System

Abstract

A system is provided.SOLUTION: The system includes a means for previewing a property in a metaverse space, a means for acting for negotiation and contract procedures with a real estate agent or a public institution by using a generation system AI, and a means for automating an infrastructure procedure by cooperating with a plurality of infrastructure providing enterprises.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] The procedures associated with moving are diverse and complex, requiring a great deal of time and effort from users. For this reason, there is a demand for a system that can handle all moving-related procedures in one place and in a simple manner. In particular, there is a need for a system that can quickly and efficiently handle property viewings, negotiations and contract procedures with real estate agents and public institutions, and various infrastructure procedures. [Means for solving the problem]

[0005] To solve the above-mentioned problems, the present invention provides the following means: a means for viewing properties in a metaverse space; a means for using generative AI to negotiate and process contracts with real estate agents and public institutions; and a means for automating infrastructure procedures by collaborating with multiple infrastructure providers. It also includes a means for providing a 3D model and detailed information about the property selected by the user, and a means for allowing the user to select the infrastructure provider they need after completing the contract process. This configuration allows users to complete all procedures related to moving in one place, significantly reducing time and effort.

[0006] A "metaverse space" is a digital virtual space constructed using virtual reality technology, which users can access via the Internet and can carry out various activities without relying on a physical space.

[0007] "Generative AI" is a type of artificial intelligence technology that refers to algorithms that can automatically generate sentences and decisions based on large amounts of data.

[0008] "Property viewing" refers to the act of checking the interior of a property such as a house, and is an important procedure when considering purchasing or renting.

[0009] A "real estate agent" is a company or individual that deals in the buying, selling, and renting of real estate, and is a professional who introduces properties and handles contract-related procedures.

[0010] A "public institution" is an organization established for the public, such as a national or local government, that provides services and manages various procedures.

[0011] "Infrastructure provider" refers to a company that provides basic services (infrastructure) such as electricity, gas, water, and the Internet.

[0012] A "3D model" is a digital representation of the shape and structure of an object in three-dimensional space.

[0013] "Detailed information" refers to specific information about the property, including information about the location, size, price, facilities, etc.

[0014] A "digital signature" is a type of signature that is applied to electronic documents and is used to ensure the security of communications and to prevent tampering.

[0015] "User" refers to an individual or organization that uses the system.

[0016] "Terminal" refers to a device used by a user to access the system, including a smartphone, computer, etc.

[0017] A "server" refers to a computer that provides services to other computers on a network. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0019] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0020] First, the terms used in the following description will be explained.

[0021] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0022] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0023] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0024] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0025] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0029] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0030] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0031] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0032] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0033] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0036] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0037] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0038] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0039] The present invention is a system that simplifies procedures related to moving, allowing property viewing in the metaverse space, using generative AI to negotiate and handle contract procedures with real estate agents and public institutions, and automating infrastructure procedures through collaboration with infrastructure providers. Specific embodiments are described below.

[0040] Preview in the Metaverse space

[0041] 1. The user launches the Easy Move application and logs in.

[0042] 2. The server authenticates the user's login information and sends the authentication results to the terminal.

[0043] 3. Upon successful authentication, the device displays the option to begin browsing the metaverse.

[0044] 4. The user selects the property they would like to view.

[0045] 5. The server streams the 3D model and details of the selected property to the device.

[0046] 6. Users can use a virtual reality headset or compatible display to tour the property.

[0047] As a specific example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset.

[0048] Negotiations and contract procedures handled by generative AI

[0049] 1. After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like.

[0050] 2. The device sends the user's selection to the server.

[0051] 3. The server launches the generative AI model and begins negotiating with real estate agents and public institutions on behalf of the user.

[0052] 4. The generating AI periodically notifies the device via the server of the negotiation content and progress.

[0053] 5. The server summarizes the negotiation results, obtains the user's consent, generates a final contract, and digitally signs it.

[0054] As a specific example, a user likes "Apartment A" and leaves the price negotiation to the AI. The AI ​​negotiates the price with the real estate agent and notifies the user of the details after the negotiation is complete. If the user agrees, the AI ​​generates a final contract and digitally signs it.

[0055] Collaboration with infrastructure providers

[0056] 1. After the user completes the contract, the device displays the options to select infrastructure providers (electricity, gas, water, etc.).

[0057] 2. The user selects a company that provides the infrastructure products they need.

[0058] 3. The device sends the selection to the server.

[0059] 4. The server automatically initiates service start procedures with the selected infrastructure provider.

[0060] 5. Once the server receives confirmation from the infrastructure provider, it will notify the device.

[0061] For example, if a user selects "ABC Electric Power" and "XYZ Water" as their electricity and water contract partners, the server will send the user's information to both companies and automatically complete the procedures up to the start of service. Once completed, the user will be notified.

[0062] In this way, users can complete all processes in one go, from viewing the property in the metaverse space to contract procedures and automated infrastructure procedures, significantly reducing the time and effort required for moving.

[0063] The processing flow will be explained below.

[0064] Preview in the Metaverse space

[0065] Step 1:

[0066] The user launches the "Easy Move" application and enters login information.

[0067] Step 2:

[0068] The terminal collects the entered authentication information and sends it to the server.

[0069] Step 3:

[0070] The server verifies the received authentication information and sends the authentication result to the terminal.

[0071] Step 4:

[0072] The device will display the authentication results and, if successful, will display the option to begin browsing the metaverse.

[0073] Step 5:

[0074] The user selects the property they wish to view.

[0075] Step 6:

[0076] The terminal sends the ID of the selected property to the server.

[0077] Step 7:

[0078] The server searches for the property's 3D model and detailed information and generates streaming data.

[0079] Step 8:

[0080] The server transmits the streaming data to the terminal.

[0081] Step 9:

[0082] The device receives the streamed data and displays a 3D model of the property in the virtual space.

[0083] Step 10:

[0084] Users can view properties using a VR headset or compatible display.

[0085] Negotiations and contract procedures handled by generative AI

[0086] Step 1:

[0087] After viewing, users select the option to begin negotiations and contract procedures for properties they like.

[0088] Step 2:

[0089] The terminal transmits the user's selection to the server.

[0090] Step 3:

[0091] The server launches the generative AI model and collects the necessary information (property details, user information, etc.).

[0092] Step 4:

[0093] The generative AI will begin negotiations with the real estate agent and propose the price, contract terms, etc.

[0094] Step 5:

[0095] The generated AI periodically updates the negotiation content and progress to the server.

[0096] Step 6:

[0097] The server notifies the user's terminal of the updated information.

[0098] Step 7:

[0099] The user confirms the negotiation details and sends additional instructions (e.g., price renegotiation) to the server via the terminal.

[0100] Step 8:

[0101] The generation AI will summarize the final negotiation results and generate a final contract to obtain the user's consent.

[0102] Step 9:

[0103] The server sends the final contract to the terminal, and the user digitally signs it.

[0104] Collaboration with infrastructure providers

[0105] Step 1:

[0106] After the user completes the contract procedure, they can check the options for the necessary infrastructure products (electricity, gas, water, etc.).

[0107] Step 2:

[0108] The user selects the infrastructure product provider they need.

[0109] Step 3:

[0110] The device sends the selection to the server.

[0111] Step 4:

[0112] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider.

[0113] Step 5:

[0114] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[0115] Step 6:

[0116] Once the server receives confirmation that the procedure has been completed, it will notify the user's device.

[0117] Step 7:

[0118] The terminal displays a notification to the user that the procedure is complete.

[0119] Example 1

[0120] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0121] Moving procedures today require a wide range of preparations and procedures, placing a significant burden on users' time and effort. Furthermore, property viewings, price negotiations, and infrastructure contract procedures are often carried out as separate processes, resulting in overall inefficiency. For this reason, there is a demand for a system that can perform the entire moving process seamlessly and efficiently.

[0122] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0123] In this invention, the server includes a means for viewing properties in the metaverse space, a means for using generative AI to negotiate and process contracts with real estate agents and public institutions, a means for coordinating with multiple infrastructure providers and automating infrastructure procedures, a means for activating a generative AI model and negotiating real estate prices on behalf of the user, a means for streaming a 3D model and detailed information of the real estate property in real time, and a means for the user to view the property using a virtual reality headset. This allows the user to complete all processes, from viewing the property to contract procedures and automated infrastructure procedures, all in one place in the metaverse space.

[0124] The "metaverse space" is a virtual three-dimensional space constructed using virtual reality technology, where users can view properties through virtual reality headsets or compatible devices.

[0125] "Generative AI" is artificial intelligence that uses natural language processing and machine learning techniques based on large datasets to negotiate with real estate agents and public institutions on behalf of users.

[0126] A "real estate agent" refers to a company or individual who acts as an intermediary in the sale, purchase, or rental of real estate.

[0127] A "public institution" is an organization that provides public services or procedures, such as a local government or government agency.

[0128] An "infrastructure provider" is a company that provides basic infrastructure services necessary for daily life, such as electricity, gas, and water.

[0129] A "viewing" is the act of looking around inside a property before purchasing or renting it.

[0130] A "3D model" is digital data with a three-dimensional shape or structure that is displayed using computer graphics.

[0131] "Streaming transmission" is a technology for transmitting content such as audio, video, and data over a network in real time.

[0132] A "virtual reality headset" is a device worn by a user to visually experience a virtual space.

[0133] A "prompt sentence" is a sentence used to input specific instructions to a generative AI model, allowing the AI ​​to respond appropriately or output based on those instructions.

[0134] "Real-time" refers to processing or communication occurring immediately, without delay.

[0135] This invention is a system that allows users to efficiently carry out procedures related to moving, primarily by allowing them to view properties in the metaverse space, using generative AI to negotiate and process contracts with real estate agents and public institutions, and automating infrastructure procedures through collaboration with infrastructure providers. Below we will explain how to specifically implement this system.

[0136] Preview in the Metaverse space

[0137] The user launches the Easy Move app on their smartphone or PC and logs in. The server compares the received user ID and password with the information in the database and sends the authentication result to the device. If the device confirms successful authentication, it displays an option to start a metaverse tour. When the user selects a desired property from the displayed list of candidate properties, the server retrieves a 3D model and detailed information of the selected property from the database and streams them to the device in real time. The user then uses a virtual reality headset or compatible display to tour the property in a virtual space. For example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model of Apartment A and its detailed information to the device. The user then uses a VR headset to begin the virtual tour while enjoying a realistic visual experience.

[0138] Negotiations and contract procedures handled by generative AI

[0139] After the virtual viewing, the user selects the option to negotiate the price and conditions of the property. The device sends the user's request to start negotiations to the server. The server launches a generative AI model, and the generative AI negotiates directly with the real estate agent or public institution using the specified prompt as input. For example, the prompt could be, "Please negotiate a price reduction of approximately 10% for Apartment A." The generative AI considers an appropriate negotiation strategy and automatically begins negotiations, with progress periodically notified to the device via the server. The server generates a final contract based on the negotiation results provided by the generative AI and digitally signs it. The device then asks the user to confirm the final contract and signature. If the user agrees, the AI ​​digitally signs it.

[0140] Collaboration with infrastructure providers

[0141] After the contract is completed, the terminal displays options for selecting the necessary infrastructure product providers (electricity, gas, water, etc.). The user selects the desired infrastructure provider from the displayed list. The terminal then sends information about the infrastructure provider selected by the user to the server. The server automatically sends the user's information along with the necessary procedures to the selected infrastructure provider, and carries out the procedures to start the infrastructure service. When the server receives an approval notification from the infrastructure provider, it immediately notifies the terminal of the result. For example, if a user selects "ABC Electric Power" and "XYZ Water" as their electricity and water contract partners, the server sends the user's information to both companies and automatically carries out the procedures up to the start of service. Once the procedures are complete, the user is notified.

[0142] This allows users to carry out all the processes required for moving in one place, from viewing properties in the metaverse space to negotiating and contract procedures using generative AI, and even automating infrastructure procedures.

[0143] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0144] System program processing flow

[0145] Preview in the Metaverse space

[0146] Step 1:

[0147] The user launches the Easy Move app on their smartphone or PC and displays the login screen. Specifically, they enter their user ID and password and send the login information from the device.

[0148] Step 2:

[0149] The server compares the received user ID and password with the information in the database and determines whether the authentication was successful. Here, the input is the user's authentication information and the output is the authentication result. If the authentication is successful, the server generates an authentication token and sends it to the terminal.

[0150] Step 3:

[0151] The terminal confirms the successful authentication notification received from the server and displays the option to start browsing the metaverse on the screen. The input is the successful authentication notification from the server, and the output is a user interface that displays the option to start browsing the metaverse.

[0152] Step 4:

[0153] The user selects the desired property from the displayed list of potential properties. The user's selection is the input, and information about the selected property is the output.

[0154] Step 5:

[0155] The server retrieves the 3D model and details of the selected property from the database and streams them to the device in real time. Here, the input is the property ID selected by the user, and the output is a data stream of the 3D model and details of the property.

[0156] Step 6:

[0157] A user uses a virtual reality headset or compatible display to virtually tour a property. Specifically, the user walks around the room, checking the furniture arrangement and room size. The input is a streamed 3D model and detailed information, and the output is the user's visual experience.

[0158] Negotiations and contract procedures handled by generative AI

[0159] Step 1:

[0160] After the virtual viewing, the user selects an option to negotiate the price and terms of the property. The user's selection is the input, and a request to start negotiations is the output.

[0161] Step 2:

[0162] The terminal sends the user's negotiation initiation request to the server, where the input is the user's request and the output is the negotiation request sent to the server.

[0163] Step 3:

[0164] The server launches the generative AI model and sends a prompt as input to the model. The input is a user-provided prompt, and the output is a negotiation strategy generated by the AI. Specifically, the prompt used is "Please negotiate a price reduction of approximately 10% for Apartment A."

[0165] Step 4:

[0166] The generation AI negotiates directly with real estate agents and public institutions, and notifies the terminal of the progress via the server. The input is the negotiation data acquired by the AI, and the output is a progress notification. The generation AI periodically checks the progress and sends the results to the server.

[0167] Step 5:

[0168] The server generates a final contract based on the negotiation results provided by the AI ​​and digitally signs it. Specifically, the contract is created based on the data provided by the AI ​​and signed using digital signature software. The input is the negotiation results, and the output is a signed contract.

[0169] Step 6:

[0170] The terminal asks the user to confirm the final contract and signature. The input is the signed contract, and the output is a confirmation screen displayed in the user interface. If the user agrees, the AI ​​digitally signs it.

[0171] Collaboration with infrastructure providers

[0172] Step 1:

[0173] After the contract is completed, the terminal displays the options to select the necessary infrastructure providers (electricity, gas, water, etc.). The input is a contract completion notification, and the output is a list of infrastructure providers.

[0174] Step 2:

[0175] The user selects the desired infrastructure provider from the displayed list. The input is a list of infrastructure providers, and the output is the user's selection.

[0176] Step 3:

[0177] The terminal transmits information about the infrastructure provider selected by the user to the server, where the input is the user's selection information and the output is the information transmitted to the server.

[0178] Step 4:

[0179] The server automatically sends the necessary procedures along with the user information to the selected infrastructure provider, and carries out the procedures to start the infrastructure service. The input is the user information and the selected infrastructure provider information, and the output is the automated procedure data.

[0180] Step 5:

[0181] When the server receives a confirmation notification from the infrastructure provider, it immediately notifies the terminal of the result. Specifically, the server receives confirmation from each infrastructure company and sends it to the terminal in real time. The input is the confirmation notification from the infrastructure company, and the output is the notification to the terminal.

[0182] The above is a specific explanation of each processing step of the system program.

[0183] (Application example 1)

[0184] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0185] Conventional moving-related procedures require a lot of time and effort, and are complicated because they require separate procedures such as viewing properties, negotiating and signing contracts with real estate agents, and completing procedures with public institutions and infrastructure providers. These processes are also cumbersome for users, reducing overall efficiency. The present invention aims to significantly reduce the time and effort required for moving by integrating and automating these procedures.

[0186] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0187] In this invention, the server includes means for viewing properties in the metaverse space, means for using generative AI to negotiate and process contracts with real estate agents and public institutions, means for coordinating with multiple infrastructure providers and automating infrastructure procedures, means for including a virtual real estate agent application running on a smart device, means for rendering 3D models, means for notifying users of the progress of the negotiation process using a generative AI model, means for generating contracts using digital signatures, and means for automatically setting up infrastructure services. This allows users to complete everything from viewing properties to completing contract procedures and infrastructure procedures all in one place in the metaverse space, thereby streamlining and shortening the time required for moving-related processes.

[0188] The "metaverse space" is a virtual three-dimensional space constructed on the Internet, where users can carry out various activities through avatars.

[0189] "Property viewing" refers to the act of viewing the interior of a real estate property selected by the user, allowing the user to visually experience a realistically recreated property using virtual reality technology.

[0190] "Generative AI" is a type of artificial intelligence model that has the ability to learn patterns from large amounts of data and generate new information.

[0191] "Means of acting on behalf of the user in negotiations and contract procedures" refers to a function in which the generative AI negotiates and processes contracts with real estate agents and public institutions on behalf of the user.

[0192] "Infrastructure providers" refer to companies that provide basic services such as electricity, gas, water, and communications.

[0193] "Means for automating infrastructure procedures" refers to a system function that automatically carries out the necessary contract procedures with the infrastructure provider selected by the user.

[0194] The "Virtual Real Estate Agent Application" is an application that runs on smart devices and allows users to search for, view, negotiate, and sign contracts for real estate properties in a virtual space.

[0195] "Smart devices" refers to portable electronic devices with internet connectivity, such as smartphones, tablets, smart glasses, and head-mounted displays.

[0196] A "3D model" refers to a model of a property that is reproduced in a three-dimensional virtual space, allowing users to visually check the details of the property.

[0197] "Rendering" refers to the process by which a computer generates and displays an image from three-dimensional data.

[0198] "Means of notifying the progress of the negotiation process using a generative AI model" refers to a function in which the generative AI analyzes the progress of the negotiation and notifies the user of the results in real time.

[0199] A "digital signature" is a method for electronically guaranteeing the authenticity of a document and is used in legal documents such as contracts.

[0200] "Automatic setup of infrastructure services" is a process of automatically performing the necessary settings for the infrastructure provision services selected by the user.

[0201] This invention is a system that uses a "virtual real estate agent application" that runs on a smart device to perform property viewings in the metaverse space, negotiate and complete contract procedures with real estate agents using generative AI, and automatically connect with infrastructure providers.

[0202] The following hardware and software are used to implement the present invention.

[0203] Hardware: iPhone, Android smartphone, Oculus Quest 2

[0204] Software: Unity (3D application development), OpenAI GPT-4 (generative AI), AWS RDS (database)

[0205] System program processing

[0206] Property viewing in the Metaverse

[0207] The server sends a 3D model and detailed information of the property selected by the user to the device, where the user can visually check it using a VR headset. Detailed information about each room and facility within the property is also provided at the same time, giving the user the experience of actually visiting the property.

[0208] Generative AI for Negotiation and Contract Procedures

[0209] When a user selects an option to begin negotiations and contract procedures for a property they like, the device sends that information to the server. The server then activates a generative AI model and negotiates with real estate agents and public institutions on the user's behalf. The device is periodically notified of the negotiation content and progress via the server. Once the negotiation is complete and the user agrees, the generative AI generates a final contract and digitally signs it.

[0210] Collaboration with infrastructure providers

[0211] After completing the contract, the user selects the necessary infrastructure provider from the options displayed on the terminal. When that information is sent to the server, the server automatically initiates the service start procedure with the selected company. Once confirmation is received from the infrastructure provider, the server notifies the terminal. This eliminates the need for the user to perform any additional steps for infrastructure procedures.

[0212] Specific examples

[0213] As a concrete example, after logging in, a user can select Apartment A in a major city and view a 3D model and detailed information about the property using a VR headset. The AI ​​then negotiates the price and, with the user's consent, generates and signs a final contract. The AI ​​then automatically processes the contract with the infrastructure provider selected by the user, completing the entire process in one go.

[0214] Prompt Sentence Examples

[0215] "Please negotiate the price with the real estate agent regarding Apartment A in a major city that User ID 12345 is viewing and notify me of the results."

[0216] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0217] Step 1:

[0218] A user logs into the "Virtual Real Estate Agent" application.

[0219] Input: User login information (email address and password)

[0220] Process: The device uses Firebase Authentication to send login information to the server for authentication.

[0221] Output: Sends a successful authentication notification to the device.

[0222] Step 2:

[0223] Upon successful authentication, the device will display an option to begin browsing the metaverse.

[0224] Input: Authentication success notification

[0225] Action: Display the option to start the tour on the terminal screen.

[0226] Output: User's selection to start preview

[0227] Step 3:

[0228] The user selects the property they wish to view.

[0229] Input: Property selection information

[0230] Processing: The terminal sends the ID of the selected property to the server.

[0231] Output: The server provides a 3D model of the property and detailed information.

[0232] Step 4:

[0233] The server streams a 3D model and detailed information of the selected property to the device.

[0234] Input: Property ID

[0235] Processing: The server retrieves the property's 3D model and detailed information from the database (AWS RDS) and streams it to the device.

[0236] Output: The 3D model and detailed information will be displayed on your device.

[0237] Step 5:

[0238] Users can use a VR headset to view the property.

[0239] Input: 3D model and detailed information

[0240] Processing: The device uses Unity to render the 3D model and display it on the VR headset.

[0241] Output: A virtual property tour experience for the user

[0242] Step 6:

[0243] The user selects the option to begin negotiations and contract procedures after viewing.

[0244] Input: User's choice to start negotiation / contract procedure

[0245] Processing: The terminal sends the selection information to the server.

[0246] Output: Server launches generative AI model

[0247] Step 7:

[0248] Generative AI will begin negotiations with real estate agents and public institutions.

[0249] Input: User negotiation information

[0250] Processing: The server uses the OpenAI GPT-4 API to launch the generation AI and automatically generate the negotiation content. The server inputs a prompt and generates the negotiation content.

[0251] Output: The progress and results of the negotiation are stored on the server and periodically sent to the terminal.

[0252] Step 8:

[0253] The server summarizes the negotiation results and notifies the user.

[0254] Input: Negotiation result by GPT-4

[0255] Processing: The server analyzes the negotiation result, notifies the user of the result, and accepts the user's feedback.

[0256] Output: User consent or correction request

[0257] Step 9:

[0258] If the user consents, the generation AI will generate the final contract and digitally sign it.

[0259] Input: User consent

[0260] Processing: The server uses the DocuSign API to generate a final, digitally signed contract.

[0261] Output: A completed, digitally signed contract

[0262] Step 10:

[0263] After the user completes the contract, the system displays options for selecting infrastructure product providers.

[0264] Input: Notice of Contract Completion

[0265] Action: Display infrastructure selection options on the terminal screen.

[0266] Output: User's infrastructure product selection

[0267] Step 11:

[0268] The user selects a company that provides the infrastructure products they need.

[0269] Input: Infrastructure provider selection information

[0270] Processing: The device sends the selection to the server.

[0271] Output: Server starts infrastructure procedures

[0272] Step 12:

[0273] The server automatically completes the service start-up procedures with the infrastructure provider.

[0274] Input: Infrastructure provider selection information

[0275] Processing: The server performs the procedure via the infrastructure provider's API and obtains confirmation that the service has started.

[0276] Output: Send a notification to the terminal that the infrastructure procedure is complete.

[0277] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0278] The present invention is a system that simplifies the user's moving procedure and provides a more personalized experience by combining an emotion engine. Specific embodiments that combine an emotion engine will be described below.

[0279] Preview in the Metaverse space

[0280] 1. The user launches the Easy Move application and enters their login information.

[0281] 2. The server authenticates the user's login information and sends the authentication results to the terminal.

[0282] 3. Upon successful authentication, the device displays the option to begin browsing the metaverse.

[0283] 4. The user selects the property they would like to view.

[0284] 5. The device sends the ID of the selected property to the server.

[0285] 6. The server retrieves the property's 3D model and detailed information and generates streaming data.

[0286] 7. The server sends the streaming data to the device.

[0287] 8. The device receives the streamed data and displays a 3D model of the property in the virtual space.

[0288] 9. Users can tour the property using a VR headset or compatible display.

[0289] 10. The device uses an emotion engine to analyze the user's emotions during the viewing and transmits the results to the server in real time.

[0290] 11. The server accumulates emotional data and understands the user's reactions.

[0291] As a concrete example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset. At the same time, the emotion engine analyzes the user's emotions (for example, surprise or joy) and sends them to the server in real time.

[0292] Negotiations and contract procedures handled by generative AI

[0293] 1. After viewing, the user selects the option to begin negotiations and contract procedures for the property they like.

[0294] 2. The device sends the user's selection to the server.

[0295] 3. The server launches the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).

[0296] 4. The generative AI begins negotiations with the real estate agent and proposes the price, contract terms, etc.

[0297] 5. The generated AI periodically updates the negotiation content and progress to the server.

[0298] 6. The server notifies the user's device of the updated information.

[0299] 7. The user confirms the negotiation details and sends additional instructions (e.g., renegotiating the price) to the server via the terminal.

[0300] 8. The generation AI summarizes the final negotiation results and generates a final contract for the user's consent.

[0301] 9. The server sends the final contract to the terminal, and the user digitally signs it, etc.

[0302] As a concrete example, a user likes "Apartment A" and leaves the price negotiation to the AI. The AI ​​negotiates the price with the real estate agent, updating the negotiation status in real time, along with feedback on the user's emotional reaction. After the negotiation, the content is notified to the user, and if the user agrees, the generation AI generates a final contract and digitally signs it.

[0303] Collaboration with infrastructure providers

[0304] 1. After the user completes the contract procedure, they check the selection options for the necessary infrastructure products (electricity, gas, water, etc.).

[0305] 2. The user selects the infrastructure product provider they need.

[0306] 3. The device sends the selection to the server.

[0307] 4. The server automatically generates and sends a procedure request for starting the service to the selected infrastructure provider.

[0308] 5. The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[0309] 6. Once the server receives confirmation that the procedure has been completed, it notifies the user's device.

[0310] 7. The terminal displays a notification to the user that the procedure is complete.

[0311] As a specific example, if a user selects "electric power company A" and "water company B" as their electricity and water contract partners, the server will send the user's information to both companies, automatically carry out the procedures up to the start of service, and notify the user once completion has been completed.

[0312] Through these processes, users can efficiently complete the complex procedures related to moving all at once, and the emotion engine reflects the user's emotions in real time, allowing for more personalized service.

[0313] The processing flow will be explained below.

[0314] Preview in the Metaverse space

[0315] Step 1:

[0316] The user launches the "Easy Move" application and enters login information.

[0317] Step 2:

[0318] The terminal collects the entered authentication information and sends it to the server.

[0319] Step 3:

[0320] The server verifies the received authentication information and sends the authentication result to the terminal.

[0321] Step 4:

[0322] The device will display the authentication results and, if successful, will display the option to begin browsing the metaverse.

[0323] Step 5:

[0324] The user selects the property they wish to view.

[0325] Step 6:

[0326] The terminal sends the ID of the selected property to the server.

[0327] Step 7:

[0328] The server searches for the property's 3D model and detailed information and generates streaming data.

[0329] Step 8:

[0330] The server transmits the streaming data to the terminal.

[0331] Step 9:

[0332] The device receives the streamed data and displays a 3D model of the property in the virtual space.

[0333] Step 10:

[0334] Users can view properties using a VR headset or compatible display.

[0335] Step 11:

[0336] The device uses an emotion engine to analyze the user's facial expressions and voice during the viewing and transmits the data to the server in real time.

[0337] Step 12:

[0338] The server accumulates emotional data and grasps the user's reactions in real time.

[0339] Negotiations and contract procedures handled by generative AI

[0340] Step 1:

[0341] After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like.

[0342] Step 2:

[0343] The terminal transmits the user's selection to the server.

[0344] Step 3:

[0345] The server launches the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).

[0346] Step 4:

[0347] The generative AI will begin negotiations with the real estate agent and propose the price, contract terms, etc.

[0348] Step 5:

[0349] The generated AI periodically updates the negotiation content and progress to the server.

[0350] Step 6:

[0351] The server notifies the user's terminal of the updated information.

[0352] Step 7:

[0353] The user confirms the negotiation details and sends additional instructions (e.g., price renegotiation) to the server via the terminal.

[0354] Step 8:

[0355] The generation AI will summarize the final negotiation results and generate a final contract to obtain the user's consent.

[0356] Step 9:

[0357] The server sends the final contract to the terminal, and the user digitally signs it.

[0358] Collaboration with infrastructure providers

[0359] Step 1:

[0360] After the user completes the contract procedure, they can check the options for the necessary infrastructure products (electricity, gas, water, etc.).

[0361] Step 2:

[0362] The user selects the infrastructure product provider they need.

[0363] Step 3:

[0364] The device sends the selection to the server.

[0365] Step 4:

[0366] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider.

[0367] Step 5:

[0368] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[0369] Step 6:

[0370] Once the server receives confirmation that the procedure has been completed, it will notify the user's device.

[0371] Step 7:

[0372] The terminal displays a notification to the user that the procedure is complete.

[0373] Example 2

[0374] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0375] Conventional moving procedures require complicated procedures and numerous steps, placing a heavy burden on users. Furthermore, personalized services that take into account the user's feelings are not provided, and the user experience is generally limited.

[0376] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for authenticating a user by having the user launch an application and enter login information; means for the authenticated user to select a property they wish to view and send the ID of the selected property to the server; means for the server to search for a 3D model and detailed information of the property and generate and send streaming data; means for the terminal to receive the streaming data and display the 3D model of the property in a virtual space; means for the terminal to analyze the user's emotions during the viewing using an emotion analysis engine and send the analysis data to the server in real time; means for the server to accumulate emotion data and understand the user's reactions; means for starting negotiations with a real estate agent using a generative AI and updating the server with the negotiation content and progress; means for the generative AI to generate a final contract and for the user to digitally sign it; and means for coordinating with multiple infrastructure providers and automating infrastructure procedures. This allows users to efficiently complete complicated moving procedures and enjoy personalized services based on their emotions.

[0377] "User" refers to an individual or corporation that uses this system to carry out moving procedures.

[0378] "Application" refers to a software program that a user uses to operate through a terminal.

[0379] "Login information" refers to authentication information such as user ID and password that a user enters when accessing a system.

[0380] "Server" refers to a central processing unit that processes data and provides information in response to user requests.

[0381] "Property" refers to the building or home that the user selects as their destination.

[0382] "ID of selected property" refers to an identifier that uniquely identifies the property that the user wishes to view.

[0383] A "3D model" refers to data that reproduces the three-dimensional structure of a property in virtual space.

[0384] "Detailed information" refers to information about the property, such as location, layout, and facilities.

[0385] "Streaming data" refers to data transmitted from a server to a terminal in real time.

[0386] "Terminal" refers to a device operated by a user (e.g., a smartphone, tablet, PC, etc.).

[0387] "Virtual space" refers to a three-dimensional virtual reality environment generated by a computer.

[0388] An "emotion analysis engine" refers to an algorithm or software for analyzing user emotions.

[0389] "Generative AI" refers to an artificial intelligence system that automatically negotiates with real estate agents and generates contracts.

[0390] "Infrastructure provider" refers to a company that provides infrastructure services such as electricity, gas, and water.

[0391] A "digital signature" refers to a means of signing a contract or document electronically.

[0392] The present invention is a system that simplifies the user's moving process and, by combining it with a sentiment analysis engine, provides a more personalized experience.

[0393] First, a user launches the application on their device and enters their login information. This login information is sent to the server, which authenticates it. If authentication is successful, the device displays an option to start viewing properties in the metaverse space. The user selects this option and chooses the property they want.

[0394] The device then sends the ID of the selected property to the server, which then searches for the property's 3D model and detailed information and generates streaming data. This streaming data is then sent from the server to the device, which receives it and displays the property's 3D model in a virtual space. The user can then view the property in detail in the virtual space using a VR headset or compatible display.

[0395] Furthermore, the user's emotions during the viewing are analyzed in real time using an emotion analysis engine installed on the device. This emotion data is sent from the device to a server, which then stores it and can grasp the user's reaction.

[0396] After viewing the property, if the user wishes to begin negotiations or contract procedures for a property they like, they select an option displayed on their device. The device sends this selection to the server, which then activates the generative AI model to collect the necessary information. The generative AI begins negotiations with the real estate agent and updates the server with the progress. The user can review this information on their device and provide additional instructions as needed. The generative AI then summarizes the final negotiation results and generates a final contract, which the user can then digitally sign.

[0397] Once the contract procedures are complete, the user can select a provider of infrastructure products (electricity, gas, water, etc.). This selection is sent from the device to the server, which then automatically initiates the service start procedure with each provider. Once the procedure is complete, the server notifies the user's device, and the device displays a completion message to the user.

[0398] As a specific example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset. At the same time, the emotion analysis engine analyzes the user's emotions (for example, surprise or joy) and sends the information to the server in real time. If the user likes the property and leaves the price negotiations to the generation AI, the generation AI will negotiate the price with the real estate agent, and the user will be notified of the negotiation status via the server. The final contract is then generated and digitally signed. Finally, the user selects an infrastructure provider, and the process to start the service is automatically completed.

[0399] An example of a prompt using a generative AI model might be:

[0400] "Create a program that allows a user to negotiate the price of a property they have selected with a real estate agent, and notifies the user of the progress in real time."

[0401] In this way, the user can efficiently go through the complicated procedures related to moving and can enjoy personalized services based on their emotions.

[0402] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0403] Step 1:

[0404] A user starts an application and enters login information. A user opens an application and enters their user ID and password. This input data is sent from the device to the server.

[0405] Step 2:

[0406] The server authenticates the user's login information and sends the authentication result to the terminal. The server compares the received user ID and password with the database and generates an authentication result (success or failure). The authentication result is sent to the terminal.

[0407] Step 3:

[0408] When authentication is successful, the device displays an option to start browsing the metaverse. The device receives a notification of successful authentication and displays a button to start browsing on the screen. The user selects the option to start browsing.

[0409] Step 4:

[0410] The user selects the property they wish to view. The user selects the property they wish to view from the property list displayed on the screen. This selection information (property ID) is sent from the terminal to the server.

[0411] Step 5:

[0412] The terminal sends the ID of the selected property to the server. The terminal sends the property ID to the server, and the server receives the ID.

[0413] Step 6:

[0414] The server searches for the property's 3D model and detailed information and generates streaming data.The server searches the database based on the received property ID and obtains the property's 3D model and detailed information.The server generates streaming data based on this data.

[0415] Step 7:

[0416] The server transmits the streaming data to the terminal. The server transmits the generated streaming data to the terminal. The terminal receives it.

[0417] Step 8:

[0418] The device receives the streamed data and displays a 3D model of the property in the virtual space. The device processes the received streamed data and displays a 3D model of the property in the virtual space. The user begins viewing the property using a VR headset.

[0419] Step 9:

[0420] The device analyzes the user's emotions during the viewing using an emotion analysis engine and sends the data to the server in real time. The device uses cameras and sensors to capture the user's facial expressions and behavior, which are then analyzed using the emotion analysis engine. This analyzed data is then sent to the server.

[0421] Step 10:

[0422] The server accumulates the emotional data and understands the user's reaction. The server accumulates the received emotional data in a database and analyzes and understands the user's reaction.

[0423] Step 11:

[0424] After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like. The user selects the option to begin negotiations displayed on the screen. This selection is sent from the terminal to the server.

[0425] Step 12:

[0426] The server runs the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).The server runs the generative AI model and collects property details, user information, and emotional data.

[0427] Step 13:

[0428] The generation AI starts negotiations with the real estate agent and proposes the price and contract terms. The generation AI starts negotiations with the real estate agent on the price and contract terms. The progress of this negotiation is updated to the server.

[0429] Step 14:

[0430] The generation AI periodically updates the negotiation content and progress to the server. The generation AI sends the negotiation progress and new proposals to the server.

[0431] Step 15:

[0432] The server notifies the user's device of the updated information. The server notifies the user's device of the progress status from the generated AI. The user confirms this.

[0433] Step 16:

[0434] The user confirms the negotiation details and sends additional instructions (e.g., renegotiating the price) to the server via the terminal. The user confirms the negotiation details and gives additional instructions as necessary. This instruction information is sent from the terminal to the server.

[0435] Step 17:

[0436] The generation AI summarizes the final negotiation results and generates a final contract to obtain the user's consent.The generation AI generates a final contract based on the final negotiation results and carries out the procedure to obtain the user's consent.

[0437] Step 18:

[0438] The server sends the final contract to the terminal, and the user digitally signs it, etc. The server sends the final contract to the user's terminal, and the user digitally signs it.

[0439] Step 19:

[0440] After the user completes the contract procedure, they can check the selection options for the necessary infrastructure products (electricity, gas, water, etc.). The user can view the selection options for infrastructure products on the screen after the contract is completed.

[0441] Step 20:

[0442] The user selects the infrastructure provider they need. The user selects the infrastructure provider on the screen, and this selection information is sent from the terminal to the server.

[0443] Step 21:

[0444] The terminal sends the selection to the server. The terminal sends the user's selection to the server, which receives it.

[0445] Step 22:

[0446] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider. The server automatically generates and transmits a service start request to the corresponding infrastructure provider.

[0447] Step 23:

[0448] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure. The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[0449] Step 24:

[0450] Once the server receives confirmation that the procedure has been completed, it notifies the user's device. The server receives a notification of completion of the procedure from the infrastructure provider and notifies the user's device.

[0451] Step 25:

[0452] The terminal displays a notification to the user that the procedure has been completed. The terminal receives the notification and displays a completion message on the screen.

[0453] (Application example 2)

[0454] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0455] Today, when users use food delivery services, the process of selecting food and ordering is complicated, resulting in an inconsistent user experience. Furthermore, personalized suggestions based on user preferences and emotions are not provided, leading to low satisfaction. Furthermore, the infrastructure procedures after ordering are performed manually, which is time-consuming and labor-intensive.

[0456] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0457] In this invention, the server includes a means for displaying a 3D model of the food or dish selected by the user in the metaverse space, a means for acquiring the user's emotional data using an emotion analysis engine and having a generative AI model suggest dishes and provide special offers, a means for using the generative AI to negotiate with food service providers and handle ordering procedures on behalf of the user, and a means for coordinating with multiple infrastructure providers and automating infrastructure procedures. This allows the user to check the dishes in detail in the virtual space, receive personalized suggestions and special offers based on their emotions, and automate ordering and infrastructure procedures, improving overall convenience and satisfaction.

[0458] "User" means an individual or organization that orders food or meals using the food delivery service.

[0459] "Food or dishes" includes dishes and ingredients ordered and delivered through food delivery services.

[0460] "3D Model" means a three-dimensional digital representation of a food or dish that is visually displayed in the Metaverse space.

[0461] The "metaverse space" is a digital world in which users participate using virtual reality (VR) technology.

[0462] An "emotion analysis engine" is a technology that recognizes and analyzes emotions from a user's facial expressions, voice, gestures, etc.

[0463] A "generative AI model" refers to an artificial intelligence algorithm that generates new dish suggestions and special offers based on user emotional data, etc.

[0464] "Food and beverage providers" are companies and stores that provide food and meals through food delivery services.

[0465] "Negotiation and ordering process" refers to the process of negotiating prices and terms with a food and beverage provider on behalf of the user and finalizing the order.

[0466] "Infrastructure providers" are companies that provide necessary supplies and services related to food delivery services, such as logistics, containers, and cutlery.

[0467] "Means for automating infrastructure procedures" refers to technologies and processes for automating communication and procedures with infrastructure providers.

[0468] This invention is a system that displays 3D models in the metaverse space, analyzes emotions, and provides suggestions and special offers using generative AI models when a user uses a food delivery service, as well as automatically connecting with infrastructure providers. Specific embodiments are described below.

[0469] 1. User registration and first login

[0470] The server receives account information from the user and authenticates the login information. The software used is the authentication API and requests library. After authentication, the server sends the authentication results to the terminal, and the user logs in to the "Smart Food Delivery" application.

[0471] 2. Food selection and 3D model display

[0472] Users select the food or dish they want to order from categories within the app. The device sends the selected item information to the server, which then generates a corresponding 3D model and displays it visually in the Metaverse space. The hardware used is a VR headset and a compatible display, and the software uses the VRHeadsetAPI.

[0473] 3. Suggestions based on emotion analysis and generative AI

[0474] When a user checks a 3D model of a dish, the emotion analysis engine acquires and analyzes emotional data from the user's facial expressions, voice, gestures, etc. The analysis results are sent to the server in real time. The software used is EmotionEngineAPI. Based on this data, the server uses a generative AI model to make personalized dish suggestions and offer special offers. The software used is AIModelAPI.

[0475] 4. Ordering process and negotiations with food and beverage providers

[0476] The user selects their favorite dish, and the generation AI automatically processes the order. The generation AI also negotiates with the food and beverage provider to confirm the order at an appropriate price and terms. In addition, the server notifies the user's device of the order progress in real time. The software used is the requests library.

[0477] 5. Infrastructure procedures and automation integration

[0478] After the order process is completed, the server automatically generates and sends a request to the infrastructure provider. The server fully automates communication and procedures, and periodically checks the progress. Once the process is complete, a notification is sent to the user's device. The software used is the requests library and infrastructure API.

[0479] Specific examples

[0480] For example, when a user logs into the "Smart Food Delivery" app and selects a specific food item, the server will deliver a 3D model of that food to the user's VR headset. At the same time, the user's emotions are analyzed, and the generative AI model will suggest new dishes or specific special offers. When the user orders the suggested dish, the generative AI will automatically complete the procedure, and related infrastructure procedures will also be handled automatically.

[0481] Example prompt sentence:

[0482] "Users can log in and see 3D models of food in the Metaverse."

[0483] "When a user selects a dish, analyze the user's emotions and use generative AI to suggest new dishes."

[0484] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0485] Step 1:

[0486] The server receives account information from the user and authenticates the login information. It receives the user's account information (username, password) as input, compares it with the database to generate an authentication result, and sends it to the terminal. Specifically, the server uses the requests library to communicate with the authentication API.

[0487] Step 2:

[0488] The terminal receives the authentication result and allows the user to log in. Based on the authentication result received from the server as input, the terminal displays the success or failure of the login in the user interface, in particular, displaying a success message or an error message.

[0489] Step 3:

[0490] The user selects the food or dish they want to order from the categories in the app. As input, the device receives the selection from the list of dishes provided in the user interface. The device sends the ID of the selected item to the server. Specifically, the device converts the selection into JSON format and sends a POST request to the server.

[0491] Step 4:

[0492] The server generates a corresponding 3D model based on the selected item information and sends it to the device. It receives the ID of the food or dish selected by the user as input and retrieves the 3D model data corresponding to that ID from the database. It then sends the 3D model data in JSON format to the device. Specifically, the server uses the VRHeadsetAPI to generate the 3D model data.

[0493] Step 5:

[0494] The device visually displays the received 3D model data in the Metaverse space. It receives 3D model data from the server as input and sends it to a VR headset or compatible display. Specifically, the device renders the 3D model via the VRHeadsetAPI.

[0495] Step 6:

[0496] When a user checks a 3D model of a dish, the server's emotion analysis engine acquires and analyzes emotional data from the user's facial expressions, voice, gestures, etc. The server receives the user's emotional data as input and performs data analysis using the emotion analysis engine. The analysis results are then sent to the server. Specifically, the server analyzes the data using the EmotionEngineAPI.

[0497] Step 7:

[0498] The generative AI model generates personalized food suggestions and special offers based on the analysis results. It receives the sentiment analysis results as input and uses the generative AI model to generate new suggestions. It notifies the user of the suggested dishes and special offers as output. Specifically, the server uses the AIModelAPI to generate suggestions and send them to the device.

[0499] Step 8:

[0500] The user selects a suggested dish, and the generation AI automatically processes the order on their behalf. As input, it receives the user's selection information and emotional data, and starts the negotiation process with the food service provider. As output, it generates an order confirmation notification and notifies the user. Specifically, the server automatically negotiates with the food service provider.

[0501] Step 9:

[0502] The server generates and sends a request to the infrastructure provider to fully automate communications and procedures. It receives order completion information and infrastructure request information as input and sends them to the infrastructure provider. It periodically checks the progress of infrastructure provision and notifies the user once the procedure is complete. Specifically, the server uses the infrastructure API to manage the automation process.

[0503] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0504] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0505] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0506] [Second embodiment]

[0507] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0508] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0509] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0510] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0511] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0512] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0513] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0514] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0515] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0516] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0517] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0518] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0519] The present invention is a system that simplifies procedures related to moving, allowing property viewing in the metaverse space, using generative AI to negotiate and handle contract procedures with real estate agents and public institutions, and automating infrastructure procedures through collaboration with infrastructure providers. Specific embodiments are described below.

[0520] Preview in the Metaverse space

[0521] 1. The user launches the Easy Move application and logs in.

[0522] 2. The server authenticates the user's login information and sends the authentication results to the terminal.

[0523] 3. Upon successful authentication, the device displays the option to begin browsing the metaverse.

[0524] 4. The user selects the property they would like to view.

[0525] 5. The server streams the 3D model and details of the selected property to the device.

[0526] 6. Users can use a virtual reality headset or compatible display to tour the property.

[0527] As a specific example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset.

[0528] Negotiations and contract procedures handled by generative AI

[0529] 1. After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like.

[0530] 2. The device sends the user's selection to the server.

[0531] 3. The server launches the generative AI model and begins negotiating with real estate agents and public institutions on behalf of the user.

[0532] 4. The generating AI periodically notifies the device via the server of the negotiation content and progress.

[0533] 5. The server summarizes the negotiation results, obtains the user's consent, generates a final contract, and digitally signs it.

[0534] As a specific example, a user likes "Apartment A" and leaves the price negotiation to the AI. The AI ​​negotiates the price with the real estate agent and notifies the user of the details after the negotiation is complete. If the user agrees, the AI ​​generates a final contract and digitally signs it.

[0535] Collaboration with infrastructure providers

[0536] 1. After the user completes the contract, the device displays the options to select infrastructure providers (electricity, gas, water, etc.).

[0537] 2. The user selects a company that provides the infrastructure products they need.

[0538] 3. The device sends the selection to the server.

[0539] 4. The server automatically initiates service start procedures with the selected infrastructure provider.

[0540] 5. Once the server receives confirmation from the infrastructure provider, it will notify the device.

[0541] For example, if a user selects "ABC Electric Power" and "XYZ Water" as their electricity and water contract partners, the server will send the user's information to both companies and automatically complete the procedures up to the start of service. Once completed, the user will be notified.

[0542] In this way, users can complete all processes in one go, from viewing the property in the metaverse space to contract procedures and automated infrastructure procedures, significantly reducing the time and effort required for moving.

[0543] The processing flow will be explained below.

[0544] Preview in the Metaverse space

[0545] Step 1:

[0546] The user launches the "Easy Move" application and enters login information.

[0547] Step 2:

[0548] The terminal collects the entered authentication information and sends it to the server.

[0549] Step 3:

[0550] The server verifies the received authentication information and sends the authentication result to the terminal.

[0551] Step 4:

[0552] The device will display the authentication results and, if successful, will display the option to begin browsing the metaverse.

[0553] Step 5:

[0554] The user selects the property they wish to view.

[0555] Step 6:

[0556] The terminal sends the ID of the selected property to the server.

[0557] Step 7:

[0558] The server searches for the property's 3D model and detailed information and generates streaming data.

[0559] Step 8:

[0560] The server transmits the streaming data to the terminal.

[0561] Step 9:

[0562] The device receives the streamed data and displays a 3D model of the property in the virtual space.

[0563] Step 10:

[0564] Users can view properties using a VR headset or compatible display.

[0565] Negotiations and contract procedures handled by generative AI

[0566] Step 1:

[0567] After viewing, users select the option to begin negotiations and contract procedures for properties they like.

[0568] Step 2:

[0569] The terminal transmits the user's selection to the server.

[0570] Step 3:

[0571] The server launches the generative AI model and collects the necessary information (property details, user information, etc.).

[0572] Step 4:

[0573] The generative AI will begin negotiations with the real estate agent and propose the price, contract terms, etc.

[0574] Step 5:

[0575] The generated AI periodically updates the negotiation content and progress to the server.

[0576] Step 6:

[0577] The server notifies the user's terminal of the updated information.

[0578] Step 7:

[0579] The user confirms the negotiation details and sends additional instructions (e.g., price renegotiation) to the server via the terminal.

[0580] Step 8:

[0581] The generation AI will summarize the final negotiation results and generate a final contract to obtain the user's consent.

[0582] Step 9:

[0583] The server sends the final contract to the terminal, and the user digitally signs it.

[0584] Collaboration with infrastructure providers

[0585] Step 1:

[0586] After the user completes the contract procedure, they can check the options for the necessary infrastructure products (electricity, gas, water, etc.).

[0587] Step 2:

[0588] The user selects the infrastructure product provider they need.

[0589] Step 3:

[0590] The device sends the selection to the server.

[0591] Step 4:

[0592] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider.

[0593] Step 5:

[0594] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[0595] Step 6:

[0596] Once the server receives confirmation that the procedure has been completed, it will notify the user's device.

[0597] Step 7:

[0598] The terminal displays a notification to the user that the procedure is complete.

[0599] Example 1

[0600] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0601] Moving procedures today require a wide range of preparations and procedures, placing a significant burden on users' time and effort. Furthermore, property viewings, price negotiations, and infrastructure contract procedures are often carried out as separate processes, resulting in overall inefficiency. For this reason, there is a demand for a system that can perform the entire moving process seamlessly and efficiently.

[0602] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0603] In this invention, the server includes a means for viewing properties in the metaverse space, a means for using generative AI to negotiate and process contracts with real estate agents and public institutions, a means for coordinating with multiple infrastructure providers and automating infrastructure procedures, a means for activating a generative AI model and negotiating real estate prices on behalf of the user, a means for streaming a 3D model and detailed information of the real estate property in real time, and a means for the user to view the property using a virtual reality headset. This allows the user to complete all processes, from viewing the property to contract procedures and automated infrastructure procedures, all in one place in the metaverse space.

[0604] The "metaverse space" is a virtual three-dimensional space constructed using virtual reality technology, where users can view properties through virtual reality headsets or compatible devices.

[0605] "Generative AI" is artificial intelligence that uses natural language processing and machine learning techniques based on large datasets to negotiate with real estate agents and public institutions on behalf of users.

[0606] A "real estate agent" refers to a company or individual who acts as an intermediary in the sale, purchase, or rental of real estate.

[0607] A "public institution" is an organization that provides public services or procedures, such as a local government or government agency.

[0608] An "infrastructure provider" is a company that provides basic infrastructure services necessary for daily life, such as electricity, gas, and water.

[0609] A "viewing" is the act of looking around inside a property before purchasing or renting it.

[0610] A "3D model" is digital data with a three-dimensional shape or structure that is displayed using computer graphics.

[0611] "Streaming transmission" is a technology for transmitting content such as audio, video, and data over a network in real time.

[0612] A "virtual reality headset" is a device worn by a user to visually experience a virtual space.

[0613] A "prompt sentence" is a sentence used to input specific instructions to a generative AI model, allowing the AI ​​to respond appropriately or output based on those instructions.

[0614] "Real-time" refers to processing or communication occurring immediately, without delay.

[0615] This invention is a system that allows users to efficiently carry out procedures related to moving, primarily by allowing them to view properties in the metaverse space, using generative AI to negotiate and process contracts with real estate agents and public institutions, and automating infrastructure procedures through collaboration with infrastructure providers. Below we will explain how to specifically implement this system.

[0616] Preview in the Metaverse space

[0617] The user launches the Easy Move app on their smartphone or PC and logs in. The server compares the received user ID and password with the information in the database and sends the authentication result to the device. If the device confirms successful authentication, it displays an option to start a metaverse tour. When the user selects a desired property from the displayed list of candidate properties, the server retrieves a 3D model and detailed information of the selected property from the database and streams them to the device in real time. The user then uses a virtual reality headset or compatible display to tour the property in a virtual space. For example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model of Apartment A and its detailed information to the device. The user then uses a VR headset to begin the virtual tour while enjoying a realistic visual experience.

[0618] Negotiations and contract procedures handled by generative AI

[0619] After the virtual viewing, the user selects the option to negotiate the price and conditions of the property. The device sends the user's request to start negotiations to the server. The server launches a generative AI model, and the generative AI negotiates directly with the real estate agent or public institution using the specified prompt as input. For example, the prompt could be, "Please negotiate a price reduction of approximately 10% for Apartment A." The generative AI considers an appropriate negotiation strategy and automatically begins negotiations, with progress periodically notified to the device via the server. The server generates a final contract based on the negotiation results provided by the generative AI and digitally signs it. The device then asks the user to confirm the final contract and signature. If the user agrees, the AI ​​digitally signs it.

[0620] Collaboration with infrastructure providers

[0621] After the contract is completed, the terminal displays options for selecting the necessary infrastructure product providers (electricity, gas, water, etc.). The user selects the desired infrastructure provider from the displayed list. The terminal then sends information about the infrastructure provider selected by the user to the server. The server automatically sends the user's information along with the necessary procedures to the selected infrastructure provider, and carries out the procedures to start the infrastructure service. When the server receives an approval notification from the infrastructure provider, it immediately notifies the terminal of the result. For example, if a user selects "ABC Electric Power" and "XYZ Water" as their electricity and water contract partners, the server sends the user's information to both companies and automatically carries out the procedures up to the start of service. Once the procedures are complete, the user is notified.

[0622] This allows users to carry out all the processes required for moving in one place, from viewing properties in the metaverse space to negotiating and contract procedures using generative AI, and even automating infrastructure procedures.

[0623] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0624] System program processing flow

[0625] Preview in the Metaverse space

[0626] Step 1:

[0627] The user launches the Easy Move app on their smartphone or PC and displays the login screen. Specifically, they enter their user ID and password and send the login information from the device.

[0628] Step 2:

[0629] The server compares the received user ID and password with the information in the database and determines whether the authentication was successful. Here, the input is the user's authentication information and the output is the authentication result. If the authentication is successful, the server generates an authentication token and sends it to the terminal.

[0630] Step 3:

[0631] The terminal confirms the successful authentication notification received from the server and displays the option to start browsing the metaverse on the screen. The input is the successful authentication notification from the server, and the output is a user interface that displays the option to start browsing the metaverse.

[0632] Step 4:

[0633] The user selects the desired property from the displayed list of potential properties. The user's selection is the input, and information about the selected property is the output.

[0634] Step 5:

[0635] The server retrieves the 3D model and details of the selected property from the database and streams them to the device in real time. Here, the input is the property ID selected by the user, and the output is a data stream of the 3D model and details of the property.

[0636] Step 6:

[0637] A user uses a virtual reality headset or compatible display to virtually tour a property. Specifically, the user walks around the room, checking the furniture arrangement and room size. The input is a streamed 3D model and detailed information, and the output is the user's visual experience.

[0638] Negotiations and contract procedures handled by generative AI

[0639] Step 1:

[0640] After the virtual viewing, the user selects an option to negotiate the price and terms of the property. The user's selection is the input, and a request to start negotiations is the output.

[0641] Step 2:

[0642] The terminal sends the user's negotiation initiation request to the server, where the input is the user's request and the output is the negotiation request sent to the server.

[0643] Step 3:

[0644] The server launches the generative AI model and sends a prompt as input to the model. The input is a user-provided prompt, and the output is a negotiation strategy generated by the AI. Specifically, the prompt used is "Please negotiate a price reduction of approximately 10% for Apartment A."

[0645] Step 4:

[0646] The generation AI negotiates directly with real estate agents and public institutions, and notifies the terminal of the progress via the server. The input is the negotiation data acquired by the AI, and the output is a progress notification. The generation AI periodically checks the progress and sends the results to the server.

[0647] Step 5:

[0648] The server generates a final contract based on the negotiation results provided by the AI ​​and digitally signs it. Specifically, the contract is created based on the data provided by the AI ​​and signed using digital signature software. The input is the negotiation results, and the output is a signed contract.

[0649] Step 6:

[0650] The terminal asks the user to confirm the final contract and signature. The input is the signed contract, and the output is a confirmation screen displayed in the user interface. If the user agrees, the AI ​​digitally signs it.

[0651] Collaboration with infrastructure providers

[0652] Step 1:

[0653] After the contract is completed, the terminal displays the options to select the necessary infrastructure providers (electricity, gas, water, etc.). The input is a contract completion notification, and the output is a list of infrastructure providers.

[0654] Step 2:

[0655] The user selects the desired infrastructure provider from the displayed list. The input is a list of infrastructure providers, and the output is the user's selection.

[0656] Step 3:

[0657] The terminal transmits information about the infrastructure provider selected by the user to the server, where the input is the user's selection information and the output is the information transmitted to the server.

[0658] Step 4:

[0659] The server automatically sends the necessary procedures along with the user information to the selected infrastructure provider, and carries out the procedures to start the infrastructure service. The input is the user information and the selected infrastructure provider information, and the output is the automated procedure data.

[0660] Step 5:

[0661] When the server receives a confirmation notification from the infrastructure provider, it immediately notifies the terminal of the result. Specifically, the server receives confirmation from each infrastructure company and sends it to the terminal in real time. The input is the confirmation notification from the infrastructure company, and the output is the notification to the terminal.

[0662] The above is a specific explanation of each processing step of the system program.

[0663] (Application example 1)

[0664] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0665] Conventional moving-related procedures require a lot of time and effort, and are complicated because they require separate procedures such as viewing properties, negotiating and signing contracts with real estate agents, and completing procedures with public institutions and infrastructure providers. These processes are also cumbersome for users, reducing overall efficiency. The present invention aims to significantly reduce the time and effort required for moving by integrating and automating these procedures.

[0666] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0667] In this invention, the server includes means for viewing properties in the metaverse space, means for using generative AI to negotiate and process contracts with real estate agents and public institutions, means for coordinating with multiple infrastructure providers and automating infrastructure procedures, means for including a virtual real estate agent application running on a smart device, means for rendering 3D models, means for notifying users of the progress of the negotiation process using a generative AI model, means for generating contracts using digital signatures, and means for automatically setting up infrastructure services. This allows users to complete everything from viewing properties to completing contract procedures and infrastructure procedures all in one place in the metaverse space, thereby streamlining and shortening the time required for moving-related processes.

[0668] The "metaverse space" is a virtual three-dimensional space constructed on the Internet, where users can carry out various activities through avatars.

[0669] "Property viewing" refers to the act of viewing the interior of a real estate property selected by the user, allowing the user to visually experience a realistically recreated property using virtual reality technology.

[0670] "Generative AI" is a type of artificial intelligence model that has the ability to learn patterns from large amounts of data and generate new information.

[0671] "Means of acting on behalf of the user in negotiations and contract procedures" refers to a function in which the generative AI negotiates and processes contracts with real estate agents and public institutions on behalf of the user.

[0672] "Infrastructure providers" refer to companies that provide basic services such as electricity, gas, water, and communications.

[0673] "Means for automating infrastructure procedures" refers to a system function that automatically carries out the necessary contract procedures with the infrastructure provider selected by the user.

[0674] The "Virtual Real Estate Agent Application" is an application that runs on smart devices and allows users to search for, view, negotiate, and sign contracts for real estate properties in a virtual space.

[0675] "Smart devices" refers to portable electronic devices with internet connectivity, such as smartphones, tablets, smart glasses, and head-mounted displays.

[0676] A "3D model" refers to a model of a property that is reproduced in a three-dimensional virtual space, allowing users to visually check the details of the property.

[0677] "Rendering" refers to the process by which a computer generates and displays an image from three-dimensional data.

[0678] "Means of notifying the progress of the negotiation process using a generative AI model" refers to a function in which the generative AI analyzes the progress of the negotiation and notifies the user of the results in real time.

[0679] A "digital signature" is a method for electronically guaranteeing the authenticity of a document and is used in legal documents such as contracts.

[0680] "Automatic setup of infrastructure services" is a process of automatically performing the necessary settings for the infrastructure provision services selected by the user.

[0681] This invention is a system that uses a "virtual real estate agent application" that runs on a smart device to perform property viewings in the metaverse space, negotiate and complete contract procedures with real estate agents using generative AI, and automatically connect with infrastructure providers.

[0682] The following hardware and software are used to implement the present invention.

[0683] Hardware: iPhone, Android smartphone, Oculus Quest 2

[0684] Software: Unity (3D application development), OpenAI GPT-4 (generative AI), AWS RDS (database)

[0685] System program processing

[0686] Property viewing in the Metaverse

[0687] The server sends a 3D model and detailed information of the property selected by the user to the device, where the user can visually check it using a VR headset. Detailed information about each room and facility within the property is also provided at the same time, giving the user the experience of actually visiting the property.

[0688] Generative AI for Negotiation and Contract Procedures

[0689] When a user selects an option to begin negotiations and contract procedures for a property they like, the device sends that information to the server. The server then activates a generative AI model and negotiates with real estate agents and public institutions on the user's behalf. The device is periodically notified of the negotiation content and progress via the server. Once the negotiation is complete and the user agrees, the generative AI generates a final contract and digitally signs it.

[0690] Collaboration with infrastructure providers

[0691] After completing the contract, the user selects the necessary infrastructure provider from the options displayed on the terminal. When that information is sent to the server, the server automatically initiates the service start procedure with the selected company. Once confirmation is received from the infrastructure provider, the server notifies the terminal. This eliminates the need for the user to perform any additional steps for infrastructure procedures.

[0692] Specific examples

[0693] As a concrete example, after logging in, a user can select Apartment A in a major city and view a 3D model and detailed information about the property using a VR headset. The AI ​​then negotiates the price and, with the user's consent, generates and signs a final contract. The AI ​​then automatically processes the contract with the infrastructure provider selected by the user, completing the entire process in one go.

[0694] Prompt Sentence Examples

[0695] "Please negotiate the price with the real estate agent regarding Apartment A in a major city that User ID 12345 is viewing and notify me of the results."

[0696] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0697] Step 1:

[0698] A user logs into the "Virtual Real Estate Agent" application.

[0699] Input: User login information (email address and password)

[0700] Process: The device uses Firebase Authentication to send login information to the server for authentication.

[0701] Output: Sends a successful authentication notification to the device.

[0702] Step 2:

[0703] Upon successful authentication, the device will display an option to begin browsing the metaverse.

[0704] Input: Authentication success notification

[0705] Action: Display the option to start the tour on the terminal screen.

[0706] Output: User's selection to start preview

[0707] Step 3:

[0708] The user selects the property they wish to view.

[0709] Input: Property selection information

[0710] Processing: The terminal sends the ID of the selected property to the server.

[0711] Output: The server provides a 3D model of the property and detailed information.

[0712] Step 4:

[0713] The server streams a 3D model and detailed information of the selected property to the device.

[0714] Input: Property ID

[0715] Processing: The server retrieves the property's 3D model and detailed information from the database (AWS RDS) and streams it to the device.

[0716] Output: The 3D model and detailed information will be displayed on your device.

[0717] Step 5:

[0718] Users can use a VR headset to view the property.

[0719] Input: 3D model and detailed information

[0720] Processing: The device uses Unity to render the 3D model and display it on the VR headset.

[0721] Output: A virtual property tour experience for the user

[0722] Step 6:

[0723] The user selects the option to begin negotiations and contract procedures after viewing.

[0724] Input: User's choice to start negotiation / contract procedure

[0725] Processing: The terminal sends the selection information to the server.

[0726] Output: Server launches generative AI model

[0727] Step 7:

[0728] Generative AI will begin negotiations with real estate agents and public institutions.

[0729] Input: User negotiation information

[0730] Processing: The server uses the OpenAI GPT-4 API to launch the generation AI and automatically generate the negotiation content. The server inputs a prompt and generates the negotiation content.

[0731] Output: The progress and results of the negotiation are stored on the server and periodically sent to the terminal.

[0732] Step 8:

[0733] The server summarizes the negotiation results and notifies the user.

[0734] Input: Negotiation result by GPT-4

[0735] Processing: The server analyzes the negotiation result, notifies the user of the result, and accepts the user's feedback.

[0736] Output: User consent or correction request

[0737] Step 9:

[0738] If the user consents, the generation AI will generate the final contract and digitally sign it.

[0739] Input: User consent

[0740] Processing: The server uses the DocuSign API to generate a final, digitally signed contract.

[0741] Output: A completed, digitally signed contract

[0742] Step 10:

[0743] After the user completes the contract, the system displays options for selecting infrastructure product providers.

[0744] Input: Notice of Contract Completion

[0745] Action: Display infrastructure selection options on the terminal screen.

[0746] Output: User's infrastructure product selection

[0747] Step 11:

[0748] The user selects a company that provides the infrastructure products they need.

[0749] Input: Infrastructure provider selection information

[0750] Processing: The device sends the selection to the server.

[0751] Output: Server starts infrastructure procedures

[0752] Step 12:

[0753] The server automatically completes the service start-up procedures with the infrastructure provider.

[0754] Input: Infrastructure provider selection information

[0755] Processing: The server performs the procedure via the infrastructure provider's API and obtains confirmation that the service has started.

[0756] Output: Send a notification to the terminal that the infrastructure procedure is complete.

[0757] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0758] The present invention is a system that simplifies the user's moving procedure and provides a more personalized experience by combining an emotion engine. Specific embodiments that combine an emotion engine will be described below.

[0759] Preview in the Metaverse space

[0760] 1. The user launches the Easy Move application and enters their login information.

[0761] 2. The server authenticates the user's login information and sends the authentication results to the terminal.

[0762] 3. Upon successful authentication, the device displays the option to begin browsing the metaverse.

[0763] 4. The user selects the property they would like to view.

[0764] 5. The device sends the ID of the selected property to the server.

[0765] 6. The server retrieves the property's 3D model and detailed information and generates streaming data.

[0766] 7. The server sends the streaming data to the device.

[0767] 8. The device receives the streamed data and displays a 3D model of the property in the virtual space.

[0768] 9. Users can tour the property using a VR headset or compatible display.

[0769] 10. The device uses an emotion engine to analyze the user's emotions during the viewing and transmits the results to the server in real time.

[0770] 11. The server accumulates emotional data and understands the user's reactions.

[0771] As a concrete example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset. At the same time, the emotion engine analyzes the user's emotions (for example, surprise or joy) and sends them to the server in real time.

[0772] Negotiations and contract procedures handled by generative AI

[0773] 1. After viewing, the user selects the option to begin negotiations and contract procedures for the property they like.

[0774] 2. The device sends the user's selection to the server.

[0775] 3. The server launches the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).

[0776] 4. The generative AI begins negotiations with the real estate agent and proposes the price, contract terms, etc.

[0777] 5. The generated AI periodically updates the negotiation content and progress to the server.

[0778] 6. The server notifies the user's device of the updated information.

[0779] 7. The user confirms the negotiation details and sends additional instructions (e.g., renegotiating the price) to the server via the terminal.

[0780] 8. The generation AI summarizes the final negotiation results and generates a final contract for the user's consent.

[0781] 9. The server sends the final contract to the terminal, and the user digitally signs it, etc.

[0782] As a concrete example, a user likes "Apartment A" and leaves the price negotiation to the AI. The AI ​​negotiates the price with the real estate agent, updating the negotiation status in real time, along with feedback on the user's emotional reaction. After the negotiation, the content is notified to the user, and if the user agrees, the generation AI generates a final contract and digitally signs it.

[0783] Collaboration with infrastructure providers

[0784] 1. After the user completes the contract procedure, they check the selection options for the necessary infrastructure products (electricity, gas, water, etc.).

[0785] 2. The user selects the infrastructure product provider they need.

[0786] 3. The device sends the selection to the server.

[0787] 4. The server automatically generates and sends a procedure request for starting the service to the selected infrastructure provider.

[0788] 5. The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[0789] 6. Once the server receives confirmation that the procedure has been completed, it notifies the user's device.

[0790] 7. The terminal displays a notification to the user that the procedure is complete.

[0791] As a specific example, if a user selects "electric power company A" and "water company B" as their electricity and water contract partners, the server will send the user's information to both companies, automatically carry out the procedures up to the start of service, and notify the user once completion has been completed.

[0792] Through these processes, users can efficiently complete the complex procedures related to moving all at once, and the emotion engine reflects the user's emotions in real time, allowing for more personalized service.

[0793] The processing flow will be explained below.

[0794] Preview in the Metaverse space

[0795] Step 1:

[0796] The user launches the "Easy Move" application and enters login information.

[0797] Step 2:

[0798] The terminal collects the entered authentication information and sends it to the server.

[0799] Step 3:

[0800] The server verifies the received authentication information and sends the authentication result to the terminal.

[0801] Step 4:

[0802] The device will display the authentication results and, if successful, will display the option to begin browsing the metaverse.

[0803] Step 5:

[0804] The user selects the property they wish to view.

[0805] Step 6:

[0806] The terminal sends the ID of the selected property to the server.

[0807] Step 7:

[0808] The server searches for the property's 3D model and detailed information and generates streaming data.

[0809] Step 8:

[0810] The server transmits the streaming data to the terminal.

[0811] Step 9:

[0812] The device receives the streamed data and displays a 3D model of the property in the virtual space.

[0813] Step 10:

[0814] Users can view properties using a VR headset or compatible display.

[0815] Step 11:

[0816] The device uses an emotion engine to analyze the user's facial expressions and voice during the viewing and transmits the data to the server in real time.

[0817] Step 12:

[0818] The server accumulates emotional data and grasps the user's reactions in real time.

[0819] Negotiations and contract procedures handled by generative AI

[0820] Step 1:

[0821] After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like.

[0822] Step 2:

[0823] The terminal transmits the user's selection to the server.

[0824] Step 3:

[0825] The server launches the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).

[0826] Step 4:

[0827] The generative AI will begin negotiations with the real estate agent and propose the price, contract terms, etc.

[0828] Step 5:

[0829] The generated AI periodically updates the negotiation content and progress to the server.

[0830] Step 6:

[0831] The server notifies the user's terminal of the updated information.

[0832] Step 7:

[0833] The user confirms the negotiation details and sends additional instructions (e.g., price renegotiation) to the server via the terminal.

[0834] Step 8:

[0835] The generation AI will summarize the final negotiation results and generate a final contract to obtain the user's consent.

[0836] Step 9:

[0837] The server sends the final contract to the terminal, and the user digitally signs it.

[0838] Collaboration with infrastructure providers

[0839] Step 1:

[0840] After the user completes the contract procedure, they can check the options for the necessary infrastructure products (electricity, gas, water, etc.).

[0841] Step 2:

[0842] The user selects the infrastructure product provider they need.

[0843] Step 3:

[0844] The device sends the selection to the server.

[0845] Step 4:

[0846] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider.

[0847] Step 5:

[0848] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[0849] Step 6:

[0850] Once the server receives confirmation that the procedure has been completed, it will notify the user's device.

[0851] Step 7:

[0852] The terminal displays a notification to the user that the procedure is complete.

[0853] Example 2

[0854] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0855] Conventional moving procedures require complicated procedures and numerous steps, placing a heavy burden on users. Furthermore, personalized services that take into account the user's feelings are not provided, and the user experience is generally limited.

[0856] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for authenticating a user by having the user launch an application and enter login information; means for the authenticated user to select a property they wish to view and send the ID of the selected property to the server; means for the server to search for a 3D model and detailed information of the property and generate and send streaming data; means for the terminal to receive the streaming data and display the 3D model of the property in a virtual space; means for the terminal to analyze the user's emotions during the viewing using an emotion analysis engine and send the analysis data to the server in real time; means for the server to accumulate emotion data and understand the user's reactions; means for starting negotiations with a real estate agent using a generative AI and updating the server with the negotiation content and progress; means for the generative AI to generate a final contract and for the user to digitally sign it; and means for coordinating with multiple infrastructure providers and automating infrastructure procedures. This allows users to efficiently complete complicated moving procedures and enjoy personalized services based on their emotions.

[0857] "User" refers to an individual or corporation that uses this system to carry out moving procedures.

[0858] "Application" refers to a software program that a user uses to operate through a terminal.

[0859] "Login information" refers to authentication information such as user ID and password that a user enters when accessing a system.

[0860] "Server" refers to a central processing unit that processes data and provides information in response to user requests.

[0861] "Property" refers to the building or home that the user selects as their destination.

[0862] "ID of selected property" refers to an identifier that uniquely identifies the property that the user wishes to view.

[0863] A "3D model" refers to data that reproduces the three-dimensional structure of a property in virtual space.

[0864] "Detailed information" refers to information about the property, such as location, layout, and facilities.

[0865] "Streaming data" refers to data transmitted from a server to a terminal in real time.

[0866] "Terminal" refers to a device operated by a user (e.g., a smartphone, tablet, PC, etc.).

[0867] "Virtual space" refers to a three-dimensional virtual reality environment generated by a computer.

[0868] An "emotion analysis engine" refers to an algorithm or software for analyzing user emotions.

[0869] "Generative AI" refers to an artificial intelligence system that automatically negotiates with real estate agents and generates contracts.

[0870] "Infrastructure provider" refers to a company that provides infrastructure services such as electricity, gas, and water.

[0871] A "digital signature" refers to a means of signing a contract or document electronically.

[0872] The present invention is a system that simplifies the user's moving process and, by combining it with a sentiment analysis engine, provides a more personalized experience.

[0873] First, a user launches the application on their device and enters their login information. This login information is sent to the server, which authenticates it. If authentication is successful, the device displays an option to start viewing properties in the metaverse space. The user selects this option and chooses the property they want.

[0874] The device then sends the ID of the selected property to the server, which then searches for the property's 3D model and detailed information and generates streaming data. This streaming data is then sent from the server to the device, which receives it and displays the property's 3D model in a virtual space. The user can then view the property in detail in the virtual space using a VR headset or compatible display.

[0875] Furthermore, the user's emotions during the viewing are analyzed in real time using an emotion analysis engine installed on the device. This emotion data is sent from the device to a server, which then stores it and can grasp the user's reaction.

[0876] After viewing the property, if the user wishes to begin negotiations or contract procedures for a property they like, they select an option displayed on their device. The device sends this selection to the server, which then activates the generative AI model to collect the necessary information. The generative AI begins negotiations with the real estate agent and updates the server with the progress. The user can review this information on their device and provide additional instructions as needed. The generative AI then summarizes the final negotiation results and generates a final contract, which the user can then digitally sign.

[0877] Once the contract procedures are complete, the user can select a provider of infrastructure products (electricity, gas, water, etc.). This selection is sent from the device to the server, which then automatically initiates the service start procedure with each provider. Once the procedure is complete, the server notifies the user's device, and the device displays a completion message to the user.

[0878] As a specific example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset. At the same time, the emotion analysis engine analyzes the user's emotions (for example, surprise or joy) and sends the information to the server in real time. If the user likes the property and leaves the price negotiations to the generation AI, the generation AI will negotiate the price with the real estate agent, and the user will be notified of the negotiation status via the server. The final contract is then generated and digitally signed. Finally, the user selects an infrastructure provider, and the process to start the service is automatically completed.

[0879] An example of a prompt using a generative AI model might be:

[0880] "Create a program that allows a user to negotiate the price of a property they have selected with a real estate agent, and notifies the user of the progress in real time."

[0881] In this way, the user can efficiently go through the complicated procedures related to moving and can enjoy personalized services based on their emotions.

[0882] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0883] Step 1:

[0884] A user starts an application and enters login information. A user opens an application and enters their user ID and password. This input data is sent from the device to the server.

[0885] Step 2:

[0886] The server authenticates the user's login information and sends the authentication result to the terminal. The server compares the received user ID and password with the database and generates an authentication result (success or failure). The authentication result is sent to the terminal.

[0887] Step 3:

[0888] When authentication is successful, the device displays an option to start browsing the metaverse. The device receives a notification of successful authentication and displays a button to start browsing on the screen. The user selects the option to start browsing.

[0889] Step 4:

[0890] The user selects the property they wish to view. The user selects the property they wish to view from the property list displayed on the screen. This selection information (property ID) is sent from the terminal to the server.

[0891] Step 5:

[0892] The terminal sends the ID of the selected property to the server. The terminal sends the property ID to the server, and the server receives the ID.

[0893] Step 6:

[0894] The server searches for the property's 3D model and detailed information and generates streaming data.The server searches the database based on the received property ID and obtains the property's 3D model and detailed information.The server generates streaming data based on this data.

[0895] Step 7:

[0896] The server transmits the streaming data to the terminal. The server transmits the generated streaming data to the terminal. The terminal receives it.

[0897] Step 8:

[0898] The device receives the streamed data and displays a 3D model of the property in the virtual space. The device processes the received streamed data and displays a 3D model of the property in the virtual space. The user begins viewing the property using a VR headset.

[0899] Step 9:

[0900] The device analyzes the user's emotions during the viewing using an emotion analysis engine and sends the data to the server in real time. The device uses cameras and sensors to capture the user's facial expressions and behavior, which are then analyzed using the emotion analysis engine. This analyzed data is then sent to the server.

[0901] Step 10:

[0902] The server accumulates the emotional data and understands the user's reaction. The server accumulates the received emotional data in a database and analyzes and understands the user's reaction.

[0903] Step 11:

[0904] After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like. The user selects the option to begin negotiations displayed on the screen. This selection is sent from the terminal to the server.

[0905] Step 12:

[0906] The server runs the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).The server runs the generative AI model and collects property details, user information, and emotional data.

[0907] Step 13:

[0908] The generation AI starts negotiations with the real estate agent and proposes the price and contract terms. The generation AI starts negotiations with the real estate agent on the price and contract terms. The progress of this negotiation is updated to the server.

[0909] Step 14:

[0910] The generation AI periodically updates the negotiation content and progress to the server. The generation AI sends the negotiation progress and new proposals to the server.

[0911] Step 15:

[0912] The server notifies the user's device of the updated information. The server notifies the user's device of the progress status from the generated AI. The user confirms this.

[0913] Step 16:

[0914] The user confirms the negotiation details and sends additional instructions (e.g., renegotiating the price) to the server via the terminal. The user confirms the negotiation details and gives additional instructions as necessary. This instruction information is sent from the terminal to the server.

[0915] Step 17:

[0916] The generation AI summarizes the final negotiation results and generates a final contract to obtain the user's consent.The generation AI generates a final contract based on the final negotiation results and carries out the procedure to obtain the user's consent.

[0917] Step 18:

[0918] The server sends the final contract to the terminal, and the user digitally signs it, etc. The server sends the final contract to the user's terminal, and the user digitally signs it.

[0919] Step 19:

[0920] After the user completes the contract procedure, they can check the selection options for the necessary infrastructure products (electricity, gas, water, etc.). The user can view the selection options for infrastructure products on the screen after the contract is completed.

[0921] Step 20:

[0922] The user selects the infrastructure provider they need. The user selects the infrastructure provider on the screen, and this selection information is sent from the terminal to the server.

[0923] Step 21:

[0924] The terminal sends the selection to the server. The terminal sends the user's selection to the server, which receives it.

[0925] Step 22:

[0926] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider. The server automatically generates and transmits a service start request to the corresponding infrastructure provider.

[0927] Step 23:

[0928] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure. The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[0929] Step 24:

[0930] Once the server receives confirmation that the procedure has been completed, it notifies the user's device. The server receives a notification of completion of the procedure from the infrastructure provider and notifies the user's device.

[0931] Step 25:

[0932] The terminal displays a notification to the user that the procedure has been completed. The terminal receives the notification and displays a completion message on the screen.

[0933] (Application example 2)

[0934] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0935] Today, when users use food delivery services, the process of selecting food and ordering is complicated, resulting in an inconsistent user experience. Furthermore, personalized suggestions based on user preferences and emotions are not provided, leading to low satisfaction. Furthermore, the infrastructure procedures after ordering are performed manually, which is time-consuming and labor-intensive.

[0936] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0937] In this invention, the server includes a means for displaying a 3D model of the food or dish selected by the user in the metaverse space, a means for acquiring the user's emotional data using an emotion analysis engine and having a generative AI model suggest dishes and provide special offers, a means for using the generative AI to negotiate with food service providers and handle ordering procedures on behalf of the user, and a means for coordinating with multiple infrastructure providers and automating infrastructure procedures. This allows the user to check the dishes in detail in the virtual space, receive personalized suggestions and special offers based on their emotions, and automate ordering and infrastructure procedures, improving overall convenience and satisfaction.

[0938] "User" means an individual or organization that orders food or meals using the food delivery service.

[0939] "Food or dishes" includes dishes and ingredients ordered and delivered through food delivery services.

[0940] "3D Model" means a three-dimensional digital representation of a food or dish that is visually displayed in the Metaverse space.

[0941] The "metaverse space" is a digital world in which users participate using virtual reality (VR) technology.

[0942] An "emotion analysis engine" is a technology that recognizes and analyzes emotions from a user's facial expressions, voice, gestures, etc.

[0943] A "generative AI model" refers to an artificial intelligence algorithm that generates new dish suggestions and special offers based on user emotional data, etc.

[0944] "Food and beverage providers" are companies and stores that provide food and meals through food delivery services.

[0945] "Negotiation and ordering process" refers to the process of negotiating prices and terms with a food and beverage provider on behalf of the user and finalizing the order.

[0946] "Infrastructure providers" are companies that provide necessary supplies and services related to food delivery services, such as logistics, containers, and cutlery.

[0947] "Means for automating infrastructure procedures" refers to technologies and processes for automating communication and procedures with infrastructure providers.

[0948] This invention is a system that displays 3D models in the metaverse space, analyzes emotions, and provides suggestions and special offers using generative AI models when a user uses a food delivery service, as well as automatically connecting with infrastructure providers. Specific embodiments are described below.

[0949] 1. User registration and first login

[0950] The server receives account information from the user and authenticates the login information. The software used is the authentication API and requests library. After authentication, the server sends the authentication results to the terminal, and the user logs in to the "Smart Food Delivery" application.

[0951] 2. Food selection and 3D model display

[0952] Users select the food or dish they want to order from categories within the app. The device sends the selected item information to the server, which then generates a corresponding 3D model and displays it visually in the Metaverse space. The hardware used is a VR headset and a compatible display, and the software uses the VRHeadsetAPI.

[0953] 3. Suggestions based on emotion analysis and generative AI

[0954] When a user checks a 3D model of a dish, the emotion analysis engine acquires and analyzes emotional data from the user's facial expressions, voice, gestures, etc. The analysis results are sent to the server in real time. The software used is EmotionEngineAPI. Based on this data, the server uses a generative AI model to make personalized dish suggestions and offer special offers. The software used is AIModelAPI.

[0955] 4. Ordering process and negotiations with food and beverage providers

[0956] The user selects their favorite dish, and the generation AI automatically processes the order. The generation AI also negotiates with the food and beverage provider to confirm the order at an appropriate price and terms. In addition, the server notifies the user's device of the order progress in real time. The software used is the requests library.

[0957] 5. Infrastructure procedures and automation integration

[0958] After the order process is completed, the server automatically generates and sends a request to the infrastructure provider. The server fully automates communication and procedures, and periodically checks the progress. Once the process is complete, a notification is sent to the user's device. The software used is the requests library and infrastructure API.

[0959] Specific examples

[0960] For example, when a user logs into the "Smart Food Delivery" app and selects a specific food item, the server will deliver a 3D model of that food to the user's VR headset. At the same time, the user's emotions are analyzed, and the generative AI model will suggest new dishes or specific special offers. When the user orders the suggested dish, the generative AI will automatically complete the procedure, and related infrastructure procedures will also be handled automatically.

[0961] Example prompt sentence:

[0962] "Users can log in and see 3D models of food in the Metaverse."

[0963] "When a user selects a dish, analyze the user's emotions and use generative AI to suggest new dishes."

[0964] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0965] Step 1:

[0966] The server receives account information from the user and authenticates the login information. It receives the user's account information (username, password) as input, compares it with the database to generate an authentication result, and sends it to the terminal. Specifically, the server uses the requests library to communicate with the authentication API.

[0967] Step 2:

[0968] The terminal receives the authentication result and allows the user to log in. Based on the authentication result received from the server as input, the terminal displays the success or failure of the login in the user interface, in particular, displaying a success message or an error message.

[0969] Step 3:

[0970] The user selects the food or dish they want to order from the categories in the app. As input, the device receives the selection from the list of dishes provided in the user interface. The device sends the ID of the selected item to the server. Specifically, the device converts the selection into JSON format and sends a POST request to the server.

[0971] Step 4:

[0972] The server generates a corresponding 3D model based on the selected item information and sends it to the device. It receives the ID of the food or dish selected by the user as input and retrieves the 3D model data corresponding to that ID from the database. It then sends the 3D model data in JSON format to the device. Specifically, the server uses the VRHeadsetAPI to generate the 3D model data.

[0973] Step 5:

[0974] The device visually displays the received 3D model data in the Metaverse space. It receives 3D model data from the server as input and sends it to a VR headset or compatible display. Specifically, the device renders the 3D model via the VRHeadsetAPI.

[0975] Step 6:

[0976] When a user checks a 3D model of a dish, the server's emotion analysis engine acquires and analyzes emotional data from the user's facial expressions, voice, gestures, etc. The server receives the user's emotional data as input and performs data analysis using the emotion analysis engine. The analysis results are then sent to the server. Specifically, the server analyzes the data using the EmotionEngineAPI.

[0977] Step 7:

[0978] The generative AI model generates personalized food suggestions and special offers based on the analysis results. It receives the sentiment analysis results as input and uses the generative AI model to generate new suggestions. It notifies the user of the suggested dishes and special offers as output. Specifically, the server uses the AIModelAPI to generate suggestions and send them to the device.

[0979] Step 8:

[0980] The user selects a suggested dish, and the generation AI automatically processes the order on their behalf. As input, it receives the user's selection information and emotional data, and starts the negotiation process with the food service provider. As output, it generates an order confirmation notification and notifies the user. Specifically, the server automatically negotiates with the food service provider.

[0981] Step 9:

[0982] The server generates and sends a request to the infrastructure provider to fully automate communications and procedures. It receives order completion information and infrastructure request information as input and sends them to the infrastructure provider. It periodically checks the progress of infrastructure provision and notifies the user once the procedure is complete. Specifically, the server uses the infrastructure API to manage the automation process.

[0983] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0984] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0985] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0986] [Third embodiment]

[0987] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0988] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0989] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0990] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0991] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0992] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0993] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0994] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0995] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0996] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0997] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0998] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0999] The present invention is a system that simplifies procedures related to moving, allowing property viewing in the metaverse space, using generative AI to negotiate and handle contract procedures with real estate agents and public institutions, and automating infrastructure procedures through collaboration with infrastructure providers. Specific embodiments are described below.

[1000] Preview in the Metaverse space

[1001] 1. The user launches the Easy Move application and logs in.

[1002] 2. The server authenticates the user's login information and sends the authentication results to the terminal.

[1003] 3. Upon successful authentication, the device displays the option to begin browsing the metaverse.

[1004] 4. The user selects the property they would like to view.

[1005] 5. The server streams the 3D model and details of the selected property to the device.

[1006] 6. Users can use a virtual reality headset or compatible display to tour the property.

[1007] As a specific example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset.

[1008] Negotiations and contract procedures handled by generative AI

[1009] 1. After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like.

[1010] 2. The device sends the user's selection to the server.

[1011] 3. The server launches the generative AI model and begins negotiating with real estate agents and public institutions on behalf of the user.

[1012] 4. The generating AI periodically notifies the device via the server of the negotiation content and progress.

[1013] 5. The server summarizes the negotiation results, obtains the user's consent, generates a final contract, and digitally signs it.

[1014] As a specific example, a user likes "Apartment A" and leaves the price negotiation to the AI. The AI ​​negotiates the price with the real estate agent and notifies the user of the details after the negotiation is complete. If the user agrees, the AI ​​generates a final contract and digitally signs it.

[1015] Collaboration with infrastructure providers

[1016] 1. After the user completes the contract, the device displays the options to select infrastructure providers (electricity, gas, water, etc.).

[1017] 2. The user selects a company that provides the infrastructure products they need.

[1018] 3. The device sends the selection to the server.

[1019] 4. The server automatically initiates service start procedures with the selected infrastructure provider.

[1020] 5. Once the server receives confirmation from the infrastructure provider, it will notify the device.

[1021] For example, if a user selects "ABC Electric Power" and "XYZ Water" as their electricity and water contract partners, the server will send the user's information to both companies and automatically complete the procedures up to the start of service. Once completed, the user will be notified.

[1022] In this way, users can complete all processes in one go, from viewing the property in the metaverse space to contract procedures and automated infrastructure procedures, significantly reducing the time and effort required for moving.

[1023] The processing flow will be explained below.

[1024] Preview in the Metaverse space

[1025] Step 1:

[1026] The user launches the "Easy Move" application and enters login information.

[1027] Step 2:

[1028] The terminal collects the entered authentication information and sends it to the server.

[1029] Step 3:

[1030] The server verifies the received authentication information and sends the authentication result to the terminal.

[1031] Step 4:

[1032] The device will display the authentication results and, if successful, will display the option to begin browsing the metaverse.

[1033] Step 5:

[1034] The user selects the property they wish to view.

[1035] Step 6:

[1036] The terminal sends the ID of the selected property to the server.

[1037] Step 7:

[1038] The server searches for the property's 3D model and detailed information and generates streaming data.

[1039] Step 8:

[1040] The server transmits the streaming data to the terminal.

[1041] Step 9:

[1042] The device receives the streamed data and displays a 3D model of the property in the virtual space.

[1043] Step 10:

[1044] Users can view properties using a VR headset or compatible display.

[1045] Negotiations and contract procedures handled by generative AI

[1046] Step 1:

[1047] After viewing, users select the option to begin negotiations and contract procedures for properties they like.

[1048] Step 2:

[1049] The terminal transmits the user's selection to the server.

[1050] Step 3:

[1051] The server launches the generative AI model and collects the necessary information (property details, user information, etc.).

[1052] Step 4:

[1053] The generative AI will begin negotiations with the real estate agent and propose the price, contract terms, etc.

[1054] Step 5:

[1055] The generated AI periodically updates the negotiation content and progress to the server.

[1056] Step 6:

[1057] The server notifies the user's terminal of the updated information.

[1058] Step 7:

[1059] The user confirms the negotiation details and sends additional instructions (e.g., price renegotiation) to the server via the terminal.

[1060] Step 8:

[1061] The generation AI will summarize the final negotiation results and generate a final contract to obtain the user's consent.

[1062] Step 9:

[1063] The server sends the final contract to the terminal, and the user digitally signs it.

[1064] Collaboration with infrastructure providers

[1065] Step 1:

[1066] After the user completes the contract procedure, they can check the options for the necessary infrastructure products (electricity, gas, water, etc.).

[1067] Step 2:

[1068] The user selects the infrastructure product provider they need.

[1069] Step 3:

[1070] The device sends the selection to the server.

[1071] Step 4:

[1072] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider.

[1073] Step 5:

[1074] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[1075] Step 6:

[1076] Once the server receives confirmation that the procedure has been completed, it will notify the user's device.

[1077] Step 7:

[1078] The terminal displays a notification to the user that the procedure is complete.

[1079] Example 1

[1080] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1081] Moving procedures today require a wide range of preparations and procedures, placing a significant burden on users' time and effort. Furthermore, property viewings, price negotiations, and infrastructure contract procedures are often carried out as separate processes, resulting in overall inefficiency. For this reason, there is a demand for a system that can perform the entire moving process seamlessly and efficiently.

[1082] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1083] In this invention, the server includes a means for viewing properties in the metaverse space, a means for using generative AI to negotiate and process contracts with real estate agents and public institutions, a means for coordinating with multiple infrastructure providers and automating infrastructure procedures, a means for activating a generative AI model and negotiating real estate prices on behalf of the user, a means for streaming a 3D model and detailed information of the real estate property in real time, and a means for the user to view the property using a virtual reality headset. This allows the user to complete all processes, from viewing the property to contract procedures and automated infrastructure procedures, all in one place in the metaverse space.

[1084] The "metaverse space" is a virtual three-dimensional space constructed using virtual reality technology, where users can view properties through virtual reality headsets or compatible devices.

[1085] "Generative AI" is artificial intelligence that uses natural language processing and machine learning techniques based on large datasets to negotiate with real estate agents and public institutions on behalf of users.

[1086] A "real estate agent" refers to a company or individual who acts as an intermediary in the sale, purchase, or rental of real estate.

[1087] A "public institution" is an organization that provides public services or procedures, such as a local government or government agency.

[1088] An "infrastructure provider" is a company that provides basic infrastructure services necessary for daily life, such as electricity, gas, and water.

[1089] A "viewing" is the act of looking around inside a property before purchasing or renting it.

[1090] A "3D model" is digital data with a three-dimensional shape or structure that is displayed using computer graphics.

[1091] "Streaming transmission" is a technology for transmitting content such as audio, video, and data over a network in real time.

[1092] A "virtual reality headset" is a device worn by a user to visually experience a virtual space.

[1093] A "prompt sentence" is a sentence used to input specific instructions to a generative AI model, allowing the AI ​​to respond appropriately or output based on those instructions.

[1094] "Real-time" refers to processing or communication occurring immediately, without delay.

[1095] This invention is a system that allows users to efficiently carry out procedures related to moving, primarily by allowing them to view properties in the metaverse space, using generative AI to negotiate and process contracts with real estate agents and public institutions, and automating infrastructure procedures through collaboration with infrastructure providers. Below we will explain how to specifically implement this system.

[1096] Preview in the Metaverse space

[1097] The user launches the Easy Move app on their smartphone or PC and logs in. The server compares the received user ID and password with the information in the database and sends the authentication result to the device. If the device confirms successful authentication, it displays an option to start a metaverse tour. When the user selects a desired property from the displayed list of candidate properties, the server retrieves a 3D model and detailed information of the selected property from the database and streams them to the device in real time. The user then uses a virtual reality headset or compatible display to tour the property in a virtual space. For example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model of Apartment A and its detailed information to the device. The user then uses a VR headset to begin the virtual tour while enjoying a realistic visual experience.

[1098] Negotiations and contract procedures handled by generative AI

[1099] After the virtual viewing, the user selects the option to negotiate the price and conditions of the property. The device sends the user's request to start negotiations to the server. The server launches a generative AI model, and the generative AI negotiates directly with the real estate agent or public institution using the specified prompt as input. For example, the prompt could be, "Please negotiate a price reduction of approximately 10% for Apartment A." The generative AI considers an appropriate negotiation strategy and automatically begins negotiations, with progress periodically notified to the device via the server. The server generates a final contract based on the negotiation results provided by the generative AI and digitally signs it. The device then asks the user to confirm the final contract and signature. If the user agrees, the AI ​​digitally signs it.

[1100] Collaboration with infrastructure providers

[1101] After the contract is completed, the terminal displays options for selecting the necessary infrastructure product providers (electricity, gas, water, etc.). The user selects the desired infrastructure provider from the displayed list. The terminal then sends information about the infrastructure provider selected by the user to the server. The server automatically sends the user's information along with the necessary procedures to the selected infrastructure provider, and carries out the procedures to start the infrastructure service. When the server receives an approval notification from the infrastructure provider, it immediately notifies the terminal of the result. For example, if a user selects "ABC Electric Power" and "XYZ Water" as their electricity and water contract partners, the server sends the user's information to both companies and automatically carries out the procedures up to the start of service. Once the procedures are complete, the user is notified.

[1102] This allows users to carry out all the processes required for moving in one place, from viewing properties in the metaverse space to negotiating and contract procedures using generative AI, and even automating infrastructure procedures.

[1103] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1104] System program processing flow

[1105] Preview in the Metaverse space

[1106] Step 1:

[1107] The user launches the Easy Move app on their smartphone or PC and displays the login screen. Specifically, they enter their user ID and password and send the login information from the device.

[1108] Step 2:

[1109] The server compares the received user ID and password with the information in the database and determines whether the authentication was successful. Here, the input is the user's authentication information and the output is the authentication result. If the authentication is successful, the server generates an authentication token and sends it to the terminal.

[1110] Step 3:

[1111] The terminal confirms the successful authentication notification received from the server and displays the option to start browsing the metaverse on the screen. The input is the successful authentication notification from the server, and the output is a user interface that displays the option to start browsing the metaverse.

[1112] Step 4:

[1113] The user selects the desired property from the displayed list of potential properties. The user's selection is the input, and information about the selected property is the output.

[1114] Step 5:

[1115] The server retrieves the 3D model and details of the selected property from the database and streams them to the device in real time. Here, the input is the property ID selected by the user, and the output is a data stream of the 3D model and details of the property.

[1116] Step 6:

[1117] A user uses a virtual reality headset or compatible display to virtually tour a property. Specifically, the user walks around the room, checking the furniture arrangement and room size. The input is a streamed 3D model and detailed information, and the output is the user's visual experience.

[1118] Negotiations and contract procedures handled by generative AI

[1119] Step 1:

[1120] After the virtual viewing, the user selects an option to negotiate the price and terms of the property. The user's selection is the input, and a request to start negotiations is the output.

[1121] Step 2:

[1122] The terminal sends the user's negotiation initiation request to the server, where the input is the user's request and the output is the negotiation request sent to the server.

[1123] Step 3:

[1124] The server launches the generative AI model and sends a prompt as input to the model. The input is a user-provided prompt, and the output is a negotiation strategy generated by the AI. Specifically, the prompt used is "Please negotiate a price reduction of approximately 10% for Apartment A."

[1125] Step 4:

[1126] The generation AI negotiates directly with real estate agents and public institutions, and notifies the terminal of the progress via the server. The input is the negotiation data acquired by the AI, and the output is a progress notification. The generation AI periodically checks the progress and sends the results to the server.

[1127] Step 5:

[1128] The server generates a final contract based on the negotiation results provided by the AI ​​and digitally signs it. Specifically, the contract is created based on the data provided by the AI ​​and signed using digital signature software. The input is the negotiation results, and the output is a signed contract.

[1129] Step 6:

[1130] The terminal asks the user to confirm the final contract and signature. The input is the signed contract, and the output is a confirmation screen displayed in the user interface. If the user agrees, the AI ​​digitally signs it.

[1131] Collaboration with infrastructure providers

[1132] Step 1:

[1133] After the contract is completed, the terminal displays the options to select the necessary infrastructure providers (electricity, gas, water, etc.). The input is a contract completion notification, and the output is a list of infrastructure providers.

[1134] Step 2:

[1135] The user selects the desired infrastructure provider from the displayed list. The input is a list of infrastructure providers, and the output is the user's selection.

[1136] Step 3:

[1137] The terminal transmits information about the infrastructure provider selected by the user to the server, where the input is the user's selection information and the output is the information transmitted to the server.

[1138] Step 4:

[1139] The server automatically sends the necessary procedures along with the user information to the selected infrastructure provider, and carries out the procedures to start the infrastructure service. The input is the user information and the selected infrastructure provider information, and the output is the automated procedure data.

[1140] Step 5:

[1141] When the server receives a confirmation notification from the infrastructure provider, it immediately notifies the terminal of the result. Specifically, the server receives confirmation from each infrastructure company and sends it to the terminal in real time. The input is the confirmation notification from the infrastructure company, and the output is the notification to the terminal.

[1142] The above is a specific explanation of each processing step of the system program.

[1143] (Application example 1)

[1144] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1145] Conventional moving-related procedures require a lot of time and effort, and are complicated because they require separate procedures such as viewing properties, negotiating and signing contracts with real estate agents, and completing procedures with public institutions and infrastructure providers. These processes are also cumbersome for users, reducing overall efficiency. The present invention aims to significantly reduce the time and effort required for moving by integrating and automating these procedures.

[1146] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1147] In this invention, the server includes means for viewing properties in the metaverse space, means for using generative AI to negotiate and process contracts with real estate agents and public institutions, means for coordinating with multiple infrastructure providers and automating infrastructure procedures, means for including a virtual real estate agent application running on a smart device, means for rendering 3D models, means for notifying users of the progress of the negotiation process using a generative AI model, means for generating contracts using digital signatures, and means for automatically setting up infrastructure services. This allows users to complete everything from viewing properties to completing contract procedures and infrastructure procedures all in one place in the metaverse space, thereby streamlining and shortening the time required for moving-related processes.

[1148] The "metaverse space" is a virtual three-dimensional space constructed on the Internet, where users can carry out various activities through avatars.

[1149] "Property viewing" refers to the act of viewing the interior of a real estate property selected by the user, allowing the user to visually experience a realistically recreated property using virtual reality technology.

[1150] "Generative AI" is a type of artificial intelligence model that has the ability to learn patterns from large amounts of data and generate new information.

[1151] "Means of acting on behalf of the user in negotiations and contract procedures" refers to a function in which the generative AI negotiates and processes contracts with real estate agents and public institutions on behalf of the user.

[1152] "Infrastructure providers" refer to companies that provide basic services such as electricity, gas, water, and communications.

[1153] "Means for automating infrastructure procedures" refers to a system function that automatically carries out the necessary contract procedures with the infrastructure provider selected by the user.

[1154] The "Virtual Real Estate Agent Application" is an application that runs on smart devices and allows users to search for, view, negotiate, and sign contracts for real estate properties in a virtual space.

[1155] "Smart devices" refers to portable electronic devices with internet connectivity, such as smartphones, tablets, smart glasses, and head-mounted displays.

[1156] A "3D model" refers to a model of a property that is reproduced in a three-dimensional virtual space, allowing users to visually check the details of the property.

[1157] "Rendering" refers to the process by which a computer generates and displays an image from three-dimensional data.

[1158] "Means of notifying the progress of the negotiation process using a generative AI model" refers to a function in which the generative AI analyzes the progress of the negotiation and notifies the user of the results in real time.

[1159] A "digital signature" is a method for electronically guaranteeing the authenticity of a document and is used in legal documents such as contracts.

[1160] "Automatic setup of infrastructure services" is a process of automatically performing the necessary settings for the infrastructure provision services selected by the user.

[1161] This invention is a system that uses a "virtual real estate agent application" that runs on a smart device to perform property viewings in the metaverse space, negotiate and complete contract procedures with real estate agents using generative AI, and automatically connect with infrastructure providers.

[1162] The following hardware and software are used to implement the present invention.

[1163] Hardware: iPhone, Android smartphone, Oculus Quest 2

[1164] Software: Unity (3D application development), OpenAI GPT-4 (generative AI), AWS RDS (database)

[1165] System program processing

[1166] Property viewing in the Metaverse

[1167] The server sends a 3D model and detailed information of the property selected by the user to the device, where the user can visually check it using a VR headset. Detailed information about each room and facility within the property is also provided at the same time, giving the user the experience of actually visiting the property.

[1168] Generative AI for Negotiation and Contract Procedures

[1169] When a user selects an option to begin negotiations and contract procedures for a property they like, the device sends that information to the server. The server then activates a generative AI model and negotiates with real estate agents and public institutions on the user's behalf. The device is periodically notified of the negotiation content and progress via the server. Once the negotiation is complete and the user agrees, the generative AI generates a final contract and digitally signs it.

[1170] Collaboration with infrastructure providers

[1171] After completing the contract, the user selects the necessary infrastructure provider from the options displayed on the terminal. When that information is sent to the server, the server automatically initiates the service start procedure with the selected company. Once confirmation is received from the infrastructure provider, the server notifies the terminal. This eliminates the need for the user to perform any additional steps for infrastructure procedures.

[1172] Specific examples

[1173] As a concrete example, after logging in, a user can select Apartment A in a major city and view a 3D model and detailed information about the property using a VR headset. The AI ​​then negotiates the price and, with the user's consent, generates and signs a final contract. The AI ​​then automatically processes the contract with the infrastructure provider selected by the user, completing the entire process in one go.

[1174] Prompt Sentence Examples

[1175] "Please negotiate the price with the real estate agent regarding Apartment A in a major city that User ID 12345 is viewing and notify me of the results."

[1176] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1177] Step 1:

[1178] A user logs into the "Virtual Real Estate Agent" application.

[1179] Input: User login information (email address and password)

[1180] Process: The device uses Firebase Authentication to send login information to the server for authentication.

[1181] Output: Sends a successful authentication notification to the device.

[1182] Step 2:

[1183] Upon successful authentication, the device will display an option to begin browsing the metaverse.

[1184] Input: Authentication success notification

[1185] Action: Display the option to start the tour on the terminal screen.

[1186] Output: User's selection to start preview

[1187] Step 3:

[1188] The user selects the property they wish to view.

[1189] Input: Property selection information

[1190] Processing: The terminal sends the ID of the selected property to the server.

[1191] Output: The server provides a 3D model of the property and detailed information.

[1192] Step 4:

[1193] The server streams a 3D model and detailed information of the selected property to the device.

[1194] Input: Property ID

[1195] Processing: The server retrieves the property's 3D model and detailed information from the database (AWS RDS) and streams it to the device.

[1196] Output: The 3D model and detailed information will be displayed on your device.

[1197] Step 5:

[1198] Users can use a VR headset to view the property.

[1199] Input: 3D model and detailed information

[1200] Processing: The device uses Unity to render the 3D model and display it on the VR headset.

[1201] Output: A virtual property tour experience for the user

[1202] Step 6:

[1203] The user selects the option to begin negotiations and contract procedures after viewing.

[1204] Input: User's choice to start negotiation / contract procedure

[1205] Processing: The terminal sends the selection information to the server.

[1206] Output: Server launches generative AI model

[1207] Step 7:

[1208] Generative AI will begin negotiations with real estate agents and public institutions.

[1209] Input: User negotiation information

[1210] Processing: The server uses the OpenAI GPT-4 API to launch the generation AI and automatically generate the negotiation content. The server inputs a prompt and generates the negotiation content.

[1211] Output: The progress and results of the negotiation are stored on the server and periodically sent to the terminal.

[1212] Step 8:

[1213] The server summarizes the negotiation results and notifies the user.

[1214] Input: Negotiation result by GPT-4

[1215] Processing: The server analyzes the negotiation result, notifies the user of the result, and accepts the user's feedback.

[1216] Output: User consent or correction request

[1217] Step 9:

[1218] If the user consents, the generation AI will generate the final contract and digitally sign it.

[1219] Input: User consent

[1220] Processing: The server uses the DocuSign API to generate a final, digitally signed contract.

[1221] Output: A completed, digitally signed contract

[1222] Step 10:

[1223] After the user completes the contract, the system displays options for selecting infrastructure product providers.

[1224] Input: Notice of Contract Completion

[1225] Action: Display infrastructure selection options on the terminal screen.

[1226] Output: User's infrastructure product selection

[1227] Step 11:

[1228] The user selects a company that provides the infrastructure products they need.

[1229] Input: Infrastructure provider selection information

[1230] Processing: The device sends the selection to the server.

[1231] Output: Server starts infrastructure procedures

[1232] Step 12:

[1233] The server automatically completes the service start-up procedures with the infrastructure provider.

[1234] Input: Infrastructure provider selection information

[1235] Processing: The server performs the procedure via the infrastructure provider's API and obtains confirmation that the service has started.

[1236] Output: Send a notification to the terminal that the infrastructure procedure is complete.

[1237] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1238] The present invention is a system that simplifies the user's moving procedure and provides a more personalized experience by combining an emotion engine. Specific embodiments that combine an emotion engine will be described below.

[1239] Preview in the Metaverse space

[1240] 1. The user launches the Easy Move application and enters their login information.

[1241] 2. The server authenticates the user's login information and sends the authentication results to the terminal.

[1242] 3. Upon successful authentication, the device displays the option to begin browsing the metaverse.

[1243] 4. The user selects the property they would like to view.

[1244] 5. The device sends the ID of the selected property to the server.

[1245] 6. The server retrieves the property's 3D model and detailed information and generates streaming data.

[1246] 7. The server sends the streaming data to the device.

[1247] 8. The device receives the streamed data and displays a 3D model of the property in the virtual space.

[1248] 9. Users can tour the property using a VR headset or compatible display.

[1249] 10. The device uses an emotion engine to analyze the user's emotions during the viewing and transmits the results to the server in real time.

[1250] 11. The server accumulates emotional data and understands the user's reactions.

[1251] As a concrete example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset. At the same time, the emotion engine analyzes the user's emotions (for example, surprise or joy) and sends them to the server in real time.

[1252] Negotiations and contract procedures handled by generative AI

[1253] 1. After viewing, the user selects the option to begin negotiations and contract procedures for the property they like.

[1254] 2. The device sends the user's selection to the server.

[1255] 3. The server launches the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).

[1256] 4. The generative AI begins negotiations with the real estate agent and proposes the price, contract terms, etc.

[1257] 5. The generated AI periodically updates the negotiation content and progress to the server.

[1258] 6. The server notifies the user's device of the updated information.

[1259] 7. The user confirms the negotiation details and sends additional instructions (e.g., renegotiating the price) to the server via the terminal.

[1260] 8. The generation AI summarizes the final negotiation results and generates a final contract for the user's consent.

[1261] 9. The server sends the final contract to the terminal, and the user digitally signs it, etc.

[1262] As a concrete example, a user likes "Apartment A" and leaves the price negotiation to the AI. The AI ​​negotiates the price with the real estate agent, updating the negotiation status in real time, along with feedback on the user's emotional reaction. After the negotiation, the content is notified to the user, and if the user agrees, the generation AI generates a final contract and digitally signs it.

[1263] Collaboration with infrastructure providers

[1264] 1. After the user completes the contract procedure, they check the selection options for the necessary infrastructure products (electricity, gas, water, etc.).

[1265] 2. The user selects the infrastructure product provider they need.

[1266] 3. The device sends the selection to the server.

[1267] 4. The server automatically generates and sends a procedure request for starting the service to the selected infrastructure provider.

[1268] 5. The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[1269] 6. Once the server receives confirmation that the procedure has been completed, it notifies the user's device.

[1270] 7. The terminal displays a notification to the user that the procedure is complete.

[1271] As a specific example, if a user selects "electric power company A" and "water company B" as their electricity and water contract partners, the server will send the user's information to both companies, automatically carry out the procedures up to the start of service, and notify the user once completion has been completed.

[1272] Through these processes, users can efficiently complete the complex procedures related to moving all at once, and the emotion engine reflects the user's emotions in real time, allowing for more personalized service.

[1273] The processing flow will be explained below.

[1274] Preview in the Metaverse space

[1275] Step 1:

[1276] The user launches the "Easy Move" application and enters login information.

[1277] Step 2:

[1278] The terminal collects the entered authentication information and sends it to the server.

[1279] Step 3:

[1280] The server verifies the received authentication information and sends the authentication result to the terminal.

[1281] Step 4:

[1282] The device will display the authentication results and, if successful, will display the option to begin browsing the metaverse.

[1283] Step 5:

[1284] The user selects the property they wish to view.

[1285] Step 6:

[1286] The terminal sends the ID of the selected property to the server.

[1287] Step 7:

[1288] The server searches for the property's 3D model and detailed information and generates streaming data.

[1289] Step 8:

[1290] The server transmits the streaming data to the terminal.

[1291] Step 9:

[1292] The device receives the streamed data and displays a 3D model of the property in the virtual space.

[1293] Step 10:

[1294] Users can view properties using a VR headset or compatible display.

[1295] Step 11:

[1296] The device uses an emotion engine to analyze the user's facial expressions and voice during the viewing and transmits the data to the server in real time.

[1297] Step 12:

[1298] The server accumulates emotional data and grasps the user's reactions in real time.

[1299] Negotiations and contract procedures handled by generative AI

[1300] Step 1:

[1301] After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like.

[1302] Step 2:

[1303] The terminal transmits the user's selection to the server.

[1304] Step 3:

[1305] The server launches the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).

[1306] Step 4:

[1307] The generative AI will begin negotiations with the real estate agent and propose the price, contract terms, etc.

[1308] Step 5:

[1309] The generated AI periodically updates the negotiation content and progress to the server.

[1310] Step 6:

[1311] The server notifies the user's terminal of the updated information.

[1312] Step 7:

[1313] The user confirms the negotiation details and sends additional instructions (e.g., price renegotiation) to the server via the terminal.

[1314] Step 8:

[1315] The generation AI will summarize the final negotiation results and generate a final contract to obtain the user's consent.

[1316] Step 9:

[1317] The server sends the final contract to the terminal, and the user digitally signs it.

[1318] Collaboration with infrastructure providers

[1319] Step 1:

[1320] After the user completes the contract procedure, they can check the options for the necessary infrastructure products (electricity, gas, water, etc.).

[1321] Step 2:

[1322] The user selects the infrastructure product provider they need.

[1323] Step 3:

[1324] The device sends the selection to the server.

[1325] Step 4:

[1326] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider.

[1327] Step 5:

[1328] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[1329] Step 6:

[1330] Once the server receives confirmation that the procedure has been completed, it will notify the user's device.

[1331] Step 7:

[1332] The terminal displays a notification to the user that the procedure is complete.

[1333] Example 2

[1334] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1335] Conventional moving procedures require complicated procedures and numerous steps, placing a heavy burden on users. Furthermore, personalized services that take into account the user's feelings are not provided, and the user experience is generally limited.

[1336] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for authenticating a user by having the user launch an application and enter login information; means for the authenticated user to select a property they wish to view and send the ID of the selected property to the server; means for the server to search for a 3D model and detailed information of the property and generate and send streaming data; means for the terminal to receive the streaming data and display the 3D model of the property in a virtual space; means for the terminal to analyze the user's emotions during the viewing using an emotion analysis engine and send the analysis data to the server in real time; means for the server to accumulate emotion data and understand the user's reactions; means for starting negotiations with a real estate agent using a generative AI and updating the server with the negotiation content and progress; means for the generative AI to generate a final contract and for the user to digitally sign it; and means for coordinating with multiple infrastructure providers and automating infrastructure procedures. This allows users to efficiently complete complicated moving procedures and enjoy personalized services based on their emotions.

[1337] "User" refers to an individual or corporation that uses this system to carry out moving procedures.

[1338] "Application" refers to a software program that a user uses to operate through a terminal.

[1339] "Login information" refers to authentication information such as user ID and password that a user enters when accessing a system.

[1340] "Server" refers to a central processing unit that processes data and provides information in response to user requests.

[1341] "Property" refers to the building or home that the user selects as their destination.

[1342] "ID of selected property" refers to an identifier that uniquely identifies the property that the user wishes to view.

[1343] A "3D model" refers to data that reproduces the three-dimensional structure of a property in virtual space.

[1344] "Detailed information" refers to information about the property, such as location, layout, and facilities.

[1345] "Streaming data" refers to data transmitted from a server to a terminal in real time.

[1346] "Terminal" refers to a device operated by a user (e.g., a smartphone, tablet, PC, etc.).

[1347] "Virtual space" refers to a three-dimensional virtual reality environment generated by a computer.

[1348] An "emotion analysis engine" refers to an algorithm or software for analyzing user emotions.

[1349] "Generative AI" refers to an artificial intelligence system that automatically negotiates with real estate agents and generates contracts.

[1350] "Infrastructure provider" refers to a company that provides infrastructure services such as electricity, gas, and water.

[1351] A "digital signature" refers to a means of signing a contract or document electronically.

[1352] The present invention is a system that simplifies the user's moving process and, by combining it with a sentiment analysis engine, provides a more personalized experience.

[1353] First, a user launches the application on their device and enters their login information. This login information is sent to the server, which authenticates it. If authentication is successful, the device displays an option to start viewing properties in the metaverse space. The user selects this option and chooses the property they want.

[1354] The device then sends the ID of the selected property to the server, which then searches for the property's 3D model and detailed information and generates streaming data. This streaming data is then sent from the server to the device, which receives it and displays the property's 3D model in a virtual space. The user can then view the property in detail in the virtual space using a VR headset or compatible display.

[1355] Furthermore, the user's emotions during the viewing are analyzed in real time using an emotion analysis engine installed on the device. This emotion data is sent from the device to a server, which then stores it and can grasp the user's reaction.

[1356] After viewing the property, if the user wishes to begin negotiations or contract procedures for a property they like, they select an option displayed on their device. The device sends this selection to the server, which then activates the generative AI model to collect the necessary information. The generative AI begins negotiations with the real estate agent and updates the server with the progress. The user can review this information on their device and provide additional instructions as needed. The generative AI then summarizes the final negotiation results and generates a final contract, which the user can then digitally sign.

[1357] Once the contract procedures are complete, the user can select a provider of infrastructure products (electricity, gas, water, etc.). This selection is sent from the device to the server, which then automatically initiates the service start procedure with each provider. Once the procedure is complete, the server notifies the user's device, and the device displays a completion message to the user.

[1358] As a specific example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset. At the same time, the emotion analysis engine analyzes the user's emotions (for example, surprise or joy) and sends the information to the server in real time. If the user likes the property and leaves the price negotiations to the generation AI, the generation AI will negotiate the price with the real estate agent, and the user will be notified of the negotiation status via the server. The final contract is then generated and digitally signed. Finally, the user selects an infrastructure provider, and the process to start the service is automatically completed.

[1359] An example of a prompt using a generative AI model might be:

[1360] "Create a program that allows a user to negotiate the price of a property they have selected with a real estate agent, and notifies the user of the progress in real time."

[1361] In this way, the user can efficiently go through the complicated procedures related to moving and can enjoy personalized services based on their emotions.

[1362] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1363] Step 1:

[1364] A user starts an application and enters login information. A user opens an application and enters their user ID and password. This input data is sent from the device to the server.

[1365] Step 2:

[1366] The server authenticates the user's login information and sends the authentication result to the terminal. The server compares the received user ID and password with the database and generates an authentication result (success or failure). The authentication result is sent to the terminal.

[1367] Step 3:

[1368] When authentication is successful, the device displays an option to start browsing the metaverse. The device receives a notification of successful authentication and displays a button to start browsing on the screen. The user selects the option to start browsing.

[1369] Step 4:

[1370] The user selects the property they wish to view. The user selects the property they wish to view from the property list displayed on the screen. This selection information (property ID) is sent from the terminal to the server.

[1371] Step 5:

[1372] The terminal sends the ID of the selected property to the server. The terminal sends the property ID to the server, and the server receives the ID.

[1373] Step 6:

[1374] The server searches for the property's 3D model and detailed information and generates streaming data.The server searches the database based on the received property ID and obtains the property's 3D model and detailed information.The server generates streaming data based on this data.

[1375] Step 7:

[1376] The server transmits the streaming data to the terminal. The server transmits the generated streaming data to the terminal. The terminal receives it.

[1377] Step 8:

[1378] The device receives the streamed data and displays a 3D model of the property in the virtual space. The device processes the received streamed data and displays a 3D model of the property in the virtual space. The user begins viewing the property using a VR headset.

[1379] Step 9:

[1380] The device analyzes the user's emotions during the viewing using an emotion analysis engine and sends the data to the server in real time. The device uses cameras and sensors to capture the user's facial expressions and behavior, which are then analyzed using the emotion analysis engine. This analyzed data is then sent to the server.

[1381] Step 10:

[1382] The server accumulates the emotional data and understands the user's reaction. The server accumulates the received emotional data in a database and analyzes and understands the user's reaction.

[1383] Step 11:

[1384] After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like. The user selects the option to begin negotiations displayed on the screen. This selection is sent from the terminal to the server.

[1385] Step 12:

[1386] The server runs the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).The server runs the generative AI model and collects property details, user information, and emotional data.

[1387] Step 13:

[1388] The generation AI starts negotiations with the real estate agent and proposes the price and contract terms. The generation AI starts negotiations with the real estate agent on the price and contract terms. The progress of this negotiation is updated to the server.

[1389] Step 14:

[1390] The generation AI periodically updates the negotiation content and progress to the server. The generation AI sends the negotiation progress and new proposals to the server.

[1391] Step 15:

[1392] The server notifies the user's device of the updated information. The server notifies the user's device of the progress status from the generated AI. The user confirms this.

[1393] Step 16:

[1394] The user confirms the negotiation details and sends additional instructions (e.g., renegotiating the price) to the server via the terminal. The user confirms the negotiation details and gives additional instructions as necessary. This instruction information is sent from the terminal to the server.

[1395] Step 17:

[1396] The generation AI summarizes the final negotiation results and generates a final contract to obtain the user's consent.The generation AI generates a final contract based on the final negotiation results and carries out the procedure to obtain the user's consent.

[1397] Step 18:

[1398] The server sends the final contract to the terminal, and the user digitally signs it, etc. The server sends the final contract to the user's terminal, and the user digitally signs it.

[1399] Step 19:

[1400] After the user completes the contract procedure, they can check the selection options for the necessary infrastructure products (electricity, gas, water, etc.). The user can view the selection options for infrastructure products on the screen after the contract is completed.

[1401] Step 20:

[1402] The user selects the infrastructure provider they need. The user selects the infrastructure provider on the screen, and this selection information is sent from the terminal to the server.

[1403] Step 21:

[1404] The terminal sends the selection to the server. The terminal sends the user's selection to the server, which receives it.

[1405] Step 22:

[1406] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider. The server automatically generates and transmits a service start request to the corresponding infrastructure provider.

[1407] Step 23:

[1408] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure. The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[1409] Step 24:

[1410] Once the server receives confirmation that the procedure has been completed, it notifies the user's device. The server receives a notification of completion of the procedure from the infrastructure provider and notifies the user's device.

[1411] Step 25:

[1412] The terminal displays a notification to the user that the procedure has been completed. The terminal receives the notification and displays a completion message on the screen.

[1413] (Application example 2)

[1414] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1415] Today, when users use food delivery services, the process of selecting food and ordering is complicated, resulting in an inconsistent user experience. Furthermore, personalized suggestions based on user preferences and emotions are not provided, leading to low satisfaction. Furthermore, the infrastructure procedures after ordering are performed manually, which is time-consuming and labor-intensive.

[1416] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1417] In this invention, the server includes a means for displaying a 3D model of the food or dish selected by the user in the metaverse space, a means for acquiring the user's emotional data using an emotion analysis engine and having a generative AI model suggest dishes and provide special offers, a means for using the generative AI to negotiate with food service providers and handle ordering procedures on behalf of the user, and a means for coordinating with multiple infrastructure providers and automating infrastructure procedures. This allows the user to check the dishes in detail in the virtual space, receive personalized suggestions and special offers based on their emotions, and automate ordering and infrastructure procedures, improving overall convenience and satisfaction.

[1418] "User" means an individual or organization that orders food or meals using the food delivery service.

[1419] "Food or dishes" includes dishes and ingredients ordered and delivered through food delivery services.

[1420] "3D Model" means a three-dimensional digital representation of a food or dish that is visually displayed in the Metaverse space.

[1421] The "metaverse space" is a digital world in which users participate using virtual reality (VR) technology.

[1422] An "emotion analysis engine" is a technology that recognizes and analyzes emotions from a user's facial expressions, voice, gestures, etc.

[1423] A "generative AI model" refers to an artificial intelligence algorithm that generates new dish suggestions and special offers based on user emotional data, etc.

[1424] "Food and beverage providers" are companies and stores that provide food and meals through food delivery services.

[1425] "Negotiation and ordering process" refers to the process of negotiating prices and terms with a food and beverage provider on behalf of the user and finalizing the order.

[1426] "Infrastructure providers" are companies that provide necessary supplies and services related to food delivery services, such as logistics, containers, and cutlery.

[1427] "Means for automating infrastructure procedures" refers to technologies and processes for automating communication and procedures with infrastructure providers.

[1428] This invention is a system that displays 3D models in the metaverse space, analyzes emotions, and provides suggestions and special offers using generative AI models when a user uses a food delivery service, as well as automatically connecting with infrastructure providers. Specific embodiments are described below.

[1429] 1. User registration and first login

[1430] The server receives account information from the user and authenticates the login information. The software used is the authentication API and requests library. After authentication, the server sends the authentication results to the terminal, and the user logs in to the "Smart Food Delivery" application.

[1431] 2. Food selection and 3D model display

[1432] Users select the food or dish they want to order from categories within the app. The device sends the selected item information to the server, which then generates a corresponding 3D model and displays it visually in the Metaverse space. The hardware used is a VR headset and a compatible display, and the software uses the VRHeadsetAPI.

[1433] 3. Suggestions based on emotion analysis and generative AI

[1434] When a user checks a 3D model of a dish, the emotion analysis engine acquires and analyzes emotional data from the user's facial expressions, voice, gestures, etc. The analysis results are sent to the server in real time. The software used is EmotionEngineAPI. Based on this data, the server uses a generative AI model to make personalized dish suggestions and offer special offers. The software used is AIModelAPI.

[1435] 4. Ordering process and negotiations with food and beverage providers

[1436] The user selects their favorite dish, and the generation AI automatically processes the order. The generation AI also negotiates with the food and beverage provider to confirm the order at an appropriate price and terms. In addition, the server notifies the user's device of the order progress in real time. The software used is the requests library.

[1437] 5. Infrastructure procedures and automation integration

[1438] After the order process is completed, the server automatically generates and sends a request to the infrastructure provider. The server fully automates communication and procedures, and periodically checks the progress. Once the process is complete, a notification is sent to the user's device. The software used is the requests library and infrastructure API.

[1439] Specific examples

[1440] For example, when a user logs into the "Smart Food Delivery" app and selects a specific food item, the server will deliver a 3D model of that food to the user's VR headset. At the same time, the user's emotions are analyzed, and the generative AI model will suggest new dishes or specific special offers. When the user orders the suggested dish, the generative AI will automatically complete the procedure, and related infrastructure procedures will also be handled automatically.

[1441] Example prompt sentence:

[1442] "Users can log in and see 3D models of food in the Metaverse."

[1443] "When a user selects a dish, analyze the user's emotions and use generative AI to suggest new dishes."

[1444] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1445] Step 1:

[1446] The server receives account information from the user and authenticates the login information. It receives the user's account information (username, password) as input, compares it with the database to generate an authentication result, and sends it to the terminal. Specifically, the server uses the requests library to communicate with the authentication API.

[1447] Step 2:

[1448] The terminal receives the authentication result and allows the user to log in. Based on the authentication result received from the server as input, the terminal displays the success or failure of the login in the user interface, in particular, displaying a success message or an error message.

[1449] Step 3:

[1450] The user selects the food or dish they want to order from the categories in the app. As input, the device receives the selection from the list of dishes provided in the user interface. The device sends the ID of the selected item to the server. Specifically, the device converts the selection into JSON format and sends a POST request to the server.

[1451] Step 4:

[1452] The server generates a corresponding 3D model based on the selected item information and sends it to the device. It receives the ID of the food or dish selected by the user as input and retrieves the 3D model data corresponding to that ID from the database. It then sends the 3D model data in JSON format to the device. Specifically, the server uses the VRHeadsetAPI to generate the 3D model data.

[1453] Step 5:

[1454] The device visually displays the received 3D model data in the Metaverse space. It receives 3D model data from the server as input and sends it to a VR headset or compatible display. Specifically, the device renders the 3D model via the VRHeadsetAPI.

[1455] Step 6:

[1456] When a user checks a 3D model of a dish, the server's emotion analysis engine acquires and analyzes emotional data from the user's facial expressions, voice, gestures, etc. The server receives the user's emotional data as input and performs data analysis using the emotion analysis engine. The analysis results are then sent to the server. Specifically, the server analyzes the data using the EmotionEngineAPI.

[1457] Step 7:

[1458] The generative AI model generates personalized food suggestions and special offers based on the analysis results. It receives the sentiment analysis results as input and uses the generative AI model to generate new suggestions. It notifies the user of the suggested dishes and special offers as output. Specifically, the server uses the AIModelAPI to generate suggestions and send them to the device.

[1459] Step 8:

[1460] The user selects a suggested dish, and the generation AI automatically processes the order on their behalf. As input, it receives the user's selection information and emotional data, and starts the negotiation process with the food service provider. As output, it generates an order confirmation notification and notifies the user. Specifically, the server automatically negotiates with the food service provider.

[1461] Step 9:

[1462] The server generates and sends a request to the infrastructure provider to fully automate communications and procedures. It receives order completion information and infrastructure request information as input and sends them to the infrastructure provider. It periodically checks the progress of infrastructure provision and notifies the user once the procedure is complete. Specifically, the server uses the infrastructure API to manage the automation process.

[1463] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1464] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1465] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1466] [Fourth embodiment]

[1467] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1468] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1469] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1470] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1471] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1472] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1473] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1474] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1475] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1476] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1477] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1478] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1479] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1480] The present invention is a system that simplifies procedures related to moving, allowing property viewing in the metaverse space, using generative AI to negotiate and handle contract procedures with real estate agents and public institutions, and automating infrastructure procedures through collaboration with infrastructure providers. Specific embodiments are described below.

[1481] Preview in the Metaverse space

[1482] 1. The user launches the Easy Move application and logs in.

[1483] 2. The server authenticates the user's login information and sends the authentication results to the terminal.

[1484] 3. Upon successful authentication, the device displays the option to begin browsing the metaverse.

[1485] 4. The user selects the property they would like to view.

[1486] 5. The server streams the 3D model and details of the selected property to the device.

[1487] 6. Users can use a virtual reality headset or compatible display to tour the property.

[1488] As a specific example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset.

[1489] Negotiations and contract procedures handled by generative AI

[1490] 1. After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like.

[1491] 2. The device sends the user's selection to the server.

[1492] 3. The server launches the generative AI model and begins negotiating with real estate agents and public institutions on behalf of the user.

[1493] 4. The generating AI periodically notifies the device via the server of the negotiation content and progress.

[1494] 5. The server summarizes the negotiation results, obtains the user's consent, generates a final contract, and digitally signs it.

[1495] As a specific example, a user likes "Apartment A" and leaves the price negotiation to the AI. The AI ​​negotiates the price with the real estate agent and notifies the user of the details after the negotiation is complete. If the user agrees, the AI ​​generates a final contract and digitally signs it.

[1496] Collaboration with infrastructure providers

[1497] 1. After the user completes the contract, the device displays the options to select infrastructure providers (electricity, gas, water, etc.).

[1498] 2. The user selects a company that provides the infrastructure products they need.

[1499] 3. The device sends the selection to the server.

[1500] 4. The server automatically initiates service start procedures with the selected infrastructure provider.

[1501] 5. Once the server receives confirmation from the infrastructure provider, it will notify the device.

[1502] For example, if a user selects "ABC Electric Power" and "XYZ Water" as their electricity and water contract partners, the server will send the user's information to both companies and automatically complete the procedures up to the start of service. Once completed, the user will be notified.

[1503] In this way, users can complete all processes in one go, from viewing the property in the metaverse space to contract procedures and automated infrastructure procedures, significantly reducing the time and effort required for moving.

[1504] The processing flow will be explained below.

[1505] Preview in the Metaverse space

[1506] Step 1:

[1507] The user launches the "Easy Move" application and enters login information.

[1508] Step 2:

[1509] The terminal collects the entered authentication information and sends it to the server.

[1510] Step 3:

[1511] The server verifies the received authentication information and sends the authentication result to the terminal.

[1512] Step 4:

[1513] The device will display the authentication results and, if successful, will display the option to begin browsing the metaverse.

[1514] Step 5:

[1515] The user selects the property they wish to view.

[1516] Step 6:

[1517] The terminal sends the ID of the selected property to the server.

[1518] Step 7:

[1519] The server searches for the property's 3D model and detailed information and generates streaming data.

[1520] Step 8:

[1521] The server transmits the streaming data to the terminal.

[1522] Step 9:

[1523] The device receives the streamed data and displays a 3D model of the property in the virtual space.

[1524] Step 10:

[1525] Users can view properties using a VR headset or compatible display.

[1526] Negotiations and contract procedures handled by generative AI

[1527] Step 1:

[1528] After viewing, users select the option to begin negotiations and contract procedures for properties they like.

[1529] Step 2:

[1530] The terminal transmits the user's selection to the server.

[1531] Step 3:

[1532] The server launches the generative AI model and collects the necessary information (property details, user information, etc.).

[1533] Step 4:

[1534] The generative AI will begin negotiations with the real estate agent and propose the price, contract terms, etc.

[1535] Step 5:

[1536] The generated AI periodically updates the negotiation content and progress to the server.

[1537] Step 6:

[1538] The server notifies the user's terminal of the updated information.

[1539] Step 7:

[1540] The user confirms the negotiation details and sends additional instructions (e.g., price renegotiation) to the server via the terminal.

[1541] Step 8:

[1542] The generation AI will summarize the final negotiation results and generate a final contract to obtain the user's consent.

[1543] Step 9:

[1544] The server sends the final contract to the terminal, and the user digitally signs it.

[1545] Collaboration with infrastructure providers

[1546] Step 1:

[1547] After the user completes the contract procedure, they can check the options for the necessary infrastructure products (electricity, gas, water, etc.).

[1548] Step 2:

[1549] The user selects the infrastructure product provider they need.

[1550] Step 3:

[1551] The device sends the selection to the server.

[1552] Step 4:

[1553] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider.

[1554] Step 5:

[1555] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[1556] Step 6:

[1557] Once the server receives confirmation that the procedure has been completed, it will notify the user's device.

[1558] Step 7:

[1559] The terminal displays a notification to the user that the procedure is complete.

[1560] Example 1

[1561] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1562] Moving procedures today require a wide range of preparations and procedures, placing a significant burden on users' time and effort. Furthermore, property viewings, price negotiations, and infrastructure contract procedures are often carried out as separate processes, resulting in overall inefficiency. For this reason, there is a demand for a system that can perform the entire moving process seamlessly and efficiently.

[1563] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1564] In this invention, the server includes a means for viewing properties in the metaverse space, a means for using generative AI to negotiate and process contracts with real estate agents and public institutions, a means for coordinating with multiple infrastructure providers and automating infrastructure procedures, a means for activating a generative AI model and negotiating real estate prices on behalf of the user, a means for streaming a 3D model and detailed information of the real estate property in real time, and a means for the user to view the property using a virtual reality headset. This allows the user to complete all processes, from viewing the property to contract procedures and automated infrastructure procedures, all in one place in the metaverse space.

[1565] The "metaverse space" is a virtual three-dimensional space constructed using virtual reality technology, where users can view properties through virtual reality headsets or compatible devices.

[1566] "Generative AI" is artificial intelligence that uses natural language processing and machine learning techniques based on large datasets to negotiate with real estate agents and public institutions on behalf of users.

[1567] A "real estate agent" refers to a company or individual who acts as an intermediary in the sale, purchase, or rental of real estate.

[1568] A "public institution" is an organization that provides public services or procedures, such as a local government or government agency.

[1569] An "infrastructure provider" is a company that provides basic infrastructure services necessary for daily life, such as electricity, gas, and water.

[1570] A "viewing" is the act of looking around inside a property before purchasing or renting it.

[1571] A "3D model" is digital data with a three-dimensional shape or structure that is displayed using computer graphics.

[1572] "Streaming transmission" is a technology for transmitting content such as audio, video, and data over a network in real time.

[1573] A "virtual reality headset" is a device worn by a user to visually experience a virtual space.

[1574] A "prompt sentence" is a sentence used to input specific instructions to a generative AI model, allowing the AI ​​to respond appropriately or output based on those instructions.

[1575] "Real-time" refers to processing or communication occurring immediately, without delay.

[1576] This invention is a system that allows users to efficiently carry out procedures related to moving, primarily by allowing them to view properties in the metaverse space, using generative AI to negotiate and process contracts with real estate agents and public institutions, and automating infrastructure procedures through collaboration with infrastructure providers. Below we will explain how to specifically implement this system.

[1577] Preview in the Metaverse space

[1578] The user launches the Easy Move app on their smartphone or PC and logs in. The server compares the received user ID and password with the information in the database and sends the authentication result to the device. If the device confirms successful authentication, it displays an option to start a metaverse tour. When the user selects a desired property from the displayed list of candidate properties, the server retrieves a 3D model and detailed information of the selected property from the database and streams them to the device in real time. The user then uses a virtual reality headset or compatible display to tour the property in a virtual space. For example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model of Apartment A and its detailed information to the device. The user then uses a VR headset to begin the virtual tour while enjoying a realistic visual experience.

[1579] Negotiations and contract procedures handled by generative AI

[1580] After the virtual viewing, the user selects the option to negotiate the price and conditions of the property. The device sends the user's request to start negotiations to the server. The server launches a generative AI model, and the generative AI negotiates directly with the real estate agent or public institution using the specified prompt as input. For example, the prompt could be, "Please negotiate a price reduction of approximately 10% for Apartment A." The generative AI considers an appropriate negotiation strategy and automatically begins negotiations, with progress periodically notified to the device via the server. The server generates a final contract based on the negotiation results provided by the generative AI and digitally signs it. The device then asks the user to confirm the final contract and signature. If the user agrees, the AI ​​digitally signs it.

[1581] Collaboration with infrastructure providers

[1582] After the contract is completed, the terminal displays options for selecting the necessary infrastructure product providers (electricity, gas, water, etc.). The user selects the desired infrastructure provider from the displayed list. The terminal then sends information about the infrastructure provider selected by the user to the server. The server automatically sends the user's information along with the necessary procedures to the selected infrastructure provider, and carries out the procedures to start the infrastructure service. When the server receives an approval notification from the infrastructure provider, it immediately notifies the terminal of the result. For example, if a user selects "ABC Electric Power" and "XYZ Water" as their electricity and water contract partners, the server sends the user's information to both companies and automatically carries out the procedures up to the start of service. Once the procedures are complete, the user is notified.

[1583] This allows users to carry out all the processes required for moving in one place, from viewing properties in the metaverse space to negotiating and contract procedures using generative AI, and even automating infrastructure procedures.

[1584] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1585] System program processing flow

[1586] Preview in the Metaverse space

[1587] Step 1:

[1588] The user launches the Easy Move app on their smartphone or PC and displays the login screen. Specifically, they enter their user ID and password and send the login information from the device.

[1589] Step 2:

[1590] The server compares the received user ID and password with the information in the database and determines whether the authentication was successful. Here, the input is the user's authentication information and the output is the authentication result. If the authentication is successful, the server generates an authentication token and sends it to the terminal.

[1591] Step 3:

[1592] The terminal confirms the successful authentication notification received from the server and displays the option to start browsing the metaverse on the screen. The input is the successful authentication notification from the server, and the output is a user interface that displays the option to start browsing the metaverse.

[1593] Step 4:

[1594] The user selects the desired property from the displayed list of potential properties. The user's selection is the input, and information about the selected property is the output.

[1595] Step 5:

[1596] The server retrieves the 3D model and details of the selected property from the database and streams them to the device in real time. Here, the input is the property ID selected by the user, and the output is a data stream of the 3D model and details of the property.

[1597] Step 6:

[1598] A user uses a virtual reality headset or compatible display to virtually tour a property. Specifically, the user walks around the room, checking the furniture arrangement and room size. The input is a streamed 3D model and detailed information, and the output is the user's visual experience.

[1599] Negotiations and contract procedures handled by generative AI

[1600] Step 1:

[1601] After the virtual viewing, the user selects an option to negotiate the price and terms of the property. The user's selection is the input, and a request to start negotiations is the output.

[1602] Step 2:

[1603] The terminal sends the user's negotiation initiation request to the server, where the input is the user's request and the output is the negotiation request sent to the server.

[1604] Step 3:

[1605] The server launches the generative AI model and sends a prompt as input to the model. The input is a user-provided prompt, and the output is a negotiation strategy generated by the AI. Specifically, the prompt used is "Please negotiate a price reduction of approximately 10% for Apartment A."

[1606] Step 4:

[1607] The generation AI negotiates directly with real estate agents and public institutions, and notifies the terminal of the progress via the server. The input is the negotiation data acquired by the AI, and the output is a progress notification. The generation AI periodically checks the progress and sends the results to the server.

[1608] Step 5:

[1609] The server generates a final contract based on the negotiation results provided by the AI ​​and digitally signs it. Specifically, the contract is created based on the data provided by the AI ​​and signed using digital signature software. The input is the negotiation results, and the output is a signed contract.

[1610] Step 6:

[1611] The terminal asks the user to confirm the final contract and signature. The input is the signed contract, and the output is a confirmation screen displayed in the user interface. If the user agrees, the AI ​​digitally signs it.

[1612] Collaboration with infrastructure providers

[1613] Step 1:

[1614] After the contract is completed, the terminal displays the options to select the necessary infrastructure providers (electricity, gas, water, etc.). The input is a contract completion notification, and the output is a list of infrastructure providers.

[1615] Step 2:

[1616] The user selects the desired infrastructure provider from the displayed list. The input is a list of infrastructure providers, and the output is the user's selection.

[1617] Step 3:

[1618] The terminal transmits information about the infrastructure provider selected by the user to the server, where the input is the user's selection information and the output is the information transmitted to the server.

[1619] Step 4:

[1620] The server automatically sends the necessary procedures along with the user information to the selected infrastructure provider, and carries out the procedures to start the infrastructure service. The input is the user information and the selected infrastructure provider information, and the output is the automated procedure data.

[1621] Step 5:

[1622] When the server receives a confirmation notification from the infrastructure provider, it immediately notifies the terminal of the result. Specifically, the server receives confirmation from each infrastructure company and sends it to the terminal in real time. The input is the confirmation notification from the infrastructure company, and the output is the notification to the terminal.

[1623] The above is a specific explanation of each processing step of the system program.

[1624] (Application example 1)

[1625] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1626] Conventional moving-related procedures require a lot of time and effort, and are complicated because they require separate procedures such as viewing properties, negotiating and signing contracts with real estate agents, and completing procedures with public institutions and infrastructure providers. These processes are also cumbersome for users, reducing overall efficiency. The present invention aims to significantly reduce the time and effort required for moving by integrating and automating these procedures.

[1627] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1628] In this invention, the server includes means for viewing properties in the metaverse space, means for using generative AI to negotiate and process contracts with real estate agents and public institutions, means for coordinating with multiple infrastructure providers and automating infrastructure procedures, means for including a virtual real estate agent application running on a smart device, means for rendering 3D models, means for notifying users of the progress of the negotiation process using a generative AI model, means for generating contracts using digital signatures, and means for automatically setting up infrastructure services. This allows users to complete everything from viewing properties to completing contract procedures and infrastructure procedures all in one place in the metaverse space, thereby streamlining and shortening the time required for moving-related processes.

[1629] The "metaverse space" is a virtual three-dimensional space constructed on the Internet, where users can carry out various activities through avatars.

[1630] "Property viewing" refers to the act of viewing the interior of a real estate property selected by the user, allowing the user to visually experience a realistically recreated property using virtual reality technology.

[1631] "Generative AI" is a type of artificial intelligence model that has the ability to learn patterns from large amounts of data and generate new information.

[1632] "Means of acting on behalf of the user in negotiations and contract procedures" refers to a function in which the generative AI negotiates and processes contracts with real estate agents and public institutions on behalf of the user.

[1633] "Infrastructure providers" refer to companies that provide basic services such as electricity, gas, water, and communications.

[1634] "Means for automating infrastructure procedures" refers to a system function that automatically carries out the necessary contract procedures with the infrastructure provider selected by the user.

[1635] The "Virtual Real Estate Agent Application" is an application that runs on smart devices and allows users to search for, view, negotiate, and sign contracts for real estate properties in a virtual space.

[1636] "Smart devices" refers to portable electronic devices with internet connectivity, such as smartphones, tablets, smart glasses, and head-mounted displays.

[1637] A "3D model" refers to a model of a property that is reproduced in a three-dimensional virtual space, allowing users to visually check the details of the property.

[1638] "Rendering" refers to the process by which a computer generates and displays an image from three-dimensional data.

[1639] "Means of notifying the progress of the negotiation process using a generative AI model" refers to a function in which the generative AI analyzes the progress of the negotiation and notifies the user of the results in real time.

[1640] A "digital signature" is a method for electronically guaranteeing the authenticity of a document and is used in legal documents such as contracts.

[1641] "Automatic setup of infrastructure services" is a process of automatically performing the necessary settings for the infrastructure provision services selected by the user.

[1642] This invention is a system that uses a "virtual real estate agent application" that runs on a smart device to perform property viewings in the metaverse space, negotiate and complete contract procedures with real estate agents using generative AI, and automatically connect with infrastructure providers.

[1643] The following hardware and software are used to implement the present invention.

[1644] Hardware: iPhone, Android smartphone, Oculus Quest 2

[1645] Software: Unity (3D application development), OpenAI GPT-4 (generative AI), AWS RDS (database)

[1646] System program processing

[1647] Property viewing in the Metaverse

[1648] The server sends a 3D model and detailed information of the property selected by the user to the device, where the user can visually check it using a VR headset. Detailed information about each room and facility within the property is also provided at the same time, giving the user the experience of actually visiting the property.

[1649] Generative AI for Negotiation and Contract Procedures

[1650] When a user selects an option to begin negotiations and contract procedures for a property they like, the device sends that information to the server. The server then activates a generative AI model and negotiates with real estate agents and public institutions on the user's behalf. The device is periodically notified of the negotiation content and progress via the server. Once the negotiation is complete and the user agrees, the generative AI generates a final contract and digitally signs it.

[1651] Collaboration with infrastructure providers

[1652] After completing the contract, the user selects the necessary infrastructure provider from the options displayed on the terminal. When that information is sent to the server, the server automatically initiates the service start procedure with the selected company. Once confirmation is received from the infrastructure provider, the server notifies the terminal. This eliminates the need for the user to perform any additional steps for infrastructure procedures.

[1653] Specific examples

[1654] As a concrete example, after logging in, a user can select Apartment A in a major city and view a 3D model and detailed information about the property using a VR headset. The AI ​​then negotiates the price and, with the user's consent, generates and signs a final contract. The AI ​​then automatically processes the contract with the infrastructure provider selected by the user, completing the entire process in one go.

[1655] Prompt Sentence Examples

[1656] "Please negotiate the price with the real estate agent regarding Apartment A in a major city that User ID 12345 is viewing and notify me of the results."

[1657] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1658] Step 1:

[1659] A user logs into the "Virtual Real Estate Agent" application.

[1660] Input: User login information (email address and password)

[1661] Process: The device uses Firebase Authentication to send login information to the server for authentication.

[1662] Output: Sends a successful authentication notification to the device.

[1663] Step 2:

[1664] Upon successful authentication, the device will display an option to begin browsing the metaverse.

[1665] Input: Authentication success notification

[1666] Action: Display the option to start the tour on the terminal screen.

[1667] Output: User's selection to start preview

[1668] Step 3:

[1669] The user selects the property they wish to view.

[1670] Input: Property selection information

[1671] Processing: The terminal sends the ID of the selected property to the server.

[1672] Output: The server provides a 3D model of the property and detailed information.

[1673] Step 4:

[1674] The server streams a 3D model and detailed information of the selected property to the device.

[1675] Input: Property ID

[1676] Processing: The server retrieves the property's 3D model and detailed information from the database (AWS RDS) and streams it to the device.

[1677] Output: The 3D model and detailed information will be displayed on your device.

[1678] Step 5:

[1679] Users can use a VR headset to view the property.

[1680] Input: 3D model and detailed information

[1681] Processing: The device uses Unity to render the 3D model and display it on the VR headset.

[1682] Output: A virtual property tour experience for the user

[1683] Step 6:

[1684] The user selects the option to begin negotiations and contract procedures after viewing.

[1685] Input: User's choice to start negotiation / contract procedure

[1686] Processing: The terminal sends the selection information to the server.

[1687] Output: Server launches generative AI model

[1688] Step 7:

[1689] Generative AI will begin negotiations with real estate agents and public institutions.

[1690] Input: User negotiation information

[1691] Processing: The server uses the OpenAI GPT-4 API to launch the generation AI and automatically generate the negotiation content. The server inputs a prompt and generates the negotiation content.

[1692] Output: The progress and results of the negotiation are stored on the server and periodically sent to the terminal.

[1693] Step 8:

[1694] The server summarizes the negotiation results and notifies the user.

[1695] Input: Negotiation result by GPT-4

[1696] Processing: The server analyzes the negotiation result, notifies the user of the result, and accepts the user's feedback.

[1697] Output: User consent or correction request

[1698] Step 9:

[1699] If the user consents, the generation AI will generate the final contract and digitally sign it.

[1700] Input: User consent

[1701] Processing: The server uses the DocuSign API to generate a final, digitally signed contract.

[1702] Output: A completed, digitally signed contract

[1703] Step 10:

[1704] After the user completes the contract, the system displays options for selecting infrastructure product providers.

[1705] Input: Notice of Contract Completion

[1706] Action: Display infrastructure selection options on the terminal screen.

[1707] Output: User's infrastructure product selection

[1708] Step 11:

[1709] The user selects a company that provides the infrastructure products they need.

[1710] Input: Infrastructure provider selection information

[1711] Processing: The device sends the selection to the server.

[1712] Output: Server starts infrastructure procedures

[1713] Step 12:

[1714] The server automatically completes the service start-up procedures with the infrastructure provider.

[1715] Input: Infrastructure provider selection information

[1716] Processing: The server performs the procedure via the infrastructure provider's API and obtains confirmation that the service has started.

[1717] Output: Send a notification to the terminal that the infrastructure procedure is complete.

[1718] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1719] The present invention is a system that simplifies the user's moving procedure and provides a more personalized experience by combining an emotion engine. Specific embodiments that combine an emotion engine will be described below.

[1720] Preview in the Metaverse space

[1721] 1. The user launches the Easy Move application and enters their login information.

[1722] 2. The server authenticates the user's login information and sends the authentication results to the terminal.

[1723] 3. Upon successful authentication, the device displays the option to begin browsing the metaverse.

[1724] 4. The user selects the property they would like to view.

[1725] 5. The device sends the ID of the selected property to the server.

[1726] 6. The server retrieves the property's 3D model and detailed information and generates streaming data.

[1727] 7. The server sends the streaming data to the device.

[1728] 8. The device receives the streamed data and displays a 3D model of the property in the virtual space.

[1729] 9. Users can tour the property using a VR headset or compatible display.

[1730] 10. The device uses an emotion engine to analyze the user's emotions during the viewing and transmits the results to the server in real time.

[1731] 11. The server accumulates emotional data and understands the user's reactions.

[1732] As a concrete example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset. At the same time, the emotion engine analyzes the user's emotions (for example, surprise or joy) and sends them to the server in real time.

[1733] Negotiations and contract procedures handled by generative AI

[1734] 1. After viewing, the user selects the option to begin negotiations and contract procedures for the property they like.

[1735] 2. The device sends the user's selection to the server.

[1736] 3. The server launches the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).

[1737] 4. The generative AI begins negotiations with the real estate agent and proposes the price, contract terms, etc.

[1738] 5. The generated AI periodically updates the negotiation content and progress to the server.

[1739] 6. The server notifies the user's device of the updated information.

[1740] 7. The user confirms the negotiation details and sends additional instructions (e.g., renegotiating the price) to the server via the terminal.

[1741] 8. The generation AI summarizes the final negotiation results and generates a final contract for the user's consent.

[1742] 9. The server sends the final contract to the terminal, and the user digitally signs it, etc.

[1743] As a concrete example, a user likes "Apartment A" and leaves the price negotiation to the AI. The AI ​​negotiates the price with the real estate agent, updating the negotiation status in real time, along with feedback on the user's emotional reaction. After the negotiation, the content is notified to the user, and if the user agrees, the generation AI generates a final contract and digitally signs it.

[1744] Collaboration with infrastructure providers

[1745] 1. After the user completes the contract procedure, they check the selection options for the necessary infrastructure products (electricity, gas, water, etc.).

[1746] 2. The user selects the infrastructure product provider they need.

[1747] 3. The device sends the selection to the server.

[1748] 4. The server automatically generates and sends a procedure request for starting the service to the selected infrastructure provider.

[1749] 5. The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[1750] 6. Once the server receives confirmation that the procedure has been completed, it notifies the user's device.

[1751] 7. The terminal displays a notification to the user that the procedure is complete.

[1752] As a specific example, if a user selects "electric power company A" and "water company B" as their electricity and water contract partners, the server will send the user's information to both companies, automatically carry out the procedures up to the start of service, and notify the user once completion has been completed.

[1753] Through these processes, users can efficiently complete the complex procedures related to moving all at once, and the emotion engine reflects the user's emotions in real time, allowing for more personalized service.

[1754] The processing flow will be explained below.

[1755] Preview in the Metaverse space

[1756] Step 1:

[1757] The user launches the "Easy Move" application and enters login information.

[1758] Step 2:

[1759] The terminal collects the entered authentication information and sends it to the server.

[1760] Step 3:

[1761] The server verifies the received authentication information and sends the authentication result to the terminal.

[1762] Step 4:

[1763] The device will display the authentication results and, if successful, will display the option to begin browsing the metaverse.

[1764] Step 5:

[1765] The user selects the property they wish to view.

[1766] Step 6:

[1767] The terminal sends the ID of the selected property to the server.

[1768] Step 7:

[1769] The server searches for the property's 3D model and detailed information and generates streaming data.

[1770] Step 8:

[1771] The server transmits the streaming data to the terminal.

[1772] Step 9:

[1773] The device receives the streamed data and displays a 3D model of the property in the virtual space.

[1774] Step 10:

[1775] Users can view properties using a VR headset or compatible display.

[1776] Step 11:

[1777] The device uses an emotion engine to analyze the user's facial expressions and voice during the viewing and transmits the data to the server in real time.

[1778] Step 12:

[1779] The server accumulates emotional data and grasps the user's reactions in real time.

[1780] Negotiations and contract procedures handled by generative AI

[1781] Step 1:

[1782] After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like.

[1783] Step 2:

[1784] The terminal transmits the user's selection to the server.

[1785] Step 3:

[1786] The server launches the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).

[1787] Step 4:

[1788] The generative AI will begin negotiations with the real estate agent and propose the price, contract terms, etc.

[1789] Step 5:

[1790] The generated AI periodically updates the negotiation content and progress to the server.

[1791] Step 6:

[1792] The server notifies the user's terminal of the updated information.

[1793] Step 7:

[1794] The user confirms the negotiation details and sends additional instructions (e.g., price renegotiation) to the server via the terminal.

[1795] Step 8:

[1796] The generation AI will summarize the final negotiation results and generate a final contract to obtain the user's consent.

[1797] Step 9:

[1798] The server sends the final contract to the terminal, and the user digitally signs it.

[1799] Collaboration with infrastructure providers

[1800] Step 1:

[1801] After the user completes the contract procedure, they can check the options for the necessary infrastructure products (electricity, gas, water, etc.).

[1802] Step 2:

[1803] The user selects the infrastructure product provider they need.

[1804] Step 3:

[1805] The device sends the selection to the server.

[1806] Step 4:

[1807] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider.

[1808] Step 5:

[1809] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[1810] Step 6:

[1811] Once the server receives confirmation that the procedure has been completed, it will notify the user's device.

[1812] Step 7:

[1813] The terminal displays a notification to the user that the procedure is complete.

[1814] Example 2

[1815] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1816] Conventional moving procedures require complicated procedures and numerous steps, placing a heavy burden on users. Furthermore, personalized services that take into account the user's feelings are not provided, and the user experience is generally limited.

[1817] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for authenticating a user by having the user launch an application and enter login information; means for the authenticated user to select a property they wish to view and send the ID of the selected property to the server; means for the server to search for a 3D model and detailed information of the property and generate and send streaming data; means for the terminal to receive the streaming data and display the 3D model of the property in a virtual space; means for the terminal to analyze the user's emotions during the viewing using an emotion analysis engine and send the analysis data to the server in real time; means for the server to accumulate emotion data and understand the user's reactions; means for starting negotiations with a real estate agent using a generative AI and updating the server with the negotiation content and progress; means for the generative AI to generate a final contract and for the user to digitally sign it; and means for coordinating with multiple infrastructure providers and automating infrastructure procedures. This allows users to efficiently complete complicated moving procedures and enjoy personalized services based on their emotions.

[1818] "User" refers to an individual or corporation that uses this system to carry out moving procedures.

[1819] "Application" refers to a software program that a user uses to operate through a terminal.

[1820] "Login information" refers to authentication information such as user ID and password that a user enters when accessing a system.

[1821] "Server" refers to a central processing unit that processes data and provides information in response to user requests.

[1822] "Property" refers to the building or home that the user selects as their destination.

[1823] "ID of selected property" refers to an identifier that uniquely identifies the property that the user wishes to view.

[1824] A "3D model" refers to data that reproduces the three-dimensional structure of a property in virtual space.

[1825] "Detailed information" refers to information about the property, such as location, layout, and facilities.

[1826] "Streaming data" refers to data transmitted from a server to a terminal in real time.

[1827] "Terminal" refers to a device operated by a user (e.g., a smartphone, tablet, PC, etc.).

[1828] "Virtual space" refers to a three-dimensional virtual reality environment generated by a computer.

[1829] An "emotion analysis engine" refers to an algorithm or software for analyzing user emotions.

[1830] "Generative AI" refers to an artificial intelligence system that automatically negotiates with real estate agents and generates contracts.

[1831] "Infrastructure provider" refers to a company that provides infrastructure services such as electricity, gas, and water.

[1832] A "digital signature" refers to a means of signing a contract or document electronically.

[1833] The present invention is a system that simplifies the user's moving process and, by combining it with a sentiment analysis engine, provides a more personalized experience.

[1834] First, a user launches the application on their device and enters their login information. This login information is sent to the server, which authenticates it. If authentication is successful, the device displays an option to start viewing properties in the metaverse space. The user selects this option and chooses the property they want.

[1835] The device then sends the ID of the selected property to the server, which then searches for the property's 3D model and detailed information and generates streaming data. This streaming data is then sent from the server to the device, which receives it and displays the property's 3D model in a virtual space. The user can then view the property in detail in the virtual space using a VR headset or compatible display.

[1836] Furthermore, the user's emotions during the viewing are analyzed in real time using an emotion analysis engine installed on the device. This emotion data is sent from the device to a server, which then stores it and can grasp the user's reaction.

[1837] After viewing the property, if the user wishes to begin negotiations or contract procedures for a property they like, they select an option displayed on their device. The device sends this selection to the server, which then activates the generative AI model to collect the necessary information. The generative AI begins negotiations with the real estate agent and updates the server with the progress. The user can review this information on their device and provide additional instructions as needed. The generative AI then summarizes the final negotiation results and generates a final contract, which the user can then digitally sign.

[1838] Once the contract procedures are complete, the user can select a provider of infrastructure products (electricity, gas, water, etc.). This selection is sent from the device to the server, which then automatically initiates the service start procedure with each provider. Once the procedure is complete, the server notifies the user's device, and the device displays a completion message to the user.

[1839] As a specific example, if a user logs in and selects Apartment A in Shibuya Ward, Tokyo, the server sends a 3D model and detailed information about Apartment A to the user's device, and the user begins a virtual tour using a VR headset. At the same time, the emotion analysis engine analyzes the user's emotions (for example, surprise or joy) and sends the information to the server in real time. If the user likes the property and leaves the price negotiations to the generation AI, the generation AI will negotiate the price with the real estate agent, and the user will be notified of the negotiation status via the server. The final contract is then generated and digitally signed. Finally, the user selects an infrastructure provider, and the process to start the service is automatically completed.

[1840] An example of a prompt using a generative AI model might be:

[1841] "Create a program that allows a user to negotiate the price of a property they have selected with a real estate agent, and notifies the user of the progress in real time."

[1842] In this way, the user can efficiently go through the complicated procedures related to moving and can enjoy personalized services based on their emotions.

[1843] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1844] Step 1:

[1845] A user starts an application and enters login information. A user opens an application and enters their user ID and password. This input data is sent from the device to the server.

[1846] Step 2:

[1847] The server authenticates the user's login information and sends the authentication result to the terminal. The server compares the received user ID and password with the database and generates an authentication result (success or failure). The authentication result is sent to the terminal.

[1848] Step 3:

[1849] When authentication is successful, the device displays an option to start browsing the metaverse. The device receives a notification of successful authentication and displays a button to start browsing on the screen. The user selects the option to start browsing.

[1850] Step 4:

[1851] The user selects the property they wish to view. The user selects the property they wish to view from the property list displayed on the screen. This selection information (property ID) is sent from the terminal to the server.

[1852] Step 5:

[1853] The terminal sends the ID of the selected property to the server. The terminal sends the property ID to the server, and the server receives the ID.

[1854] Step 6:

[1855] The server searches for the property's 3D model and detailed information and generates streaming data.The server searches the database based on the received property ID and obtains the property's 3D model and detailed information.The server generates streaming data based on this data.

[1856] Step 7:

[1857] The server transmits the streaming data to the terminal. The server transmits the generated streaming data to the terminal. The terminal receives it.

[1858] Step 8:

[1859] The device receives the streamed data and displays a 3D model of the property in the virtual space. The device processes the received streamed data and displays a 3D model of the property in the virtual space. The user begins viewing the property using a VR headset.

[1860] Step 9:

[1861] The device analyzes the user's emotions during the viewing using an emotion analysis engine and sends the data to the server in real time. The device uses cameras and sensors to capture the user's facial expressions and behavior, which are then analyzed using the emotion analysis engine. This analyzed data is then sent to the server.

[1862] Step 10:

[1863] The server accumulates the emotional data and understands the user's reaction. The server accumulates the received emotional data in a database and analyzes and understands the user's reaction.

[1864] Step 11:

[1865] After viewing the property, the user selects the option to begin negotiations and contract procedures for the property they like. The user selects the option to begin negotiations displayed on the screen. This selection is sent from the terminal to the server.

[1866] Step 12:

[1867] The server runs the generative AI model and collects the necessary information (property details, user information, emotional data, etc.).The server runs the generative AI model and collects property details, user information, and emotional data.

[1868] Step 13:

[1869] The generation AI starts negotiations with the real estate agent and proposes the price and contract terms. The generation AI starts negotiations with the real estate agent on the price and contract terms. The progress of this negotiation is updated to the server.

[1870] Step 14:

[1871] The generation AI periodically updates the negotiation content and progress to the server. The generation AI sends the negotiation progress and new proposals to the server.

[1872] Step 15:

[1873] The server notifies the user's device of the updated information. The server notifies the user's device of the progress status from the generated AI. The user confirms this.

[1874] Step 16:

[1875] The user confirms the negotiation details and sends additional instructions (e.g., renegotiating the price) to the server via the terminal. The user confirms the negotiation details and gives additional instructions as necessary. This instruction information is sent from the terminal to the server.

[1876] Step 17:

[1877] The generation AI summarizes the final negotiation results and generates a final contract to obtain the user's consent.The generation AI generates a final contract based on the final negotiation results and carries out the procedure to obtain the user's consent.

[1878] Step 18:

[1879] The server sends the final contract to the terminal, and the user digitally signs it, etc. The server sends the final contract to the user's terminal, and the user digitally signs it.

[1880] Step 19:

[1881] After the user completes the contract procedure, they can check the selection options for the necessary infrastructure products (electricity, gas, water, etc.). The user can view the selection options for infrastructure products on the screen after the contract is completed.

[1882] Step 20:

[1883] The user selects the infrastructure provider they need. The user selects the infrastructure provider on the screen, and this selection information is sent from the terminal to the server.

[1884] Step 21:

[1885] The terminal sends the selection to the server. The terminal sends the user's selection to the server, which receives it.

[1886] Step 22:

[1887] The server automatically generates and transmits a procedure request for starting the service to the selected infrastructure provider. The server automatically generates and transmits a service start request to the corresponding infrastructure provider.

[1888] Step 23:

[1889] The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure. The server periodically checks for confirmation from the infrastructure provider and the progress of the procedure.

[1890] Step 24:

[1891] Once the server receives confirmation that the procedure has been completed, it notifies the user's device. The server receives a notification of completion of the procedure from the infrastructure provider and notifies the user's device.

[1892] Step 25:

[1893] The terminal displays a notification to the user that the procedure has been completed. The terminal receives the notification and displays a completion message on the screen.

[1894] (Application example 2)

[1895] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1896] Today, when users use food delivery services, the process of selecting food and ordering is complicated, resulting in an inconsistent user experience. Furthermore, personalized suggestions based on user preferences and emotions are not provided, leading to low satisfaction. Furthermore, the infrastructure procedures after ordering are performed manually, which is time-consuming and labor-intensive.

[1897] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1898] In this invention, the server includes a means for displaying a 3D model of the food or dish selected by the user in the metaverse space, a means for acquiring the user's emotional data using an emotion analysis engine and having a generative AI model suggest dishes and provide special offers, a means for using the generative AI to negotiate with food service providers and handle ordering procedures on behalf of the user, and a means for coordinating with multiple infrastructure providers and automating infrastructure procedures. This allows the user to check the dishes in detail in the virtual space, receive personalized suggestions and special offers based on their emotions, and automate ordering and infrastructure procedures, improving overall convenience and satisfaction.

[1899] "User" means an individual or organization that orders food or meals using the food delivery service.

[1900] "Food or dishes" includes dishes and ingredients ordered and delivered through food delivery services.

[1901] "3D Model" means a three-dimensional digital representation of a food or dish that is visually displayed in the Metaverse space.

[1902] The "metaverse space" is a digital world in which users participate using virtual reality (VR) technology.

[1903] An "emotion analysis engine" is a technology that recognizes and analyzes emotions from a user's facial expressions, voice, gestures, etc.

[1904] A "generative AI model" refers to an artificial intelligence algorithm that generates new dish suggestions and special offers based on user emotional data, etc.

[1905] "Food and beverage providers" are companies and stores that provide food and meals through food delivery services.

[1906] "Negotiation and ordering process" refers to the process of negotiating prices and terms with a food and beverage provider on behalf of the user and finalizing the order.

[1907] "Infrastructure providers" are companies that provide necessary supplies and services related to food delivery services, such as logistics, containers, and cutlery.

[1908] "Means for automating infrastructure procedures" refers to technologies and processes for automating communication and procedures with infrastructure providers.

[1909] This invention is a system that displays 3D models in the metaverse space, analyzes emotions, and provides suggestions and special offers using generative AI models when a user uses a food delivery service, as well as automatically connecting with infrastructure providers. Specific embodiments are described below.

[1910] 1. User registration and first login

[1911] The server receives account information from the user and authenticates the login information. The software used is the authentication API and requests library. After authentication, the server sends the authentication results to the terminal, and the user logs in to the "Smart Food Delivery" application.

[1912] 2. Food selection and 3D model display

[1913] Users select the food or dish they want to order from categories within the app. The device sends the selected item information to the server, which then generates a corresponding 3D model and displays it visually in the Metaverse space. The hardware used is a VR headset and a compatible display, and the software uses the VRHeadsetAPI.

[1914] 3. Suggestions based on emotion analysis and generative AI

[1915] When a user checks a 3D model of a dish, the emotion analysis engine acquires and analyzes emotional data from the user's facial expressions, voice, gestures, etc. The analysis results are sent to the server in real time. The software used is EmotionEngineAPI. Based on this data, the server uses a generative AI model to make personalized dish suggestions and offer special offers. The software used is AIModelAPI.

[1916] 4. Ordering process and negotiations with food and beverage providers

[1917] The user selects their favorite dish, and the generation AI automatically processes the order. The generation AI also negotiates with the food and beverage provider to confirm the order at an appropriate price and terms. In addition, the server notifies the user's device of the order progress in real time. The software used is the requests library.

[1918] 5. Infrastructure procedures and automation integration

[1919] After the order process is completed, the server automatically generates and sends a request to the infrastructure provider. The server fully automates communication and procedures, and periodically checks the progress. Once the process is complete, a notification is sent to the user's device. The software used is the requests library and infrastructure API.

[1920] Specific examples

[1921] For example, when a user logs into the "Smart Food Delivery" app and selects a specific food item, the server will deliver a 3D model of that food to the user's VR headset. At the same time, the user's emotions are analyzed, and the generative AI model will suggest new dishes or specific special offers. When the user orders the suggested dish, the generative AI will automatically complete the procedure, and related infrastructure procedures will also be handled automatically.

[1922] Example prompt sentence:

[1923] "Users can log in and see 3D models of food in the Metaverse."

[1924] "When a user selects a dish, analyze the user's emotions and use generative AI to suggest new dishes."

[1925] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1926] Step 1:

[1927] The server receives account information from the user and authenticates the login information. It receives the user's account information (username, password) as input, compares it with the database to generate an authentication result, and sends it to the terminal. Specifically, the server uses the requests library to communicate with the authentication API.

[1928] Step 2:

[1929] The terminal receives the authentication result and allows the user to log in. Based on the authentication result received from the server as input, the terminal displays the success or failure of the login in the user interface, in particular, displaying a success message or an error message.

[1930] Step 3:

[1931] The user selects the food or dish they want to order from the categories in the app. As input, the device receives the selection from the list of dishes provided in the user interface. The device sends the ID of the selected item to the server. Specifically, the device converts the selection into JSON format and sends a POST request to the server.

[1932] Step 4:

[1933] The server generates a corresponding 3D model based on the selected item information and sends it to the device. It receives the ID of the food or dish selected by the user as input and retrieves the 3D model data corresponding to that ID from the database. It then sends the 3D model data in JSON format to the device. Specifically, the server uses the VRHeadsetAPI to generate the 3D model data.

[1934] Step 5:

[1935] The device visually displays the received 3D model data in the Metaverse space. It receives 3D model data from the server as input and sends it to a VR headset or compatible display. Specifically, the device renders the 3D model via the VRHeadsetAPI.

[1936] Step 6:

[1937] When a user checks a 3D model of a dish, the server's emotion analysis engine acquires and analyzes emotional data from the user's facial expressions, voice, gestures, etc. The server receives the user's emotional data as input and performs data analysis using the emotion analysis engine. The analysis results are then sent to the server. Specifically, the server analyzes the data using the EmotionEngineAPI.

[1938] Step 7:

[1939] The generative AI model generates personalized food suggestions and special offers based on the analysis results. It receives the sentiment analysis results as input and uses the generative AI model to generate new suggestions. It notifies the user of the suggested dishes and special offers as output. Specifically, the server uses the AIModelAPI to generate suggestions and send them to the device.

[1940] Step 8:

[1941] The user selects a suggested dish, and the generation AI automatically processes the order on their behalf. As input, it receives the user's selection information and emotional data, and starts the negotiation process with the food service provider. As output, it generates an order confirmation notification and notifies the user. Specifically, the server automatically negotiates with the food service provider.

[1942] Step 9:

[1943] The server generates and sends a request to the infrastructure provider to fully automate communications and procedures. It receives order completion information and infrastructure request information as input and sends them to the infrastructure provider. It periodically checks the progress of infrastructure provision and notifies the user once the procedure is complete. Specifically, the server uses the infrastructure API to manage the automation process.

[1944] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1945] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1946] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1947] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1948] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1949] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1950] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1951] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1952] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1953] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1954] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1955] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1956] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1957] 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.

[1958] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1959] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1960] The hardware resource that executes the specific processing may be configured wit...

Claims

1. A means to view properties in the metaverse space, A means of using generative AI to handle negotiations and contract procedures with real estate agents and public institutions, A system that includes means to automate infrastructure procedures by collaborating with multiple infrastructure providers.

2. The system of claim 1 , further comprising means for providing a 3D model and detailed information of a property selected by a user.

3. The system according to claim 1 , further comprising means for allowing the user to select a company that provides the necessary infrastructure products after the contract procedure.

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