list, and maintenance plan.

[0282] Step 8:

[0283] The server sends the regenerated will and inheritance distribution list, factory asset distribution list, and maintenance plan to the user's device. The user then performs a final confirmation, completing the system's automatic generation process. Through this process, users can obtain a legally compliant will and an efficient factory asset management and maintenance plan without any specialized knowledge.

[0284] 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.

[0285] This invention combines an emotion engine with a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets. This system adjusts the interface according to the user's emotional state, making the will creation experience more comfortable.

[0286] This system provides a means for users to input information about the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.). Users enter this information into the input form and click the send button to send the data from their terminal to the server.

[0287] The server analyzes the received data and verifies that each item (name, age, relationship, asset list) is entered in the correct format. If there are any errors, an error message is generated to notify the user. The user can then correct the errors and resubmit the data.

[0288] Once verification is complete, the server passes the data to a generative AI model, which then generates a template will and inheritance distribution list. The generated will template contains the specific inheritance distribution details for each heir in accordance with the law. An inheritance distribution list is also generated, describing the specific inheritance distribution for each heir.

[0289] By combining this with an emotion engine, it is possible to recognize the emotional state of the user when performing input tasks. Specifically, the device's built-in camera and microphone are used to analyze the user's facial expressions and voice to detect their emotional state. This emotional data is sent to the server in real time and used to adjust the interface to improve the user experience.

[0290] Based on the detected emotional data, the user interface can be adjusted accordingly. For example, if the user is feeling stressed, the system can present simpler and clearer instructions and generate appropriate support messages. Additionally, if a negative emotional state is recognized, the system can offer additional support options and help to facilitate the user's task.

[0291] The generated will and inheritance distribution list templates are sent from the server to the user's device. The user checks these documents, and if any corrections are necessary, they are made again in the input form and the data is sent to the server. The server again verifies the data and passes it to the generative AI model to regenerate the documents. This process is repeated until the user is satisfied.

[0292] As a concrete example, assume that User B enters the following information:

[0293] Inheritance recipients:

[0294] Name: Taro Tanaka

[0295] Age: 45

[0296] Relationship: Children

[0297] Name: Hanako Tanaka

[0298] Age: 42

[0299] Relationship: Children

[0300] Your asset list:

[0301] Cash: 5 million yen

[0302] Real estate: 100 million yen (home)

[0303] Stock: 20 million yen

[0304] While User B is typing, the device's camera and microphone detect the user's emotional state and notify the server that the user is feeling stressed. The server then adjusts the interface to make it easier for the user to use and displays a support message to help the user relax. User B can then continue typing smoothly.

[0305] This system allows the emotional engine to recognize the user's emotional state in real time and adaptively adjust the interface, making the creation of wills and inheritance distribution lists more comfortable and efficient.

[0306] The processing flow will be explained below.

[0307] Step 1:

[0308] The user enters the information of the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into the tool's input form. The user clicks the send button, and the device sends the data to the server.

[0309] Step 2:

[0310] While the user is typing, the device activates the emotion engine and uses the camera and microphone to analyze the user's facial expressions and voice in real time, thereby detecting the user's emotional state (e.g., stress, joy, confusion, etc.).

[0311] Step 3:

[0312] The device sends the detected emotion data to the server, where it is analyzed by the emotion engine to determine the user's current emotional state.

[0313] Step 4:

[0314] The server analyzes the data it receives (information on inheritors, asset list, emotion data) and verifies that each item has been entered in the correct format. If there are any errors, it generates an error message and notifies the user.

[0315] Step 5:

[0316] Based on the verified data and the user's emotional state, the server activates a generative AI model to generate a template will and inheritance distribution list. The interface messages and display methods are adjusted depending on the emotional state.

[0317] Step 6:

[0318] The server converts the generated will and inheritance distribution list template into JSON format and sends it to the user's device.

[0319] Step 7:

[0320] The device converts the data received from the server into an appropriate UI format and displays it to the user. The user checks the generated template.

[0321] Step 8:

[0322] The user checks the generated results and makes any necessary corrections. The corrections are then entered into the input form again and sent from the terminal to the server.

[0323] Step 9:

[0324] The server again verifies the received amendments and passes them to the generative AI model to regenerate the will and estate distribution list. This process involves repeating steps 4 to 7.

[0325] Step 10:

[0326] If the user's emotional state changes, the emotion engine analyzes the user's emotions again and notifies the server, which then adjusts the interface accordingly to optimize the user experience.

[0327] Example 2

[0328] 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."

[0329] In conventional will creation systems, users often felt stressed when entering information about heirs and asset lists, and the process was cumbersome because they had to manually allocate the inheritance appropriately based on the law. Furthermore, the interface did not adjust to the user's emotional state, resulting in a poor user experience. For these reasons, there was a need for an automated system incorporating an emotion engine that would allow users to create wills and inheritance distribution lists comfortably.

[0330] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting information about the heir, means for inputting the heir's asset list, means for transmitting the input information to the server, means for the server to verify the information received, means for passing the verified data to a generation AI model and generating a template for a will and an estate distribution list, means for transmitting the generated template for the will and estate distribution list to the user's terminal, means for the user to check and modify the generation results, means for transmitting the modified data again to the server and regenerating the modified template for the will and estate distribution list, means for analyzing the user's facial expressions and voice using the terminal's camera and microphone to detect the user's emotional state, means for transmitting the detected emotional data to the server in real time, and means for adjusting the user interface based on the emotional data. This automatically adjusts the interface appropriately according to the user's emotional state, allowing the user to comfortably and efficiently create a will and estate distribution list.

[0331] An "inheritor" is a person who has the right to receive property from the deceased.

[0332] An "asset list" is a list of the assets owned by the deceased, such as cash, real estate, and stocks.

[0333] A "terminal" is an electronic device that a user uses to input information and communicate with a server.

[0334] "Server" means a central processing unit for processing, analyzing, and generating information received from users.

[0335] A "generative AI model" is an artificial intelligence algorithm that generates legally compliant will and estate distribution list templates based on input data.

[0336] The "emotion engine" is a technology that analyzes the user's facial expressions and voice to detect their emotional state.

[0337] The "input form" is an interface that allows users to input information about the heirs and a list of assets.

[0338] "Validation" is the process of checking that entered data is in the correct format.

[0339] A "template" is a basic template for describing specific content.

[0340] "Interface adjustment" refers to adjustments that change the system display and operation method according to the user's emotional state.

[0341] An "error message" is a message that notifies the user when there is an error in input or processing.

[0342] This invention is a system that automatically generates legally compliant will and inheritance distribution list templates by allowing users to input information about heirs and a list of their assets. This system is combined with an emotion engine to adjust the interface according to the user's emotional state, improving the will creation experience.

[0343] The system uses the following hardware and software:

[0344] Hardware used:

[0345] 1. Device: An electronic device that allows users to input information. Examples include computers, tablets, and smartphones. These devices are equipped with cameras and microphones that are used to analyze the user's facial expressions and voice.

[0346] 2. Server: A central processing unit that verifies input data, generates templates using AI models, analyzes emotional data, etc.

[0347] Software used:

[0348] 1. Input form: An interface such as a web application that allows users to enter information about the heir (name, age, relationship) and a list of the individual's assets (cash, real estate, stocks, etc.).

[0349] 2. Generative AI model: An artificial intelligence algorithm that generates legally compliant will and estate distribution list templates based on data entered by the user.

[0350] 3. Emotion Engine: Software that analyzes the user's facial expressions and voice to detect their emotional state in real time. This allows it to detect stress or anxiety when the user is performing input tasks and display appropriate interfaces and support messages.

[0351] A specific example is as follows:

[0352] Consider the case where User B enters the following information as an inheritor:

[0353] Inheritance recipients:

[0354] Name: A

[0355] Age: 45

[0356] Relationship: Children

[0357] Name: B

[0358] Age: 42

[0359] Relationship: Children

[0360] Your asset list:

[0361] Cash: 5 million yen

[0362] Real estate: 100 million yen (home)

[0363] Stock: 20 million yen

[0364] User B enters this information into the input form and clicks the submit button. At this time, the device's camera and microphone analyze the user's facial expressions and voice, and the emotional state is transmitted to the server via the emotion engine. For example, if User B is feeling stressed, the server adjusts the interface to display simpler and clearer instructions and support messages to help them relax.

[0365] The server then verifies the received data and generates an error message to notify the user if there are any errors. If the user corrects the errors and resubmits the data, the server verifies the data again and passes it to the generative AI model to generate a template will and inheritance distribution list. This process is repeated until the user is satisfied.

[0366] Example prompt sentence:

[0367] "Please explain a system that generates a template will containing specific legally required inheritance distribution details based on information entered by the user (name, age, relationship, asset list), and uses an emotion engine to adapt the interface in real time."

[0368] This system allows the emotional engine to recognize the user's emotional state in real time and adaptively adjust the interface, making the creation of wills and inheritance distribution lists more comfortable and efficient.

[0369] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0370] Step 1: Enter your information

[0371] The user enters information about the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into an input form. This input form is provided as a web application.

[0372] Input: Information about the heirs and a list of assets.

[0373] Output: The input data.

[0374] Specific operation: The user accesses the input form using a web browser and enters the necessary information. For example, they enter information such as "Taro Tanaka (age 45, child)" and "Cash: 5 million yen," and then confirms that the information is correct.

[0375] Step 2: Sending data

[0376] When the user has completed the input, he / she clicks the send button, which sends the data from the user's terminal to the server.

[0377] Input: Data entered.

[0378] Output: A request to the server to send data.

[0379] Specific operation: When the user clicks the send button, the terminal sends the input data to the server as an HTTP request. For example, when the "Send" button is clicked, the data is sent to the server in JSON format.

[0380] Step 3: Receiving and verifying data

[0381] The server receives the data sent from the user's terminal.

[0382] The server analyzes the received data and verifies that each item has been entered in the correct format, specifically by checking the string format and numeric range.

[0383] Input: Data sent from the terminal.

[0384] Output: Validation result (error message or success message).

[0385] Specific operation: The data analysis module on the server side analyzes the data, and if there are any errors, it generates an error message and notifies the user. For example, it displays an error message such as "The name field is empty."

[0386] Step 4: Detecting emotional state

[0387] The device uses a camera and microphone to analyze the user's facial expressions and voice while the user is typing to detect their emotional state, for example, using a facial expression analysis algorithm to detect stress or tension.

[0388] Input: Real-time data from camera and microphone.

[0389] Output: User's emotional state data.

[0390] How it works: Emotion analysis software running on the device analyzes the user's facial expressions and voice in real time to determine their emotional state. For example, the analysis result may be, "The user's voice is trembling, so they are feeling stressed."

[0391] Step 5: Sending emotion data

[0392] The device transmits the detected emotion data to the server in real time.

[0393] Input: User emotional state data.

[0394] Output: A request to send emotion data to the server.

[0395] Specific operation: The emotion analysis results are sent to the server as an HTTP request, for example, sending data such as "the user is feeling stressed."

[0396] Step 6: Adjust the interface

[0397] The server analyzes the received emotional data and adapts the interface according to the user's emotional state, specifically displaying simpler and clearer instructions when stress is detected.

[0398] Input: Emotion data.

[0399] Output: Interface adjustment request.

[0400] Specific operation: The server executes the interface adjustment algorithm according to the emotional state and sends a new interface display command to the device, such as displaying a message like "Please relax. We will display the instructions clearly."

[0401] Step 7: Generate data

[0402] The server passes the verified data to a generative AI model to generate a template for a will and inheritance distribution list.

[0403] Input: Validated data.

[0404] Output: Template for will and estate distribution list.

[0405] Specific operation: Based on the input data, the generative AI model generates legally compliant will and inheritance distribution list templates, outputting documents containing content such as "Taro Tanaka will inherit real estate worth 100 million yen."

[0406] Step 8: Sending the generated results

[0407] The server transmits the generated will and inheritance distribution list templates to the user's terminal.

[0408] Input: Generated template.

[0409] Output: Send the template to the user's terminal.

[0410] Specific operation: The server sends the generated document to the user's device as an HTTP response, allowing the user to view the document. For example, it displays a link to download the will PDF.

[0411] Step 9: Check and correct the results

[0412] The user checks the generated template of the will and inheritance distribution list and modifies it as necessary.

[0413] Input: Generated template.

[0414] Output: Corrected data.

[0415] Specific operation: The user checks the document and corrects any inappropriate parts through the input form again, for example, "check the contents of the will and change the distribution of the estate."

[0416] Step 10: Submit and regenerate corrected data

[0417] The user sends the corrected data to the server again, and the server verifies the data again and passes it to the generative AI model to regenerate the template.

[0418] Input: Correction data.

[0419] Output: The regenerated template.

[0420] Specific operation: The user submits the revised data, and the server re-verifies the data and passes it to the generative AI model to regenerate the updated will and inheritance distribution list template. For example, it performs an operation such as "regenerate the revised will and send it to the user."

[0421] As a result, users can create wills and estate distribution lists that comply with the law efficiently and without stress.

[0422] (Application example 2)

[0423] 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."

[0424] Existing systems do not take into account the user's emotional state when creating a will and estate distribution list, which can lead to mental stress. Furthermore, the user interface for creating a will is fixed, which creates usability issues. This can lead to users interrupting their work or failing to enter accurate information.

[0425] 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.

[0426] In this invention, the server includes means for inputting information about the heirs, means for inputting a list of the heirs' assets, means for transmitting the input information to the server, means for the server to verify the information received, means for passing the verified data to a generative AI model to generate a template will and estate distribution list, means for transmitting the generated template will and estate distribution list to the user's device, means for the user to check and modify the generated results, means for transmitting the modified data back to the server to regenerate the modified will and estate distribution list template, means for detecting the user's emotional state and dynamically adjusting the user interface based on the emotional state, means for using the device's microphone and camera to detect emotions, means for generating and displaying support messages in accordance with the detected emotional state, and means for providing relaxing content. This allows the user to create a will and estate distribution list comfortably and efficiently without feeling stressed.

[0427] An "heir" is a person who is the subject of inheritance and has the right to receive the estate under the will.

[0428] "List of assets of the person" refers to a list of assets such as cash, real estate, and stocks held by the person making the will.

[0429] "Server" refers to a computer system that receives data sent from a client via a network and processes, stores, and transmits it.

[0430] A "generative AI model" refers to a program or algorithm that uses artificial intelligence technology to generate a template will and estate distribution list from specific data.

[0431] A "will" is a document that legally specifies how an individual's assets should be distributed after their death.

[0432] An "estate distribution list" is a list of assets that will be specifically distributed to each heir based on the will.

[0433] "User's device" refers to an electronic device such as a computer, smartphone, or tablet that is directly operated by the user.

[0434] "Emotional state" refers to a user's current psychological and emotional state, including specific emotions such as stress, joy, and relaxation.

[0435] A "user interface" is a software component that includes elements such as a screen and input means for a user to interact with a system.

[0436] "Dynamic adjustment" refers to changing the display content and functionality of the user interface in real time according to the user's emotional state and operations.

[0437] A "support message" is a text or voice message containing advice or recommendations to help users use the system smoothly.

[0438] "Relaxing content" refers to music, videos, text messages, etc. that are provided to help users feel mentally stable and relaxed.

[0439] "Emotion detection" is the process of analyzing a user's facial expressions and voice using the device's microphone and camera to determine their current emotional state.

[0440] A specific embodiment of the present invention will be described below. The user inputs information about the heirs and a list of their assets into a terminal. The server receives this input data and verifies it. If there are any deficiencies, an error message is generated and notifies the user. Once verified, the data is passed to a generative AI model, which generates templates for a will and inheritance distribution list. During this process, an emotion engine is used to detect the user's emotional state in real time and dynamically adjust the interface.

[0441] The user's emotional state is detected using the device's camera and microphone. Video data from the camera is used to analyze facial expressions, and audio data from the microphone is used to perform audio analysis. This allows the user's emotional state, such as stress, joy, or relaxation, to be transmitted to the server in real time.

[0442] The server dynamically adjusts the interface and support messages based on emotional feedback. For example, if the user is feeling stressed, it displays simple instructions or encouraging messages. If the user is in a negative emotional state, it provides discount coupons or relaxing content.

[0443] The generated will and inheritance distribution list templates are sent to the user's device, where the user can review and modify them as necessary. The modified data is then sent back to the server, where the generative AI model regenerates the will and inheritance distribution list templates. This process can be repeated until the user is satisfied.

[0444] The hardware required is a device equipped with a user's camera and microphone. The software used is OpenCV for image processing, Keras for emotion recognition, and Vosk for voice recognition. By combining these, it is possible to accurately capture the user's emotional state.

[0445] For example, if the emotion engine detects that a user is feeling stressed while purchasing a high-value item, the system can simplify the payment process, display discount coupons, and provide a relaxing video after successful payment.

[0446] An example of a prompt is as follows:

[0447] "If you detect that a user is experiencing stress while purchasing a high-value item, please provide specific suggestions on how to adjust the checkout interface."

[0448] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0449] Step 1:

[0450] The user inputs information about the person to whom he or she will inherit and a list of the person's assets into the terminal.

[0451] input:

[0452] Information on the heir (name, age, relationship)

[0453] A list of the person's assets (cash, real estate, stocks, etc.)

[0454] output:

[0455] The information entered is saved in the form on your device.

[0456] Specific operation: The user types the required information into the input form on the terminal and then clicks the "Submit" button.

[0457] Step 2:

[0458] The terminal transmits the input information to the server.

[0459] input:

[0460] Information on heirs and asset list entered by the user

[0461] output:

[0462] Data packets sent to the server

[0463] Specific operation: Uses the device's sending function to send the input information to the server as a JSON-formatted data packet.

[0464] Step 3:

[0465] The server verifies the information received.

[0466] input:

[0467] Received information on heirs and asset list

[0468] output:

[0469] Validation result (if the format is correct, proceed to the next step; if there is an error, an error message)

[0470] Specific operation: The server checks the data format and required fields, and if the validation is successful, proceeds to the next step. If an error is detected, an error message is generated and notified to the user.

[0471] Step 4:

[0472] Once the verification is complete, the data is passed to a generative AI model to generate a template for a will and inheritance distribution list.

[0473] input:

[0474] Verified inheritance information and asset list

[0475] output:

[0476] A template will and estate distribution list created by a generative AI model

[0477] How it works: The server invokes the generative AI model, passing the validated data as input, which then generates a template will and estate distribution list based on that data.

[0478] Step 5:

[0479] The generated will and inheritance distribution list templates are sent to the user's terminal.

[0480] input:

[0481] Generated will and inheritance distribution list templates

[0482] output:

[0483] Data sent to the user's device

[0484] Specific operation: The server sends the generated document data to the user's terminal and instructs the terminal to display it.

[0485] Step 6:

[0486] The user checks and corrects the generated results.

[0487] input:

[0488] Generated will and inheritance distribution list templates

[0489] output:

[0490] Corrected data

[0491] Specific operation: The user checks the received document and edits any necessary corrections on the terminal. After editing, the user clicks the "Resend" button.

[0492] Step 7:

[0493] The modified data is sent to the server again, and the modified will and inheritance distribution list templates are regenerated.

[0494] input:

[0495] Revised inheritance information and asset list

[0496] output:

[0497] Regenerated will and estate distribution list templates

[0498] Specific operation: The server receives the retransmitted corrected data and passes it to the generative AI model again to regenerate the will and inheritance distribution list template.

[0499] Step 8:

[0500] The emotional state of a user is detected and the user interface is dynamically adjusted based on the emotional state.

[0501] input:

[0502] User's facial expression and voice data

[0503] output:

[0504] Interface adjustment and support messages according to emotional state

[0505] What it does: It uses the device's camera and microphone to capture facial expressions and voice in real time, analyzes them with an emotion detection model, and changes interface settings based on the results to display necessary support messages.

[0506] Step 9:

[0507] A support message is generated and displayed in response to the detected emotional state.

[0508] input:

[0509] Detected emotion data

[0510] output:

[0511] Displaying a support message

[0512] Specific operation: Determine the user's emotional state from the results of emotion detection, and generate and display appropriate support messages and advice.

[0513] Step 10:

[0514] Providing relaxing content.

[0515] input:

[0516] The user's emotional state

[0517] output:

[0518] Relaxing content (music, videos, etc.)

[0519] Specific operation: If the detected emotional state is negative, display content (music, videos, etc.) that will help the user relax.

[0520] 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.

[0521] 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.

[0522] 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.

[0523] [Second embodiment]

[0524] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0525] 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.

[0526] 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).

[0527] 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.

[0528] 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.

[0529] 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).

[0530] 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.

[0531] 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.

[0532] 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.

[0533] 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.

[0534] 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.

[0535] 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."

[0536] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets.

[0537] This system is equipped with a means for users to input information about the heirs and a list of their assets. The user first enters personal information such as the name, age, and relationship of the heir into an input form. The user also enters the types of assets (cash, real estate, stocks, etc.) and their amounts for the list of assets. This data is then sent from the terminal to the server.

[0538] The server converts the received data into the appropriate format and validates the data. This validation process checks whether each field is entered correctly and generates an error message to notify the user if there are any errors. At this stage, the user can correct the errors and resubmit the data.

[0539] Once verification is complete, the server passes the data to a generative AI model, which then generates a template will and inheritance distribution list. The generated will template contains the specific inheritance distribution details for each heir in accordance with the law. An inheritance distribution list is also generated in the same way, describing the specific inheritance distribution for each heir.

[0540] The generated will and inheritance distribution list templates are sent from the server to the user's device. The user can review these documents and make any necessary corrections or corrections. Once the user enters and submits the corrected data, the server again verifies the data and generates an updated will and inheritance distribution list using an AI model.

[0541] As a specific example, consider the case where user A enters the following information:

[0542] Inheritance recipients:

[0543] Name: Taro Tanaka

[0544] Age: 45

[0545] Relationship: Children

[0546] Name: Hanako Tanaka

[0547] Age: 42

[0548] Relationship: Children

[0549] Your asset list:

[0550] Cash: 5 million yen

[0551] Real estate: 100 million yen (home)

[0552] Stock: 20 million yen

[0553] First, User A enters the names of heirs and a list of assets into an input form and sends the data to the server. The server receives the data and verifies it. If there are no problems, the generative AI model is activated and a template will and inheritance distribution list is generated, as shown below.

[0554] Will (template):

[0555] I, Yamada Ichiro, hereby leave the following will.

[0556] 1. Yamada Taro will inherit 5 million yen in cash.

[0557] 2. Yamada Taro and Yamada Hanako will each inherit half of the home real estate (valued at 100 million yen).

[0558] 3. Yamada Hanako will inherit 20 million yen worth of stocks.

[0559] Reiwa X year Y month Z day

[0560] Ichiro Yamada

[0561] This document is sent to User A, who checks the contents. If any corrections are needed, the user enters the corrections and resubmits the document. The server receives it and regenerates it. By repeating this process, User A can obtain an accurate will and inheritance distribution list that complies with the law.

[0562] A key feature of this system is that all processing steps are automated, making it easy to use even for those without specialized knowledge, allowing users to quickly and efficiently create wills and estate distribution lists.

[0563] The processing flow will be explained below.

[0564] Step 1:

[0565] The user enters the information of the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into the tool's input form. Once the input is complete, the user clicks the send button to send the data from the device to the server.

[0566] Step 2:

[0567] The terminal converts the input data into JSON format and sends it to the server, which receives the request.

[0568] Step 3:

[0569] The server analyzes the received data and verifies that each item (name, age, relationship, asset list) is entered in the correct format. If there are any errors, an error message is generated and the verification result is sent to the terminal.

[0570] Step 4:

[0571] The terminal notifies the user of the verification result received from the server. The user makes the necessary corrections based on the error message and submits the data again.

[0572] Step 5:

[0573] The server re-verifies the re-submitted data, and once it has confirmed that all data has been entered in the correct format, it passes the verified data to the generative AI model.

[0574] Step 6:

[0575] The generative AI model uses the verified data to generate a template for a will and inheritance distribution list. Specifically, it analyzes the information of the heirs and the asset list, and determines the distribution details for each heir in accordance with the Civil Code.

[0576] Step 7:

[0577] The server converts the generated will and inheritance distribution list templates into JSON format and sends them to the terminal.

[0578] Step 8:

[0579] The device converts the data received from the server into an appropriate UI format and displays it to the user. The user checks the generated template and makes any necessary corrections.

[0580] Step 9:

[0581] The user enters the corrections into the input form and sends the data again from the terminal to the server.

[0582] Step 10:

[0583] The server again verifies the received revised data and passes it to the generative AI model to regenerate the will and estate distribution list. This process is carried out by repeating steps 4 to 7.

[0584] Example 1

[0585] 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."

[0586] In the past, creating wills and estate distribution lists required specialized knowledge, and creating accurate documents in accordance with the law required a great deal of time and effort. Furthermore, manual processing was prone to input errors and formatting errors, requiring repeated corrections, making it extremely inefficient. The present invention aims to solve these problems by providing a system that allows users to easily and quickly automatically generate wills and estate distribution lists that comply with the law.

[0587] 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.

[0588] In this invention, the server includes means for inputting information about the heir, means for inputting a list of the heir's assets, means for converting the input information into a data format and sending it to the server, means for converting the format of the information received by the server and verifying the data, means for converting the verified data into a prompt for the generative AI model, means for passing the prompt to the generative AI model and generating a template for a will and an estate distribution list, means for sending the generated template for a will and estate distribution list to the user's terminal, means for the user to check and correct the generated results, and means for sending the corrected data back to the server, re-verifying it, and re-generating the corrected template for a will and estate distribution list using the generative AI model. This allows legally compliant templates for a will and estate distribution list to be automatically created based on the information entered by the user, and subsequent corrections to be made accurately and quickly.

[0589] "Information on the person to be inherited" refers to personal information about the person to be inherited, such as name, age, and relationship.

[0590] "List of assets of the person" refers to a list of the types of assets owned by the person, such as cash, real estate, stocks, etc., and their amounts.

[0591] "Means for converting into a data format" refers to the process of converting the information entered by the user into a format that is easy to process within the system.

[0592] "Means for transmitting to the server" refers to the process of transmitting data from the user terminal to the server using a communication protocol.

[0593] "Means for converting the format of information received by the server" refers to the process by which the server converts the data received into a data format for internal processing.

[0594] "Means for validating data" refers to a process that verifies the accuracy and completeness of received data and generates an error message if there are any deficiencies.

[0595] "Means for converting the data into prompts for the generative AI model" refers to the process of converting the verified data into a document (prompt) in a format that can be understood by the generative AI model.

[0596] "Means for passing a prompt sentence to a generative AI model" refers to the process of providing the converted prompt sentence to the generative AI model and causing it to start processing.

[0597] "Means for generating a template will and estate distribution list" refers to the process by which a generative AI model creates an initial version of a will and estate distribution list based on prompt text.

[0598] "Means for transmitting the generated template of the will and inheritance distribution list to the user's terminal" refers to the process of delivering the generated documents to the user's terminal.

[0599] "Means for the user to check and correct the generated results" refers to the process by which the user checks the will and inheritance distribution list generated on the terminal and makes changes as necessary.

[0600] "Means of sending the revised data back to the server, re-validating it, and then re-generating the revised will and inheritance distribution list template using the generative AI model" refers to the process of sending the user's revisions back to the server, validating and generating them again, and creating the latest documents.

[0601] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets.

[0602] Hardware and software used

[0603] The system is implemented using the following hardware and software.

[0604] Hardware: User devices (PCs, tablets, smartphones, etc.), servers (hosting databases and AI models)

[0605] Software: input form programs (web applications), server-side scripts (data validation and processing), generative AI models (e.g., GPT-3)

[0606] Specific operation of the system

[0607] 1. User information input and data submission

[0608] The user enters the information of the heir and a list of his / her assets into the input form of the web application. For example, the user enters the following information:

[0609] Inheritance recipients:

[0610] Name: Taro Tanaka

[0611] Age: 45

[0612] Relationship: Children

[0613] Name: Hanako Tanaka

[0614] Age: 42

[0615] Relationship: Children

[0616] Your asset list:

[0617] Cash: 5 million yen

[0618] Real estate: 100 million yen (home)

[0619] Stock: 20 million yen

[0620] Once the input is complete, the device sends this information to the server in JSON format.

[0621] 2. Server data reception and format conversion

[0622] The server receives the JSON data and converts it into an internal data format, such as a Python dictionary, to facilitate further processing.

[0623] 3. Data Verification

[0624] The server verifies that each item in the received data has been entered properly. If there is an error, it generates an error message and sends it to the terminal to notify the user. The message might be something like "Your age has not been entered."

[0625] 4. Generate prompts for the data

[0626] The server creates a prompt for the generative AI model based on the validated data. For example, the following prompt is generated:

[0627] Prompt statement:

[0628] Inheritors: Taro Tanaka (age 45, child) and Hanako Tanaka (age 42, child)

[0629] Asset list: 5 million yen in cash, 100 million yen in real estate (home), 20 million yen in stocks

[0630] Based on this information, please generate a template will and estate distribution list using the following content.

[0631] 5. Generation of wills and estate distribution lists

[0632] The server sends the generated prompts to a generative AI model (e.g., GPT-3) to generate a template for a will and inheritance distribution list. This AI model generates legally compliant documents based on a large amount of training data.

[0633] Generation example:

[0634] I, Yamada Ichiro, hereby leave the following will.

[0635] 1. Taro Tanaka will inherit 5 million yen in cash.

[0636] 2. Taro Tanaka and Hanako Tanaka will each inherit half of the home real estate (valued at 100 million yen).

[0637] 3. Hanako Tanaka will inherit 20 million yen worth of stocks.

[0638] Reiwa X year Y month Z day

[0639] Ichiro Yamada

[0640] 6. Sending and Modifying Generated Results to the User

[0641] The generated will and inheritance distribution list are sent from the server to the user's terminal, where the user can confirm the contents. The user can then amend the documents on the terminal as necessary and send the amended data back to the server.

[0642] 7. Modify and Regenerate

[0643] The server then verifies the revised data again and uses the generative AI model to regenerate the revised will and estate distribution list, ultimately providing the user with a satisfactory document.

[0644] In this way, by using this system, users can easily and quickly create wills and inheritance distribution lists that comply with the law, even if they do not have specialized knowledge.

[0645] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0646] Step 1:

[0647] The user enters inheritance information

[0648] Specific operation:

[0649] The user enters the information of the heir (name, age, relationship, etc.) and a list of the person's assets (e.g., 5 million yen in cash, 100 million yen in real estate, 20 million yen in stocks) into the input form. A JSON-formatted string is generated as the input data.

[0650] input:

[0651] Inheritance information, asset list information

[0652] output:

[0653] Input data in JSON format

[0654] Step 2:

[0655] The device sends the data to the server

[0656] Specific operation:

[0657] Once the user input is complete, the device sends the generated JSON formatted data to the server using HTTP POST as the communication protocol.

[0658] input:

[0659] Input data in JSON format

[0660] output:

[0661] Request to send data to the server

[0662] Step 3:

[0663] The server receives the data and converts it

[0664] Specific operation:

[0665] The server receives the JSON data and converts it into a Python dictionary, which makes it easier to validate and generate the data.

[0666] input:

[0667] Received JSON data

[0668] output:

[0669] Python dictionary data

[0670] Step 4:

[0671] The server validates the data

[0672] Specific operation:

[0673] The server verifies that each item in the received data has been entered correctly. For example, it checks that the age is a number and that there are no errors in the asset list. If there are any errors, it generates an error message and sends it to the terminal.

[0674] input:

[0675] Python dictionary data

[0676] output:

[0677] Validation result (success or error message)

[0678] Step 5:

[0679] Data prompt generation

[0680] Specific operation:

[0681] If the verification is successful, the server converts the data into a prompt for the generative AI model. For example, it generates a prompt in the format "Inheritors: Taro Tanaka (age 45, child) and Hanako Tanaka (age 42, child). Asset list: 5 million yen in cash, 100 million yen in real estate (home), 20 million yen in stock."

[0682] input:

[0683] Verified Data

[0684] output:

[0685] Prompt statement

[0686] Step 6:

[0687] The server sends the prompt to the generative AI model.

[0688] Specific operation:

[0689] The server sends the generated prompt to the generative AI model (e.g., GPT-3) and sends a request using the API endpoint for the AI ​​model.

[0690] input:

[0691] Prompt statement

[0692] output:

[0693] Requests to a generative model

[0694] Step 7:

[0695] Generative AI model generates wills and estate plans

[0696] Specific operation:

[0697] The generative AI model generates a template for a will and inheritance distribution list based on the prompt text and sends the results back to the server.

[0698] input:

[0699] Prompt statement

[0700] output:

[0701] Generated will and inheritance distribution list templates

[0702] Step 8:

[0703] The server sends the generated results to the user's device.

[0704] Specific operation:

[0705] The server then sends the generated will and inheritance distribution list templates to the user's terminal, possibly via email or display within a web application.

[0706] input:

[0707] Generated will and inheritance distribution list templates

[0708] output:

[0709] Sending the generated results to the user device

[0710] Step 9:

[0711] The user checks and corrects the generated results

[0712] Specific operation:

[0713] The user checks the will and inheritance distribution list generated on the device and makes any necessary corrections. After making the corrections, the correction data is sent back to the server in JSON format.

[0714] input:

[0715] Generated wills and estate distribution lists

[0716] output:

[0717] Modified JSON format data

[0718] Step 10:

[0719] The server revalidates and regenerates the corrected data

[0720] Specific operation:

[0721] The server verifies the revised data again, and if there are no problems, generates a revised prompt sentence and sends it again to the AI ​​model. The AI ​​model then generates a revised will and inheritance distribution list and resends them to the user via the server.

[0722] input:

[0723] Modified JSON format data

[0724] output:

[0725] Regenerated wills and estate lists

[0726] The above is a description of the specific processing steps. By using this system, users can easily generate wills and estate distribution lists that comply with the law and quickly make corrections as needed.

[0727] (Application example 1)

[0728] 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."

[0729] The traditional process of creating wills and estate distribution lists required specialized knowledge, was cumbersome, and time-consuming. Furthermore, asset management and maintenance plans within factories were also done manually, requiring a great deal of time and effort. Therefore, there is a need for a system that allows anyone to easily create legally compliant wills and estate distribution lists, and automatically generate asset allocation and maintenance plans within factories.

[0730] 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.

[0731] In this invention, the server includes a means for inputting information on the heir, a means for inputting a list of assets of the heir, and a means for inputting asset information of the factory, which enables the generation of a legally compliant will and inheritance distribution list, as well as the automatic generation of asset distribution and maintenance plans within the factory.

[0732] "Means for entering information about the heirs" refers to an interface that allows users to enter personal information about the inheritance (such as name, age, relationship, etc.).

[0733] "Means for inputting a list of the user's assets" refers to an interface for inputting information about assets owned by the user (cash, real estate, stocks, etc.).

[0734] "Means for transmitting input information to a server" refers to the function of transmitting the information on heirs and asset list input by the user to a server via the Internet.

[0735] The "means for verifying the information received by the server" is a function that checks whether the information received by the server is accurate, and if there is any deficiency, generates an error message to notify the user.

[0736] "Means of passing verified data to a generative AI model and generating a template will and estate distribution list" refers to a function that inputs verified data into an AI model and creates a template will and estate distribution list that complies with the law.

[0737] "Means for sending the generated will and inheritance distribution list template to the user's terminal" is a function that sends the generated document to the user's terminal for confirmation and correction by the user.

[0738] "Means for users to check and correct the generated results" refers to an interface that allows users to check the generated document and correct any deficiencies or changes.

[0739] "Means for sending the modified data to the server again and regenerating the modified will and estate distribution list template" is a function for sending the user's modifications to the server again and generating an updated will and estate distribution list.

[0740] The "means for inputting factory asset information" is an interface for inputting asset information such as machinery and raw materials within the factory.

[0741] The "means for generating a maintenance plan for factory assets" is a function for automatically generating an optimal maintenance plan based on input factory asset information.

[0742] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and their asset list. It is also possible to input information about factory assets and automatically generate optimal asset distribution lists and maintenance plans. Specific embodiments of the present invention are described below.

[0743] This system is equipped with a means for inputting information about the heirs, a means for inputting a list of the heirs' assets, and a means for inputting asset information for the factory. The user first enters personal information about the heirs, such as their name, age, and relationship, into an input form. For the list of assets, the user also enters the type of asset (cash, real estate, stocks, etc.) and its amount. Similarly, information about assets within the factory (machinery, raw materials, products, equipment) is also entered. This data is sent from the user's terminal to the server.

[0744] The server converts the received data into the appropriate format and performs data validation, which checks whether each field is entered correctly and generates an error message to notify the user if there are any errors, allowing the user to correct the errors and resubmit.

[0745] Once the verification is complete, the data is passed to a generative AI model, which generates a template for a will and inheritance distribution list, or a template for a factory asset distribution list or maintenance plan. The generated documents are sent from the server to the user's device. The user can review these documents and make any corrections or amendments they find. When the user enters the corrected data and resubmits it, the server verifies the data again and generates the updated documents using the AI ​​model.

[0746] The hardware used includes smartphones and tablets for users to input data, as well as robots in factories to check asset placement and execute maintenance plans. The software uses programming languages ​​such as Python to send, receive, and generate data. On the server side, systems run to validate data and execute generative AI models.

[0747] As a concrete example, consider the case where a user enters the following information:

[0748] Inheritance: Name: A, Age: 45, Relationship: Child

[0749] His assets: Cash: 5 million yen, Real estate: 100 million yen (home), Stocks: 20 million yen

[0750] Factory assets: Machine A, installed in Factory 1, value 1 million yen, last maintenance date 2023-01-15

[0751] This data is sent to the server and after verification the following result is generated:

[0752] Will (template):

[0753] I, B, hereby make the following will:

[0754] 1. A will inherit 5 million yen in cash.

[0755] 2. A and B will each inherit half of the home real estate (valued at 100 million yen).

[0756] 3. B will inherit 20 million yen worth of stocks.

[0757] Reiwa X year Y month Z day

[0758] B

[0759] Factory asset maintenance planning

[0760] The next maintenance for Machine A will be performed on 2024-01-15.

[0761] Example prompt sentence:

[0762] Please provide information about your factory's assets. Include the name, location, value, and last maintenance date for each asset. For example:

[0763] Machine A: Factory 1, value 1 million yen, last maintenance date 2023-01-15

[0764] Material B: Warehouse 2, value 500,000 yen, last maintenance date 2023-03-20

[0765] Based on this, an optimal asset allocation list and scheduled maintenance plan is generated.

[0766] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0767] Step 1:

[0768] The user enters information about the heir, a list of his / her assets, and information about the factory's assets into an input form on the terminal. The input data includes, for example, the name, age, relationship to the heir, his / her assets (cash, real estate, stocks, etc.), and factory assets (machinery, raw materials, products, equipment names, values, last maintenance date). Once this data is entered, the terminal temporarily saves the input.

[0769] Step 2:

[0770] The terminal sends the entered data to the server. The input data is sent over the network and arrives at the server. At this time, the data is checked to ensure it is sent in the correct format and no errors occur.

[0771] Step 3:

[0772] The server validates the data it receives. Specifically, it checks whether the data format is correct and whether all required fields have been entered. If any errors are found during this validation process, the server generates an error message and sends it to the user's device. If there are no errors, the data is saved as validated.

[0773] Step 4:

[0774] The server passes the verified data to the generative AI model, which then generates templates for a will and inheritance distribution list, a factory asset distribution list, and a maintenance plan based on the input data. Specifically, the AI ​​model automatically creates legally compliant will text and an optimal maintenance plan that is useful for managing factory assets.

[0775] Step 5:

[0776] The server receives templates for wills and inheritance distribution lists, factory asset distribution lists, and maintenance plans generated by the generative AI model. The server then sends these generated documents to the user's device. If the generated documents are available in various formats (such as text or PDF), the server selects the appropriate format and sends them.

[0777] Step 6:

[0778] The user confirms the generated results. The generated will, inheritance distribution list, factory asset distribution list, and maintenance plan can be checked on the terminal, and any corrections can be made as necessary. The corrected data, like the data entered by the user, is also saved on the terminal.

[0779] Step 7:

[0780] The user sends the corrected data back to the server. The server receives the corrected data and verifies it again. If there are no errors, the data is passed to the generative AI model again to generate an updated will and inheritance distribution list, factory asset distribution list, and maintenance plan.

[0781] Step 8:

[0782] The server sends the regenerated will and inheritance distribution list, factory asset distribution list, and maintenance plan to the user's device. The user then performs a final confirmation, completing the system's automatic generation process. Through this process, users can obtain a legally compliant will and an efficient factory asset management and maintenance plan without any specialized knowledge.

[0783] 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.

[0784] This invention combines an emotion engine with a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets. This system adjusts the interface according to the user's emotional state, making the will creation experience more comfortable.

[0785] This system provides a means for users to input information about the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.). Users enter this information into the input form and click the send button to send the data from their terminal to the server.

[0786] The server analyzes the received data and verifies that each item (name, age, relationship, asset list) is entered in the correct format. If there are any errors, an error message is generated to notify the user. The user can then correct the errors and resubmit the data.

[0787] Once verification is complete, the server passes the data to a generative AI model, which then generates a template will and inheritance distribution list. The generated will template contains the specific inheritance distribution details for each heir in accordance with the law. An inheritance distribution list is also generated, describing the specific inheritance distribution for each heir.

[0788] By combining this with an emotion engine, it is possible to recognize the emotional state of the user when performing input tasks. Specifically, the device's built-in camera and microphone are used to analyze the user's facial expressions and voice to detect their emotional state. This emotional data is sent to the server in real time and used to adjust the interface to improve the user experience.

[0789] Based on the detected emotional data, the user interface can be adjusted accordingly. For example, if the user is feeling stressed, the system can present simpler and clearer instructions and generate appropriate support messages. Additionally, if a negative emotional state is recognized, the system can offer additional support options and help to facilitate the user's task.

[0790] The generated will and inheritance distribution list templates are sent from the server to the user's device. The user checks these documents, and if any corrections are necessary, they are made again in the input form and the data is sent to the server. The server again verifies the data and passes it to the generative AI model to regenerate the documents. This process is repeated until the user is satisfied.

[0791] As a concrete example, assume that User B enters the following information:

[0792] Inheritance recipients:

[0793] Name: Taro Tanaka

[0794] Age: 45

[0795] Relationship: Children

[0796] Name: Hanako Tanaka

[0797] Age: 42

[0798] Relationship: Children

[0799] Your asset list:

[0800] Cash: 5 million yen

[0801] Real estate: 100 million yen (home)

[0802] Stock: 20 million yen

[0803] While User B is typing, the device's camera and microphone detect the user's emotional state and notify the server that the user is feeling stressed. The server then adjusts the interface to make it easier for the user to use and displays a support message to help the user relax. User B can then continue typing smoothly.

[0804] This system allows the emotional engine to recognize the user's emotional state in real time and adaptively adjust the interface, making the creation of wills and inheritance distribution lists more comfortable and efficient.

[0805] The processing flow will be explained below.

[0806] Step 1:

[0807] The user enters the information of the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into the tool's input form. The user clicks the send button, and the device sends the data to the server.

[0808] Step 2:

[0809] While the user is typing, the device activates the emotion engine and uses the camera and microphone to analyze the user's facial expressions and voice in real time, thereby detecting the user's emotional state (e.g., stress, joy, confusion, etc.).

[0810] Step 3:

[0811] The device sends the detected emotion data to the server, where it is analyzed by the emotion engine to determine the user's current emotional state.

[0812] Step 4:

[0813] The server analyzes the data it receives (information on inheritors, asset list, emotion data) and verifies that each item has been entered in the correct format. If there are any errors, it generates an error message and notifies the user.

[0814] Step 5:

[0815] Based on the verified data and the user's emotional state, the server activates a generative AI model to generate a template will and inheritance distribution list. The interface messages and display methods are adjusted depending on the emotional state.

[0816] Step 6:

[0817] The server converts the generated will and inheritance distribution list template into JSON format and sends it to the user's device.

[0818] Step 7:

[0819] The device converts the data received from the server into an appropriate UI format and displays it to the user. The user checks the generated template.

[0820] Step 8:

[0821] The user checks the generated results and makes any necessary corrections. The corrections are then entered into the input form again and sent from the terminal to the server.

[0822] Step 9:

[0823] The server again verifies the received amendments and passes them to the generative AI model to regenerate the will and estate distribution list. This process involves repeating steps 4 to 7.

[0824] Step 10:

[0825] If the user's emotional state changes, the emotion engine analyzes the user's emotions again and notifies the server, which then adjusts the interface accordingly to optimize the user experience.

[0826] Example 2

[0827] 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."

[0828] In conventional will creation systems, users often felt stressed when entering information about heirs and asset lists, and the process was cumbersome because they had to manually allocate the inheritance appropriately based on the law. Furthermore, the interface did not adjust to the user's emotional state, resulting in a poor user experience. For these reasons, there was a need for an automated system incorporating an emotion engine that would allow users to create wills and inheritance distribution lists comfortably.

[0829] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting information about the heir, means for inputting the heir's asset list, means for transmitting the input information to the server, means for the server to verify the information received, means for passing the verified data to a generation AI model and generating a template for a will and an estate distribution list, means for transmitting the generated template for the will and estate distribution list to the user's terminal, means for the user to check and modify the generation results, means for transmitting the modified data again to the server and regenerating the modified template for the will and estate distribution list, means for analyzing the user's facial expressions and voice using the terminal's camera and microphone to detect the user's emotional state, means for transmitting the detected emotional data to the server in real time, and means for adjusting the user interface based on the emotional data. This automatically adjusts the interface appropriately according to the user's emotional state, allowing the user to comfortably and efficiently create a will and estate distribution list.

[0830] An "inheritor" is a person who has the right to receive property from the deceased.

[0831] An "asset list" is a list of the assets owned by the deceased, such as cash, real estate, and stocks.

[0832] A "terminal" is an electronic device that a user uses to input information and communicate with a server.

[0833] "Server" means a central processing unit for processing, analyzing, and generating information received from users.

[0834] A "generative AI model" is an artificial intelligence algorithm that generates legally compliant will and estate distribution list templates based on input data.

[0835] The "emotion engine" is a technology that analyzes the user's facial expressions and voice to detect their emotional state.

[0836] The "input form" is an interface that allows users to input information about the heirs and a list of assets.

[0837] "Validation" is the process of checking that entered data is in the correct format.

[0838] A "template" is a basic template for describing specific content.

[0839] "Interface adjustment" refers to adjustments that change the system display and operation method according to the user's emotional state.

[0840] An "error message" is a message that notifies the user when there is an error in input or processing.

[0841] This invention is a system that automatically generates legally compliant will and inheritance distribution list templates by allowing users to input information about heirs and a list of their assets. This system is combined with an emotion engine to adjust the interface according to the user's emotional state, improving the will creation experience.

[0842] The system uses the following hardware and software:

[0843] Hardware used:

[0844] 1. Device: An electronic device that allows users to input information. Examples include computers, tablets, and smartphones. These devices are equipped with cameras and microphones that are used to analyze the user's facial expressions and voice.

[0845] 2. Server: A central processing unit that verifies input data, generates templates using AI models, analyzes emotional data, etc.

[0846] Software used:

[0847] 1. Input form: An interface such as a web application that allows users to enter information about the heir (name, age, relationship) and a list of the individual's assets (cash, real estate, stocks, etc.).

[0848] 2. Generative AI model: An artificial intelligence algorithm that generates legally compliant will and estate distribution list templates based on data entered by the user.

[0849] 3. Emotion Engine: Software that analyzes the user's facial expressions and voice to detect their emotional state in real time. This allows it to detect stress or anxiety when the user is performing input tasks and display appropriate interfaces and support messages.

[0850] A specific example is as follows:

[0851] Consider the case where User B enters the following information as an inheritor:

[0852] Inheritance recipients:

[0853] Name: A

[0854] Age: 45

[0855] Relationship: Children

[0856] Name: B

[0857] Age: 42

[0858] Relationship: Children

[0859] Your asset list:

[0860] Cash: 5 million yen

[0861] Real estate: 100 million yen (home)

[0862] Stock: 20 million yen

[0863] User B enters this information into the input form and clicks the submit button. At this time, the device's camera and microphone analyze the user's facial expressions and voice, and the emotional state is transmitted to the server via the emotion engine. For example, if User B is feeling stressed, the server adjusts the interface to display simpler and clearer instructions and support messages to help them relax.

[0864] The server then verifies the received data and generates an error message to notify the user if there are any errors. If the user corrects the errors and resubmits the data, the server verifies the data again and passes it to the generative AI model to generate a template will and inheritance distribution list. This process is repeated until the user is satisfied.

[0865] Example prompt sentence:

[0866] "Please explain a system that generates a template will containing specific legally required inheritance distribution details based on information entered by the user (name, age, relationship, asset list), and uses an emotion engine to adapt the interface in real time."

[0867] This system allows the emotional engine to recognize the user's emotional state in real time and adaptively adjust the interface, making the creation of wills and inheritance distribution lists more comfortable and efficient.

[0868] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0869] Step 1: Enter your information

[0870] The user enters information about the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into an input form. This input form is provided as a web application.

[0871] Input: Information about the heirs and a list of assets.

[0872] Output: The input data.

[0873] Specific operation: The user accesses the input form using a web browser and enters the necessary information. For example, they enter information such as "Taro Tanaka (age 45, child)" and "Cash: 5 million yen," and then confirms that the information is correct.

[0874] Step 2: Sending data

[0875] When the user has completed the input, he / she clicks the send button, which sends the data from the user's terminal to the server.

[0876] Input: Data entered.

[0877] Output: A request to the server to send data.

[0878] Specific operation: When the user clicks the send button, the terminal sends the input data to the server as an HTTP request. For example, when the "Send" button is clicked, the data is sent to the server in JSON format.

[0879] Step 3: Receiving and verifying data

[0880] The server receives the data sent from the user's terminal.

[0881] The server analyzes the received data and verifies that each item has been entered in the correct format, specifically by checking the string format and numeric range.

[0882] Input: Data sent from the terminal.

[0883] Output: Validation result (error message or success message).

[0884] Specific operation: The data analysis module on the server side analyzes the data, and if there are any errors, it generates an error message and notifies the user. For example, it displays an error message such as "The name field is empty."

[0885] Step 4: Detecting emotional state

[0886] The device uses a camera and microphone to analyze the user's facial expressions and voice while the user is typing to detect their emotional state, for example, using a facial expression analysis algorithm to detect stress or tension.

[0887] Input: Real-time data from camera and microphone.

[0888] Output: User's emotional state data.

[0889] How it works: Emotion analysis software running on the device analyzes the user's facial expressions and voice in real time to determine their emotional state. For example, the analysis result may be, "The user's voice is trembling, so they are feeling stressed."

[0890] Step 5: Sending emotion data

[0891] The device transmits the detected emotion data to the server in real time.

[0892] Input: User emotional state data.

[0893] Output: A request to send emotion data to the server.

[0894] Specific operation: The emotion analysis results are sent to the server as an HTTP request, for example, sending data such as "the user is feeling stressed."

[0895] Step 6: Adjust the interface

[0896] The server analyzes the received emotional data and adapts the interface according to the user's emotional state, specifically displaying simpler and clearer instructions when stress is detected.

[0897] Input: Emotion data.

[0898] Output: Interface adjustment request.

[0899] Specific operation: The server executes the interface adjustment algorithm according to the emotional state and sends a new interface display command to the device, such as displaying a message like "Please relax. We will display the instructions clearly."

[0900] Step 7: Generate data

[0901] The server passes the verified data to a generative AI model to generate a template for a will and inheritance distribution list.

[0902] Input: Validated data.

[0903] Output: Template for will and estate distribution list.

[0904] Specific operation: Based on the input data, the generative AI model generates legally compliant will and inheritance distribution list templates, outputting documents containing content such as "Taro Tanaka will inherit real estate worth 100 million yen."

[0905] Step 8: Sending the generated results

[0906] The server transmits the generated will and inheritance distribution list templates to the user's terminal.

[0907] Input: Generated template.

[0908] Output: Send the template to the user's terminal.

[0909] Specific operation: The server sends the generated document to the user's device as an HTTP response, allowing the user to view the document. For example, it displays a link to download the will PDF.

[0910] Step 9: Check and correct the results

[0911] The user checks the generated template of the will and inheritance distribution list and modifies it as necessary.

[0912] Input: Generated template.

[0913] Output: Corrected data.

[0914] Specific operation: The user checks the document and corrects any inappropriate parts through the input form again, for example, "check the contents of the will and change the distribution of the estate."

[0915] Step 10: Submit and regenerate corrected data

[0916] The user sends the corrected data to the server again, and the server verifies the data again and passes it to the generative AI model to regenerate the template.

[0917] Input: Correction data.

[0918] Output: The regenerated template.

[0919] Specific operation: The user submits the revised data, and the server re-verifies the data and passes it to the generative AI model to regenerate the updated will and inheritance distribution list template. For example, it performs an operation such as "regenerate the revised will and send it to the user."

[0920] As a result, users can create wills and estate distribution lists that comply with the law efficiently and without stress.

[0921] (Application example 2)

[0922] 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."

[0923] Existing systems do not take into account the user's emotional state when creating a will and estate distribution list, which can lead to mental stress. Furthermore, the user interface for creating a will is fixed, which creates usability issues. This can lead to users interrupting their work or failing to enter accurate information.

[0924] 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.

[0925] In this invention, the server includes means for inputting information about the heirs, means for inputting a list of the heirs' assets, means for transmitting the input information to the server, means for the server to verify the information received, means for passing the verified data to a generative AI model to generate a template will and estate distribution list, means for transmitting the generated template will and estate distribution list to the user's device, means for the user to check and modify the generated results, means for transmitting the modified data back to the server to regenerate the modified will and estate distribution list template, means for detecting the user's emotional state and dynamically adjusting the user interface based on the emotional state, means for using the device's microphone and camera to detect emotions, means for generating and displaying support messages in accordance with the detected emotional state, and means for providing relaxing content. This allows the user to create a will and estate distribution list comfortably and efficiently without feeling stressed.

[0926] An "heir" is a person who is the subject of inheritance and has the right to receive the estate under the will.

[0927] "List of assets of the person" refers to a list of assets such as cash, real estate, and stocks held by the person making the will.

[0928] "Server" refers to a computer system that receives data sent from a client via a network and processes, stores, and transmits it.

[0929] A "generative AI model" refers to a program or algorithm that uses artificial intelligence technology to generate a template will and estate distribution list from specific data.

[0930] A "will" is a document that legally specifies how an individual's assets should be distributed after their death.

[0931] An "estate distribution list" is a list of assets that will be specifically distributed to each heir based on the will.

[0932] "User's device" refers to an electronic device such as a computer, smartphone, or tablet that is directly operated by the user.

[0933] "Emotional state" refers to a user's current psychological and emotional state, including specific emotions such as stress, joy, and relaxation.

[0934] A "user interface" is a software component that includes elements such as a screen and input means for a user to interact with a system.

[0935] "Dynamic adjustment" refers to changing the display content and functionality of the user interface in real time according to the user's emotional state and operations.

[0936] A "support message" is a text or voice message containing advice or recommendations to help users use the system smoothly.

[0937] "Relaxing content" refers to music, videos, text messages, etc. that are provided to help users feel mentally stable and relaxed.

[0938] "Emotion detection" is the process of analyzing a user's facial expressions and voice using the device's microphone and camera to determine their current emotional state.

[0939] A specific embodiment of the present invention will be described below. The user inputs information about the heirs and a list of their assets into a terminal. The server receives this input data and verifies it. If there are any deficiencies, an error message is generated and notifies the user. Once verified, the data is passed to a generative AI model, which generates templates for a will and inheritance distribution list. During this process, an emotion engine is used to detect the user's emotional state in real time and dynamically adjust the interface.

[0940] The user's emotional state is detected using the device's camera and microphone. Video data from the camera is used to analyze facial expressions, and audio data from the microphone is used to perform audio analysis. This allows the user's emotional state, such as stress, joy, or relaxation, to be transmitted to the server in real time.

[0941] The server dynamically adjusts the interface and support messages based on emotional feedback. For example, if the user is feeling stressed, it displays simple instructions or encouraging messages. If the user is in a negative emotional state, it provides discount coupons or relaxing content.

[0942] The generated will and inheritance distribution list templates are sent to the user's device, where the user can review and modify them as necessary. The modified data is then sent back to the server, where the generative AI model regenerates the will and inheritance distribution list templates. This process can be repeated until the user is satisfied.

[0943] The hardware required is a device equipped with a user's camera and microphone. The software used is OpenCV for image processing, Keras for emotion recognition, and Vosk for voice recognition. By combining these, it is possible to accurately capture the user's emotional state.

[0944] For example, if the emotion engine detects that a user is feeling stressed while purchasing a high-value item, the system can simplify the payment process, display discount coupons, and provide a relaxing video after successful payment.

[0945] An example of a prompt is as follows:

[0946] "If you detect that a user is experiencing stress while purchasing a high-value item, please provide specific suggestions on how to adjust the checkout interface."

[0947] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0948] Step 1:

[0949] The user inputs information about the person to whom he or she will inherit and a list of the person's assets into the terminal.

[0950] input:

[0951] Information on the heir (name, age, relationship)

[0952] A list of the person's assets (cash, real estate, stocks, etc.)

[0953] output:

[0954] The information entered is saved in the form on your device.

[0955] Specific operation: The user types the required information into the input form on the terminal and then clicks the "Submit" button.

[0956] Step 2:

[0957] The terminal transmits the input information to the server.

[0958] input:

[0959] Information on heirs and asset list entered by the user

[0960] output:

[0961] Data packets sent to the server

[0962] Specific operation: Uses the device's sending function to send the input information to the server as a JSON-formatted data packet.

[0963] Step 3:

[0964] The server verifies the information received.

[0965] input:

[0966] Received information on heirs and asset list

[0967] output:

[0968] Validation result (if the format is correct, proceed to the next step; if there is an error, an error message)

[0969] Specific operation: The server checks the data format and required fields, and if the validation is successful, proceeds to the next step. If an error is detected, an error message is generated and notified to the user.

[0970] Step 4:

[0971] Once the verification is complete, the data is passed to a generative AI model to generate a template for a will and inheritance distribution list.

[0972] input:

[0973] Verified inheritance information and asset list

[0974] output:

[0975] A template will and estate distribution list created by a generative AI model

[0976] How it works: The server invokes the generative AI model, passing the validated data as input, which then generates a template will and estate distribution list based on that data.

[0977] Step 5:

[0978] The generated will and inheritance distribution list templates are sent to the user's terminal.

[0979] input:

[0980] Generated will and inheritance distribution list templates

[0981] output:

[0982] Data sent to the user's device

[0983] Specific operation: The server sends the generated document data to the user's terminal and instructs the terminal to display it.

[0984] Step 6:

[0985] The user checks and corrects the generated results.

[0986] input:

[0987] Generated will and inheritance distribution list templates

[0988] output:

[0989] Corrected data

[0990] Specific operation: The user checks the received document and edits any necessary corrections on the terminal. After editing, the user clicks the "Resend" button.

[0991] Step 7:

[0992] The modified data is sent to the server again, and the modified will and inheritance distribution list templates are regenerated.

[0993] input:

[0994] Revised inheritance information and asset list

[0995] output:

[0996] Regenerated will and estate distribution list templates

[0997] Specific operation: The server receives the retransmitted corrected data and passes it to the generative AI model again to regenerate the will and inheritance distribution list template.

[0998] Step 8:

[0999] The emotional state of a user is detected and the user interface is dynamically adjusted based on the emotional state.

[1000] input:

[1001] User's facial expression and voice data

[1002] output:

[1003] Interface adjustment and support messages according to emotional state

[1004] What it does: It uses the device's camera and microphone to capture facial expressions and voice in real time, analyzes them with an emotion detection model, and changes interface settings based on the results to display necessary support messages.

[1005] Step 9:

[1006] A support message is generated and displayed in response to the detected emotional state.

[1007] input:

[1008] Detected emotion data

[1009] output:

[1010] Displaying a support message

[1011] Specific operation: Determine the user's emotional state from the results of emotion detection, and generate and display appropriate support messages and advice.

[1012] Step 10:

[1013] Providing relaxing content.

[1014] input:

[1015] The user's emotional state

[1016] output:

[1017] Relaxing content (music, videos, etc.)

[1018] Specific operation: If the detected emotional state is negative, display content (music, videos, etc.) that will help the user relax.

[1019] 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.

[1020] 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.

[1021] 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.

[1022] [Third embodiment]

[1023] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1024] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1025] 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).

[1026] 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.

[1027] 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.

[1028] 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).

[1029] 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.

[1030] 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.

[1031] 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.

[1032] 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.

[1033] 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.

[1034] 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."

[1035] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets.

[1036] This system is equipped with a means for users to input information about the heirs and a list of their assets. The user first enters personal information such as the name, age, and relationship of the heir into an input form. The user also enters the types of assets (cash, real estate, stocks, etc.) and their amounts for the list of assets. This data is then sent from the terminal to the server.

[1037] The server converts the received data into the appropriate format and validates the data. This validation process checks whether each field is entered correctly and generates an error message to notify the user if there are any errors. At this stage, the user can correct the errors and resubmit the data.

[1038] Once verification is complete, the server passes the data to a generative AI model, which then generates a template will and inheritance distribution list. The generated will template contains the specific inheritance distribution details for each heir in accordance with the law. An inheritance distribution list is also generated in the same way, describing the specific inheritance distribution for each heir.

[1039] The generated will and inheritance distribution list templates are sent from the server to the user's device. The user can review these documents and make any necessary corrections or corrections. Once the user enters and submits the corrected data, the server again verifies the data and generates an updated will and inheritance distribution list using an AI model.

[1040] As a specific example, consider the case where user A enters the following information:

[1041] Inheritance recipients:

[1042] Name: Taro Tanaka

[1043] Age: 45

[1044] Relationship: Children

[1045] Name: Hanako Tanaka

[1046] Age: 42

[1047] Relationship: Children

[1048] Your asset list:

[1049] Cash: 5 million yen

[1050] Real estate: 100 million yen (home)

[1051] Stock: 20 million yen

[1052] First, User A enters the names of heirs and a list of assets into an input form and sends the data to the server. The server receives the data and verifies it. If there are no problems, the generative AI model is activated and a template will and inheritance distribution list is generated, as shown below.

[1053] Will (template):

[1054] I, Yamada Ichiro, hereby leave the following will.

[1055] 1. Yamada Taro will inherit 5 million yen in cash.

[1056] 2. Yamada Taro and Yamada Hanako will each inherit half of the home real estate (valued at 100 million yen).

[1057] 3. Yamada Hanako will inherit 20 million yen worth of stocks.

[1058] Reiwa X year Y month Z day

[1059] Ichiro Yamada

[1060] This document is sent to User A, who checks the contents. If any corrections are needed, the user enters the corrections and resubmits the document. The server receives it and regenerates it. By repeating this process, User A can obtain an accurate will and inheritance distribution list that complies with the law.

[1061] A key feature of this system is that all processing steps are automated, making it easy to use even for those without specialized knowledge, allowing users to quickly and efficiently create wills and estate distribution lists.

[1062] The processing flow will be explained below.

[1063] Step 1:

[1064] The user enters the information of the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into the tool's input form. Once the input is complete, the user clicks the send button to send the data from the device to the server.

[1065] Step 2:

[1066] The terminal converts the input data into JSON format and sends it to the server, which receives the request.

[1067] Step 3:

[1068] The server analyzes the received data and verifies that each item (name, age, relationship, asset list) is entered in the correct format. If there are any errors, an error message is generated and the verification result is sent to the terminal.

[1069] Step 4:

[1070] The terminal notifies the user of the verification result received from the server. The user makes the necessary corrections based on the error message and submits the data again.

[1071] Step 5:

[1072] The server re-verifies the re-submitted data, and once it has confirmed that all data has been entered in the correct format, it passes the verified data to the generative AI model.

[1073] Step 6:

[1074] The generative AI model uses the verified data to generate a template for a will and inheritance distribution list. Specifically, it analyzes the information of the heirs and the asset list, and determines the distribution details for each heir in accordance with the Civil Code.

[1075] Step 7:

[1076] The server converts the generated will and inheritance distribution list templates into JSON format and sends them to the terminal.

[1077] Step 8:

[1078] The device converts the data received from the server into an appropriate UI format and displays it to the user. The user checks the generated template and makes any necessary corrections.

[1079] Step 9:

[1080] The user enters the corrections into the input form and sends the data again from the terminal to the server.

[1081] Step 10:

[1082] The server again verifies the received revised data and passes it to the generative AI model to regenerate the will and estate distribution list. This process is carried out by repeating steps 4 to 7.

[1083] Example 1

[1084] 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."

[1085] In the past, creating wills and estate distribution lists required specialized knowledge, and creating accurate documents in accordance with the law required a great deal of time and effort. Furthermore, manual processing was prone to input errors and formatting errors, requiring repeated corrections, making it extremely inefficient. The present invention aims to solve these problems by providing a system that allows users to easily and quickly automatically generate wills and estate distribution lists that comply with the law.

[1086] 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.

[1087] In this invention, the server includes means for inputting information about the heir, means for inputting a list of the heir's assets, means for converting the input information into a data format and sending it to the server, means for converting the format of the information received by the server and verifying the data, means for converting the verified data into a prompt for the generative AI model, means for passing the prompt to the generative AI model and generating a template for a will and an estate distribution list, means for sending the generated template for a will and estate distribution list to the user's terminal, means for the user to check and correct the generated results, and means for sending the corrected data back to the server, re-verifying it, and re-generating the corrected template for a will and estate distribution list using the generative AI model. This allows legally compliant templates for a will and estate distribution list to be automatically created based on the information entered by the user, and subsequent corrections to be made accurately and quickly.

[1088] "Information on the person to be inherited" refers to personal information about the person to be inherited, such as name, age, and relationship.

[1089] "List of assets of the person" refers to a list of the types of assets owned by the person, such as cash, real estate, stocks, etc., and their amounts.

[1090] "Means for converting into a data format" refers to the process of converting the information entered by the user into a format that is easy to process within the system.

[1091] "Means for transmitting to the server" refers to the process of transmitting data from the user terminal to the server using a communication protocol.

[1092] "Means for converting the format of information received by the server" refers to the process by which the server converts the data received into a data format for internal processing.

[1093] "Means for validating data" refers to a process that verifies the accuracy and completeness of received data and generates an error message if there are any deficiencies.

[1094] "Means for converting the data into prompts for the generative AI model" refers to the process of converting the verified data into a document (prompt) in a format that can be understood by the generative AI model.

[1095] "Means for passing a prompt sentence to a generative AI model" refers to the process of providing the converted prompt sentence to the generative AI model and causing it to start processing.

[1096] "Means for generating a template will and estate distribution list" refers to the process by which a generative AI model creates an initial version of a will and estate distribution list based on prompt text.

[1097] "Means for transmitting the generated template of the will and inheritance distribution list to the user's terminal" refers to the process of delivering the generated documents to the user's terminal.

[1098] "Means for the user to check and correct the generated results" refers to the process by which the user checks the will and inheritance distribution list generated on the terminal and makes changes as necessary.

[1099] "Means of sending the revised data back to the server, re-validating it, and then re-generating the revised will and inheritance distribution list template using the generative AI model" refers to the process of sending the user's revisions back to the server, validating and generating them again, and creating the latest documents.

[1100] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets.

[1101] Hardware and software used

[1102] The system is implemented using the following hardware and software.

[1103] Hardware: User devices (PCs, tablets, smartphones, etc.), servers (hosting databases and AI models)

[1104] Software: input form programs (web applications), server-side scripts (data validation and processing), generative AI models (e.g., GPT-3)

[1105] Specific operation of the system

[1106] 1. User information input and data submission

[1107] The user enters the information of the heir and a list of his / her assets into the input form of the web application. For example, the user enters the following information:

[1108] Inheritance recipients:

[1109] Name: Taro Tanaka

[1110] Age: 45

[1111] Relationship: Children

[1112] Name: Hanako Tanaka

[1113] Age: 42

[1114] Relationship: Children

[1115] Your asset list:

[1116] Cash: 5 million yen

[1117] Real estate: 100 million yen (home)

[1118] Stock: 20 million yen

[1119] Once the input is complete, the device sends this information to the server in JSON format.

[1120] 2. Server data reception and format conversion

[1121] The server receives the JSON data and converts it into an internal data format, such as a Python dictionary, to facilitate further processing.

[1122] 3. Data Verification

[1123] The server verifies that each item in the received data has been entered properly. If there is an error, it generates an error message and sends it to the terminal to notify the user. The message might be something like "Your age has not been entered."

[1124] 4. Generate prompts for the data

[1125] The server creates a prompt for the generative AI model based on the validated data. For example, the following prompt is generated:

[1126] Prompt statement:

[1127] Inheritors: Taro Tanaka (age 45, child) and Hanako Tanaka (age 42, child)

[1128] Asset list: 5 million yen in cash, 100 million yen in real estate (home), 20 million yen in stocks

[1129] Based on this information, please generate a template will and estate distribution list using the following content.

[1130] 5. Generation of wills and estate distribution lists

[1131] The server sends the generated prompts to a generative AI model (e.g., GPT-3) to generate a template for a will and inheritance distribution list. This AI model generates legally compliant documents based on a large amount of training data.

[1132] Generation example:

[1133] I, Yamada Ichiro, hereby leave the following will.

[1134] 1. Taro Tanaka will inherit 5 million yen in cash.

[1135] 2. Taro Tanaka and Hanako Tanaka will each inherit half of the home real estate (valued at 100 million yen).

[1136] 3. Hanako Tanaka will inherit 20 million yen worth of stocks.

[1137] Reiwa X year Y month Z day

[1138] Ichiro Yamada

[1139] 6. Sending and Modifying Generated Results to the User

[1140] The generated will and inheritance distribution list are sent from the server to the user's terminal, where the user can confirm the contents. The user can then amend the documents on the terminal as necessary and send the amended data back to the server.

[1141] 7. Modify and Regenerate

[1142] The server then verifies the revised data again and uses the generative AI model to regenerate the revised will and estate distribution list, ultimately providing the user with a satisfactory document.

[1143] In this way, by using this system, users can easily and quickly create wills and inheritance distribution lists that comply with the law, even if they do not have specialized knowledge.

[1144] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1145] Step 1:

[1146] The user enters inheritance information

[1147] Specific operation:

[1148] The user enters the information of the heir (name, age, relationship, etc.) and a list of the person's assets (e.g., 5 million yen in cash, 100 million yen in real estate, 20 million yen in stocks) into the input form. A JSON-formatted string is generated as the input data.

[1149] input:

[1150] Inheritance information, asset list information

[1151] output:

[1152] Input data in JSON format

[1153] Step 2:

[1154] The device sends the data to the server

[1155] Specific operation:

[1156] Once the user input is complete, the device sends the generated JSON formatted data to the server using HTTP POST as the communication protocol.

[1157] input:

[1158] Input data in JSON format

[1159] output:

[1160] Request to send data to the server

[1161] Step 3:

[1162] The server receives the data and converts it

[1163] Specific operation:

[1164] The server receives the JSON data and converts it into a Python dictionary, which makes it easier to validate and generate the data.

[1165] input:

[1166] Received JSON data

[1167] output:

[1168] Python dictionary data

[1169] Step 4:

[1170] The server validates the data

[1171] Specific operation:

[1172] The server verifies that each item in the received data has been entered correctly. For example, it checks that the age is a number and that there are no errors in the asset list. If there are any errors, it generates an error message and sends it to the terminal.

[1173] input:

[1174] Python dictionary data

[1175] output:

[1176] Validation result (success or error message)

[1177] Step 5:

[1178] Data prompt generation

[1179] Specific operation:

[1180] If the verification is successful, the server converts the data into a prompt for the generative AI model. For example, it generates a prompt in the format "Inheritors: Taro Tanaka (age 45, child) and Hanako Tanaka (age 42, child). Asset list: 5 million yen in cash, 100 million yen in real estate (home), 20 million yen in stock."

[1181] input:

[1182] Verified Data

[1183] output:

[1184] Prompt statement

[1185] Step 6:

[1186] The server sends the prompt to the generative AI model.

[1187] Specific operation:

[1188] The server sends the generated prompt to the generative AI model (e.g., GPT-3) and sends a request using the API endpoint for the AI ​​model.

[1189] input:

[1190] Prompt statement

[1191] output:

[1192] Requests to a generative model

[1193] Step 7:

[1194] Generative AI model generates wills and estate plans

[1195] Specific operation:

[1196] The generative AI model generates a template for a will and inheritance distribution list based on the prompt text and sends the results back to the server.

[1197] input:

[1198] Prompt statement

[1199] output:

[1200] Generated will and inheritance distribution list templates

[1201] Step 8:

[1202] The server sends the generated results to the user's device.

[1203] Specific operation:

[1204] The server then sends the generated will and inheritance distribution list templates to the user's terminal, possibly via email or display within a web application.

[1205] input:

[1206] Generated will and inheritance distribution list templates

[1207] output:

[1208] Sending the generated results to the user device

[1209] Step 9:

[1210] The user checks and corrects the generated results

[1211] Specific operation:

[1212] The user checks the will and inheritance distribution list generated on the device and makes any necessary corrections. After making the corrections, the correction data is sent back to the server in JSON format.

[1213] input:

[1214] Generated wills and estate distribution lists

[1215] output:

[1216] Modified JSON format data

[1217] Step 10:

[1218] The server revalidates and regenerates the corrected data

[1219] Specific operation:

[1220] The server verifies the revised data again, and if there are no problems, generates a revised prompt sentence and sends it again to the AI ​​model. The AI ​​model then generates a revised will and inheritance distribution list and resends them to the user via the server.

[1221] input:

[1222] Modified JSON format data

[1223] output:

[1224] Regenerated wills and estate lists

[1225] The above is a description of the specific processing steps. By using this system, users can easily generate wills and estate distribution lists that comply with the law and quickly make corrections as needed.

[1226] (Application example 1)

[1227] 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."

[1228] The traditional process of creating wills and estate distribution lists required specialized knowledge, was cumbersome, and time-consuming. Furthermore, asset management and maintenance plans within factories were also done manually, requiring a great deal of time and effort. Therefore, there is a need for a system that allows anyone to easily create legally compliant wills and estate distribution lists, and automatically generate asset allocation and maintenance plans within factories.

[1229] 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.

[1230] In this invention, the server includes a means for inputting information on the heir, a means for inputting a list of assets of the heir, and a means for inputting asset information of the factory, which enables the generation of a legally compliant will and inheritance distribution list, as well as the automatic generation of asset distribution and maintenance plans within the factory.

[1231] "Means for entering information about the heirs" refers to an interface that allows users to enter personal information about the inheritance (such as name, age, relationship, etc.).

[1232] "Means for inputting a list of the user's assets" refers to an interface for inputting information about assets owned by the user (cash, real estate, stocks, etc.).

[1233] "Means for transmitting input information to a server" refers to the function of transmitting the information on heirs and asset list input by the user to a server via the Internet.

[1234] The "means for verifying the information received by the server" is a function that checks whether the information received by the server is accurate, and if there is any deficiency, generates an error message to notify the user.

[1235] "Means of passing verified data to a generative AI model and generating a template will and estate distribution list" refers to a function that inputs verified data into an AI model and creates a template will and estate distribution list that complies with the law.

[1236] "Means for sending the generated will and inheritance distribution list template to the user's terminal" is a function that sends the generated document to the user's terminal for confirmation and correction by the user.

[1237] "Means for users to check and correct the generated results" refers to an interface that allows users to check the generated document and correct any deficiencies or changes.

[1238] "Means for sending the modified data to the server again and regenerating the modified will and estate distribution list template" is a function for sending the user's modifications to the server again and generating an updated will and estate distribution list.

[1239] The "means for inputting factory asset information" is an interface for inputting asset information such as machinery and raw materials within the factory.

[1240] The "means for generating a maintenance plan for factory assets" is a function for automatically generating an optimal maintenance plan based on input factory asset information.

[1241] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and their asset list. It is also possible to input information about factory assets and automatically generate optimal asset distribution lists and maintenance plans. Specific embodiments of the present invention are described below.

[1242] This system is equipped with a means for inputting information about the heirs, a means for inputting a list of the heirs' assets, and a means for inputting asset information for the factory. The user first enters personal information about the heirs, such as their name, age, and relationship, into an input form. For the list of assets, the user also enters the type of asset (cash, real estate, stocks, etc.) and its amount. Similarly, information about assets within the factory (machinery, raw materials, products, equipment) is also entered. This data is sent from the user's terminal to the server.

[1243] The server converts the received data into the appropriate format and performs data validation, which checks whether each field is entered correctly and generates an error message to notify the user if there are any errors, allowing the user to correct the errors and resubmit.

[1244] Once the verification is complete, the data is passed to a generative AI model, which generates a template for a will and inheritance distribution list, or a template for a factory asset distribution list or maintenance plan. The generated documents are sent from the server to the user's device. The user can review these documents and make any corrections or amendments they find. When the user enters the corrected data and resubmits it, the server verifies the data again and generates the updated documents using the AI ​​model.

[1245] The hardware used includes smartphones and tablets for users to input data, as well as robots in factories to check asset placement and execute maintenance plans. The software uses programming languages ​​such as Python to send, receive, and generate data. On the server side, systems run to validate data and execute generative AI models.

[1246] As a concrete example, consider the case where a user enters the following information:

[1247] Inheritance: Name: A, Age: 45, Relationship: Child

[1248] His assets: Cash: 5 million yen, Real estate: 100 million yen (home), Stocks: 20 million yen

[1249] Factory assets: Machine A, installed in Factory 1, value 1 million yen, last maintenance date 2023-01-15

[1250] This data is sent to the server and after verification the following result is generated:

[1251] Will (template):

[1252] I, B, hereby make the following will:

[1253] 1. A will inherit 5 million yen in cash.

[1254] 2. A and B will each inherit half of the home real estate (valued at 100 million yen).

[1255] 3. B will inherit 20 million yen worth of stocks.

[1256] Reiwa X year Y month Z day

[1257] B

[1258] Factory asset maintenance planning

[1259] The next maintenance for Machine A will be performed on 2024-01-15.

[1260] Example prompt sentence:

[1261] Please provide information about your factory's assets. Include the name, location, value, and last maintenance date for each asset. For example:

[1262] Machine A: Factory 1, value 1 million yen, last maintenance date 2023-01-15

[1263] Material B: Warehouse 2, value 500,000 yen, last maintenance date 2023-03-20

[1264] Based on this, an optimal asset allocation list and scheduled maintenance plan is generated.

[1265] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1266] Step 1:

[1267] The user enters information about the heir, a list of his / her assets, and information about the factory's assets into an input form on the terminal. The input data includes, for example, the name, age, relationship to the heir, his / her assets (cash, real estate, stocks, etc.), and factory assets (machinery, raw materials, products, equipment names, values, last maintenance date). Once this data is entered, the terminal temporarily saves the input.

[1268] Step 2:

[1269] The terminal sends the entered data to the server. The input data is sent over the network and arrives at the server. At this time, the data is checked to ensure it is sent in the correct format and no errors occur.

[1270] Step 3:

[1271] The server validates the data it receives. Specifically, it checks whether the data format is correct and whether all required fields have been entered. If any errors are found during this validation process, the server generates an error message and sends it to the user's device. If there are no errors, the data is saved as validated.

[1272] Step 4:

[1273] The server passes the verified data to the generative AI model, which then generates templates for a will and inheritance distribution list, a factory asset distribution list, and a maintenance plan based on the input data. Specifically, the AI ​​model automatically creates legally compliant will text and an optimal maintenance plan that is useful for managing factory assets.

[1274] Step 5:

[1275] The server receives templates for wills and inheritance distribution lists, factory asset distribution lists, and maintenance plans generated by the generative AI model. The server then sends these generated documents to the user's device. If the generated documents are available in various formats (such as text or PDF), the server selects the appropriate format and sends them.

[1276] Step 6:

[1277] The user confirms the generated results. The generated will, inheritance distribution list, factory asset distribution list, and maintenance plan can be checked on the terminal, and any corrections can be made as necessary. The corrected data, like the data entered by the user, is also saved on the terminal.

[1278] Step 7:

[1279] The user sends the corrected data back to the server. The server receives the corrected data and verifies it again. If there are no errors, the data is passed to the generative AI model again to generate an updated will and inheritance distribution list, factory asset distribution list, and maintenance plan.

[1280] Step 8:

[1281] The server sends the regenerated will and inheritance distribution list, factory asset distribution list, and maintenance plan to the user's device. The user then performs a final confirmation, completing the system's automatic generation process. Through this process, users can obtain a legally compliant will and an efficient factory asset management and maintenance plan without any specialized knowledge.

[1282] 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.

[1283] This invention combines an emotion engine with a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets. This system adjusts the interface according to the user's emotional state, making the will creation experience more comfortable.

[1284] This system provides a means for users to input information about the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.). Users enter this information into the input form and click the send button to send the data from their terminal to the server.

[1285] The server analyzes the received data and verifies that each item (name, age, relationship, asset list) is entered in the correct format. If there are any errors, an error message is generated to notify the user. The user can then correct the errors and resubmit the data.

[1286] Once verification is complete, the server passes the data to a generative AI model, which then generates a template will and inheritance distribution list. The generated will template contains the specific inheritance distribution details for each heir in accordance with the law. An inheritance distribution list is also generated, describing the specific inheritance distribution for each heir.

[1287] By combining this with an emotion engine, it is possible to recognize the emotional state of the user when performing input tasks. Specifically, the device's built-in camera and microphone are used to analyze the user's facial expressions and voice to detect their emotional state. This emotional data is sent to the server in real time and used to adjust the interface to improve the user experience.

[1288] Based on the detected emotional data, the user interface can be adjusted accordingly. For example, if the user is feeling stressed, the system can present simpler and clearer instructions and generate appropriate support messages. Additionally, if a negative emotional state is recognized, the system can offer additional support options and help to facilitate the user's task.

[1289] The generated will and inheritance distribution list templates are sent from the server to the user's device. The user checks these documents, and if any corrections are necessary, they are made again in the input form and the data is sent to the server. The server again verifies the data and passes it to the generative AI model to regenerate the documents. This process is repeated until the user is satisfied.

[1290] As a concrete example, assume that User B enters the following information:

[1291] Inheritance recipients:

[1292] Name: Taro Tanaka

[1293] Age: 45

[1294] Relationship: Children

[1295] Name: Hanako Tanaka

[1296] Age: 42

[1297] Relationship: Children

[1298] Your asset list:

[1299] Cash: 5 million yen

[1300] Real estate: 100 million yen (home)

[1301] Stock: 20 million yen

[1302] While User B is typing, the device's camera and microphone detect the user's emotional state and notify the server that the user is feeling stressed. The server then adjusts the interface to make it easier for the user to use and displays a support message to help the user relax. User B can then continue typing smoothly.

[1303] This system allows the emotional engine to recognize the user's emotional state in real time and adaptively adjust the interface, making the creation of wills and inheritance distribution lists more comfortable and efficient.

[1304] The processing flow will be explained below.

[1305] Step 1:

[1306] The user enters the information of the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into the tool's input form. The user clicks the send button, and the device sends the data to the server.

[1307] Step 2:

[1308] While the user is typing, the device activates the emotion engine and uses the camera and microphone to analyze the user's facial expressions and voice in real time, thereby detecting the user's emotional state (e.g., stress, joy, confusion, etc.).

[1309] Step 3:

[1310] The device sends the detected emotion data to the server, where it is analyzed by the emotion engine to determine the user's current emotional state.

[1311] Step 4:

[1312] The server analyzes the data it receives (information on inheritors, asset list, emotion data) and verifies that each item has been entered in the correct format. If there are any errors, it generates an error message and notifies the user.

[1313] Step 5:

[1314] Based on the verified data and the user's emotional state, the server activates a generative AI model to generate a template will and inheritance distribution list. The interface messages and display methods are adjusted depending on the emotional state.

[1315] Step 6:

[1316] The server converts the generated will and inheritance distribution list template into JSON format and sends it to the user's device.

[1317] Step 7:

[1318] The device converts the data received from the server into an appropriate UI format and displays it to the user. The user checks the generated template.

[1319] Step 8:

[1320] The user checks the generated results and makes any necessary corrections. The corrections are then entered into the input form again and sent from the terminal to the server.

[1321] Step 9:

[1322] The server again verifies the received amendments and passes them to the generative AI model to regenerate the will and estate distribution list. This process involves repeating steps 4 to 7.

[1323] Step 10:

[1324] If the user's emotional state changes, the emotion engine analyzes the user's emotions again and notifies the server, which then adjusts the interface accordingly to optimize the user experience.

[1325] Example 2

[1326] 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."

[1327] In conventional will creation systems, users often felt stressed when entering information about heirs and asset lists, and the process was cumbersome because they had to manually allocate the inheritance appropriately based on the law. Furthermore, the interface did not adjust to the user's emotional state, resulting in a poor user experience. For these reasons, there was a need for an automated system incorporating an emotion engine that would allow users to create wills and inheritance distribution lists comfortably.

[1328] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting information about the heir, means for inputting the heir's asset list, means for transmitting the input information to the server, means for the server to verify the information received, means for passing the verified data to a generation AI model and generating a template for a will and an estate distribution list, means for transmitting the generated template for the will and estate distribution list to the user's terminal, means for the user to check and modify the generation results, means for transmitting the modified data again to the server and regenerating the modified template for the will and estate distribution list, means for analyzing the user's facial expressions and voice using the terminal's camera and microphone to detect the user's emotional state, means for transmitting the detected emotional data to the server in real time, and means for adjusting the user interface based on the emotional data. This automatically adjusts the interface appropriately according to the user's emotional state, allowing the user to comfortably and efficiently create a will and estate distribution list.

[1329] An "inheritor" is a person who has the right to receive property from the deceased.

[1330] An "asset list" is a list of the assets owned by the deceased, such as cash, real estate, and stocks.

[1331] A "terminal" is an electronic device that a user uses to input information and communicate with a server.

[1332] "Server" means a central processing unit for processing, analyzing, and generating information received from users.

[1333] A "generative AI model" is an artificial intelligence algorithm that generates legally compliant will and estate distribution list templates based on input data.

[1334] The "emotion engine" is a technology that analyzes the user's facial expressions and voice to detect their emotional state.

[1335] The "input form" is an interface that allows users to input information about the heirs and a list of assets.

[1336] "Validation" is the process of checking that entered data is in the correct format.

[1337] A "template" is a basic template for describing specific content.

[1338] "Interface adjustment" refers to adjustments that change the system display and operation method according to the user's emotional state.

[1339] An "error message" is a message that notifies the user when there is an error in input or processing.

[1340] This invention is a system that automatically generates legally compliant will and inheritance distribution list templates by allowing users to input information about heirs and a list of their assets. This system is combined with an emotion engine to adjust the interface according to the user's emotional state, improving the will creation experience.

[1341] The system uses the following hardware and software:

[1342] Hardware used:

[1343] 1. Device: An electronic device that allows users to input information. Examples include computers, tablets, and smartphones. These devices are equipped with cameras and microphones that are used to analyze the user's facial expressions and voice.

[1344] 2. Server: A central processing unit that verifies input data, generates templates using AI models, analyzes emotional data, etc.

[1345] Software used:

[1346] 1. Input form: An interface such as a web application that allows users to enter information about the heir (name, age, relationship) and a list of the individual's assets (cash, real estate, stocks, etc.).

[1347] 2. Generative AI model: An artificial intelligence algorithm that generates legally compliant will and estate distribution list templates based on data entered by the user.

[1348] 3. Emotion Engine: Software that analyzes the user's facial expressions and voice to detect their emotional state in real time. This allows it to detect stress or anxiety when the user is performing input tasks and display appropriate interfaces and support messages.

[1349] A specific example is as follows:

[1350] Consider the case where User B enters the following information as an inheritor:

[1351] Inheritance recipients:

[1352] Name: A

[1353] Age: 45

[1354] Relationship: Children

[1355] Name: B

[1356] Age: 42

[1357] Relationship: Children

[1358] Your asset list:

[1359] Cash: 5 million yen

[1360] Real estate: 100 million yen (home)

[1361] Stock: 20 million yen

[1362] User B enters this information into the input form and clicks the submit button. At this time, the device's camera and microphone analyze the user's facial expressions and voice, and the emotional state is transmitted to the server via the emotion engine. For example, if User B is feeling stressed, the server adjusts the interface to display simpler and clearer instructions and support messages to help them relax.

[1363] The server then verifies the received data and generates an error message to notify the user if there are any errors. If the user corrects the errors and resubmits the data, the server verifies the data again and passes it to the generative AI model to generate a template will and inheritance distribution list. This process is repeated until the user is satisfied.

[1364] Example prompt sentence:

[1365] "Please explain a system that generates a template will containing specific legally required inheritance distribution details based on information entered by the user (name, age, relationship, asset list), and uses an emotion engine to adapt the interface in real time."

[1366] This system allows the emotional engine to recognize the user's emotional state in real time and adaptively adjust the interface, making the creation of wills and inheritance distribution lists more comfortable and efficient.

[1367] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1368] Step 1: Enter your information

[1369] The user enters information about the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into an input form. This input form is provided as a web application.

[1370] Input: Information about the heirs and a list of assets.

[1371] Output: The input data.

[1372] Specific operation: The user accesses the input form using a web browser and enters the necessary information. For example, they enter information such as "Taro Tanaka (age 45, child)" and "Cash: 5 million yen," and then confirms that the information is correct.

[1373] Step 2: Sending data

[1374] When the user has completed the input, he / she clicks the send button, which sends the data from the user's terminal to the server.

[1375] Input: Data entered.

[1376] Output: A request to the server to send data.

[1377] Specific operation: When the user clicks the send button, the terminal sends the input data to the server as an HTTP request. For example, when the "Send" button is clicked, the data is sent to the server in JSON format.

[1378] Step 3: Receiving and verifying data

[1379] The server receives the data sent from the user's terminal.

[1380] The server analyzes the received data and verifies that each item has been entered in the correct format, specifically by checking the string format and numeric range.

[1381] Input: Data sent from the terminal.

[1382] Output: Validation result (error message or success message).

[1383] Specific operation: The data analysis module on the server side analyzes the data, and if there are any errors, it generates an error message and notifies the user. For example, it displays an error message such as "The name field is empty."

[1384] Step 4: Detecting emotional state

[1385] The device uses a camera and microphone to analyze the user's facial expressions and voice while the user is typing to detect their emotional state, for example, using a facial expression analysis algorithm to detect stress or tension.

[1386] Input: Real-time data from camera and microphone.

[1387] Output: User's emotional state data.

[1388] How it works: Emotion analysis software running on the device analyzes the user's facial expressions and voice in real time to determine their emotional state. For example, the analysis result may be, "The user's voice is trembling, so they are feeling stressed."

[1389] Step 5: Sending emotion data

[1390] The device transmits the detected emotion data to the server in real time.

[1391] Input: User emotional state data.

[1392] Output: A request to send emotion data to the server.

[1393] Specific operation: The emotion analysis results are sent to the server as an HTTP request, for example, sending data such as "the user is feeling stressed."

[1394] Step 6: Adjust the interface

[1395] The server analyzes the received emotional data and adapts the interface according to the user's emotional state, specifically displaying simpler and clearer instructions when stress is detected.

[1396] Input: Emotion data.

[1397] Output: Interface adjustment request.

[1398] Specific operation: The server executes the interface adjustment algorithm according to the emotional state and sends a new interface display command to the device, such as displaying a message like "Please relax. We will display the instructions clearly."

[1399] Step 7: Generate data

[1400] The server passes the verified data to a generative AI model to generate a template for a will and inheritance distribution list.

[1401] Input: Validated data.

[1402] Output: Template for will and estate distribution list.

[1403] Specific operation: Based on the input data, the generative AI model generates legally compliant will and inheritance distribution list templates, outputting documents containing content such as "Taro Tanaka will inherit real estate worth 100 million yen."

[1404] Step 8: Sending the generated results

[1405] The server transmits the generated will and inheritance distribution list templates to the user's terminal.

[1406] Input: Generated template.

[1407] Output: Send the template to the user's terminal.

[1408] Specific operation: The server sends the generated document to the user's device as an HTTP response, allowing the user to view the document. For example, it displays a link to download the will PDF.

[1409] Step 9: Check and correct the results

[1410] The user checks the generated template of the will and inheritance distribution list and modifies it as necessary.

[1411] Input: Generated template.

[1412] Output: Corrected data.

[1413] Specific operation: The user checks the document and corrects any inappropriate parts through the input form again, for example, "check the contents of the will and change the distribution of the estate."

[1414] Step 10: Submit and regenerate corrected data

[1415] The user sends the corrected data to the server again, and the server verifies the data again and passes it to the generative AI model to regenerate the template.

[1416] Input: Correction data.

[1417] Output: The regenerated template.

[1418] Specific operation: The user submits the revised data, and the server re-verifies the data and passes it to the generative AI model to regenerate the updated will and inheritance distribution list template. For example, it performs an operation such as "regenerate the revised will and send it to the user."

[1419] As a result, users can create wills and estate distribution lists that comply with the law efficiently and without stress.

[1420] (Application example 2)

[1421] 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."

[1422] Existing systems do not take into account the user's emotional state when creating a will and estate distribution list, which can lead to mental stress. Furthermore, the user interface for creating a will is fixed, which creates usability issues. This can lead to users interrupting their work or failing to enter accurate information.

[1423] 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.

[1424] In this invention, the server includes means for inputting information about the heirs, means for inputting a list of the heirs' assets, means for transmitting the input information to the server, means for the server to verify the information received, means for passing the verified data to a generative AI model to generate a template will and estate distribution list, means for transmitting the generated template will and estate distribution list to the user's device, means for the user to check and modify the generated results, means for transmitting the modified data back to the server to regenerate the modified will and estate distribution list template, means for detecting the user's emotional state and dynamically adjusting the user interface based on the emotional state, means for using the device's microphone and camera to detect emotions, means for generating and displaying support messages in accordance with the detected emotional state, and means for providing relaxing content. This allows the user to create a will and estate distribution list comfortably and efficiently without feeling stressed.

[1425] An "heir" is a person who is the subject of inheritance and has the right to receive the estate under the will.

[1426] "List of assets of the person" refers to a list of assets such as cash, real estate, and stocks held by the person making the will.

[1427] "Server" refers to a computer system that receives data sent from a client via a network and processes, stores, and transmits it.

[1428] A "generative AI model" refers to a program or algorithm that uses artificial intelligence technology to generate a template will and estate distribution list from specific data.

[1429] A "will" is a document that legally specifies how an individual's assets should be distributed after their death.

[1430] An "estate distribution list" is a list of assets that will be specifically distributed to each heir based on the will.

[1431] "User's device" refers to an electronic device such as a computer, smartphone, or tablet that is directly operated by the user.

[1432] "Emotional state" refers to a user's current psychological and emotional state, including specific emotions such as stress, joy, and relaxation.

[1433] A "user interface" is a software component that includes elements such as a screen and input means for a user to interact with a system.

[1434] "Dynamic adjustment" refers to changing the display content and functionality of the user interface in real time according to the user's emotional state and operations.

[1435] A "support message" is a text or voice message containing advice or recommendations to help users use the system smoothly.

[1436] "Relaxing content" refers to music, videos, text messages, etc. that are provided to help users feel mentally stable and relaxed.

[1437] "Emotion detection" is the process of analyzing a user's facial expressions and voice using the device's microphone and camera to determine their current emotional state.

[1438] A specific embodiment of the present invention will be described below. The user inputs information about the heirs and a list of their assets into a terminal. The server receives this input data and verifies it. If there are any deficiencies, an error message is generated and notifies the user. Once verified, the data is passed to a generative AI model, which generates templates for a will and inheritance distribution list. During this process, an emotion engine is used to detect the user's emotional state in real time and dynamically adjust the interface.

[1439] The user's emotional state is detected using the device's camera and microphone. Video data from the camera is used to analyze facial expressions, and audio data from the microphone is used to perform audio analysis. This allows the user's emotional state, such as stress, joy, or relaxation, to be transmitted to the server in real time.

[1440] The server dynamically adjusts the interface and support messages based on emotional feedback. For example, if the user is feeling stressed, it displays simple instructions or encouraging messages. If the user is in a negative emotional state, it provides discount coupons or relaxing content.

[1441] The generated will and inheritance distribution list templates are sent to the user's device, where the user can review and modify them as necessary. The modified data is then sent back to the server, where the generative AI model regenerates the will and inheritance distribution list templates. This process can be repeated until the user is satisfied.

[1442] The hardware required is a device equipped with a user's camera and microphone. The software used is OpenCV for image processing, Keras for emotion recognition, and Vosk for voice recognition. By combining these, it is possible to accurately capture the user's emotional state.

[1443] For example, if the emotion engine detects that a user is feeling stressed while purchasing a high-value item, the system can simplify the payment process, display discount coupons, and provide a relaxing video after successful payment.

[1444] An example of a prompt is as follows:

[1445] "If you detect that a user is experiencing stress while purchasing a high-value item, please provide specific suggestions on how to adjust the checkout interface."

[1446] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1447] Step 1:

[1448] The user inputs information about the person to whom he or she will inherit and a list of the person's assets into the terminal.

[1449] input:

[1450] Information on the heir (name, age, relationship)

[1451] A list of the person's assets (cash, real estate, stocks, etc.)

[1452] output:

[1453] The information entered is saved in the form on your device.

[1454] Specific operation: The user types the required information into the input form on the terminal and then clicks the "Submit" button.

[1455] Step 2:

[1456] The terminal transmits the input information to the server.

[1457] input:

[1458] Information on heirs and asset list entered by the user

[1459] output:

[1460] Data packets sent to the server

[1461] Specific operation: Uses the device's sending function to send the input information to the server as a JSON-formatted data packet.

[1462] Step 3:

[1463] The server verifies the information received.

[1464] input:

[1465] Received information on heirs and asset list

[1466] output:

[1467] Validation result (if the format is correct, proceed to the next step; if there is an error, an error message)

[1468] Specific operation: The server checks the data format and required fields, and if the validation is successful, proceeds to the next step. If an error is detected, an error message is generated and notified to the user.

[1469] Step 4:

[1470] Once the verification is complete, the data is passed to a generative AI model to generate a template for a will and inheritance distribution list.

[1471] input:

[1472] Verified inheritance information and asset list

[1473] output:

[1474] A template will and estate distribution list created by a generative AI model

[1475] How it works: The server invokes the generative AI model, passing the validated data as input, which then generates a template will and estate distribution list based on that data.

[1476] Step 5:

[1477] The generated will and inheritance distribution list templates are sent to the user's terminal.

[1478] input:

[1479] Generated will and inheritance distribution list templates

[1480] output:

[1481] Data sent to the user's device

[1482] Specific operation: The server sends the generated document data to the user's terminal and instructs the terminal to display it.

[1483] Step 6:

[1484] The user checks and corrects the generated results.

[1485] input:

[1486] Generated will and inheritance distribution list templates

[1487] output:

[1488] Corrected data

[1489] Specific operation: The user checks the received document and edits any necessary corrections on the terminal. After editing, the user clicks the "Resend" button.

[1490] Step 7:

[1491] The modified data is sent to the server again, and the modified will and inheritance distribution list templates are regenerated.

[1492] input:

[1493] Revised inheritance information and asset list

[1494] output:

[1495] Regenerated will and estate distribution list templates

[1496] Specific operation: The server receives the retransmitted corrected data and passes it to the generative AI model again to regenerate the will and inheritance distribution list template.

[1497] Step 8:

[1498] The emotional state of a user is detected and the user interface is dynamically adjusted based on the emotional state.

[1499] input:

[1500] User's facial expression and voice data

[1501] output:

[1502] Interface adjustment and support messages according to emotional state

[1503] What it does: It uses the device's camera and microphone to capture facial expressions and voice in real time, analyzes them with an emotion detection model, and changes interface settings based on the results to display necessary support messages.

[1504] Step 9:

[1505] A support message is generated and displayed in response to the detected emotional state.

[1506] input:

[1507] Detected emotion data

[1508] output:

[1509] Displaying a support message

[1510] Specific operation: Determine the user's emotional state from the results of emotion detection, and generate and display appropriate support messages and advice.

[1511] Step 10:

[1512] Providing relaxing content.

[1513] input:

[1514] The user's emotional state

[1515] output:

[1516] Relaxing content (music, videos, etc.)

[1517] Specific operation: If the detected emotional state is negative, display content (music, videos, etc.) that will help the user relax.

[1518] 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.

[1519] 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.

[1520] 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.

[1521] [Fourth embodiment]

[1522] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1523] 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.

[1524] 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).

[1525] 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.

[1526] 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.

[1527] 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).

[1528] 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.

[1529] 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.

[1530] 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.

[1531] 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.

[1532] 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.

[1533] 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.

[1534] 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."

[1535] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets.

[1536] This system is equipped with a means for users to input information about the heirs and a list of their assets. The user first enters personal information such as the name, age, and relationship of the heir into an input form. The user also enters the types of assets (cash, real estate, stocks, etc.) and their amounts for the list of assets. This data is then sent from the terminal to the server.

[1537] The server converts the received data into the appropriate format and validates the data. This validation process checks whether each field is entered correctly and generates an error message to notify the user if there are any errors. At this stage, the user can correct the errors and resubmit the data.

[1538] Once verification is complete, the server passes the data to a generative AI model, which then generates a template will and inheritance distribution list. The generated will template contains the specific inheritance distribution details for each heir in accordance with the law. An inheritance distribution list is also generated in the same way, describing the specific inheritance distribution for each heir.

[1539] The generated will and inheritance distribution list templates are sent from the server to the user's device. The user can review these documents and make any necessary corrections or corrections. Once the user enters and submits the corrected data, the server again verifies the data and generates an updated will and inheritance distribution list using an AI model.

[1540] As a specific example, consider the case where user A enters the following information:

[1541] Inheritance recipients:

[1542] Name: Taro Tanaka

[1543] Age: 45

[1544] Relationship: Children

[1545] Name: Hanako Tanaka

[1546] Age: 42

[1547] Relationship: Children

[1548] Your asset list:

[1549] Cash: 5 million yen

[1550] Real estate: 100 million yen (home)

[1551] Stock: 20 million yen

[1552] First, User A enters the names of heirs and a list of assets into an input form and sends the data to the server. The server receives the data and verifies it. If there are no problems, the generative AI model is activated and a template will and inheritance distribution list is generated, as shown below.

[1553] Will (template):

[1554] I, Yamada Ichiro, hereby leave the following will.

[1555] 1. Yamada Taro will inherit 5 million yen in cash.

[1556] 2. Yamada Taro and Yamada Hanako will each inherit half of the home real estate (valued at 100 million yen).

[1557] 3. Yamada Hanako will inherit 20 million yen worth of stocks.

[1558] Reiwa X year Y month Z day

[1559] Ichiro Yamada

[1560] This document is sent to User A, who checks the contents. If any corrections are needed, the user enters the corrections and resubmits the document. The server receives it and regenerates it. By repeating this process, User A can obtain an accurate will and inheritance distribution list that complies with the law.

[1561] A key feature of this system is that all processing steps are automated, making it easy to use even for those without specialized knowledge, allowing users to quickly and efficiently create wills and estate distribution lists.

[1562] The processing flow will be explained below.

[1563] Step 1:

[1564] The user enters the information of the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into the tool's input form. Once the input is complete, the user clicks the send button to send the data from the device to the server.

[1565] Step 2:

[1566] The terminal converts the input data into JSON format and sends it to the server, which receives the request.

[1567] Step 3:

[1568] The server analyzes the received data and verifies that each item (name, age, relationship, asset list) is entered in the correct format. If there are any errors, an error message is generated and the verification result is sent to the terminal.

[1569] Step 4:

[1570] The terminal notifies the user of the verification result received from the server. The user makes the necessary corrections based on the error message and submits the data again.

[1571] Step 5:

[1572] The server re-verifies the re-submitted data, and once it has confirmed that all data has been entered in the correct format, it passes the verified data to the generative AI model.

[1573] Step 6:

[1574] The generative AI model uses the verified data to generate a template for a will and inheritance distribution list. Specifically, it analyzes the information of the heirs and the asset list, and determines the distribution details for each heir in accordance with the Civil Code.

[1575] Step 7:

[1576] The server converts the generated will and inheritance distribution list templates into JSON format and sends them to the terminal.

[1577] Step 8:

[1578] The device converts the data received from the server into an appropriate UI format and displays it to the user. The user checks the generated template and makes any necessary corrections.

[1579] Step 9:

[1580] The user enters the corrections into the input form and sends the data again from the terminal to the server.

[1581] Step 10:

[1582] The server again verifies the received revised data and passes it to the generative AI model to regenerate the will and estate distribution list. This process is carried out by repeating steps 4 to 7.

[1583] Example 1

[1584] 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."

[1585] In the past, creating wills and estate distribution lists required specialized knowledge, and creating accurate documents in accordance with the law required a great deal of time and effort. Furthermore, manual processing was prone to input errors and formatting errors, requiring repeated corrections, making it extremely inefficient. The present invention aims to solve these problems by providing a system that allows users to easily and quickly automatically generate wills and estate distribution lists that comply with the law.

[1586] 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.

[1587] In this invention, the server includes means for inputting information about the heir, means for inputting a list of the heir's assets, means for converting the input information into a data format and sending it to the server, means for converting the format of the information received by the server and verifying the data, means for converting the verified data into a prompt for the generative AI model, means for passing the prompt to the generative AI model and generating a template for a will and an estate distribution list, means for sending the generated template for a will and estate distribution list to the user's terminal, means for the user to check and correct the generated results, and means for sending the corrected data back to the server, re-verifying it, and re-generating the corrected template for a will and estate distribution list using the generative AI model. This allows legally compliant templates for a will and estate distribution list to be automatically created based on the information entered by the user, and subsequent corrections to be made accurately and quickly.

[1588] "Information on the person to be inherited" refers to personal information about the person to be inherited, such as name, age, and relationship.

[1589] "List of assets of the person" refers to a list of the types of assets owned by the person, such as cash, real estate, stocks, etc., and their amounts.

[1590] "Means for converting into a data format" refers to the process of converting the information entered by the user into a format that is easy to process within the system.

[1591] "Means for transmitting to the server" refers to the process of transmitting data from the user terminal to the server using a communication protocol.

[1592] "Means for converting the format of information received by the server" refers to the process by which the server converts the data received into a data format for internal processing.

[1593] "Means for validating data" refers to a process that verifies the accuracy and completeness of received data and generates an error message if there are any deficiencies.

[1594] "Means for converting the data into prompts for the generative AI model" refers to the process of converting the verified data into a document (prompt) in a format that can be understood by the generative AI model.

[1595] "Means for passing a prompt sentence to a generative AI model" refers to the process of providing the converted prompt sentence to the generative AI model and causing it to start processing.

[1596] "Means for generating a template will and estate distribution list" refers to the process by which a generative AI model creates an initial version of a will and estate distribution list based on prompt text.

[1597] "Means for transmitting the generated template of the will and inheritance distribution list to the user's terminal" refers to the process of delivering the generated documents to the user's terminal.

[1598] "Means for the user to check and correct the generated results" refers to the process by which the user checks the will and inheritance distribution list generated on the terminal and makes changes as necessary.

[1599] "Means of sending the revised data back to the server, re-validating it, and then re-generating the revised will and inheritance distribution list template using the generative AI model" refers to the process of sending the user's revisions back to the server, validating and generating them again, and creating the latest documents.

[1600] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets.

[1601] Hardware and software used

[1602] The system is implemented using the following hardware and software.

[1603] Hardware: User devices (PCs, tablets, smartphones, etc.), servers (hosting databases and AI models)

[1604] Software: input form programs (web applications), server-side scripts (data validation and processing), generative AI models (e.g., GPT-3)

[1605] Specific operation of the system

[1606] 1. User information input and data submission

[1607] The user enters the information of the heir and a list of his / her assets into the input form of the web application. For example, the user enters the following information:

[1608] Inheritance recipients:

[1609] Name: Taro Tanaka

[1610] Age: 45

[1611] Relationship: Children

[1612] Name: Hanako Tanaka

[1613] Age: 42

[1614] Relationship: Children

[1615] Your asset list:

[1616] Cash: 5 million yen

[1617] Real estate: 100 million yen (home)

[1618] Stock: 20 million yen

[1619] Once the input is complete, the device sends this information to the server in JSON format.

[1620] 2. Server data reception and format conversion

[1621] The server receives the JSON data and converts it into an internal data format, such as a Python dictionary, to facilitate further processing.

[1622] 3. Data Verification

[1623] The server verifies that each item in the received data has been entered properly. If there is an error, it generates an error message and sends it to the terminal to notify the user. The message might be something like "Your age has not been entered."

[1624] 4. Generate prompts for the data

[1625] The server creates a prompt for the generative AI model based on the validated data. For example, the following prompt is generated:

[1626] Prompt statement:

[1627] Inheritors: Taro Tanaka (age 45, child) and Hanako Tanaka (age 42, child)

[1628] Asset list: 5 million yen in cash, 100 million yen in real estate (home), 20 million yen in stocks

[1629] Based on this information, please generate a template will and estate distribution list using the following content.

[1630] 5. Generation of wills and estate distribution lists

[1631] The server sends the generated prompts to a generative AI model (e.g., GPT-3) to generate a template for a will and inheritance distribution list. This AI model generates legally compliant documents based on a large amount of training data.

[1632] Generation example:

[1633] I, Yamada Ichiro, hereby leave the following will.

[1634] 1. Taro Tanaka will inherit 5 million yen in cash.

[1635] 2. Taro Tanaka and Hanako Tanaka will each inherit half of the home real estate (valued at 100 million yen).

[1636] 3. Hanako Tanaka will inherit 20 million yen worth of stocks.

[1637] Reiwa X year Y month Z day

[1638] Ichiro Yamada

[1639] 6. Sending and Modifying Generated Results to the User

[1640] The generated will and inheritance distribution list are sent from the server to the user's terminal, where the user can confirm the contents. The user can then amend the documents on the terminal as necessary and send the amended data back to the server.

[1641] 7. Modify and Regenerate

[1642] The server then verifies the revised data again and uses the generative AI model to regenerate the revised will and estate distribution list, ultimately providing the user with a satisfactory document.

[1643] In this way, by using this system, users can easily and quickly create wills and inheritance distribution lists that comply with the law, even if they do not have specialized knowledge.

[1644] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1645] Step 1:

[1646] The user enters inheritance information

[1647] Specific operation:

[1648] The user enters the information of the heir (name, age, relationship, etc.) and a list of the person's assets (e.g., 5 million yen in cash, 100 million yen in real estate, 20 million yen in stocks) into the input form. A JSON-formatted string is generated as the input data.

[1649] input:

[1650] Inheritance information, asset list information

[1651] output:

[1652] Input data in JSON format

[1653] Step 2:

[1654] The device sends the data to the server

[1655] Specific operation:

[1656] Once the user input is complete, the device sends the generated JSON formatted data to the server using HTTP POST as the communication protocol.

[1657] input:

[1658] Input data in JSON format

[1659] output:

[1660] Request to send data to the server

[1661] Step 3:

[1662] The server receives the data and converts it

[1663] Specific operation:

[1664] The server receives the JSON data and converts it into a Python dictionary, which makes it easier to validate and generate the data.

[1665] input:

[1666] Received JSON data

[1667] output:

[1668] Python dictionary data

[1669] Step 4:

[1670] The server validates the data

[1671] Specific operation:

[1672] The server verifies that each item in the received data has been entered correctly. For example, it checks that the age is a number and that there are no errors in the asset list. If there are any errors, it generates an error message and sends it to the terminal.

[1673] input:

[1674] Python dictionary data

[1675] output:

[1676] Validation result (success or error message)

[1677] Step 5:

[1678] Data prompt generation

[1679] Specific operation:

[1680] If the verification is successful, the server converts the data into a prompt for the generative AI model. For example, it generates a prompt in the format "Inheritors: Taro Tanaka (age 45, child) and Hanako Tanaka (age 42, child). Asset list: 5 million yen in cash, 100 million yen in real estate (home), 20 million yen in stock."

[1681] input:

[1682] Verified Data

[1683] output:

[1684] Prompt statement

[1685] Step 6:

[1686] The server sends the prompt to the generative AI model.

[1687] Specific operation:

[1688] The server sends the generated prompt to the generative AI model (e.g., GPT-3) and sends a request using the API endpoint for the AI ​​model.

[1689] input:

[1690] Prompt statement

[1691] output:

[1692] Requests to a generative model

[1693] Step 7:

[1694] Generative AI model generates wills and estate plans

[1695] Specific operation:

[1696] The generative AI model generates a template for a will and inheritance distribution list based on the prompt text and sends the results back to the server.

[1697] input:

[1698] Prompt statement

[1699] output:

[1700] Generated will and inheritance distribution list templates

[1701] Step 8:

[1702] The server sends the generated results to the user's device.

[1703] Specific operation:

[1704] The server then sends the generated will and inheritance distribution list templates to the user's terminal, possibly via email or display within a web application.

[1705] input:

[1706] Generated will and inheritance distribution list templates

[1707] output:

[1708] Sending the generated results to the user device

[1709] Step 9:

[1710] The user checks and corrects the generated results

[1711] Specific operation:

[1712] The user checks the will and inheritance distribution list generated on the device and makes any necessary corrections. After making the corrections, the correction data is sent back to the server in JSON format.

[1713] input:

[1714] Generated wills and estate distribution lists

[1715] output:

[1716] Modified JSON format data

[1717] Step 10:

[1718] The server revalidates and regenerates the corrected data

[1719] Specific operation:

[1720] The server verifies the revised data again, and if there are no problems, generates a revised prompt sentence and sends it again to the AI ​​model. The AI ​​model then generates a revised will and inheritance distribution list and resends them to the user via the server.

[1721] input:

[1722] Modified JSON format data

[1723] output:

[1724] Regenerated wills and estate lists

[1725] The above is a description of the specific processing steps. By using this system, users can easily generate wills and estate distribution lists that comply with the law and quickly make corrections as needed.

[1726] (Application example 1)

[1727] 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."

[1728] The traditional process of creating wills and estate distribution lists required specialized knowledge, was cumbersome, and time-consuming. Furthermore, asset management and maintenance plans within factories were also done manually, requiring a great deal of time and effort. Therefore, there is a need for a system that allows anyone to easily create legally compliant wills and estate distribution lists, and automatically generate asset allocation and maintenance plans within factories.

[1729] 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.

[1730] In this invention, the server includes a means for inputting information on the heir, a means for inputting a list of assets of the heir, and a means for inputting asset information of the factory, which enables the generation of a legally compliant will and inheritance distribution list, as well as the automatic generation of asset distribution and maintenance plans within the factory.

[1731] "Means for entering information about the heirs" refers to an interface that allows users to enter personal information about the inheritance (such as name, age, relationship, etc.).

[1732] "Means for inputting a list of the user's assets" refers to an interface for inputting information about assets owned by the user (cash, real estate, stocks, etc.).

[1733] "Means for transmitting input information to a server" refers to the function of transmitting the information on heirs and asset list input by the user to a server via the Internet.

[1734] The "means for verifying the information received by the server" is a function that checks whether the information received by the server is accurate, and if there is any deficiency, generates an error message to notify the user.

[1735] "Means of passing verified data to a generative AI model and generating a template will and estate distribution list" refers to a function that inputs verified data into an AI model and creates a template will and estate distribution list that complies with the law.

[1736] "Means for sending the generated will and inheritance distribution list template to the user's terminal" is a function that sends the generated document to the user's terminal for confirmation and correction by the user.

[1737] "Means for users to check and correct the generated results" refers to an interface that allows users to check the generated document and correct any deficiencies or changes.

[1738] "Means for sending the modified data to the server again and regenerating the modified will and estate distribution list template" is a function for sending the user's modifications to the server again and generating an updated will and estate distribution list.

[1739] The "means for inputting factory asset information" is an interface for inputting asset information such as machinery and raw materials within the factory.

[1740] The "means for generating a maintenance plan for factory assets" is a function for automatically generating an optimal maintenance plan based on input factory asset information.

[1741] The present invention relates to a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and their asset list. It is also possible to input information about factory assets and automatically generate optimal asset distribution lists and maintenance plans. Specific embodiments of the present invention are described below.

[1742] This system is equipped with a means for inputting information about the heirs, a means for inputting a list of the heirs' assets, and a means for inputting asset information for the factory. The user first enters personal information about the heirs, such as their name, age, and relationship, into an input form. For the list of assets, the user also enters the type of asset (cash, real estate, stocks, etc.) and its amount. Similarly, information about assets within the factory (machinery, raw materials, products, equipment) is also entered. This data is sent from the user's terminal to the server.

[1743] The server converts the received data into the appropriate format and performs data validation, which checks whether each field is entered correctly and generates an error message to notify the user if there are any errors, allowing the user to correct the errors and resubmit.

[1744] Once the verification is complete, the data is passed to a generative AI model, which generates a template for a will and inheritance distribution list, or a template for a factory asset distribution list or maintenance plan. The generated documents are sent from the server to the user's device. The user can review these documents and make any corrections or amendments they find. When the user enters the corrected data and resubmits it, the server verifies the data again and generates the updated documents using the AI ​​model.

[1745] The hardware used includes smartphones and tablets for users to input data, as well as robots in factories to check asset placement and execute maintenance plans. The software uses programming languages ​​such as Python to send, receive, and generate data. On the server side, systems run to validate data and execute generative AI models.

[1746] As a concrete example, consider the case where a user enters the following information:

[1747] Inheritance: Name: A, Age: 45, Relationship: Child

[1748] His assets: Cash: 5 million yen, Real estate: 100 million yen (home), Stocks: 20 million yen

[1749] Factory assets: Machine A, installed in Factory 1, value 1 million yen, last maintenance date 2023-01-15

[1750] This data is sent to the server and after verification the following result is generated:

[1751] Will (template):

[1752] I, B, hereby make the following will:

[1753] 1. A will inherit 5 million yen in cash.

[1754] 2. A and B will each inherit half of the home real estate (valued at 100 million yen).

[1755] 3. B will inherit 20 million yen worth of stocks.

[1756] Reiwa X year Y month Z day

[1757] B

[1758] Factory asset maintenance planning

[1759] The next maintenance for Machine A will be performed on 2024-01-15.

[1760] Example prompt sentence:

[1761] Please provide information about your factory's assets. Include the name, location, value, and last maintenance date for each asset. For example:

[1762] Machine A: Factory 1, value 1 million yen, last maintenance date 2023-01-15

[1763] Material B: Warehouse 2, value 500,000 yen, last maintenance date 2023-03-20

[1764] Based on this, an optimal asset allocation list and scheduled maintenance plan is generated.

[1765] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1766] Step 1:

[1767] The user enters information about the heir, a list of his / her assets, and information about the factory's assets into an input form on the terminal. The input data includes, for example, the name, age, relationship to the heir, his / her assets (cash, real estate, stocks, etc.), and factory assets (machinery, raw materials, products, equipment names, values, last maintenance date). Once this data is entered, the terminal temporarily saves the input.

[1768] Step 2:

[1769] The terminal sends the entered data to the server. The input data is sent over the network and arrives at the server. At this time, the data is checked to ensure it is sent in the correct format and no errors occur.

[1770] Step 3:

[1771] The server validates the data it receives. Specifically, it checks whether the data format is correct and whether all required fields have been entered. If any errors are found during this validation process, the server generates an error message and sends it to the user's device. If there are no errors, the data is saved as validated.

[1772] Step 4:

[1773] The server passes the verified data to the generative AI model, which then generates templates for a will and inheritance distribution list, a factory asset distribution list, and a maintenance plan based on the input data. Specifically, the AI ​​model automatically creates legally compliant will text and an optimal maintenance plan that is useful for managing factory assets.

[1774] Step 5:

[1775] The server receives templates for wills and inheritance distribution lists, factory asset distribution lists, and maintenance plans generated by the generative AI model. The server then sends these generated documents to the user's device. If the generated documents are available in various formats (such as text or PDF), the server selects the appropriate format and sends them.

[1776] Step 6:

[1777] The user confirms the generated results. The generated will, inheritance distribution list, factory asset distribution list, and maintenance plan can be checked on the terminal, and any corrections can be made as necessary. The corrected data, like the data entered by the user, is also saved on the terminal.

[1778] Step 7:

[1779] The user sends the corrected data back to the server. The server receives the corrected data and verifies it again. If there are no errors, the data is passed to the generative AI model again to generate an updated will and inheritance distribution list, factory asset distribution list, and maintenance plan.

[1780] Step 8:

[1781] The server sends the regenerated will and inheritance distribution list, factory asset distribution list, and maintenance plan to the user's device. The user then performs a final confirmation, completing the system's automatic generation process. Through this process, users can obtain a legally compliant will and an efficient factory asset management and maintenance plan without any specialized knowledge.

[1782] 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.

[1783] This invention combines an emotion engine with a system that automatically generates legally compliant wills and inheritance distribution list templates simply by inputting information about the heirs and a list of their assets. This system adjusts the interface according to the user's emotional state, making the will creation experience more comfortable.

[1784] This system provides a means for users to input information about the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.). Users enter this information into the input form and click the send button to send the data from their terminal to the server.

[1785] The server analyzes the received data and verifies that each item (name, age, relationship, asset list) is entered in the correct format. If there are any errors, an error message is generated to notify the user. The user can then correct the errors and resubmit the data.

[1786] Once verification is complete, the server passes the data to a generative AI model, which then generates a template will and inheritance distribution list. The generated will template contains the specific inheritance distribution details for each heir in accordance with the law. An inheritance distribution list is also generated, describing the specific inheritance distribution for each heir.

[1787] By combining this with an emotion engine, it is possible to recognize the emotional state of the user when performing input tasks. Specifically, the device's built-in camera and microphone are used to analyze the user's facial expressions and voice to detect their emotional state. This emotional data is sent to the server in real time and used to adjust the interface to improve the user experience.

[1788] Based on the detected emotional data, the user interface can be adjusted accordingly. For example, if the user is feeling stressed, the system can present simpler and clearer instructions and generate appropriate support messages. Additionally, if a negative emotional state is recognized, the system can offer additional support options and help to facilitate the user's task.

[1789] The generated will and inheritance distribution list templates are sent from the server to the user's device. The user checks these documents, and if any corrections are necessary, they are made again in the input form and the data is sent to the server. The server again verifies the data and passes it to the generative AI model to regenerate the documents. This process is repeated until the user is satisfied.

[1790] As a concrete example, assume that User B enters the following information:

[1791] Inheritance recipients:

[1792] Name: Taro Tanaka

[1793] Age: 45

[1794] Relationship: Children

[1795] Name: Hanako Tanaka

[1796] Age: 42

[1797] Relationship: Children

[1798] Your asset list:

[1799] Cash: 5 million yen

[1800] Real estate: 100 million yen (home)

[1801] Stock: 20 million yen

[1802] While User B is typing, the device's camera and microphone detect the user's emotional state and notify the server that the user is feeling stressed. The server then adjusts the interface to make it easier for the user to use and displays a support message to help the user relax. User B can then continue typing smoothly.

[1803] This system allows the emotional engine to recognize the user's emotional state in real time and adaptively adjust the interface, making the creation of wills and inheritance distribution lists more comfortable and efficient.

[1804] The processing flow will be explained below.

[1805] Step 1:

[1806] The user enters the information of the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into the tool's input form. The user clicks the send button, and the device sends the data to the server.

[1807] Step 2:

[1808] While the user is typing, the device activates the emotion engine and uses the camera and microphone to analyze the user's facial expressions and voice in real time, thereby detecting the user's emotional state (e.g., stress, joy, confusion, etc.).

[1809] Step 3:

[1810] The device sends the detected emotion data to the server, where it is analyzed by the emotion engine to determine the user's current emotional state.

[1811] Step 4:

[1812] The server analyzes the data it receives (information on inheritors, asset list, emotion data) and verifies that each item has been entered in the correct format. If there are any errors, it generates an error message and notifies the user.

[1813] Step 5:

[1814] Based on the verified data and the user's emotional state, the server activates a generative AI model to generate a template will and inheritance distribution list. The interface messages and display methods are adjusted depending on the emotional state.

[1815] Step 6:

[1816] The server converts the generated will and inheritance distribution list template into JSON format and sends it to the user's device.

[1817] Step 7:

[1818] The device converts the data received from the server into an appropriate UI format and displays it to the user. The user checks the generated template.

[1819] Step 8:

[1820] The user checks the generated results and makes any necessary corrections. The corrections are then entered into the input form again and sent from the terminal to the server.

[1821] Step 9:

[1822] The server again verifies the received amendments and passes them to the generative AI model to regenerate the will and estate distribution list. This process involves repeating steps 4 to 7.

[1823] Step 10:

[1824] If the user's emotional state changes, the emotion engine analyzes the user's emotions again and notifies the server, which then adjusts the interface accordingly to optimize the user experience.

[1825] Example 2

[1826] 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."

[1827] In conventional will creation systems, users often felt stressed when entering information about heirs and asset lists, and the process was cumbersome because they had to manually allocate the inheritance appropriately based on the law. Furthermore, the interface did not adjust to the user's emotional state, resulting in a poor user experience. For these reasons, there was a need for an automated system incorporating an emotion engine that would allow users to create wills and inheritance distribution lists comfortably.

[1828] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting information about the heir, means for inputting the heir's asset list, means for transmitting the input information to the server, means for the server to verify the information received, means for passing the verified data to a generation AI model and generating a template for a will and an estate distribution list, means for transmitting the generated template for the will and estate distribution list to the user's terminal, means for the user to check and modify the generation results, means for transmitting the modified data again to the server and regenerating the modified template for the will and estate distribution list, means for analyzing the user's facial expressions and voice using the terminal's camera and microphone to detect the user's emotional state, means for transmitting the detected emotional data to the server in real time, and means for adjusting the user interface based on the emotional data. This automatically adjusts the interface appropriately according to the user's emotional state, allowing the user to comfortably and efficiently create a will and estate distribution list.

[1829] An "inheritor" is a person who has the right to receive property from the deceased.

[1830] An "asset list" is a list of the assets owned by the deceased, such as cash, real estate, and stocks.

[1831] A "terminal" is an electronic device that a user uses to input information and communicate with a server.

[1832] "Server" means a central processing unit for processing, analyzing, and generating information received from users.

[1833] A "generative AI model" is an artificial intelligence algorithm that generates legally compliant will and estate distribution list templates based on input data.

[1834] The "emotion engine" is a technology that analyzes the user's facial expressions and voice to detect their emotional state.

[1835] The "input form" is an interface that allows users to input information about the heirs and a list of assets.

[1836] "Validation" is the process of checking that entered data is in the correct format.

[1837] A "template" is a basic template for describing specific content.

[1838] "Interface adjustment" refers to adjustments that change the system display and operation method according to the user's emotional state.

[1839] An "error message" is a message that notifies the user when there is an error in input or processing.

[1840] This invention is a system that automatically generates legally compliant will and inheritance distribution list templates by allowing users to input information about heirs and a list of their assets. This system is combined with an emotion engine to adjust the interface according to the user's emotional state, improving the will creation experience.

[1841] The system uses the following hardware and software:

[1842] Hardware used:

[1843] 1. Device: An electronic device that allows users to input information. Examples include computers, tablets, and smartphones. These devices are equipped with cameras and microphones that are used to analyze the user's facial expressions and voice.

[1844] 2. Server: A central processing unit that verifies input data, generates templates using AI models, analyzes emotional data, etc.

[1845] Software used:

[1846] 1. Input form: An interface such as a web application that allows users to enter information about the heir (name, age, relationship) and a list of the individual's assets (cash, real estate, stocks, etc.).

[1847] 2. Generative AI model: An artificial intelligence algorithm that generates legally compliant will and estate distribution list templates based on data entered by the user.

[1848] 3. Emotion Engine: Software that analyzes the user's facial expressions and voice to detect their emotional state in real time. This allows it to detect stress or anxiety when the user is performing input tasks and display appropriate interfaces and support messages.

[1849] A specific example is as follows:

[1850] Consider the case where User B enters the following information as an inheritor:

[1851] Inheritance recipients:

[1852] Name: A

[1853] Age: 45

[1854] Relationship: Children

[1855] Name: B

[1856] Age: 42

[1857] Relationship: Children

[1858] Your asset list:

[1859] Cash: 5 million yen

[1860] Real estate: 100 million yen (home)

[1861] Stock: 20 million yen

[1862] User B enters this information into the input form and clicks the submit button. At this time, the device's camera and microphone analyze the user's facial expressions and voice, and the emotional state is transmitted to the server via the emotion engine. For example, if User B is feeling stressed, the server adjusts the interface to display simpler and clearer instructions and support messages to help them relax.

[1863] The server then verifies the received data and generates an error message to notify the user if there are any errors. If the user corrects the errors and resubmits the data, the server verifies the data again and passes it to the generative AI model to generate a template will and inheritance distribution list. This process is repeated until the user is satisfied.

[1864] Example prompt sentence:

[1865] "Please explain a system that generates a template will containing specific legally required inheritance distribution details based on information entered by the user (name, age, relationship, asset list), and uses an emotion engine to adapt the interface in real time."

[1866] This system allows the emotional engine to recognize the user's emotional state in real time and adaptively adjust the interface, making the creation of wills and inheritance distribution lists more comfortable and efficient.

[1867] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1868] Step 1: Enter your information

[1869] The user enters information about the heir (name, age, relationship) and a list of the person's assets (cash, real estate, stocks, etc.) into an input form. This input form is provided as a web application.

[1870] Input: Information about the heirs and a list of assets.

[1871] Output: The input data.

[1872] Specific operation: The user accesses the input form using a web browser and enters the necessary information. For example, they enter information such as "Taro Tanaka (age 45, child)" and "Cash: 5 million yen," and then confirms that the information is correct.

[1873] Step 2: Sending data

[1874] When the user has completed the input, he / she clicks the send button, which sends the data from the user's terminal to the server.

[1875] Input: Data entered.

[1876] Output: A request to the server to send data.

[1877] Specific operation: When the user clicks the send button, the terminal sends the input data to the server as an HTTP request. For example, when the "Send" button is clicked, the data is sent to the server in JSON format.

[1878] Step 3: Receiving and verifying data

[1879] The server receives the data sent from the user's terminal.

[1880] The server analyzes the received data and verifies that each item has been entered in the correct format, specifically by checking the string format and numeric range.

[1881] Input: Data sent from the terminal.

[1882] Output: Validation result (error message or success message).

[1883] Specific operation: The data analysis module on the server side analyzes the data, and if there are any errors, it generates an error message and notifies the user. For example, it displays an error message such as "The name field is empty."

[1884] Step 4: Detecting emotional state

[1885] The device uses a camera and microphone to analyze the user's facial expressions and voice while the user is typing to detect their emotional state, for example, using a facial expression analysis algorithm to detect stress or tension.

[1886] Input: Real-time data from camera and microphone.

[1887] Output: User's emotional state data.

[1888] How it works: Emotion analysis software running on the device analyzes the user's facial expressions and voice in real time to determine their emotional state. For example, the analysis result may be, "The user's voice is trembling, so they are feeling stressed."

[1889] Step 5: Sending emotion data

[1890] The device transmits the detected emotion data to the server in real time.

[1891] Input: User emotional state data.

[1892] Output: A request to send emotion data to the server.

[1893] Specific operation: The emotion analysis results are sent to the server as an HTTP request, for example, sending data such as "the user is feeling stressed."

[1894] Step 6: Adjust the interface

[1895] The server analyzes the received emotional data and adapts the interface according to the user's emotional state, specifically displaying simpler and clearer instructions when stress is detected.

[1896] Input: Emotion data.

[1897] Output: Interface adjustment request.

[1898] Specific operation: The server executes the interface adjustment algorithm according to the emotional state and sends a new interface display command to the device, such as displaying a message like "Please relax. We will display the instructions clearly."

[1899] Step 7: Generate data

[1900] The server passes the verified data to a generative AI model to generate a template for a will and inheritance distribution list.

[1901] Input: Validated data.

[1902] Output: Template for will and estate distribution list.

[1903] Specific operation: Based on the input data, the generative AI model generates legally compliant will and inheritance distribution list templates, outputting documents containing content such as "Taro Tanaka will inherit real estate worth 100 million yen."

[1904] Step 8: Sending the generated results

[1905] The server transmits the generated will and inheritance distribution list templates to the user's terminal.

[1906] Input: Generated template.

[1907] Output: Send the template to the user's terminal.

[1908] Specific operation: The server sends the generated document to the user's device as an HTTP response, allowing the user to view the document. For example, it displays a link to download the will PDF.

[1909] Step 9: Check and correct the results

[1910] The user checks the generated template of the will and inheritance distribution list and modifies it as necessary.

[1911] Input: Generated template.

[1912] Output: Corrected data.

[1913] Specific operation: The user checks the document and corrects any inappropriate parts through the input form again, for example, "check the contents of the will and change the distribution of the estate."

[1914] Step 10: Submit and regenerate corrected data

[1915] The user sends the corrected data to the server again, and the server verifies the data again and passes it to the generative AI model to regenerate the template.

[1916] Input: Correction data.

[1917] Output: The regenerated template.

[1918] Specific operation: The user submits the revised data, and the server re-verifies the data and passes it to the generative AI model to regenerate the updated will and inheritance distribution list template. For example, it performs an operation such as "regenerate the revised will and send it to the user."

[1919] As a result, users can create wills and estate distribution lists that comply with the law efficiently and without stress.

[1920] (Application example 2)

[1921] 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."

[1922] Existing systems do not take into account the user's emotional state when creating a will and estate distribution list, which can lead to mental stress. Furthermore, the user interface for creating a will is fixed, which creates usability issues. This can lead to users interrupting their work or failing to enter accurate information.

[1923] 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.

[1924] In this invention, the server includes means for inputting information about the heirs, means for inputting a list of the heirs' assets, means for transmitting the input information to the server, means for the server to verify the information received, means for passing the verified data to a generative AI model to generate a template will and estate distribution list, means for transmitting the generated template will and estate distribution list to the user's device, means for the user to check and modify the generated results, means for transmitting the modified data back to the server to regenerate the modified will and estate distribution list template, means for detecting the user's emotional state and dynamically adjusting the user interface based on the emotional state, means for using the device's microphone and camera to detect emotions, means for generating and displaying support messages in accordance with the detected emotional state, and means for providing relaxing content. This allows the user to create a will and estate distribution list comfortably and efficiently without feeling stressed.

[1925] An "heir" is a person who is the subject of inheritance and has the right to receive the estate under the will.

[1926] "List of assets of the person" refers to a list of assets such as cash, real estate, and stocks held by the person making the will.

[1927] "Server" refers to a computer system that receives data sent from a client via a network and processes, stores, and transmits it.

[1928] A "generative AI model" refers to a program or algorithm that uses artificial intelligence technology to generate a template will and estate distribution list from specific data.

[1929] A "will" is a document that legally specifies how an individual's assets should be distributed after their death.

[1930] An "estate distribution list" is a list of assets that will be specifically distributed to each heir based on the will.

[1931] "User's device" refers to an electronic device such as a computer, smartphone, or tablet that is directly operated by the user.

[1932] "Emotional state" refers to a user's current psychological and emotional state, including specific emotions such as stress, joy, and relaxation.

[1933] A "user interface" is a software component that includes elements such as a screen and input means for a user to interact with a system.

[1934] "Dynamic adjustment" refers to changing the display content and functionality of the user interface in real time according to the user's emotional state and operations.

[1935] A "support message" is a text or voice message containing advice or recommendations to help users use the system smoothly.

[1936] "Relaxing content" refers to music, videos, text messages, etc. that are provided to help users feel mentally stable and relaxed.

[1937] "Emotion detection" is the process of analyzing a user's facial expressions and voice using the device's microphone and camera to determine their current emotional state.

[1938] A specific embodiment of the present invention will be described below. The user inputs information about the heirs and a list of their assets into a terminal. The server receives this input data and verifies it. If there are any deficiencies, an error message is generated and notifies the user. Once verified, the data is passed to a generative AI model, which generates templates for a will and inheritance distribution list. During this process, an emotion engine is used to detect the user's emotional state in real time and dynamically adjust the interface.

[1939] The user's emotional state is detected using the device's camera and microphone. Video data from the camera is used to analyze facial expressions, and audio data from the microphone is used to perform audio analysis. This allows the user's emotional state, such as stress, joy, or relaxation, to be transmitted to the server in real time.

[1940] The server dynamically adjusts the interface and support messages based on emotional feedback. For example, if the user is feeling stressed, it displays simple instructions or encouraging messages. If the user is in a negative emotional state, it provides discount coupons or relaxing content.

[1941] The generated will and inheritance distribution list templates are sent to the user's device, where the user can review and modify them as necessary. The modified data is then sent back to the server, where the generative AI model regenerates the will and inheritance distribution list templates. This process can be repeated until the user is satisfied.

[1942] The hardware required is a device equipped with a user's camera and microphone. The software used is OpenCV for image processing, Keras for emotion recognition, and Vosk for voice recognition. By combining these, it is possible to accurately capture the user's emotional state.

[1943] For example, if the emotion engine detects that a user is feeling stressed while purchasing a high-value item, the system can simplify the payment process, display discount coupons, and provide a relaxing video after successful payment.

[1944] An example of a prompt is as follows:

[1945] "If you detect that a user is experiencing stress while purchasing a high-value item, please provide specific suggestions on how to adjust the checkout interface."

[1946] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1947] Step 1:

[1948] The user inputs information about the person to whom he or she will inherit and a list of the person's assets into the terminal.

[1949] input:

[1950] Information on the heir (name, age, relationship)

[1951] A list of the person's assets (cash, real estate, stocks, etc.)

[1952] output:

[1953] The information entered is saved in the form on your device.

[1954] Specific operation: The user types the required information into the input form on the terminal and then clicks the "Submit" button.

[1955] Step 2:

[1956] The terminal transmits the input information to the server.

[1957] input:

[1958] Information on heirs and asset list entered by the user

[1959] output:

[1960] Data packets sent to the server

[1961] Specific operation: Uses the device's sending function to send the input information to the server as a JSON-formatted data packet.

[1962] Step 3:

[1963] The server verifies the information received.

[1964] input:

[1965] Received information on heirs and asset list

[1966] output:

[1967] Validation result (if the format is correct, proceed to the next step; if there is an error, an error message)

[1968] Specific operation: The server checks the data format and required fields, and if the validation is successful, proceeds to the next step. If an error is detected, an error message is generated and notified to the user.

[1969] Step 4:

[1970] Once the verification is complete, the data is passed to a generative AI model to generate a template for a will and inheritance distribution list.

[1971] input:

[1972] Verified inheritance information and asset list

[1973] output:

[1974] A template will and estate distribution list created by a generative AI model

[1975] How it works: The server invokes the generative AI model, passing the validated data as input, which then generates a template will and estate distribution list based on that data.

[1976] Step 5:

[1977] The generated will and inheritance distribution list templates are sent to the user's terminal.

[1978] input:

[1979] Generated will and inheritance distribution list templates

[1980] output:

[1981] Data sent to the user's device

[1982] Specific operation: The server sends the generated document data to the user's terminal and instructs the terminal to display it.

[1983] Step 6:

[1984] The user checks and corrects the generated results.

[1985] input:

[1986] Generated will and inheritance distribution list templates

[1987] output:

[1988] Corrected data

[1989] Specific operation: The user checks the received document and edits any necessary corrections on the terminal. After editing, the user clicks the "Resend" button.

[1990] Step 7:

[1991] The modified data is sent to the server again, and the modified will and inheritance distribution list templates are regenerated.

[1992] input:

[1993] Revised inheritance information and asset list

[1994] output:

[1995] Regenerated will and estate distribution list templates

[1996] Specific operation: The server receives the retransmitted corrected data and passes it to the generative AI model again to regenerate the will and inheritance distribution list template.

[1997] Step 8:

[1998] The emotional state of a user is detected and the user interface is dynamically adjusted based on the emotional state.

[1999] input:

[2000] User's facial expression and voice data

[2001] output:

[2002] Interface adjustment and support messages according to emotional state

[2003] What it does: It uses the device's camera and microphone to capture facial expressions and voice in real time, analyzes them with an emotion detection model, and changes interface settings based on the results to display necessary support messages.

[2004] Step 9:

[2005] A support message is generated and displayed in response to the detected emotional state.

[2006] input:

[2007] Detected emotion data

[2008] output:

[2009] Displaying a support message

[2010] Specific operation: Determine the user's emotional state from the results of emotion detection, and generate and display appropriate support messages and advice.

[2011] Step 10:

[2012] Providing relaxing content.

[2013] input:

[2014] The user's emotional state

[2015] output:

[2016] Relaxing content (music, videos, etc.)

[2017] Specific operation: If the detected emotional state is negative, display content (music, videos, etc.) that will help the user relax.

[2018] 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.

[2019] 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.

[2020] 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.

[2021] 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.

[2022] 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.

[2023] 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.

[2024] 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).

[2025] 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.

[2026] 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."

[2027] 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.

[2028] 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).

[2029] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[2030] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[2031] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[2032] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[2033] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[2034] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[2035] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[2036] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[2037] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[2038] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[2039] The following is further disclosed regarding the above embodiment.

[2040] (Claim 1)

[2041] A means for inputting information on the heir;

[2042] a means for inputting a list of the principal's assets;

[2043] means for transmitting the input information to a server;

[2044] means for the server to verify the received information;

[2045] A means of passing the verified data to a generative AI model to generate a template for a will and inheritance distribution list;

[2046] means for transmitting the generated template of the will and estate distribution list to the user's terminal;

[2047] a means for the user to review and modify the generated results;

[2048] The system includes a means for transmitting the amended data to the server again and regenerating the amended will and inheritance distribution list template.

[2049] (Claim 2)

[2050] 2. The system according to claim 1, further comprising means for displaying the generated template of the will and estate distribution list on the user's terminal.

[2051] (Claim 3)

[2052] 2. The system according to claim 1, further comprising means for verifying whether data entered by a user is in the correct format, and for generating an error message to notify the user if there is any deficiency.

[2053] "Example 1"

[2054] (Claim 1)

[2055] A means for inputting information on the heir;

[2056] a means for inputting a list of the principal's assets;

[2057] means for converting input information into a data format and transmitting the data to a server;

[2058] means for converting the format of the information received by the server and validating the data;

[2059] A means for converting the validated data into prompt sentences for the generative AI model;

[2060] A means for passing prompt sentences to a generative AI model to generate a template for a will and inheritance distribution list;

[2061] means for transmitting the generated template of the will and estate distribution list to the user's terminal;

[2062] a means for the user to review and modify the generated results;

[2063] The system includes a means for sending the revised data to the server again, re-verifying it, and regenerating a revised will and inheritance distribution list template using a generative AI model.

[2064] (Claim 2)

[2065] 2. The system according to claim 1, further comprising means for displaying the generated template of the will and estate distribution list on the user's terminal.

[2066] (Claim 3)

[2067] 2. The system according to claim 1, further comprising means for verifying whether data entered by a user is in the correct format, and for generating an error message to notify the user if there is any deficiency.

[2068] "Application Example 1"

[2069] (Claim 1)

[2070] A means for inputting information on the heir;

[2071] a means for inputting a list of the principal's assets;

[2072] means for transmitting the input information to a server;

[2073] means for the server to verify the received information;

[2074] A means of passing the verified data to a generative AI model to generate a template for a will and inheritance distribution list;

[2075] means for transmitting the generated template of the will and estate distribution list to the user's terminal;

[2076] a means for the user to review and modify the generated results;

[2077] a means for transmitting the amended data to the server again and regenerating a template of the amended will and estate distribution list;

[2078] a means of inputting factory asset information;

[2079] A system including a means for generating a maintenance plan for a plant asset.

[2080] (Claim 2)

[2081] 2. The system according to claim 1, further comprising means for displaying the generated template of the will and estate distribution list on the user's terminal.

[2082] (Claim 3)

[2083] 2. The system according to claim 1, further comprising means for verifying whether data entered by a user is in the correct format, and for generating an error message to notify the user if there is any deficiency.

[2084] "Example 2: Combining Emotion Engines"

[2085] (Claim 1)

[2086] A means for inputting information on the heir;

[2087] a means for inputting a list of the principal's assets;

[2088] means for transmitting the input information to a server;

[2089] means for the server to verify the received information;

[2090] A means of passing the verified data to a generative AI model to generate a template for a will and inheritance distribution list;

[2091] means for transmitting the generated template of the will and estate distribution list to the user's terminal;

[2092] a means for the user to review and modify the generated results;

[2093] a means for transmitting the amended data to the server again and regenerating a template of the amended will and estate distribution list;

[2094] A means for analyzing a user's facial expression and voice using a camera and a microphone of the device to detect the user's emotional state;

[2095] A means for transmitting the detected emotion data to a server in real time;

[2096] A system including means for adjusting a user interface based on emotion data.

[2097] (Claim 2)

[2098] 2. The system according to claim 1, further comprising means for displaying the generated template of the will and estate distribution list on the user's terminal.

[2099] (Claim 3)

[2100] 2. The system according to claim 1, further comprising means for verifying whether data entered by a user is in the correct format, and for generating an error message to notify the user if there is any deficiency.

[2101] "Application example 2 when combining emotion engines"

[2102] (Claim 1)

[2103] A means for inputting information on the heir;

[2104] a means for inputting a list of the principal's assets;

[2105] means for transmitting the input information to a server;

[2106] means for the server to verify the received information;

[2107] A means of passing the verified data to a generative AI model to generate a template for a will and inheritance distribution list;

[2108] means for transmitting the generated template of the will and estate distribution list to the user's terminal;

[2109] a means for the user to review and modify the generated results;

[2110] a means for transmitting the amended data to the server again and regenerating a template of the amended will and estate distribution list;

[2111] means for detecting an emotional state of a user and dynamically adjusting a user interface based on the emotional state;

[2112] means for using a microphone and a camera of the device for emotion detection;

[2113] means for generating and displaying a support message in response to the detected emotional state;

[2114] A system including a means for providing relaxing content.

[2115] (Claim 2)

[2116] 2. The system according to claim 1, further comprising means for displaying the generated template of the will and estate distribution list on the user's terminal.

[2117] (Claim 3)

[2118] 2. The system according to claim 1, further comprising means for verifying whether data entered by a user is in the correct format, and for generating an error message to notify the user if there is any deficiency. [Explanation of symbols]

[2119] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for inputting information on the heir; a means for inputting a list of the principal's assets; means for transmitting the input information to a server; means for the server to verify the received information; A means of passing the verified data to a generative AI model to generate a template for a will and inheritance distribution list; means for transmitting the generated template of the will and estate distribution list to the user's terminal; a means for the user to review and modify the generated results; The system includes a means for transmitting the amended data to the server again and regenerating the amended will and inheritance distribution list template.

2. 2. The system according to claim 1, further comprising means for displaying the generated template of the will and estate distribution list on the user's terminal.

3. 2. The system according to claim 1, further comprising means for verifying whether data entered by a user is in the correct format, and for generating an error message to notify the user if there is any deficiency.

Images