system

Abstract

We provide the system. [Solution] A means of providing an interface for users to input their desired conditions, A means of using a generation model to generate the optimal list of items based on the aforementioned desired conditions, A means for presenting visual information in a virtual reality space based on the aforementioned list of items, A method using an artificial intelligence agent to respond to user inquiries in real time, A means for comparing and analyzing multiple items, A means to support contract procedures and loan simulations, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional real estate selection, physical property visits are essential, which is inappropriate for people in remote areas or with busy schedules, and it takes a lot of time and effort. Also, it is difficult to efficiently obtain detailed property information and surrounding environment information and compare multiple properties, making it difficult to make a decision based on sufficient information. Furthermore, the understanding and procedures of contract procedures and financing options are complex, which has been a factor hindering the decision-making of purchasing / leasing.

Means for Solving the Problems

[0005] This invention provides a system that generates an optimal list of items using a generative model based on the user's input of desired conditions into an interface. This system can present visual information of items in a virtual reality space, allowing the user to select items. Furthermore, an artificial intelligence agent can respond to user inquiries in real time and support comparative analysis of multiple items. This system supports the entire transaction process, including contract procedures and loan simulations, enabling efficient item selection.

[0006] A "user" is an entity that uses the system to input desired conditions and select items.

[0007] "Desired conditions" refer to specific requirements for items, such as budget, location, floor plan, and surrounding environment, entered by the user.

[0008] An "interface" is a means by which a user interacts with a system to input their desired conditions.

[0009] The "item list" is a list of candidate items created by the generative model based on the user's desired conditions.

[0010] A "generative model" is a computational method or algorithm used to create the optimal list of items based on the user's desired conditions.

[0011] A "virtual reality space" is an environment in which users can virtually experience objects and see visual information presented through digital technology.

[0012] "Visual information" refers to video and image data used to present the appearance and characteristics of an item to the user.

[0013] An "artificial intelligence agent" is a program or system that responds to user inquiries in real time.

[0014] "Comparative analysis of multiple items" refers to the process of comparing information on multiple items and explaining their characteristics and differences to users.

[0015] "Contract procedures" include the legal procedures for concluding a transaction for the item selected by the user.

[0016] "Financing simulation" is a calculation process for considering the conditions and possibilities of financing when the user purchases an item.

Brief Description of Drawings

[0017] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Mode for Carrying Out the Invention

[0018] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0019] First, the language used in the following description will be explained.

[0020] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0021] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0022] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0023] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0025] [First Embodiment]

[0026] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0027] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0028] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0030] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0031] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0033] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0035] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0037] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0038] The system of this invention is implemented by modules consisting of a user, a terminal, and a server. The details are described below.

[0039] First, the user uses a terminal to enter their desired criteria for real estate properties. This initiates a search based on the user's needs. The terminal sends this input information to a server, which requests the generation of a property list optimized for the user's preferences.

[0040] Based on the received request criteria, the server uses a generative model to create a list of suitable properties from the database. The generative model combines multiple algorithms to select the optimal property. The server then returns the created property list to the terminal.

[0041] The terminal renders visual information in a virtual reality space based on the received property information and presents it to the user. Using VR technology, users can view properties without actually visiting them in person. This allows users to efficiently select properties.

[0042] Furthermore, if users have questions about the property or surrounding environment during the tour, they can make inquiries to the server via their device. An artificial intelligence agent on the server will answer these inquiries in real time and return information to resolve the user's questions.

[0043] Furthermore, during the contract procedures and loan simulation stages, the server provides the necessary information and support to help users proceed with the contract smoothly. In this way, users can efficiently and with reduced complexity when buying or renting real estate.

[0044] As a concrete example, a user enters their desired conditions, such as "a 2LDK apartment in Tokyo with a budget of under 30 million yen, within a 10-minute walk from the station, and with a supermarket nearby." This information is sent to the server, and a generative model generates a list of suitable properties. The user can then select a property they are interested in and view its interior through a VR tour, checking details such as the size of each room and the amount of sunlight it receives. If the user then asks the server, "How old is this property?", the artificial intelligence agent immediately replies, "It's 5 years old," and provides additional information.

[0045] Thus, the system of the present invention enables users to efficiently and effectively select properties and proceed with related procedures.

[0046] The following describes the processing flow.

[0047] Step 1:

[0048] The user enters the desired item specifications through the terminal interface. This includes the desired budget, location, size, and surrounding environment.

[0049] Step 2:

[0050] The terminal sends the entered desired conditions to the server. The data is transferred using a secure protocol.

[0051] Step 3:

[0052] The server receives the desired conditions and creates a database query using a generative model. It queries the database to generate a list of items that match the requested conditions.

[0053] Step 4:

[0054] The server further scrutinizes the list of items it has retrieved to select the most suitable candidates. Selection criteria may include not only the user's preferences but also other relevant data and trend information.

[0055] Step 5:

[0056] The server sends an optimized list of items to the terminal. This allows the user to receive information based on their selections.

[0057] Step 6:

[0058] Based on the item information received by the device, a VR space is generated and visualization begins. The user is then presented with details of the selected item in VR format.

[0059] Step 7:

[0060] Users can view items in a VR space and input specific questions or concerns into their device.

[0061] Step 8:

[0062] The device sends the user's question to the server. The question may be in text or audio format.

[0063] Step 9:

[0064] The server analyzes the question and uses an artificial intelligence agent to generate an answer in real time.

[0065] Step 10:

[0066] The server sends the generated answer to the terminal. This allows the user to resolve their questions and obtain information to support their decision-making.

[0067] Step 11:

[0068] When a user wants to proceed with a contract for an item they like, they notify the server of their intention via their device.

[0069] Step 12:

[0070] The server provides functions to support contract procedures and loan simulations. It sends necessary information and instructions to the terminal, supporting the user in smoothly progressing through the process.

[0071] (Example 1)

[0072] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0073] In selecting goods, it is essential to enable users to efficiently choose items that meet their desired conditions and to provide consistent support through to the contract procedures after selection. However, conventional systems have the problem of fragmented information provision and procedural support, which is time-consuming and troublesome for users.

[0074] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0075] In this invention, the server includes means for providing an interface via an information terminal for the user to input desired conditions, means for using an information processing model to generate a list of items based on the desired conditions, and means for presenting visual information in a virtual environment based on the list of items. This allows the user to efficiently select items that meet their desired conditions and to check the details through the virtual environment.

[0076] An "information terminal" refers to a computer device used by a user to input or receive information.

[0077] An "interface" refers to the screen configuration and operating methods that enable communication between the user and the information system.

[0078] An "information processing model" refers to a combination of algorithms that analyze data based on specific conditions and make decisions based on the results.

[0079] A "virtual environment" refers to a technology that provides a visual experience within a digital space that does not exist in reality.

[0080] "Visual information" refers to data presented to the user as images or videos.

[0081] An "algorithm" refers to a set of explicit steps or formulas used to solve a problem.

[0082] "Information sources" refer to various databases and datasets that provide specific data or knowledge.

[0083] "Commercial transactions" refer to a series of operations and procedures related to sales contracts and service contracts.

[0084] This invention relates to a system that supports the selection and procedures of real estate properties through the interaction of an information terminal, a server, and a user.

[0085] First, the user uses an information terminal to input their desired real estate property criteria. This terminal can be a personal computer, smartphone, or tablet, and the user interface can utilize text input or pull-down menus. For example, users can input specific conditions such as "budget under 30 million yen, 2LDK apartment in Tokyo, within a 10-minute walk from the station, with a supermarket nearby."

[0086] Next, the information terminal sends the entered desired conditions to the server. This server extracts properties that meet the desired conditions from its database based on a generated AI model and generates a list of selected properties. This process utilizes natural language processing technology and machine learning algorithms to achieve highly accurate property matching.

[0087] The generated property list is sent to an information terminal and presented to the user in a virtual environment. This virtual environment is realized using virtual reality technology, allowing the user to visually experience the property as if they were actually visiting it.

[0088] Furthermore, if a user needs additional information about a property within the virtual environment, they can send a question to the server via their information terminal. The server uses an algorithm to retrieve the necessary data from multiple sources and provides the user with an immediate answer. For example, if a user enters the question, "How old is this property?", the server will respond, "It is 5 years old."

[0089] Finally, when users select a property and proceed with contract procedures and loan simulations, they can receive necessary information and support from the server via their information terminal. This allows users to smoothly conclude contracts and proceed with the purchase or rental of real estate.

[0090] An example of a prompt message could be a text-based input such as, "Please recommend a 2LDK apartment in Tokyo that costs under 30 million yen."

[0091] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0092] Step 1:

[0093] Users input their desired real estate property criteria using an information terminal. Specifically, they fill in conditions such as "budget under 30 million yen" and "2LDK apartment in Tokyo" in an input form displayed on the information terminal screen. This input is then sent to the server as text data via the information terminal.

[0094] Step 2:

[0095] The terminal sends the user's desired conditions to the server. The terminal sends the entered text data as an HTTP request to the server's API endpoint. Through this operation, the server receives the user's desired conditions.

[0096] Step 3:

[0097] The server searches its database for matching properties based on the received desired conditions. Here, a generative AI model is used to analyze the input data and generate a list of properties that meet the criteria. This process employs natural language processing techniques to understand the input prompts and perform data filtering accordingly.

[0098] Step 4:

[0099] The server returns the generated property list to the terminal. The generated list is structured in a data format such as JSON and returned to the terminal. This output data includes detailed information such as property name, address, and price.

[0100] Step 5:

[0101] The terminal renders visual information in a virtual environment based on property information received from the server. Specifically, it uses VR technology to generate 3D images of the property's interior and presents them to the user. This process allows the user to view details without actually visiting the property.

[0102] Step 6:

[0103] If a user has a question about a property, they send an inquiry to the server via their device. The user enters their specific question using the input field on the device, and that data is sent to the server. For example, a user could ask, "How old is this property?"

[0104] Step 7:

[0105] The server uses an algorithm to instantly generate answers to user questions. To do this, the server retrieves the necessary data from relevant sources and generates the answer. The retrieved data is then sent back to the terminal. For example, an answer such as "It's 5 years old" might be returned.

[0106] Step 8:

[0107] After the user selects a property, the terminal receives support information for contract procedures and financial planning from the server. The server generates the necessary documents for the contract and simulation results for the financial plan, and sends them to the terminal to support the user.

[0108] (Application Example 1)

[0109] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0110] Modern consumers want to choose the best product from a variety of options when purchasing goods, but their selection process is limited by physical travel and time constraints. Furthermore, while they desire immediate access to detailed product information, obtaining this information takes time, delaying their purchase decision. This invention solves these problems, enabling consumers to efficiently and effectively select products and proceed with the purchase process quickly.

[0111] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0112] In this invention, the server includes means for providing an input device for the user to input desired attributes, means for using a data processing device for generating an optimal product list based on the desired attributes, and means for using a display device for presenting visual information in a virtual reality space based on the product list. This enables the user to quickly and intuitively select the optimal product, and to expedite information acquisition and support purchase decision-making while confirming details through virtual reality.

[0113] An "input device" is a device that provides an interface for users to input information to specify the products and attributes they desire.

[0114] A "data processing device" is a device that generates the optimal product list based on the desired attributes entered, and is a processing device that performs complex calculations and analyses.

[0115] A "display device" is a device that visually presents a generated list of products to the user as a virtual reality space.

[0116] An "intelligent agent" is software or a system that has the ability to instantly generate responses to user questions, and uses artificial intelligence technology to acquire information and respond.

[0117] A "support device" is a device that assists with simulations of transaction procedures and fund management, playing a supplementary role in enabling users to smoothly proceed with contracts and commercial transactions.

[0118] "Information sources" refer to multiple databases and online resources from which an intelligent agent obtains the information necessary to generate an answer.

[0119] "Commercial transaction" refers to the act of determining the terms and conditions of a transaction and the entire contractual process for the goods selected by the user.

[0120] The system necessary to implement this invention mainly consists of a server, a terminal, and a user. The terminal provides an interface for the user to input the attributes of the products they wish to purchase. When the user inputs information into the terminal, that data is transmitted to the server via the network. The server uses a generation AI model based on the received attribute information and utilizes a data processing device to generate an optimal list of products.

[0121] The generated product list is sent from the server to the terminal, which then displays visual information in a virtual reality space based on this list. For example, the user can view selected products from a 360-degree perspective. Software such as Unity could be used to generate the virtual reality environment.

[0122] Furthermore, if a user has questions about product details, those questions are sent to the server via the device. The server has the ability to immediately answer these questions through an intelligent agent. The intelligent agent uses technologies such as GOOGLE TENSOR®, FLOW®, and OpenAI® to retrieve data from multiple sources and generate answers in natural language.

[0123] The support device assists users in their purchasing activities through transaction procedures and financial management simulations. For example, it can simulate the price and payment plan of the products selected by the user, and present economical options for purchasing.

[0124] For example, if a user requests a "blue jacket," the server generates a list of products that meet that criteria and sends it to the user's device. The user can then virtually try on the jackets and check the material and dimensions. If the user sends a prompt such as, "What material is this jacket made of?", the intelligent agent will respond, "This jacket is 100% cotton."

[0125] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0126] Step 1:

[0127] The user uses a terminal to input attribute information for the desired product. This input includes product category, color, size, price range, etc. The terminal transmits this information to the server via the network. The entered data is processed by the server as basic data for optimal product search.

[0128] Step 2:

[0129] Based on the received attribute information, the server uses a generative AI model to extract the most suitable product list from the database. This process utilizes machine learning algorithms to analyze the received input data and select appropriate products from the database. The server then returns the resulting product list to the terminal.

[0130] Step 3:

[0131] The terminal uses software such as Unity to visualize products in a virtual reality space based on a product list received from the server. Here, users can view a 360-degree view of the products within the VR environment and examine their details. Furthermore, they can compare and analyze products based on the visualized information.

[0132] Step 4:

[0133] If a user has additional questions about product details or attributes, they send a prompt message to the server via their device. The server uses an intelligent agent to retrieve relevant data from multiple sources and generate an appropriate answer based on that information. The answer is then quickly returned to the user's device.

[0134] Step 5:

[0135] When a user expresses interest in purchasing a product and requires a loan simulation, the system provides support through a dedicated device. The server simulates information regarding product prices and payment plans, presenting the user with the most suitable options. These options help the user navigate the purchase process smoothly.

[0136] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0137] This invention combines an emotion engine with a system that allows users to input their desired conditions and presents appropriate items based on a generative model. Specific embodiments are described below.

[0138] The user enters their desired conditions through the device. This interface incorporates an emotion engine that recognizes the user's emotional state and adapts the displayed content accordingly. As the user enters their conditions, the device analyzes the user's emotional state using voice recognition and camera data.

[0139] The server receives the user's preferences and emotional state, and uses a generative model to generate a list of appropriate items. The emotional engine's information influences the item selection process, adjusting the suggestions according to the user's preferences and mood at the time.

[0140] The generated item list is sent to the terminal and presented to the user as visual information in a virtual reality space. This allows the user to realistically experience the most suitable items according to their emotions.

[0141] Furthermore, if a user asks a question during the tour, the device queries the server, and an artificial intelligence agent generates a response in real time. Based on feedback from the emotion engine, the way the response is given and the way information is presented are individually adjusted.

[0142] For example, if a user enters desired conditions such as "budget under 30 million yen, close to the station, good sunlight," and shows a slightly tired expression, the emotional engine will prioritize suggesting properties with a relaxing living environment. The user can then view these properties through a VR tour and receive responses that prioritize a relaxing environment.

[0143] For the items ultimately selected by the user, the server assists with contract procedures and loan simulations. It is also possible to utilize an emotion engine to adjust explanations of contract terms and procedures to match the user's level of understanding. Thus, this invention realizes efficient item provision and transaction support that takes user emotions into consideration.

[0144] The following describes the processing flow.

[0145] Step 1:

[0146] The user enters their desired property criteria through the terminal's interface. These criteria include budget, location, floor plan, and surrounding environment. While the user is entering their information, the terminal uses its built-in camera and microphone to analyze the user's facial expressions and voice tone using an emotion engine.

[0147] Step 2:

[0148] The device sends the user's desired conditions and emotional state information analyzed by the emotion engine to the server. This transmission is performed using a secure communication protocol.

[0149] Step 3:

[0150] The server receives the user's desired conditions and emotional information, and uses a generative model to create a list of appropriate items based on this information. The generative model takes the user's emotional state into consideration and selects items that are appropriate to the user's psychological state.

[0151] Step 4:

[0152] The server generates an item list and sends it to the terminal. The terminal then uses this list to prepare a virtual reality space, renders the visual information, and presents it to the user.

[0153] Step 5:

[0154] Users view objects in a virtual reality space and input specific questions and inquiries into the terminal's interface. The user's input is continuously sent to an emotion engine for further sentiment analysis.

[0155] Step 6:

[0156] The device sends a question from the user to the server. The server uses an artificial intelligence agent to generate an answer that takes the user's emotional state into account.

[0157] Step 7:

[0158] The server generates a response, which is sent to the terminal, and the terminal displays it to the user. Communication is tailored to the user's emotional state, and information is provided at the appropriate time.

[0159] Step 8:

[0160] If a user decides to proceed with the contract process for the selected item, they will notify the server of their decision via their device.

[0161] Step 9:

[0162] The server provides features to assist with contract procedures and loan simulations. Furthermore, based on feedback from an emotion engine, it adjusts the contract explanation to match the user's level of understanding. This allows users to complete contract procedures without stress.

[0163] (Example 2)

[0164] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0165] Traditional product presentation systems present products based on fixed conditions without considering the user's emotional state or temporary mood, making it highly likely that users would miss truly desirable options. Furthermore, contract procedures and information presentation were often uniform, leading to a lack of user understanding and acceptance. This resulted in a diminished user experience and limited the system's usefulness.

[0166] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0167] In this invention, the server includes means for using a generative model that presents appropriate items according to the user's desired conditions, means for using an emotion engine that analyzes the emotional state and adjusts the selection of items, and means for presenting items as visual information in a virtual reality space. This enables the efficient provision of items that are best suited to the user's emotions and desires, and allows for contract procedures and information provision that are tailored to individual needs.

[0168] A "terminal" is a communication device used by a user to input information or receive visual feedback.

[0169] "Desired conditions" are items that indicate the characteristics and standards that the user desires for a particular item.

[0170] An "emotion engine" is an analysis system that analyzes a user's voice and facial expressions to understand their emotional state.

[0171] A "generative model" is a computational algorithm used to generate the optimal choices or lists based on given input data.

[0172] "Virtual reality space" is a technology that allows users to experience a virtually constructed three-dimensional environment.

[0173] An "artificial intelligence agent" is a program that can autonomously generate responses to user inquiries.

[0174] A "data storage device" is a device or system that stores information for a long period of time and allows it to be retrieved as needed.

[0175] "Contract procedures" refer to the process by which users finalize the necessary agreements regarding the purchase or use of goods and formalize them as official procedures.

[0176] A "loan simulation" is a calculation procedure used to predict how a financial contract or payment plan will proceed based on the user's circumstances.

[0177] This invention is a system that provides goods tailored to the individual needs of users. First, the user inputs their desired conditions using a terminal. The terminal is equipped with voice recognition and a camera, and analyzes the user's voice and facial expressions to infer their emotional state. An emotion engine is used for this analysis.

[0178] The terminal analyzes the desired conditions and emotional state data and sends it to the server. The server uses a generative AI model based on this data to generate a list of appropriate items. In this process, the generative model utilizes prompts to select the items that best match the input conditions and emotional state. A concrete example of a prompt might be input such as, "Budget under 30 million yen, near the station, good sunlight, feeling a little tired."

[0179] The generated item list is sent from the server to the terminal, which then presents it to the user as visual information in a virtual reality space. The user can experience this information through a VR device. Furthermore, if the user has questions during the item selection process, the terminal sends those questions to the server in real time. The server uses an artificial intelligence agent to answer the questions and make adjustments tailored to the user.

[0180] Furthermore, for the items ultimately selected by the user, the server assists with contract procedures and loan simulations. An emotion engine adjusts the explanation of contract terms and procedures according to the user's individual emotions and level of understanding.

[0181] This invention is a system that effectively integrates the user's wishes and feelings, provides the best possible goods, and supports smooth contract procedures.

[0182] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0183] Step 1:

[0184] The user inputs their desired conditions using the device. The device receives these conditions via voice input or touchscreen, while simultaneously capturing the user's facial expressions and voice tone using its built-in camera and microphone. An emotion engine analyzes this data to determine the user's emotional state. The device acquires desired conditions and emotion indicators as input, and generates analyzed emotional state data as output.

[0185] Step 2:

[0186] The terminal analyzes the desired conditions and emotional state data, which is then transmitted to the server via the network. The server receives this data and activates a generative AI model. Here, the desired conditions and emotional state are input to the generative model as prompts, and based on this, a list of items suitable for the user is generated. The input is the emotional state and desired conditions, and the output is the list of items.

[0187] Step 3:

[0188] The server sends the generated list of items to the terminal. The terminal, using a virtual reality-enabled device, presents these items to the user as a visual virtual reality experience. The user then actually sees and selects the items within the VR environment. In this step, the input is the list of items, and the output is the visual information within the VR environment.

[0189] Step 4:

[0190] When a user asks a question while selecting an item, the terminal queries the server in real time. The server uses an artificial intelligence agent to generate the best possible answer based on the user's question and emotional state, and sends it to the terminal. The input is the user's question and emotional state, and the output is the adjusted answer.

[0191] Step 5:

[0192] For the items ultimately selected by the user, the server executes contract procedures and loan simulations. This process utilizes an emotion engine to adjust contract terms based on the user's level of understanding. Inputs are the selected items and the user's emotion data, while output are the adjusted contract terms and loan plan.

[0193] (Application Example 2)

[0194] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0195] In today's world, users are required to select the appropriate goods from a multitude of options, but there is a challenge in receiving optimal suggestions based not only on their desired conditions but also on their emotional state. Furthermore, it is difficult to make appropriate selections without actually inspecting the suggested goods. In addition, there is a problem in that the contract process and loan simulations require adaptation to the individual user's level of understanding and emotional state, but such adaptation is often insufficient.

[0196] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0197] In this invention, the server includes means for providing an interface for the user to input desired conditions and emotional states, means for using a generative model to generate an optimal list of items based on the desired conditions and emotional states, and means for presenting visual information in a virtual reality space based on the list of items, allowing the user to experience items that correspond to their emotions. This makes it possible to suggest items optimized for the user's individual desired conditions and emotions. Furthermore, by analyzing the user's emotional state through an emotion engine and providing appropriate content, a more satisfying selection and an effective contract process can be achieved.

[0198] An "interface" is a window through which users input their desired conditions and emotional states, and is a component of a system that combines ease of use and intuitiveness.

[0199] A "generative model" is an algorithm or program that generates an optimal list of items based on the user's desired conditions and emotional state, and is a means of performing data processing and inference.

[0200] A "virtual reality space" is a virtual environment that users can experience as visual information, and it is a technology that provides a similar sense of space to a physical space.

[0201] An "artificial intelligence agent" is a program or system that responds to user inquiries in real time and adjusts its responses according to the user's emotional state.

[0202] An "emotion engine" is a technology that analyzes a user's emotional state and adjusts the suggested products accordingly. It is a system equipped with emotion recognition and response generation capabilities.

[0203] Comparative analysis is a method of evaluating multiple items and conducting analysis to make the optimal selection; it involves data analysis and processing based on evaluation criteria.

[0204] "Contract procedures" refer to the process of formalizing arrangements after selecting goods, and include tasks such as confirming agreed-upon terms and adjusting conditions.

[0205] "Loan simulation" is a tool that allows users to simulate the funds needed to purchase goods, and it is a function that performs financial calculations and scenario analysis.

[0206] The system for realizing this invention consists of collaboration between a user, a terminal, and a server. The user uses a terminal such as a smartphone or tablet to input desired conditions and emotional states into the interface. The terminal analyzes the user's emotions using speech recognition and camera data and transmits this information to the server. Specifically, emotion recognition libraries such as Microsoft® Azure® Face API are used for emotion analysis.

[0207] On the server, a generative AI model is used to generate a list of optimal items based on the user's preferences and emotional state. The generative model utilizes natural language processing engines such as OpenAI GPT, enabling highly accurate recommendations. The generated list of items is sent to the terminal and presented to the user as visual information in a virtual reality space. Software such as Unity and Google® VR SDK are used for the VR experience, providing the user with a realistic and immersive experience.

[0208] Furthermore, the server uses an artificial intelligence agent to respond to user inquiries in real time. Since the response is adjusted based on the user's emotional state, it is possible to achieve individually customized interactions. Additionally, by using an emotion engine, the system dynamically adjusts the suggested items according to the user's emotional state.

[0209] For example, if a user enters "apartment within a 5-minute walk from the station, pet-friendly" as their desired conditions and appears somewhat tired, the server will prioritize suggesting properties with relaxing terraces. The user can explore the interior of the property through a VR view and ask the chatbot, "What are the nearby pet facilities?", and facility information will be provided in a tone that takes emotional comfort into consideration. In this way, users can select the most suitable goods and services according to their emotional state.

[0210] An example of a prompt message would be: "Based on the user's specified conditions and emotional state, generate a list of the best properties and provide a VR view. Also, configure the chatbot to provide relaxing answers to questions."

[0211] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0212] Step 1:

[0213] The user inputs their desired conditions and emotional state into the interface using their device. During this process, voice input and camera data are used to analyze the user's facial expressions and tone of voice, extracting their emotional state. Input data includes desired conditions, voice data, and facial image data. This data is analyzed and organized to represent the user's current emotional state.

[0214] Step 2:

[0215] The terminal transmits the analyzed emotional state and desired conditions to the server. Based on the received data, the server uses a generative AI model to generate a list of appropriate items. In this process, the input emotional state and conditions are provided to the generative AI model as prompts, and the model creates the item list. The output is a list of items best suited to the user.

[0216] Step 3:

[0217] The server sends a list of generated items to the terminal. The terminal displays the list of items as visual information in a virtual reality space. Using Unity or the Google VR SDK, the system is set up so that the user can experience the visual information in an immersive way. As output, environment data for the VR experience is provided.

[0218] Step 4:

[0219] As the user experiences a VR browsing of items and enters a question, the device sends that question to the server. The server uses an artificial intelligence agent to generate a real-time response to the question. During this process, individual adjustments are made to reflect the user's emotional state, and the answer is generated as a response. The output data is a personalized response.

[0220] Step 5:

[0221] When a user selects an item, that information is sent to the server. The server then initiates a process to assist with contract terms and loan simulations. It adjusts the information during the process to match the user's understanding and provides a final proposal. The output includes the results of the contract procedures and loan simulations, along with any necessary information.

[0222] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0223] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0224] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0225] [Second Embodiment]

[0226] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0227] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0228] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0229] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0230] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0231] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0232] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0233] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0234] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0235] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0236] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0237] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0238] The system of this invention is implemented by modules consisting of a user, a terminal, and a server. The details are described below.

[0239] First, the user uses a terminal to enter their desired criteria for real estate properties. This initiates a search based on the user's needs. The terminal sends this input information to a server, which requests the generation of a property list optimized for the user's preferences.

[0240] Based on the received request criteria, the server uses a generative model to create a list of suitable properties from the database. The generative model combines multiple algorithms to select the optimal property. The server then returns the created property list to the terminal.

[0241] The terminal renders visual information in a virtual reality space based on the received property information and presents it to the user. Using VR technology, users can view properties without actually visiting them in person. This allows users to efficiently select properties.

[0242] Furthermore, if users have questions about the property or surrounding environment during the tour, they can make inquiries to the server via their device. An artificial intelligence agent on the server will answer these inquiries in real time and return information to resolve the user's questions.

[0243] Furthermore, during the contract procedures and loan simulation stages, the server provides the necessary information and support to help users proceed with the contract smoothly. In this way, users can efficiently and with reduced complexity when buying or renting real estate.

[0244] As a concrete example, a user enters their desired conditions, such as "a 2LDK apartment in Tokyo with a budget of under 30 million yen, within a 10-minute walk from the station, and with a supermarket nearby." This information is sent to the server, and a generative model generates a list of suitable properties. The user can then select a property they are interested in and view its interior through a VR tour, checking details such as the size of each room and the amount of sunlight it receives. If the user then asks the server, "How old is this property?", the artificial intelligence agent immediately replies, "It's 5 years old," and provides additional information.

[0245] Thus, the system of the present invention enables users to efficiently and effectively select properties and proceed with related procedures.

[0246] The following describes the processing flow.

[0247] Step 1:

[0248] The user enters the desired item specifications through the terminal interface. This includes the desired budget, location, size, and surrounding environment.

[0249] Step 2:

[0250] The terminal sends the entered desired conditions to the server. The data is transferred using a secure protocol.

[0251] Step 3:

[0252] The server receives the desired conditions and creates a database query using a generative model. It queries the database to generate a list of items that match the requested conditions.

[0253] Step 4:

[0254] The server further scrutinizes the list of items it has retrieved to select the most suitable candidates. Selection criteria may include not only the user's preferences but also other relevant data and trend information.

[0255] Step 5:

[0256] The server sends an optimized list of items to the terminal. This allows the user to receive information based on their selections.

[0257] Step 6:

[0258] Based on the item information received by the device, a VR space is generated and visualization begins. The user is then presented with details of the selected item in VR format.

[0259] Step 7:

[0260] Users can view items in a VR space and input specific questions or concerns into their device.

[0261] Step 8:

[0262] The device sends the user's question to the server. The question may be in text or audio format.

[0263] Step 9:

[0264] The server analyzes the question and uses an artificial intelligence agent to generate an answer in real time.

[0265] Step 10:

[0266] The server sends the generated answer to the terminal. This allows the user to resolve their questions and obtain information to support their decision-making.

[0267] Step 11:

[0268] When a user wants to proceed with a contract for an item they like, they notify the server of their intention via their device.

[0269] Step 12:

[0270] The server provides functions to support contract procedures and loan simulations. It sends necessary information and instructions to the terminal, supporting the user in smoothly progressing through the process.

[0271] (Example 1)

[0272] Next, we will describe Example 1. 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."

[0273] In selecting goods, it is essential to enable users to efficiently choose items that meet their desired conditions and to provide consistent support through to the contract procedures after selection. However, conventional systems have the problem of fragmented information provision and procedural support, which is time-consuming and troublesome for users.

[0274] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0275] In this invention, the server includes means for providing an interface via an information terminal for the user to input desired conditions, means for using an information processing model to generate a list of items based on the desired conditions, and means for presenting visual information in a virtual environment based on the list of items. This allows the user to efficiently select items that meet their desired conditions and to check the details through the virtual environment.

[0276] An "information terminal" refers to a computer device used by a user to input or receive information.

[0277] An "interface" refers to the screen configuration and operating methods that enable communication between the user and the information system.

[0278] An "information processing model" refers to a combination of algorithms that analyze data based on specific conditions and make decisions based on the results.

[0279] A "virtual environment" refers to a technology that provides a visual experience within a digital space that does not exist in reality.

[0280] "Visual information" refers to data presented to the user as images or videos.

[0281] An "algorithm" refers to a set of explicit steps or formulas used to solve a problem.

[0282] "Information source" refers to various databases and datasets that provide specific data and knowledge.

[0283] "Commercial transaction" refers to a series of operations and procedures related to sales contracts and service contracts.

[0284] This invention relates to a system that supports the selection and procedures of real estate properties through the interaction of information terminals, servers, and users.

[0285] First, the user uses an information terminal to input the desired conditions for real estate properties. This information terminal is realized by a personal computer, smartphone, tablet, etc., and text input and pull-down menus can be used for the user interface. For example, specific conditions such as "within a budget of 30 million yen, a 2LDK apartment in Tokyo, within a 10-minute walk from the station, and a supermarket nearby" can be input.

[0286] Subsequently, the information terminal sends the input desired conditions to the server. This server extracts properties suitable for the desired conditions from the database based on the generative AI model and generates a list of selected properties. Natural language processing technology and machine learning algorithms are utilized in this process to achieve high-precision property matching.

[0287] The generated property list is sent to the information terminal and presented to the user in a virtual environment. This virtual environment is realized using virtual reality technology, and the user can visually experience as if they had actually visited the property.

[0288] Furthermore, when the user needs additional information about a property within the virtual environment, they send a question to the server through the information terminal. The server uses an algorithm to obtain the necessary data from multiple information sources and provides an immediate answer to the user. For example, when the user inputs a question such as "How many years old is this property?", the server answers "5 years old".

[0289] Finally, when users select a property and proceed with contract procedures and loan simulations, they can receive necessary information and support from the server via their information terminal. This allows users to smoothly conclude contracts and proceed with the purchase or rental of real estate.

[0290] An example of a prompt message could be a text-based input such as, "Please recommend a 2LDK apartment in Tokyo that costs under 30 million yen."

[0291] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0292] Step 1:

[0293] Users input their desired real estate property criteria using an information terminal. Specifically, they fill in conditions such as "budget under 30 million yen" and "2LDK apartment in Tokyo" in an input form displayed on the information terminal screen. This input is then sent to the server as text data via the information terminal.

[0294] Step 2:

[0295] The terminal sends the user's desired conditions to the server. The terminal sends the entered text data as an HTTP request to the server's API endpoint. Through this operation, the server receives the user's desired conditions.

[0296] Step 3:

[0297] The server searches its database for matching properties based on the received desired conditions. Here, a generative AI model is used to analyze the input data and generate a list of properties that meet the criteria. This process employs natural language processing techniques to understand the input prompts and perform data filtering accordingly.

[0298] Step 4:

[0299] The server returns the generated property list to the terminal. The generated list is structured in a data format such as JSON and is returned to the terminal. This output data contains detailed information such as property names, addresses, prices, etc.

[0300] Step 5:

[0301] Based on the property information received from the server, the terminal renders visual information in a virtual environment. Specifically, using VR technology, a 3D video of the interior of the property is generated and presented to the user. Through this process, the user can check the details without actually visiting the property.

[0302] Step 6:

[0303] If the user has questions about the property, they send an inquiry to the server through the terminal. The user enters specific questions using the input field of the terminal, and this data is sent to the server. For example, questions such as "How many years old is this property?" are possible.

[0304] Step 7:

[0305] The server immediately generates an answer to the user's question using an algorithm. For this, the server obtains the necessary data from relevant information sources and generates the answer. The obtained data is returned to the terminal. For example, an answer such as "It was built 5 years ago" is returned.

[0306] Step 8:

[0307] After the user selects a property, the terminal receives support information for the contract procedure and financial plan from the server. The server generates the documents required for the contract and the simulation results of the financial plan, and supports the user by sending this to the terminal.

[0308] (Application Example 1)

[0309] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0310] Modern consumers want to choose the best product from a variety of options when purchasing goods, but their selection process is limited by physical travel and time constraints. Furthermore, while they desire immediate access to detailed product information, obtaining this information takes time, delaying their purchase decision. This invention solves these problems, enabling consumers to efficiently and effectively select products and proceed with the purchase process quickly.

[0311] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0312] In this invention, the server includes means for providing an input device for the user to input desired attributes, means for using a data processing device for generating an optimal product list based on the desired attributes, and means for using a display device for presenting visual information in a virtual reality space based on the product list. This enables the user to quickly and intuitively select the optimal product, and to expedite information acquisition and support purchase decision-making while confirming details through virtual reality.

[0313] An "input device" is a device that provides an interface for users to input information to specify the products and attributes they desire.

[0314] A "data processing device" is a device that generates the optimal product list based on the desired attributes entered, and is a processing device that performs complex calculations and analyses.

[0315] A "display device" is a device that visually presents a generated list of products to the user as a virtual reality space.

[0316] An "intelligent agent" is software or a system that has the ability to instantly generate responses to user questions, and uses artificial intelligence technology to acquire information and respond.

[0317] A "support device" is a device that assists with simulations of transaction procedures and fund management, playing a supplementary role in enabling users to smoothly proceed with contracts and commercial transactions.

[0318] "Information sources" refer to multiple databases and online resources from which an intelligent agent obtains the information necessary to generate an answer.

[0319] "Commercial transaction" refers to the act of determining the terms and conditions of a transaction and the entire contractual process for the goods selected by the user.

[0320] The system necessary to implement this invention mainly consists of a server, a terminal, and a user. The terminal provides an interface for the user to input the attributes of the products they wish to purchase. When the user inputs information into the terminal, that data is transmitted to the server via the network. The server uses a generation AI model based on the received attribute information and utilizes a data processing device to generate an optimal list of products.

[0321] The generated product list is sent from the server to the terminal, which then displays visual information in a virtual reality space based on this list. For example, the user can view selected products from a 360-degree perspective. Software such as Unity could be used to generate the virtual reality environment.

[0322] Furthermore, if a user has questions about product details, those questions are sent to the server via the device. The server has the ability to answer these questions immediately through an intelligent agent. The intelligent agent uses technologies such as Google TensorFlow and OpenAI to retrieve data from multiple sources and generate answers in natural language.

[0323] The support device assists users in their purchasing activities through transaction procedures and financial management simulations. For example, it can simulate the price and payment plan of the products selected by the user, and present economical options for purchasing.

[0324] For example, if a user requests a "blue jacket," the server generates a list of products that meet that criteria and sends it to the user's device. The user can then virtually try on the jackets and check the material and dimensions. If the user sends a prompt such as, "What material is this jacket made of?", the intelligent agent will respond, "This jacket is 100% cotton."

[0325] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0326] Step 1:

[0327] The user uses a terminal to input attribute information for the desired product. This input includes product category, color, size, price range, etc. The terminal transmits this information to the server via the network. The entered data is processed by the server as basic data for optimal product search.

[0328] Step 2:

[0329] Based on the received attribute information, the server uses a generative AI model to extract the most suitable product list from the database. This process utilizes machine learning algorithms to analyze the received input data and select appropriate products from the database. The server then returns the resulting product list to the terminal.

[0330] Step 3:

[0331] The terminal uses software such as Unity to visualize products in a virtual reality space based on a product list received from the server. Here, users can view a 360-degree view of the products within the VR environment and examine their details. Furthermore, they can compare and analyze products based on the visualized information.

[0332] Step 4:

[0333] If a user has additional questions about product details or attributes, they send a prompt message to the server via their device. The server uses an intelligent agent to retrieve relevant data from multiple sources and generate an appropriate answer based on that information. The answer is then quickly returned to the user's device.

[0334] Step 5:

[0335] When a user expresses interest in purchasing a product and requires a loan simulation, the system provides support through a dedicated device. The server simulates information regarding product prices and payment plans, presenting the user with the most suitable options. These options help the user navigate the purchase process smoothly.

[0336] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0337] This invention combines an emotion engine with a system that allows users to input their desired conditions and presents appropriate items based on a generative model. Specific embodiments are described below.

[0338] The user enters their desired conditions through the device. This interface incorporates an emotion engine that recognizes the user's emotional state and adapts the displayed content accordingly. As the user enters their conditions, the device analyzes the user's emotional state using voice recognition and camera data.

[0339] The server receives the user's preferences and emotional state, and uses a generative model to generate a list of appropriate items. The emotional engine's information influences the item selection process, adjusting the suggestions according to the user's preferences and mood at the time.

[0340] The generated item list is sent to the terminal and presented to the user as visual information in a virtual reality space. This allows the user to realistically experience the most suitable items according to their emotions.

[0341] Furthermore, if a user asks a question during the tour, the device queries the server, and an artificial intelligence agent generates a response in real time. Based on feedback from the emotion engine, the way the response is given and the way information is presented are individually adjusted.

[0342] For example, if a user enters desired conditions such as "budget under 30 million yen, close to the station, good sunlight," and shows a slightly tired expression, the emotional engine will prioritize suggesting properties with a relaxing living environment. The user can then view these properties through a VR tour and receive responses that prioritize a relaxing environment.

[0343] For the items ultimately selected by the user, the server assists with contract procedures and loan simulations. It is also possible to utilize an emotion engine to adjust explanations of contract terms and procedures to match the user's level of understanding. Thus, this invention realizes efficient item provision and transaction support that takes user emotions into consideration.

[0344] The following describes the processing flow.

[0345] Step 1:

[0346] The user enters their desired property criteria through the terminal's interface. These criteria include budget, location, floor plan, and surrounding environment. While the user is entering their information, the terminal uses its built-in camera and microphone to analyze the user's facial expressions and voice tone using an emotion engine.

[0347] Step 2:

[0348] The device sends the user's desired conditions and emotional state information analyzed by the emotion engine to the server. This transmission is performed using a secure communication protocol.

[0349] Step 3:

[0350] The server receives the user's desired conditions and emotional information, and uses a generative model to create a list of appropriate items based on this information. The generative model takes the user's emotional state into consideration and selects items that are appropriate to the user's psychological state.

[0351] Step 4:

[0352] The server generates an item list and sends it to the terminal. The terminal then uses this list to prepare a virtual reality space, renders the visual information, and presents it to the user.

[0353] Step 5:

[0354] Users view objects in a virtual reality space and input specific questions and inquiries into the terminal's interface. The user's input is continuously sent to an emotion engine for further sentiment analysis.

[0355] Step 6:

[0356] The device sends a question from the user to the server. The server uses an artificial intelligence agent to generate an answer that takes the user's emotional state into account.

[0357] Step 7:

[0358] The server generates a response, which is sent to the terminal, and the terminal displays it to the user. Communication is tailored to the user's emotional state, and information is provided at the appropriate time.

[0359] Step 8:

[0360] If a user decides to proceed with the contract process for the selected item, they will notify the server of their decision via their device.

[0361] Step 9:

[0362] The server provides features to assist with contract procedures and loan simulations. Furthermore, based on feedback from an emotion engine, it adjusts the contract explanation to match the user's level of understanding. This allows users to complete contract procedures without stress.

[0363] (Example 2)

[0364] Next, we will describe Example 2. 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".

[0365] Traditional product presentation systems present products based on fixed conditions without considering the user's emotional state or temporary mood, making it highly likely that users would miss truly desirable options. Furthermore, contract procedures and information presentation were often uniform, leading to a lack of user understanding and acceptance. This resulted in a diminished user experience and limited the system's usefulness.

[0366] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0367] In this invention, the server includes means for using a generative model that presents appropriate items according to the user's desired conditions, means for using an emotion engine that analyzes the emotional state and adjusts the selection of items, and means for presenting items as visual information in a virtual reality space. This enables the efficient provision of items that are best suited to the user's emotions and desires, and allows for contract procedures and information provision that are tailored to individual needs.

[0368] A "terminal" is a communication device used by a user to input information or receive visual feedback.

[0369] "Desired conditions" are items that indicate the characteristics and standards that the user desires for a particular item.

[0370] An "emotion engine" is an analysis system that analyzes a user's voice and facial expressions to understand their emotional state.

[0371] A "generative model" is a computational algorithm used to generate the optimal choices or lists based on given input data.

[0372] "Virtual reality space" is a technology that allows users to experience a virtually constructed three-dimensional environment.

[0373] An "artificial intelligence agent" is a program that can autonomously generate responses to user inquiries.

[0374] A "data storage device" is a device or system that stores information for a long period of time and allows it to be retrieved as needed.

[0375] "Contract procedures" refer to the process by which users finalize the necessary agreements regarding the purchase or use of goods and formalize them as official procedures.

[0376] A "loan simulation" is a calculation procedure used to predict how a financial contract or payment plan will proceed based on the user's circumstances.

[0377] This invention is a system that provides goods tailored to the individual needs of users. First, the user inputs their desired conditions using a terminal. The terminal is equipped with voice recognition and a camera, and analyzes the user's voice and facial expressions to infer their emotional state. An emotion engine is used for this analysis.

[0378] The terminal analyzes the desired conditions and emotional state data and sends it to the server. The server uses a generative AI model based on this data to generate a list of appropriate items. In this process, the generative model utilizes prompts to select the items that best match the input conditions and emotional state. A concrete example of a prompt might be input such as, "Budget under 30 million yen, near the station, good sunlight, feeling a little tired."

[0379] The generated item list is sent from the server to the terminal, which then presents it to the user as visual information in a virtual reality space. The user can experience this information through a VR device. Furthermore, if the user has questions during the item selection process, the terminal sends those questions to the server in real time. The server uses an artificial intelligence agent to answer the questions and make adjustments tailored to the user.

[0380] Furthermore, for the items ultimately selected by the user, the server assists with contract procedures and loan simulations. An emotion engine adjusts the explanation of contract terms and procedures according to the user's individual emotions and level of understanding.

[0381] This invention is a system that effectively integrates the user's wishes and feelings, provides the best possible goods, and supports smooth contract procedures.

[0382] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0383] Step 1:

[0384] The user inputs their desired conditions using the device. The device receives these conditions via voice input or touchscreen, while simultaneously capturing the user's facial expressions and voice tone using its built-in camera and microphone. An emotion engine analyzes this data to determine the user's emotional state. The device acquires desired conditions and emotion indicators as input, and generates analyzed emotional state data as output.

[0385] Step 2:

[0386] The terminal analyzes the desired conditions and emotional state data, which is then transmitted to the server via the network. The server receives this data and activates a generative AI model. Here, the desired conditions and emotional state are input to the generative model as prompts, and based on this, a list of items suitable for the user is generated. The input is the emotional state and desired conditions, and the output is the list of items.

[0387] Step 3:

[0388] The server sends the generated list of items to the terminal. The terminal, using a virtual reality-enabled device, presents these items to the user as a visual virtual reality experience. The user then actually sees and selects the items within the VR environment. In this step, the input is the list of items, and the output is the visual information within the VR environment.

[0389] Step 4:

[0390] When a user asks a question while selecting an item, the terminal queries the server in real time. The server uses an artificial intelligence agent to generate the best possible answer based on the user's question and emotional state, and sends it to the terminal. The input is the user's question and emotional state, and the output is the adjusted answer.

[0391] Step 5:

[0392] For the items ultimately selected by the user, the server executes contract procedures and loan simulations. This process utilizes an emotion engine to adjust contract terms based on the user's level of understanding. Inputs are the selected items and the user's emotion data, while output are the adjusted contract terms and loan plan.

[0393] (Application Example 2)

[0394] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0395] In today's world, users are required to select the appropriate goods from a multitude of options, but there is a challenge in receiving optimal suggestions based not only on their desired conditions but also on their emotional state. Furthermore, it is difficult to make appropriate selections without actually inspecting the suggested goods. In addition, there is a problem in that the contract process and loan simulations require adaptation to the individual user's level of understanding and emotional state, but such adaptation is often insufficient.

[0396] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0397] In this invention, the server includes means for providing an interface for the user to input desired conditions and emotional states, means for using a generative model to generate an optimal list of items based on the desired conditions and emotional states, and means for presenting visual information in a virtual reality space based on the list of items, allowing the user to experience items that correspond to their emotions. This makes it possible to suggest items optimized for the user's individual desired conditions and emotions. Furthermore, by analyzing the user's emotional state through an emotion engine and providing appropriate content, a more satisfying selection and an effective contract process can be achieved.

[0398] An "interface" is a window through which users input their desired conditions and emotional states, and is a component of a system that combines ease of use and intuitiveness.

[0399] A "generative model" is an algorithm or program that generates an optimal list of items based on the user's desired conditions and emotional state, and is a means of performing data processing and inference.

[0400] A "virtual reality space" is a virtual environment that users can experience as visual information, and it is a technology that provides a similar sense of space to a physical space.

[0401] An "artificial intelligence agent" is a program or system that responds to user inquiries in real time and adjusts its responses according to the user's emotional state.

[0402] An "emotion engine" is a technology that analyzes a user's emotional state and adjusts the suggested products accordingly. It is a system equipped with emotion recognition and response generation capabilities.

[0403] Comparative analysis is a method of evaluating multiple items and conducting analysis to make the optimal selection; it involves data analysis and processing based on evaluation criteria.

[0404] "Contract procedures" refer to the process of formalizing arrangements after selecting goods, and include tasks such as confirming agreed-upon terms and adjusting conditions.

[0405] "Loan simulation" is a tool that allows users to simulate the funds needed to purchase goods, and it is a function that performs financial calculations and scenario analysis.

[0406] The system for realizing this invention consists of collaboration between a user, a terminal, and a server. The user uses a terminal such as a smartphone or tablet to input desired conditions and emotional states into the interface. The terminal analyzes the user's emotions using speech recognition and camera data and transmits this information to the server. Specifically, emotion recognition libraries such as the Microsoft Azure Face API are used for emotion analysis.

[0407] On the server, a generative AI model is used to generate a list of optimal items based on the user's preferences and emotional state. The generative model utilizes natural language processing engines such as OpenAI GPT, enabling highly accurate recommendations. The generated list of items is sent to the terminal and presented to the user as visual information in a virtual reality space. Software such as Unity and Google VR SDK are used for the VR experience, providing the user with a realistic and immersive experience.

[0408] Furthermore, the server uses an artificial intelligence agent to respond to user inquiries in real time. Since the response is adjusted based on the user's emotional state, it is possible to achieve individually customized interactions. Additionally, by using an emotion engine, the system dynamically adjusts the suggested items according to the user's emotional state.

[0409] For example, if a user enters "apartment within a 5-minute walk from the station, pet-friendly" as their desired conditions and appears somewhat tired, the server will prioritize suggesting properties with relaxing terraces. The user can explore the interior of the property through a VR view and ask the chatbot, "What are the nearby pet facilities?", and facility information will be provided in a tone that takes emotional comfort into consideration. In this way, users can select the most suitable goods and services according to their emotional state.

[0410] An example of a prompt message would be: "Based on the user's specified conditions and emotional state, generate a list of the best properties and provide a VR view. Also, configure the chatbot to provide relaxing answers to questions."

[0411] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0412] Step 1:

[0413] The user inputs their desired conditions and emotional state into the interface using their device. During this process, voice input and camera data are used to analyze the user's facial expressions and tone of voice, extracting their emotional state. Input data includes desired conditions, voice data, and facial image data. This data is analyzed and organized to represent the user's current emotional state.

[0414] Step 2:

[0415] The terminal transmits the analyzed emotional state and desired conditions to the server. Based on the received data, the server uses a generative AI model to generate a list of appropriate items. In this process, the input emotional state and conditions are provided to the generative AI model as prompts, and the model creates the item list. The output is a list of items best suited to the user.

[0416] Step 3:

[0417] The server sends a list of generated items to the terminal. The terminal displays the list of items as visual information in a virtual reality space. Using Unity or the Google VR SDK, the system is set up so that the user can experience the visual information in an immersive way. As output, environment data for the VR experience is provided.

[0418] Step 4:

[0419] As the user experiences a VR browsing of items and enters a question, the device sends that question to the server. The server uses an artificial intelligence agent to generate a real-time response to the question. During this process, individual adjustments are made to reflect the user's emotional state, and the answer is generated as a response. The output data is a personalized response.

[0420] Step 5:

[0421] When a user selects an item, that information is sent to the server. The server then initiates a process to assist with contract terms and loan simulations. It adjusts the information during the process to match the user's understanding and provides a final proposal. The output includes the results of the contract procedures and loan simulations, along with any necessary information.

[0422] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0423] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0424] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0425] [Third Embodiment]

[0426] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0427] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0428] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0429] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0430] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0431] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0432] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0433] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0434] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0435] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0436] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0437] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0438] The system of this invention is implemented by modules consisting of a user, a terminal, and a server. The details are described below.

[0439] First, the user uses a terminal to enter their desired criteria for real estate properties. This initiates a search based on the user's needs. The terminal sends this input information to a server, which requests the generation of a property list optimized for the user's preferences.

[0440] Based on the received request criteria, the server uses a generative model to create a list of suitable properties from the database. The generative model combines multiple algorithms to select the optimal property. The server then returns the created property list to the terminal.

[0441] The terminal renders visual information in a virtual reality space based on the received property information and presents it to the user. Using VR technology, users can view properties without actually visiting them in person. This allows users to efficiently select properties.

[0442] Furthermore, if users have questions about the property or surrounding environment during the tour, they can make inquiries to the server via their device. An artificial intelligence agent on the server will answer these inquiries in real time and return information to resolve the user's questions.

[0443] Furthermore, during the contract procedures and loan simulation stages, the server provides the necessary information and support to help users proceed with the contract smoothly. In this way, users can efficiently and with reduced complexity when buying or renting real estate.

[0444] As a concrete example, a user enters their desired conditions, such as "a 2LDK apartment in Tokyo with a budget of under 30 million yen, within a 10-minute walk from the station, and with a supermarket nearby." This information is sent to the server, and a generative model generates a list of suitable properties. The user can then select a property they are interested in and view its interior through a VR tour, checking details such as the size of each room and the amount of sunlight it receives. If the user then asks the server, "How old is this property?", the artificial intelligence agent immediately replies, "It's 5 years old," and provides additional information.

[0445] Thus, the system of the present invention enables users to efficiently and effectively select properties and proceed with related procedures.

[0446] The following describes the processing flow.

[0447] Step 1:

[0448] The user enters the desired item specifications through the terminal interface. This includes the desired budget, location, size, and surrounding environment.

[0449] Step 2:

[0450] The terminal sends the entered desired conditions to the server. The data is transferred using a secure protocol.

[0451] Step 3:

[0452] The server receives the desired conditions and creates a database query using a generative model. It queries the database to generate a list of items that match the requested conditions.

[0453] Step 4:

[0454] The server further scrutinizes the list of items it has retrieved to select the most suitable candidates. Selection criteria may include not only the user's preferences but also other relevant data and trend information.

[0455] Step 5:

[0456] The server sends an optimized list of items to the terminal. This allows the user to receive information based on their selections.

[0457] Step 6:

[0458] Based on the item information received by the device, a VR space is generated and visualization begins. The user is then presented with details of the selected item in VR format.

[0459] Step 7:

[0460] Users can view items in a VR space and input specific questions or concerns into their device.

[0461] Step 8:

[0462] The device sends the user's question to the server. The question may be in text or audio format.

[0463] Step 9:

[0464] The server analyzes the question and uses an artificial intelligence agent to generate an answer in real time.

[0465] Step 10:

[0466] The server sends the generated answer to the terminal. This allows the user to resolve their questions and obtain information to support their decision-making.

[0467] Step 11:

[0468] When a user wants to proceed with a contract for an item they like, they notify the server of their intention via their device.

[0469] Step 12:

[0470] The server provides functions to support contract procedures and loan simulations. It sends necessary information and instructions to the terminal, supporting the user in smoothly progressing through the process.

[0471] (Example 1)

[0472] Next, we will describe Example 1. 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."

[0473] In selecting goods, it is essential to enable users to efficiently choose items that meet their desired conditions and to provide consistent support through to the contract procedures after selection. However, conventional systems have the problem of fragmented information provision and procedural support, which is time-consuming and troublesome for users.

[0474] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0475] In this invention, the server includes means for providing an interface via an information terminal for the user to input desired conditions, means for using an information processing model to generate a list of items based on the desired conditions, and means for presenting visual information in a virtual environment based on the list of items. This allows the user to efficiently select items that meet their desired conditions and to check the details through the virtual environment.

[0476] An "information terminal" refers to a computer device used by a user to input or receive information.

[0477] An "interface" refers to the screen configuration and operating methods that enable communication between the user and the information system.

[0478] An "information processing model" refers to a combination of algorithms that analyze data based on specific conditions and make decisions based on the results.

[0479] A "virtual environment" refers to a technology that provides a visual experience within a digital space that does not exist in reality.

[0480] "Visual information" refers to data presented to the user as images or videos.

[0481] An "algorithm" refers to a set of explicit steps or formulas used to solve a problem.

[0482] "Information sources" refer to various databases and datasets that provide specific data or knowledge.

[0483] "Commercial transactions" refer to a series of operations and procedures related to sales contracts and service contracts.

[0484] This invention relates to a system that supports the selection and procedures of real estate properties through the interaction of an information terminal, a server, and a user.

[0485] First, the user uses an information terminal to input their desired real estate property criteria. This terminal can be a personal computer, smartphone, or tablet, and the user interface can utilize text input or pull-down menus. For example, users can input specific conditions such as "budget under 30 million yen, 2LDK apartment in Tokyo, within a 10-minute walk from the station, with a supermarket nearby."

[0486] Next, the information terminal sends the entered desired conditions to the server. This server extracts properties that meet the desired conditions from its database based on a generated AI model and generates a list of selected properties. This process utilizes natural language processing technology and machine learning algorithms to achieve highly accurate property matching.

[0487] The generated property list is sent to an information terminal and presented to the user in a virtual environment. This virtual environment is realized using virtual reality technology, allowing the user to visually experience the property as if they were actually visiting it.

[0488] Furthermore, if a user needs additional information about a property within the virtual environment, they can send a question to the server via their information terminal. The server uses an algorithm to retrieve the necessary data from multiple sources and provides the user with an immediate answer. For example, if a user enters the question, "How old is this property?", the server will respond, "It is 5 years old."

[0489] Finally, when users select a property and proceed with contract procedures and loan simulations, they can receive necessary information and support from the server via their information terminal. This allows users to smoothly conclude contracts and proceed with the purchase or rental of real estate.

[0490] An example of a prompt message could be a text-based input such as, "Please recommend a 2LDK apartment in Tokyo that costs under 30 million yen."

[0491] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0492] Step 1:

[0493] Users input their desired real estate property criteria using an information terminal. Specifically, they fill in conditions such as "budget under 30 million yen" and "2LDK apartment in Tokyo" in an input form displayed on the information terminal screen. This input is then sent to the server as text data via the information terminal.

[0494] Step 2:

[0495] The terminal sends the user's desired conditions to the server. The terminal sends the entered text data as an HTTP request to the server's API endpoint. Through this operation, the server receives the user's desired conditions.

[0496] Step 3:

[0497] The server searches its database for matching properties based on the received desired conditions. Here, a generative AI model is used to analyze the input data and generate a list of properties that meet the criteria. This process employs natural language processing techniques to understand the input prompts and perform data filtering accordingly.

[0498] Step 4:

[0499] The server returns the generated property list to the terminal. The generated list is structured in a data format such as JSON and returned to the terminal. This output data includes detailed information such as property name, address, and price.

[0500] Step 5:

[0501] The terminal renders visual information in a virtual environment based on property information received from the server. Specifically, it uses VR technology to generate 3D images of the property's interior and presents them to the user. This process allows the user to view details without actually visiting the property.

[0502] Step 6:

[0503] If a user has a question about a property, they send an inquiry to the server via their device. The user enters their specific question using the input field on the device, and that data is sent to the server. For example, a user could ask, "How old is this property?"

[0504] Step 7:

[0505] The server uses an algorithm to instantly generate answers to user questions. To do this, the server retrieves the necessary data from relevant sources and generates the answer. The retrieved data is then sent back to the terminal. For example, an answer such as "It's 5 years old" might be returned.

[0506] Step 8:

[0507] After the user selects a property, the terminal receives support information for contract procedures and financial planning from the server. The server generates the necessary documents for the contract and simulation results for the financial plan, and sends them to the terminal to support the user.

[0508] (Application Example 1)

[0509] Next, we will explain Application Example 1. In the following explanation, 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."

[0510] Modern consumers want to choose the best product from a variety of options when purchasing goods, but their selection process is limited by physical travel and time constraints. Furthermore, while they desire immediate access to detailed product information, obtaining this information takes time, delaying their purchase decision. This invention solves these problems, enabling consumers to efficiently and effectively select products and proceed with the purchase process quickly.

[0511] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0512] In this invention, the server includes means for providing an input device for the user to input desired attributes, means for using a data processing device for generating an optimal product list based on the desired attributes, and means for using a display device for presenting visual information in a virtual reality space based on the product list. This enables the user to quickly and intuitively select the optimal product, and to expedite information acquisition and support purchase decision-making while confirming details through virtual reality.

[0513] An "input device" is a device that provides an interface for users to input information to specify the products and attributes they desire.

[0514] A "data processing device" is a device that generates the optimal product list based on the desired attributes entered, and is a processing device that performs complex calculations and analyses.

[0515] A "display device" is a device that visually presents a generated list of products to the user as a virtual reality space.

[0516] An "intelligent agent" is software or a system that has the ability to instantly generate responses to user questions, and uses artificial intelligence technology to acquire information and respond.

[0517] A "support device" is a device that assists with simulations of transaction procedures and fund management, playing a supplementary role in enabling users to smoothly proceed with contracts and commercial transactions.

[0518] "Information sources" refer to multiple databases and online resources from which an intelligent agent obtains the information necessary to generate an answer.

[0519] "Commercial transaction" refers to the act of determining the terms and conditions of a transaction and the entire contractual process for the goods selected by the user.

[0520] The system necessary to implement this invention mainly consists of a server, a terminal, and a user. The terminal provides an interface for the user to input the attributes of the products they wish to purchase. When the user inputs information into the terminal, that data is transmitted to the server via the network. The server uses a generation AI model based on the received attribute information and utilizes a data processing device to generate an optimal list of products.

[0521] The generated product list is sent from the server to the terminal, which then displays visual information in a virtual reality space based on this list. For example, the user can view selected products from a 360-degree perspective. Software such as Unity could be used to generate the virtual reality environment.

[0522] Furthermore, if a user has questions about product details, those questions are sent to the server via the device. The server has the ability to answer these questions immediately through an intelligent agent. The intelligent agent uses technologies such as Google TensorFlow and OpenAI to retrieve data from multiple sources and generate answers in natural language.

[0523] The support device assists users in their purchasing activities through transaction procedures and financial management simulations. For example, it can simulate the price and payment plan of the products selected by the user, and present economical options for purchasing.

[0524] For example, if a user requests a "blue jacket," the server generates a list of products that meet that criteria and sends it to the user's device. The user can then virtually try on the jackets and check the material and dimensions. If the user sends a prompt such as, "What material is this jacket made of?", the intelligent agent will respond, "This jacket is 100% cotton."

[0525] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0526] Step 1:

[0527] The user uses a terminal to input attribute information for the desired product. This input includes product category, color, size, price range, etc. The terminal transmits this information to the server via the network. The entered data is processed by the server as basic data for optimal product search.

[0528] Step 2:

[0529] Based on the received attribute information, the server uses a generative AI model to extract the most suitable product list from the database. This process utilizes machine learning algorithms to analyze the received input data and select appropriate products from the database. The server then returns the resulting product list to the terminal.

[0530] Step 3:

[0531] The terminal uses software such as Unity to visualize products in a virtual reality space based on a product list received from the server. Here, users can view a 360-degree view of the products within the VR environment and examine their details. Furthermore, they can compare and analyze products based on the visualized information.

[0532] Step 4:

[0533] If a user has additional questions about product details or attributes, they send a prompt message to the server via their device. The server uses an intelligent agent to retrieve relevant data from multiple sources and generate an appropriate answer based on that information. The answer is then quickly returned to the user's device.

[0534] Step 5:

[0535] When a user expresses interest in purchasing a product and requires a loan simulation, the system provides support through a dedicated device. The server simulates information regarding product prices and payment plans, presenting the user with the most suitable options. These options help the user navigate the purchase process smoothly.

[0536] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0537] This invention combines an emotion engine with a system that allows users to input their desired conditions and presents appropriate items based on a generative model. Specific embodiments are described below.

[0538] The user enters their desired conditions through the device. This interface incorporates an emotion engine that recognizes the user's emotional state and adapts the displayed content accordingly. As the user enters their conditions, the device analyzes the user's emotional state using voice recognition and camera data.

[0539] The server receives the user's preferences and emotional state, and uses a generative model to generate a list of appropriate items. The emotional engine's information influences the item selection process, adjusting the suggestions according to the user's preferences and mood at the time.

[0540] The generated item list is sent to the terminal and presented to the user as visual information in a virtual reality space. This allows the user to realistically experience the most suitable items according to their emotions.

[0541] Furthermore, if a user asks a question during the tour, the device queries the server, and an artificial intelligence agent generates a response in real time. Based on feedback from the emotion engine, the way the response is given and the way information is presented are individually adjusted.

[0542] For example, if a user enters desired conditions such as "budget under 30 million yen, close to the station, good sunlight," and shows a slightly tired expression, the emotional engine will prioritize suggesting properties with a relaxing living environment. The user can then view these properties through a VR tour and receive responses that prioritize a relaxing environment.

[0543] For the items ultimately selected by the user, the server assists with contract procedures and loan simulations. It is also possible to utilize an emotion engine to adjust explanations of contract terms and procedures to match the user's level of understanding. Thus, this invention realizes efficient item provision and transaction support that takes user emotions into consideration.

[0544] The following describes the processing flow.

[0545] Step 1:

[0546] The user enters their desired property criteria through the terminal's interface. These criteria include budget, location, floor plan, and surrounding environment. While the user is entering their information, the terminal uses its built-in camera and microphone to analyze the user's facial expressions and voice tone using an emotion engine.

[0547] Step 2:

[0548] The device sends the user's desired conditions and emotional state information analyzed by the emotion engine to the server. This transmission is performed using a secure communication protocol.

[0549] Step 3:

[0550] The server receives the user's desired conditions and emotional information, and uses a generative model to create a list of appropriate items based on this information. The generative model takes the user's emotional state into consideration and selects items that are appropriate to the user's psychological state.

[0551] Step 4:

[0552] The server generates an item list and sends it to the terminal. The terminal then uses this list to prepare a virtual reality space, renders the visual information, and presents it to the user.

[0553] Step 5:

[0554] Users view objects in a virtual reality space and input specific questions and inquiries into the terminal's interface. The user's input is continuously sent to an emotion engine for further sentiment analysis.

[0555] Step 6:

[0556] The device sends a question from the user to the server. The server uses an artificial intelligence agent to generate an answer that takes the user's emotional state into account.

[0557] Step 7:

[0558] The server generates a response, which is sent to the terminal, and the terminal displays it to the user. Communication is tailored to the user's emotional state, and information is provided at the appropriate time.

[0559] Step 8:

[0560] If a user decides to proceed with the contract process for the selected item, they will notify the server of their decision via their device.

[0561] Step 9:

[0562] The server provides features to assist with contract procedures and loan simulations. Furthermore, based on feedback from an emotion engine, it adjusts the contract explanation to match the user's level of understanding. This allows users to complete contract procedures without stress.

[0563] (Example 2)

[0564] Next, we will describe Example 2. 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."

[0565] Traditional product presentation systems present products based on fixed conditions without considering the user's emotional state or temporary mood, making it highly likely that users would miss truly desirable options. Furthermore, contract procedures and information presentation were often uniform, leading to a lack of user understanding and acceptance. This resulted in a diminished user experience and limited the system's usefulness.

[0566] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0567] In this invention, the server includes means for using a generative model that presents appropriate items according to the user's desired conditions, means for using an emotion engine that analyzes the emotional state and adjusts the selection of items, and means for presenting items as visual information in a virtual reality space. This enables the efficient provision of items that are best suited to the user's emotions and desires, and allows for contract procedures and information provision that are tailored to individual needs.

[0568] A "terminal" is a communication device used by a user to input information or receive visual feedback.

[0569] "Desired conditions" are items that indicate the characteristics and standards that the user desires for a particular item.

[0570] An "emotion engine" is an analysis system that analyzes a user's voice and facial expressions to understand their emotional state.

[0571] A "generative model" is a computational algorithm used to generate the optimal choices or lists based on given input data.

[0572] "Virtual reality space" is a technology that allows users to experience a virtually constructed three-dimensional environment.

[0573] An "artificial intelligence agent" is a program that can autonomously generate responses to user inquiries.

[0574] A "data storage device" is a device or system that stores information for a long period of time and allows it to be retrieved as needed.

[0575] "Contract procedures" refer to the process by which users finalize the necessary agreements regarding the purchase or use of goods and formalize them as official procedures.

[0576] A "loan simulation" is a calculation procedure used to predict how a financial contract or payment plan will proceed based on the user's circumstances.

[0577] This invention is a system that provides goods tailored to the individual needs of users. First, the user inputs their desired conditions using a terminal. The terminal is equipped with voice recognition and a camera, and analyzes the user's voice and facial expressions to infer their emotional state. An emotion engine is used for this analysis.

[0578] The terminal analyzes the desired conditions and emotional state data and sends it to the server. The server uses a generative AI model based on this data to generate a list of appropriate items. In this process, the generative model utilizes prompts to select the items that best match the input conditions and emotional state. A concrete example of a prompt might be input such as, "Budget under 30 million yen, near the station, good sunlight, feeling a little tired."

[0579] The generated item list is sent from the server to the terminal, which then presents it to the user as visual information in a virtual reality space. The user can experience this information through a VR device. Furthermore, if the user has questions during the item selection process, the terminal sends those questions to the server in real time. The server uses an artificial intelligence agent to answer the questions and make adjustments tailored to the user.

[0580] Furthermore, for the items ultimately selected by the user, the server assists with contract procedures and loan simulations. An emotion engine adjusts the explanation of contract terms and procedures according to the user's individual emotions and level of understanding.

[0581] This invention is a system that effectively integrates the user's wishes and feelings, provides the best possible goods, and supports smooth contract procedures.

[0582] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0583] Step 1:

[0584] The user inputs their desired conditions using the device. The device receives these conditions via voice input or touchscreen, while simultaneously capturing the user's facial expressions and voice tone using its built-in camera and microphone. An emotion engine analyzes this data to determine the user's emotional state. The device acquires desired conditions and emotion indicators as input, and generates analyzed emotional state data as output.

[0585] Step 2:

[0586] The terminal analyzes the desired conditions and emotional state data, which is then transmitted to the server via the network. The server receives this data and activates a generative AI model. Here, the desired conditions and emotional state are input to the generative model as prompts, and based on this, a list of items suitable for the user is generated. The input is the emotional state and desired conditions, and the output is the list of items.

[0587] Step 3:

[0588] The server sends the generated list of items to the terminal. The terminal, using a virtual reality-enabled device, presents these items to the user as a visual virtual reality experience. The user then actually sees and selects the items within the VR environment. In this step, the input is the list of items, and the output is the visual information within the VR environment.

[0589] Step 4:

[0590] When a user asks a question while selecting an item, the terminal queries the server in real time. The server uses an artificial intelligence agent to generate the best possible answer based on the user's question and emotional state, and sends it to the terminal. The input is the user's question and emotional state, and the output is the adjusted answer.

[0591] Step 5:

[0592] For the items ultimately selected by the user, the server executes contract procedures and loan simulations. This process utilizes an emotion engine to adjust contract terms based on the user's level of understanding. Inputs are the selected items and the user's emotion data, while output are the adjusted contract terms and loan plan.

[0593] (Application Example 2)

[0594] Next, we will explain application example 2. In the following explanation, 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."

[0595] In today's world, users are required to select the appropriate goods from a multitude of options, but there is a challenge in receiving optimal suggestions based not only on their desired conditions but also on their emotional state. Furthermore, it is difficult to make appropriate selections without actually inspecting the suggested goods. In addition, there is a problem in that the contract process and loan simulations require adaptation to the individual user's level of understanding and emotional state, but such adaptation is often insufficient.

[0596] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0597] In this invention, the server includes means for providing an interface for the user to input desired conditions and emotional states, means for using a generative model to generate an optimal list of items based on the desired conditions and emotional states, and means for presenting visual information in a virtual reality space based on the list of items, allowing the user to experience items that correspond to their emotions. This makes it possible to suggest items optimized for the user's individual desired conditions and emotions. Furthermore, by analyzing the user's emotional state through an emotion engine and providing appropriate content, a more satisfying selection and an effective contract process can be achieved.

[0598] An "interface" is a window through which users input their desired conditions and emotional states, and is a component of a system that combines ease of use and intuitiveness.

[0599] A "generative model" is an algorithm or program that generates an optimal list of items based on the user's desired conditions and emotional state, and is a means of performing data processing and inference.

[0600] A "virtual reality space" is a virtual environment that users can experience as visual information, and it is a technology that provides a similar sense of space to a physical space.

[0601] An "artificial intelligence agent" is a program or system that responds to user inquiries in real time and adjusts its responses according to the user's emotional state.

[0602] An "emotion engine" is a technology that analyzes a user's emotional state and adjusts the suggested products accordingly. It is a system equipped with emotion recognition and response generation capabilities.

[0603] Comparative analysis is a method of evaluating multiple items and conducting analysis to make the optimal selection; it involves data analysis and processing based on evaluation criteria.

[0604] "Contract procedures" refer to the process of formalizing arrangements after selecting goods, and include tasks such as confirming agreed-upon terms and adjusting conditions.

[0605] "Loan simulation" is a tool that allows users to simulate the funds needed to purchase goods, and it is a function that performs financial calculations and scenario analysis.

[0606] The system for realizing this invention consists of collaboration between a user, a terminal, and a server. The user uses a terminal such as a smartphone or tablet to input desired conditions and emotional states into the interface. The terminal analyzes the user's emotions using speech recognition and camera data and transmits this information to the server. Specifically, emotion recognition libraries such as the Microsoft Azure Face API are used for emotion analysis.

[0607] On the server, a generative AI model is used to generate a list of optimal items based on the user's preferences and emotional state. The generative model utilizes natural language processing engines such as OpenAI GPT, enabling highly accurate recommendations. The generated list of items is sent to the terminal and presented to the user as visual information in a virtual reality space. Software such as Unity and Google VR SDK are used for the VR experience, providing the user with a realistic and immersive experience.

[0608] Furthermore, the server uses an artificial intelligence agent to respond to user inquiries in real time. Since the response is adjusted based on the user's emotional state, it is possible to achieve individually customized interactions. Additionally, by using an emotion engine, the system dynamically adjusts the suggested items according to the user's emotional state.

[0609] For example, if a user enters "apartment within a 5-minute walk from the station, pet-friendly" as their desired conditions and appears somewhat tired, the server will prioritize suggesting properties with relaxing terraces. The user can explore the interior of the property through a VR view and ask the chatbot, "What are the nearby pet facilities?", and facility information will be provided in a tone that takes emotional comfort into consideration. In this way, users can select the most suitable goods and services according to their emotional state.

[0610] An example of a prompt message would be: "Based on the user's specified conditions and emotional state, generate a list of the best properties and provide a VR view. Also, configure the chatbot to provide relaxing answers to questions."

[0611] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0612] Step 1:

[0613] The user inputs their desired conditions and emotional state into the interface using their device. During this process, voice input and camera data are used to analyze the user's facial expressions and tone of voice, extracting their emotional state. Input data includes desired conditions, voice data, and facial image data. This data is analyzed and organized to represent the user's current emotional state.

[0614] Step 2:

[0615] The terminal transmits the analyzed emotional state and desired conditions to the server. Based on the received data, the server uses a generative AI model to generate a list of appropriate items. In this process, the input emotional state and conditions are provided to the generative AI model as prompts, and the model creates the item list. The output is a list of items best suited to the user.

[0616] Step 3:

[0617] The server sends a list of generated items to the terminal. The terminal displays the list of items as visual information in a virtual reality space. Using Unity or the Google VR SDK, the system is set up so that the user can experience the visual information in an immersive way. As output, environment data for the VR experience is provided.

[0618] Step 4:

[0619] As the user experiences a VR browsing of items and enters a question, the device sends that question to the server. The server uses an artificial intelligence agent to generate a real-time response to the question. During this process, individual adjustments are made to reflect the user's emotional state, and the answer is generated as a response. The output data is a personalized response.

[0620] Step 5:

[0621] When a user selects an item, that information is sent to the server. The server then initiates a process to assist with contract terms and loan simulations. It adjusts the information during the process to match the user's understanding and provides a final proposal. The output includes the results of the contract procedures and loan simulations, along with any necessary information.

[0622] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0623] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0624] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0625] [Fourth Embodiment]

[0626] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0627] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0628] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0629] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0630] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0631] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0632] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0633] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0634] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0635] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0636] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0637] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0638] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0639] The system of this invention is implemented by modules consisting of a user, a terminal, and a server. The details are described below.

[0640] First, the user uses a terminal to enter their desired criteria for real estate properties. This initiates a search based on the user's needs. The terminal sends this input information to a server, which requests the generation of a property list optimized for the user's preferences.

[0641] Based on the received request criteria, the server uses a generative model to create a list of suitable properties from the database. The generative model combines multiple algorithms to select the optimal property. The server then returns the created property list to the terminal.

[0642] The terminal renders visual information in a virtual reality space based on the received property information and presents it to the user. Using VR technology, users can view properties without actually visiting them in person. This allows users to efficiently select properties.

[0643] Furthermore, if users have questions about the property or surrounding environment during the tour, they can make inquiries to the server via their device. An artificial intelligence agent on the server will answer these inquiries in real time and return information to resolve the user's questions.

[0644] Furthermore, during the contract procedures and loan simulation stages, the server provides the necessary information and support to help users proceed with the contract smoothly. In this way, users can efficiently and with reduced complexity when buying or renting real estate.

[0645] As a concrete example, a user enters their desired conditions, such as "a 2LDK apartment in Tokyo with a budget of under 30 million yen, within a 10-minute walk from the station, and with a supermarket nearby." This information is sent to the server, and a generative model generates a list of suitable properties. The user can then select a property they are interested in and view its interior through a VR tour, checking details such as the size of each room and the amount of sunlight it receives. If the user then asks the server, "How old is this property?", the artificial intelligence agent immediately replies, "It's 5 years old," and provides additional information.

[0646] Thus, the system of the present invention enables users to efficiently and effectively select properties and proceed with related procedures.

[0647] The following describes the processing flow.

[0648] Step 1:

[0649] The user enters the desired item specifications through the terminal interface. This includes the desired budget, location, size, and surrounding environment.

[0650] Step 2:

[0651] The terminal sends the entered desired conditions to the server. The data is transferred using a secure protocol.

[0652] Step 3:

[0653] The server receives the desired conditions and creates a database query using a generative model. It queries the database to generate a list of items that match the requested conditions.

[0654] Step 4:

[0655] The server further scrutinizes the list of items it has retrieved to select the most suitable candidates. Selection criteria may include not only the user's preferences but also other relevant data and trend information.

[0656] Step 5:

[0657] The server sends an optimized list of items to the terminal. This allows the user to receive information based on their selections.

[0658] Step 6:

[0659] Based on the item information received by the device, a VR space is generated and visualization begins. The user is then presented with details of the selected item in VR format.

[0660] Step 7:

[0661] Users can view items in a VR space and input specific questions or concerns into their device.

[0662] Step 8:

[0663] The device sends the user's question to the server. The question may be in text or audio format.

[0664] Step 9:

[0665] The server analyzes the question and uses an artificial intelligence agent to generate an answer in real time.

[0666] Step 10:

[0667] The server sends the generated answer to the terminal. This allows the user to resolve their questions and obtain information to support their decision-making.

[0668] Step 11:

[0669] When a user wants to proceed with a contract for an item they like, they notify the server of their intention via their device.

[0670] Step 12:

[0671] The server provides functions to support contract procedures and loan simulations. It sends necessary information and instructions to the terminal, supporting the user in smoothly progressing through the process.

[0672] (Example 1)

[0673] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0674] In selecting goods, it is essential to enable users to efficiently choose items that meet their desired conditions and to provide consistent support through to the contract procedures after selection. However, conventional systems have the problem of fragmented information provision and procedural support, which is time-consuming and troublesome for users.

[0675] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0676] In this invention, the server includes means for providing an interface via an information terminal for the user to input desired conditions, means for using an information processing model to generate a list of items based on the desired conditions, and means for presenting visual information in a virtual environment based on the list of items. This allows the user to efficiently select items that meet their desired conditions and to check the details through the virtual environment.

[0677] An "information terminal" refers to a computer device used by a user to input or receive information.

[0678] An "interface" refers to the screen configuration and operating methods that enable communication between the user and the information system.

[0679] An "information processing model" refers to a combination of algorithms that analyze data based on specific conditions and make decisions based on the results.

[0680] A "virtual environment" refers to a technology that provides a visual experience within a digital space that does not exist in reality.

[0681] "Visual information" refers to data presented to the user as images or videos.

[0682] An "algorithm" refers to a set of explicit steps or formulas used to solve a problem.

[0683] "Information sources" refer to various databases and datasets that provide specific data or knowledge.

[0684] "Commercial transactions" refer to a series of operations and procedures related to sales contracts and service contracts.

[0685] This invention relates to a system that supports the selection and procedures of real estate properties through the interaction of an information terminal, a server, and a user.

[0686] First, the user uses an information terminal to input their desired real estate property criteria. This terminal can be a personal computer, smartphone, or tablet, and the user interface can utilize text input or pull-down menus. For example, users can input specific conditions such as "budget under 30 million yen, 2LDK apartment in Tokyo, within a 10-minute walk from the station, with a supermarket nearby."

[0687] Next, the information terminal sends the entered desired conditions to the server. This server extracts properties that meet the desired conditions from its database based on a generated AI model and generates a list of selected properties. This process utilizes natural language processing technology and machine learning algorithms to achieve highly accurate property matching.

[0688] The generated property list is sent to an information terminal and presented to the user in a virtual environment. This virtual environment is realized using virtual reality technology, allowing the user to visually experience the property as if they were actually visiting it.

[0689] Furthermore, if a user needs additional information about a property within the virtual environment, they can send a question to the server via their information terminal. The server uses an algorithm to retrieve the necessary data from multiple sources and provides the user with an immediate answer. For example, if a user enters the question, "How old is this property?", the server will respond, "It is 5 years old."

[0690] Finally, when users select a property and proceed with contract procedures and loan simulations, they can receive necessary information and support from the server via their information terminal. This allows users to smoothly conclude contracts and proceed with the purchase or rental of real estate.

[0691] An example of a prompt message could be a text-based input such as, "Please recommend a 2LDK apartment in Tokyo that costs under 30 million yen."

[0692] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0693] Step 1:

[0694] Users input their desired real estate property criteria using an information terminal. Specifically, they fill in conditions such as "budget under 30 million yen" and "2LDK apartment in Tokyo" in an input form displayed on the information terminal screen. This input is then sent to the server as text data via the information terminal.

[0695] Step 2:

[0696] The terminal sends the user's desired conditions to the server. The terminal sends the entered text data as an HTTP request to the server's API endpoint. Through this operation, the server receives the user's desired conditions.

[0697] Step 3:

[0698] The server searches its database for matching properties based on the received desired conditions. Here, a generative AI model is used to analyze the input data and generate a list of properties that meet the criteria. This process employs natural language processing techniques to understand the input prompts and perform data filtering accordingly.

[0699] Step 4:

[0700] The server returns the generated property list to the terminal. The generated list is structured in a data format such as JSON and returned to the terminal. This output data includes detailed information such as property name, address, and price.

[0701] Step 5:

[0702] The terminal renders visual information in a virtual environment based on property information received from the server. Specifically, it uses VR technology to generate 3D images of the property's interior and presents them to the user. This process allows the user to view details without actually visiting the property.

[0703] Step 6:

[0704] If a user has a question about a property, they send an inquiry to the server via their device. The user enters their specific question using the input field on the device, and that data is sent to the server. For example, a user could ask, "How old is this property?"

[0705] Step 7:

[0706] The server uses an algorithm to instantly generate answers to user questions. To do this, the server retrieves the necessary data from relevant sources and generates the answer. The retrieved data is then sent back to the terminal. For example, an answer such as "It's 5 years old" might be returned.

[0707] Step 8:

[0708] After the user selects a property, the terminal receives support information for contract procedures and financial planning from the server. The server generates the necessary documents for the contract and simulation results for the financial plan, and sends them to the terminal to support the user.

[0709] (Application Example 1)

[0710] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0711] Modern consumers want to choose the best product from a variety of options when purchasing goods, but their selection process is limited by physical travel and time constraints. Furthermore, while they desire immediate access to detailed product information, obtaining this information takes time, delaying their purchase decision. This invention solves these problems, enabling consumers to efficiently and effectively select products and proceed with the purchase process quickly.

[0712] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0713] In this invention, the server includes means for providing an input device for the user to input desired attributes, means for using a data processing device for generating an optimal product list based on the desired attributes, and means for using a display device for presenting visual information in a virtual reality space based on the product list. This enables the user to quickly and intuitively select the optimal product, and to expedite information acquisition and support purchase decision-making while confirming details through virtual reality.

[0714] An "input device" is a device that provides an interface for users to input information to specify the products and attributes they desire.

[0715] A "data processing device" is a device that generates the optimal product list based on the desired attributes entered, and is a processing device that performs complex calculations and analyses.

[0716] A "display device" is a device that visually presents a generated list of products to the user as a virtual reality space.

[0717] An "intelligent agent" is software or a system that has the ability to instantly generate responses to user questions, and uses artificial intelligence technology to acquire information and respond.

[0718] A "support device" is a device that assists with simulations of transaction procedures and fund management, playing a supplementary role in enabling users to smoothly proceed with contracts and commercial transactions.

[0719] "Information sources" refer to multiple databases and online resources from which an intelligent agent obtains the information necessary to generate an answer.

[0720] "Commercial transaction" refers to the act of determining the terms and conditions of a transaction and the entire contractual process for the goods selected by the user.

[0721] The system necessary to implement this invention mainly consists of a server, a terminal, and a user. The terminal provides an interface for the user to input the attributes of the products they wish to purchase. When the user inputs information into the terminal, that data is transmitted to the server via the network. The server uses a generation AI model based on the received attribute information and utilizes a data processing device to generate an optimal list of products.

[0722] The generated product list is sent from the server to the terminal, which then displays visual information in a virtual reality space based on this list. For example, the user can view selected products from a 360-degree perspective. Software such as Unity could be used to generate the virtual reality environment.

[0723] Furthermore, if a user has questions about product details, those questions are sent to the server via the device. The server has the ability to answer these questions immediately through an intelligent agent. The intelligent agent uses technologies such as Google TensorFlow and OpenAI to retrieve data from multiple sources and generate answers in natural language.

[0724] The support device assists users in their purchasing activities through transaction procedures and financial management simulations. For example, it can simulate the price and payment plan of the products selected by the user, and present economical options for purchasing.

[0725] For example, if a user requests a "blue jacket," the server generates a list of products that meet that criteria and sends it to the user's device. The user can then virtually try on the jackets and check the material and dimensions. If the user sends a prompt such as, "What material is this jacket made of?", the intelligent agent will respond, "This jacket is 100% cotton."

[0726] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0727] Step 1:

[0728] The user uses a terminal to input attribute information for the desired product. This input includes product category, color, size, price range, etc. The terminal transmits this information to the server via the network. The entered data is processed by the server as basic data for optimal product search.

[0729] Step 2:

[0730] Based on the received attribute information, the server uses a generative AI model to extract the most suitable product list from the database. This process utilizes machine learning algorithms to analyze the received input data and select appropriate products from the database. The server then returns the resulting product list to the terminal.

[0731] Step 3:

[0732] The terminal uses software such as Unity to visualize products in a virtual reality space based on a product list received from the server. Here, users can view a 360-degree view of the products within the VR environment and examine their details. Furthermore, they can compare and analyze products based on the visualized information.

[0733] Step 4:

[0734] If a user has additional questions about product details or attributes, they send a prompt message to the server via their device. The server uses an intelligent agent to retrieve relevant data from multiple sources and generate an appropriate answer based on that information. The answer is then quickly returned to the user's device.

[0735] Step 5:

[0736] When a user expresses interest in purchasing a product and requires a loan simulation, the system provides support through a dedicated device. The server simulates information regarding product prices and payment plans, presenting the user with the most suitable options. These options help the user navigate the purchase process smoothly.

[0737] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0738] This invention combines an emotion engine with a system that allows users to input their desired conditions and presents appropriate items based on a generative model. Specific embodiments are described below.

[0739] The user enters their desired conditions through the device. This interface incorporates an emotion engine that recognizes the user's emotional state and adapts the displayed content accordingly. As the user enters their conditions, the device analyzes the user's emotional state using voice recognition and camera data.

[0740] The server receives the user's preferences and emotional state, and uses a generative model to generate a list of appropriate items. The emotional engine's information influences the item selection process, adjusting the suggestions according to the user's preferences and mood at the time.

[0741] The generated item list is sent to the terminal and presented to the user as visual information in a virtual reality space. This allows the user to realistically experience the most suitable items according to their emotions.

[0742] Furthermore, if a user asks a question during the tour, the device queries the server, and an artificial intelligence agent generates a response in real time. Based on feedback from the emotion engine, the way the response is given and the way information is presented are individually adjusted.

[0743] For example, if a user enters desired conditions such as "budget under 30 million yen, close to the station, good sunlight," and shows a slightly tired expression, the emotional engine will prioritize suggesting properties with a relaxing living environment. The user can then view these properties through a VR tour and receive responses that prioritize a relaxing environment.

[0744] For the items ultimately selected by the user, the server assists with contract procedures and loan simulations. It is also possible to utilize an emotion engine to adjust explanations of contract terms and procedures to match the user's level of understanding. Thus, this invention realizes efficient item provision and transaction support that takes user emotions into consideration.

[0745] The following describes the processing flow.

[0746] Step 1:

[0747] The user enters their desired property criteria through the terminal's interface. These criteria include budget, location, floor plan, and surrounding environment. While the user is entering their information, the terminal uses its built-in camera and microphone to analyze the user's facial expressions and voice tone using an emotion engine.

[0748] Step 2:

[0749] The device sends the user's desired conditions and emotional state information analyzed by the emotion engine to the server. This transmission is performed using a secure communication protocol.

[0750] Step 3:

[0751] The server receives the user's desired conditions and emotional information, and uses a generative model to create a list of appropriate items based on this information. The generative model takes the user's emotional state into consideration and selects items that are appropriate to the user's psychological state.

[0752] Step 4:

[0753] The server generates an item list and sends it to the terminal. The terminal then uses this list to prepare a virtual reality space, renders the visual information, and presents it to the user.

[0754] Step 5:

[0755] Users view objects in a virtual reality space and input specific questions and inquiries into the terminal's interface. The user's input is continuously sent to an emotion engine for further sentiment analysis.

[0756] Step 6:

[0757] The device sends a question from the user to the server. The server uses an artificial intelligence agent to generate an answer that takes the user's emotional state into account.

[0758] Step 7:

[0759] The server generates a response, which is sent to the terminal, and the terminal displays it to the user. Communication is tailored to the user's emotional state, and information is provided at the appropriate time.

[0760] Step 8:

[0761] If a user decides to proceed with the contract process for the selected item, they will notify the server of their decision via their device.

[0762] Step 9:

[0763] The server provides features to assist with contract procedures and loan simulations. Furthermore, based on feedback from an emotion engine, it adjusts the contract explanation to match the user's level of understanding. This allows users to complete contract procedures without stress.

[0764] (Example 2)

[0765] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0766] Traditional product presentation systems present products based on fixed conditions without considering the user's emotional state or temporary mood, making it highly likely that users would miss truly desirable options. Furthermore, contract procedures and information presentation were often uniform, leading to a lack of user understanding and acceptance. This resulted in a diminished user experience and limited the system's usefulness.

[0767] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0768] In this invention, the server includes means for using a generative model that presents appropriate items according to the user's desired conditions, means for using an emotion engine that analyzes the emotional state and adjusts the selection of items, and means for presenting items as visual information in a virtual reality space. This enables the efficient provision of items that are best suited to the user's emotions and desires, and allows for contract procedures and information provision that are tailored to individual needs.

[0769] A "terminal" is a communication device used by a user to input information or receive visual feedback.

[0770] "Desired conditions" are items that indicate the characteristics and standards that the user desires for a particular item.

[0771] An "emotion engine" is an analysis system that analyzes a user's voice and facial expressions to understand their emotional state.

[0772] A "generative model" is a computational algorithm used to generate the optimal choices or lists based on given input data.

[0773] "Virtual reality space" is a technology that allows users to experience a virtually constructed three-dimensional environment.

[0774] An "artificial intelligence agent" is a program that can autonomously generate responses to user inquiries.

[0775] A "data storage device" is a device or system that stores information for a long period of time and allows it to be retrieved as needed.

[0776] "Contract procedures" refer to the process by which users finalize the necessary agreements regarding the purchase or use of goods and formalize them as official procedures.

[0777] A "loan simulation" is a calculation procedure used to predict how a financial contract or payment plan will proceed based on the user's circumstances.

[0778] This invention is a system that provides goods tailored to the individual needs of users. First, the user inputs their desired conditions using a terminal. The terminal is equipped with voice recognition and a camera, and analyzes the user's voice and facial expressions to infer their emotional state. An emotion engine is used for this analysis.

[0779] The terminal analyzes the desired conditions and emotional state data and sends it to the server. The server uses a generative AI model based on this data to generate a list of appropriate items. In this process, the generative model utilizes prompts to select the items that best match the input conditions and emotional state. A concrete example of a prompt might be input such as, "Budget under 30 million yen, near the station, good sunlight, feeling a little tired."

[0780] The generated item list is sent from the server to the terminal, which then presents it to the user as visual information in a virtual reality space. The user can experience this information through a VR device. Furthermore, if the user has questions during the item selection process, the terminal sends those questions to the server in real time. The server uses an artificial intelligence agent to answer the questions and make adjustments tailored to the user.

[0781] Furthermore, for the items ultimately selected by the user, the server assists with contract procedures and loan simulations. An emotion engine adjusts the explanation of contract terms and procedures according to the user's individual emotions and level of understanding.

[0782] This invention is a system that effectively integrates the user's wishes and feelings, provides the best possible goods, and supports smooth contract procedures.

[0783] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0784] Step 1:

[0785] The user inputs their desired conditions using the device. The device receives these conditions via voice input or touchscreen, while simultaneously capturing the user's facial expressions and voice tone using its built-in camera and microphone. An emotion engine analyzes this data to determine the user's emotional state. The device acquires desired conditions and emotion indicators as input, and generates analyzed emotional state data as output.

[0786] Step 2:

[0787] The terminal analyzes the desired conditions and emotional state data, which is then transmitted to the server via the network. The server receives this data and activates a generative AI model. Here, the desired conditions and emotional state are input to the generative model as prompts, and based on this, a list of items suitable for the user is generated. The input is the emotional state and desired conditions, and the output is the list of items.

[0788] Step 3:

[0789] The server sends the generated list of items to the terminal. The terminal, using a virtual reality-enabled device, presents these items to the user as a visual virtual reality experience. The user then actually sees and selects the items within the VR environment. In this step, the input is the list of items, and the output is the visual information within the VR environment.

[0790] Step 4:

[0791] When a user asks a question while selecting an item, the terminal queries the server in real time. The server uses an artificial intelligence agent to generate the best possible answer based on the user's question and emotional state, and sends it to the terminal. The input is the user's question and emotional state, and the output is the adjusted answer.

[0792] Step 5:

[0793] For the items ultimately selected by the user, the server executes contract procedures and loan simulations. This process utilizes an emotion engine to adjust contract terms based on the user's level of understanding. Inputs are the selected items and the user's emotion data, while output are the adjusted contract terms and loan plan.

[0794] (Application Example 2)

[0795] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0796] In today's world, users are required to select the appropriate goods from a multitude of options, but there is a challenge in receiving optimal suggestions based not only on their desired conditions but also on their emotional state. Furthermore, it is difficult to make appropriate selections without actually inspecting the suggested goods. In addition, there is a problem in that the contract process and loan simulations require adaptation to the individual user's level of understanding and emotional state, but such adaptation is often insufficient.

[0797] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0798] In this invention, the server includes means for providing an interface for the user to input desired conditions and emotional states, means for using a generative model to generate an optimal list of items based on the desired conditions and emotional states, and means for presenting visual information in a virtual reality space based on the list of items, allowing the user to experience items that correspond to their emotions. This makes it possible to suggest items optimized for the user's individual desired conditions and emotions. Furthermore, by analyzing the user's emotional state through an emotion engine and providing appropriate content, a more satisfying selection and an effective contract process can be achieved.

[0799] An "interface" is a window through which users input their desired conditions and emotional states, and is a component of a system that combines ease of use and intuitiveness.

[0800] A "generative model" is an algorithm or program that generates an optimal list of items based on the user's desired conditions and emotional state, and is a means of performing data processing and inference.

[0801] A "virtual reality space" is a virtual environment that users can experience as visual information, and it is a technology that provides a similar sense of space to a physical space.

[0802] An "artificial intelligence agent" is a program or system that responds to user inquiries in real time and adjusts its responses according to the user's emotional state.

[0803] An "emotion engine" is a technology that analyzes a user's emotional state and adjusts the suggested products accordingly. It is a system equipped with emotion recognition and response generation capabilities.

[0804] Comparative analysis is a method of evaluating multiple items and conducting analysis to make the optimal selection; it involves data analysis and processing based on evaluation criteria.

[0805] "Contract procedures" refer to the process of formalizing arrangements after selecting goods, and include tasks such as confirming agreed-upon terms and adjusting conditions.

[0806] "Loan simulation" is a tool that allows users to simulate the funds needed to purchase goods, and it is a function that performs financial calculations and scenario analysis.

[0807] The system for realizing this invention consists of collaboration between a user, a terminal, and a server. The user uses a terminal such as a smartphone or tablet to input desired conditions and emotional states into the interface. The terminal analyzes the user's emotions using speech recognition and camera data and transmits this information to the server. Specifically, emotion recognition libraries such as the Microsoft Azure Face API are used for emotion analysis.

[0808] On the server, a generative AI model is used to generate a list of optimal items based on the user's preferences and emotional state. The generative model utilizes natural language processing engines such as OpenAI GPT, enabling highly accurate recommendations. The generated list of items is sent to the terminal and presented to the user as visual information in a virtual reality space. Software such as Unity and Google VR SDK are used for the VR experience, providing the user with a realistic and immersive experience.

[0809] Furthermore, the server uses an artificial intelligence agent to respond to user inquiries in real time. Since the response is adjusted based on the user's emotional state, it is possible to achieve individually customized interactions. Additionally, by using an emotion engine, the system dynamically adjusts the suggested items according to the user's emotional state.

[0810] For example, if a user enters "apartment within a 5-minute walk from the station, pet-friendly" as their desired conditions and appears somewhat tired, the server will prioritize suggesting properties with relaxing terraces. The user can explore the interior of the property through a VR view and ask the chatbot, "What are the nearby pet facilities?", and facility information will be provided in a tone that takes emotional comfort into consideration. In this way, users can select the most suitable goods and services according to their emotional state.

[0811] An example of a prompt message would be: "Based on the user's specified conditions and emotional state, generate a list of the best properties and provide a VR view. Also, configure the chatbot to provide relaxing answers to questions."

[0812] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0813] Step 1:

[0814] The user inputs their desired conditions and emotional state into the interface using their device. During this process, voice input and camera data are used to analyze the user's facial expressions and tone of voice, extracting their emotional state. Input data includes desired conditions, voice data, and facial image data. This data is analyzed and organized to represent the user's current emotional state.

[0815] Step 2:

[0816] The terminal transmits the analyzed emotional state and desired conditions to the server. Based on the received data, the server uses a generative AI model to generate a list of appropriate items. In this process, the input emotional state and conditions are provided to the generative AI model as prompts, and the model creates the item list. The output is a list of items best suited to the user.

[0817] Step 3:

[0818] The server sends a list of generated items to the terminal. The terminal displays the list of items as visual information in a virtual reality space. Using Unity or the Google VR SDK, the system is set up so that the user can experience the visual information in an immersive way. As output, environment data for the VR experience is provided.

[0819] Step 4:

[0820] As the user experiences a VR browsing of items and enters a question, the device sends that question to the server. The server uses an artificial intelligence agent to generate a real-time response to the question. During this process, individual adjustments are made to reflect the user's emotional state, and the answer is generated as a response. The output data is a personalized response.

[0821] Step 5:

[0822] When a user selects an item, that information is sent to the server. The server then initiates a process to assist with contract terms and loan simulations. It adjusts the information during the process to match the user's understanding and provides a final proposal. The output includes the results of the contract procedures and loan simulations, along with any necessary information.

[0823] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0824] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0825] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0826] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0827] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0828] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0829] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0830] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0831] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0832] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0833] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0834] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0835] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0836] 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.

[0837] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0838] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0839] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0840] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0841] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0842] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0843] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0844] The following is further disclosed regarding the embodiments described above.

[0845] (Claim 1)

[0846] A means of providing an interface for users to input their desired conditions,

[0847] A means of using a generation model to generate the optimal list of items based on the aforementioned desired conditions,

[0848] A means for presenting visual information in a virtual reality space based on the aforementioned list of items,

[0849] A method using an artificial intelligence agent to respond to user inquiries in real time,

[0850] A means for comparing and analyzing multiple items,

[0851] A means to support contract procedures and loan simulations,

[0852] A system that includes this.

[0853] (Claim 2)

[0854] The system according to claim 1, further comprising means for the artificial intelligence agent to obtain information from multiple databases and generate a response.

[0855] (Claim 3)

[0856] The system according to claim 1, further comprising means for determining contract terms and carrying out transaction procedures for items selected by the user.

[0857] "Example 1"

[0858] (Claim 1)

[0859] A means of providing an interface via an information terminal for the user to input desired conditions,

[0860] A means for using an information processing model to generate a list of items based on the aforementioned desired conditions,

[0861] A means for presenting visual information in a virtual environment based on the aforementioned list,

[0862] A method that uses an algorithm to respond immediately to user inquiries,

[0863] Information processing means for comparing and analyzing multiple objects,

[0864] Means of providing support for setting contract terms and evaluating financial plans,

[0865] A system that includes this.

[0866] (Claim 2)

[0867] The system according to claim 1, further comprising means for the algorithm to collect information from multiple sources and generate a response.

[0868] (Claim 3)

[0869] The system according to claim 1, further comprising operations for determining contract terms and conducting commercial transactions for items selected by the user.

[0870] "Application Example 1"

[0871] (Claim 1)

[0872] A means for providing an input device for users to input desired attributes,

[0873] A means of using a data processing device for generating an optimal product list based on the desired attributes,

[0874] A means of using a display device to present visual information in a virtual reality space based on the aforementioned product list,

[0875] A means of using an intelligent agent to respond immediately to user questions,

[0876] A data processing method for comparative analysis of multiple products,

[0877] Means of using support devices to assist with transaction procedures and fund management simulations,

[0878] A system that includes this.

[0879] (Claim 2)

[0880] The system according to claim 1, further comprising data processing means for the intelligent agent to acquire information from a plurality of information sources and generate a response.

[0881] (Claim 3)

[0882] The system according to claim 1, further comprising data processing means for determining the terms of trade for a product selected by the user and for carrying out the procedures for the commercial transaction.

[0883] "Example 2 of combining an emotion engine"

[0884] (Claim 1)

[0885] A method using a terminal for the user to input desired conditions,

[0886] A means of using an emotion engine to analyze emotional states in conjunction with the aforementioned desired conditions,

[0887] A means for using a generative model to generate an optimal list of items based on the aforementioned desired conditions and emotional state,

[0888] A means for presenting the aforementioned list of items to the user as visual information in a virtual reality space,

[0889] A method using an artificial intelligence agent to respond to user inquiries in real time and adjust the content,

[0890] The means to adjust the terms and conditions by conducting contract procedures and loan simulations,

[0891] A system that includes this.

[0892] (Claim 2)

[0893] The system according to claim 1, further comprising means by which the artificial intelligence agent acquires information from multiple data storage devices and generates a response based on feedback from an emotion engine.

[0894] (Claim 3)

[0895] The system according to claim 1, further comprising means for determining contract terms and conducting transaction procedures for items selected by the user via an emotion engine.

[0896] "Application example 2 when combining with an emotional engine"

[0897] (Claim 1)

[0898] A means of providing an interface for users to input their desired conditions and emotional state,

[0899] A means for using a generative model to generate an optimal list of items based on the aforementioned desired conditions and emotional state,

[0900] A means of presenting visual information in a virtual reality space based on the aforementioned list of items, allowing the user to experience items in accordance with their emotions,

[0901] A method using an artificial intelligence agent to respond to user inquiries in real time and adjust responses according to the user's emotional state,

[0902] A means of using an emotion engine that analyzes the user's emotional state and adjusts the suggested items accordingly,

[0903] A means for comparing and analyzing multiple items,

[0904] This includes means for contract procedures, loan simulations, and adjustments tailored to the user's level of understanding.

[0905] A system that includes this.

[0906] (Claim 2)

[0907] The system according to claim 1, further comprising means for the artificial intelligence agent to acquire information from multiple sources, generate a response, and individually adjust it based on emotional state.

[0908] (Claim 3)

[0909] The system according to claim 1, further comprising means for using an emotion engine to adjust contract terms and transaction procedures for items selected by the user. [Explanation of symbols]

[0910] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of providing an interface for users to input their desired conditions, A means of using a generation model to generate the optimal list of items based on the aforementioned desired conditions, A means for presenting visual information in a virtual reality space based on the aforementioned list of items, A method using an artificial intelligence agent to respond to user inquiries in real time, A means for comparing and analyzing multiple items, A means to support contract procedures and loan simulations, A system that includes this.

2. The system according to claim 1, further comprising means for the artificial intelligence agent to obtain information from multiple databases and generate a response.

3. The system according to claim 1, further comprising means for determining contract terms and carrying out transaction procedures for items selected by the user.

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