system

Abstract

The system according to this embodiment aims to comprehensively manage procedures and tasks and provide accurate instructions during important life events such as weddings, funerals, and emergencies. [Solution] The system according to the embodiment comprises a management unit, an instruction unit, and a generation unit. The management unit manages the procedures and tasks for each life event. The instruction unit provides accurate instructions to the user based on the procedures and tasks managed by the management unit. The generation unit generates specific procedures and necessary documents based on the instructions provided by the instruction 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, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technology, there is a problem that in important life events such as weddings, funerals, and emergencies, procedures and tasks are not sufficiently managed comprehensively and accurate instructions are not provided.

[0005] The system according to the embodiment aims to comprehensively manage procedures and tasks and provide accurate instructions in important life events such as weddings, funerals, and emergencies.

Means for Solving the Problems

[0006] The system according to this embodiment comprises a management unit, an instruction unit, and a generation unit. The management unit manages the procedures and tasks for each life event. The instruction unit provides accurate instructions to the user based on the procedures and tasks managed by the management unit. The generation unit generates specific procedures and necessary documents based on the instructions provided by the instruction unit. [Effects of the Invention]

[0007] The system according to this embodiment can comprehensively manage procedures and tasks and provide accurate instructions during important life events such as weddings, funerals, and emergencies. [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 multiple 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) The life event support system according to an embodiment of the present invention is a system that comprehensively supports the procedures and preparations for important life events such as weddings, funerals, and emergencies. This life event support system manages the procedures and tasks necessary for a wide range of life events, such as weddings, funerals, disaster response, moving, and home purchases, and provides users with precise instructions. Utilizing generative AI, it assists users in smoothly managing specific procedures, necessary documents, contacts, budget management, and priority tasks for various life events they face. It also provides solutions for potential problems that may arise during each event or emergency. Based on past data and the experiences of other users, it presents the most effective advice and best practices. For example, in wedding preparations, it fully supports all tasks, from theme selection and venue booking to catering arrangements, photographer selection, and invitation creation. Furthermore, it tracks expenditures using a budget management function and issues alerts to prevent budget overruns. It also provides a detailed schedule for the day and troubleshooting measures to support the smooth running of the wedding. Next, for funerals, we provide detailed guidance on all necessary steps, from placing the body in mortuary to selecting a funeral home, scheduling, and conducting the memorial service. We also provide support by preparing necessary documents and providing legal information to ensure nothing is overlooked. Furthermore, we manage a centralized list of relatives and friends who need to be contacted urgently, automating communication and notification tasks related to the funeral. In the event of unexpected problems, we also provide real-time support. For disaster response, we provide multifaceted support, from creating evacuation plans for home and work, to preparing emergency kits, and providing real-time emergency alerts and evacuation information. We have functions to confirm the safety of all family members and manage contact information, creating a system that can respond quickly in emergencies. We also provide health management and survival guides during evacuation, supporting even long-term evacuation life. For moving, we manage tasks in detail, from pre-move preparations to moving to the new home, selecting a moving company, packing belongings, and greeting neighbors, supporting an efficient move. We automatically generate necessary procedures and task lists to ensure a smooth transition to life in the new home. We track the progress of the move and provide reminders for small tasks that are easily forgotten.Finally, the system supports the entire home purchase process, from property selection and contract procedures to loan application and handover. It meticulously manages many steps, including communication with real estate agents, mortgage application review, and preparation of contract documents, and tracks progress. Furthermore, it provides information that buyers should know and advice based on the experiences of other buyers. In this way, the life event support system can efficiently manage the procedures and tasks of various life events that users face, provide precise instructions, and generate necessary documents.

[0029] The life event support system according to this embodiment comprises a management unit, an instruction unit, and a generation unit. The management unit manages procedures and tasks for each life event. For example, in wedding preparations, the management unit manages tasks such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. The management unit can also manage tasks in funerals, such as body placement, funeral home selection, scheduling, and funeral service procedures. Furthermore, the management unit can manage tasks in disaster response, such as creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. For example, in wedding preparations, the management unit supports theme selection and venue booking. The management unit can also support body placement and funeral home selection in funerals. Furthermore, the management unit can also support evacuation plans and emergency kit preparation in disaster response. The instruction unit provides accurate instructions to the user based on the procedures and tasks managed by the management unit. The instruction unit provides instructions for wedding preparations, such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. It can also provide instructions for funerals, such as body placement, funeral home selection, scheduling, and funeral service procedures. Furthermore, it can provide instructions for disaster response, such as evacuation plan creation, emergency kit preparation, and real-time emergency alerts and evacuation information. For example, the instruction unit supports wedding preparations, such as theme selection and venue booking. It can also support funeral preparations, such as body placement and funeral home selection. Furthermore, it can also support disaster response, such as evacuation plan creation and emergency kit preparation. The generation unit generates specific procedures and necessary documents based on the instructions provided by the instruction unit. For example, the generation unit generates procedures and documents for wedding preparations, such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. Furthermore, the generation unit can also generate procedures and documents for funerals, such as those related to the placement of the body, selection of a funeral home, scheduling, and the procedures for the funeral service.Furthermore, the generation unit can also generate procedures and documents for disaster response, such as creating evacuation plans, preparing emergency supply kits, and providing real-time emergency alerts and evacuation information. For example, the generation unit can support wedding preparations, such as theme selection and venue booking. It can also support funeral arrangements, such as body storage and funeral home selection. Moreover, the generation unit can support disaster response, such as creating evacuation plans and preparing emergency supply kits. As a result, the life event support system according to this embodiment can efficiently manage procedures and tasks for each life event, provide accurate instructions to the user, and generate necessary documents.

[0030] The management department manages the procedures and tasks for each life event. Specifically, in wedding preparations, it meticulously manages tasks such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. The management department maintains a database for centralized management of these tasks, allowing for real-time updates of each task's progress, assigned personnel, and deadlines. For example, when selecting a wedding theme, it proposes multiple themes based on the user's preferences and budget, and lists the necessary items and services for each theme. When booking a venue, it gathers information on the availability, price, and facilities of potential venues to provide the user with the best option. For catering arrangements, it handles menu selection, scheduling of tasting sessions, and confirmation of contract details. When selecting a photographer, it compares past work, ratings, and pricing plans to choose the photographer that best suits the user's needs. For invitation creation, it manages everything from design selection to printing and mailing arrangements. In funerals, it manages tasks such as body placement, funeral home selection, scheduling, and funeral service procedures. For handling the deceased's body, the team selects an appropriate location and method and supports the necessary procedures. For selecting a funeral home, they compare the services and fees of multiple funeral homes to choose the most suitable one. For scheduling, they coordinate the schedules of those involved and determine the date and time of the funeral service. For funeral service procedures, they meticulously manage the progress of the service, the arrangement of necessary items, and the guidance of attendees. In disaster response, they manage tasks such as creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. When creating evacuation plans, they consider regional characteristics and past disaster history to determine the optimal evacuation routes and locations. For preparing emergency kits, they create a list of necessary items and conduct regular checks and replenishments. For providing real-time emergency alerts and evacuation information, they collect weather and disaster information and promptly notify users. This allows the management department to efficiently manage procedures and tasks for each life event, providing users with peace of mind.

[0031] The Instructions Department provides users with precise instructions based on procedures and tasks managed by the Management Department. Specifically, in wedding preparations, it provides instructions for theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. The Instructions Department can issue instructions at the optimal time according to the user's preferences and schedule. For example, when selecting a theme, it proposes multiple themes to the user and explains the advantages and disadvantages of each. When booking a venue, it checks the availability and prices of candidate venues in real time and supports the booking process. When arranging catering, it selects menus and adjusts the schedule for tasting sessions, providing users with the best options. When selecting a photographer, it suggests the most suitable photographer to the user based on past work and ratings. When creating invitations, it supports design selection, printing, and mailing arrangements, providing users with precise instructions. In funerals, it provides instructions from body placement to funeral home selection, scheduling, and funeral service procedures. When placing the body, it selects an appropriate location and method and supports the necessary procedures. In selecting a funeral home, the system provides instructions for comparing the services and fees of multiple funeral homes to choose the most suitable one. For scheduling, it provides instructions for coordinating the schedules of those involved and determining the date and time of the funeral service. For funeral service procedures, it provides detailed instructions for the progress of the service, arranging necessary items, and informing attendees. In disaster response, it provides instructions for creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. For creating evacuation plans, it provides instructions for setting optimal evacuation routes and locations, taking into account regional characteristics and past disaster history. For preparing emergency kits, it provides instructions for creating a list of necessary items and for regular inspections and replenishment. For providing real-time emergency alerts and evacuation information, it provides instructions for collecting weather information and disaster occurrence information and promptly notifying users. This allows the instruction unit to provide accurate instructions to users, enabling the smooth progress of procedures and tasks in each life event.

[0032] The generation unit generates specific procedures and necessary documents based on instructions provided by the instruction unit. Specifically, in wedding preparations, it generates procedures and documents for theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. Based on user input and selections, the generation unit can automatically generate detailed procedure manuals and checklists necessary for each task. For example, in theme selection, it generates a list of necessary decoration items and services based on the selected theme. For venue booking, it automatically generates and provides the user with a booking confirmation and contract. For catering arrangements, it generates an arrangement document including menu details and a tasting schedule. For photographer selection, it generates and provides the user with a contract and shooting schedule. For invitation creation, it automatically generates the layout and text of the invitation based on a design template and creates print-ready data. In funerals, it generates procedures and documents for body placement, funeral home selection, scheduling, and funeral service procedures. For body placement, it automatically generates and provides the user with the necessary procedures and documents. For selecting a funeral home, the system generates documents including contracts and detailed service descriptions. For scheduling, it generates a schedule to coordinate the schedules of those involved. For funeral service procedures, it generates detailed instructions regarding the progress of the service and the arrangement of necessary items. For disaster response, it generates procedures and documents such as creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. For creating evacuation plans, it generates detailed plans for evacuation routes and locations that take into account regional characteristics and past disaster history. For preparing emergency kits, it generates lists of necessary items and inspection schedules. For providing real-time emergency alerts and evacuation information, it generates notification letters and evacuation orders based on the latest information. In this way, the generation unit can quickly provide users with specific procedures and necessary documents, enabling the smooth progress of procedures and tasks in each life event.

[0033] The Wedding Support Department assists with wedding preparations, including theme selection and venue booking. For example, it can help with theme selection, such as color and style selection. Furthermore, it can assist with venue booking, providing information and timing. This allows the Wedding Support Department to efficiently support wedding preparations, including theme selection and venue booking.

[0034] The Funeral Support Department provides support for funeral arrangements, including body reclamation and the selection of a funeral home. For example, the Funeral Support Department assists in selecting a location and method of body reclamation. Furthermore, the Funeral Support Department can also assist in selecting a funeral home by providing information on fees and services. This allows the Funeral Support Department to efficiently support funeral arrangements and the selection of a funeral home.

[0035] The Disaster Response Support Department provides support in disaster response, including assistance in creating evacuation plans and preparing emergency supply kits. For example, in creating evacuation plans, the Disaster Response Support Department can assist in selecting evacuation routes and locations. Furthermore, in preparing emergency supply kits, the Disaster Response Support Department can also assist in preparing food, water, and medicine. For instance, in creating evacuation plans, the Disaster Response Support Department can assist in selecting evacuation routes. Furthermore, the Disaster Response Support Department can also assist in selecting evacuation locations. In addition, the Disaster Response Support Department can assist in preparing emergency supply kits, including preparing food. This allows the Disaster Response Support Department to efficiently support disaster response by assisting in the creation of evacuation plans and the preparation of emergency supply kits.

[0036] The Moving Support Department provides support for moving, from pre-move preparations to the move to your new home. For example, during pre-move preparations, the Moving Support Department can assist with packing belongings and changing your address. Furthermore, during the move to your new home, the Moving Support Department can also assist with arranging moving companies and managing the moving schedule. In this way, the Moving Support Department can efficiently support both pre-move preparations and the move to your new home.

[0037] The Housing Purchase Support Department provides support for property selection and contract procedures during the home purchase process. For example, the Housing Purchase Support Department can assist with selecting properties based on location and price range. Furthermore, the Housing Purchase Support Department can also assist with contract drafting and preparation of necessary documents during the contract procedures. For example, the Housing Purchase Support Department can assist with selecting properties based on location. Furthermore, the Housing Purchase Support Department can also assist with selecting properties based on price range. In addition, the Housing Purchase Support Department can also assist with contract drafting during the contract procedures. As a result, the Housing Purchase Support Department can efficiently support property selection and contract procedures during the home purchase process.

[0038] The generation unit provides the most effective advice and best practices based on past data and the experiences of other users. For example, it can provide optimal theme selection and venue booking methods based on past wedding data. It can also provide optimal body handling methods and funeral home selection methods based on past funeral data. Furthermore, it can provide optimal evacuation plans and emergency kit preparation methods based on past disaster response data. For example, it can provide optimal theme selection based on past wedding data. It can also provide optimal venue booking methods based on past wedding data. Furthermore, it can provide optimal body handling methods based on past funeral data. In this way, the generation unit can help users navigate life events more smoothly by providing the most effective advice and best practices based on past data and the experiences of other users.

[0039] The command center provides solutions to potential problems that may arise during each event or emergency. For example, the command center can provide solutions to unexpected problems that may occur during wedding preparations. It can also provide solutions to unexpected problems that may occur during funerals. Furthermore, the command center can provide solutions to unexpected problems that may occur during disaster response. In this way, the command center enables users to respond quickly by providing solutions to potential problems that may occur during each event or emergency.

[0040] The management department tracks the progress of each event and provides reminders for easily overlooked small tasks. For example, in wedding preparations, the management department can track the progress and provide reminders for easily overlooked small tasks. The management department can also track the progress and provide reminders for funerals. Furthermore, the management department can track the progress and provide reminders for disaster response. This allows the management department to efficiently manage tasks by tracking the progress of each event and providing reminders for easily overlooked small tasks.

[0041] The management department analyzes past event data and proposes optimal task management methods. For example, the management department analyzes past wedding data to propose the most efficient preparation schedule. It can also analyze past funeral data to optimize necessary procedures. Furthermore, the management department can analyze past disaster response data to suggest improvements to evacuation plans. In this way, by analyzing past event data, the management department can propose optimal task management methods, enabling users to efficiently manage their tasks.

[0042] The management department automatically reallocates tasks according to the progress of each life event. For example, if wedding preparations are behind schedule, the management department will prioritize them and postpone other tasks. It can also automatically suggest the next steps if funeral arrangements are progressing. Furthermore, the management department can dynamically update evacuation plans according to the progress of disaster response. This allows users to efficiently manage tasks by automatically reallocating tasks according to the progress of each life event.

[0043] The administration department adds region-specific tasks, taking into account the user's geographical location. For example, if a user is in a specific region, the administration department may add tasks based on the local wedding customs. It may also add tasks based on the local funeral procedures. Furthermore, it may add tasks based on the local disaster response plan if the user is in a specific region. This allows the administration department to add region-specific tasks, taking the user's geographical location into consideration, enabling users to complete tasks efficiently.

[0044] The management department analyzes users' social media activity and automatically generates relevant tasks. For example, if a user shares wedding preparations on social media, the management department will automatically generate relevant tasks. It can also automatically generate relevant tasks if a user shares funeral arrangements on social media. Furthermore, it can automatically generate relevant tasks if a user shares disaster response information on social media. This allows the management department to analyze users' social media activity, automatically generate relevant tasks, and enable users to efficiently complete those tasks.

[0045] The instruction unit selects the most appropriate instructions by referring to the user's past behavioral history when providing instructions. For example, the instruction unit can provide instructions based on the user's past wedding preparation procedures. It can also provide instructions based on the user's past funeral procedures. Furthermore, the instruction unit can provide instructions based on the user's past disaster response procedures. By referring to the user's past behavioral history, the instruction unit can select the most appropriate instructions, allowing the user to efficiently complete tasks.

[0046] The instruction unit customizes the instructions provided based on the user's current situation. For example, if the user is preparing for a wedding, the instruction unit will provide instructions tailored to their current progress. Similarly, if the user is arranging a funeral, the instruction unit can provide instructions tailored to their current progress. Furthermore, if the user is responding to a disaster, the instruction unit can provide instructions tailored to their current situation. This allows the instruction unit to customize instructions based on the user's current situation, enabling the user to efficiently complete tasks.

[0047] The instruction unit selects the optimal display method when providing instructions, taking into account the user's device information. For example, if the user is using a smartphone, the instruction unit provides a display method that matches the screen size. Furthermore, if the user is using a tablet, the instruction unit can also provide a display method optimized for larger screens. Additionally, if the user is using a smartwatch, the instruction unit can provide a concise and highly visible display method. This allows the user to efficiently receive instructions by selecting the optimal display method based on the user's device information.

[0048] The instruction unit analyzes the user's schedule when providing instructions and delivers them at the optimal time. For example, the instruction unit can provide instructions at the optimal time for wedding preparations based on the user's schedule. It can also provide instructions at the optimal time for funeral arrangements based on the user's schedule. Furthermore, the instruction unit can provide instructions at the optimal time for disaster response based on the user's schedule. By analyzing the user's schedule, the instruction unit can provide instructions at the optimal time, allowing the user to efficiently complete tasks.

[0049] The generation unit automatically generates the most suitable documents by referencing past data during the generation process. For example, the generation unit can automatically generate the most suitable invitations by referencing past wedding data. It can also automatically generate necessary documents by referencing past funeral data. Furthermore, the generation unit can automatically generate evacuation plans by referencing past disaster response data. In this way, the generation unit automatically generates the most suitable documents by referencing past data, enabling users to utilize the documents efficiently.

[0050] The generation unit customizes the document content according to the user's current situation during generation. For example, if the user is preparing for a wedding, the generation unit will generate an invitation that reflects the current progress. Similarly, if the user is arranging a funeral, the generation unit can generate necessary documents that reflect the current progress. Furthermore, if the user is responding to a disaster, the generation unit can generate an evacuation plan that reflects the current situation. In this way, the generation unit customizes the document content according to the user's current situation, enabling users to utilize documents efficiently.

[0051] The generation unit generates region-specific documents by considering the user's geographical location during the generation process. For example, if the user is in a specific region, the generation unit will generate an invitation based on the wedding customs of that region. It can also generate necessary documents based on the funeral procedures of that region. Furthermore, if the user is in a specific region, the generation unit can generate an evacuation plan based on the disaster response plan of that region. By generating region-specific documents that take the user's geographical location into consideration, the generation unit enables users to efficiently utilize the documents.

[0052] The generation unit analyzes the user's social media activity during the generation process and automatically generates relevant documents. For example, if a user shares wedding preparations on social media, the generation unit will automatically generate relevant invitations. It can also automatically generate necessary documents if a user shares funeral arrangements on social media. Furthermore, if a user shares disaster response information on social media, the generation unit can automatically generate relevant evacuation plans. In this way, the generation unit analyzes the user's social media activity to automatically generate relevant documents, enabling users to efficiently utilize those documents.

[0053] The Wedding Support Department analyzes past wedding data to propose the most suitable venue. For example, based on past wedding data, the Wedding Support Department can suggest popular venues. Furthermore, based on past wedding data, the Wedding Support Department can also suggest venues that fit within the budget. In addition, based on past wedding data, the Wedding Support Department can also suggest venues that meet the user's specific preferences. This allows the Wedding Support Department to propose the most suitable venue by analyzing past wedding data, enabling users to efficiently proceed with their wedding preparations.

[0054] The wedding support department takes the user's geographical location into consideration and proposes region-specific wedding plans. For example, if the user is in a specific region, the wedding support department will propose a wedding plan based on the traditions of that region. Furthermore, if the user is in a specific region, the wedding support department can also propose popular wedding plans in that region. In addition, if the user is in a specific region, the wedding support department can also propose wedding plans based on the customs of that region. This allows the wedding support department to propose region-specific wedding plans that take the user's geographical location into consideration, enabling the user to efficiently proceed with wedding preparations.

[0055] The funeral support department analyzes past funeral data and proposes the most suitable funeral service procedures. For example, the funeral support department can propose general funeral service procedures based on past funeral data. Furthermore, the funeral support department can also propose funeral service procedures tailored to specific religions and cultures based on past funeral data. In addition, the funeral support department can also propose funeral service procedures tailored to specific budgets based on past funeral data. This allows the funeral support department to propose the most suitable funeral service procedures by analyzing past funeral data, enabling users to efficiently proceed with funeral preparations.

[0056] The funeral support department takes the user's geographical location into consideration and proposes region-specific funeral plans. For example, if the user is in a specific region, the funeral support department will propose a funeral plan based on the traditions of that region. Furthermore, if the user is in a specific region, the funeral support department can also propose popular funeral plans in that region. In addition, if the user is in a specific region, the funeral support department can also propose funeral plans based on the customs of that region. This allows the funeral support department to propose region-specific funeral plans that take the user's geographical location into consideration, enabling the user to proceed with funeral preparations efficiently.

[0057] The Disaster Response Support Department analyzes past disaster data and proposes the most suitable emergency kit. For example, based on past disaster data, the Disaster Response Support Department can propose a general emergency kit. Furthermore, based on past disaster data, the Disaster Response Support Department can also propose a region-specific emergency kit. In addition, based on past disaster data, the Disaster Response Support Department can also propose an emergency kit tailored to the family structure. By analyzing past disaster data, the Disaster Response Support Department can propose the most suitable emergency kit, enabling users to efficiently proceed with disaster response.

[0058] The disaster response support department proposes region-specific evacuation plans, taking into account the user's geographical location. For example, if a user is in a specific area, the disaster response support department will propose an evacuation plan for that area. Furthermore, if a user is in a specific area, the disaster response support department can also suggest evacuation shelters for that area. In addition, if a user is in a specific area, the disaster response support department can also suggest evacuation routes for that area. This allows the disaster response support department to propose region-specific evacuation plans that take the user's geographical location into account, enabling users to efficiently proceed with their evacuation plans.

[0059] The Moving Support Department analyzes past moving data and proposes the optimal packing method. For example, based on past moving data, the Moving Support Department can propose efficient packing methods. Furthermore, based on past moving data, the Moving Support Department can propose time-saving packing methods. In addition, based on past moving data, the Moving Support Department can propose stress-reducing packing methods. By analyzing past moving data, the Moving Support Department can propose the optimal packing method, enabling users to efficiently prepare for their move.

[0060] The Moving Support Department proposes region-specific moving plans, taking into account the user's geographical location. For example, if the user is in a specific region, the Moving Support Department will propose a moving plan for that region. Furthermore, if the user is in a specific region, the Moving Support Department can also suggest moving companies in that region. In addition, if the user is in a specific region, the Moving Support Department can also suggest moving procedures for that region. This allows the Moving Support Department to propose region-specific moving plans, taking into account the user's geographical location, enabling the user to efficiently proceed with their moving preparations.

[0061] The Housing Purchase Support Department analyzes past housing purchase data and proposes the optimal contract procedures. For example, based on past housing purchase data, the Housing Purchase Support Department can propose efficient contract procedures. Furthermore, based on past housing purchase data, the Housing Purchase Support Department can propose time-saving contract procedures. In addition, based on past housing purchase data, the Housing Purchase Support Department can propose time-saving contract procedures. Furthermore, based on past housing purchase data, the Housing Purchase Support Department can propose stress-reducing contract procedures. In this way, by analyzing past housing purchase data, the Housing Purchase Support Department can propose the optimal contract procedures, enabling users to efficiently proceed with their housing purchase preparations.

[0062] The Housing Purchase Support Department proposes region-specific housing purchase plans, taking into account the user's geographical location. For example, if the user is in a specific region, the Housing Purchase Support Department will propose a housing purchase plan for that region. Furthermore, if the user is in a specific region, the Housing Purchase Support Department can also suggest a real estate agent in that region. In addition, if the user is in a specific region, the Housing Purchase Support Department can also suggest a mortgage application process for that region. By doing so, the Housing Purchase Support Department can propose region-specific housing purchase plans, taking into account the user's geographical location, enabling the user to efficiently proceed with their housing purchase preparations.

[0063] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0064] The life event support system can propose region-specific event plans by taking into account the user's geographical location. For example, if the user is in a specific region, it can propose a plan based on the local wedding customs. It can also propose a plan based on the local funeral procedures. Furthermore, if the user is in a specific region, it can propose a plan based on the local disaster response plan. In this way, the life event support system can help users efficiently manage events by proposing region-specific event plans that take their geographical location into account.

[0065] The life event support system can analyze a user's social media activity and automatically generate relevant tasks. For example, if a user shares wedding preparations on social media, it can automatically generate relevant tasks. It can also automatically generate relevant tasks if a user shares funeral arrangements on social media. Furthermore, if a user shares disaster response information on social media, it can automatically generate relevant tasks. In this way, the life event support system analyzes a user's social media activity, automatically generates relevant tasks, and enables the user to efficiently manage those tasks.

[0066] A life event support system can analyze past event data and suggest the optimal task management method. For example, it can analyze past wedding data to suggest the most efficient preparation schedule. It can also analyze past funeral data to optimize the necessary procedures. Furthermore, it can analyze past disaster response data to suggest improvements to evacuation plans. In this way, the life event support system can analyze past event data to suggest the optimal task management method, allowing users to efficiently manage their tasks.

[0067] The life event support system can automatically rearrange tasks according to the user's current situation. For example, if wedding preparations are behind schedule, it will prioritize them and postpone other tasks. It can also automatically suggest the next steps if funeral arrangements are progressing. Furthermore, it can dynamically update evacuation plans based on the progress of disaster response. In this way, the life event support system allows users to efficiently manage tasks by automatically rearranging them according to the progress of each life event.

[0068] The life event support system can select the optimal display method considering the user's device information. For example, if the user is using a smartphone, it can provide a display method adapted to the screen size. If the user is using a tablet, it can provide a display method optimized for the larger screen. Furthermore, if the user is using a smartwatch, it can provide a concise and highly visible display method. This allows the life event support system to efficiently receive instructions by selecting the optimal display method based on the user's device information.

[0069] The following briefly describes the processing flow for example form 1.

[0070] Step 1: The management department manages the procedures and tasks for each life event. For example, in wedding preparations, they manage tasks such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. In funerals, they manage tasks such as body handling, funeral home selection, scheduling, and funeral service procedures. Furthermore, in disaster response, they manage tasks such as creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. Step 2: The instruction unit provides users with precise instructions based on procedures and tasks managed by the management unit. For example, in wedding preparations, it provides instructions for theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. In funerals, it provides instructions for body placement, funeral home selection, scheduling, and funeral service procedures. Furthermore, in disaster response, it provides instructions for creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. Step 3: The generation unit generates specific procedures and necessary documents based on the instructions provided by the instruction unit. For example, in wedding preparations, it generates procedures and documents such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. In funerals, it generates procedures and documents such as body placement, funeral home selection, scheduling, and funeral service procedures. Furthermore, in disaster response, it generates procedures and documents such as evacuation plan creation, emergency kit preparation, and provision of real-time emergency alerts and evacuation information.

[0071] (Example of form 2) The life event support system according to an embodiment of the present invention is a system that comprehensively supports the procedures and preparations for important life events such as weddings, funerals, and emergencies. This life event support system manages the procedures and tasks necessary for a wide range of life events, such as weddings, funerals, disaster response, moving, and home purchases, and provides users with precise instructions. Utilizing generative AI, it assists users in smoothly managing specific procedures, necessary documents, contacts, budget management, and priority tasks for various life events they face. It also provides solutions for potential problems that may arise during each event or emergency. Based on past data and the experiences of other users, it presents the most effective advice and best practices. For example, in wedding preparations, it fully supports all tasks, from theme selection and venue booking to catering arrangements, photographer selection, and invitation creation. Furthermore, it tracks expenditures using a budget management function and issues alerts to prevent budget overruns. It also provides a detailed schedule for the day and troubleshooting measures to support the smooth running of the wedding. Next, for funerals, we provide detailed guidance on all necessary steps, from placing the body in mortuary to selecting a funeral home, scheduling, and conducting the memorial service. We also provide support by preparing necessary documents and providing legal information to ensure nothing is overlooked. Furthermore, we manage a centralized list of relatives and friends who need to be contacted urgently, automating communication and notification tasks related to the funeral. In the event of unexpected problems, we also provide real-time support. For disaster response, we provide multifaceted support, from creating evacuation plans for home and work, to preparing emergency kits, and providing real-time emergency alerts and evacuation information. We have functions to confirm the safety of all family members and manage contact information, creating a system that can respond quickly in emergencies. We also provide health management and survival guides during evacuation, supporting even long-term evacuation life. For moving, we manage tasks in detail, from pre-move preparations to moving to the new home, selecting a moving company, packing belongings, and greeting neighbors, supporting an efficient move. We automatically generate necessary procedures and task lists to ensure a smooth transition to life in the new home. We track the progress of the move and provide reminders for small tasks that are easily forgotten.Finally, the system supports the entire home purchase process, from property selection and contract procedures to loan application and handover. It meticulously manages many steps, including communication with real estate agents, mortgage application review, and preparation of contract documents, and tracks progress. Furthermore, it provides information that buyers should know and advice based on the experiences of other buyers. In this way, the life event support system can efficiently manage the procedures and tasks of various life events that users face, provide precise instructions, and generate necessary documents.

[0072] The life event support system according to this embodiment comprises a management unit, an instruction unit, and a generation unit. The management unit manages procedures and tasks for each life event. For example, in wedding preparations, the management unit manages tasks such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. The management unit can also manage tasks in funerals, such as body placement, funeral home selection, scheduling, and funeral service procedures. Furthermore, the management unit can manage tasks in disaster response, such as creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. For example, in wedding preparations, the management unit supports theme selection and venue booking. The management unit can also support body placement and funeral home selection in funerals. Furthermore, the management unit can also support evacuation plans and emergency kit preparation in disaster response. The instruction unit provides accurate instructions to the user based on the procedures and tasks managed by the management unit. The instruction unit provides instructions for wedding preparations, such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. It can also provide instructions for funerals, such as body placement, funeral home selection, scheduling, and funeral service procedures. Furthermore, it can provide instructions for disaster response, such as evacuation plan creation, emergency kit preparation, and real-time emergency alerts and evacuation information. For example, the instruction unit supports wedding preparations, such as theme selection and venue booking. It can also support funeral preparations, such as body placement and funeral home selection. Furthermore, it can also support disaster response, such as evacuation plan creation and emergency kit preparation. The generation unit generates specific procedures and necessary documents based on the instructions provided by the instruction unit. For example, the generation unit generates procedures and documents for wedding preparations, such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. Furthermore, the generation unit can also generate procedures and documents for funerals, such as those related to the placement of the body, selection of a funeral home, scheduling, and the procedures for the funeral service.Furthermore, the generation unit can also generate procedures and documents for disaster response, such as creating evacuation plans, preparing emergency supply kits, and providing real-time emergency alerts and evacuation information. For example, the generation unit can support wedding preparations, such as theme selection and venue booking. It can also support funeral arrangements, such as body storage and funeral home selection. Moreover, the generation unit can support disaster response, such as creating evacuation plans and preparing emergency supply kits. As a result, the life event support system according to this embodiment can efficiently manage procedures and tasks for each life event, provide accurate instructions to the user, and generate necessary documents.

[0073] The management department manages the procedures and tasks for each life event. Specifically, in wedding preparations, it meticulously manages tasks such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. The management department maintains a database for centralized management of these tasks, allowing for real-time updates of each task's progress, assigned personnel, and deadlines. For example, when selecting a wedding theme, it proposes multiple themes based on the user's preferences and budget, and lists the necessary items and services for each theme. When booking a venue, it gathers information on the availability, price, and facilities of potential venues to provide the user with the best option. For catering arrangements, it handles menu selection, scheduling of tasting sessions, and confirmation of contract details. When selecting a photographer, it compares past work, ratings, and pricing plans to choose the photographer that best suits the user's needs. For invitation creation, it manages everything from design selection to printing and mailing arrangements. In funerals, it manages tasks such as body placement, funeral home selection, scheduling, and funeral service procedures. For handling the deceased's body, the team selects an appropriate location and method and supports the necessary procedures. For selecting a funeral home, they compare the services and fees of multiple funeral homes to choose the most suitable one. For scheduling, they coordinate the schedules of those involved and determine the date and time of the funeral service. For funeral service procedures, they meticulously manage the progress of the service, the arrangement of necessary items, and the guidance of attendees. In disaster response, they manage tasks such as creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. When creating evacuation plans, they consider regional characteristics and past disaster history to determine the optimal evacuation routes and locations. For preparing emergency kits, they create a list of necessary items and conduct regular checks and replenishments. For providing real-time emergency alerts and evacuation information, they collect weather and disaster information and promptly notify users. This allows the management department to efficiently manage procedures and tasks for each life event, providing users with peace of mind.

[0074] The Instructions Department provides users with precise instructions based on procedures and tasks managed by the Management Department. Specifically, in wedding preparations, it provides instructions for theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. The Instructions Department can issue instructions at the optimal time according to the user's preferences and schedule. For example, when selecting a theme, it proposes multiple themes to the user and explains the advantages and disadvantages of each. When booking a venue, it checks the availability and prices of candidate venues in real time and supports the booking process. When arranging catering, it selects menus and adjusts the schedule for tasting sessions, providing users with the best options. When selecting a photographer, it suggests the most suitable photographer to the user based on past work and ratings. When creating invitations, it supports design selection, printing, and mailing arrangements, providing users with precise instructions. In funerals, it provides instructions from body placement to funeral home selection, scheduling, and funeral service procedures. When placing the body, it selects an appropriate location and method and supports the necessary procedures. In selecting a funeral home, the system provides instructions for comparing the services and fees of multiple funeral homes to choose the most suitable one. For scheduling, it provides instructions for coordinating the schedules of those involved and determining the date and time of the funeral service. For funeral service procedures, it provides detailed instructions for the progress of the service, arranging necessary items, and informing attendees. In disaster response, it provides instructions for creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. For creating evacuation plans, it provides instructions for setting optimal evacuation routes and locations, taking into account regional characteristics and past disaster history. For preparing emergency kits, it provides instructions for creating a list of necessary items and for regular inspections and replenishment. For providing real-time emergency alerts and evacuation information, it provides instructions for collecting weather information and disaster occurrence information and promptly notifying users. This allows the instruction unit to provide accurate instructions to users, enabling the smooth progress of procedures and tasks in each life event.

[0075] The generation unit generates specific procedures and necessary documents based on instructions provided by the instruction unit. Specifically, in wedding preparations, it generates procedures and documents for theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. Based on user input and selections, the generation unit can automatically generate detailed procedure manuals and checklists necessary for each task. For example, in theme selection, it generates a list of necessary decoration items and services based on the selected theme. For venue booking, it automatically generates and provides the user with a booking confirmation and contract. For catering arrangements, it generates an arrangement document including menu details and a tasting schedule. For photographer selection, it generates and provides the user with a contract and shooting schedule. For invitation creation, it automatically generates the layout and text of the invitation based on a design template and creates print-ready data. In funerals, it generates procedures and documents for body placement, funeral home selection, scheduling, and funeral service procedures. For body placement, it automatically generates and provides the user with the necessary procedures and documents. For selecting a funeral home, the system generates documents including contracts and detailed service descriptions. For scheduling, it generates a schedule to coordinate the schedules of those involved. For funeral service procedures, it generates detailed instructions regarding the progress of the service and the arrangement of necessary items. For disaster response, it generates procedures and documents such as creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. For creating evacuation plans, it generates detailed plans for evacuation routes and locations that take into account regional characteristics and past disaster history. For preparing emergency kits, it generates lists of necessary items and inspection schedules. For providing real-time emergency alerts and evacuation information, it generates notification letters and evacuation orders based on the latest information. In this way, the generation unit can quickly provide users with specific procedures and necessary documents, enabling the smooth progress of procedures and tasks in each life event.

[0076] The Wedding Support Department assists with wedding preparations, including theme selection and venue booking. For example, it can help with theme selection, such as color and style selection. Furthermore, it can assist with venue booking, providing information and timing. This allows the Wedding Support Department to efficiently support wedding preparations, including theme selection and venue booking.

[0077] The Funeral Support Department provides support for funeral arrangements, including body reclamation and the selection of a funeral home. For example, the Funeral Support Department assists in selecting a location and method of body reclamation. Furthermore, the Funeral Support Department can also assist in selecting a funeral home by providing information on fees and services. This allows the Funeral Support Department to efficiently support funeral arrangements and the selection of a funeral home.

[0078] The Disaster Response Support Department provides support in disaster response, including assistance in creating evacuation plans and preparing emergency supply kits. For example, in creating evacuation plans, the Disaster Response Support Department can assist in selecting evacuation routes and locations. Furthermore, in preparing emergency supply kits, the Disaster Response Support Department can also assist in preparing food, water, and medicine. For instance, in creating evacuation plans, the Disaster Response Support Department can assist in selecting evacuation routes. Furthermore, the Disaster Response Support Department can also assist in selecting evacuation locations. In addition, the Disaster Response Support Department can assist in preparing emergency supply kits, including preparing food. This allows the Disaster Response Support Department to efficiently support disaster response by assisting in the creation of evacuation plans and the preparation of emergency supply kits.

[0079] The Moving Support Department provides support for moving, from pre-move preparations to the move to your new home. For example, during pre-move preparations, the Moving Support Department can assist with packing belongings and changing your address. Furthermore, during the move to your new home, the Moving Support Department can also assist with arranging moving companies and managing the moving schedule. In this way, the Moving Support Department can efficiently support both pre-move preparations and the move to your new home.

[0080] The Housing Purchase Support Department provides support for property selection and contract procedures during the home purchase process. For example, the Housing Purchase Support Department can assist with selecting properties based on location and price range. Furthermore, the Housing Purchase Support Department can also assist with contract drafting and preparation of necessary documents during the contract procedures. For example, the Housing Purchase Support Department can assist with selecting properties based on location. Furthermore, the Housing Purchase Support Department can also assist with selecting properties based on price range. In addition, the Housing Purchase Support Department can also assist with contract drafting during the contract procedures. As a result, the Housing Purchase Support Department can efficiently support property selection and contract procedures during the home purchase process.

[0081] The generation unit provides the most effective advice and best practices based on past data and the experiences of other users. For example, it can provide optimal theme selection and venue booking methods based on past wedding data. It can also provide optimal body handling methods and funeral home selection methods based on past funeral data. Furthermore, it can provide optimal evacuation plans and emergency kit preparation methods based on past disaster response data. For example, it can provide optimal theme selection based on past wedding data. It can also provide optimal venue booking methods based on past wedding data. Furthermore, it can provide optimal body handling methods based on past funeral data. In this way, the generation unit can help users navigate life events more smoothly by providing the most effective advice and best practices based on past data and the experiences of other users.

[0082] The command center provides solutions to potential problems that may arise during each event or emergency. For example, the command center can provide solutions to unexpected problems that may occur during wedding preparations. It can also provide solutions to unexpected problems that may occur during funerals. Furthermore, the command center can provide solutions to unexpected problems that may occur during disaster response. In this way, the command center enables users to respond quickly by providing solutions to potential problems that may occur during each event or emergency.

[0083] The management department tracks the progress of each event and provides reminders for easily overlooked small tasks. For example, in wedding preparations, the management department can track the progress and provide reminders for easily overlooked small tasks. The management department can also track the progress and provide reminders for funerals. Furthermore, the management department can track the progress and provide reminders for disaster response. This allows the management department to efficiently manage tasks by tracking the progress of each event and providing reminders for easily overlooked small tasks.

[0084] The management department estimates the user's emotions and dynamically changes task priorities based on the estimated emotions. For example, if the user is stressed, the management department will prioritize important tasks to reduce their burden. If the user is relaxed, the management department can also prioritize long-term tasks and proceed systematically. Furthermore, if the user is in a hurry, the management department can prioritize urgent tasks and respond quickly. This allows the management department to reduce the user's burden and efficiently manage tasks by dynamically changing task priorities based on the user's emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0085] The management department analyzes past event data and proposes optimal task management methods. For example, the management department analyzes past wedding data to propose the most efficient preparation schedule. It can also analyze past funeral data to optimize necessary procedures. Furthermore, the management department can analyze past disaster response data to suggest improvements to evacuation plans. In this way, by analyzing past event data, the management department can propose optimal task management methods, enabling users to efficiently manage their tasks.

[0086] The management department automatically reallocates tasks according to the progress of each life event. For example, if wedding preparations are behind schedule, the management department will prioritize them and postpone other tasks. It can also automatically suggest the next steps if funeral arrangements are progressing. Furthermore, the management department can dynamically update evacuation plans according to the progress of disaster response. This allows users to efficiently manage tasks by automatically reallocating tasks according to the progress of each life event.

[0087] The management department estimates the user's emotions and adjusts the timing of task notifications based on the estimated emotions. For example, if the user is stressed, the management department may delay notifications to give them time to relax. Conversely, if the user is relaxed, the management department may advance notifications to allow for planned task progress. Furthermore, if the user is in a hurry, the management department may provide immediate notifications to encourage a quick response. In this way, the management department can enable users to efficiently complete tasks by adjusting the timing of task notifications based on their emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0088] The administration department adds region-specific tasks, taking into account the user's geographical location. For example, if a user is in a specific region, the administration department may add tasks based on the local wedding customs. It may also add tasks based on the local funeral procedures. Furthermore, it may add tasks based on the local disaster response plan if the user is in a specific region. This allows the administration department to add region-specific tasks, taking the user's geographical location into consideration, enabling users to complete tasks efficiently.

[0089] The management department analyzes users' social media activity and automatically generates relevant tasks. For example, if a user shares wedding preparations on social media, the management department will automatically generate relevant tasks. It can also automatically generate relevant tasks if a user shares funeral arrangements on social media. Furthermore, it can automatically generate relevant tasks if a user shares disaster response information on social media. This allows the management department to analyze users' social media activity, automatically generate relevant tasks, and enable users to efficiently complete those tasks.

[0090] The instruction unit estimates the user's emotions and adjusts the way instructions are expressed based on the estimated emotions. For example, if the user is nervous, the instruction unit will provide instructions in a calm manner. It can also provide instructions in a friendly manner if the user is relaxed. Furthermore, if the user is in a hurry, the instruction unit can provide instructions in a concise and rapid manner. This allows the instruction unit to adjust the way instructions are expressed based on the user's emotions, enabling the user to complete tasks efficiently. Emotion estimation is achieved using emotion estimation functions, 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.

[0091] The instruction unit selects the most appropriate instructions by referring to the user's past behavioral history when providing instructions. For example, the instruction unit can provide instructions based on the user's past wedding preparation procedures. It can also provide instructions based on the user's past funeral procedures. Furthermore, the instruction unit can provide instructions based on the user's past disaster response procedures. By referring to the user's past behavioral history, the instruction unit can select the most appropriate instructions, allowing the user to efficiently complete tasks.

[0092] The instruction unit customizes the instructions provided based on the user's current situation. For example, if the user is preparing for a wedding, the instruction unit will provide instructions tailored to their current progress. Similarly, if the user is arranging a funeral, the instruction unit can provide instructions tailored to their current progress. Furthermore, if the user is responding to a disaster, the instruction unit can provide instructions tailored to their current situation. This allows the instruction unit to customize instructions based on the user's current situation, enabling the user to efficiently complete tasks.

[0093] The instruction unit estimates the user's emotions and prioritizes instructions based on those emotions. For example, if the user is stressed, the instruction unit will provide important instructions first. It can also prioritize long-term instructions if the user is relaxed. Furthermore, if the user is in a hurry, the instruction unit can prioritize urgent instructions. This allows the instruction unit to prioritize instructions based on the user's emotions, enabling the user to complete tasks efficiently. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0094] The instruction unit selects the optimal display method when providing instructions, taking into account the user's device information. For example, if the user is using a smartphone, the instruction unit provides a display method that matches the screen size. Furthermore, if the user is using a tablet, the instruction unit can also provide a display method optimized for larger screens. Additionally, if the user is using a smartwatch, the instruction unit can provide a concise and highly visible display method. This allows the user to efficiently receive instructions by selecting the optimal display method based on the user's device information.

[0095] The instruction unit analyzes the user's schedule when providing instructions and delivers them at the optimal time. For example, the instruction unit can provide instructions at the optimal time for wedding preparations based on the user's schedule. It can also provide instructions at the optimal time for funeral arrangements based on the user's schedule. Furthermore, the instruction unit can provide instructions at the optimal time for disaster response based on the user's schedule. By analyzing the user's schedule, the instruction unit can provide instructions at the optimal time, allowing the user to efficiently complete tasks.

[0096] The generation unit estimates the user's emotions and adjusts the format of the generated document based on the estimated emotions. For example, if the user is nervous, the generation unit generates a simple and highly legible format. If the user is relaxed, the generation unit can also generate a format that includes detailed information. Furthermore, if the user is in a hurry, the generation unit can generate a format that gets straight to the point. In this way, the generation unit allows the user to use the document efficiently by adjusting the document format based on the user's emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0097] The generation unit automatically generates the most suitable documents by referencing past data during the generation process. For example, the generation unit can automatically generate the most suitable invitations by referencing past wedding data. It can also automatically generate necessary documents by referencing past funeral data. Furthermore, the generation unit can automatically generate evacuation plans by referencing past disaster response data. In this way, the generation unit automatically generates the most suitable documents by referencing past data, enabling users to utilize the documents efficiently.

[0098] The generation unit customizes the document content according to the user's current situation during generation. For example, if the user is preparing for a wedding, the generation unit will generate an invitation that reflects the current progress. Similarly, if the user is arranging a funeral, the generation unit can generate necessary documents that reflect the current progress. Furthermore, if the user is responding to a disaster, the generation unit can generate an evacuation plan that reflects the current situation. In this way, the generation unit customizes the document content according to the user's current situation, enabling users to utilize documents efficiently.

[0099] The generation unit estimates the user's emotions and determines the priority of documents to generate based on the estimated emotions. For example, if the user is stressed, the generation unit will generate important documents first. It can also prioritize long-term documents if the user is relaxed. Furthermore, if the user is in a hurry, the generation unit can prioritize urgent documents. This allows the generation unit to prioritize documents based on the user's emotions, enabling the user to use documents efficiently. Emotion estimation is achieved using emotion estimation functions, such as an emotion engine or generation AI. Generation AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0100] The generation unit generates region-specific documents by considering the user's geographical location during the generation process. For example, if the user is in a specific region, the generation unit will generate an invitation based on the wedding customs of that region. It can also generate necessary documents based on the funeral procedures of that region. Furthermore, if the user is in a specific region, the generation unit can generate an evacuation plan based on the disaster response plan of that region. By generating region-specific documents that take the user's geographical location into consideration, the generation unit enables users to efficiently utilize the documents.

[0101] The generation unit analyzes the user's social media activity during the generation process and automatically generates relevant documents. For example, if a user shares wedding preparations on social media, the generation unit will automatically generate relevant invitations. It can also automatically generate necessary documents if a user shares funeral arrangements on social media. Furthermore, if a user shares disaster response information on social media, the generation unit can automatically generate relevant evacuation plans. In this way, the generation unit analyzes the user's social media activity to automatically generate relevant documents, enabling users to efficiently utilize those documents.

[0102] The wedding support team estimates the user's emotions and provides theme selection advice based on those emotions. For example, if the user is relaxed, the wedding support team will suggest a casual theme. If the user is nervous, the wedding support team can suggest a calm theme. Furthermore, if the user is excited, the wedding support team can suggest a glamorous theme. This allows the wedding support team to provide theme selection advice based on the user's emotions, enabling the user to proceed with wedding preparations efficiently. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0103] The Wedding Support Department analyzes past wedding data to propose the most suitable venue. For example, based on past wedding data, the Wedding Support Department can suggest popular venues. Furthermore, based on past wedding data, the Wedding Support Department can also suggest venues that fit within the budget. In addition, based on past wedding data, the Wedding Support Department can also suggest venues that meet the user's specific preferences. This allows the Wedding Support Department to propose the most suitable venue by analyzing past wedding data, enabling users to efficiently proceed with their wedding preparations.

[0104] The wedding support department estimates the user's emotions and suggests invitation designs based on those emotions. For example, if the user is relaxed, the wedding support department will suggest a casual design. If the user is nervous, the wedding support department can suggest a calm design. Furthermore, if the user is excited, the wedding support department can suggest a glamorous design. In this way, by suggesting invitation designs based on the user's emotions, the wedding support department can help the user efficiently proceed with wedding preparations. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0105] The wedding support department takes the user's geographical location into consideration and proposes region-specific wedding plans. For example, if the user is in a specific region, the wedding support department will propose a wedding plan based on the traditions of that region. Furthermore, if the user is in a specific region, the wedding support department can also propose popular wedding plans in that region. In addition, if the user is in a specific region, the wedding support department can also propose wedding plans based on the customs of that region. This allows the wedding support department to propose region-specific wedding plans that take the user's geographical location into consideration, enabling the user to efficiently proceed with wedding preparations.

[0106] The funeral support department estimates the user's emotions and supports the selection of a funeral home based on those estimated emotions. For example, if the user is grieving, the funeral support department will suggest a funeral home that will provide compassionate support. If the user is confused, the funeral support department can also suggest a funeral home with simple procedures. Furthermore, if the user is calm, the funeral support department can also suggest a funeral home that will provide detailed explanations. In this way, the funeral support department can support the selection of a funeral home based on the user's emotions, allowing the user to proceed with funeral preparations efficiently. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0107] The funeral support department analyzes past funeral data and proposes the most suitable funeral service procedures. For example, the funeral support department can propose general funeral service procedures based on past funeral data. Furthermore, the funeral support department can also propose funeral service procedures tailored to specific religions and cultures based on past funeral data. In addition, the funeral support department can also propose funeral service procedures tailored to specific budgets based on past funeral data. This allows the funeral support department to propose the most suitable funeral service procedures by analyzing past funeral data, enabling users to efficiently proceed with funeral preparations.

[0108] The funeral support department estimates the user's emotions and supports the preparation of necessary documents based on those emotions. For example, if the user is grieving, the funeral support department will suggest an easy-to-understand method for preparing the documents. If the user is confused, the funeral support department can also provide a step-by-step guide. Furthermore, if the user is calm, the funeral support department can provide a detailed explanation. This allows the funeral support department to support the preparation of necessary documents based on the user's emotions, enabling the user to proceed with funeral preparations efficiently. Emotion estimation is achieved using emotion estimation functions, 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.

[0109] The funeral support department takes the user's geographical location into consideration and proposes region-specific funeral plans. For example, if the user is in a specific region, the funeral support department will propose a funeral plan based on the traditions of that region. Furthermore, if the user is in a specific region, the funeral support department can also propose popular funeral plans in that region. In addition, if the user is in a specific region, the funeral support department can also propose funeral plans based on the customs of that region. This allows the funeral support department to propose region-specific funeral plans that take the user's geographical location into consideration, enabling the user to proceed with funeral preparations efficiently.

[0110] The disaster response support unit estimates the user's emotions and customizes the evacuation plan based on those emotions. For example, if the user is anxious, the disaster response support unit provides a simple and easy-to-understand evacuation plan. If the user is relaxed, the disaster response support unit can also provide a detailed evacuation plan. Furthermore, if the user is in a hurry, the disaster response support unit can provide a plan that allows for rapid evacuation. In this way, the disaster response support unit can customize the evacuation plan based on the user's emotions, enabling the user to proceed with the evacuation plan efficiently. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0111] The Disaster Response Support Department analyzes past disaster data and proposes the most suitable emergency kit. For example, based on past disaster data, the Disaster Response Support Department can propose a general emergency kit. Furthermore, based on past disaster data, the Disaster Response Support Department can also propose a region-specific emergency kit. In addition, based on past disaster data, the Disaster Response Support Department can also propose an emergency kit tailored to the family structure. By analyzing past disaster data, the Disaster Response Support Department can propose the most suitable emergency kit, enabling users to efficiently proceed with disaster response.

[0112] The disaster response support unit estimates the user's emotions and adjusts the method of providing evacuation information based on the estimated emotions. For example, if the user is anxious, the disaster response support unit provides simple and easy-to-understand evacuation information. If the user is relaxed, the disaster response support unit can also provide detailed evacuation information. Furthermore, if the user is in a hurry, the disaster response support unit can also provide information that allows for quick evacuation. In this way, the disaster response support unit can adjust the method of providing evacuation information based on the user's emotions, enabling the user to receive evacuation information efficiently. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0113] The disaster response support department proposes region-specific evacuation plans, taking into account the user's geographical location. For example, if a user is in a specific area, the disaster response support department will propose an evacuation plan for that area. Furthermore, if a user is in a specific area, the disaster response support department can also suggest evacuation shelters for that area. In addition, if a user is in a specific area, the disaster response support department can also suggest evacuation routes for that area. This allows the disaster response support department to propose region-specific evacuation plans that take the user's geographical location into account, enabling users to efficiently proceed with their evacuation plans.

[0114] The Moving Support Department estimates the user's emotions and supports the selection of a moving company based on those emotions. For example, if the user is feeling stressed, the Moving Support Department may suggest a moving company with simple procedures. If the user is relaxed, the Moving Support Department may also suggest a moving company that provides detailed explanations. Furthermore, if the user is in a hurry, the Moving Support Department may also suggest a moving company that can respond quickly. In this way, the Moving Support Department can help users efficiently prepare for their move by supporting the selection of a moving company based on their emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0115] The Moving Support Department analyzes past moving data and proposes the optimal packing method. For example, based on past moving data, the Moving Support Department can propose efficient packing methods. Furthermore, based on past moving data, the Moving Support Department can propose time-saving packing methods. In addition, based on past moving data, the Moving Support Department can propose stress-reducing packing methods. By analyzing past moving data, the Moving Support Department can propose the optimal packing method, enabling users to efficiently prepare for their move.

[0116] The moving support system estimates the user's emotions and prioritizes moving tasks based on those emotions. For example, if the user is stressed, the moving support system will prioritize important tasks. If the user is relaxed, the moving support system can also prioritize long-term tasks. Furthermore, if the user is in a hurry, the moving support system can also prioritize urgent tasks. This allows the moving support system to prioritize moving tasks based on the user's emotions, enabling the user to efficiently prepare for their move. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0117] The Moving Support Department proposes region-specific moving plans, taking into account the user's geographical location. For example, if the user is in a specific region, the Moving Support Department will propose a moving plan for that region. Furthermore, if the user is in a specific region, the Moving Support Department can also suggest moving companies in that region. In addition, if the user is in a specific region, the Moving Support Department can also suggest moving procedures for that region. This allows the Moving Support Department to propose region-specific moving plans, taking into account the user's geographical location, enabling the user to efficiently proceed with their moving preparations.

[0118] The home purchase support department estimates the user's emotions and provides property selection advice based on those emotions. For example, if the user is relaxed, the home purchase support department will provide detailed property information. If the user is nervous, the home purchase support department can also provide simple and easy-to-understand property information. Furthermore, if the user is in a hurry, the home purchase support department can provide property information quickly. For example, if the user is relaxed, the home purchase support department will provide detailed property information. If the user is nervous, the home purchase support department can also provide simple and easy-to-understand property information. Furthermore, if the user is in a hurry, the home purchase support department can also provide property information quickly. In this way, by providing property selection advice based on the user's emotions, the home purchase support department can enable the user to efficiently proceed with preparing for home purchase. Emotion estimation is achieved using emotion estimation functions, for example, using an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0119] The Housing Purchase Support Department analyzes past housing purchase data and proposes the optimal contract procedures. For example, based on past housing purchase data, the Housing Purchase Support Department can propose efficient contract procedures. Furthermore, based on past housing purchase data, the Housing Purchase Support Department can propose time-saving contract procedures. In addition, based on past housing purchase data, the Housing Purchase Support Department can propose time-saving contract procedures. Furthermore, based on past housing purchase data, the Housing Purchase Support Department can propose stress-reducing contract procedures. In this way, by analyzing past housing purchase data, the Housing Purchase Support Department can propose the optimal contract procedures, enabling users to efficiently proceed with their housing purchase preparations.

[0120] The Home Purchase Support Department estimates the user's emotions and provides loan application support based on those emotions. For example, if the user is feeling stressed, the Home Purchase Support Department will suggest an easy-to-understand loan application process. If the user is relaxed, the Home Purchase Support Department can also suggest a more detailed loan application process. Furthermore, if the user is in a hurry, the Home Purchase Support Department can suggest a loan application process that can be handled quickly. In this way, the Home Purchase Support Department can support the user's loan application process based on their emotions, enabling them to efficiently proceed with their home purchase preparations. Emotion estimation is achieved using emotion estimation functions, 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.

[0121] The Housing Purchase Support Department proposes region-specific housing purchase plans, taking into account the user's geographical location. For example, if the user is in a specific region, the Housing Purchase Support Department will propose a housing purchase plan for that region. Furthermore, if the user is in a specific region, the Housing Purchase Support Department can also suggest a real estate agent in that region. In addition, if the user is in a specific region, the Housing Purchase Support Department can also suggest a mortgage application process for that region. By doing so, the Housing Purchase Support Department can propose region-specific housing purchase plans, taking into account the user's geographical location, enabling the user to efficiently proceed with their housing purchase preparations.

[0122] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0123] A life event support system can estimate a user's emotions and adjust the progress of the event based on those emotions. For example, if a user is feeling stressed while preparing for a wedding, the system can prioritize relaxing tasks to reduce the user's burden. Similarly, if a user is grieving during funeral arrangements, the system can provide empathetic support and respond in a way that is sensitive to the user's feelings. Furthermore, if a user is feeling anxious during a disaster response, the system can provide simple and easy-to-understand instructions to support a swift evacuation. In this way, a life event support system can help users efficiently complete tasks by adjusting the progress of events based on their emotions.

[0124] The life event support system can propose region-specific event plans by taking into account the user's geographical location. For example, if the user is in a specific region, it can propose a plan based on the local wedding customs. It can also propose a plan based on the local funeral procedures. Furthermore, if the user is in a specific region, it can propose a plan based on the local disaster response plan. In this way, the life event support system can help users efficiently manage events by proposing region-specific event plans that take their geographical location into account.

[0125] The life event support system can analyze a user's social media activity and automatically generate relevant tasks. For example, if a user shares wedding preparations on social media, it can automatically generate relevant tasks. It can also automatically generate relevant tasks if a user shares funeral arrangements on social media. Furthermore, if a user shares disaster response information on social media, it can automatically generate relevant tasks. In this way, the life event support system analyzes a user's social media activity, automatically generates relevant tasks, and enables the user to efficiently manage those tasks.

[0126] The life event support system can estimate the user's emotions and dynamically change task priorities based on those emotions. For example, if the user is stressed, important tasks can be handled first to reduce their burden. If the user is relaxed, long-term tasks can be prioritized and progressed systematically. Furthermore, if the user is in a hurry, urgent tasks can be prioritized and addressed quickly. In this way, the life event support system reduces the user's burden and allows tasks to progress efficiently by dynamically changing task priorities based on the user's emotions.

[0127] A life event support system can analyze past event data and suggest the optimal task management method. For example, it can analyze past wedding data to suggest the most efficient preparation schedule. It can also analyze past funeral data to optimize the necessary procedures. Furthermore, it can analyze past disaster response data to suggest improvements to evacuation plans. In this way, the life event support system can analyze past event data to suggest the optimal task management method, allowing users to efficiently manage their tasks.

[0128] The life event support system can estimate the user's emotions and adjust the way instructions are phrased based on those emotions. For example, if the user is stressed, it can provide instructions in a calm tone. If the user is relaxed, it can provide instructions in a friendly tone. Furthermore, if the user is in a hurry, it can provide instructions in a concise and quick tone. In this way, the life event support system can help users efficiently complete tasks by adjusting the way instructions are phrased based on their emotions.

[0129] The life event support system can automatically rearrange tasks according to the user's current situation. For example, if wedding preparations are behind schedule, it will prioritize them and postpone other tasks. It can also automatically suggest the next steps if funeral arrangements are progressing. Furthermore, it can dynamically update evacuation plans based on the progress of disaster response. In this way, the life event support system allows users to efficiently manage tasks by automatically rearranging them according to the progress of each life event.

[0130] The life event support system can estimate the user's emotions and prioritize instructions based on those emotions. For example, if the user is stressed, important instructions will be provided first. If the user is relaxed, long-term instructions may be prioritized. Furthermore, if the user is in a hurry, urgent instructions may be prioritized. In this way, the life event support system can enable users to efficiently complete tasks by prioritizing instructions based on their emotions.

[0131] The life event support system can select the optimal display method considering the user's device information. For example, if the user is using a smartphone, it can provide a display method adapted to the screen size. If the user is using a tablet, it can provide a display method optimized for the larger screen. Furthermore, if the user is using a smartwatch, it can provide a concise and highly visible display method. This allows the life event support system to efficiently receive instructions by selecting the optimal display method based on the user's device information.

[0132] The life event support system can estimate the user's emotions and adjust the format of the documents it generates based on those emotions. For example, if the user is stressed, it can generate a simple and highly legible format. If the user is relaxed, it can generate a format that includes detailed information. Furthermore, if the user is in a hurry, it can generate a format that gets straight to the point. In this way, the life event support system allows users to use documents efficiently by adjusting the format based on their emotions.

[0133] The following briefly describes the processing flow for example form 2.

[0134] Step 1: The management department manages the procedures and tasks for each life event. For example, in wedding preparations, they manage tasks such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. In funerals, they manage tasks such as body handling, funeral home selection, scheduling, and funeral service procedures. Furthermore, in disaster response, they manage tasks such as creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. Step 2: The instruction unit provides users with precise instructions based on procedures and tasks managed by the management unit. For example, in wedding preparations, it provides instructions for theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. In funerals, it provides instructions for body placement, funeral home selection, scheduling, and funeral service procedures. Furthermore, in disaster response, it provides instructions for creating evacuation plans, preparing emergency kits, and providing real-time emergency alerts and evacuation information. Step 3: The generation unit generates specific procedures and necessary documents based on the instructions provided by the instruction unit. For example, in wedding preparations, it generates procedures and documents such as theme selection, venue booking, catering arrangements, photographer selection, and invitation creation. In funerals, it generates procedures and documents such as body placement, funeral home selection, scheduling, and funeral service procedures. Furthermore, in disaster response, it generates procedures and documents such as evacuation plan creation, emergency kit preparation, and provision of real-time emergency alerts and evacuation information.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] Each of the multiple elements described above, including the management unit, instruction unit, generation unit, wedding support unit, funeral support unit, disaster response support unit, moving support unit, and home purchase support unit, is implemented by, for example, at least one of the smart device 14 and the data processing unit 12. For example, the management unit is implemented by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing unit 12. The instruction unit is implemented by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing unit 12. The generation unit is implemented by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing unit 12. The wedding support unit is implemented by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing unit 12. The funeral support unit is implemented by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing unit 12. The disaster response support unit is implemented by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing unit 12. The relocation support unit is implemented by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing device 12. The home purchase support unit is implemented by the control unit 46A of the smart device 14 or the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be modified in various ways.

[0139] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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).

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.).

[0151] 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.

[0152] 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.

[0153] 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.

[0154] Each of the multiple elements described above, including the management unit, instruction unit, generation unit, wedding support unit, funeral support unit, disaster response support unit, moving support unit, and home purchase support unit, is implemented by, for example, at least one of the smart glasses 214 and the data processing unit 12. For example, the management unit is implemented by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing unit 12. The instruction unit is implemented by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing unit 12. The generation unit is implemented by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing unit 12. The wedding support unit is implemented by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing unit 12. The funeral support unit is implemented by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing unit 12. The disaster response support unit is implemented by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing unit 12. The relocation support unit is implemented by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing device 12. The home purchase support unit is implemented by the control unit 46A of the smart glasses 214 or the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be modified in various ways.

[0155] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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).

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.).

[0167] 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.

[0168] 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.

[0169] 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.

[0170] Each of the multiple elements described above, including the management unit, instruction unit, generation unit, wedding support unit, funeral support unit, disaster response support unit, moving support unit, and home purchase support unit, is implemented by, for example, at least one of the headset terminal 314 and the data processing unit 12. For example, the management unit is implemented by the control unit 46A of the headset terminal 314 or the specific processing unit 290 of the data processing unit 12. The instruction unit is implemented by the control unit 46A of the headset terminal 314 or the specific processing unit 290 of the data processing unit 12. The generation unit is implemented by the control unit 46A of the headset terminal 314 or the specific processing unit 290 of the data processing unit 12. The wedding support unit is implemented by the control unit 46A of the headset terminal 314 or the specific processing unit 290 of the data processing unit 12. The funeral support unit is implemented by the control unit 46A of the headset terminal 314 or the specific processing unit 290 of the data processing unit 12. The disaster response support unit is implemented by the control unit 46A of the headset terminal 314 or the specific processing unit 290 of the data processing device 12. The relocation support unit is implemented by the control unit 46A of the headset terminal 314 or the specific processing unit 290 of the data processing device 12. The home purchase support unit is implemented by the control unit 46A of the headset terminal 314 or the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be modified in various ways.

[0171] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0172] 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.

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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).

[0177] 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.

[0178] 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.

[0179] 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.

[0180] 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.

[0181] 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.

[0182] 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.

[0183] 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.).

[0184] 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.

[0185] 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.

[0186] 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.

[0187] Each of the above-mentioned elements, including the management unit, instruction unit, generation unit, wedding support unit, funeral support unit, disaster response support unit, moving support unit, and home purchase support unit, is implemented by, for example, at least one of the robot 414 and the data processing unit 12. For example, the management unit is implemented by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing unit 12. The instruction unit is implemented by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing unit 12. The generation unit is implemented by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing unit 12. The wedding support unit is implemented by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing unit 12. The funeral support unit is implemented by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing unit 12. The disaster response support unit is implemented by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing unit 12. The relocation support unit is implemented by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing unit 12. The home purchase support unit is implemented by the control unit 46A of the robot 414 or the specific processing unit 290 of the data processing unit 12. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be modified in various ways.

[0188] 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.

[0189] 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.

[0190] 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.

[0191] 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.

[0192] 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.

[0193] 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."

[0194] 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.

[0195] 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.

[0196] 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.

[0197] 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.

[0198] 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.

[0199] 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.

[0200] 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.

[0201] 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.

[0202] 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.

[0203] 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.

[0204] 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.

[0205] 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.

[0206] (Note 1) The management department manages the procedures and tasks for each life event, An instruction unit provides accurate instructions to the user based on procedures and tasks managed by the aforementioned management unit, The system includes a generation unit that generates specific procedures and necessary documents based on instructions provided by the instruction unit. A system characterized by the following features. (Note 2) In wedding preparations, We have a wedding support department that assists with theme selection and venue reservations. The system described in Appendix 1, characterized by the features described herein. (Note 3) At a funeral, The facility includes a funeral support department that assists with body storage and the selection of funeral homes. The system described in Appendix 1, characterized by the features described herein. (Note 4) In disaster response, It includes a disaster response support department that assists with creating evacuation plans and preparing emergency supply kits. The system described in Appendix 1, characterized by the features described herein. (Note 5) When moving, We have a moving support department that assists with pre-move preparations and the move to your new home. The system described in Appendix 1, characterized by the features described herein. (Note 6) When purchasing a home, We have a housing purchase support department to assist with property selection and contract procedures. The system described in Appendix 1, characterized by the features described herein. (Note 7) The generating unit is We provide the most effective advice and best practices based on past data and the experiences of other users. The system described in Appendix 1, characterized by the features described herein. (Note 8) The indicator unit is, This provides solutions for potential problems that may arise during various events and emergencies. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned management department, Track the progress of each event and provide reminders for small tasks that are easily forgotten. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned management department, It estimates the user's emotions and dynamically changes task priorities based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned management department, We analyze past event data and propose the optimal task management method. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned management department, Tasks are automatically rearranged according to the progress of each life event. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned management department, It estimates the user's emotions and adjusts the timing of task notifications based on those emotions. The system described in Appendix 1, characterized by the features described herein. (Note 14) The aforementioned management department, Add region-specific tasks, taking into account the user's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 15) The aforementioned management department, Analyze users' social media activity and automatically generate related tasks. The system described in Appendix 1, characterized by the features described herein. (Note 16) The indicator unit is, It estimates the user's emotions and adjusts the way instructions are expressed based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 17) The indicator unit is, When providing instructions, the system selects the most appropriate instructions by referring to the user's past behavior history. The system described in Appendix 1, characterized by the features described herein. (Note 18) The indicator unit is, When providing instructions, customize the instructions according to the user's current situation. The system described in Appendix 1, characterized by the features described herein. (Note 19) The indicator unit is, It estimates the user's emotions and determines the priority of instructions based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 20) The indicator unit is, When providing instructions, the optimal display method is selected considering the user's device information. The system described in Appendix 1, characterized by the features described herein. (Note 21) The indicator unit is, When providing instructions, the system analyzes the user's schedule and provides instructions at the optimal time. The system described in Appendix 1, characterized by the features described herein. (Note 22) The generating unit is It estimates the user's emotions and adjusts the format of the generated documents based on the estimated user emotions. The system described in Appendix 1, characterized by the features described herein. (Note 23) The generating unit is During generation, the system automatically generates the optimal document by referencing past data. The system described in Appendix 1, characterized by the features described herein. (Note 24) The generating unit is During generation, the document content is customized according to the user's current situation. The system described in Appendix 1, characterized by the features described herein. (Note 25) The generating unit is It estimates the user's emotions and determines the priority of documents to generate based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 26) The generating unit is When generating documents, region-specific documents are created, taking into account the user's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 27) The generating unit is During generation, the system analyzes the user's social media activity and automatically generates relevant documents. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned wedding support department, It estimates user sentiment and provides theme selection advice based on that estimated sentiment. The system described in Appendix 2, characterized by the features described herein. (Note 29) The aforementioned wedding support department, We analyze past wedding data and propose the most suitable venue. The system described in Appendix 2, characterized by the features described herein. (Note 30) The aforementioned wedding support department, It estimates the user's emotions and suggests an invitation design based on those estimated emotions. The system described in Appendix 2, characterized by the features described herein. (Note 31) The aforementioned wedding support department, We propose region-specific wedding plans, taking into account the user's geographical location. The system described in Appendix 2, characterized by the features described herein. (Note 32) The aforementioned funeral support department, It estimates the user's emotions and supports the selection of a funeral home based on those estimated emotions. The system described in Appendix 3, characterized by the features described herein. (Note 33) The aforementioned funeral support department, We analyze past funeral data and propose the optimal funeral service procedure. The system described in Appendix 3, characterized by the features described herein. (Note 34) The aforementioned funeral support department, It estimates the user's emotions and supports the preparation of necessary documents based on those estimated emotions. The system described in Appendix 3, characterized by the features described herein. (Note 35) The aforementioned funeral support department, We propose funeral plans tailored to the user's geographical location. The system described in Appendix 3, characterized by the features described herein. (Note 36) The aforementioned disaster response support unit, It estimates the user's emotions and customizes the evacuation plan based on those estimated emotions. The system described in Appendix 4, characterized by the features described herein. (Note 37) The aforementioned disaster response support unit, We analyze past disaster data and propose the optimal emergency kit. The system described in Appendix 4, characterized by the features described herein. (Note 38) The aforementioned disaster response support unit, The system estimates the user's emotions and adjusts the method of providing evacuation information based on those estimated emotions. The system described in Appendix 4, characterized by the features described herein. (Note 39) The aforementioned disaster response support unit, We propose region-specific evacuation plans, taking into account the user's geographical location. The system described in Appendix 4, characterized by the features described herein. (Note 40) The aforementioned moving support department, It estimates the user's emotions and supports the selection of a moving company based on those estimated emotions. The system described in Appendix 5, characterized by the features described herein. (Note 41) The aforementioned moving support department, We analyze past moving data and propose the optimal way to pack your belongings. The system described in Appendix 5, characterized by the features described herein. (Note 42) The aforementioned moving support department, It estimates the user's emotions and prioritizes moving tasks based on those estimated emotions. The system described in Appendix 5, characterized by the features described herein. (Note 43) The aforementioned moving support department, We propose region-specific relocation plans that take into account the user's geographical location. The system described in Appendix 5, characterized by the features described herein. (Note 44) The aforementioned housing purchase support department, It estimates the user's emotions and provides property selection advice based on those estimated emotions. The system described in Appendix 6, characterized by the features described herein. (Note 45) The aforementioned housing purchase support department, We analyze past home purchase data and propose the optimal contract procedures. The system described in Appendix 6, characterized by the features described herein. (Note 46) The aforementioned housing purchase support department, It estimates the user's emotions and provides support for loan procedures based on those estimated emotions. The system described in Appendix 6, characterized by the features described herein. (Note 47) The aforementioned housing purchase support department, We propose region-specific housing purchase plans that take into account the user's geographical location. The system described in Appendix 6, characterized by the features described herein. [Explanation of symbols]

[0207] 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 management department manages the procedures and tasks for each life event, An instruction unit provides accurate instructions to the user based on procedures and tasks managed by the aforementioned management unit, The system includes a generation unit that generates specific procedures and necessary documents based on instructions provided by the instruction unit. A system characterized by the following features.

2. In wedding preparations, We have a wedding support department that assists with theme selection and venue reservations. The system according to feature 1.

3. At a funeral, The facility includes a funeral support department that assists with arranging the body's burial and selecting a funeral home. The system according to feature 1.

4. In disaster response, It includes a disaster response support department that assists with creating evacuation plans and preparing emergency supply kits. The system according to feature 1.

5. When moving, We have a moving support department that assists with pre-move preparations and relocation to your new home. The system according to feature 1.

6. When purchasing a home, We have a housing purchase support department that assists with property selection and contract procedures. The system according to feature 1.

7. The generating unit is We provide the most effective advice and best practices based on past data and the experiences of other users. The system according to feature 1.

8. The indicator unit is, This provides solutions for potential problems that may arise during various events and emergencies. The system according to feature 1.

9. The aforementioned management department, Track the progress of each event and provide reminders for small tasks that are easily forgotten. The system according to feature 1.

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