system

Abstract

We provide the system. [Solution] A means of receiving desired conditions based on user input, A means of accessing the latest real estate information database and searching for property information that matches your desired conditions, Along with the search results, a means of extracting additional information that may be of interest to the user, A means of notifying users of property information and additional information, A means of automatically scheduling viewings based on user selections, A means of sending viewing appointment information to a real estate agent, 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 persona chatbot control method performed by at least one processor, including 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】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 When looking for a rental property, it is difficult to efficiently obtain the latest information, so it aims to solve the problem that users have to compromise on properties that do not fully meet their desired conditions. Also, due to the frequent update of property information, it is an issue to reduce the risk that users miss the latest candidates, and further to reduce the burden on real estate agents by speeding up the viewing reservation. 【Means for Solving the Problems】 【0005】 This invention provides a system that searches for property information based on the user's desired conditions and promptly presents matching properties in conjunction with the latest real estate information database. This system includes means for receiving desired conditions based on user input, means for searching for property information, means for extracting additional information in addition to the search results, means for immediately notifying the user of the acquired information, means for automatically making viewing reservations based on the user's selection, and means for transmitting reservation information to real estate agents. This enables efficient finding of properties that closely match the desired conditions and quick viewing reservation operations, while also reducing the burden on real estate agents. 【0006】 "User" refers to an individual or group that uses the rental property search system to find properties. 【0007】 "Input" refers to the act of a user providing desired conditions or information to the system, or the content of such input. 【0008】 "Desired conditions" refer to the specific features and conditions of a rental property that the user considers ideal. 【0009】 A "real estate information database" is a digital repository that aggregates the latest information on rental properties. 【0010】 "Property information" refers to detailed data about rental properties, such as location, amenities, and price. 【0011】 "Searching method" refers to the process or system function of extracting relevant property information from a real estate information database based on desired conditions. 【0012】 "Additional information" refers to additional property information that is not included in the desired conditions but may be useful or of interest to the user. 【0013】 "Means of notification" refers to the methods and functions by which the system communicates retrieved information and additional information to the user. 【0014】 "Based on selection" means based on the act of a user selecting a specific property from the information presented. 【0015】 "Preview reservation" is a procedure for setting in advance the date and time for actually visiting a property. 【0016】 "Real estate agent" refers to a company or its person in charge that conducts the business of providing rental properties. 【0017】 "Means for transmitting" refers to a process or function for transmitting information to other systems or persons. 【Brief Description of Drawings】 【0018】 [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 a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 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 Embodiment 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined. 【Mode for Carrying Out the Invention】 【0019】 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. 【0020】 First, the terms used in the following description will be explained. 【0021】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), etc. 【0022】 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. 【0023】 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. 【0024】 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). 【0025】 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." 【0026】 [First Embodiment] 【0027】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0028】 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. 【0029】 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). 【0030】 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. 【0031】 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. 【0032】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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. 【0033】 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. 【0034】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0035】 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. 【0036】 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. 【0037】 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. 【0038】 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". 【0039】 This invention provides a rental property search system including a user, a terminal, and a server, which enables efficient searching for rental properties and scheduling viewings. First, the user uses the terminal to input their desired rental property criteria. These criteria include, for example, budget, distance from the station, floor plan, age of the building, and whether pets are allowed. 【0040】 Server Functions 【0041】 The server receives the conditions submitted by the user, analyzes them, and links them with the latest real estate information database. From this database, the server quickly searches for property information that matches the conditions and also extracts additional information that may be of interest to the user. This additional information may include, for example, properties that are very close to a train station or newly built properties with high security, even if they do not meet the specified conditions. 【0042】 The acquired property information and additional details are sent from the server to the terminal and immediately notified to the user. The notification includes detailed information about each property, allowing the user to compare and consider them. 【0043】 User actions 【0044】 Users refer to the property information displayed on their device, select a property they are interested in, and then send an action to the server to request a viewing appointment. 【0045】 Automated viewing appointments 【0046】 The server has a function that automatically schedules property viewings based on the user's selection. This function allows the server to send necessary information to real estate agents, quickly securing viewing dates. The secured viewing appointment information is then notified to the user again via their device. 【0047】 For example, if a user enters conditions such as "rent under 100,000 yen," "within a 10-minute walk from the station," "pets allowed," and "separate bathroom and toilet," the server searches its database for properties that meet these criteria and provides a list with additional information added to the conditions. If the user then selects a property from this list, for example, one with slightly higher rent but better shared facilities, a viewing appointment is automatically scheduled. 【0048】 Thus, the present invention provides a system that allows users to efficiently find properties with favorable conditions without hassle and to quickly make viewing reservations. 【0049】 The following describes the processing flow. 【0050】 Step 1: 【0051】 Users access a property search application using their device and enter their desired criteria. These criteria include desired rent, distance from the station, floor plan, and whether pets are allowed. The device stores the entered criteria as data. 【0052】 Step 2: 【0053】 The terminal sends the user's desired conditions to the server. Once the server receives this information, it begins the condition analysis process. 【0054】 Step 3: 【0055】 Based on the analyzed preferences, the server accesses a real estate database and searches for properties that match the criteria. This search uses database information that is updated in real time, and property availability is verified. 【0056】 Step 4: 【0057】 The server extracts additional information that may be of interest to the user, in addition to the desired conditions. For example, it collects information on properties that are convenient or have unique features, even if they do not meet the specified criteria. 【0058】 Step 5: 【0059】 The server organizes the relevant property information and additional details and sends them to the terminal. On the terminal, this information is displayed in a format that is easy for the user to understand. 【0060】 Step 6: 【0061】 The user selects a property of interest from the displayed list and decides whether they would like to view it. This selection information is then sent back from the terminal to the server. 【0062】 Step 7: 【0063】 The server automatically makes viewing appointments for the properties selected by the user with real estate agents. Once the reservation information is sent to the real estate agents, the viewing dates are secured. 【0064】 Step 8: 【0065】 The server sends confirmation information for the viewing appointment to the terminal, and the terminal notifies the user of the viewing date. This allows the user to view the desired property as soon as possible. 【0066】 (Example 1) 【0067】 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." 【0068】 In modern society, users are required to quickly and appropriately obtain and compare information based on diverse preferences. However, conventional search systems have difficulty providing accurate information based on the preferences entered by users, and in particular, they have a problem in that they cannot effectively present relevant information, especially regarding supplementary information. Furthermore, there is a lack of a mechanism to efficiently manage reservations for selected experiences, which impairs user convenience, and this situation needs to be resolved. 【0069】 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. 【0070】 In this invention, the server includes means for receiving desired conditions based on user input, means for accessing the latest information database and searching for target information that matches the desired conditions, and means for prioritizing and providing relevant similar targets using a generative AI model. As a result, users can not only find information that matches their diverse desired conditions, but also quickly obtain highly relevant information and save time and effort through automated experience reservations. 【0071】 "User" refers to an individual or group that uses the system to obtain information and make selections or actions based on certain conditions. 【0072】 "Desired conditions" refer to specific criteria or requirements that users set for the information they want to obtain through the system. 【0073】 An "information database" refers to a collection or management system of information that a system accesses to obtain the latest information. 【0074】 "Target information" refers to specific information and data extracted from an information database that matches the user's desired conditions. 【0075】 "Additional information" refers to additional information or data obtained in relation to the target information that may be of interest to the user. 【0076】 A "generative AI model" refers to an artificial intelligence algorithm or its application system used to determine relevance and prioritization based on data input. 【0077】 "Experience booking" refers to the booking process that allows users to reserve a date and time to actually visit or try out a product or service of their choice. 【0078】 "Vendors" refers to external professionals or companies involved in experience booking and information provision. 【0079】 The system according to this invention is built around a server, a terminal, and a user. The user first inputs their desired conditions using the terminal. This terminal is equipped with software that accepts user input via a user interface, organizes the input data, and sends it to the server. 【0080】 The server analyzes the received request criteria. The hardware used here includes a high-speed processor and storage system. Based on the request criteria, the server sends queries to the latest information database and efficiently searches for matching information. This database resides on a remote server accessed via the network and is continuously updated in real time. 【0081】 Furthermore, the server utilizes a generative AI model to generate additional information for the target data. The AI ​​model uses machine learning algorithms to analyze items similar to the user's conditions and provides prioritized information. This allows for the efficient presentation of information likely to be of interest to the user. 【0082】 The information transmitted from the server to the terminal includes not only the target information directly selected by the user, but also associated supplementary information. Users can review this information on their terminal and proceed with booking experiences for items of interest. Experience bookings are automatically processed by the server, and the booking information is electronically transmitted to the service provider. 【0083】 For example, if a user enters conditions such as "price under 100,000 yen," "within a 10-minute walk from the location," "pets allowed," and "other facilities available," the server searches for matching information in real time and generates a list with additional information. 【0084】 An example of a prompt that utilizes a generative AI model would be: "Search for rental information based on the specified conditions and generate a sentence that provides relevant additional information." 【0085】 This system allows users to quickly obtain information based on diverse criteria while simultaneously managing the entire process from booking an experience to making a reservation. 【0086】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0087】 Step 1: 【0088】 The user uses a terminal to enter their desired conditions. These conditions include "price under 100,000 yen," "within a 10-minute walk from the location," "pets allowed," and "separate facility location." The terminal receives this input and prepares to send it to the server. Specifically, the terminal parses the data entered through the user interface into JSON format and prepares it for transmission to the server. 【0089】 Step 2: 【0090】 The server receives the user's desired conditions sent from the terminal. It receives data in JSON format as input and parses the desired conditions. As data processing, it converts these conditions into an SQL query and prepares to access the information database. Specifically, the server constructs a database query based on the parsed conditions and starts the process of efficiently searching for the target information. 【0091】 Step 3: 【0092】 The server issues queries to the information database to search for relevant information that matches the user's criteria. It uses SQL queries based on the analyzed criteria as input. As a data calculation, it filters the information within the database and generates a dataset that matches the criteria as output. Specifically, it prioritizes retrieving items that match the criteria from the database and constructs the results. 【0093】 Step 4: 【0094】 The server utilizes a generative AI model to generate additional information related to the acquired target information. Using the target information as input, the AI ​​model calculates the information associated with it. As a data calculation, it calculates prioritized additional information and provides information highly likely to be relevant to the user's conditions as output. Specifically, it runs the AI ​​model and prepares information to present additional valuable data to the user. 【0095】 Step 5: 【0096】 The server sends target information and additional information to the terminal. Based on the input query results and additional information from the AI ​​model, it constructs a data packet and sends information notification to the user terminal as output. Specifically, it encodes the information in HTML format or a format compatible with mobile apps and transfers it to the terminal. 【0097】 Step 6: 【0098】 The user reviews the information displayed on their device and selects an experience reservation for something that interests them. Based on the selected information, the user enters specific dates and other details and sends this information to the server via their device. Specifically, the user enters reservation details through the user interface and presses the reservation confirmation button. 【0099】 Step 7: 【0100】 The server automatically processes user experience booking requests and sends booking information to the service provider. It receives user booking details as input and prepares the booking information for transmission to the partner API. Data processing involves converting the booking information to the service provider's format. Output consists of specific information notifying the user that the booking has been confirmed. The specific operation involves calling the service provider's API, checking the booking status, and then returning the result to the user. 【0101】 (Application Example 1) 【0102】 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." 【0103】 Traditional rental property search systems have several drawbacks: the process of finding properties that meet users' desired criteria is cumbersome, and viewing appointments are made manually, resulting in inefficiency. Furthermore, the lack of automated additional information provision and scheduling of visits leads to low user convenience. 【0104】 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. 【0105】 In this invention, the server includes means for receiving desired conditions via the user's communication terminal, means for accessing an information processing system and searching for location information that matches the desired conditions, and means for extracting additional information that the user may be interested in along with the search results. This allows the user to efficiently obtain desired property information and to quickly and easily make viewing reservations through the automation of visit scheduling. 【0106】 A "user" is an individual or group that uses the system to search for rental properties and make reservations for visits. 【0107】 A "communication terminal" is a digital device used by users to receive rental information and input search criteria. 【0108】 "Desired conditions" refer to the specific attributes or requirements that the user desires regarding a rental property. 【0109】 An "information processing system" is a computer system that accesses a database of rental properties and performs searches based on the user's desired conditions. 【0110】 "Location information" refers to detailed information about rental properties selected based on desired conditions. 【0111】 "Additional information" refers to additional data related to the searched rental property that may be of interest to the user. 【0112】 A "scheduled visit" refers to the agreed-upon time and date set for the user to actually visit and inspect the rental property they have selected. 【0113】 A "trading business operator" is a company or organization that provides or manages rental properties. 【0114】 "Cross-platform" refers to the ability of a single application to function on multiple different operating systems. 【0115】 The system implementing this invention streamlines the process by which users search for properties using a communication terminal and automate the scheduling of visits. A specific embodiment is described below. 【0116】 The server first receives the user's desired conditions from the communication terminal. These conditions include, for example, proximity to public transportation, rent, composition, building age, and whether or not pets are allowed. The server uses an information processing system, specifically a cloud computing platform, to access a database and quickly search for location information that matches these conditions. 【0117】 The search process involves executing scripts using Python or Node.js to perform database searches using SQL queries. For the retrieved property data, an AI algorithm is used to extract potentially interesting additional information and provide it to the user as recommendations. This AI algorithm utilizes a generative AI model. 【0118】 The user's device is equipped with a cross-platform application developed using React Native, which notifies them in real time of additional information along with search results. Upon receiving a notification, the user can select a specific property and automate scheduling a visit. The scheduled visit information is sent from the server to the real estate agent, and scheduling is handled in the backend. 【0119】 For example, if a user enters "pets allowed," "within a 5-minute walk from the station," and "rent under 300,000 yen," the server searches its database for properties that meet these criteria and presents them to the user. At the same time, additional information such as "properties with the latest security systems" is also displayed as recommendations. In this way, by implementing this invention, users can effectively find properties that meet their needs. 【0120】 An example of a prompt message to input into a generative AI model is as follows: 【0121】 "I'm looking for a new apartment that allows pets and is within a 5-minute walk from the station. Properties with the latest security systems are a priority. Could you recommend some properties?" 【0122】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0123】 Step 1: 【0124】 Users enter their desired rental property criteria using a communication terminal. This includes proximity to public transportation, rent, layout, building age, and whether pets are allowed. The entered data is temporarily stored on the communication terminal and prepared for transmission in the next step. 【0125】 Step 2: 【0126】 Communication terminals transmit data by sending the user's entered preferences to a server. This is done via the internet. The server analyzes the received data, converts it into SQL format, and prepares it for database queries. 【0127】 Step 3: 【0128】 The server uses the converted query to access the database via the information processing system. For the search operation, a Python script is used to quickly search for property information that matches the user's desired criteria and retrieve the results. 【0129】 Step 4: 【0130】 The server analyzes property information retrieved from the database using an AI model and generates additional information that users might find interesting. This generation uses a generative AI model to form prompt statements based on the property's characteristics. For example, it might reconstruct the information by adding details such as "a property equipped with the latest security system." 【0131】 Step 5: 【0132】 The server transmits search results and additional information to the communication terminal in real time. The communication terminal receives this information and presents it visually to the user through a React Native application. The user can then compare and select properties based on this information. 【0133】 Step 6: 【0134】 When a user selects a property using their device, that information is sent back to the server. The server automatically generates a visit schedule based on the selected property and sends a confirmation notification to the real estate agent. 【0135】 Step 7: 【0136】 Once a visit is scheduled, the server sends the details to the communication terminal, notifying the user. This allows the user to confirm the scheduled date and time of the visit and make preparations. 【0137】 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. 【0138】 This invention is a rental property search system that incorporates an emotion engine that recognizes the user's emotions and adjusts the search results for rental properties based on those emotions. The user's emotions are inferred from input data, the user's behavioral history, and their reactions at the time of contract signing, and are analyzed by the emotion engine. 【0139】 Server Functions 【0140】 The server receives the user's requested criteria and uses an emotion engine to analyze the user's desired emotional state. Each time the user makes input, the emotion engine detects, for example, the user's stress level or level of curiosity. The detected emotion data influences the property search results, adjusting priorities to suggest properties that match the user's mood. 【0141】 Device functions 【0142】 The terminal receives property information sent from the server and displays it to the user. The displayed information reflects the user's emotional state and includes properties that reduce stress (quiet and comfortable properties) and properties that stimulate curiosity (properties with unique designs). 【0143】 User actions 【0144】 Users can view property information displayed on their device and select properties that interest them. Based on their selections, the emotion engine updates the user's emotions and reflects them in the newly suggested properties. This system not only finds properties that meet the criteria but also provides a better property-finding experience by suggesting properties that match the user's psychological state. 【0145】 Specific example 【0146】 For example, if a user is trying to choose a property that is over budget, the emotion engine might detect that the user is emotionally fatigued. In that case, the emotion engine would adjust its display to prioritize properties with a calm atmosphere that would help the user relax. On the other hand, if the user is feeling exhilarated, it would prioritize properties with an open design or innovative features, thus changing the displayed content according to the user's emotions. 【0147】 Thus, the present invention provides a system that enables the suggestion of optimal rental properties that take into account the user's psychological state. 【0148】 The following describes the processing flow. 【0149】 Step 1: 【0150】 The user accesses the property search application from their device and enters their desired criteria. These criteria include a wide range of factors such as rent, distance from the station, floor plan, and whether pets are allowed. The device then prepares to send this information to the server. 【0151】 Step 2: 【0152】 The device sends user input data to an emotion engine for emotion analysis. The emotion engine infers the user's current emotional state based on their input and past selection history. 【0153】 Step 3: 【0154】 The server receives the user's desired conditions and sentiment data from the sentiment engine. Based on this, the server accesses the real estate information database and searches for properties that match the conditions. 【0155】 Step 4: 【0156】 The server adjusts the display priority of properties in search results based on sentiment data. For example, if a user indicates they want to relax, it will prioritize quiet and calming properties. 【0157】 Step 5: 【0158】 The server sends the adjusted search results to the terminal. The terminal displays this information to the user, providing it in a format that is easy to adapt. 【0159】 Step 6: 【0160】 Users select properties of interest from those displayed and then request more detailed information based on their selections. 【0161】 Step 7: 【0162】 The terminal sends the user's selection to the server and updates the sentiment engine's sentiment data. If necessary, the server sends information to the real estate agent to initiate the viewing reservation process. 【0163】 Step 8: 【0164】 The server sends information to the terminal once a viewing reservation is confirmed. The terminal notifies the user of the reservation details and provides an opportunity to confirm the viewing schedule. 【0165】 This series of processes allows users to efficiently find properties that suit their needs and emotions, resulting in a more satisfying property search. 【0166】 (Example 2) 【0167】 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 will be referred to as the "terminal." 【0168】 Conventional rental property search systems often fail to take into account the user's emotions and psychological state, making it difficult for users to find truly suitable properties. Because properties are not suggested in a way that aligns with the user's mood and psychological needs, it's difficult to provide a highly satisfying property search experience. 【0169】 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. 【0170】 In this invention, the server includes means for receiving desired conditions based on user input, means for analyzing the user's emotional state using a generation AI model and adjusting the priority of property information based on the analysis results, and means for updating the emotional state based on the property selected by the user and reflecting it in the next suggestion. This makes it possible to suggest properties that take into account the user's emotions and psychological state. 【0171】 "Users" refers to individuals who use this system to search for and select rental properties. 【0172】 "Desired conditions" refer to the characteristics and specifications that users look for in a rental property, and examples include distance from public transportation and rent. 【0173】 A "generative AI model" is a model that uses artificial intelligence technology to analyze a user's emotional state. 【0174】 "Emotional state" refers to a numerical or descriptive representation of a user's psychological or emotional state, and includes emotions such as stress and happiness. 【0175】 "Property information" refers to detailed data about rental properties, specifically including information such as location, rent, and floor plan. 【0176】 This refers to "priority," representing property information and indicating the order in which it is displayed, determined by criteria or algorithms. 【0177】 A "viewing reservation" refers to a reservation for a date and time for a user to actually visit and inspect a specific rental property. 【0178】 A "real estate agent" refers to a company or business that manages or brokers rental properties. 【0179】 This invention is a rental property search system that takes into account the user's emotional state, and a specific embodiment thereof is described below. 【0180】 Server Functions 【0181】 The server has the function of receiving the desired conditions entered by the user. This process uses a server machine equipped with a high-performance processor and a database management system (e.g., MySQL®, PostgreSQL). Based on the received data, a generative AI model is used to analyze the user's emotional state. In the emotional analysis, natural language processing technology is used to analyze psychological elements such as the user's stress and curiosity. As a result, the server adjusts the priority of property information based on the user's latest emotional state. 【0182】 Device functions 【0183】 The terminal receives property information sent from the server and displays it to the user. The property information is displayed visually through a user interface, supported by front-end frameworks such as React and Vue.js. The terminal also plays a role in feeding back the user's property selection to the server. 【0184】 User actions 【0185】 Users select properties they are interested in based on the property information displayed on their device. The selected data is sent to the server, and the generated AI model updates its emotional state based on this data, reflecting it in the next property recommendations. 【0186】 Specific example 【0187】 For example, if a user tends to choose high-priced properties, the server, via its emotion engine, recognizes that the user is fatigued and prioritizes properties that emphasize relaxation. Conversely, if the user is judged to be excited, properties with unique designs will be suggested. 【0188】 Example of a prompt 【0189】 "Based on the sentiment analysis results, please create a list of properties that are best suited to the user." 【0190】 "Generate a new search query based on the current user sentiment." 【0191】 This system enables personalized property recommendations that take into account the user's emotional state, providing a more comfortable property search experience for the user. 【0192】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0193】 Step 1: 【0194】 The server receives user-submitted preferences as input. These preferences include location, maximum rent, floor plan, and whether pets are allowed. This receiving process is achieved by the server retrieving data sent from the frontend via an API and storing it in a database. 【0195】 Step 2: 【0196】 The server uses a generative AI model to analyze the user's emotional state, taking the received request conditions and past user behavior history as input. The input data is analyzed using natural language processing techniques to quantify the user's stress level, curiosity, and other factors. Specifically, it calculates an emotional score from the analysis results and adjusts the search algorithm based on this score. 【0197】 Step 3: 【0198】 The server accesses a geographic location database to search for property information based on the analyzed emotional state and desired conditions. It generates an SQL query and iterates through the database to retrieve a list of properties that match the criteria. The retrieved property information is then prioritized in relation to the emotional state. 【0199】 Step 4: 【0200】 The server sends prioritized property information as output to the terminal. This transmission is achieved by transferring formatted JSON data to the terminal using the HTTP protocol. Property information is then organized to suit the user's preferences and prepared for visual display. 【0201】 Step 5: 【0202】 The terminal receives property information as JSON data sent from the server and displays it to the user. The front-end application parses the received data and uses UI components to visually render the information in the form of lists, cards, etc. 【0203】 Step 6: 【0204】 Users view property information displayed on their devices and select properties that interest them. This selection is made by the user pressing a select button, and the data is sent back to the server. The selection results are used as input data for updating the user's emotional state. 【0205】 Step 7: 【0206】 The server uses a generative AI model to reanalyze the user's emotional state based on their property selection. In this step, the selection data is processed by the emotion engine, and a new emotion score is calculated. This new data is then used to inform the next property presentation, and this process is repeated. 【0207】 (Application Example 2) 【0208】 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". 【0209】 Current rental property search systems simply provide property information based on entered preferences without considering the user's psychological needs. This makes it difficult to suggest properties that are best suited to the user's stress levels and interests, leading to decreased satisfaction with the property search. Furthermore, it is difficult for users to obtain information in a way that is easy to experience firsthand. 【0210】 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. 【0211】 In this invention, the server includes means for receiving desired conditions based on user input, means for accessing the latest real estate information database and searching for facility information that matches the desired conditions, and means for analyzing the user's emotional state and adjusting the search results based on those emotions. This enables users to efficiently obtain optimal property information tailored to their emotions and improve their satisfaction with property searching through an immersive experience. 【0212】 "User input" refers to the conditions and preferences that users provide when searching for rental properties. 【0213】 "Desired conditions" refer to the specific criteria or requirements that users have for rental properties, and searches are conducted based on these. 【0214】 A "real estate information database" is a collection of digital data that stores detailed information about rental properties. 【0215】 "Emotional state" refers to the psychological reactions and emotional states that users exhibit when searching for properties, and this is used to adjust the search results. 【0216】 A "means of dialogue" refers to a technical means by which users and systems exchange information and communicate with each other. 【0217】 "Display means" refers to technical means for visually presenting property information and showing it to users. 【0218】 A "robot device" refers to an automated device designed to provide property information and interact with users. 【0219】 The system for carrying out this invention includes a program that receives desired conditions based on user input, accesses a property information database to search for facility information that matches the conditions, and analyzes the user's emotional state. For emotional state analysis, a robotic device equipped with a camera and microphone is used to capture video and audio data. The server uses the Python libraries "OpenCV" and "TENSORFLOW®" to analyze the user's emotions in real time from the acquired data and adjusts the search results based on the emotions. 【0220】 Subsequently, property information is displayed on the room's walls using projection mapping to optimize the search results for the user. This allows the user to visually experience the property's details. 【0221】 For example, if a user wants to relax after a busy day at work, the robotic device will read their emotions and prioritize presenting properties with a quiet and calming atmosphere. The suggestions to the user are delivered through automated dialogue. 【0222】 Examples of prompts for a generative AI model: 【0223】 "How can we suggest the best property to a user when they are feeling stressed?" 【0224】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0225】 Step 1: 【0226】 The server receives the user's desired conditions via their terminal. These conditions include location, floor plan, rent, etc. Based on these input conditions, the server starts filtering the database to find suitable candidate properties. 【0227】 Step 2: 【0228】 Using the robot device's camera and microphone, the server captures the user's facial expressions and voice. This data is analyzed using OpenCV and TensorFlow to determine the user's emotional state. The results of this analysis are then output as emotion data used in a further filtering process. 【0229】 Step 3: 【0230】 The server re-evaluates the initially filtered property information based on the analyzed sentiment data. It processes the data to match the user's emotional state, adjusting search results accordingly—for example, displaying quiet properties when stressed, or properties with unique designs when excited. This results in optimized search results. 【0231】 Step 4: 【0232】 The adjusted search results are displayed in the user's field of view via projection mapping through a robotic device. Using interactive projection technology, users can experience the property through visual information. 【0233】 Step 5: 【0234】 When a user expresses interest in a property and selects it, it is sent to the server as new data input, and an automated viewing reservation process is initiated. Here, the selected property information is retrieved, used to share the reservation information with the real estate agent, and the user is notified of the result. 【0235】 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. 【0236】 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. 【0237】 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. 【0238】 [Second Embodiment] 【0239】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0240】 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. 【0241】 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). 【0242】 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. 【0243】 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. 【0244】 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). 【0245】 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. 【0246】 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. 【0247】 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. 【0248】 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. 【0249】 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. 【0250】 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". 【0251】 This invention provides a rental property search system including a user, a terminal, and a server, which enables efficient searching for rental properties and scheduling viewings. First, the user uses the terminal to input their desired rental property criteria. These criteria include, for example, budget, distance from the station, floor plan, age of the building, and whether pets are allowed. 【0252】 Server Functions 【0253】 The server receives the conditions submitted by the user, analyzes them, and links them with the latest real estate information database. From this database, the server quickly searches for property information that matches the conditions and also extracts additional information that may be of interest to the user. This additional information may include, for example, properties that are very close to a train station or newly built properties with high security, even if they do not meet the specified conditions. 【0254】 The acquired property information and additional details are sent from the server to the terminal and immediately notified to the user. The notification includes detailed information about each property, allowing the user to compare and consider them. 【0255】 User actions 【0256】 Users refer to the property information displayed on their device, select a property they are interested in, and then send an action to the server to request a viewing appointment. 【0257】 Automated viewing appointments 【0258】 The server has a function that automatically schedules property viewings based on the user's selection. This function allows the server to send necessary information to real estate agents, quickly securing viewing dates. The secured viewing appointment information is then notified to the user again via their device. 【0259】 For example, if a user enters conditions such as "rent under 100,000 yen," "within a 10-minute walk from the station," "pets allowed," and "separate bathroom and toilet," the server searches its database for properties that meet these criteria and provides a list with additional information added to the conditions. If the user then selects a property from this list, for example, one with slightly higher rent but better shared facilities, a viewing appointment is automatically scheduled. 【0260】 Thus, the present invention provides a system that allows users to efficiently find properties with favorable conditions without hassle and to quickly make viewing reservations. 【0261】 The following describes the processing flow. 【0262】 Step 1: 【0263】 Users access a property search application using their device and enter their desired criteria. These criteria include desired rent, distance from the station, floor plan, and whether pets are allowed. The device stores the entered criteria as data. 【0264】 Step 2: 【0265】 The terminal sends the user's desired conditions to the server. Once the server receives this information, it begins the condition analysis process. 【0266】 Step 3: 【0267】 Based on the analyzed preferences, the server accesses a real estate database and searches for properties that match the criteria. This search uses database information that is updated in real time, and property availability is verified. 【0268】 Step 4: 【0269】 The server extracts additional information that may be of interest to the user, in addition to the desired conditions. For example, it collects information on properties that are convenient or have unique features, even if they do not meet the specified criteria. 【0270】 Step 5: 【0271】 The server organizes the relevant property information and additional details and sends them to the terminal. On the terminal, this information is displayed in a format that is easy for the user to understand. 【0272】 Step 6: 【0273】 The user selects a property of interest from the displayed list and decides whether they would like to view it. This selection information is then sent back from the terminal to the server. 【0274】 Step 7: 【0275】 The server automatically makes viewing appointments for the properties selected by the user with real estate agents. Once the reservation information is sent to the real estate agents, the viewing dates are secured. 【0276】 Step 8: 【0277】 The server sends confirmation information for the viewing appointment to the terminal, and the terminal notifies the user of the viewing date. This allows the user to view the desired property as soon as possible. 【0278】 (Example 1) 【0279】 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." 【0280】 In modern society, users are required to quickly and appropriately obtain and compare information based on diverse preferences. However, conventional search systems have difficulty providing accurate information based on the preferences entered by users, and in particular, they have a problem in that they cannot effectively present relevant information, especially regarding supplementary information. Furthermore, there is a lack of a mechanism to efficiently manage reservations for selected experiences, which impairs user convenience, and this situation needs to be resolved. 【0281】 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. 【0282】 In this invention, the server includes means for receiving desired conditions based on the user's input, means for accessing the latest information database and searching for target information that meets the desired conditions, and means for prioritizing and providing relevant similar targets using a generation AI model. As a result, the user can not only meet various desired conditions, but also quickly obtain highly relevant information, and further save time and effort through automated experience reservations. 【0283】 The "user" refers to an individual or group who uses the system to obtain information and make selections or operations based on conditions. 【0284】 The "desired conditions" refer to specific criteria or requirements set for the information that the user wants to obtain through the system. 【0285】 The "information database" refers to a collection of information or a management system used by the system to access and obtain the latest information. 【0286】 The "target information" refers to specific information or data extracted from the information database that meets the user's desired conditions. 【0287】 The "additional information" refers to additional information or data that is obtained in relation to the target information and that the user may be interested in. 【0288】 The "generation AI model" refers to an artificial intelligence algorithm or its application system used to perform relevance and prioritization based on data input. 【0289】 The "experience reservation" refers to the reservation process for ensuring a schedule so that the user can actually visit or try out the selected target. 【0290】 The "business operator" refers to an external professional or company involved in experience reservation and information provision. 【0291】 The system according to this invention is built around a server, a terminal, and a user. The user first inputs their desired conditions using the terminal. This terminal is equipped with software that accepts user input via a user interface, organizes the input data, and sends it to the server. 【0292】 The server analyzes the received request criteria. The hardware used here includes a high-speed processor and storage system. Based on the request criteria, the server sends queries to the latest information database and efficiently searches for matching information. This database resides on a remote server accessed via the network and is continuously updated in real time. 【0293】 Furthermore, the server utilizes a generative AI model to generate additional information for the target data. The AI ​​model uses machine learning algorithms to analyze items similar to the user's conditions and provides prioritized information. This allows for the efficient presentation of information likely to be of interest to the user. 【0294】 The information transmitted from the server to the terminal includes not only the target information directly selected by the user, but also associated supplementary information. Users can review this information on their terminal and proceed with booking experiences for items of interest. Experience bookings are automatically processed by the server, and the booking information is electronically transmitted to the service provider. 【0295】 For example, if a user enters conditions such as "price under 100,000 yen," "within a 10-minute walk from the location," "pets allowed," and "other facilities available," the server searches for matching information in real time and generates a list with additional information. 【0296】 An example of a prompt that utilizes a generative AI model would be: "Search for rental information based on the specified conditions and generate a sentence that provides relevant additional information." 【0297】 This system allows users to quickly obtain information based on diverse criteria while simultaneously managing the entire process from booking an experience to making a reservation. 【0298】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0299】 Step 1: 【0300】 The user uses a terminal to enter their desired conditions. These conditions include "price under 100,000 yen," "within a 10-minute walk from the location," "pets allowed," and "separate facility location." The terminal receives this input and prepares to send it to the server. Specifically, the terminal parses the data entered through the user interface into JSON format and prepares it for transmission to the server. 【0301】 Step 2: 【0302】 The server receives the user's desired conditions sent from the terminal. It receives data in JSON format as input and parses the desired conditions. As data processing, it converts these conditions into an SQL query and prepares to access the information database. Specifically, the server constructs a database query based on the parsed conditions and starts the process of efficiently searching for the target information. 【0303】 Step 3: 【0304】 The server issues queries to the information database to search for relevant information that matches the user's criteria. It uses SQL queries based on the analyzed criteria as input. As a data calculation, it filters the information within the database and generates a dataset that matches the criteria as output. Specifically, it prioritizes retrieving items that match the criteria from the database and constructs the results. 【0305】 Step 4: 【0306】 The server utilizes a generative AI model to generate additional information related to the acquired target information. Using the target information as input, the AI model calculates the information associated with it. As a data operation, it calculates the prioritized additional information and provides, as output, information highly likely to be related to the user's conditions. As a specific operation, it executes the AI model and prepares information for presenting additional valuable data to the user. 【0307】 Step 5: 【0308】 The server transmits the target information and the additional information to the terminal. Based on the input query results and the additional information from the AI model, it constructs data packets and, as output, notifies the user terminal of the information. As a specific operation, it encodes the information in HTML format or a format compatible with mobile apps and transfers it to the terminal. 【0309】 Step 6: 【0310】 The user checks the information displayed on the terminal and selects an experience reservation for the target of interest. The user inputs specific schedules, etc. based on the selected information and transmits that information to the server via the terminal. As a specific operation, the user inputs reservation details through the user interface and presses the reservation confirmation button. 【0311】 Step 7: 【0312】 The server automatically processes the user's experience reservation request and transmits the reservation information to the merchant. Receiving the user's reservation details as input, it prepares to transmit the reservation information to the partner API. As data processing, it converts the reservation information to match the merchant's format. As output, it constructs specific information to notify the user that the reservation has been confirmed. As a specific operation, it calls the merchant API, checks the reservation status, and then returns the result to the user. 【0313】 (Application Example 1) 【0314】 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." 【0315】 Traditional rental property search systems have several drawbacks: the process of finding properties that meet users' desired criteria is cumbersome, and viewing appointments are made manually, resulting in inefficiency. Furthermore, the lack of automated additional information provision and scheduling of visits leads to low user convenience. 【0316】 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. 【0317】 In this invention, the server includes means for receiving desired conditions via the user's communication terminal, means for accessing an information processing system and searching for location information that matches the desired conditions, and means for extracting additional information that the user may be interested in along with the search results. This allows the user to efficiently obtain desired property information and to quickly and easily make viewing reservations through the automation of visit scheduling. 【0318】 A "user" is an individual or group that uses the system to search for rental properties and make reservations for visits. 【0319】 A "communication terminal" is a digital device used by users to receive rental information and input search criteria. 【0320】 "Desired conditions" refer to the specific attributes or requirements that the user desires regarding a rental property. 【0321】 An "information processing system" is a computer system that accesses a database of rental properties and performs searches based on the user's desired conditions. 【0322】 "Location information" refers to detailed information about rental properties selected based on desired conditions. 【0323】 "Additional information" refers to additional data related to the searched rental property that may be of interest to the user. 【0324】 A "scheduled visit" refers to the agreed-upon time and date set for the user to actually visit and inspect the rental property they have selected. 【0325】 A "trading business operator" is a company or organization that provides or manages rental properties. 【0326】 "Cross-platform" refers to the ability of a single application to function on multiple different operating systems. 【0327】 The system implementing this invention streamlines the process by which users search for properties using a communication terminal and automate the scheduling of visits. A specific embodiment is described below. 【0328】 The server first receives the user's desired conditions from the communication terminal. These conditions include, for example, proximity to public transportation, rent, composition, building age, and whether or not pets are allowed. The server uses an information processing system, specifically a cloud computing platform, to access a database and quickly search for location information that matches these conditions. 【0329】 The search process involves executing scripts using Python or Node.js to perform database searches using SQL queries. For the retrieved property data, an AI algorithm is used to extract potentially interesting additional information and provide it to the user as recommendations. This AI algorithm utilizes a generative AI model. 【0330】 The user's device is equipped with a cross-platform application developed using React Native, which notifies them in real time of additional information along with search results. Upon receiving a notification, the user can select a specific property and automate scheduling a visit. The scheduled visit information is sent from the server to the real estate agent, and scheduling is handled in the backend. 【0331】 For example, if a user enters "pets allowed," "within a 5-minute walk from the station," and "rent under 300,000 yen," the server searches its database for properties that meet these criteria and presents them to the user. At the same time, additional information such as "properties with the latest security systems" is also displayed as recommendations. In this way, by implementing this invention, users can effectively find properties that meet their needs. 【0332】 An example of a prompt message to input into a generative AI model is as follows: 【0333】 "I'm looking for a new apartment that allows pets and is within a 5-minute walk from the station. Properties with the latest security systems are a priority. Could you recommend some properties?" 【0334】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0335】 Step 1: 【0336】 Users enter their desired rental property criteria using a communication terminal. This includes proximity to public transportation, rent, layout, building age, and whether pets are allowed. The entered data is temporarily stored on the communication terminal and prepared for transmission in the next step. 【0337】 Step 2: 【0338】 Communication terminals transmit data by sending the user's entered preferences to a server. This is done via the internet. The server analyzes the received data, converts it into SQL format, and prepares it for database queries. 【0339】 Step 3: 【0340】 The server uses the converted query to access the database via the information processing system. For the search operation, a Python script is used to quickly search for property information that matches the user's desired criteria and retrieve the results. 【0341】 Step 4: 【0342】 The server analyzes property information retrieved from the database using an AI model and generates additional information that users might find interesting. This generation uses a generative AI model to form prompt statements based on the property's characteristics. For example, it might reconstruct the information by adding details such as "a property equipped with the latest security system." 【0343】 Step 5: 【0344】 The server transmits search results and additional information to the communication terminal in real time. The communication terminal receives this information and presents it visually to the user through a React Native application. The user can then compare and select properties based on this information. 【0345】 Step 6: 【0346】 When a user selects a property using their device, that information is sent back to the server. The server automatically generates a visit schedule based on the selected property and sends a confirmation notification to the real estate agent. 【0347】 Step 7: 【0348】 Once a visit is scheduled, the server sends the details to the communication terminal, notifying the user. This allows the user to confirm the scheduled date and time of the visit and make preparations. 【0349】 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. 【0350】 This invention is a rental property search system that incorporates an emotion engine that recognizes the user's emotions and adjusts the search results for rental properties based on those emotions. The user's emotions are inferred from input data, the user's behavioral history, and their reactions at the time of contract signing, and are analyzed by the emotion engine. 【0351】 Server Functions 【0352】 The server receives the user's requested criteria and uses an emotion engine to analyze the user's desired emotional state. Each time the user makes input, the emotion engine detects, for example, the user's stress level or level of curiosity. The detected emotion data influences the property search results, adjusting priorities to suggest properties that match the user's mood. 【0353】 Device functions 【0354】 The terminal receives property information sent from the server and displays it to the user. The displayed information reflects the user's emotional state and includes properties that reduce stress (quiet and comfortable properties) and properties that stimulate curiosity (properties with unique designs). 【0355】 User actions 【0356】 Users can view property information displayed on their device and select properties that interest them. Based on their selections, the emotion engine updates the user's emotions and reflects them in the newly suggested properties. This system not only finds properties that meet the criteria but also provides a better property-finding experience by suggesting properties that match the user's psychological state. 【0357】 Specific example 【0358】 For example, if a user is trying to choose a property that is over budget, the emotion engine might detect that the user is emotionally fatigued. In that case, the emotion engine would adjust its display to prioritize properties with a calm atmosphere that would help the user relax. On the other hand, if the user is feeling exhilarated, it would prioritize properties with an open design or innovative features, thus changing the displayed content according to the user's emotions. 【0359】 Thus, the present invention provides a system that enables the suggestion of optimal rental properties that take into account the user's psychological state. 【0360】 The following describes the processing flow. 【0361】 Step 1: 【0362】 The user accesses the property search application from their device and enters their desired criteria. These criteria include a wide range of factors such as rent, distance from the station, floor plan, and whether pets are allowed. The device then prepares to send this information to the server. 【0363】 Step 2: 【0364】 The device sends user input data to an emotion engine for emotion analysis. The emotion engine infers the user's current emotional state based on their input and past selection history. 【0365】 Step 3: 【0366】 The server receives the user's desired conditions and sentiment data from the sentiment engine. Based on this, the server accesses the real estate information database and searches for properties that match the conditions. 【0367】 Step 4: 【0368】 The server adjusts the display priority of properties in search results based on sentiment data. For example, if a user indicates they want to relax, it will prioritize quiet and calming properties. 【0369】 Step 5: 【0370】 The server sends the adjusted search results to the terminal. The terminal displays this information to the user, providing it in a format that is easy to adapt. 【0371】 Step 6: 【0372】 Users select properties of interest from those displayed and then request more detailed information based on their selections. 【0373】 Step 7: 【0374】 The terminal sends the user's selection to the server and updates the sentiment engine's sentiment data. If necessary, the server sends information to the real estate agent to initiate the viewing reservation process. 【0375】 Step 8: 【0376】 The server sends information to the terminal once a viewing reservation is confirmed. The terminal notifies the user of the reservation details and provides an opportunity to confirm the viewing schedule. 【0377】 This series of processes allows users to efficiently find properties that suit their needs and emotions, resulting in a more satisfying property search. 【0378】 (Example 2) 【0379】 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". 【0380】 Conventional rental property search systems often fail to take into account the user's emotions and psychological state, making it difficult for users to find truly suitable properties. Because properties are not suggested in a way that aligns with the user's mood and psychological needs, it's difficult to provide a highly satisfying property search experience. 【0381】 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. 【0382】 In this invention, the server includes means for receiving desired conditions based on user input, means for analyzing the user's emotional state using a generation AI model and adjusting the priority of property information based on the analysis results, and means for updating the emotional state based on the property selected by the user and reflecting it in the next suggestion. This makes it possible to suggest properties that take into account the user's emotions and psychological state. 【0383】 "Users" refers to individuals who use this system to search for and select rental properties. 【0384】 "Desired conditions" refer to the characteristics and specifications that users look for in a rental property, and examples include distance from public transportation and rent. 【0385】 A "generative AI model" is a model that uses artificial intelligence technology to analyze a user's emotional state. 【0386】 "Emotional state" refers to a numerical or descriptive representation of a user's psychological or emotional state, and includes emotions such as stress and happiness. 【0387】 "Property information" refers to detailed data about rental properties, specifically including information such as location, rent, and floor plan. 【0388】 This refers to "priority," representing property information and indicating the order in which it is displayed, determined by criteria or algorithms. 【0389】 A "viewing reservation" refers to a reservation for a date and time for a user to actually visit and inspect a specific rental property. 【0390】 A "real estate agent" refers to a company or business that manages or brokers rental properties. 【0391】 This invention is a rental property search system that takes into account the user's emotional state, and a specific embodiment thereof is described below. 【0392】 Server Functions 【0393】 The server has the function of receiving the desired conditions entered by the user. This process uses a server machine equipped with a high-performance processor and a database management system (e.g., MySQL, PostgreSQL). Based on the received data, a generative AI model is used to analyze the user's emotional state. In the emotional analysis, natural language processing technology is used to analyze psychological elements such as the user's stress and curiosity. As a result, the server adjusts the priority of property information based on the user's latest emotional state. 【0394】 Device functions 【0395】 The terminal receives property information sent from the server and displays it to the user. The property information is displayed visually through a user interface, supported by front-end frameworks such as React and Vue.js. The terminal also plays a role in feeding back the user's property selection to the server. 【0396】 User actions 【0397】 Users select properties they are interested in based on the property information displayed on their device. The selected data is sent to the server, and the generated AI model updates its emotional state based on this data, reflecting it in the next property recommendations. 【0398】 Specific example 【0399】 For example, if a user tends to choose high-priced properties, the server, via its emotion engine, recognizes that the user is fatigued and prioritizes properties that emphasize relaxation. Conversely, if the user is judged to be excited, properties with unique designs will be suggested. 【0400】 Example of a prompt 【0401】 "Based on the sentiment analysis results, please create a list of properties that are best suited to the user." 【0402】 "Generate a new search query based on the current user sentiment." 【0403】 This system enables personalized property recommendations that take into account the user's emotional state, providing a more comfortable property search experience for the user. 【0404】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0405】 Step 1: 【0406】 The server receives user-submitted preferences as input. These preferences include location, maximum rent, floor plan, and whether pets are allowed. This receiving process is achieved by the server retrieving data sent from the frontend via an API and storing it in a database. 【0407】 Step 2: 【0408】 The server uses a generative AI model to analyze the user's emotional state, taking the received request conditions and past user behavior history as input. The input data is analyzed using natural language processing techniques to quantify the user's stress level, curiosity, and other factors. Specifically, it calculates an emotional score from the analysis results and adjusts the search algorithm based on this score. 【0409】 Step 3: 【0410】 The server accesses a geographic location database to search for property information based on the analyzed emotional state and desired conditions. It generates an SQL query and iterates through the database to retrieve a list of properties that match the criteria. The retrieved property information is then prioritized in relation to the emotional state. 【0411】 Step 4: 【0412】 The server sends prioritized property information as output to the terminal. This transmission is achieved by transferring formatted JSON data to the terminal using the HTTP protocol. Property information is then organized to suit the user's preferences and prepared for visual display. 【0413】 Step 5: 【0414】 The terminal receives property information as JSON data sent from the server and displays it to the user. The front-end application parses the received data and uses UI components to visually render the information in the form of lists, cards, etc. 【0415】 Step 6: 【0416】 Users view property information displayed on their devices and select properties that interest them. This selection is made by the user pressing a select button, and the data is sent back to the server. The selection results are used as input data for updating the user's emotional state. 【0417】 Step 7: 【0418】 The server uses a generative AI model to reanalyze the user's emotional state based on their property selection. In this step, the selection data is processed by the emotion engine, and a new emotion score is calculated. This new data is then used to inform the next property presentation, and this process is repeated. 【0419】 (Application Example 2) 【0420】 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." 【0421】 Current rental property search systems simply provide property information based on entered preferences without considering the user's psychological needs. This makes it difficult to suggest properties that are best suited to the user's stress levels and interests, leading to decreased satisfaction with the property search. Furthermore, it is difficult for users to obtain information in a way that is easy to experience firsthand. 【0422】 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. 【0423】 In this invention, the server includes means for receiving desired conditions based on user input, means for accessing the latest real estate information database and searching for facility information that matches the desired conditions, and means for analyzing the user's emotional state and adjusting the search results based on those emotions. This enables users to efficiently obtain optimal property information tailored to their emotions and improve their satisfaction with property searching through an immersive experience. 【0424】 "User input" refers to the conditions and preferences that users provide when searching for rental properties. 【0425】 "Desired conditions" refer to the specific criteria or requirements that users have for rental properties, and searches are conducted based on these. 【0426】 A "real estate information database" is a collection of digital data that stores detailed information about rental properties. 【0427】 "Emotional state" refers to the psychological reactions and emotional states that users exhibit when searching for properties, and this is used to adjust the search results. 【0428】 A "means of dialogue" refers to a technical means by which users and systems exchange information and communicate with each other. 【0429】 "Display means" refers to technical means for visually presenting property information and showing it to users. 【0430】 A "robot device" refers to an automated device designed to provide property information and interact with users. 【0431】 The system for carrying out this invention includes a program that receives desired conditions based on user input, accesses a property information database to search for facility information that matches the conditions, and analyzes the user's emotional state. For emotional state analysis, a robotic device equipped with a camera and microphone is used to capture video and audio data. The server uses the Python libraries "OpenCV" and "TensorFlow" to analyze the user's emotions in real time from the acquired data and adjusts the search results based on the emotions. 【0432】 Subsequently, property information is displayed on the room's walls using projection mapping to optimize the search results for the user. This allows the user to visually experience the property's details. 【0433】 For example, if a user wants to relax after a busy day at work, the robotic device will read their emotions and prioritize presenting properties with a quiet and calming atmosphere. The suggestions to the user are delivered through automated dialogue. 【0434】 Examples of prompts for a generative AI model: 【0435】 "How can we suggest the best property to a user when they are feeling stressed?" 【0436】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0437】 Step 1: 【0438】 The server receives the user's desired conditions via their terminal. These conditions include location, floor plan, rent, etc. Based on these input conditions, the server starts filtering the database to find suitable candidate properties. 【0439】 Step 2: 【0440】 Using the robot device's camera and microphone, the server captures the user's facial expressions and voice. This data is analyzed using OpenCV and TensorFlow to determine the user's emotional state. The results of this analysis are then output as emotion data used in a further filtering process. 【0441】 Step 3: 【0442】 The server re-evaluates the initially filtered property information based on the analyzed sentiment data. It processes the data to match the user's emotional state, adjusting search results accordingly—for example, displaying quiet properties when stressed, or properties with unique designs when excited. This results in optimized search results. 【0443】 Step 4: 【0444】 The adjusted search results are displayed in the user's field of view via projection mapping through a robotic device. Using interactive projection technology, users can experience the property through visual information. 【0445】 Step 5: 【0446】 When a user expresses interest in a property and selects it, it is sent to the server as new data input, and an automated viewing reservation process is initiated. Here, the selected property information is retrieved, used to share the reservation information with the real estate agent, and the user is notified of the result. 【0447】 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. 【0448】 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. 【0449】 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. 【0450】 [Third Embodiment] 【0451】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0452】 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. 【0453】 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). 【0454】 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. 【0455】 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. 【0456】 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). 【0457】 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. 【0458】 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. 【0459】 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. 【0460】 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. 【0461】 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. 【0462】 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". 【0463】 This invention provides a rental property search system including a user, a terminal, and a server, which enables efficient searching for rental properties and scheduling viewings. First, the user uses the terminal to input their desired rental property criteria. These criteria include, for example, budget, distance from the station, floor plan, age of the building, and whether pets are allowed. 【0464】 Server Functions 【0465】 The server receives the conditions submitted by the user, analyzes them, and links them with the latest real estate information database. From this database, the server quickly searches for property information that matches the conditions and also extracts additional information that may be of interest to the user. This additional information may include, for example, properties that are very close to a train station or newly built properties with high security, even if they do not meet the specified conditions. 【0466】 The acquired property information and additional details are sent from the server to the terminal and immediately notified to the user. The notification includes detailed information about each property, allowing the user to compare and consider them. 【0467】 User actions 【0468】 Users refer to the property information displayed on their device, select a property they are interested in, and then send an action to the server to request a viewing appointment. 【0469】 Automated viewing appointments 【0470】 The server has a function that automatically schedules property viewings based on the user's selection. This function allows the server to send necessary information to real estate agents, quickly securing viewing dates. The secured viewing appointment information is then notified to the user again via their device. 【0471】 For example, if a user enters conditions such as "rent under 100,000 yen," "within a 10-minute walk from the station," "pets allowed," and "separate bathroom and toilet," the server searches its database for properties that meet these criteria and provides a list with additional information added to the conditions. If the user then selects a property from this list, for example, one with slightly higher rent but better shared facilities, a viewing appointment is automatically scheduled. 【0472】 Thus, the present invention provides a system that allows users to efficiently find properties with favorable conditions without hassle and to quickly make viewing reservations. 【0473】 The following describes the processing flow. 【0474】 Step 1: 【0475】 Users access a property search application using their device and enter their desired criteria. These criteria include desired rent, distance from the station, floor plan, and whether pets are allowed. The device stores the entered criteria as data. 【0476】 Step 2: 【0477】 The terminal sends the user's desired conditions to the server. Once the server receives this information, it begins the condition analysis process. 【0478】 Step 3: 【0479】 Based on the analyzed preferences, the server accesses a real estate database and searches for properties that match the criteria. This search uses database information that is updated in real time, and property availability is verified. 【0480】 Step 4: 【0481】 The server extracts additional information that may be of interest to the user, in addition to the desired conditions. For example, it collects information on properties that are convenient or have unique features, even if they do not meet the specified criteria. 【0482】 Step 5: 【0483】 The server organizes the relevant property information and additional details and sends them to the terminal. On the terminal, this information is displayed in a format that is easy for the user to understand. 【0484】 Step 6: 【0485】 The user selects a property of interest from the displayed list and decides whether they would like to view it. This selection information is then sent back from the terminal to the server. 【0486】 Step 7: 【0487】 The server automatically makes viewing appointments for the properties selected by the user with real estate agents. Once the reservation information is sent to the real estate agents, the viewing dates are secured. 【0488】 Step 8: 【0489】 The server sends confirmation information for the viewing appointment to the terminal, and the terminal notifies the user of the viewing date. This allows the user to view the desired property as soon as possible. 【0490】 (Example 1) 【0491】 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." 【0492】 In modern society, users are required to quickly and appropriately obtain and compare information based on diverse preferences. However, conventional search systems have difficulty providing accurate information based on the preferences entered by users, and in particular, they have a problem in that they cannot effectively present relevant information, especially regarding supplementary information. Furthermore, there is a lack of a mechanism to efficiently manage reservations for selected experiences, which impairs user convenience, and this situation needs to be resolved. 【0493】 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. 【0494】 In this invention, the server includes means for receiving desired conditions based on user input, means for accessing the latest information database and searching for target information that matches the desired conditions, and means for prioritizing and providing relevant similar targets using a generative AI model. As a result, users can not only find information that matches their diverse desired conditions, but also quickly obtain highly relevant information and save time and effort through automated experience reservations. 【0495】 "User" refers to an individual or group that uses the system to obtain information and make selections or actions based on certain conditions. 【0496】 "Desired conditions" refer to specific criteria or requirements that users set for the information they want to obtain through the system. 【0497】 An "information database" refers to a collection or management system of information that a system accesses to obtain the latest information. 【0498】 "Target information" refers to specific information and data extracted from an information database that matches the user's desired conditions. 【0499】 "Additional information" refers to additional information or data obtained in relation to the target information that may be of interest to the user. 【0500】 A "generative AI model" refers to an artificial intelligence algorithm or its application system used to determine relevance and prioritization based on data input. 【0501】 "Experience booking" refers to the booking process that allows users to reserve a date and time to actually visit or try out a product or service of their choice. 【0502】 "Vendors" refers to external professionals or companies involved in experience booking and information provision. 【0503】 The system according to this invention is built around a server, a terminal, and a user. The user first inputs their desired conditions using the terminal. This terminal is equipped with software that accepts user input via a user interface, organizes the input data, and sends it to the server. 【0504】 The server analyzes the received request criteria. The hardware used here includes a high-speed processor and storage system. Based on the request criteria, the server sends queries to the latest information database and efficiently searches for matching information. This database resides on a remote server accessed via the network and is continuously updated in real time. 【0505】 Furthermore, the server utilizes a generative AI model to generate additional information for the target data. The AI ​​model uses machine learning algorithms to analyze items similar to the user's conditions and provides prioritized information. This allows for the efficient presentation of information likely to be of interest to the user. 【0506】 The information transmitted from the server to the terminal includes not only the target information directly selected by the user, but also associated supplementary information. Users can review this information on their terminal and proceed with booking experiences for items of interest. Experience bookings are automatically processed by the server, and the booking information is electronically transmitted to the service provider. 【0507】 For example, if a user enters conditions such as "price under 100,000 yen," "within a 10-minute walk from the location," "pets allowed," and "other facilities available," the server searches for matching information in real time and generates a list with additional information. 【0508】 An example of a prompt that utilizes a generative AI model would be: "Search for rental information based on the specified conditions and generate a sentence that provides relevant additional information." 【0509】 This system allows users to quickly obtain information based on diverse criteria while simultaneously managing the entire process from booking an experience to making a reservation. 【0510】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0511】 Step 1: 【0512】 The user uses a terminal to enter their desired conditions. These conditions include "price under 100,000 yen," "within a 10-minute walk from the location," "pets allowed," and "separate facility location." The terminal receives this input and prepares to send it to the server. Specifically, the terminal parses the data entered through the user interface into JSON format and prepares it for transmission to the server. 【0513】 Step 2: 【0514】 The server receives the user's desired conditions sent from the terminal. It receives data in JSON format as input and parses the desired conditions. As data processing, it converts these conditions into an SQL query and prepares to access the information database. Specifically, the server constructs a database query based on the parsed conditions and starts the process of efficiently searching for the target information. 【0515】 Step 3: 【0516】 The server issues queries to the information database to search for relevant information that matches the user's criteria. It uses SQL queries based on the analyzed criteria as input. As a data calculation, it filters the information within the database and generates a dataset that matches the criteria as output. Specifically, it prioritizes retrieving items that match the criteria from the database and constructs the results. 【0517】 Step 4: 【0518】 The server utilizes a generative AI model to generate additional information related to the acquired target information. Using the target information as input, the AI ​​model calculates the information associated with it. As a data calculation, it calculates prioritized additional information and provides information highly likely to be relevant to the user's conditions as output. Specifically, it runs the AI ​​model and prepares information to present additional valuable data to the user. 【0519】 Step 5: 【0520】 The server sends target information and additional information to the terminal. Based on the input query results and additional information from the AI ​​model, it constructs a data packet and sends information notification to the user terminal as output. Specifically, it encodes the information in HTML format or a format compatible with mobile apps and transfers it to the terminal. 【0521】 Step 6: 【0522】 The user reviews the information displayed on their device and selects an experience reservation for something that interests them. Based on the selected information, the user enters specific dates and other details and sends this information to the server via their device. Specifically, the user enters reservation details through the user interface and presses the reservation confirmation button. 【0523】 Step 7: 【0524】 The server automatically processes user experience booking requests and sends booking information to the service provider. It receives user booking details as input and prepares the booking information for transmission to the partner API. Data processing involves converting the booking information to the service provider's format. Output consists of specific information notifying the user that the booking has been confirmed. The specific operation involves calling the service provider's API, checking the booking status, and then returning the result to the user. 【0525】 (Application Example 1) 【0526】 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." 【0527】 Traditional rental property search systems have several drawbacks: the process of finding properties that meet users' desired criteria is cumbersome, and viewing appointments are made manually, resulting in inefficiency. Furthermore, the lack of automated additional information provision and scheduling of visits leads to low user convenience. 【0528】 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. 【0529】 In this invention, the server includes means for receiving desired conditions via the user's communication terminal, means for accessing an information processing system and searching for location information that matches the desired conditions, and means for extracting additional information that the user may be interested in along with the search results. This allows the user to efficiently obtain desired property information and to quickly and easily make viewing reservations through the automation of visit scheduling. 【0530】 A "user" is an individual or group that uses the system to search for rental properties and make reservations for visits. 【0531】 A "communication terminal" is a digital device used by users to receive rental information and input search criteria. 【0532】 "Desired conditions" refer to the specific attributes or requirements that the user desires regarding a rental property. 【0533】 An "information processing system" is a computer system that accesses a database of rental properties and performs searches based on the user's desired conditions. 【0534】 "Location information" refers to detailed information about rental properties selected based on desired conditions. 【0535】 "Additional information" refers to additional data related to the searched rental property that may be of interest to the user. 【0536】 A "scheduled visit" refers to the agreed-upon time and date set for the user to actually visit and inspect the rental property they have selected. 【0537】 A "trading business operator" is a company or organization that provides or manages rental properties. 【0538】 "Cross-platform" refers to the ability of a single application to function on multiple different operating systems. 【0539】 The system implementing this invention streamlines the process by which users search for properties using a communication terminal and automate the scheduling of visits. A specific embodiment is described below. 【0540】 The server first receives the user's desired conditions from the communication terminal. These conditions include, for example, proximity to public transportation, rent, composition, building age, and whether or not pets are allowed. The server uses an information processing system, specifically a cloud computing platform, to access a database and quickly search for location information that matches these conditions. 【0541】 The search process involves executing scripts using Python or Node.js to perform database searches using SQL queries. For the retrieved property data, an AI algorithm is used to extract potentially interesting additional information and provide it to the user as recommendations. This AI algorithm utilizes a generative AI model. 【0542】 The user's device is equipped with a cross-platform application developed using React Native, which notifies them in real time of additional information along with search results. Upon receiving a notification, the user can select a specific property and automate scheduling a visit. The scheduled visit information is sent from the server to the real estate agent, and scheduling is handled in the backend. 【0543】 For example, if a user enters "pets allowed," "within a 5-minute walk from the station," and "rent under 300,000 yen," the server searches its database for properties that meet these criteria and presents them to the user. At the same time, additional information such as "properties with the latest security systems" is also displayed as recommendations. In this way, by implementing this invention, users can effectively find properties that meet their needs. 【0544】 An example of a prompt message to input into a generative AI model is as follows: 【0545】 "I'm looking for a new apartment that allows pets and is within a 5-minute walk from the station. Properties with the latest security systems are a priority. Could you recommend some properties?" 【0546】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0547】 Step 1: 【0548】 Users enter their desired rental property criteria using a communication terminal. This includes proximity to public transportation, rent, layout, building age, and whether pets are allowed. The entered data is temporarily stored on the communication terminal and prepared for transmission in the next step. 【0549】 Step 2: 【0550】 Communication terminals transmit data by sending the user's entered preferences to a server. This is done via the internet. The server analyzes the received data, converts it into SQL format, and prepares it for database queries. 【0551】 Step 3: 【0552】 The server uses the converted query to access the database via the information processing system. For the search operation, a Python script is used to quickly search for property information that matches the user's desired criteria and retrieve the results. 【0553】 Step 4: 【0554】 The server analyzes property information retrieved from the database using an AI model and generates additional information that users might find interesting. This generation uses a generative AI model to form prompt statements based on the property's characteristics. For example, it might reconstruct the information by adding details such as "a property equipped with the latest security system." 【0555】 Step 5: 【0556】 The server transmits search results and additional information to the communication terminal in real time. The communication terminal receives this information and presents it visually to the user through a React Native application. The user can then compare and select properties based on this information. 【0557】 Step 6: 【0558】 When a user selects a property using their device, that information is sent back to the server. The server automatically generates a visit schedule based on the selected property and sends a confirmation notification to the real estate agent. 【0559】 Step 7: 【0560】 Once a visit is scheduled, the server sends the details to the communication terminal, notifying the user. This allows the user to confirm the scheduled date and time of the visit and make preparations. 【0561】 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. 【0562】 This invention is a rental property search system that incorporates an emotion engine that recognizes the user's emotions and adjusts the search results for rental properties based on those emotions. The user's emotions are inferred from input data, the user's behavioral history, and their reactions at the time of contract signing, and are analyzed by the emotion engine. 【0563】 Server Functions 【0564】 The server receives the user's requested criteria and uses an emotion engine to analyze the user's desired emotional state. Each time the user makes input, the emotion engine detects, for example, the user's stress level or level of curiosity. The detected emotion data influences the property search results, adjusting priorities to suggest properties that match the user's mood. 【0565】 Device functions 【0566】 The terminal receives property information sent from the server and displays it to the user. The displayed information reflects the user's emotional state and includes properties that reduce stress (quiet and comfortable properties) and properties that stimulate curiosity (properties with unique designs). 【0567】 User actions 【0568】 Users can view property information displayed on their device and select properties that interest them. Based on their selections, the emotion engine updates the user's emotions and reflects them in the newly suggested properties. This system not only finds properties that meet the criteria but also provides a better property-finding experience by suggesting properties that match the user's psychological state. 【0569】 Specific example 【0570】 For example, if a user is trying to choose a property that is over budget, the emotion engine might detect that the user is emotionally fatigued. In that case, the emotion engine would adjust its display to prioritize properties with a calm atmosphere that would help the user relax. On the other hand, if the user is feeling exhilarated, it would prioritize properties with an open design or innovative features, thus changing the displayed content according to the user's emotions. 【0571】 Thus, the present invention provides a system that enables the suggestion of optimal rental properties that take into account the user's psychological state. 【0572】 The following describes the processing flow. 【0573】 Step 1: 【0574】 The user accesses the property search application from their device and enters their desired criteria. These criteria include a wide range of factors such as rent, distance from the station, floor plan, and whether pets are allowed. The device then prepares to send this information to the server. 【0575】 Step 2: 【0576】 The device sends user input data to an emotion engine for emotion analysis. The emotion engine infers the user's current emotional state based on their input and past selection history. 【0577】 Step 3: 【0578】 The server receives the user's desired conditions and sentiment data from the sentiment engine. Based on this, the server accesses the real estate information database and searches for properties that match the conditions. 【0579】 Step 4: 【0580】 The server adjusts the display priority of properties in search results based on sentiment data. For example, if a user indicates they want to relax, it will prioritize quiet and calming properties. 【0581】 Step 5: 【0582】 The server sends the adjusted search results to the terminal. The terminal displays this information to the user, providing it in a format that is easy to adapt. 【0583】 Step 6: 【0584】 Users select properties of interest from those displayed and then request more detailed information based on their selections. 【0585】 Step 7: 【0586】 The terminal sends the user's selection to the server and updates the sentiment engine's sentiment data. If necessary, the server sends information to the real estate agent to initiate the viewing reservation process. 【0587】 Step 8: 【0588】 The server sends information to the terminal once a viewing reservation is confirmed. The terminal notifies the user of the reservation details and provides an opportunity to confirm the viewing schedule. 【0589】 This series of processes allows users to efficiently find properties that suit their needs and emotions, resulting in a more satisfying property search. 【0590】 (Example 2) 【0591】 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." 【0592】 Conventional rental property search systems often fail to take into account the user's emotions and psychological state, making it difficult for users to find truly suitable properties. Because properties are not suggested in a way that aligns with the user's mood and psychological needs, it's difficult to provide a highly satisfying property search experience. 【0593】 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. 【0594】 In this invention, the server includes means for receiving desired conditions based on user input, means for analyzing the user's emotional state using a generation AI model and adjusting the priority of property information based on the analysis results, and means for updating the emotional state based on the property selected by the user and reflecting it in the next suggestion. This makes it possible to suggest properties that take into account the user's emotions and psychological state. 【0595】 "Users" refers to individuals who use this system to search for and select rental properties. 【0596】 "Desired conditions" refer to the characteristics and specifications that users look for in a rental property, and examples include distance from public transportation and rent. 【0597】 A "generative AI model" is a model that uses artificial intelligence technology to analyze a user's emotional state. 【0598】 "Emotional state" refers to a numerical or descriptive representation of a user's psychological or emotional state, and includes emotions such as stress and happiness. 【0599】 "Property information" refers to detailed data about rental properties, specifically including information such as location, rent, and floor plan. 【0600】 This refers to "priority," representing property information and indicating the order in which it is displayed, determined by criteria or algorithms. 【0601】 A "viewing reservation" refers to a reservation for a date and time for a user to actually visit and inspect a specific rental property. 【0602】 A "real estate agent" refers to a company or business that manages or brokers rental properties. 【0603】 This invention is a rental property search system that takes into account the user's emotional state, and a specific embodiment thereof is described below. 【0604】 Server Functions 【0605】 The server has the function of receiving the desired conditions entered by the user. This process uses a server machine equipped with a high-performance processor and a database management system (e.g., MySQL, PostgreSQL). Based on the received data, a generative AI model is used to analyze the user's emotional state. In the emotional analysis, natural language processing technology is used to analyze psychological elements such as the user's stress and curiosity. As a result, the server adjusts the priority of property information based on the user's latest emotional state. 【0606】 Device functions 【0607】 The terminal receives property information sent from the server and displays it to the user. The property information is displayed visually through a user interface, supported by front-end frameworks such as React and Vue.js. The terminal also plays a role in feeding back the user's property selection to the server. 【0608】 User actions 【0609】 Users select properties they are interested in based on the property information displayed on their device. The selected data is sent to the server, and the generated AI model updates its emotional state based on this data, reflecting it in the next property recommendations. 【0610】 Specific example 【0611】 For example, if a user tends to choose high-priced properties, the server, via its emotion engine, recognizes that the user is fatigued and prioritizes properties that emphasize relaxation. Conversely, if the user is judged to be excited, properties with unique designs will be suggested. 【0612】 Example of a prompt 【0613】 "Based on the sentiment analysis results, please create a list of properties that are best suited to the user." 【0614】 "Generate a new search query based on the current user sentiment." 【0615】 This system enables personalized property recommendations that take into account the user's emotional state, providing a more comfortable property search experience for the user. 【0616】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0617】 Step 1: 【0618】 The server receives user-submitted preferences as input. These preferences include location, maximum rent, floor plan, and whether pets are allowed. This receiving process is achieved by the server retrieving data sent from the frontend via an API and storing it in a database. 【0619】 Step 2: 【0620】 The server uses a generative AI model to analyze the user's emotional state, taking the received request conditions and past user behavior history as input. The input data is analyzed using natural language processing techniques to quantify the user's stress level, curiosity, and other factors. Specifically, it calculates an emotional score from the analysis results and adjusts the search algorithm based on this score. 【0621】 Step 3: 【0622】 The server accesses a geographic location database to search for property information based on the analyzed emotional state and desired conditions. It generates an SQL query and iterates through the database to retrieve a list of properties that match the criteria. The retrieved property information is then prioritized in relation to the emotional state. 【0623】 Step 4: 【0624】 The server sends prioritized property information as output to the terminal. This transmission is achieved by transferring formatted JSON data to the terminal using the HTTP protocol. Property information is then organized to suit the user's preferences and prepared for visual display. 【0625】 Step 5: 【0626】 The terminal receives property information as JSON data sent from the server and displays it to the user. The front-end application parses the received data and uses UI components to visually render the information in the form of lists, cards, etc. 【0627】 Step 6: 【0628】 Users view property information displayed on their devices and select properties that interest them. This selection is made by the user pressing a select button, and the data is sent back to the server. The selection results are used as input data for updating the user's emotional state. 【0629】 Step 7: 【0630】 The server uses a generative AI model to reanalyze the user's emotional state based on their property selection. In this step, the selection data is processed by the emotion engine, and a new emotion score is calculated. This new data is then used to inform the next property presentation, and this process is repeated. 【0631】 (Application Example 2) 【0632】 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." 【0633】 Current rental property search systems simply provide property information based on entered preferences without considering the user's psychological needs. This makes it difficult to suggest properties that are best suited to the user's stress levels and interests, leading to decreased satisfaction with the property search. Furthermore, it is difficult for users to obtain information in a way that is easy to experience firsthand. 【0634】 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. 【0635】 In this invention, the server includes means for receiving desired conditions based on user input, means for accessing the latest real estate information database and searching for facility information that matches the desired conditions, and means for analyzing the user's emotional state and adjusting the search results based on those emotions. This enables users to efficiently obtain optimal property information tailored to their emotions and improve their satisfaction with property searching through an immersive experience. 【0636】 "User input" refers to the conditions and preferences that users provide when searching for rental properties. 【0637】 "Desired conditions" refer to the specific criteria or requirements that users have for rental properties, and searches are conducted based on these. 【0638】 A "real estate information database" is a collection of digital data that stores detailed information about rental properties. 【0639】 "Emotional state" refers to the psychological reactions and emotional states that users exhibit when searching for properties, and this is used to adjust the search results. 【0640】 A "means of dialogue" refers to a technical means by which users and systems exchange information and communicate with each other. 【0641】 "Display means" refers to technical means for visually presenting property information and showing it to users. 【0642】 A "robot device" refers to an automated device designed to provide property information and interact with users. 【0643】 The system for carrying out this invention includes a program that receives desired conditions based on user input, accesses a property information database to search for facility information that matches the conditions, and analyzes the user's emotional state. For emotional state analysis, a robotic device equipped with a camera and microphone is used to capture video and audio data. The server uses the Python libraries "OpenCV" and "TensorFlow" to analyze the user's emotions in real time from the acquired data and adjusts the search results based on the emotions. 【0644】 Subsequently, property information is displayed on the room's walls using projection mapping to optimize the search results for the user. This allows the user to visually experience the property's details. 【0645】 For example, if a user wants to relax after a busy day at work, the robotic device will read their emotions and prioritize presenting properties with a quiet and calming atmosphere. The suggestions to the user are delivered through automated dialogue. 【0646】 Examples of prompts for a generative AI model: 【0647】 "How can we suggest the best property to a user when they are feeling stressed?" 【0648】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0649】 Step 1: 【0650】 The server receives the user's desired conditions via their terminal. These conditions include location, floor plan, rent, etc. Based on these input conditions, the server starts filtering the database to find suitable candidate properties. 【0651】 Step 2: 【0652】 Using the robot device's camera and microphone, the server captures the user's facial expressions and voice. This data is analyzed using OpenCV and TensorFlow to determine the user's emotional state. The results of this analysis are then output as emotion data used in a further filtering process. 【0653】 Step 3: 【0654】 The server re-evaluates the initially filtered property information based on the analyzed sentiment data. It processes the data to match the user's emotional state, adjusting search results accordingly—for example, displaying quiet properties when stressed, or properties with unique designs when excited. This results in optimized search results. 【0655】 Step 4: 【0656】 The adjusted search results are displayed in the user's field of view via projection mapping through a robotic device. Using interactive projection technology, users can experience the property through visual information. 【0657】 Step 5: 【0658】 When a user expresses interest in a property and selects it, it is sent to the server as new data input, and an automated viewing reservation process is initiated. Here, the selected property information is retrieved, used to share the reservation information with the real estate agent, and the user is notified of the result. 【0659】 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. 【0660】 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. 【0661】 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. 【0662】 [Fourth Embodiment] 【0663】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0664】 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. 【0665】 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). 【0666】 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. 【0667】 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. 【0668】 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). 【0669】 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. 【0670】 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. 【0671】 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. 【0672】 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. 【0673】 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. 【0674】 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. 【0675】 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". 【0676】 This invention provides a rental property search system including a user, a terminal, and a server, which enables efficient searching for rental properties and scheduling viewings. First, the user uses the terminal to input their desired rental property criteria. These criteria include, for example, budget, distance from the station, floor plan, age of the building, and whether pets are allowed. 【0677】 Server Functions 【0678】 The server receives the conditions submitted by the user, analyzes them, and links them with the latest real estate information database. From this database, the server quickly searches for property information that matches the conditions and also extracts additional information that may be of interest to the user. This additional information may include, for example, properties that are very close to a train station or newly built properties with high security, even if they do not meet the specified conditions. 【0679】 The acquired property information and additional details are sent from the server to the terminal and immediately notified to the user. The notification includes detailed information about each property, allowing the user to compare and consider them. 【0680】 User actions 【0681】 Users refer to the property information displayed on their device, select a property they are interested in, and then send an action to the server to request a viewing appointment. 【0682】 Automated viewing appointments 【0683】 The server has a function that automatically schedules property viewings based on the user's selection. This function allows the server to send necessary information to real estate agents, quickly securing viewing dates. The secured viewing appointment information is then notified to the user again via their device. 【0684】 For example, if a user enters conditions such as "rent under 100,000 yen," "within a 10-minute walk from the station," "pets allowed," and "separate bathroom and toilet," the server searches its database for properties that meet these criteria and provides a list with additional information added to the conditions. If the user then selects a property from this list, for example, one with slightly higher rent but better shared facilities, a viewing appointment is automatically scheduled. 【0685】 Thus, the present invention provides a system that allows users to efficiently find properties with favorable conditions without hassle and to quickly make viewing reservations. 【0686】 The following describes the processing flow. 【0687】 Step 1: 【0688】 Users access a property search application using their device and enter their desired criteria. These criteria include desired rent, distance from the station, floor plan, and whether pets are allowed. The device stores the entered criteria as data. 【0689】 Step 2: 【0690】 The terminal sends the user's desired conditions to the server. Once the server receives this information, it begins the condition analysis process. 【0691】 Step 3: 【0692】 Based on the analyzed preferences, the server accesses a real estate database and searches for properties that match the criteria. This search uses database information that is updated in real time, and property availability is verified. 【0693】 Step 4: 【0694】 The server extracts additional information that may be of interest to the user, in addition to the desired conditions. For example, it collects information on properties that are convenient or have unique features, even if they do not meet the specified criteria. 【0695】 Step 5: 【0696】 The server organizes the relevant property information and additional details and sends them to the terminal. On the terminal, this information is displayed in a format that is easy for the user to understand. 【0697】 Step 6: 【0698】 The user selects a property of interest from the displayed list and decides whether they would like to view it. This selection information is then sent back from the terminal to the server. 【0699】 Step 7: 【0700】 The server automatically makes viewing appointments for the properties selected by the user with real estate agents. Once the reservation information is sent to the real estate agents, the viewing dates are secured. 【0701】 Step 8: 【0702】 The server sends confirmation information for the viewing appointment to the terminal, and the terminal notifies the user of the viewing date. This allows the user to view the desired property as soon as possible. 【0703】 (Example 1) 【0704】 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". 【0705】 In modern society, users are required to quickly and appropriately obtain and compare information based on diverse preferences. However, conventional search systems have difficulty providing accurate information based on the preferences entered by users, and in particular, they have a problem in that they cannot effectively present relevant information, especially regarding supplementary information. Furthermore, there is a lack of a mechanism to efficiently manage reservations for selected experiences, which impairs user convenience, and this situation needs to be resolved. 【0706】 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. 【0707】 In this invention, the server includes means for receiving desired conditions based on user input, means for accessing the latest information database and searching for target information that matches the desired conditions, and means for prioritizing and providing relevant similar targets using a generative AI model. As a result, users can not only find information that matches their diverse desired conditions, but also quickly obtain highly relevant information and save time and effort through automated experience reservations. 【0708】 "User" refers to an individual or group that uses the system to obtain information and make selections or actions based on certain conditions. 【0709】 "Desired conditions" refer to specific criteria or requirements that users set for the information they want to obtain through the system. 【0710】 An "information database" refers to a collection or management system of information that a system accesses to obtain the latest information. 【0711】 "Target information" refers to specific information and data extracted from an information database that matches the user's desired conditions. 【0712】 "Additional information" refers to additional information or data obtained in relation to the target information that may be of interest to the user. 【0713】 A "generative AI model" refers to an artificial intelligence algorithm or its application system used to determine relevance and prioritization based on data input. 【0714】 "Experience booking" refers to the booking process that allows users to reserve a date and time to actually visit or try out a product or service of their choice. 【0715】 "Vendors" refers to external professionals or companies involved in experience booking and information provision. 【0716】 The system according to this invention is built around a server, a terminal, and a user. The user first inputs their desired conditions using the terminal. This terminal is equipped with software that accepts user input via a user interface, organizes the input data, and sends it to the server. 【0717】 The server analyzes the received request criteria. The hardware used here includes a high-speed processor and storage system. Based on the request criteria, the server sends queries to the latest information database and efficiently searches for matching information. This database resides on a remote server accessed via the network and is continuously updated in real time. 【0718】 Furthermore, the server utilizes a generative AI model to generate additional information for the target data. The AI ​​model uses machine learning algorithms to analyze items similar to the user's conditions and provides prioritized information. This allows for the efficient presentation of information likely to be of interest to the user. 【0719】 The information transmitted from the server to the terminal includes not only the target information directly selected by the user, but also associated supplementary information. Users can review this information on their terminal and proceed with booking experiences for items of interest. Experience bookings are automatically processed by the server, and the booking information is electronically transmitted to the service provider. 【0720】 For example, if a user enters conditions such as "price under 100,000 yen," "within a 10-minute walk from the location," "pets allowed," and "other facilities available," the server searches for matching information in real time and generates a list with additional information. 【0721】 An example of a prompt that utilizes a generative AI model would be: "Search for rental information based on the specified conditions and generate a sentence that provides relevant additional information." 【0722】 This system allows users to quickly obtain information based on diverse criteria while simultaneously managing the entire process from booking an experience to making a reservation. 【0723】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0724】 Step 1: 【0725】 The user uses a terminal to enter their desired conditions. These conditions include "price under 100,000 yen," "within a 10-minute walk from the location," "pets allowed," and "separate facility location." The terminal receives this input and prepares to send it to the server. Specifically, the terminal parses the data entered through the user interface into JSON format and prepares it for transmission to the server. 【0726】 Step 2: 【0727】 The server receives the user's desired conditions sent from the terminal. It receives data in JSON format as input and parses the desired conditions. As data processing, it converts these conditions into an SQL query and prepares to access the information database. Specifically, the server constructs a database query based on the parsed conditions and starts the process of efficiently searching for the target information. 【0728】 Step 3: 【0729】 The server issues queries to the information database to search for relevant information that matches the user's criteria. It uses SQL queries based on the analyzed criteria as input. As a data calculation, it filters the information within the database and generates a dataset that matches the criteria as output. Specifically, it prioritizes retrieving items that match the criteria from the database and constructs the results. 【0730】 Step 4: 【0731】 The server utilizes a generative AI model to generate additional information related to the acquired target information. Using the target information as input, the AI ​​model calculates the information associated with it. As a data calculation, it calculates prioritized additional information and provides information highly likely to be relevant to the user's conditions as output. Specifically, it runs the AI ​​model and prepares information to present additional valuable data to the user. 【0732】 Step 5: 【0733】 The server sends target information and additional information to the terminal. Based on the input query results and additional information from the AI ​​model, it constructs a data packet and sends information notification to the user terminal as output. Specifically, it encodes the information in HTML format or a format compatible with mobile apps and transfers it to the terminal. 【0734】 Step 6: 【0735】 The user reviews the information displayed on their device and selects an experience reservation for something that interests them. Based on the selected information, the user enters specific dates and other details and sends this information to the server via their device. Specifically, the user enters reservation details through the user interface and presses the reservation confirmation button. 【0736】 Step 7: 【0737】 The server automatically processes user experience booking requests and sends booking information to the service provider. It receives user booking details as input and prepares the booking information for transmission to the partner API. Data processing involves converting the booking information to the service provider's format. Output consists of specific information notifying the user that the booking has been confirmed. The specific operation involves calling the service provider's API, checking the booking status, and then returning the result to the user. 【0738】 (Application Example 1) 【0739】 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". 【0740】 Traditional rental property search systems have several drawbacks: the process of finding properties that meet users' desired criteria is cumbersome, and viewing appointments are made manually, resulting in inefficiency. Furthermore, the lack of automated additional information provision and scheduling of visits leads to low user convenience. 【0741】 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. 【0742】 In this invention, the server includes means for receiving desired conditions via the user's communication terminal, means for accessing an information processing system and searching for location information that matches the desired conditions, and means for extracting additional information that the user may be interested in along with the search results. This allows the user to efficiently obtain desired property information and to quickly and easily make viewing reservations through the automation of visit scheduling. 【0743】 A "user" is an individual or group that uses the system to search for rental properties and make reservations for visits. 【0744】 A "communication terminal" is a digital device used by users to receive rental information and input search criteria. 【0745】 "Desired conditions" refer to the specific attributes or requirements that the user desires regarding a rental property. 【0746】 An "information processing system" is a computer system that accesses a database of rental properties and performs searches based on the user's desired conditions. 【0747】 "Location information" refers to detailed information about rental properties selected based on desired conditions. 【0748】 "Additional information" refers to additional data related to the searched rental property that may be of interest to the user. 【0749】 A "scheduled visit" refers to the agreed-upon time and date set for the user to actually visit and inspect the rental property they have selected. 【0750】 A "trading business operator" is a company or organization that provides or manages rental properties. 【0751】 "Cross-platform" refers to the ability of a single application to function on multiple different operating systems. 【0752】 The system implementing this invention streamlines the process by which users search for properties using a communication terminal and automate the scheduling of visits. A specific embodiment is described below. 【0753】 The server first receives the user's desired conditions from the communication terminal. These conditions include, for example, proximity to public transportation, rent, composition, building age, and whether or not pets are allowed. The server uses an information processing system, specifically a cloud computing platform, to access a database and quickly search for location information that matches these conditions. 【0754】 The search process involves executing scripts using Python or Node.js to perform database searches using SQL queries. For the retrieved property data, an AI algorithm is used to extract potentially interesting additional information and provide it to the user as recommendations. This AI algorithm utilizes a generative AI model. 【0755】 The user's device is equipped with a cross-platform application developed using React Native, which notifies them in real time of additional information along with search results. Upon receiving a notification, the user can select a specific property and automate scheduling a visit. The scheduled visit information is sent from the server to the real estate agent, and scheduling is handled in the backend. 【0756】 For example, if a user enters "pets allowed," "within a 5-minute walk from the station," and "rent under 300,000 yen," the server searches its database for properties that meet these criteria and presents them to the user. At the same time, additional information such as "properties with the latest security systems" is also displayed as recommendations. In this way, by implementing this invention, users can effectively find properties that meet their needs. 【0757】 An example of a prompt message to input into a generative AI model is as follows: 【0758】 "I'm looking for a new apartment that allows pets and is within a 5-minute walk from the station. Properties with the latest security systems are a priority. Could you recommend some properties?" 【0759】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0760】 Step 1: 【0761】 Users enter their desired rental property criteria using a communication terminal. This includes proximity to public transportation, rent, layout, building age, and whether pets are allowed. The entered data is temporarily stored on the communication terminal and prepared for transmission in the next step. 【0762】 Step 2: 【0763】 Communication terminals transmit data by sending the user's entered preferences to a server. This is done via the internet. The server analyzes the received data, converts it into SQL format, and prepares it for database queries. 【0764】 Step 3: 【0765】 The server uses the converted query to access the database via the information processing system. For the search operation, a Python script is used to quickly search for property information that matches the user's desired criteria and retrieve the results. 【0766】 Step 4: 【0767】 The server analyzes property information retrieved from the database using an AI model and generates additional information that users might find interesting. This generation uses a generative AI model to form prompt statements based on the property's characteristics. For example, it might reconstruct the information by adding details such as "a property equipped with the latest security system." 【0768】 Step 5: 【0769】 The server transmits search results and additional information to the communication terminal in real time. The communication terminal receives this information and presents it visually to the user through a React Native application. The user can then compare and select properties based on this information. 【0770】 Step 6: 【0771】 When a user selects a property using their device, that information is sent back to the server. The server automatically generates a visit schedule based on the selected property and sends a confirmation notification to the real estate agent. 【0772】 Step 7: 【0773】 Once a visit is scheduled, the server sends the details to the communication terminal, notifying the user. This allows the user to confirm the scheduled date and time of the visit and make preparations. 【0774】 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. 【0775】 This invention is a rental property search system that incorporates an emotion engine that recognizes the user's emotions and adjusts the search results for rental properties based on those emotions. The user's emotions are inferred from input data, the user's behavioral history, and their reactions at the time of contract signing, and are analyzed by the emotion engine. 【0776】 Server Functions 【0777】 The server receives the user's requested criteria and uses an emotion engine to analyze the user's desired emotional state. Each time the user makes input, the emotion engine detects, for example, the user's stress level or level of curiosity. The detected emotion data influences the property search results, adjusting priorities to suggest properties that match the user's mood. 【0778】 Device functions 【0779】 The terminal receives property information sent from the server and displays it to the user. The displayed information reflects the user's emotional state and includes properties that reduce stress (quiet and comfortable properties) and properties that stimulate curiosity (properties with unique designs). 【0780】 User actions 【0781】 Users can view property information displayed on their device and select properties that interest them. Based on their selections, the emotion engine updates the user's emotions and reflects them in the newly suggested properties. This system not only finds properties that meet the criteria but also provides a better property-finding experience by suggesting properties that match the user's psychological state. 【0782】 Specific example 【0783】 For example, if a user is trying to choose a property that is over budget, the emotion engine might detect that the user is emotionally fatigued. In that case, the emotion engine would adjust its display to prioritize properties with a calm atmosphere that would help the user relax. On the other hand, if the user is feeling exhilarated, it would prioritize properties with an open design or innovative features, thus changing the displayed content according to the user's emotions. 【0784】 Thus, the present invention provides a system that enables the suggestion of optimal rental properties that take into account the user's psychological state. 【0785】 The following describes the processing flow. 【0786】 Step 1: 【0787】 The user accesses the property search application from their device and enters their desired criteria. These criteria include a wide range of factors such as rent, distance from the station, floor plan, and whether pets are allowed. The device then prepares to send this information to the server. 【0788】 Step 2: 【0789】 The device sends user input data to an emotion engine for emotion analysis. The emotion engine infers the user's current emotional state based on their input and past selection history. 【0790】 Step 3: 【0791】 The server receives the user's desired conditions and sentiment data from the sentiment engine. Based on this, the server accesses the real estate information database and searches for properties that match the conditions. 【0792】 Step 4: 【0793】 The server adjusts the display priority of properties in search results based on sentiment data. For example, if a user indicates they want to relax, it will prioritize quiet and calming properties. 【0794】 Step 5: 【0795】 The server sends the adjusted search results to the terminal. The terminal displays this information to the user, providing it in a format that is easy to adapt. 【0796】 Step 6: 【0797】 Users select properties of interest from those displayed and then request more detailed information based on their selections. 【0798】 Step 7: 【0799】 The terminal sends the user's selection to the server and updates the sentiment engine's sentiment data. If necessary, the server sends information to the real estate agent to initiate the viewing reservation process. 【0800】 Step 8: 【0801】 The server sends information to the terminal once a viewing reservation is confirmed. The terminal notifies the user of the reservation details and provides an opportunity to confirm the viewing schedule. 【0802】 This series of processes allows users to efficiently find properties that suit their needs and emotions, resulting in a more satisfying property search. 【0803】 (Example 2) 【0804】 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". 【0805】 Conventional rental property search systems often fail to take into account the user's emotions and psychological state, making it difficult for users to find truly suitable properties. Because properties are not suggested in a way that aligns with the user's mood and psychological needs, it's difficult to provide a highly satisfying property search experience. 【0806】 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. 【0807】 In this invention, the server includes means for receiving desired conditions based on user input, means for analyzing the user's emotional state using a generation AI model and adjusting the priority of property information based on the analysis results, and means for updating the emotional state based on the property selected by the user and reflecting it in the next suggestion. This makes it possible to suggest properties that take into account the user's emotions and psychological state. 【0808】 "Users" refers to individuals who use this system to search for and select rental properties. 【0809】 "Desired conditions" refer to the characteristics and specifications that users look for in a rental property, and examples include distance from public transportation and rent. 【0810】 A "generative AI model" is a model that uses artificial intelligence technology to analyze a user's emotional state. 【0811】 "Emotional state" refers to a numerical or descriptive representation of a user's psychological or emotional state, and includes emotions such as stress and happiness. 【0812】 "Property information" refers to detailed data about rental properties, specifically including information such as location, rent, and floor plan. 【0813】 This refers to "priority," representing property information and indicating the order in which it is displayed, determined by criteria or algorithms. 【0814】 A "viewing reservation" refers to a reservation for a date and time for a user to actually visit and inspect a specific rental property. 【0815】 A "real estate agent" refers to a company or business that manages or brokers rental properties. 【0816】 This invention is a rental property search system that takes into account the user's emotional state, and a specific embodiment thereof is described below. 【0817】 Server Functions 【0818】 The server has the function of receiving the desired conditions entered by the user. This process uses a server machine equipped with a high-performance processor and a database management system (e.g., MySQL, PostgreSQL). Based on the received data, a generative AI model is used to analyze the user's emotional state. In the emotional analysis, natural language processing technology is used to analyze psychological elements such as the user's stress and curiosity. As a result, the server adjusts the priority of property information based on the user's latest emotional state. 【0819】 Device functions 【0820】 The terminal receives property information sent from the server and displays it to the user. The property information is displayed visually through a user interface, supported by front-end frameworks such as React and Vue.js. The terminal also plays a role in feeding back the user's property selection to the server. 【0821】 User actions 【0822】 Users select properties they are interested in based on the property information displayed on their device. The selected data is sent to the server, and the generated AI model updates its emotional state based on this data, reflecting it in the next property recommendations. 【0823】 Specific example 【0824】 For example, if a user tends to choose high-priced properties, the server, via its emotion engine, recognizes that the user is fatigued and prioritizes properties that emphasize relaxation. Conversely, if the user is judged to be excited, properties with unique designs will be suggested. 【0825】 Example of a prompt 【0826】 "Based on the sentiment analysis results, please create a list of properties that are best suited to the user." 【0827】 "Generate a new search query based on the current user sentiment." 【0828】 This system enables personalized property recommendations that take into account the user's emotional state, providing a more comfortable property search experience for the user. 【0829】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0830】 Step 1: 【0831】 The server receives user-submitted preferences as input. These preferences include location, maximum rent, floor plan, and whether pets are allowed. This receiving process is achieved by the server retrieving data sent from the frontend via an API and storing it in a database. 【0832】 Step 2: 【0833】 The server uses a generative AI model to analyze the user's emotional state, taking the received request conditions and past user behavior history as input. The input data is analyzed using natural language processing techniques to quantify the user's stress level, curiosity, and other factors. Specifically, it calculates an emotional score from the analysis results and adjusts the search algorithm based on this score. 【0834】 Step 3: 【0835】 The server accesses a geographic location database to search for property information based on the analyzed emotional state and desired conditions. It generates an SQL query and iterates through the database to retrieve a list of properties that match the criteria. The retrieved property information is then prioritized in relation to the emotional state. 【0836】 Step 4: 【0837】 The server sends prioritized property information as output to the terminal. This transmission is achieved by transferring formatted JSON data to the terminal using the HTTP protocol. Property information is then organized to suit the user's preferences and prepared for visual display. 【0838】 Step 5: 【0839】 The terminal receives property information as JSON data sent from the server and displays it to the user. The front-end application parses the received data and uses UI components to visually render the information in the form of lists, cards, etc. 【0840】 Step 6: 【0841】 Users view property information displayed on their devices and select properties that interest them. This selection is made by the user pressing a select button, and the data is sent back to the server. The selection results are used as input data for updating the user's emotional state. 【0842】 Step 7: 【0843】 The server uses a generative AI model to reanalyze the user's emotional state based on their property selection. In this step, the selection data is processed by the emotion engine, and a new emotion score is calculated. This new data is then used to inform the next property presentation, and this process is repeated. 【0844】 (Application Example 2) 【0845】 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". 【0846】 Current rental property search systems simply provide property information based on entered preferences without considering the user's psychological needs. This makes it difficult to suggest properties that are best suited to the user's stress levels and interests, leading to decreased satisfaction with the property search. Furthermore, it is difficult for users to obtain information in a way that is easy to experience firsthand. 【0847】 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. 【0848】 In this invention, the server includes means for receiving desired conditions based on user input, means for accessing the latest real estate information database and searching for facility information that matches the desired conditions, and means for analyzing the user's emotional state and adjusting the search results based on those emotions. This enables users to efficiently obtain optimal property information tailored to their emotions and improve their satisfaction with property searching through an immersive experience. 【0849】 "User input" refers to the conditions and preferences that users provide when searching for rental properties. 【0850】 "Desired conditions" refer to the specific criteria or requirements that users have for rental properties, and searches are conducted based on these. 【0851】 A "real estate information database" is a collection of digital data that stores detailed information about rental properties. 【0852】 "Emotional state" refers to the psychological reactions and emotional states that users exhibit when searching for properties, and this is used to adjust the search results. 【0853】 A "means of dialogue" refers to a technical means by which users and systems exchange information and communicate with each other. 【0854】 "Display means" refers to technical means for visually presenting property information and showing it to users. 【0855】 A "robot device" refers to an automated device designed to provide property information and interact with users. 【0856】 The system for carrying out this invention includes a program that receives desired conditions based on user input, accesses a property information database to search for facility information that matches the conditions, and analyzes the user's emotional state. For emotional state analysis, a robotic device equipped with a camera and microphone is used to capture video and audio data. The server uses the Python libraries "OpenCV" and "TensorFlow" to analyze the user's emotions in real time from the acquired data and adjusts the search results based on the emotions. 【0857】 Subsequently, property information is displayed on the room's walls using projection mapping to optimize the search results for the user. This allows the user to visually experience the property's details. 【0858】 For example, if a user wants to relax after a busy day at work, the robotic device will read their emotions and prioritize presenting properties with a quiet and calming atmosphere. The suggestions to the user are delivered through automated dialogue. 【0859】 Examples of prompts for a generative AI model: 【0860】 "How can we suggest the best property to a user when they are feeling stressed?" 【0861】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0862】 Step 1: 【0863】 The server receives the user's desired conditions via their terminal. These conditions include location, floor plan, rent, etc. Based on these input conditions, the server starts filtering the database to find suitable candidate properties. 【0864】 Step 2: 【0865】 Using the robot device's camera and microphone, the server captures the user's facial expressions and voice. This data is analyzed using OpenCV and TensorFlow to determine the user's emotional state. The results of this analysis are then output as emotion data used in a further filtering process. 【0866】 Step 3: 【0867】 The server re-evaluates the initially filtered property information based on the analyzed sentiment data. It processes the data to match the user's emotional state, adjusting search results accordingly—for example, displaying quiet properties when stressed, or properties with unique designs when excited. This results in optimized search results. 【0868】 Step 4: 【0869】 The adjusted search results are displayed in the user's field of view via projection mapping through a robotic device. Using interactive projection technology, users can experience the property through visual information. 【0870】 Step 5: 【0871】 When a user expresses interest in a property and selects it, it is sent to the server as new data input, and an automated viewing reservation process is initiated. Here, the selected property information is retrieved, used to share the reservation information with the real estate agent, and the user is notified of the result. 【0872】 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. 【0873】 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. 【0874】 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. 【0875】 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. 【0876】 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. 【0877】 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. 【0878】 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. 【0879】 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. 【0880】 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." 【0881】 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. 【0882】 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. 【0883】 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. 【0884】 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. 【0885】 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. 【0886】 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. 【0887】 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. 【0888】 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. 【0889】 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. 【0890】 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. 【0891】 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. 【0892】 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 as being incorporated by reference. 【0893】 The following is further disclosed regarding the embodiments described above. 【0894】 (Claim 1) 【0895】 A means of receiving desired conditions based on user input, 【0896】 A means of accessing the latest real estate information database and searching for property information that matches your desired conditions, 【0897】 Along with the search results, a means of extracting additional information that may be of interest to the user, 【0898】 A means of notifying users of property information and additional information, 【0899】 A means of automatically scheduling viewings based on user selections, 【0900】 A means of sending viewing appointment information to a real estate agent, 【0901】 A system that includes this. 【0902】 (Claim 2) 【0903】 The system described in Claim 1, where the desired conditions include distance from the station, rent, floor plan, year of construction, and whether pets are allowed. 【0904】 (Claim 3) 【0905】 The system according to claim 1, wherein search results are updated in real time. 【0906】 "Example 1" 【0907】 (Claim 1) 【0908】 A means of receiving desired conditions based on user input, 【0909】 A means of accessing the latest information database and searching for relevant information that matches the desired conditions, 【0910】 Along with the search results, a means of extracting additional information that may be of interest to the user, 【0911】 A means of prioritizing and providing relevant similar objects using a generative AI model, 【0912】 A means of notifying users of the target information and additional information, 【0913】 A means of automatically making experience reservations based on user selections, 【0914】 A means of sending experience reservation information to the service provider, 【0915】 A system that includes this. 【0916】 (Claim 2) 【0917】 The system according to claim 1, where the desired conditions include distance from location, price, type, number of years elapsed, and whether or not animals are allowed. 【0918】 (Claim 3) 【0919】 The system according to claim 1, wherein search results are updated in real time. 【0920】 "Application Example 1" 【0921】 (Claim 1) 【0922】 A means of receiving desired conditions via the user's communication terminal, 【0923】 A means of accessing an information processing system and searching for location information that matches the desired conditions, 【0924】 Along with the search results, a means to extract additional information that may be of interest to the user, 【0925】 A means of communicating location information and additional information to the user, 【0926】 A means to automate visit scheduling based on user selection, 【0927】 A means of sending information about planned visits to trading partners, 【0928】 Means for providing cross-platform communication applications, 【0929】 A system that includes this. 【0930】 (Claim 2) 【0931】 The system according to claim 1, where the desired conditions include proximity to public transportation, rent, floor plan, year of construction, and whether pets are allowed. 【0932】 (Claim 3) 【0933】 The system according to claim 1, wherein search results are updated immediately and provided to the user in real time. 【0934】 "Example 2 of combining an emotion engine" 【0935】 (Claim 1) 【0936】 A means of receiving desired conditions based on user input, 【0937】 A means of accessing the latest geographic location database and searching for property information that matches your desired conditions, 【0938】 A means of analyzing the emotional state of users using a generative AI model and adjusting the priority of property information based on the analysis results, 【0939】 A means of notifying users of the adjusted property information, 【0940】 A means of updating the user's emotional state based on the property selected and reflecting it in the next suggestion, 【0941】 A means of automatically scheduling viewings based on user selections, 【0942】 A means of sending viewing appointment information to a real estate agent, 【0943】 A system that includes this. 【0944】 (Claim 2) 【0945】 The system according to claim 1, where the desired conditions include distance from public transport, rent, room layout, year of construction, and pet permission. 【0946】 (Claim 3) 【0947】 The system according to claim 1, wherein search results are updated in real time according to the analyzed emotional state of the user. 【0948】 "Application example 2 when combining with an emotional engine" 【0949】 (Claim 1) 【0950】 A means of receiving desired conditions based on user input, 【0951】 A means of accessing the latest real estate information database and searching for facility information that matches the desired conditions, 【0952】 A means for analyzing the emotional state of users and adjusting search results based on their emotions, 【0953】 Along with the search results, a means of extracting additional information that may be of interest to the user, 【0954】 A means of notifying users of facility information and additional information, 【0955】 A means of automatically scheduling viewings based on user selections, 【0956】 A means of sending viewing appointment information to a real estate agent, 【0957】 A dialogue method for understanding the emotional state of the user, 【0958】 A robotic device equipped with a display means for displaying facility information, 【0959】 A system that includes this. 【0960】 (Claim 2) 【0961】 The system according to claim 1, where the desired conditions include distance from public transportation, rent, floor plan, year of construction, and whether pets are allowed. 【0962】 (Claim 3) 【0963】 The system according to claim 1, wherein search results are updated in real time and optimized according to the user's emotional state. [Explanation of Symbols] 【0964】 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

[Claim 1] A means of receiving desired conditions based on user input, A means of accessing the latest real estate information database and searching for property information that matches your desired conditions, Along with the search results, a means of extracting additional information that may be of interest to the user, A means of notifying users of property information and additional information, A means of automatically scheduling viewings based on user selections, A means of sending viewing appointment information to a real estate agent, A system that includes this. [Claim 2] The system described in Claim 1, where the desired conditions include distance from the station, rent, floor plan, year of construction, and whether pets are allowed. [Claim 3] The system according to claim 1, wherein search results are updated in real time.

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