system

Abstract

The system according to this embodiment aims to efficiently carry out procedures when a relative dies. [Solution] The system according to the embodiment comprises a communication unit, a selection unit, a submission unit, a management unit, a support unit, and an inheritance unit. The communication unit contacts acquaintances and relatives. The selection unit selects a funeral service provider based on the information obtained by the communication unit. The submission unit submits the death certificate and applies for a cremation permit based on the information of the funeral service provider selected by the selection unit. The management unit manages the funeral schedule and makes necessary arrangements based on the information submitted by the submission unit. The support unit supports procedures related to health insurance and pensions based on the information managed by the management unit. The inheritance unit supports procedures related to inheritance based on the information supported by the support unit.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technology, there is a problem that the procedures when a relative dies are analog and it is difficult to proceed efficiently.

[0005] The system according to the embodiment aims to efficiently proceed with the procedures when a relative dies.

Means for Solving the Problems

[0006] The system according to this embodiment comprises a communication unit, a selection unit, a submission unit, a management unit, a support unit, and an inheritance unit. The communication unit contacts acquaintances and relatives. The selection unit selects a funeral service provider based on the information obtained by the communication unit. The submission unit submits the death certificate and applies for a cremation permit based on the information of the funeral service provider selected by the selection unit. The management unit manages the funeral schedule and makes necessary arrangements based on the information submitted by the submission unit. The support unit provides support for health insurance and pension procedures based on the information managed by the management unit. The inheritance unit provides support for inheritance procedures based on the information supported by the support unit. [Effects of the Invention]

[0007] The system according to this embodiment can efficiently carry out procedures when a relative dies. [Brief explanation of the drawing]

[0008] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9]This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

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

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0013] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0014] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between a plurality of computers. Examples of communication standards applied to the communication I / F include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B". That is, "A and / or B" means that it may be only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

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

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

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

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

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

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

[0025] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

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

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

[0028] (Example of form 1) An automated procedure system according to an embodiment of the present invention is a system that automates and guides a series of procedures when a relative dies. This automated procedure system utilizes generative AI to handle tasks such as contacting acquaintances and relatives, selecting a funeral home, submitting a death certificate and applying for a cremation permit, conducting the funeral, handling health insurance and pension procedures, and inheritance procedures. For example, the automated procedure system contacts acquaintances and relatives. In this case, the generative AI automatically makes contact based on a contact list. For example, contact can be made using phone, email, or messaging apps. Next, the automated procedure system selects a funeral home. The generative AI collects information on local funeral homes and proposes the most suitable one. For example, selection can be made based on price, service content, customer reviews, etc. After that, the automated procedure system submits a death certificate and applies for a cremation permit. The generative AI automatically creates the necessary documents and supports their submission to the government office. For example, submission can be done online or by mail. When conducting the funeral, the automated procedure system uses generative AI to manage the funeral schedule and make necessary arrangements. For example, it can reserve a venue, inform attendees, and arrange for funeral flowers. The automated procedure system also supports administrative procedures such as notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and notification of change of household head on the resident register. It can guide users on how to create and submit necessary documents. For inheritance procedures, the automated procedure system's generating AI supports the search and probate of wills, investigation and confirmation of heirs, investigation of inherited assets, consideration and procedures for inheritance renunciation and limited acceptance, division of estates, and change of ownership of real estate. For example, it can guide users on how to create and submit necessary documents and arrange consultations with experts. In this way, by utilizing generating AI, the entire process and procedures when a relative dies can be automated and guided. This provides a platform that can arrange the entire process even in areas that are not usually touched or have little opportunity to interact with. As a result, the automated procedure system can carry out the entire process when a relative dies quickly and efficiently.

[0029] The automated procedure system according to this embodiment comprises a contact unit, a selection unit, a submission unit, a management unit, a support unit, and an inheritance unit. The contact unit contacts acquaintances and relatives. For example, the contact unit automatically contacts acquaintances and relatives based on a contact list. The contact unit can make contacts using, for example, telephone, email, or messaging apps. The contact unit can automatically make contacts based on a contact list using a generation AI. The selection unit selects a funeral service provider. For example, the selection unit collects information on local funeral service providers and proposes the most suitable provider. The selection unit can make selections based on, for example, price, service content, and customer reviews. The selection unit can collect information on local funeral service providers and propose the most suitable provider using a generation AI. The submission unit submits the death certificate and applies for a cremation permit. For example, the submission unit automatically creates the necessary documents and supports their submission to the government office. The submission unit can, for example, submit documents online or by mail. The submission unit can automatically create the necessary documents and support their submission to the government office using a generation AI. The Management Department manages the funeral schedule and makes necessary arrangements. For example, the Management Department can make venue reservations, send invitations to attendees, and arrange for funeral flowers. The Management Department can use generative AI to manage the funeral schedule and make necessary arrangements. The Support Department supports health insurance and pension procedures. For example, the Support Department supports administrative procedures such as notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and notifications of changes in the head of household on the resident register. The Support Department can use generative AI to support health insurance and pension procedures. The Inheritance Department supports inheritance procedures. For example, the Inheritance Department supports searching for and probating wills, investigating and confirming heirs, investigating inherited assets, considering and processing inheritance renunciation and limited acceptance, estate division, and changing the ownership of real estate. The Inheritance Department can use generative AI to support inheritance procedures. As a result, the automated procedure system according to the embodiment can quickly and efficiently perform a series of procedures when a relative dies.

[0030] The liaison department contacts acquaintances and relatives. For example, it automatically contacts acquaintances and relatives based on a contact list. Specifically, the liaison department uses a generation AI to analyze the contact list and select the appropriate contact method for each contact. For example, if a phone number is registered, it automatically makes a call; if an email address is registered, it sends an email; and if a messaging app ID is registered, it sends a message. The generation AI automatically generates the content of the message, creating it with an appropriate tone and content. For example, the content of the message may include the deceased's name, date and time of death, date and location of the funeral, and a request for attendance. Furthermore, the liaison department has a function to monitor the progress of the contact in real time and confirm whether the contact has been completed. If the contact is not completed, it can be set to try contacting again or to use a different contact method. This allows the liaison department to contact acquaintances and relatives quickly and reliably, reducing the burden on the bereaved family.

[0031] The selection department selects funeral service providers. For example, it gathers information on local funeral service providers and proposes the most suitable one. Specifically, it uses generative AI to search a database of local funeral service providers and collect information such as price, service details, and customer reviews. The generative AI analyzes this information and proposes the funeral service provider that best suits the user's needs and budget. For example, if the budget is limited, it will select a cost-effective provider, and if a specific religious ceremony is required, it will select a provider that accommodates that religion. The selection department can also provide more personalized suggestions based on the user's past selection history and evaluations. Furthermore, the selection department supports communication and contract procedures with the proposed providers, ensuring that users can proceed with funeral preparations smoothly. In this way, the selection department can quickly and efficiently select the most suitable funeral service provider for the user and proceed with funeral preparations smoothly.

[0032] The submission department handles the submission of death certificates and applications for cremation permits. For example, the submission department automatically creates necessary documents and supports their submission to government offices. Specifically, it uses a generation AI to automatically generate necessary documents such as death certificates and cremation permit applications. The generation AI creates documents accurately and quickly based on information provided by the user. For example, simply entering information such as the deceased's name, date and time of death, place of death, and cause of death will automatically generate the necessary documents. Furthermore, the submission department also has functions to support online submission and submission by mail. For online submission, the generation AI accesses the government office's online system and uploads the necessary documents. For submission by mail, the generation AI supports the process of printing the documents and mailing them to the appropriate address. In this way, the submission department allows users to quickly and efficiently complete the complex document creation and submission procedures, reducing the burden of the process.

[0033] The management department manages the funeral schedule and makes necessary arrangements. For example, the management department can reserve venues, send invitations to attendees, and arrange for funeral flowers. Specifically, it uses a generation AI to automatically create funeral schedules and make various arrangements. Based on information provided by the user, the generation AI plans the optimal schedule and reserves venues. For example, by simply entering information such as the date and location of the funeral and the number of attendees, the most suitable venue is automatically selected and the reservation is completed. Invitations to attendees are also made automatically. Based on the attendee list, the generation AI creates invitation letters and sends them by email or mail. Furthermore, funeral flower arrangements are also made automatically, and flowers according to the user's wishes are arranged. In this way, the management department can manage and arrange funeral schedules quickly and efficiently, supporting the user so that the funeral can proceed smoothly.

[0034] The support department assists with health insurance and pension procedures. For example, it supports administrative procedures such as filing notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and changes in the head of household registration. Specifically, it uses a generation AI to automatically generate necessary documents and support the process. The generation AI creates documents accurately and quickly based on information provided by the user. For example, simply entering information such as the deceased's name, date of death, and insurance number automatically generates the necessary documents. Furthermore, the support department also has functions to support online and postal submissions. For online submissions, the generation AI accesses the online systems of various government agencies and uploads the necessary documents. For postal submissions, the generation AI prints the documents and supports the process of mailing them to the appropriate address. This allows the support department to enable users to complete complex administrative procedures quickly and efficiently, reducing the burden of these procedures.

[0035] The Inheritance Department provides support for inheritance procedures. For example, it assists with searching for and probating wills, investigating and identifying heirs, investigating inherited assets, considering and handling inheritance renunciation and limited acceptance, estate division, and real estate title transfer. Specifically, it automates various inheritance procedures using a generation AI. Based on information provided by the user, the generation AI quickly and accurately carries out the necessary procedures. For example, in searching for and probating wills, it identifies where the deceased's will is stored and supports the probate process. In investigating and identifying heirs, it investigates the deceased's family structure and kinship relationships to identify the heirs. In investigating inherited assets, it investigates the deceased's financial situation and identifies the inherited assets. In considering and handling inheritance renunciation and limited acceptance, it assists heirs in considering whether to renounce or accept the inheritance with limitations and supports the necessary procedures. In estate division, it supports inheritance division discussions among heirs and facilitates estate division based on agreement. In real estate title transfer, it supports the procedures for changing the title of real estate due to inheritance. This allows the inheritance department to enable users to complete complex inheritance procedures quickly and efficiently, thereby reducing the burden of the process.

[0036] The contact department can automatically contact acquaintances and relatives based on a contact list. For example, the contact department can automatically contact acquaintances and relatives based on a contact list. The contact department can make contact using, for example, phone calls, emails, or messaging apps. The contact department can use generative AI to automatically make contact based on a contact list. This automates contacting acquaintances and relatives, enabling quick and efficient communication. The contact list includes, but is not limited to, names, phone numbers, and email addresses. Some or all of the above-described processes in the contact department may be performed using generative AI or not. For example, the contact department can input a contact list into a generative AI and automatically make contact based on the contact list.

[0037] The selection unit can collect information on local funeral service providers and propose the most suitable provider. For example, the selection unit can collect information on local funeral service providers and propose the most suitable provider. The selection unit can make selections based on factors such as price, service content, and customer reviews. The selection unit can use generative AI to collect information on local funeral service providers and propose the most suitable provider. This allows users to select an appropriate provider by collecting information on local funeral service providers and proposing the most suitable provider. The region includes, but is not limited to, cities, towns, villages, prefectures, and countries. The criteria for selecting the most suitable provider include, but is not limited to, price, service content, and reviews. Some or all of the above processing in the selection unit may be performed using generative AI or not. For example, the selection unit can input information on local funeral service providers into generative AI and propose the most suitable provider.

[0038] The submission unit can automatically create the necessary documents and support their submission to government offices. For example, the submission unit can automatically create the necessary documents and support their submission to government offices. The submission unit can, for example, handle online submissions or submissions by mail. The submission unit can use generative AI to automatically create the necessary documents and support their submission to government offices. This improves the efficiency of the process by automatically creating the necessary documents and supporting their submission to government offices. Necessary documents include, but are not limited to, death certificates and cremation permits. Some or all of the above-described processes in the submission unit may be performed using generative AI or not. For example, the submission unit can input the necessary documents into the generative AI to support document creation and submission.

[0039] The management department can manage the funeral schedule and make the necessary arrangements. For example, the management department can manage the funeral schedule and make the necessary arrangements. For example, the management department can make venue reservations, send invitations to attendees, and arrange for funeral flowers. The management department can use generative AI to manage the funeral schedule and make the necessary arrangements. This ensures that the funeral proceeds smoothly by managing the schedule and making the necessary arrangements. Necessary arrangements include, but are not limited to, venue reservations, sending invitations to attendees, and arranging for funeral flowers. Some or all of the above processes performed by the management department may be performed using generative AI or not. For example, the management department can input the funeral schedule into generative AI and manage the schedule and make arrangements.

[0040] The support department can assist with health insurance and pension procedures. For example, the support department can assist with administrative procedures such as notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and notifications of changes in the head of household on the resident register. The support department can use generative AI to assist with health insurance and pension procedures. This reduces the burden on users by assisting with health insurance and pension procedures. Health insurance and pension procedures include, but are not limited to, the return of insurance cards and suspension of pension benefits. Some or all of the above processing in the support department may be performed using generative AI or not. For example, the support department can input health insurance and pension procedures into generative AI and provide support for the procedures.

[0041] The inheritance department can support tasks such as searching for and probating wills, investigating and confirming heirs, investigating inherited assets, considering and processing inheritance renunciation and limited acceptance, estate division, and real estate title transfer. The inheritance department can support inheritance-related procedures using generating AI. This reduces the burden on users by supporting inheritance-related procedures. Searching for and probating wills includes, for example, confirming the location where the will is stored and the probate procedure. Investigating and confirming heirs includes, for example, obtaining family register transcripts and methods for confirming heirs. Investigating inherited assets includes, for example, creating an inventory of assets and methods for valuing assets. Considering and processing inheritance renunciation and limited acceptance includes, for example, how to file a petition with the family court and the necessary documents. Estate division includes, but is not limited to, the creation of an estate division agreement and the determination of the division method. Transfer of ownership of real estate includes, but is not limited to, the registration procedures and necessary documents. Some or all of the above-mentioned processes in the inheritance department may be performed using or without a generating AI. For example, the inheritance department can input inheritance procedures into a generating AI to support the process.

[0042] The contacts department can automatically adjust the update frequency of the contact list to maintain up-to-date contact information. For example, the contacts department can periodically check the contact list and automatically update it if there are any changes. For example, the contacts department can immediately reflect new contacts in the list if they are added. For example, the contacts department can automatically delete old contacts if they become invalid. This ensures that the contacts department always maintains up-to-date contact information by automatically adjusting the update frequency of the contact list. Update frequencies include, but are not limited to, daily, weekly, and monthly. Some or all of the above processes in the contacts department may be performed using or without a generating AI. For example, the contacts department can input the update frequency of the contact list into a generating AI and adjust the update frequency and maintain contact information.

[0043] The liaison department can customize the content of each message individually and select appropriate language and expressions. For example, the liaison department can select appropriate language depending on the relationship with the recipient, such as acquaintances or relatives. For example, the liaison department can use formal or casual expressions depending on the content of the message. For example, the liaison department can select appropriate expressions according to the culture and customs of the contact person. By customizing the content of each message, more appropriate communication becomes possible. Appropriate language and expressions include, but are not limited to, the use of honorifics and expressions that take emotions into consideration. Some or all of the above processing in the liaison department may be performed using a generation AI, or it may be performed without a generation AI. For example, the liaison department can input the content of the message into a generation AI and generate individually customized message content.

[0044] The communication unit can automatically select the means of communication when contacting someone. For example, the communication unit can select the most suitable means of communication according to the preferences of acquaintances or relatives. For example, the communication unit can select the appropriate means of communication according to the content of the message. For example, the communication unit can select the most effective means of communication according to the usage status of the contacts. By automatically selecting the means of communication, more appropriate communication becomes possible. Means of communication include, but are not limited to, telephone, email, and messaging apps. Some or all of the above processing in the communication unit may be performed using a generative AI, or it may be performed without a generative AI. For example, the communication unit can input the selection of the means of communication into a generative AI and select the most suitable means of communication.

[0045] The communication unit can automatically initiate group communications based on the contact list. For example, the communication unit can automatically create groups of acquaintances and relatives and send out mass communications. For example, the communication unit can select the appropriate group based on the content of the communication and send communications accordingly. For example, the communication unit can automatically adjust groups in response to updates to the contact list. This enables efficient communication by conducting group communications based on the contact list. Group communications include, but are not limited to, mass email sending and group chat creation. Some or all of the above processes in the communication unit may be performed using a generation AI, or they may not. For example, the communication unit can input the contact list into a generation AI and then initiate group communications.

[0046] The selection unit can analyze the past service history of funeral service providers and select the most suitable provider. For example, the selection unit can select a highly reliable provider based on past service history. For example, the selection unit can select a provider with a good balance of price and service content based on past service history. For example, the selection unit can select a provider that best suits the user's needs based on past service history. In this way, the most suitable provider can be selected by analyzing the past service history of funeral service providers. Past service history includes, but is not limited to, the type of service provided, ratings, and fees. Some or all of the above processing in the selection unit may be performed using or without a generative AI. For example, the selection unit can input the past service history of funeral service providers into a generative AI and select the most suitable provider.

[0047] The selection unit can compare the services offered by funeral service providers in detail and propose the best provider for the user's needs. For example, the selection unit can compare the services offered by funeral service providers in detail and propose a provider with a good balance of price and service content. For example, the selection unit can compare the services offered by funeral service providers in detail and propose a provider that best suits the user's needs. For example, the selection unit can compare the services offered by funeral service providers in detail and propose a provider with high customer reviews. In this way, by comparing the services offered by funeral service providers in detail, the selection unit can propose the best provider for the user's needs. The services offered include, but are not limited to, the type of funeral, optional services, and fees. Some or all of the above processing in the selection unit may be performed using or without a generation AI. For example, the selection unit can input the services offered by funeral service providers into a generation AI, compare them in detail, and propose the best provider.

[0048] The selection unit can analyze regional evaluations of funeral service providers and propose the most suitable provider for each region. For example, the selection unit can propose highly reliable providers based on regional evaluations. For example, the selection unit can propose providers with a good balance of price and service content based on regional evaluations. For example, the selection unit can propose providers with high customer reviews based on regional evaluations. In this way, by analyzing regional evaluations of funeral service providers, the most suitable provider for each region can be proposed. Regional evaluations include, but are not limited to, customer satisfaction, service quality, and price. Some or all of the above processing in the selection unit may be performed using or without a generation AI. For example, the selection unit can input regional evaluations of funeral service providers into a generation AI and propose the most suitable provider for each region.

[0049] The selection unit can analyze the price ranges of funeral service providers and propose providers that fit the budget. For example, the selection unit can propose providers that offer a good balance of price and service content according to the budget. For example, the selection unit can propose highly reliable providers according to the budget. For example, the selection unit can propose providers with high customer reviews according to the budget. In this way, by analyzing the price ranges of funeral service providers, it is possible to propose providers that fit the budget. Price ranges include, but are not limited to, low-priced, mid-priced, and high-priced ranges. Some or all of the above processing in the selection unit may be performed using or without a generating AI. For example, the selection unit can input the price ranges of funeral service providers into a generating AI and propose providers that fit the budget.

[0050] The submission unit can automatically optimize the format of submitted documents to improve submission efficiency. The submission unit can, for example, automatically optimize the format of submitted documents to improve submission efficiency. The submission unit can, for example, automatically optimize the format of submitted documents to improve submission efficiency. The submission unit can, for example, automatically optimize the format of submitted documents to improve submission efficiency. This improves submission efficiency by automatically optimizing the format of submitted documents. The format of submitted documents includes, but is not limited to, formatting, fields, and instructions for completion. Some or all of the above processing in the submission unit may be performed using a generation AI, or not. For example, the submission unit can input the format of the submitted document into a generation AI and generate an optimized format.

[0051] The submission unit can automatically check the contents of submitted documents and correct errors in advance. For example, the submission unit can automatically check the contents of submitted documents and correct errors in advance. This improves the accuracy of submissions by automatically checking the contents of submitted documents and correcting errors in advance. Methods for correcting errors in advance include, but are not limited to, grammar checks and data integrity checks. Some or all of the above processing in the submission unit may be performed using a generative AI, or not. For example, the submission unit can input the contents of the submitted documents into a generative AI to check and correct errors.

[0052] The submission unit can automatically select the destination for submitted documents and propose the optimal submission method. For example, the submission unit can automatically select the destination for submitted documents and propose the optimal submission method. The submission unit can automatically select the destination for submitted documents and propose the optimal submission method. The submission unit can automatically select the destination for submitted documents and propose the optimal submission method. This allows the system to propose the optimal submission method by automatically selecting the destination for submitted documents. The destination includes, but is not limited to, the location of a government office or the relevant department. Some or all of the above processing in the submission unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the submission unit can input the destination for submitted documents into a generation AI and propose the optimal submission method.

[0053] The submission unit can track the progress of submitted documents in real time and notify the user. The submission unit can, for example, track the progress of submitted documents in real time and notify the user. The submission unit can, for example, track the progress of submitted documents in real time and notify the user. The submission unit can, for example, track the progress of submitted documents in real time and notify the user. This allows the user to always be aware of the latest information by tracking the progress of submitted documents in real time. Methods for tracking progress include, but are not limited to, status updates and notification methods. Some or all of the above processing in the submission unit may be performed using or without a generative AI. For example, the submission unit can input the progress of submitted documents into a generative AI, track it in real time, and notify the user.

[0054] The management department can automatically optimize the funeral schedule and support its efficient progress. For example, the management department can automatically optimize the funeral schedule and adjust the timing of each event. For example, the management department can propose an optimal schedule considering the convenience of attendees. For example, the management department can automatically make the necessary arrangements for the funeral to proceed smoothly. This enables efficient progress by automatically optimizing the funeral schedule. Schedule optimization includes, but is not limited to, the use of algorithms and setting priorities. Some or all of the above processes in the management department may be performed using generative AI or not. For example, the management department can input the funeral schedule into generative AI and generate an optimized schedule.

[0055] The management department can manage the funeral arrangements in detail and automate the necessary arrangements. For example, the management department can manage the funeral arrangements in detail and automate the necessary arrangements. For example, the management department can automate the necessary arrangements such as ordering funeral flowers and booking the venue. For example, the management department can automate the arrangements such as informing attendees and arranging transportation. This allows for efficient arrangement of necessary items by managing the funeral arrangements in detail. Arrangements include, but are not limited to, booking the venue, informing attendees, and ordering funeral flowers. Some or all of the above processes in the management department may be performed using a generation AI, or they may not be performed using a generation AI. For example, the management department can input the funeral arrangements into a generation AI, manage them in detail, and automate the necessary arrangements.

[0056] The management department can adjust the funeral schedule to suit the attendees' convenience. For example, the management department can propose the optimal schedule considering the attendees' availability. For example, the management department can adjust the schedule to suit the attendees' work and family commitments. For example, the management department can adjust the schedule to take into account the attendees' travel time. By adjusting the schedule to suit the attendees' convenience, more attendees can participate. Methods for confirming attendees' availability include, but are not limited to, questionnaires and scheduling tools. Some or all of the above processes in the management department may be performed using or without generational AI. For example, the management department can input attendees' availability into generational AI and adjust the schedule.

[0057] The management department can customize funeral arrangements according to the wishes of the attendees. For example, the management department can customize the type and quantity of floral tributes according to the attendees' wishes. For example, the management department can customize the layout of the venue according to the attendees' wishes. For example, the management department can customize transportation arrangements according to the attendees' wishes. By customizing the arrangements according to the attendees' wishes, a more satisfying funeral can be achieved. Customization of arrangements includes, but is not limited to, the selection of optional services and the incorporation of special requests. Some or all of the above processes in the management department may be performed using or without the use of a generation AI. For example, the management department can input the attendees' wishes into a generation AI and customize the arrangements.

[0058] The support unit can automatically optimize health insurance and pension procedures, supporting efficient processing. For example, the support unit can automatically optimize health insurance and pension procedures, supporting efficient processing. For example, the support unit can automatically create necessary documents and guide users on how to submit them. For example, the support unit can track the progress of procedures in real time and notify users. This enables efficient processing by automatically optimizing health insurance and pension procedures. Methods for automatically optimizing procedures include, but are not limited to, the use of algorithms and setting priorities. Some or all of the above processing in the support unit may be performed using generative AI, or not. For example, the support unit can input health insurance and pension procedures into generative AI and generate optimized procedures.

[0059] The support department can automatically create the necessary documents for the procedure and guide users on how to submit them. For example, the support department can automatically create the necessary documents and guide users on how to submit them. For example, the support department can automatically optimize the document format to improve the efficiency of submission. For example, the support department can automatically check the content of submitted documents and correct errors in advance. This improves the efficiency of submission by automatically creating the necessary documents for the procedure. Necessary documents include, but are not limited to, application forms, certificates, and consent forms. Some or all of the above processes in the support department may be performed using or without a generation AI. For example, the support department can input the necessary documents for the procedure into a generation AI and then create the documents and guide users on how to submit them.

[0060] The support department can optimize health insurance and pension procedures by region and support procedures specific to each region. For example, the support department can optimize procedures by region and support efficient procedures. For example, the support department can automatically create the necessary documents for procedures specific to each region and guide users on how to submit them. For example, the support department can track the progress of procedures specific to each region in real time and notify users. This makes procedures more efficient by optimizing health insurance and pension procedures by region. Methods of regional optimization include, but are not limited to, taking into account differences in regulations and procedures specific to each region. Some or all of the above processing in the support department may be performed using or without generative AI. For example, the support department can input health insurance and pension procedures into generative AI and generate procedures optimized for each region.

[0061] The support unit can track the progress of the procedure in real time and notify the user. The support unit can, for example, track the progress of the procedure in real time and notify the user. The support unit can, for example, track the progress of the procedure in real time and notify the user. The support unit can, for example, track the progress of the procedure in real time and notify the user. This allows the user to always be aware of the latest information by tracking the progress of the procedure in real time. Methods for tracking progress include, but are not limited to, status updates and notification methods. Some or all of the above processing in the support unit may be performed using a generative AI or not. For example, the support unit can input the progress of the procedure into a generative AI, track it in real time, and notify the user.

[0062] The inheritance department can automate a detailed investigation of inherited assets and streamline inheritance procedures. For example, the inheritance department can automate a detailed investigation of inherited assets and streamline inheritance procedures. The inheritance department can automate a detailed investigation of inherited assets and streamline inheritance procedures. The inheritance department can automate a detailed investigation of inherited assets and streamline inheritance procedures. This streamlines inheritance procedures by automating a detailed investigation of inherited assets. A detailed investigation of inherited assets includes, but is not limited to, the creation of an inventory of assets and methods for valuing assets. Some or all of the above-described processes in the inheritance department may be performed using a generation AI, or not. For example, the inheritance department can input a detailed investigation of inherited assets into a generation AI and streamline inheritance procedures based on the investigation results.

[0063] The inheritance department can automatically create the documents required for inheritance procedures and provide guidance on how to submit them. For example, the inheritance department can automatically create the documents required for inheritance procedures and provide guidance on how to submit them. For example, the inheritance department can automatically optimize the format of documents to improve the efficiency of submission. For example, the inheritance department can automatically check the content of submitted documents and correct errors in advance. This improves the efficiency of submission by automatically creating the documents required for inheritance procedures. Required documents include, but are not limited to, application forms, certificates, and consent forms. Some or all of the above processes in the inheritance department may be performed using a generation AI, or not. For example, the inheritance department can input the documents required for inheritance procedures into a generation AI and provide guidance on how to create and submit the documents.

[0064] The inheritance department can optimize inheritance procedures by region and support procedures specific to each region. For example, the inheritance department can optimize procedures by region and support efficient procedures. For example, the inheritance department can automatically create the necessary documents for procedures specific to each region and guide the heirs on how to submit them. For example, the inheritance department can track the progress of procedures specific to each region in real time and notify the heirs. This makes procedures more efficient by optimizing inheritance procedures by region. Methods of regional optimization include, but are not limited to, taking into account differences in regulations and procedures specific to each region. Some or all of the above processes in the inheritance department may be performed using or without generative AI. For example, the inheritance department can input inheritance procedures into generative AI and generate procedures optimized for each region.

[0065] The inheritance department can track the progress of inheritance procedures in real time and notify the heirs. For example, the inheritance department can track the progress of inheritance procedures in real time and notify the heirs. This ensures that heirs are always up-to-date by tracking the progress of inheritance procedures in real time. Methods for tracking progress include, but are not limited to, status updates and notification methods. Some or all of the above processes in the inheritance department may be performed using or without a generating AI. For example, the inheritance department can input the progress of inheritance procedures into a generating AI, track it in real time, and notify the heirs.

[0066] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0067] The automated procedure system further includes a notification unit. The notification unit can notify the user of the progress of the procedure and important deadlines. For example, the notification unit can track the progress of the procedure in real time and notify the user via email or messaging app. The notification unit can also send reminders when important deadlines are approaching. This allows the user to always be aware of the progress of the procedure and proceed with the procedure without missing important deadlines. Some or all of the above processing in the notification unit may be performed using or without a generative AI. For example, the notification unit can input the progress of the procedure into a generative AI, track it in real time, and notify the user.

[0068] The automated procedure system further includes an analysis unit. The analysis unit can analyze past procedure data and propose the optimal procedure method. For example, based on past procedure data, the analysis unit can propose the most efficient sequence and method of procedures. The analysis unit can also analyze the user's procedure history and propose individually optimized procedure methods. This allows the user to utilize the optimal procedure method based on past data, improving the efficiency of procedures. Some or all of the above processing in the analysis unit may be performed using a generation AI, or not. For example, the analysis unit can input past procedure data into a generation AI and propose the optimal procedure method.

[0069] The automated procedural system also includes a translation unit. This unit can translate necessary documents and communications into multiple languages. For example, if a user speaks a foreign language, the unit can automatically translate the required documents. The unit can also translate communications into multiple languages, allowing for communication with acquaintances and relatives in the appropriate language. This enables procedures to proceed across language barriers, facilitating smooth international processes. Some or all of the above-described processes in the translation unit may be performed using or without a generative AI. For example, the translation unit can input necessary documents into a generative AI and translate them into multiple languages.

[0070] The automated procedure system also includes a backup unit. The backup unit can periodically back up data related to procedures, preventing data loss. For example, the backup unit periodically saves data on the progress of procedures and submitted documents to cloud storage. The backup unit can also restore data using backup data in the event of data loss or corruption. This ensures the security of data related to procedures and allows for handling of any unforeseen problems. Some or all of the above-described processes in the backup unit may be performed using a generation AI, or they may not. For example, the backup unit can input procedure data into a generation AI and perform periodic backups.

[0071] The automated procedure system further includes a security unit. The security unit provides functions to ensure the security of procedure data. For example, the security unit encrypts data to protect it from unauthorized access. The security unit can also enhance user authentication and restrict access to procedure data. This improves the security of procedure data and protects user privacy. Some or all of the above processes in the security unit may be performed using or without a generative AI. For example, the security unit can input procedure data into a generative AI to perform encryption and user authentication.

[0072] The following briefly describes the processing flow for example form 1.

[0073] Step 1: The contact department contacts acquaintances and relatives. The contact department can, for example, automatically contact acquaintances and relatives based on a contact list. The contact department can, for example, make contacts using phone calls, emails, or messaging apps. The contact department can use a generation AI to automatically make contacts based on a contact list. Step 2: The selection unit selects a funeral service provider. The selection unit, for example, collects information on local funeral service providers and proposes the most suitable provider. The selection unit can make selections based on factors such as price, services offered, and customer reviews. The selection unit can use generative AI to collect information on local funeral service providers and propose the most suitable provider. Step 3: The submission unit handles the submission of the death certificate and the application for cremation permit. The submission unit automatically generates the necessary documents and supports their submission to the government office. The submission unit can, for example, submit documents online or by mail. The submission unit can use generation AI to automatically generate the necessary documents and support their submission to the government office. Step 4: The management department manages the funeral schedule and makes necessary arrangements. For example, the management department can make venue reservations, send invitations to attendees, and arrange for funeral flowers. The management department can use generative AI to manage the funeral schedule and make necessary arrangements. Step 5: The support department assists with health insurance and pension procedures. The support department assists with administrative procedures such as filing notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and notification of change of head of household on the resident register. The support department can use AI generation to assist with health insurance and pension procedures. Step 6: The Inheritance Department provides support for inheritance procedures. For example, the Inheritance Department assists with finding and probating wills, investigating and identifying heirs, investigating inherited assets, considering and processing inheritance renunciation and limited acceptance, estate division, and real estate title transfer. The Inheritance Department can also support inheritance procedures using AI generation.

[0074] (Example of form 2) An automated procedure system according to an embodiment of the present invention is a system that automates and guides a series of procedures when a relative dies. This automated procedure system utilizes generative AI to handle tasks such as contacting acquaintances and relatives, selecting a funeral home, submitting a death certificate and applying for a cremation permit, conducting the funeral, handling health insurance and pension procedures, and inheritance procedures. For example, the automated procedure system contacts acquaintances and relatives. In this case, the generative AI automatically makes contact based on a contact list. For example, contact can be made using phone, email, or messaging apps. Next, the automated procedure system selects a funeral home. The generative AI collects information on local funeral homes and proposes the most suitable one. For example, selection can be made based on price, service content, customer reviews, etc. After that, the automated procedure system submits a death certificate and applies for a cremation permit. The generative AI automatically creates the necessary documents and supports their submission to the government office. For example, submission can be done online or by mail. When conducting the funeral, the automated procedure system uses generative AI to manage the funeral schedule and make necessary arrangements. For example, it can reserve a venue, inform attendees, and arrange for funeral flowers. The automated procedure system also supports administrative procedures such as notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and notification of change of household head on the resident register. It can guide users on how to create and submit necessary documents. For inheritance procedures, the automated procedure system's generating AI supports the search and probate of wills, investigation and confirmation of heirs, investigation of inherited assets, consideration and procedures for inheritance renunciation and limited acceptance, division of estates, and change of ownership of real estate. For example, it can guide users on how to create and submit necessary documents and arrange consultations with experts. In this way, by utilizing generating AI, the entire process and procedures when a relative dies can be automated and guided. This provides a platform that can arrange the entire process even in areas that are not usually touched or have little opportunity to interact with. As a result, the automated procedure system can carry out the entire process when a relative dies quickly and efficiently.

[0075] The automated procedure system according to this embodiment comprises a contact unit, a selection unit, a submission unit, a management unit, a support unit, and an inheritance unit. The contact unit contacts acquaintances and relatives. For example, the contact unit automatically contacts acquaintances and relatives based on a contact list. The contact unit can make contacts using, for example, telephone, email, or messaging apps. The contact unit can automatically make contacts based on a contact list using a generation AI. The selection unit selects a funeral service provider. For example, the selection unit collects information on local funeral service providers and proposes the most suitable provider. The selection unit can make selections based on, for example, price, service content, and customer reviews. The selection unit can collect information on local funeral service providers and propose the most suitable provider using a generation AI. The submission unit submits the death certificate and applies for a cremation permit. For example, the submission unit automatically creates the necessary documents and supports their submission to the government office. The submission unit can, for example, submit documents online or by mail. The submission unit can automatically create the necessary documents and support their submission to the government office using a generation AI. The Management Department manages the funeral schedule and makes necessary arrangements. For example, the Management Department can make venue reservations, send invitations to attendees, and arrange for funeral flowers. The Management Department can use generative AI to manage the funeral schedule and make necessary arrangements. The Support Department supports health insurance and pension procedures. For example, the Support Department supports administrative procedures such as notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and notifications of changes in the head of household on the resident register. The Support Department can use generative AI to support health insurance and pension procedures. The Inheritance Department supports inheritance procedures. For example, the Inheritance Department supports searching for and probating wills, investigating and confirming heirs, investigating inherited assets, considering and processing inheritance renunciation and limited acceptance, estate division, and changing the ownership of real estate. The Inheritance Department can use generative AI to support inheritance procedures. As a result, the automated procedure system according to the embodiment can quickly and efficiently perform a series of procedures when a relative dies.

[0076] The liaison department contacts acquaintances and relatives. For example, it automatically contacts acquaintances and relatives based on a contact list. Specifically, the liaison department uses a generation AI to analyze the contact list and select the appropriate contact method for each contact. For example, if a phone number is registered, it automatically makes a call; if an email address is registered, it sends an email; and if a messaging app ID is registered, it sends a message. The generation AI automatically generates the content of the message, creating it with an appropriate tone and content. For example, the content of the message may include the deceased's name, date and time of death, date and location of the funeral, and a request for attendance. Furthermore, the liaison department has a function to monitor the progress of the contact in real time and confirm whether the contact has been completed. If the contact is not completed, it can be set to try contacting again or to use a different contact method. This allows the liaison department to contact acquaintances and relatives quickly and reliably, reducing the burden on the bereaved family.

[0077] The selection department selects funeral service providers. For example, it gathers information on local funeral service providers and proposes the most suitable one. Specifically, it uses generative AI to search a database of local funeral service providers and collect information such as price, service details, and customer reviews. The generative AI analyzes this information and proposes the funeral service provider that best suits the user's needs and budget. For example, if the budget is limited, it will select a cost-effective provider, and if a specific religious ceremony is required, it will select a provider that accommodates that religion. The selection department can also provide more personalized suggestions based on the user's past selection history and evaluations. Furthermore, the selection department supports communication and contract procedures with the proposed providers, ensuring that users can proceed with funeral preparations smoothly. In this way, the selection department can quickly and efficiently select the most suitable funeral service provider for the user and proceed with funeral preparations smoothly.

[0078] The submission department handles the submission of death certificates and applications for cremation permits. For example, the submission department automatically creates necessary documents and supports their submission to government offices. Specifically, it uses a generation AI to automatically generate necessary documents such as death certificates and cremation permit applications. The generation AI creates documents accurately and quickly based on information provided by the user. For example, simply entering information such as the deceased's name, date and time of death, place of death, and cause of death will automatically generate the necessary documents. Furthermore, the submission department also has functions to support online submission and submission by mail. For online submission, the generation AI accesses the government office's online system and uploads the necessary documents. For submission by mail, the generation AI supports the process of printing the documents and mailing them to the appropriate address. In this way, the submission department allows users to quickly and efficiently complete the complex document creation and submission procedures, reducing the burden of the process.

[0079] The management department manages the funeral schedule and makes necessary arrangements. For example, the management department can reserve venues, send invitations to attendees, and arrange for funeral flowers. Specifically, it uses a generation AI to automatically create funeral schedules and make various arrangements. Based on information provided by the user, the generation AI plans the optimal schedule and reserves venues. For example, by simply entering information such as the date and location of the funeral and the number of attendees, the most suitable venue is automatically selected and the reservation is completed. Invitations to attendees are also made automatically. Based on the attendee list, the generation AI creates invitation letters and sends them by email or mail. Furthermore, funeral flower arrangements are also made automatically, and flowers according to the user's wishes are arranged. In this way, the management department can manage and arrange funeral schedules quickly and efficiently, supporting the user so that the funeral can proceed smoothly.

[0080] The support department assists with health insurance and pension procedures. For example, it supports administrative procedures such as filing notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and changes in the head of household registration. Specifically, it uses a generation AI to automatically generate necessary documents and support the process. The generation AI creates documents accurately and quickly based on information provided by the user. For example, simply entering information such as the deceased's name, date of death, and insurance number automatically generates the necessary documents. Furthermore, the support department also has functions to support online and postal submissions. For online submissions, the generation AI accesses the online systems of various government agencies and uploads the necessary documents. For postal submissions, the generation AI prints the documents and supports the process of mailing them to the appropriate address. This allows the support department to enable users to complete complex administrative procedures quickly and efficiently, reducing the burden of these procedures.

[0081] The Inheritance Department provides support for inheritance procedures. For example, it assists with searching for and probating wills, investigating and identifying heirs, investigating inherited assets, considering and handling inheritance renunciation and limited acceptance, estate division, and real estate title transfer. Specifically, it automates various inheritance procedures using a generation AI. Based on information provided by the user, the generation AI quickly and accurately carries out the necessary procedures. For example, in searching for and probating wills, it identifies where the deceased's will is stored and supports the probate process. In investigating and identifying heirs, it investigates the deceased's family structure and kinship relationships to identify the heirs. In investigating inherited assets, it investigates the deceased's financial situation and identifies the inherited assets. In considering and handling inheritance renunciation and limited acceptance, it assists heirs in considering whether to renounce or accept the inheritance with limitations and supports the necessary procedures. In estate division, it supports inheritance division discussions among heirs and facilitates estate division based on agreement. In real estate title transfer, it supports the procedures for changing the title of real estate due to inheritance. This allows the inheritance department to enable users to complete complex inheritance procedures quickly and efficiently, thereby reducing the burden of the process.

[0082] The contact department can automatically contact acquaintances and relatives based on a contact list. For example, the contact department can automatically contact acquaintances and relatives based on a contact list. The contact department can make contact using, for example, phone calls, emails, or messaging apps. The contact department can use generative AI to automatically make contact based on a contact list. This automates contacting acquaintances and relatives, enabling quick and efficient communication. The contact list includes, but is not limited to, names, phone numbers, and email addresses. Some or all of the above-described processes in the contact department may be performed using generative AI or not. For example, the contact department can input a contact list into a generative AI and automatically make contact based on the contact list.

[0083] The selection unit can collect information on local funeral service providers and propose the most suitable provider. For example, the selection unit can collect information on local funeral service providers and propose the most suitable provider. The selection unit can make selections based on factors such as price, service content, and customer reviews. The selection unit can use generative AI to collect information on local funeral service providers and propose the most suitable provider. This allows users to select an appropriate provider by collecting information on local funeral service providers and proposing the most suitable provider. The region includes, but is not limited to, cities, towns, villages, prefectures, and countries. The criteria for selecting the most suitable provider include, but is not limited to, price, service content, and reviews. Some or all of the above processing in the selection unit may be performed using generative AI or not. For example, the selection unit can input information on local funeral service providers into generative AI and propose the most suitable provider.

[0084] The submission unit can automatically create the necessary documents and support their submission to government offices. For example, the submission unit can automatically create the necessary documents and support their submission to government offices. The submission unit can, for example, handle online submissions or submissions by mail. The submission unit can use generative AI to automatically create the necessary documents and support their submission to government offices. This improves the efficiency of the process by automatically creating the necessary documents and supporting their submission to government offices. Necessary documents include, but are not limited to, death certificates and cremation permits. Some or all of the above-described processes in the submission unit may be performed using generative AI or not. For example, the submission unit can input the necessary documents into the generative AI to support document creation and submission.

[0085] The management department can manage the funeral schedule and make the necessary arrangements. For example, the management department can manage the funeral schedule and make the necessary arrangements. For example, the management department can make venue reservations, send invitations to attendees, and arrange for funeral flowers. The management department can use generative AI to manage the funeral schedule and make the necessary arrangements. This ensures that the funeral proceeds smoothly by managing the schedule and making the necessary arrangements. Necessary arrangements include, but are not limited to, venue reservations, sending invitations to attendees, and arranging for funeral flowers. Some or all of the above processes performed by the management department may be performed using generative AI or not. For example, the management department can input the funeral schedule into generative AI and manage the schedule and make arrangements.

[0086] The support department can assist with health insurance and pension procedures. For example, the support department can assist with administrative procedures such as notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and notifications of changes in the head of household on the resident register. The support department can use generative AI to assist with health insurance and pension procedures. This reduces the burden on users by assisting with health insurance and pension procedures. Health insurance and pension procedures include, but are not limited to, the return of insurance cards and suspension of pension benefits. Some or all of the above processing in the support department may be performed using generative AI or not. For example, the support department can input health insurance and pension procedures into generative AI and provide support for the procedures.

[0087] The inheritance department can support tasks such as searching for and probating wills, investigating and confirming heirs, investigating inherited assets, considering and processing inheritance renunciation and limited acceptance, estate division, and real estate title transfer. The inheritance department can support inheritance-related procedures using generating AI. This reduces the burden on users by supporting inheritance-related procedures. Searching for and probating wills includes, for example, confirming the location where the will is stored and the probate procedure. Investigating and confirming heirs includes, for example, obtaining family register transcripts and methods for confirming heirs. Investigating inherited assets includes, for example, creating an inventory of assets and methods for valuing assets. Considering and processing inheritance renunciation and limited acceptance includes, for example, how to file a petition with the family court and the necessary documents. Estate division includes, but is not limited to, the creation of an estate division agreement and the determination of the division method. Transfer of ownership of real estate includes, but is not limited to, the registration procedures and necessary documents. Some or all of the above-mentioned processes in the inheritance department may be performed using or without a generating AI. For example, the inheritance department can input inheritance procedures into a generating AI to support the process.

[0088] The communication unit can estimate the emotions of acquaintances and relatives and adjust the timing of communication based on the estimated emotions. For example, if an acquaintance or relative is sad, the communication unit may delay communication slightly to allow their emotions to subside. If an acquaintance or relative is busy, the communication unit may time communication to coincide with their workday. If an acquaintance or relative is relaxed, the communication unit may contact them immediately. This allows for more appropriate communication by adjusting the timing of communication according to the emotions of acquaintances and relatives. Emotion estimation is achieved using an emotion estimation function, for example, with an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the communication unit may be performed using generative AI or not. For example, the communication unit can input emotion data of acquaintances and relatives into a generative AI to estimate emotions and adjust the timing of communication.

[0089] The contacts department can automatically adjust the update frequency of the contact list to maintain up-to-date contact information. For example, the contacts department can periodically check the contact list and automatically update it if there are any changes. For example, the contacts department can immediately reflect new contacts in the list if they are added. For example, the contacts department can automatically delete old contacts if they become invalid. This ensures that the contacts department always maintains up-to-date contact information by automatically adjusting the update frequency of the contact list. Update frequencies include, but are not limited to, daily, weekly, and monthly. Some or all of the above processes in the contacts department may be performed using or without a generating AI. For example, the contacts department can input the update frequency of the contact list into a generating AI and adjust the update frequency and maintain contact information.

[0090] The liaison department can customize the content of each message individually and select appropriate language and expressions. For example, the liaison department can select appropriate language depending on the relationship with the recipient, such as acquaintances or relatives. For example, the liaison department can use formal or casual expressions depending on the content of the message. For example, the liaison department can select appropriate expressions according to the culture and customs of the contact person. By customizing the content of each message, more appropriate communication becomes possible. Appropriate language and expressions include, but are not limited to, the use of honorifics and expressions that take emotions into consideration. Some or all of the above processing in the liaison department may be performed using a generation AI, or it may be performed without a generation AI. For example, the liaison department can input the content of the message into a generation AI and generate individually customized message content.

[0091] The communication unit can estimate the emotions of acquaintances and relatives and determine the priority of communication based on the estimated emotions. For example, if an acquaintance or relative is very sad, the communication unit will contact them with the highest priority. For example, if an acquaintance or relative is busy, the communication unit will lower the priority and contact them later. For example, if an acquaintance or relative is relaxed, the communication unit will contact them with the normal priority. This allows for more appropriate communication by determining the priority of communication according to the emotions of acquaintances and relatives. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the communication unit may be performed using generative AI or not. For example, the communication unit can input emotion data of acquaintances and relatives into a generative AI to estimate emotions and determine the priority of communication.

[0092] The communication unit can automatically select the means of communication when contacting someone. For example, the communication unit can select the most suitable means of communication according to the preferences of acquaintances or relatives. For example, the communication unit can select the appropriate means of communication according to the content of the message. For example, the communication unit can select the most effective means of communication according to the usage status of the contacts. By automatically selecting the means of communication, more appropriate communication becomes possible. Means of communication include, but are not limited to, telephone, email, and messaging apps. Some or all of the above processing in the communication unit may be performed using a generative AI, or it may be performed without a generative AI. For example, the communication unit can input the selection of the means of communication into a generative AI and select the most suitable means of communication.

[0093] The communication unit can automatically initiate group communications based on the contact list. For example, the communication unit can automatically create groups of acquaintances and relatives and send out mass communications. For example, the communication unit can select the appropriate group based on the content of the communication and send communications accordingly. For example, the communication unit can automatically adjust groups in response to updates to the contact list. This enables efficient communication by conducting group communications based on the contact list. Group communications include, but are not limited to, mass email sending and group chat creation. Some or all of the above processes in the communication unit may be performed using a generation AI, or they may not. For example, the communication unit can input the contact list into a generation AI and then initiate group communications.

[0094] The selection unit can estimate the emotions of the funeral home representative and adjust the timing of negotiations based on the estimated emotions. For example, if the funeral home representative is busy, the selection unit will postpone the negotiations. For example, if the funeral home representative is relaxed, the selection unit will negotiate immediately. For example, if the funeral home representative is stressed, the selection unit will delay the negotiations slightly. This allows for more appropriate negotiations by adjusting the timing of negotiations according to the emotions of the funeral home representative. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the selection unit may be performed using generative AI or not. For example, the selection unit can input emotion data of the funeral home representative into a generative AI to estimate emotions and adjust the timing of negotiations.

[0095] The selection unit can analyze the past service history of funeral service providers and select the most suitable provider. For example, the selection unit can select a highly reliable provider based on past service history. For example, the selection unit can select a provider with a good balance of price and service content based on past service history. For example, the selection unit can select a provider that best suits the user's needs based on past service history. In this way, the most suitable provider can be selected by analyzing the past service history of funeral service providers. Past service history includes, but is not limited to, the type of service provided, ratings, and fees. Some or all of the above processing in the selection unit may be performed using or without a generative AI. For example, the selection unit can input the past service history of funeral service providers into a generative AI and select the most suitable provider.

[0096] The selection unit can compare the services offered by funeral service providers in detail and propose the best provider for the user's needs. For example, the selection unit can compare the services offered by funeral service providers in detail and propose a provider with a good balance of price and service content. For example, the selection unit can compare the services offered by funeral service providers in detail and propose a provider that best suits the user's needs. For example, the selection unit can compare the services offered by funeral service providers in detail and propose a provider with high customer reviews. In this way, by comparing the services offered by funeral service providers in detail, the selection unit can propose the best provider for the user's needs. The services offered include, but are not limited to, the type of funeral, optional services, and fees. Some or all of the above processing in the selection unit may be performed using or without a generation AI. For example, the selection unit can input the services offered by funeral service providers into a generation AI, compare them in detail, and propose the best provider.

[0097] The selection unit can estimate the emotions of the funeral home representative and adjust the proposal content based on the estimated emotions. For example, if the funeral home representative is relaxed, the selection unit will provide detailed proposal content. For example, if the funeral home representative is busy, the selection unit will provide concise proposal content. For example, if the funeral home representative is stressed, the selection unit will provide flexible proposal content. This allows for more appropriate proposals by adjusting the proposal content according to the emotions of the funeral home representative. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the selection unit may be performed using generative AI or not. For example, the selection unit can input the emotional data of the funeral home representative into a generative AI to estimate emotions and adjust the proposal content.

[0098] The selection unit can analyze regional evaluations of funeral service providers and propose the most suitable provider for each region. For example, the selection unit can propose highly reliable providers based on regional evaluations. For example, the selection unit can propose providers with a good balance of price and service content based on regional evaluations. For example, the selection unit can propose providers with high customer reviews based on regional evaluations. In this way, by analyzing regional evaluations of funeral service providers, the most suitable provider for each region can be proposed. Regional evaluations include, but are not limited to, customer satisfaction, service quality, and price. Some or all of the above processing in the selection unit may be performed using or without a generation AI. For example, the selection unit can input regional evaluations of funeral service providers into a generation AI and propose the most suitable provider for each region.

[0099] The selection unit can analyze the price ranges of funeral service providers and propose providers that fit the budget. For example, the selection unit can propose providers that offer a good balance of price and service content according to the budget. For example, the selection unit can propose highly reliable providers according to the budget. For example, the selection unit can propose providers with high customer reviews according to the budget. In this way, by analyzing the price ranges of funeral service providers, it is possible to propose providers that fit the budget. Price ranges include, but are not limited to, low-priced, mid-priced, and high-priced ranges. Some or all of the above processing in the selection unit may be performed using or without a generating AI. For example, the selection unit can input the price ranges of funeral service providers into a generating AI and propose providers that fit the budget.

[0100] The submission unit can estimate the emotions of the government official and adjust the timing of submission based on the estimated emotions. For example, if the official is busy, the submission unit will postpone the submission. For example, if the official is relaxed, the submission unit will submit immediately. For example, if the official is stressed, the submission unit will slightly delay the submission. This allows for more appropriate submissions by adjusting the timing of submission according to the emotions of the official. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the submission unit may be performed using generative AI or not. For example, the submission unit can input the emotions of the government official into a generative AI to estimate emotions and adjust the timing of submission.

[0101] The submission unit can automatically optimize the format of submitted documents to improve submission efficiency. The submission unit can, for example, automatically optimize the format of submitted documents to improve submission efficiency. The submission unit can, for example, automatically optimize the format of submitted documents to improve submission efficiency. The submission unit can, for example, automatically optimize the format of submitted documents to improve submission efficiency. This improves submission efficiency by automatically optimizing the format of submitted documents. The format of submitted documents includes, but is not limited to, formatting, fields, and instructions for completion. Some or all of the above processing in the submission unit may be performed using a generation AI, or not. For example, the submission unit can input the format of the submitted document into a generation AI and generate an optimized format.

[0102] The submission unit can automatically check the contents of submitted documents and correct errors in advance. For example, the submission unit can automatically check the contents of submitted documents and correct errors in advance. This improves the accuracy of submissions by automatically checking the contents of submitted documents and correcting errors in advance. Methods for correcting errors in advance include, but are not limited to, grammar checks and data integrity checks. Some or all of the above processing in the submission unit may be performed using a generative AI, or not. For example, the submission unit can input the contents of the submitted documents into a generative AI to check and correct errors.

[0103] The submission unit can estimate the emotions of government officials and adjust the submission method based on the estimated emotions. For example, if the official is relaxed, the submission unit provides a detailed submission method. For example, if the official is busy, the submission unit provides a concise submission method. For example, if the official is stressed, the submission unit provides a flexible submission method. This allows for more appropriate submissions by adjusting the submission method according to the emotions of the official. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the submission unit may be performed using generative AI or not. For example, the submission unit can input the official's emotion data into a generative AI to estimate emotions and adjust the submission method.

[0104] The submission unit can automatically select the destination for submitted documents and propose the optimal submission method. For example, the submission unit can automatically select the destination for submitted documents and propose the optimal submission method. The submission unit can automatically select the destination for submitted documents and propose the optimal submission method. The submission unit can automatically select the destination for submitted documents and propose the optimal submission method. This allows the system to propose the optimal submission method by automatically selecting the destination for submitted documents. The destination includes, but is not limited to, the location of a government office or the relevant department. Some or all of the above processing in the submission unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the submission unit can input the destination for submitted documents into a generation AI and propose the optimal submission method.

[0105] The submission unit can track the progress of submitted documents in real time and notify the user. The submission unit can, for example, track the progress of submitted documents in real time and notify the user. The submission unit can, for example, track the progress of submitted documents in real time and notify the user. The submission unit can, for example, track the progress of submitted documents in real time and notify the user. This allows the user to always be aware of the latest information by tracking the progress of submitted documents in real time. Methods for tracking progress include, but are not limited to, status updates and notification methods. Some or all of the above processing in the submission unit may be performed using or without a generative AI. For example, the submission unit can input the progress of submitted documents into a generative AI, track it in real time, and notify the user.

[0106] The management department can estimate the emotions of attendees and adjust the funeral schedule based on those estimates. For example, if attendees are sad, the management department might delay the funeral slightly. If attendees are busy, the management department might adjust the funeral schedule to coincide with their workday. If attendees are relaxed, the management department might hold the funeral immediately. This allows for a more appropriate schedule by adjusting the funeral schedule according to the emotions of the attendees. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the management department may be performed using generative AI or not. For example, the management department can input attendee emotion data into a generative AI to estimate emotions and adjust the funeral schedule.

[0107] The management department can automatically optimize the funeral schedule and support its efficient progress. For example, the management department can automatically optimize the funeral schedule and adjust the timing of each event. For example, the management department can propose an optimal schedule considering the convenience of attendees. For example, the management department can automatically make the necessary arrangements for the funeral to proceed smoothly. This enables efficient progress by automatically optimizing the funeral schedule. Schedule optimization includes, but is not limited to, the use of algorithms and setting priorities. Some or all of the above processes in the management department may be performed using generative AI or not. For example, the management department can input the funeral schedule into generative AI and generate an optimized schedule.

[0108] The management department can manage the funeral arrangements in detail and automate the necessary arrangements. For example, the management department can manage the funeral arrangements in detail and automate the necessary arrangements. For example, the management department can automate the necessary arrangements such as ordering funeral flowers and booking the venue. For example, the management department can automate the arrangements such as informing attendees and arranging transportation. This allows for efficient arrangement of necessary items by managing the funeral arrangements in detail. Arrangements include, but are not limited to, booking the venue, informing attendees, and ordering funeral flowers. Some or all of the above processes in the management department may be performed using a generation AI, or they may not be performed using a generation AI. For example, the management department can input the funeral arrangements into a generation AI, manage them in detail, and automate the necessary arrangements.

[0109] The management department can estimate the emotions of attendees and adjust the guidance content based on the estimated emotions. For example, if an attendee is sad, the management department will provide guidance using gentle language. For example, if an attendee is busy, the management department will provide concise guidance. For example, if an attendee is relaxed, the management department will provide detailed guidance. By adjusting the guidance content according to the emotions of attendees, more appropriate guidance becomes possible. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the management department may be performed using generative AI or not. For example, the management department can input attendee emotion data into a generative AI to estimate emotions and adjust the guidance content.

[0110] The management department can adjust the funeral schedule to suit the attendees' convenience. For example, the management department can propose the optimal schedule considering the attendees' availability. For example, the management department can adjust the schedule to suit the attendees' work and family commitments. For example, the management department can adjust the schedule to take into account the attendees' travel time. By adjusting the schedule to suit the attendees' convenience, more attendees can participate. Methods for confirming attendees' availability include, but are not limited to, questionnaires and scheduling tools. Some or all of the above processes in the management department may be performed using or without generational AI. For example, the management department can input attendees' availability into generational AI and adjust the schedule.

[0111] The management department can customize funeral arrangements according to the wishes of the attendees. For example, the management department can customize the type and quantity of floral tributes according to the attendees' wishes. For example, the management department can customize the layout of the venue according to the attendees' wishes. For example, the management department can customize transportation arrangements according to the attendees' wishes. By customizing the arrangements according to the attendees' wishes, a more satisfying funeral can be achieved. Customization of arrangements includes, but is not limited to, the selection of optional services and the incorporation of special requests. Some or all of the above processes in the management department may be performed using or without the use of a generation AI. For example, the management department can input the attendees' wishes into a generation AI and customize the arrangements.

[0112] The support unit can estimate the user's emotions and adjust the support provided for the procedure based on the estimated emotions. For example, if the user is sad, the support unit will provide support using gentle language. For example, if the user is busy, the support unit will provide concise support. For example, if the user is relaxed, the support unit will provide detailed support. By adjusting the support provided for the procedure according to the user's emotions, more appropriate support becomes possible. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the support unit may be performed using generative AI or not. For example, the support unit can input user emotion data into a generative AI to estimate emotions and adjust the support provided.

[0113] The support unit can automatically optimize health insurance and pension procedures, supporting efficient processing. For example, the support unit can automatically optimize health insurance and pension procedures, supporting efficient processing. For example, the support unit can automatically create necessary documents and guide users on how to submit them. For example, the support unit can track the progress of procedures in real time and notify users. This enables efficient processing by automatically optimizing health insurance and pension procedures. Methods for automatically optimizing procedures include, but are not limited to, the use of algorithms and setting priorities. Some or all of the above processing in the support unit may be performed using generative AI, or not. For example, the support unit can input health insurance and pension procedures into generative AI and generate optimized procedures.

[0114] The support department can automatically create the necessary documents for the procedure and guide users on how to submit them. For example, the support department can automatically create the necessary documents and guide users on how to submit them. For example, the support department can automatically optimize the document format to improve the efficiency of submission. For example, the support department can automatically check the content of submitted documents and correct errors in advance. This improves the efficiency of submission by automatically creating the necessary documents for the procedure. Necessary documents include, but are not limited to, application forms, certificates, and consent forms. Some or all of the above processes in the support department may be performed using or without a generation AI. For example, the support department can input the necessary documents for the procedure into a generation AI and then create the documents and guide users on how to submit them.

[0115] The support unit can estimate the user's emotions and determine the priority of procedures based on the estimated emotions. For example, if the user is sad, the support unit will support the procedure with the highest priority. If the user is busy, for example, the support unit will lower the priority and support the procedure later. If the user is relaxed, for example, the support unit will support the procedure with the normal priority. This allows for more appropriate procedures by determining the priority of procedures according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the support unit may be performed using generative AI or not. For example, the support unit can input user emotion data into a generative AI to estimate emotions and determine the priority of procedures.

[0116] The support department can optimize health insurance and pension procedures by region and support procedures specific to each region. For example, the support department can optimize procedures by region and support efficient procedures. For example, the support department can automatically create the necessary documents for procedures specific to each region and guide users on how to submit them. For example, the support department can track the progress of procedures specific to each region in real time and notify users. This makes procedures more efficient by optimizing health insurance and pension procedures by region. Methods of regional optimization include, but are not limited to, taking into account differences in regulations and procedures specific to each region. Some or all of the above processing in the support department may be performed using or without generative AI. For example, the support department can input health insurance and pension procedures into generative AI and generate procedures optimized for each region.

[0117] The support unit can track the progress of the procedure in real time and notify the user. The support unit can, for example, track the progress of the procedure in real time and notify the user. The support unit can, for example, track the progress of the procedure in real time and notify the user. The support unit can, for example, track the progress of the procedure in real time and notify the user. This allows the user to always be aware of the latest information by tracking the progress of the procedure in real time. Methods for tracking progress include, but are not limited to, status updates and notification methods. Some or all of the above processing in the support unit may be performed using a generative AI or not. For example, the support unit can input the progress of the procedure into a generative AI, track it in real time, and notify the user.

[0118] The inheritance department can estimate the emotions of the heirs and adjust the progress of the inheritance procedures based on those estimated emotions. For example, if an heir is sad, the inheritance department may slightly delay the inheritance procedures. If an heir is busy, the inheritance department may adjust the inheritance procedures to coincide with their workday. If an heir is relaxed, the inheritance department may proceed with the inheritance procedures immediately. This allows for more appropriate procedures by adjusting the progress of the inheritance procedures according to the emotions of the heirs. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the inheritance department may be performed using generative AI or not. For example, the inheritance department can input the heir's emotion data into a generative AI to estimate emotions and adjust the progress of the inheritance procedures.

[0119] The inheritance department can automate a detailed investigation of inherited assets and streamline inheritance procedures. For example, the inheritance department can automate a detailed investigation of inherited assets and streamline inheritance procedures. The inheritance department can automate a detailed investigation of inherited assets and streamline inheritance procedures. The inheritance department can automate a detailed investigation of inherited assets and streamline inheritance procedures. This streamlines inheritance procedures by automating a detailed investigation of inherited assets. A detailed investigation of inherited assets includes, but is not limited to, the creation of an inventory of assets and methods for valuing assets. Some or all of the above-described processes in the inheritance department may be performed using a generation AI, or not. For example, the inheritance department can input a detailed investigation of inherited assets into a generation AI and streamline inheritance procedures based on the investigation results.

[0120] The inheritance department can automatically create the documents required for inheritance procedures and provide guidance on how to submit them. For example, the inheritance department can automatically create the documents required for inheritance procedures and provide guidance on how to submit them. For example, the inheritance department can automatically optimize the format of documents to improve the efficiency of submission. For example, the inheritance department can automatically check the content of submitted documents and correct errors in advance. This improves the efficiency of submission by automatically creating the documents required for inheritance procedures. Required documents include, but are not limited to, application forms, certificates, and consent forms. Some or all of the above processes in the inheritance department may be performed using a generation AI, or not. For example, the inheritance department can input the documents required for inheritance procedures into a generation AI and provide guidance on how to create and submit the documents.

[0121] The inheritance department can estimate the emotions of heirs and determine the priority of inheritance procedures based on those estimated emotions. For example, if an heir is sad, the inheritance department will support the inheritance procedures with the highest priority. If an heir is busy, for example, the inheritance department will lower the priority and support the inheritance procedures later. If an heir is relaxed, for example, the inheritance department will support the inheritance procedures with the normal priority. This allows for more appropriate procedures by determining the priority of inheritance procedures according to the emotions of the heirs. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the inheritance department may be performed using generative AI or not. For example, the inheritance department can input heir emotion data into a generative AI to estimate emotions and determine the priority of inheritance procedures.

[0122] The inheritance department can optimize inheritance procedures by region and support procedures specific to each region. For example, the inheritance department can optimize procedures by region and support efficient procedures. For example, the inheritance department can automatically create the necessary documents for procedures specific to each region and guide the heirs on how to submit them. For example, the inheritance department can track the progress of procedures specific to each region in real time and notify the heirs. This makes procedures more efficient by optimizing inheritance procedures by region. Methods of regional optimization include, but are not limited to, taking into account differences in regulations and procedures specific to each region. Some or all of the above processes in the inheritance department may be performed using or without generative AI. For example, the inheritance department can input inheritance procedures into generative AI and generate procedures optimized for each region.

[0123] The inheritance department can track the progress of inheritance procedures in real time and notify the heirs. For example, the inheritance department can track the progress of inheritance procedures in real time and notify the heirs. This ensures that heirs are always up-to-date by tracking the progress of inheritance procedures in real time. Methods for tracking progress include, but are not limited to, status updates and notification methods. Some or all of the above processes in the inheritance department may be performed using or without a generating AI. For example, the inheritance department can input the progress of inheritance procedures into a generating AI, track it in real time, and notify the heirs.

[0124] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0125] The automated procedure system further includes a notification unit. The notification unit can notify the user of the progress of the procedure and important deadlines. For example, the notification unit can track the progress of the procedure in real time and notify the user via email or messaging app. The notification unit can also send reminders when important deadlines are approaching. This allows the user to always be aware of the progress of the procedure and proceed with the procedure without missing important deadlines. Some or all of the above processing in the notification unit may be performed using or without a generative AI. For example, the notification unit can input the progress of the procedure into a generative AI, track it in real time, and notify the user.

[0126] The automated procedure system further includes an analysis unit. The analysis unit can analyze past procedure data and propose the optimal procedure method. For example, based on past procedure data, the analysis unit can propose the most efficient sequence and method of procedures. The analysis unit can also analyze the user's procedure history and propose individually optimized procedure methods. This allows the user to utilize the optimal procedure method based on past data, improving the efficiency of procedures. Some or all of the above processing in the analysis unit may be performed using a generation AI, or not. For example, the analysis unit can input past procedure data into a generation AI and propose the optimal procedure method.

[0127] The automated procedural system also includes a translation unit. This unit can translate necessary documents and communications into multiple languages. For example, if a user speaks a foreign language, the unit can automatically translate the required documents. The unit can also translate communications into multiple languages, allowing for communication with acquaintances and relatives in the appropriate language. This enables procedures to proceed across language barriers, facilitating smooth international processes. Some or all of the above-described processes in the translation unit may be performed using or without a generative AI. For example, the translation unit can input necessary documents into a generative AI and translate them into multiple languages.

[0128] The automated procedure system also includes a backup unit. The backup unit can periodically back up data related to procedures, preventing data loss. For example, the backup unit periodically saves data on the progress of procedures and submitted documents to cloud storage. The backup unit can also restore data using backup data in the event of data loss or corruption. This ensures the security of data related to procedures and allows for handling of any unforeseen problems. Some or all of the above-described processes in the backup unit may be performed using a generation AI, or they may not. For example, the backup unit can input procedure data into a generation AI and perform periodic backups.

[0129] The automated procedure system further includes a security unit. The security unit provides functions to ensure the security of procedure data. For example, the security unit encrypts data to protect it from unauthorized access. The security unit can also enhance user authentication and restrict access to procedure data. This improves the security of procedure data and protects user privacy. Some or all of the above processes in the security unit may be performed using or without a generative AI. For example, the security unit can input procedure data into a generative AI to perform encryption and user authentication.

[0130] The automated procedure system further includes an emotion estimation unit. The emotion estimation unit can estimate the user's emotions and adjust the support provided by the procedure based on the estimated emotions. For example, if the user is sad, the emotion estimation unit will provide support using gentle language. If the user is busy, the emotion estimation unit can also provide concise support. If the user is relaxed, the emotion estimation unit can provide detailed support. This allows for more appropriate support by adjusting the support provided by the procedure according to the user's emotions. Emotion estimation is achieved using, for example, an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above-described processing in the emotion estimation unit may be performed using the generative AI or not. For example, the emotion estimation unit can input the user's emotion data into the generative AI to estimate emotions and adjust the support provided.

[0131] The automated procedure system further includes an emotion estimation unit. The emotion estimation unit can estimate the emotions of acquaintances and relatives and adjust the timing of contact based on the estimated emotions. For example, if an acquaintance or relative is sad, the emotion estimation unit can delay contact slightly to wait for their emotions to calm down. If an acquaintance or relative is busy, the emotion estimation unit can also time contact to coincide with the end of their workday. If an acquaintance or relative is relaxed, the emotion estimation unit can contact them immediately. This allows for more appropriate contact by adjusting the timing of contact according to the emotions of acquaintances and relatives. Emotion estimation is achieved using, for example, an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the emotion estimation unit may be performed using or without generative AI. For example, the emotion estimation unit can input emotion data of acquaintances and relatives into a generative AI to estimate emotions and adjust the timing of contact.

[0132] The automated procedure system further includes an emotion estimation unit. The emotion estimation unit can estimate the emotions of the funeral home staff and adjust the timing of negotiations based on the estimated emotions. For example, if the funeral home staff is busy, the emotion estimation unit may postpone negotiations. If the funeral home staff is relaxed, the emotion estimation unit may also proceed with negotiations immediately. If the funeral home staff is stressed, the emotion estimation unit may slightly delay negotiations. This allows for more appropriate negotiations by adjusting the timing of negotiations according to the emotions of the funeral home staff. Emotion estimation is achieved using, for example, an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the emotion estimation unit may be performed using generative AI or not. For example, the emotion estimation unit can input the emotional data of the funeral home staff into a generative AI to estimate emotions and adjust the timing of negotiations.

[0133] The automated procedural system further includes an emotion estimation unit. The emotion estimation unit can estimate the emotions of government officials and adjust the timing of submissions based on the estimated emotions. For example, if the government official is busy, the emotion estimation unit may postpone the submission. If the government official is relaxed, the emotion estimation unit may submit immediately. If the government official is stressed, the emotion estimation unit may slightly delay the submission. This allows for more appropriate submissions by adjusting the timing of submissions according to the emotions of the government official. Emotion estimation is achieved using, for example, an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the emotion estimation unit may be performed using or without generative AI. For example, the emotion estimation unit can input government official emotion data into a generative AI to estimate emotions and adjust the timing of submissions.

[0134] The automated procedure system further includes an emotion estimation unit. The emotion estimation unit can estimate the emotions of the heirs and adjust the progress of the inheritance procedure based on the estimated emotions. For example, if the emotion estimation unit is sad, it may slightly delay the inheritance procedure. If the heir is busy, it may also adjust the inheritance procedure to coincide with the end of their workday. If the heir is relaxed, it may proceed with the inheritance procedure immediately. This allows for a more appropriate procedure by adjusting the progress of the inheritance procedure according to the emotions of the heirs. Emotion estimation is achieved using, for example, an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the emotion estimation unit may be performed using or without generative AI. For example, the emotion estimation unit can input the heir's emotion data into a generative AI to estimate emotions and adjust the progress of the inheritance procedure.

[0135] The following briefly describes the processing flow for example form 2.

[0136] Step 1: The contact department contacts acquaintances and relatives. The contact department can, for example, automatically contact acquaintances and relatives based on a contact list. The contact department can, for example, make contacts using phone calls, emails, or messaging apps. The contact department can use a generation AI to automatically make contacts based on a contact list. Step 2: The selection unit selects a funeral service provider. The selection unit, for example, collects information on local funeral service providers and proposes the most suitable provider. The selection unit can make selections based on factors such as price, services offered, and customer reviews. The selection unit can use generative AI to collect information on local funeral service providers and propose the most suitable provider. Step 3: The submission unit handles the submission of the death certificate and the application for cremation permit. The submission unit automatically generates the necessary documents and supports their submission to the government office. The submission unit can, for example, submit documents online or by mail. The submission unit can use generation AI to automatically generate the necessary documents and support their submission to the government office. Step 4: The management department manages the funeral schedule and makes necessary arrangements. For example, the management department can make venue reservations, send invitations to attendees, and arrange for funeral flowers. The management department can use generative AI to manage the funeral schedule and make necessary arrangements. Step 5: The support department assists with health insurance and pension procedures. The support department assists with administrative procedures such as filing notifications of loss of eligibility for health insurance and employee pension insurance, suspension of employee pension benefits, suspension of national pension benefits, and notification of change of head of household on the resident register. The support department can use AI generation to assist with health insurance and pension procedures. Step 6: The Inheritance Department provides support for inheritance procedures. For example, the Inheritance Department assists with finding and probating wills, investigating and identifying heirs, investigating inherited assets, considering and processing inheritance renunciation and limited acceptance, estate division, and real estate title transfer. The Inheritance Department can also support inheritance procedures using AI generation.

[0137] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0138] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0139] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0140] Each of the multiple elements mentioned above, including the communication unit, selection unit, submission unit, management unit, support unit, and inheritance unit, is implemented by, for example, at least one of the smart device 14 and the data processing unit 12. For example, the communication unit is implemented by the control unit 46A of the smart device 14 and automatically contacts acquaintances and relatives based on the contact list. The selection unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and collects information on local funeral service providers and proposes the most suitable one. The submission unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and automatically creates the necessary documents and supports their submission to government offices. The management unit is implemented by, for example, the control unit 46A of the smart device 14 and manages the funeral schedule and makes the necessary arrangements. The support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and supports procedures for health insurance and pensions. The inheritance unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and supports procedures related to inheritance. The correspondence between each part and the device or control unit is not limited to the examples described above, and various modifications are possible.

[0141] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0142] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0143] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0144] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0145] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0146] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0147] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0148] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing by the processor 28. The storage 32 stores the specific processing program 56.

[0149] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0150] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0151] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0152] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0153] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0154] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0155] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0156] Each of the multiple elements mentioned above, including the communication unit, selection unit, submission unit, management unit, support unit, and inheritance unit, is implemented by at least one of the smart glasses 214 and the data processing unit 12. For example, the communication unit is implemented by the control unit 46A of the smart glasses 214 and automatically contacts acquaintances and relatives based on the contact list. The selection unit is implemented by the specific processing unit 290 of the data processing unit 12 and collects information on local funeral service providers and proposes the most suitable one. The submission unit is implemented by the specific processing unit 290 of the data processing unit 12 and automatically creates the necessary documents and supports their submission to government offices. The management unit is implemented by the control unit 46A of the smart glasses 214 and manages the funeral schedule and makes the necessary arrangements. The support unit is implemented by the specific processing unit 290 of the data processing unit 12 and supports procedures for health insurance and pensions. The inheritance unit is implemented by the specific processing unit 290 of the data processing unit 12 and supports procedures related to inheritance. The correspondence between each part and the device or control unit is not limited to the examples described above, and various modifications are possible.

[0157] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0158] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0159] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0160] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0161] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0162] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0163] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0164] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0165] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0166] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0167] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0168] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0169] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0170] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0171] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0172] Each of the multiple elements mentioned above, including the contact unit, selection unit, submission unit, management unit, support unit, and inheritance unit, is implemented by, for example, at least one of the headset terminal 314 and the data processing unit 12. For example, the contact unit is implemented by the control unit 46A of the headset terminal 314 and automatically contacts acquaintances and relatives based on the contact list. The selection unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and collects information on local funeral service providers and proposes the most suitable one. The submission unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and automatically creates the necessary documents and supports their submission to government offices. The management unit is implemented by, for example, the control unit 46A of the headset terminal 314 and manages the funeral schedule and makes the necessary arrangements. The support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and supports procedures for health insurance and pensions. The inheritance unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and supports procedures related to inheritance. The correspondence between each part and the device or control unit is not limited to the examples described above, and various modifications are possible.

[0173] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0174] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0175] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0176] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0177] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0178] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0179] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0180] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0181] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0182] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0183] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0184] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0185] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0186] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0187] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0188] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0189] Each of the multiple elements mentioned above, including the communication unit, selection unit, submission unit, management unit, support unit, and inheritance unit, is implemented by, for example, at least one of the robot 414 and the data processing unit 12. For example, the communication unit is implemented by the control unit 46A of the robot 414 and automatically contacts acquaintances and relatives based on a contact list. The selection unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and collects information on local funeral service providers and proposes the most suitable one. The submission unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and automatically creates the necessary documents and supports their submission to government offices. The management unit is implemented by, for example, the control unit 46A of the robot 414 and manages the funeral schedule and makes the necessary arrangements. The support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and supports procedures for health insurance and pensions. The inheritance unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and supports procedures related to inheritance. The correspondence between each part and the device or control unit is not limited to the examples described above, and various modifications are possible.

[0190] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0191] Figure 9 shows the emotion map 400, in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0192] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0193] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0194] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, and motorcycles, emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated based, for example, on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0195] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0196] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0197] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which includes computer 22 and multiple other computers.

[0198] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0199] 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.

[0200] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0201] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0202] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0203] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0204] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0205] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0206] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and other things that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0207] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0208] (Note 1) The liaison department is responsible for contacting acquaintances and relatives, Based on the information obtained by the aforementioned liaison department, the selection department selects funeral service providers. Based on the information of funeral service providers selected by the aforementioned selection department, there is a submission department that submits death certificates and applies for cremation permits, Based on the information submitted by the aforementioned submission department, the management department manages the funeral schedule and makes the necessary arrangements. Based on the information managed by the aforementioned management department, the support department provides support for health insurance and pension procedures. The system includes an inheritance unit that supports inheritance procedures based on information supported by the aforementioned support unit. A system characterized by the following features. (Note 2) The aforementioned liaison department, The system automatically contacts acquaintances and relatives based on the contact list. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned selection unit is We gather information on local funeral service providers and propose the most suitable one. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned submission section, It automatically creates the necessary documents and supports their submission to government offices. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned management department, Manage the funeral schedule and make the necessary arrangements. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned support unit is Support for health insurance and pension procedures The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned inheritance section is, We provide support for searching for and probating wills, investigating and identifying heirs, investigating inherited assets, considering and processing inheritance renunciation and limited acceptance, estate division, and real estate title transfer. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned liaison department, We estimate the feelings of acquaintances and relatives, and adjust the timing of contact based on those estimated feelings. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned liaison department, Automatically adjusts the frequency of contact list updates to maintain the most up-to-date contact information. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned liaison department, When making contact, the content of the message will be customized individually, and appropriate wording and expressions will be selected. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned liaison department, It estimates the feelings of acquaintances and relatives and determines the priority of contact based on those estimated feelings. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned liaison department, When contact is made, the method of contact will be automatically selected. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned liaison department, When contacting someone, group communications will be automatically initiated based on the contact list. The system described in Appendix 1, characterized by the features described herein. (Note 14) The aforementioned selection unit is We estimate the emotions of the funeral home representative and adjust the timing of negotiations based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 15) The aforementioned selection unit is We analyze the past service history of funeral service providers to select the most suitable provider. The system described in Appendix 1, characterized by the features described herein. (Note 16) The aforementioned selection unit is We provide a detailed comparison of the services offered by funeral service providers and recommend the provider best suited to the user's needs. The system described in Appendix 1, characterized by the features described herein. (Note 17) The aforementioned selection unit is We estimate the emotions of the funeral service provider's representative and adjust the proposal based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 18) The aforementioned selection unit is We analyze regional evaluations of funeral service providers and propose the most suitable provider for each region. The system described in Appendix 1, characterized by the features described herein. (Note 19) The aforementioned selection unit is We analyze the price ranges of funeral service providers and suggest providers that fit your budget. The system described in Appendix 1, characterized by the features described herein. (Note 20) The aforementioned submission section, We estimate the emotions of the government official in charge and adjust the timing of submission based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned submission section, Automatically optimizes the format of submitted documents to improve submission efficiency. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned submission section, The system automatically checks the contents of submitted documents and corrects errors in advance. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned submission section, We estimate the emotions of the government official in charge and adjust the submission method based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned submission section, The system automatically selects the submission destination for documents and suggests the most suitable submission method. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned submission section, Track the progress of submitted documents in real time and notify users. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned management department, The system estimates the emotions of the attendees and adjusts the funeral schedule based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned management department, Automatically optimizes the funeral schedule and supports efficient proceedings. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned management department, The system meticulously manages funeral arrangements and automatically handles all necessary procedures. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned management department, The system estimates the emotions of the attendees and adjusts the content of the announcements based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 30) The aforementioned management department, Adjust the funeral schedule to suit the attendees' convenience. The system described in Appendix 1, characterized by the features described herein. (Note 31) The aforementioned management department, Customize funeral arrangements according to the wishes of the attendees. The system described in Appendix 1, characterized by the features described herein. (Note 32) The aforementioned support unit is The system estimates the user's emotions and adjusts the support provided for the procedure based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 33) The aforementioned support unit is It automatically optimizes health insurance and pension procedures, supporting efficient processing. The system described in Appendix 1, characterized by the features described herein. (Note 34) The aforementioned support unit is The system automatically generates the necessary documents for the procedure and provides instructions on how to submit them. The system described in Appendix 1, characterized by the features described herein. (Note 35) The aforementioned support unit is The system estimates the user's emotions and determines the priority of procedures based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 36) The aforementioned support unit is We optimize health insurance and pension procedures by region and support procedures specific to each region. The system described in Appendix 1, characterized by the features described herein. (Note 37) The aforementioned support unit is Track the progress of the procedure in real time and notify the user. The system described in Appendix 1, characterized by the features described herein. (Note 38) The aforementioned inheritance section is, Estimate the feelings of the heirs and adjust the progress of the inheritance process based on those estimated feelings. The system described in Appendix 1, characterized by the features described herein. (Note 39) The aforementioned inheritance section is, Automate a detailed investigation of inherited assets and streamline inheritance procedures. The system described in Appendix 1, characterized by the features described herein. (Note 40) The aforementioned inheritance section is, It automatically creates the necessary documents for inheritance procedures and provides instructions on how to submit them. The system described in Appendix 1, characterized by the features described herein. (Note 41) The aforementioned inheritance section is, The system estimates the feelings of the heirs and determines the priority of inheritance procedures based on those estimated feelings. The system described in Appendix 1, characterized by the features described herein. (Note 42) The aforementioned inheritance section is, We optimize inheritance procedures by region and support procedures specific to each region. The system described in Appendix 1, characterized by the features described herein. (Note 43) The aforementioned inheritance section is, Track the progress of inheritance procedures in real time and notify the heirs. The system described in Appendix 1, characterized by the features described herein. [Explanation of Symbols]

[0209] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. The liaison department is responsible for contacting acquaintances and relatives, Based on the information obtained by the aforementioned liaison department, the selection department selects funeral service providers. Based on the information of funeral service providers selected by the aforementioned selection department, there is a submission department that submits death certificates and applies for cremation permits, Based on the information submitted by the aforementioned submission department, the management department manages the funeral schedule and makes the necessary arrangements. Based on the information managed by the aforementioned management department, the support department provides support for health insurance and pension procedures. The system includes an inheritance unit that supports inheritance procedures based on information supported by the aforementioned support unit. A system characterized by the following features.

2. The aforementioned liaison department, The system automatically contacts acquaintances and relatives based on the contact list. The system according to feature 1.

3. The aforementioned selection unit is We gather information on local funeral service providers and propose the most suitable one. The system according to feature 1.

4. The aforementioned submission section, It automatically creates the necessary documents and supports their submission to government offices. The system according to feature 1.

5. The aforementioned management department, Manage the funeral schedule and make the necessary arrangements. The system according to feature 1.

6. The aforementioned support unit is Support for health insurance and pension procedures The system according to feature 1.

7. The aforementioned inheritance section is, We provide support for searching for and probating wills, investigating and identifying heirs, investigating inherited assets, considering and processing inheritance renunciation and limited acceptance, estate division, and real estate title transfer. The system according to feature 1.

8. The aforementioned liaison department, We estimate the feelings of acquaintances and relatives, and adjust the timing of contact based on those estimated feelings. The system according to feature 1.

9. The aforementioned liaison department, Automatically adjusts the frequency of contact list updates to maintain the most up-to-date contact information. The system according to feature 1.

10. The aforementioned liaison department, When making contact, the content of the message will be customized individually, and appropriate wording and expressions will be selected. The system according to feature 1.

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