system

Abstract

The system according to this embodiment aims to provide people who wish to relocate to rural areas with a unified service that includes local information, vacant house renovation, and post-relocation support. [Solution] The system according to the embodiment comprises an information provision unit, a renovation support unit, a lifestyle support unit, and a marketing support unit. The information provision unit provides local information. The renovation support unit provides support for vacant house renovations based on the information provided by the information provision unit. The lifestyle support unit provides support for life after relocation based on the information supported by the renovation support unit. The marketing support unit provides marketing support based on the information provided by the lifestyle support unit.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, 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, for people who wish to move to local areas, the provision of regional information, the renovation of vacant houses, and the post-migration life support have not been sufficiently provided in a unified manner, and there is room for improvement.

[0005] The system according to the embodiment aims to provide regional information, vacant house renovation, and post-migration life support to people who wish to move to local areas in a unified manner.

Means for Solving the Problems

[0006] The system according to this embodiment comprises an information provision unit, a renovation support unit, a lifestyle support unit, and a marketing support unit. The information provision unit provides local information. The renovation support unit provides support for vacant house renovations based on the information provided by the information provision unit. The lifestyle support unit provides support for life after relocation based on the information supported by the renovation support unit. The marketing support unit provides marketing support based on the information provided by the lifestyle support unit. [Effects of the Invention]

[0007] The system according to this embodiment can provide people who wish to relocate to rural areas with a unified service that includes local information, vacant house renovation, and post-relocation support. [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 numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

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

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

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

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

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

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

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

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

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

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

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

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

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

[0028] (Example of form 1) An integrated platform according to an embodiment of the present invention is a system that provides comprehensive support to urban residents, remote workers, and families with children who wish to relocate to rural areas, offering local information, assistance with vacant house renovations, and post-relocation life support. This integrated platform utilizes generative AI to perform effective content generation, real-time consultations, and marketing support. For example, when a user searches for information about relocating to a rural area, the generative AI automatically generates and provides information such as the local living environment, medical facilities, educational institutions, and public transportation. For example, if a user wants to learn about a specific area, the generative AI creates and provides a video tour introducing the main facilities and tourist attractions of that area. Next, when a prospective resident seeks information about vacant house renovations, the generative AI visually introduces past success stories to provide a concrete image. The generative AI also performs a simulation of the renovation costs and provides it to the user. For example, it simulates the costs and construction period for renovating a specific vacant house and presents it to the user. Furthermore, when a prospective resident seeks advice regarding life after relocation, the generative AI responds in real time. For example, if a user asks about the living environment in the relocation destination or connections with the local community, the generative AI provides an appropriate answer. Furthermore, a chatbot will be used to provide real-time support for pre- and post-relocation consultations. In addition, as marketing support, a generative AI will place keyword ads related to rural relocation on search engines to attract potential migrants. For example, ads related to specific regions will be displayed to promote relocation to those areas. Advertising will also be used to conduct promotions targeting specific demographics. In this way, by utilizing generative AI, an integrated platform will be realized that provides information on rural relocation, support for vacant house renovation, and support for life after relocation in a single location. This will help migrants to rural areas to start their new lives with peace of mind, maximize the appeal of the region, and aim for the revitalization and sustainable growth of the entire region.

[0029] The integrated platform according to this embodiment comprises an information provision unit, a renovation support unit, a lifestyle support unit, and a marketing support unit. The information provision unit provides local information. For example, the information provision unit automatically generates and provides information such as the local living environment, medical facilities, educational institutions, and public transportation. For example, the information provision unit can use a generation AI to create and provide video tours introducing major local facilities and tourist attractions. The information provision unit can also automatically generate and provide interviews with local residents to users. The renovation support unit provides support for vacant house renovations. For example, the renovation support unit can visually introduce past successful cases and simulate the costs involved in renovations. For example, the renovation support unit can simulate and present to users the costs and construction period for renovating a specific vacant house. The renovation support unit can also automatically generate and provide a list of materials necessary for renovations. The lifestyle support unit provides support for life after relocation. The Life Support Department, for example, provides real-time consultations regarding life after relocation. For instance, if a user asks about the living environment in their new location or connections with the local community, the Life Support Department's AI can provide appropriate answers. The Life Support Department can also provide real-time information on local community events. The Marketing Support Department provides marketing support. For example, the Marketing Support Department can place keyword ads related to relocating to rural areas on search engines and conduct promotions targeting specific demographics. The Marketing Support Department can also display ads related to specific regions to promote relocation to those regions. Furthermore, the Marketing Support Department can automatically generate success stories related to relocating to rural areas and use them in advertising. As a result, the integrated platform according to this embodiment can provide regional information, support for renovating vacant houses, post-relocation life support, and marketing support in a unified manner.

[0030] The Information Provision Department provides local information. For example, it automatically generates and provides information on local living environments, medical facilities, educational institutions, and public transportation. Specifically, it can use a generation AI to create and provide users with video tours introducing major local facilities and tourist attractions. These video tours combine drone footage and local photographs with narration to create visually appealing content. The Information Provision Department can also automatically generate and provide users with interviews with local residents. The generation AI analyzes past interview and survey data to generate interview content in a natural conversational format. This allows users to experience the actual living environment and the voices of the residents in a realistic way. Furthermore, the Information Provision Department can update and provide users with local event information and the latest news in real time. For example, it has a function to automatically collect local festivals, cultural events, and local news and notify users. This allows users to always stay informed about the latest local information and smoothly adapt to life in their new location. The Information Provision Department centrally manages this information and can provide customized information according to user needs. For example, if a user is interested in a specific medical facility or educational institution, that information can be prioritized and displayed. This allows the information provider to offer users the most relevant local information and support their relocation decisions.

[0031] The Renovation Support Department provides support for renovating vacant properties. For example, it visually showcases past successful projects and simulates the costs involved in renovation. Specifically, it can use generative AI to generate before-and-after images and videos of past renovation projects and provide them to users. This allows users to form a concrete image of their own renovation. The Renovation Support Department can also simulate and present the costs and construction period for renovating a specific vacant property. The generative AI takes into account the building's structure and condition, the types of materials used, etc., to provide detailed cost estimates and construction period predictions. Furthermore, the Renovation Support Department can automatically generate and provide a list of materials necessary for renovation. For example, it can list specific items such as wall materials, flooring materials, and lighting fixtures, and provide information on their prices and where to purchase them. This allows users to efficiently procure the materials necessary for their renovation. The Renovation Support Department centrally manages this information and can provide customized support according to the user's needs. For example, if a user is interested in a particular design or style, that information can be provided preferentially. This allows the renovation support department to provide users with the most suitable renovation support and promote the effective use of vacant properties.

[0032] The Life Support Department provides support for life after relocation. For example, it can provide real-time consultations regarding life after moving. Specifically, it can use generative AI to provide appropriate answers when users ask questions about the living environment in their new location or connections with the local community. The generative AI generates quick and accurate answers to user questions based on past consultations and local information. The Life Support Department can also provide real-time information on local community events. For example, it has a function to automatically collect information on local festivals, cultural events, and local news and notify users. This allows users to always stay informed about the latest local information and smoothly adapt to life in their new location. Furthermore, the Life Support Department can also provide information on procedures and services necessary for life after relocation. For example, it provides centralized information on things needed after relocation, such as resident registration, how to use public services, and how to visit medical institutions. This reduces anxiety about life after relocation and allows users to start their new life with peace of mind. The Life Support Department can centrally manage this information and provide customized support according to the user's needs. For example, if a user is interested in a particular service or procedure, it can prioritize providing that information. This allows the Life Support Department to provide users with optimal lifestyle support, enabling them to smoothly transition into life after relocating.

[0033] The Marketing Support Department provides marketing support. For example, the Marketing Support Department can place keyword ads related to rural relocation on search engines and conduct promotions targeting specific demographics. Specifically, it can use generative AI to select effective keywords related to rural relocation and automatically generate ad copy. This allows for the display of optimal ads to target demographics and promotes relocation. The Marketing Support Department can also display ads related to specific regions to promote relocation to those regions. The generative AI generates ad copy that emphasizes the characteristics and attractions of the region, effectively appealing to users. Furthermore, the Marketing Support Department can automatically generate success stories related to rural relocation and use them in advertisements. For example, based on the experiences and success stories of past relocators, the generative AI generates natural-sounding text for use in advertisements. This allows users to refer to actual success stories and support their relocation decision-making. The Marketing Support Department can centrally manage this information and provide customized marketing support according to user needs. For example, it can propose optimal advertising strategies for specific regions and target demographics. In this way, the Marketing Support Department can provide optimal marketing support to users and promote rural relocation.

[0034] The information provision unit can automatically generate and provide information on local living environments, medical facilities, educational institutions, and public transportation. For example, the information provision unit can automatically generate and provide users with detailed information on local living environments. For example, the information provision unit can automatically generate and provide users with a list of local medical facilities and their access methods. The information provision unit can also automatically generate and provide users with information on local educational institutions. For example, the information provision unit can automatically generate and provide users with introductions to major local educational institutions and information on enrollment procedures. Furthermore, the information provision unit can automatically generate and provide users with information on local public transportation. For example, the information provision unit can automatically generate and provide users with local bus and train timetables and route maps. This enables the automatic generation and provision of detailed local information to users. Some or all of the above processing in the information provision unit is performed using a generation AI. For example, the information provision unit inputs data on local living environments into the generation AI, and the generation AI automatically generates information based on that data.

[0035] The renovation support department can visually showcase past success stories and simulate renovation costs. For example, it can present past success stories using images and videos to provide users with a concrete image. For instance, it can use AI to generate before-and-after images of a specific vacant house renovation and provide them to the user. Furthermore, the renovation support department can simulate renovation costs and provide them to the user. For example, it can simulate the costs and construction period for a specific vacant house renovation and present them to the user. In addition, the renovation support department can automatically generate and provide a list of materials needed for renovation. For example, it can automatically generate a list of building materials and tools needed for renovation and provide it to the user. This allows users to get a concrete image of the renovation and simulate costs. Some or all of the above processes in the renovation support department are performed using generation AI. For example, the renovation support department inputs data from past successful cases into a generating AI, which then generates visuals based on that data.

[0036] The Life Support Department can provide real-time consultations regarding life after relocation. For example, if a user asks about the living environment in their new location or connections with the local community, the Life Support Department's generating AI will provide appropriate answers. For example, if a user asks about medical facilities or educational institutions in their new location, the generating AI can provide detailed information. The Life Support Department can also provide real-time information on local community events. For example, the Life Support Department will provide real-time information on events held at local community centers. Furthermore, the Life Support Department can automatically generate and provide guides on procedures necessary for life after relocation. For example, the Life Support Department can automatically generate and provide users with a guide on the resident registration procedures necessary after relocation. This enables the department to provide real-time consultations regarding life after relocation. Some or all of the above processes in the Life Support Department are performed using the generating AI. For example, the Life Support Department inputs the user's question into the generating AI, and the generating AI generates an answer to that question.

[0037] The Marketing Support Department can run keyword ads related to rural relocation on search engines and conduct promotions targeting specific demographics. For example, the Marketing Support Department can display ads related to a specific region to encourage relocation to that region. For example, the Marketing Support Department can use a generation AI to create ads that showcase the attractions of a specific region and run them on search engines. The Marketing Support Department can also automatically generate success stories related to rural relocation and use them in its ads. For example, the Marketing Support Department can automatically generate interviews with families who have successfully relocated to rural areas and use them in its ads. Furthermore, the Marketing Support Department can analyze and optimize the effectiveness of its ads in real time. For example, the Marketing Support Department can analyze and optimize the click-through rate and conversion rate of its ads in real time. This allows the department to run keyword ads related to rural relocation and conduct promotions targeting specific demographics. Some or all of the above processes in the Marketing Support Department are performed using generation AI. For example, the Marketing Support Department inputs the ad content into the generation AI, and the generation AI generates the ad based on that content.

[0038] The information provision department can automatically generate and provide information on seasonal events in the region. For example, it can automatically generate and provide information on major seasonal events such as cherry blossom viewing events in spring and fireworks displays in summer. The information provision department can also automatically generate and provide information on traditional local festivals and cultural events to users. Furthermore, the information provision department can automatically generate and provide information on seasonal sports events and outdoor activities. For example, it can automatically generate and provide schedules and participation methods for local sports events to users. In this way, it can automatically generate and provide information on seasonal events in the region. Some or all of the above processing in the information provision department is performed using a generation AI. For example, the information provision department inputs local event data into the generation AI, and the generation AI automatically generates event information based on that data.

[0039] The information provision department can automatically generate and provide local resident interviews to users. For example, the information provision department can automatically generate interviews with long-time residents to convey the charm of the area. For example, the information provision department can automatically generate interviews with newly moved residents to share their experiences of relocating. The information provision department can also automatically generate interviews with local business owners to introduce the local economic situation and business opportunities. For example, the information provision department can automatically generate success stories of local business owners and provide them to users. In this way, local resident interviews can be automatically generated and provided to users. Some or all of the above processing in the information provision department is performed using a generation AI. For example, the information provision department inputs resident interview data into the generation AI, and the generation AI automatically generates interviews based on that data.

[0040] The information provision unit can automatically generate and provide information on local history and culture. For example, it can automatically generate and provide information on local historical buildings and ruins. For example, it can automatically generate and provide information on local traditional festivals and cultural events to users. Furthermore, the information provision unit can automatically generate and provide information on local historical events and figures. For example, it can automatically generate and provide detailed information on local historical events and figures to users. In this way, it can automatically generate and provide information on local history and culture. Some or all of the above processing in the information provision unit is performed using a generation AI. For example, the information provision unit inputs data on local history and culture into the generation AI, and the generation AI automatically generates information based on that data.

[0041] The Information Provision Department can automatically generate and provide regional real estate market trends. For example, it can automatically generate and provide the latest regional real estate price trends. For example, it can analyze past data on regional real estate transactions and predict future market trends. The Information Provision Department can also automatically generate and provide news and reports on the regional real estate market. For example, it can automatically generate and provide the latest news and reports on the regional real estate market to users. This enables the automatic generation and provision of regional real estate market trends. Some or all of the above processing in the Information Provision Department is performed using a generation AI. For example, the Information Provision Department inputs regional real estate market data into the generation AI, and the generation AI automatically generates market trends based on that data.

[0042] The renovation support department can automatically generate and provide lists of materials necessary for renovation. For example, it can automatically generate and provide lists of building materials and tools necessary for renovation. For example, it can automatically generate and provide lists of furniture and interior items necessary for renovation. Furthermore, the renovation support department can also automatically generate and provide lists of electrical equipment and plumbing necessary for renovation. For example, it can automatically generate and provide detailed lists of electrical equipment and plumbing necessary for renovation. This enables the automatic generation and provision of lists of materials necessary for renovation. Some or all of the above processes in the renovation support department are performed using a generation AI. For example, the renovation support department inputs data on materials necessary for renovation into the generation AI, and the generation AI automatically generates a list of materials based on that data.

[0043] The renovation support department can track the progress of the renovation in real time and notify the user. For example, the renovation support department can track the progress of each stage of the renovation in real time and notify the user. For example, the renovation support department can notify the user of the preparation for the next stage depending on the progress of the renovation. In addition, if a problem occurs in the progress of the renovation, the renovation support department can notify the user in real time and propose countermeasures. For example, if a problem occurs in the progress of the renovation, the renovation support department can detect that problem in real time and notify the user. This allows the renovation progress to be tracked in real time and notified to the user. Some or all of the above processes in the renovation support department are performed using a generation AI. For example, the renovation support department inputs renovation progress data into the generation AI, which tracks the progress based on that data and notifies the user.

[0044] The Renovation Support Department can automatically generate and provide users with legal procedures related to renovations. For example, the Renovation Support Department can automatically generate and provide users with building permit applications necessary for renovations. For example, the Renovation Support Department can automatically generate and provide users with contracts and agreements related to renovations. Furthermore, the Renovation Support Department can automatically generate and provide users with guidelines for legal procedures related to renovations. For example, the Renovation Support Department can automatically generate and provide users with detailed guidelines for legal procedures necessary for renovations. This enables the automatic generation and provision of legal procedures related to renovations to users. Some or all of the above processes in the Renovation Support Department are performed using a generation AI. For example, the Renovation Support Department inputs data related to legal procedures into the generation AI, and the generation AI automatically generates legal procedures based on that data.

[0045] The Renovation Support Department can automatically generate and provide information on local contractors related to renovations. For example, the Renovation Support Department can automatically generate and provide lists of local renovation contractors. For example, the Renovation Support Department can automatically generate and provide ratings and reviews of local renovation contractors to users. Furthermore, the Renovation Support Department can automatically generate and provide past performance data of local renovation contractors. For example, the Renovation Support Department can automatically generate and provide success stories of local renovation contractors to users. In this way, it can automatically generate and provide information on local contractors related to renovations. Some or all of the above processes in the Renovation Support Department are performed using a generation AI. For example, the Renovation Support Department inputs local contractor information into the generation AI, and the generation AI automatically generates contractor information based on that data.

[0046] The Life Support Department can provide real-time information on local community events. For example, it can provide real-time information on events held at local community centers. For example, it can provide real-time information on events held at local sports clubs and cultural circles. Furthermore, the Life Support Department can also provide real-time information on events held at local schools and educational institutions. For example, it can provide real-time information on cultural festivals and sports events held at local schools. This allows for the provision of real-time information on local community events. Some or all of the above processing in the Life Support Department is performed using a generative AI. For example, the Life Support Department inputs local community event data into the generative AI, and the generative AI provides event information in real time based on that data.

[0047] The Life Support Department can automatically generate and provide guides for procedures necessary for life after relocation. For example, the Life Support Department can automatically generate and provide a guide for resident registration procedures necessary after relocation. For example, the Life Support Department can automatically generate and provide a guide for procedures for using public services necessary after relocation. Furthermore, the Life Support Department can automatically generate and provide a guide for registration procedures for medical institutions necessary after relocation. For example, the Life Support Department can automatically generate and provide a detailed guide for registration procedures for medical institutions necessary after relocation. In this way, guides for procedures necessary for life after relocation can be automatically generated and provided. Some or all of the above processing in the Life Support Department is performed using a generation AI. For example, the Life Support Department inputs data related to procedures into the generation AI, and the generation AI automatically generates a procedure guide based on that data.

[0048] The Life Support Department can integrate with and provide access to the reservation systems of local medical institutions. For example, the Life Support Department can integrate with and provide access to the reservation systems of local hospitals and clinics. For example, the Life Support Department can integrate with and provide access to the reservation systems of local dental clinics and ophthalmology clinics. Furthermore, the Life Support Department can also integrate with and provide access to the reservation systems of local specialists and clinics. For example, the Life Support Department can integrate with and provide access to the reservation systems of local specialists. This enables integration with and provision of access to the reservation systems of local medical institutions. Some or all of the above processing in the Life Support Department is performed using a generation AI. For example, the Life Support Department inputs reservation data from medical institutions into the generation AI, and the generation AI then integrates with the reservation system based on that data.

[0049] The Life Support Department can automatically generate and provide information on admission procedures for local educational institutions. For example, the Life Support Department can automatically generate and provide information on admission procedures for local elementary and junior high schools. For example, the Life Support Department can automatically generate and provide information on admission procedures for local high schools and vocational schools. In addition, the Life Support Department can automatically generate and provide information on admission procedures for local universities and junior colleges. For example, the Life Support Department can automatically generate and provide information on admission procedures for local universities. This enables the automatic generation and provision of admission procedures information for local educational institutions. Some or all of the above processing in the Life Support Department is performed using a generation AI. For example, the Life Support Department inputs admission procedure data for educational institutions into the generation AI, and the generation AI automatically generates admission procedure information based on that data.

[0050] The Marketing Support Department can automatically generate success stories related to rural relocation and use them in advertising. For example, the Marketing Support Department can automatically generate interviews with families who have successfully relocated to rural areas and use them in advertising. For example, the Marketing Support Department can automatically generate testimonials from remote workers who have successfully relocated to rural areas and use them in advertising. Furthermore, the Marketing Support Department can automatically generate stories of families with children who have successfully relocated to rural areas and use them in advertising. For example, the Marketing Support Department can automatically generate detailed interviews with families who have successfully relocated to rural areas and provide them to users. This allows for the automatic generation of success stories related to rural relocation and their use in advertising. Some or all of the above processes in the Marketing Support Department are performed using a generation AI. For example, the Marketing Support Department inputs data on success stories into the generation AI, and the generation AI automatically generates success stories based on that data.

[0051] The Marketing Support Department can analyze and optimize the effectiveness of advertisements in real time. For example, it can analyze and optimize the click-through rate and conversion rate of advertisements in real time. For example, it can analyze and optimize the number of impressions and the number of times an advertisement is displayed in real time. Furthermore, the Marketing Support Department can analyze and optimize the response of the target audience to advertisements in real time. For example, the Marketing Support Department analyzes the response of the target audience to advertisements in real time and optimizes the content of the advertisements. This allows for the real-time analysis and optimization of the effectiveness of advertisements. Some or all of the above processes in the Marketing Support Department are performed using generative AI. For example, the Marketing Support Department inputs advertisement effectiveness data into the generative AI, which then analyzes and optimizes the effectiveness of the advertisements in real time based on that data.

[0052] The Marketing Support Department can automatically generate webinars on rural relocation and use them as advertisements. For example, the Marketing Support Department can automatically generate lectures by experts on rural relocation and provide them as webinars. For example, the Marketing Support Department can automatically generate testimonials from people who have successfully relocated to rural areas and provide them as webinars. In addition, the Marketing Support Department can automatically generate the latest information and trends on rural relocation and provide them as webinars. For example, the Marketing Support Department can automatically generate the latest information on rural relocation and provide it to users. This allows for the automatic generation of webinars on rural relocation and their use as advertisements. Some or all of the above processes in the Marketing Support Department are performed using a generation AI. For example, the Marketing Support Department inputs the webinar content into the generation AI, and the generation AI automatically generates the webinar based on that content.

[0053] The Marketing Support Department can automatically generate and implement social media campaigns related to relocating to rural areas. For example, the Marketing Support Department can automatically generate and implement hashtag campaigns related to relocating to rural areas on social media. For example, the Marketing Support Department can automatically generate and implement photo contests related to relocating to rural areas on social media. Furthermore, the Marketing Support Department can automatically generate and implement quiz campaigns related to relocating to rural areas on social media. For example, the Marketing Support Department can automatically generate and provide quiz campaigns related to relocating to rural areas to users. This enables the automatic generation and implementation of social media campaigns related to relocating to rural areas. Some or all of the above processes in the Marketing Support Department are performed using a generation AI. For example, the Marketing Support Department inputs the content of a social media campaign into the generation AI, and the generation AI automatically generates a social media campaign based on that content.

[0054] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0055] The information provision department can automatically generate and provide information on seasonal events in the region. For example, it can automatically generate and provide information on major seasonal events such as cherry blossom viewing events in spring and fireworks displays in summer. The information provision department can also automatically generate and provide information on traditional local festivals and cultural events to users. Furthermore, the information provision department can automatically generate and provide information on seasonal sports events and outdoor activities. For example, it can automatically generate and provide schedules and participation methods for local sports events to users. In this way, it can automatically generate and provide information on seasonal events in the region. Some or all of the above processing in the information provision department is performed using a generation AI. For example, the information provision department inputs local event data into the generation AI, and the generation AI automatically generates event information based on that data.

[0056] The information provision department can automatically generate and provide local resident interviews to users. For example, the information provision department can automatically generate interviews with long-time residents to convey the charm of the area. For example, the information provision department can automatically generate interviews with newly moved residents to share their experiences of relocating. The information provision department can also automatically generate interviews with local business owners to introduce the local economic situation and business opportunities. For example, the information provision department can automatically generate success stories of local business owners and provide them to users. In this way, local resident interviews can be automatically generated and provided to users. Some or all of the above processing in the information provision department is performed using a generation AI. For example, the information provision department inputs resident interview data into the generation AI, and the generation AI automatically generates interviews based on that data.

[0057] The information provision unit can automatically generate and provide information on local history and culture. For example, it can automatically generate and provide information on local historical buildings and ruins. For example, it can automatically generate and provide information on local traditional festivals and cultural events to users. Furthermore, the information provision unit can automatically generate and provide information on local historical events and figures. For example, it can automatically generate and provide detailed information on local historical events and figures to users. In this way, it can automatically generate and provide information on local history and culture. Some or all of the above processing in the information provision unit is performed using a generation AI. For example, the information provision unit inputs data on local history and culture into the generation AI, and the generation AI automatically generates information based on that data.

[0058] The Renovation Support Department can automatically generate and provide users with legal procedures related to renovations. For example, the Renovation Support Department can automatically generate and provide users with building permit applications necessary for renovations. For example, the Renovation Support Department can automatically generate and provide users with contracts and agreements related to renovations. Furthermore, the Renovation Support Department can automatically generate and provide users with guidelines for legal procedures related to renovations. For example, the Renovation Support Department can automatically generate and provide users with detailed guidelines for legal procedures necessary for renovations. This enables the automatic generation and provision of legal procedures related to renovations to users. Some or all of the above processes in the Renovation Support Department are performed using a generation AI. For example, the Renovation Support Department inputs data related to legal procedures into the generation AI, and the generation AI automatically generates legal procedures based on that data.

[0059] The Life Support Department can integrate with and provide access to the reservation systems of local medical institutions. For example, the Life Support Department can integrate with and provide access to the reservation systems of local hospitals and clinics. For example, the Life Support Department can integrate with and provide access to the reservation systems of local dental clinics and ophthalmology clinics. Furthermore, the Life Support Department can also integrate with and provide access to the reservation systems of local specialists and clinics. For example, the Life Support Department can integrate with and provide access to the reservation systems of local specialists. This enables integration with and provision of access to the reservation systems of local medical institutions. Some or all of the above processing in the Life Support Department is performed using a generation AI. For example, the Life Support Department inputs reservation data from medical institutions into the generation AI, and the generation AI then integrates with the reservation system based on that data.

[0060] The following briefly describes the processing flow for example form 1.

[0061] Step 1: The information provision department provides local information. For example, it automatically generates and provides information on local living environment, medical facilities, educational institutions, and public transportation. It can also generate and provide video tours introducing major local facilities and tourist attractions using AI. Furthermore, it can automatically generate and provide interviews with local residents to users. Step 2: The renovation support department provides assistance for renovating vacant houses. For example, it visually showcases past successful cases and simulates the costs involved in renovation. It can simulate and present to users the costs and construction period for renovating a specific vacant house. It can also automatically generate and provide a list of materials necessary for renovation. Step 3: The Life Support Department provides support for life after relocation. For example, it provides real-time consultations regarding life after moving. When users ask questions about the living environment in their new location or connections with the local community, the AI ​​can provide appropriate answers. It can also provide real-time information on local community events. Step 4: The Marketing Support Department provides marketing support. For example, they place keyword ads related to relocating to rural areas on search engines and conduct promotions targeting specific demographics. They can also display ads related to specific regions to encourage relocation to those areas. Furthermore, they can automatically generate success stories related to relocating to rural areas and use them in their advertising.

[0062] (Example of form 2) An integrated platform according to an embodiment of the present invention is a system that provides comprehensive support to urban residents, remote workers, and families with children who wish to relocate to rural areas, offering local information, assistance with vacant house renovations, and post-relocation life support. This integrated platform utilizes generative AI to perform effective content generation, real-time consultations, and marketing support. For example, when a user searches for information about relocating to a rural area, the generative AI automatically generates and provides information such as the local living environment, medical facilities, educational institutions, and public transportation. For example, if a user wants to learn about a specific area, the generative AI creates and provides a video tour introducing the main facilities and tourist attractions of that area. Next, when a prospective resident seeks information about vacant house renovations, the generative AI visually introduces past success stories to provide a concrete image. The generative AI also performs a simulation of the renovation costs and provides it to the user. For example, it simulates the costs and construction period for renovating a specific vacant house and presents it to the user. Furthermore, when a prospective resident seeks advice regarding life after relocation, the generative AI responds in real time. For example, if a user asks about the living environment in the relocation destination or connections with the local community, the generative AI provides an appropriate answer. Furthermore, a chatbot will be used to provide real-time support for pre- and post-relocation consultations. In addition, as marketing support, a generative AI will place keyword ads related to rural relocation on search engines to attract potential migrants. For example, ads related to specific regions will be displayed to promote relocation to those areas. Advertising will also be used to conduct promotions targeting specific demographics. In this way, by utilizing generative AI, an integrated platform will be realized that provides information on rural relocation, support for vacant house renovation, and support for life after relocation in a single location. This will help migrants to rural areas to start their new lives with peace of mind, maximize the appeal of the region, and aim for the revitalization and sustainable growth of the entire region.

[0063] The integrated platform according to this embodiment comprises an information provision unit, a renovation support unit, a lifestyle support unit, and a marketing support unit. The information provision unit provides local information. For example, the information provision unit automatically generates and provides information such as the local living environment, medical facilities, educational institutions, and public transportation. For example, the information provision unit can use a generation AI to create and provide video tours introducing major local facilities and tourist attractions. The information provision unit can also automatically generate and provide interviews with local residents to users. The renovation support unit provides support for vacant house renovations. For example, the renovation support unit can visually introduce past successful cases and simulate the costs involved in renovations. For example, the renovation support unit can simulate and present to users the costs and construction period for renovating a specific vacant house. The renovation support unit can also automatically generate and provide a list of materials necessary for renovations. The lifestyle support unit provides support for life after relocation. The Life Support Department, for example, provides real-time consultations regarding life after relocation. For instance, if a user asks about the living environment in their new location or connections with the local community, the Life Support Department's AI can provide appropriate answers. The Life Support Department can also provide real-time information on local community events. The Marketing Support Department provides marketing support. For example, the Marketing Support Department can place keyword ads related to relocating to rural areas on search engines and conduct promotions targeting specific demographics. The Marketing Support Department can also display ads related to specific regions to promote relocation to those regions. Furthermore, the Marketing Support Department can automatically generate success stories related to relocating to rural areas and use them in advertising. As a result, the integrated platform according to this embodiment can provide regional information, support for renovating vacant houses, post-relocation life support, and marketing support in a unified manner.

[0064] The Information Provision Department provides local information. For example, it automatically generates and provides information on local living environments, medical facilities, educational institutions, and public transportation. Specifically, it can use a generation AI to create and provide users with video tours introducing major local facilities and tourist attractions. These video tours combine drone footage and local photographs with narration to create visually appealing content. The Information Provision Department can also automatically generate and provide users with interviews with local residents. The generation AI analyzes past interview and survey data to generate interview content in a natural conversational format. This allows users to experience the actual living environment and the voices of the residents in a realistic way. Furthermore, the Information Provision Department can update and provide users with local event information and the latest news in real time. For example, it has a function to automatically collect local festivals, cultural events, and local news and notify users. This allows users to always stay informed about the latest local information and smoothly adapt to life in their new location. The Information Provision Department centrally manages this information and can provide customized information according to user needs. For example, if a user is interested in a specific medical facility or educational institution, that information can be prioritized and displayed. This allows the information provider to offer users the most relevant local information and support their relocation decisions.

[0065] The Renovation Support Department provides support for renovating vacant properties. For example, it visually showcases past successful projects and simulates the costs involved in renovation. Specifically, it can use generative AI to generate before-and-after images and videos of past renovation projects and provide them to users. This allows users to form a concrete image of their own renovation. The Renovation Support Department can also simulate and present the costs and construction period for renovating a specific vacant property. The generative AI takes into account the building's structure and condition, the types of materials used, etc., to provide detailed cost estimates and construction period predictions. Furthermore, the Renovation Support Department can automatically generate and provide a list of materials necessary for renovation. For example, it can list specific items such as wall materials, flooring materials, and lighting fixtures, and provide information on their prices and where to purchase them. This allows users to efficiently procure the materials necessary for their renovation. The Renovation Support Department centrally manages this information and can provide customized support according to the user's needs. For example, if a user is interested in a particular design or style, that information can be provided preferentially. This allows the renovation support department to provide users with the most suitable renovation support and promote the effective use of vacant properties.

[0066] The Life Support Department provides support for life after relocation. For example, it can provide real-time consultations regarding life after moving. Specifically, it can use generative AI to provide appropriate answers when users ask questions about the living environment in their new location or connections with the local community. The generative AI generates quick and accurate answers to user questions based on past consultations and local information. The Life Support Department can also provide real-time information on local community events. For example, it has a function to automatically collect information on local festivals, cultural events, and local news and notify users. This allows users to always stay informed about the latest local information and smoothly adapt to life in their new location. Furthermore, the Life Support Department can also provide information on procedures and services necessary for life after relocation. For example, it provides centralized information on things needed after relocation, such as resident registration, how to use public services, and how to visit medical institutions. This reduces anxiety about life after relocation and allows users to start their new life with peace of mind. The Life Support Department can centrally manage this information and provide customized support according to the user's needs. For example, if a user is interested in a particular service or procedure, it can prioritize providing that information. This allows the Life Support Department to provide users with optimal lifestyle support, enabling them to smoothly transition into life after relocating.

[0067] The Marketing Support Department provides marketing support. For example, the Marketing Support Department can place keyword ads related to rural relocation on search engines and conduct promotions targeting specific demographics. Specifically, it can use generative AI to select effective keywords related to rural relocation and automatically generate ad copy. This allows for the display of optimal ads to target demographics and promotes relocation. The Marketing Support Department can also display ads related to specific regions to promote relocation to those regions. The generative AI generates ad copy that emphasizes the characteristics and attractions of the region, effectively appealing to users. Furthermore, the Marketing Support Department can automatically generate success stories related to rural relocation and use them in advertisements. For example, based on the experiences and success stories of past relocators, the generative AI generates natural-sounding text for use in advertisements. This allows users to refer to actual success stories and support their relocation decision-making. The Marketing Support Department can centrally manage this information and provide customized marketing support according to user needs. For example, it can propose optimal advertising strategies for specific regions and target demographics. In this way, the Marketing Support Department can provide optimal marketing support to users and promote rural relocation.

[0068] The information provision unit can automatically generate and provide information on local living environments, medical facilities, educational institutions, and public transportation. For example, the information provision unit can automatically generate and provide users with detailed information on local living environments. For example, the information provision unit can automatically generate and provide users with a list of local medical facilities and their access methods. The information provision unit can also automatically generate and provide users with information on local educational institutions. For example, the information provision unit can automatically generate and provide users with introductions to major local educational institutions and information on enrollment procedures. Furthermore, the information provision unit can automatically generate and provide users with information on local public transportation. For example, the information provision unit can automatically generate and provide users with local bus and train timetables and route maps. This enables the automatic generation and provision of detailed local information to users. Some or all of the above processing in the information provision unit is performed using a generation AI. For example, the information provision unit inputs data on local living environments into the generation AI, and the generation AI automatically generates information based on that data.

[0069] The renovation support department can visually showcase past success stories and simulate renovation costs. For example, it can present past success stories using images and videos to provide users with a concrete image. For instance, it can use AI to generate before-and-after images of a specific vacant house renovation and provide them to the user. Furthermore, the renovation support department can simulate renovation costs and provide them to the user. For example, it can simulate the costs and construction period for a specific vacant house renovation and present them to the user. In addition, the renovation support department can automatically generate and provide a list of materials needed for renovation. For example, it can automatically generate a list of building materials and tools needed for renovation and provide it to the user. This allows users to get a concrete image of the renovation and simulate costs. Some or all of the above processes in the renovation support department are performed using generation AI. For example, the renovation support department inputs data from past successful cases into a generating AI, which then generates visuals based on that data.

[0070] The Life Support Department can provide real-time consultations regarding life after relocation. For example, if a user asks about the living environment in their new location or connections with the local community, the Life Support Department's generating AI will provide appropriate answers. For example, if a user asks about medical facilities or educational institutions in their new location, the generating AI can provide detailed information. The Life Support Department can also provide real-time information on local community events. For example, the Life Support Department will provide real-time information on events held at local community centers. Furthermore, the Life Support Department can automatically generate and provide guides on procedures necessary for life after relocation. For example, the Life Support Department can automatically generate and provide users with a guide on the resident registration procedures necessary after relocation. This enables the department to provide real-time consultations regarding life after relocation. Some or all of the above processes in the Life Support Department are performed using the generating AI. For example, the Life Support Department inputs the user's question into the generating AI, and the generating AI generates an answer to that question.

[0071] The Marketing Support Department can run keyword ads related to rural relocation on search engines and conduct promotions targeting specific demographics. For example, the Marketing Support Department can display ads related to a specific region to encourage relocation to that region. For example, the Marketing Support Department can use a generation AI to create ads that showcase the attractions of a specific region and run them on search engines. The Marketing Support Department can also automatically generate success stories related to rural relocation and use them in its ads. For example, the Marketing Support Department can automatically generate interviews with families who have successfully relocated to rural areas and use them in its ads. Furthermore, the Marketing Support Department can analyze and optimize the effectiveness of its ads in real time. For example, the Marketing Support Department can analyze and optimize the click-through rate and conversion rate of its ads in real time. This allows the department to run keyword ads related to rural relocation and conduct promotions targeting specific demographics. Some or all of the above processes in the Marketing Support Department are performed using generation AI. For example, the Marketing Support Department inputs the ad content into the generation AI, and the generation AI generates the ad based on that content.

[0072] The information provider can estimate the user's emotions and adjust the level of detail of the information provided based on the estimated emotions. For example, if the user is feeling anxious, the information provider can provide detailed information to reassure them. If the user is excited, the information provider can provide concise and to-the-point information to maintain their interest. If the user is relaxed, the information provider can provide general information to maintain their relaxed state. This allows the level of detail of the information provided to be adjusted according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the information provider is performed using generative AI. For example, the information provider inputs user emotion data into the generative AI, and the generative AI adjusts the level of detail of the information based on that data.

[0073] The information provision department can automatically generate and provide information on seasonal events in the region. For example, it can automatically generate and provide information on major seasonal events such as cherry blossom viewing events in spring and fireworks displays in summer. The information provision department can also automatically generate and provide information on traditional local festivals and cultural events to users. Furthermore, the information provision department can automatically generate and provide information on seasonal sports events and outdoor activities. For example, it can automatically generate and provide schedules and participation methods for local sports events to users. In this way, it can automatically generate and provide information on seasonal events in the region. Some or all of the above processing in the information provision department is performed using a generation AI. For example, the information provision department inputs local event data into the generation AI, and the generation AI automatically generates event information based on that data.

[0074] The information provision department can automatically generate and provide local resident interviews to users. For example, the information provision department can automatically generate interviews with long-time residents to convey the charm of the area. For example, the information provision department can automatically generate interviews with newly moved residents to share their experiences of relocating. The information provision department can also automatically generate interviews with local business owners to introduce the local economic situation and business opportunities. For example, the information provision department can automatically generate success stories of local business owners and provide them to users. In this way, local resident interviews can be automatically generated and provided to users. Some or all of the above processing in the information provision department is performed using a generation AI. For example, the information provision department inputs resident interview data into the generation AI, and the generation AI automatically generates interviews based on that data.

[0075] The information provider can estimate the user's emotions and adjust the display order of information based on the estimated emotions. For example, if the user is excited, the information provider can display the most interesting information first. If the user is feeling anxious, the information provider can display reassuring information first. Also, if the user is relaxed, the information provider can display general information in a sequential order. This allows the display order of information to be adjusted according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the information provider is performed using generative AI. For example, the information provider inputs user emotion data into the generative AI, and the generative AI adjusts the display order of information based on that data.

[0076] The information provision unit can automatically generate and provide information on local history and culture. For example, it can automatically generate and provide information on local historical buildings and ruins. For example, it can automatically generate and provide information on local traditional festivals and cultural events to users. Furthermore, the information provision unit can automatically generate and provide information on local historical events and figures. For example, it can automatically generate and provide detailed information on local historical events and figures to users. In this way, it can automatically generate and provide information on local history and culture. Some or all of the above processing in the information provision unit is performed using a generation AI. For example, the information provision unit inputs data on local history and culture into the generation AI, and the generation AI automatically generates information based on that data.

[0077] The Information Provision Department can automatically generate and provide regional real estate market trends. For example, it can automatically generate and provide the latest regional real estate price trends. For example, it can analyze past data on regional real estate transactions and predict future market trends. The Information Provision Department can also automatically generate and provide news and reports on the regional real estate market. For example, it can automatically generate and provide the latest news and reports on the regional real estate market to users. This enables the automatic generation and provision of regional real estate market trends. Some or all of the above processing in the Information Provision Department is performed using a generation AI. For example, the Information Provision Department inputs regional real estate market data into the generation AI, and the generation AI automatically generates market trends based on that data.

[0078] The renovation support department can estimate the user's emotions and adjust the proposed renovation plan based on those emotions. For example, if the user is feeling anxious, the renovation support department can provide a detailed renovation plan to reassure them. If the user is excited, for example, the renovation support department can provide a concise and to-the-point renovation plan to maintain their interest. Also, if the user is relaxed, the renovation support department can provide a general renovation plan to maintain their relaxed state. In this way, the proposed renovation plan can be adjusted according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the renovation support department is performed using generative AI. For example, the renovation support department inputs the user's emotion data into the generative AI, and the generative AI adjusts the proposed renovation plan based on that data.

[0079] The renovation support department can automatically generate and provide lists of materials necessary for renovation. For example, it can automatically generate and provide lists of building materials and tools necessary for renovation. For example, it can automatically generate and provide lists of furniture and interior items necessary for renovation. Furthermore, the renovation support department can also automatically generate and provide lists of electrical equipment and plumbing necessary for renovation. For example, it can automatically generate and provide detailed lists of electrical equipment and plumbing necessary for renovation. This enables the automatic generation and provision of lists of materials necessary for renovation. Some or all of the above processes in the renovation support department are performed using a generation AI. For example, the renovation support department inputs data on materials necessary for renovation into the generation AI, and the generation AI automatically generates a list of materials based on that data.

[0080] The renovation support department can track the progress of the renovation in real time and notify the user. For example, the renovation support department can track the progress of each stage of the renovation in real time and notify the user. For example, the renovation support department can notify the user of the preparation for the next stage depending on the progress of the renovation. In addition, if a problem occurs in the progress of the renovation, the renovation support department can notify the user in real time and propose countermeasures. For example, if a problem occurs in the progress of the renovation, the renovation support department can detect that problem in real time and notify the user. This allows the renovation progress to be tracked in real time and notified to the user. Some or all of the above processes in the renovation support department are performed using a generation AI. For example, the renovation support department inputs renovation progress data into the generation AI, which tracks the progress based on that data and notifies the user.

[0081] The renovation support department can estimate the user's emotions and determine renovation priorities based on those estimated emotions. For example, if the user is feeling anxious, the renovation support department will prioritize renovation items that provide a sense of security. If the user is excited, the renovation support department can prioritize renovation items that pique their interest. Furthermore, if the user is relaxed, the renovation support department can prioritize general renovation items. This allows the renovation priorities to be determined according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the renovation support department is performed using generative AI. For example, the renovation support department inputs user emotion data into the generative AI, which then determines renovation priorities based on that data.

[0082] The Renovation Support Department can automatically generate and provide users with legal procedures related to renovations. For example, the Renovation Support Department can automatically generate and provide users with building permit applications necessary for renovations. For example, the Renovation Support Department can automatically generate and provide users with contracts and agreements related to renovations. Furthermore, the Renovation Support Department can automatically generate and provide users with guidelines for legal procedures related to renovations. For example, the Renovation Support Department can automatically generate and provide users with detailed guidelines for legal procedures necessary for renovations. This enables the automatic generation and provision of legal procedures related to renovations to users. Some or all of the above processes in the Renovation Support Department are performed using a generation AI. For example, the Renovation Support Department inputs data related to legal procedures into the generation AI, and the generation AI automatically generates legal procedures based on that data.

[0083] The Renovation Support Department can automatically generate and provide information on local contractors related to renovations. For example, the Renovation Support Department can automatically generate and provide lists of local renovation contractors. For example, the Renovation Support Department can automatically generate and provide ratings and reviews of local renovation contractors to users. Furthermore, the Renovation Support Department can automatically generate and provide past performance data of local renovation contractors. For example, the Renovation Support Department can automatically generate and provide success stories of local renovation contractors to users. In this way, it can automatically generate and provide information on local contractors related to renovations. Some or all of the above processes in the Renovation Support Department are performed using a generation AI. For example, the Renovation Support Department inputs local contractor information into the generation AI, and the generation AI automatically generates contractor information based on that data.

[0084] The Life Support Department can estimate the user's emotions and adjust the content of life support based on those estimated emotions. For example, if the user is feeling anxious, the Life Support Department can provide detailed life support information to reassure them. For example, if the user is excited, the Life Support Department can provide concise and to-the-point life support information to maintain their interest. Furthermore, if the user is relaxed, the Life Support Department can provide general life support information to maintain their relaxed state. This allows the content of life support to be adjusted according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the Life Support Department are performed using generative AI. For example, the Life Support Department inputs the user's emotion data into the generative AI, and the generative AI adjusts the content of life support based on that data.

[0085] The Life Support Department can provide real-time information on local community events. For example, it can provide real-time information on events held at local community centers. For example, it can provide real-time information on events held at local sports clubs and cultural circles. Furthermore, the Life Support Department can also provide real-time information on events held at local schools and educational institutions. For example, it can provide real-time information on cultural festivals and sports events held at local schools. This allows for the provision of real-time information on local community events. Some or all of the above processing in the Life Support Department is performed using a generative AI. For example, the Life Support Department inputs local community event data into the generative AI, and the generative AI provides event information in real time based on that data.

[0086] The Life Support Department can automatically generate and provide guides for procedures necessary for life after relocation. For example, the Life Support Department can automatically generate and provide a guide for resident registration procedures necessary after relocation. For example, the Life Support Department can automatically generate and provide a guide for procedures for using public services necessary after relocation. Furthermore, the Life Support Department can automatically generate and provide a guide for registration procedures for medical institutions necessary after relocation. For example, the Life Support Department can automatically generate and provide a detailed guide for registration procedures for medical institutions necessary after relocation. In this way, guides for procedures necessary for life after relocation can be automatically generated and provided. Some or all of the above processing in the Life Support Department is performed using a generation AI. For example, the Life Support Department inputs data related to procedures into the generation AI, and the generation AI automatically generates a procedure guide based on that data.

[0087] The Life Support Department can estimate the user's emotions and determine the priority of life support based on those emotions. For example, if the user is feeling anxious, the Life Support Department will prioritize life support items that provide a sense of security. If the user is excited, the Life Support Department can prioritize life support items that pique their interest. Furthermore, if the user is relaxed, the Life Support Department can prioritize general life support items. This allows the priority of life support to be determined according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may include, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the Life Support Department are performed using generative AI. For example, the Life Support Department inputs user emotion data into the generative AI, which then determines the priority of life support based on that data.

[0088] The Life Support Department can integrate with and provide access to the reservation systems of local medical institutions. For example, the Life Support Department can integrate with and provide access to the reservation systems of local hospitals and clinics. For example, the Life Support Department can integrate with and provide access to the reservation systems of local dental clinics and ophthalmology clinics. Furthermore, the Life Support Department can also integrate with and provide access to the reservation systems of local specialists and clinics. For example, the Life Support Department can integrate with and provide access to the reservation systems of local specialists. This enables integration with and provision of access to the reservation systems of local medical institutions. Some or all of the above processing in the Life Support Department is performed using a generation AI. For example, the Life Support Department inputs reservation data from medical institutions into the generation AI, and the generation AI then integrates with the reservation system based on that data.

[0089] The Life Support Department can automatically generate and provide information on admission procedures for local educational institutions. For example, the Life Support Department can automatically generate and provide information on admission procedures for local elementary and junior high schools. For example, the Life Support Department can automatically generate and provide information on admission procedures for local high schools and vocational schools. In addition, the Life Support Department can automatically generate and provide information on admission procedures for local universities and junior colleges. For example, the Life Support Department can automatically generate and provide information on admission procedures for local universities. This enables the automatic generation and provision of admission procedures information for local educational institutions. Some or all of the above processing in the Life Support Department is performed using a generation AI. For example, the Life Support Department inputs admission procedure data for educational institutions into the generation AI, and the generation AI automatically generates admission procedure information based on that data.

[0090] The Marketing Support Department can estimate a user's emotions and adjust the content of advertisements based on those emotions. For example, if a user is feeling anxious, the Marketing Support Department can provide reassuring advertisements. If a user is excited, the Marketing Support Department can provide engaging advertisements. Furthermore, if a user is relaxed, the Marketing Support Department can provide general advertisements. This allows for the adjustment of advertisement content according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the Marketing Support Department are performed using generative AI. For example, the Marketing Support Department inputs user emotion data into the generative AI, which then adjusts the advertisement content based on that data.

[0091] The Marketing Support Department can automatically generate success stories related to rural relocation and use them in advertising. For example, the Marketing Support Department can automatically generate interviews with families who have successfully relocated to rural areas and use them in advertising. For example, the Marketing Support Department can automatically generate testimonials from remote workers who have successfully relocated to rural areas and use them in advertising. Furthermore, the Marketing Support Department can automatically generate stories of families with children who have successfully relocated to rural areas and use them in advertising. For example, the Marketing Support Department can automatically generate detailed interviews with families who have successfully relocated to rural areas and provide them to users. This allows for the automatic generation of success stories related to rural relocation and their use in advertising. Some or all of the above processes in the Marketing Support Department are performed using a generation AI. For example, the Marketing Support Department inputs data on success stories into the generation AI, and the generation AI automatically generates success stories based on that data.

[0092] The Marketing Support Department can analyze and optimize the effectiveness of advertisements in real time. For example, it can analyze and optimize the click-through rate and conversion rate of advertisements in real time. For example, it can analyze and optimize the number of impressions and the number of times an advertisement is displayed in real time. Furthermore, the Marketing Support Department can analyze and optimize the response of the target audience to advertisements in real time. For example, the Marketing Support Department analyzes the response of the target audience to advertisements in real time and optimizes the content of the advertisements. This allows for the real-time analysis and optimization of the effectiveness of advertisements. Some or all of the above processes in the Marketing Support Department are performed using generative AI. For example, the Marketing Support Department inputs advertisement effectiveness data into the generative AI, which then analyzes and optimizes the effectiveness of the advertisements in real time based on that data.

[0093] The Marketing Support Department can estimate a user's emotions and adjust the timing of ad display based on those emotions. For example, if a user is relaxed, the Marketing Support Department can adjust the timing of ad display. For example, if a user is excited, the Marketing Support Department can adjust the timing of ad display. Furthermore, if a user is feeling anxious, the Marketing Support Department can adjust the timing of ad display. This allows for adjusting the timing of ad display according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the Marketing Support Department is performed using generative AI. For example, the Marketing Support Department inputs user emotion data into the generative AI, and the generative AI adjusts the timing of ad display based on that data.

[0094] The Marketing Support Department can automatically generate webinars on rural relocation and use them as advertisements. For example, the Marketing Support Department can automatically generate lectures by experts on rural relocation and provide them as webinars. For example, the Marketing Support Department can automatically generate testimonials from people who have successfully relocated to rural areas and provide them as webinars. In addition, the Marketing Support Department can automatically generate the latest information and trends on rural relocation and provide them as webinars. For example, the Marketing Support Department can automatically generate the latest information on rural relocation and provide it to users. This allows for the automatic generation of webinars on rural relocation and their use as advertisements. Some or all of the above processes in the Marketing Support Department are performed using a generation AI. For example, the Marketing Support Department inputs the webinar content into the generation AI, and the generation AI automatically generates the webinar based on that content.

[0095] The Marketing Support Department can automatically generate and implement social media campaigns related to relocating to rural areas. For example, the Marketing Support Department can automatically generate and implement hashtag campaigns related to relocating to rural areas on social media. For example, the Marketing Support Department can automatically generate and implement photo contests related to relocating to rural areas on social media. Furthermore, the Marketing Support Department can automatically generate and implement quiz campaigns related to relocating to rural areas on social media. For example, the Marketing Support Department can automatically generate and provide quiz campaigns related to relocating to rural areas to users. This enables the automatic generation and implementation of social media campaigns related to relocating to rural areas. Some or all of the above processes in the Marketing Support Department are performed using a generation AI. For example, the Marketing Support Department inputs the content of a social media campaign into the generation AI, and the generation AI automatically generates a social media campaign based on that content.

[0096] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0097] The information provider can estimate the user's emotions and adjust the level of detail of the information provided based on the estimated emotions. For example, if the user is feeling anxious, the information provider can provide detailed information to reassure them. If the user is excited, the information provider can provide concise and to-the-point information to maintain their interest. If the user is relaxed, the information provider can provide general information to maintain their relaxed state. This allows the level of detail of the information provided to be adjusted according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the information provider is performed using generative AI. For example, the information provider inputs user emotion data into the generative AI, and the generative AI adjusts the level of detail of the information based on that data.

[0098] The renovation support department can estimate the user's emotions and adjust the proposed renovation plan based on those emotions. For example, if the user is feeling anxious, the renovation support department can provide a detailed renovation plan to reassure them. If the user is excited, for example, the renovation support department can provide a concise and to-the-point renovation plan to maintain their interest. Also, if the user is relaxed, the renovation support department can provide a general renovation plan to maintain their relaxed state. In this way, the proposed renovation plan can be adjusted according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the renovation support department is performed using generative AI. For example, the renovation support department inputs the user's emotion data into the generative AI, and the generative AI adjusts the proposed renovation plan based on that data.

[0099] The Life Support Department can estimate the user's emotions and adjust the content of life support based on those estimated emotions. For example, if the user is feeling anxious, the Life Support Department can provide detailed life support information to reassure them. For example, if the user is excited, the Life Support Department can provide concise and to-the-point life support information to maintain their interest. Furthermore, if the user is relaxed, the Life Support Department can provide general life support information to maintain their relaxed state. This allows the content of life support to be adjusted according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the Life Support Department are performed using generative AI. For example, the Life Support Department inputs the user's emotion data into the generative AI, and the generative AI adjusts the content of life support based on that data.

[0100] The Marketing Support Department can estimate a user's emotions and adjust the content of advertisements based on those emotions. For example, if a user is feeling anxious, the Marketing Support Department can provide reassuring advertisements. If a user is excited, the Marketing Support Department can provide engaging advertisements. Furthermore, if a user is relaxed, the Marketing Support Department can provide general advertisements. This allows for the adjustment of advertisement content according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the Marketing Support Department are performed using generative AI. For example, the Marketing Support Department inputs user emotion data into the generative AI, which then adjusts the advertisement content based on that data.

[0101] The Marketing Support Department can estimate a user's emotions and adjust the timing of ad display based on those emotions. For example, if a user is relaxed, the Marketing Support Department can adjust the timing of ad display. For example, if a user is excited, the Marketing Support Department can adjust the timing of ad display. Furthermore, if a user is feeling anxious, the Marketing Support Department can adjust the timing of ad display. This allows for adjusting the timing of ad display according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the Marketing Support Department is performed using generative AI. For example, the Marketing Support Department inputs user emotion data into the generative AI, and the generative AI adjusts the timing of ad display based on that data.

[0102] The information provision department can automatically generate and provide information on seasonal events in the region. For example, it can automatically generate and provide information on major seasonal events such as cherry blossom viewing events in spring and fireworks displays in summer. The information provision department can also automatically generate and provide information on traditional local festivals and cultural events to users. Furthermore, the information provision department can automatically generate and provide information on seasonal sports events and outdoor activities. For example, it can automatically generate and provide schedules and participation methods for local sports events to users. In this way, it can automatically generate and provide information on seasonal events in the region. Some or all of the above processing in the information provision department is performed using a generation AI. For example, the information provision department inputs local event data into the generation AI, and the generation AI automatically generates event information based on that data.

[0103] The information provision department can automatically generate and provide local resident interviews to users. For example, the information provision department can automatically generate interviews with long-time residents to convey the charm of the area. For example, the information provision department can automatically generate interviews with newly moved residents to share their experiences of relocating. The information provision department can also automatically generate interviews with local business owners to introduce the local economic situation and business opportunities. For example, the information provision department can automatically generate success stories of local business owners and provide them to users. In this way, local resident interviews can be automatically generated and provided to users. Some or all of the above processing in the information provision department is performed using a generation AI. For example, the information provision department inputs resident interview data into the generation AI, and the generation AI automatically generates interviews based on that data.

[0104] The information provision unit can automatically generate and provide information on local history and culture. For example, it can automatically generate and provide information on local historical buildings and ruins. For example, it can automatically generate and provide information on local traditional festivals and cultural events to users. Furthermore, the information provision unit can automatically generate and provide information on local historical events and figures. For example, it can automatically generate and provide detailed information on local historical events and figures to users. In this way, it can automatically generate and provide information on local history and culture. Some or all of the above processing in the information provision unit is performed using a generation AI. For example, the information provision unit inputs data on local history and culture into the generation AI, and the generation AI automatically generates information based on that data.

[0105] The Renovation Support Department can automatically generate and provide users with legal procedures related to renovations. For example, the Renovation Support Department can automatically generate and provide users with building permit applications necessary for renovations. For example, the Renovation Support Department can automatically generate and provide users with contracts and agreements related to renovations. Furthermore, the Renovation Support Department can automatically generate and provide users with guidelines for legal procedures related to renovations. For example, the Renovation Support Department can automatically generate and provide users with detailed guidelines for legal procedures necessary for renovations. This enables the automatic generation and provision of legal procedures related to renovations to users. Some or all of the above processes in the Renovation Support Department are performed using a generation AI. For example, the Renovation Support Department inputs data related to legal procedures into the generation AI, and the generation AI automatically generates legal procedures based on that data.

[0106] The Life Support Department can integrate with and provide access to the reservation systems of local medical institutions. For example, the Life Support Department can integrate with and provide access to the reservation systems of local hospitals and clinics. For example, the Life Support Department can integrate with and provide access to the reservation systems of local dental clinics and ophthalmology clinics. Furthermore, the Life Support Department can also integrate with and provide access to the reservation systems of local specialists and clinics. For example, the Life Support Department can integrate with and provide access to the reservation systems of local specialists. This enables integration with and provision of access to the reservation systems of local medical institutions. Some or all of the above processing in the Life Support Department is performed using a generation AI. For example, the Life Support Department inputs reservation data from medical institutions into the generation AI, and the generation AI then integrates with the reservation system based on that data.

[0107] The following briefly describes the processing flow for example form 2.

[0108] Step 1: The information provision department provides local information. For example, it automatically generates and provides information on local living environment, medical facilities, educational institutions, and public transportation. It can also generate and provide video tours introducing major local facilities and tourist attractions using AI. Furthermore, it can automatically generate and provide interviews with local residents to users. Step 2: The renovation support department provides assistance for renovating vacant houses. For example, it visually showcases past successful cases and simulates the costs involved in renovation. It can simulate and present to users the costs and construction period for renovating a specific vacant house. It can also automatically generate and provide a list of materials necessary for renovation. Step 3: The Life Support Department provides support for life after relocation. For example, it provides real-time consultations regarding life after moving. When users ask questions about the living environment in their new location or connections with the local community, the AI ​​can provide appropriate answers. It can also provide real-time information on local community events. Step 4: The Marketing Support Department provides marketing support. For example, they place keyword ads related to relocating to rural areas on search engines and conduct promotions targeting specific demographics. They can also display ads related to specific regions to encourage relocation to those areas. Furthermore, they can automatically generate success stories related to relocating to rural areas and use them in their advertising.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] Each of the multiple elements described above, including the information provision unit, renovation support unit, lifestyle support unit, and marketing support unit, is implemented by, for example, at least one of the smart device 14 and the data processing unit 12. For example, the information provision unit is implemented by the control unit 46A of the smart device 14 and provides information such as local living environment and medical facilities. The renovation support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and performs cost simulations for renovating vacant houses. The lifestyle support unit is implemented by, for example, the control unit 46A of the smart device 14 and responds to real-time consultations regarding life after relocation. The marketing support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and places keyword advertisements related to relocating to rural areas. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be changed in various ways.

[0113] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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).

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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.).

[0125] 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.

[0126] 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.

[0127] 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.

[0128] Each of the multiple elements described above, including the information provision unit, renovation support unit, lifestyle support unit, and marketing support unit, is implemented by, for example, at least one of the smart glasses 214 and the data processing unit 12. For example, the information provision unit is implemented by the control unit 46A of the smart glasses 214 and provides information such as local living environment and medical facilities. The renovation support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and performs cost simulations for renovating vacant houses. The lifestyle support unit is implemented by, for example, the control unit 46A of the smart glasses 214 and responds to real-time consultations regarding life after relocation. The marketing support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and places keyword advertisements related to relocating to rural areas. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be changed in various ways.

[0129] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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).

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.).

[0141] 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.

[0142] 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.

[0143] 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.

[0144] Each of the multiple elements described above, including the information provision unit, renovation support unit, lifestyle support unit, and marketing support unit, is implemented by, for example, at least one of the headset terminal 314 and the data processing unit 12. For example, the information provision unit is implemented by the control unit 46A of the headset terminal 314 and provides information such as local living environment and medical facilities. The renovation support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and performs cost simulations for renovating vacant houses. The lifestyle support unit is implemented by, for example, the control unit 46A of the headset terminal 314 and responds to real-time consultations regarding life after relocation. The marketing support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and places keyword advertisements related to relocating to rural areas. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be changed in various ways.

[0145] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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).

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.).

[0158] 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.

[0159] 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.

[0160] 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.

[0161] Each of the multiple elements described above, including the information provision unit, renovation support unit, lifestyle support unit, and marketing support unit, is implemented by, for example, at least one of the robot 414 and the data processing unit 12. For example, the information provision unit is implemented by the control unit 46A of the robot 414 and provides information such as the local living environment and medical facilities. The renovation support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and performs cost simulations for renovating vacant houses. The lifestyle support unit is implemented by, for example, the control unit 46A of the robot 414 and responds to real-time consultations regarding life after relocation. The marketing support unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and places keyword advertisements related to relocating to rural areas. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be changed in various ways.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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."

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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.

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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.

[0178] 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.

[0179] 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.

[0180] (Note 1) The Information Provision Department provides local information, Based on the information provided by the aforementioned Information Provision Department, the Renovation Support Department provides support for the renovation of vacant houses, Based on the information provided by the aforementioned renovation support department, the lifestyle support department provides support for residents after they move in. The system includes a Marketing Support Department that provides marketing support based on information provided by the aforementioned Life Support Department. A system characterized by the following features. (Note 2) The aforementioned information provision unit, It automatically generates and provides information on local living environments, medical facilities, educational institutions, public transportation, and more. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned renovation support department, We will visually showcase past success stories and simulate the costs involved in renovations. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned Life Support Department, We provide real-time consultations regarding life after relocation. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned Marketing Support Department We will run keyword ads related to relocating to rural areas on search engines and conduct promotions targeting our target audience. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned information provision unit, It estimates the user's emotions and adjusts the level of detail of the information provided based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned information provision unit, Automatically generates and provides seasonal event information for the region. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned information provision unit, Automatically generates and provides local resident interviews to users. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned information provision unit, It estimates the user's emotions and adjusts the order in which information is displayed based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned information provision unit, Automatically generates and provides information about local history and culture. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned information provision unit, Automatically generates and provides regional real estate market trends. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned renovation support department, It estimates the user's emotions and adjusts the proposed renovation plan based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned renovation support department, We automatically generate and provide a list of materials needed for renovation. The system described in Appendix 1, characterized by the features described herein. (Note 14) The aforementioned renovation support department, Track the progress of the renovation in real time and notify the user. The system described in Appendix 1, characterized by the features described herein. (Note 15) The aforementioned renovation support department, The system estimates user emotions and determines renovation priorities based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 16) The aforementioned renovation support department, This system automatically generates and provides users with legal procedures related to renovations. The system described in Appendix 1, characterized by the features described herein. (Note 17) The aforementioned renovation support department, Automatically generates and provides information on local contractors related to renovations. The system described in Appendix 1, characterized by the features described herein. (Note 18) The aforementioned Life Support Department, The system estimates the user's emotions and adjusts the content of lifestyle support based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 19) The aforementioned Life Support Department, Providing real-time information on local community events. The system described in Appendix 1, characterized by the features described herein. (Note 20) The aforementioned Life Support Department, We automatically generate and provide a guide to the procedures necessary for life after relocating. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned Life Support Department, The system estimates the user's emotions and determines the priority of lifestyle support based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned Life Support Department, We integrate with the reservation system of local medical institutions and provide it to users. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned Life Support Department, Automatically generates and provides admission information for local educational institutions. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned Marketing Support Department It estimates the user's emotions and adjusts the ad content based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned Marketing Support Department Automatically generate success stories about relocating to rural areas and use them in advertising. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned Marketing Support Department Analyze and optimize the effectiveness of your advertising in real time. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned Marketing Support Department It estimates the user's emotions and adjusts the timing of ad display based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned Marketing Support Department Automatically generate webinars about relocating to rural areas and use them as advertisements. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned Marketing Support Department Automate the generation and implementation of social media campaigns related to relocating to rural areas. The system described in Appendix 1, characterized by the features described herein. [Explanation of Symbols]

[0181] 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 Information Provision Department provides local information, Based on the information provided by the aforementioned Information Provision Department, the Renovation Support Department provides support for the renovation of vacant houses, Based on the information provided by the aforementioned renovation support department, the lifestyle support department provides support for residents after they move in. The system includes a Marketing Support Department that provides marketing support based on information provided by the aforementioned Life Support Department. A system characterized by the following features.

2. The aforementioned information provision unit, It automatically generates and provides information on local living environments, medical facilities, educational institutions, public transportation, and more. The system according to feature 1.

3. The aforementioned renovation support department, We will visually showcase past success stories and simulate the costs involved in renovations. The system according to feature 1.

4. The aforementioned Life Support Department, We provide real-time consultations regarding life after relocation. The system according to feature 1.

5. The aforementioned Marketing Support Department We will run keyword ads related to relocating to rural areas on search engines and conduct promotions targeting our target audience. The system according to feature 1.

6. The aforementioned information provision unit, It estimates the user's emotions and adjusts the level of detail of the information provided based on those estimated emotions. The system according to feature 1.

7. The aforementioned information provision unit, Automatically generates and provides seasonal event information for the region. The system according to feature 1.

8. The aforementioned information provision unit, Automatically generates and provides local resident interviews to users. The system according to feature 1.

9. The aforementioned information provision unit, It estimates the user's emotions and adjusts the order in which information is displayed based on those estimated emotions. The system according to feature 1.

10. The aforementioned information provision unit, Automatically generates and provides information about local history and culture. The system according to feature 1.

Images