system

Abstract

We provide the system. [Solution] A means of generating a user profile using information collected from users, A means for collecting product information from external sources of product information, evaluating the reliability of said product information, and filtering it, A means of matching user profiles with filtered product information to select products that match the user's criteria, A means of presenting selected product information to the user and providing an interface that allows for detailed comparison, A means to automate the reservation process based on the user's reservation intention, A means of updating inventory information in real time, A system that includes this.

Description

Technical Field

[0005] ,

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In existing real estate search systems, when a user searches for a property that meets the conditions, it takes a great deal of time to collect information. Furthermore, some of the information obtained may include false or unreliable information. In addition, when a user proceeds with the application procedure, complicated document preparation and communication with real estate agents are required, which also places a burden on the user. The present invention solves these problems and enables a user to search for a property in an efficient and reliable manner and smoothly proceed with the application procedure.

Means for Solving the Problems

[0005] This invention first provides a means for collecting information from users and generating user profiles. Next, it collects property information from external real estate information sources, evaluates its reliability, and filters it. The user profile and the filtered property information are compared, and properties that match the user's criteria are selected. The selected property information is presented to the user through a comparable interface. Furthermore, if the user wishes to view a property, this invention provides a function to automatically contact real estate agents and set up viewing appointments. It also provides a means to automatically fill in the online forms required for the application process, thereby shortening the procedure. This realizes a system that allows users to efficiently select properties and quickly complete the application process.

[0006] A "user profile" is a dataset composed of a user's personal information, preferences, and criteria, and is a collection of information used in selecting real estate properties.

[0007] "Property information" refers to information that includes detailed data about real estate properties, such as location, floor plan, price, facilities, and year of construction.

[0008] "Filtering" is a process that evaluates the reliability of property information and scrutinizes it by excluding false or unreliable information.

[0009] An "interface" is a means for a user to interact with a computer system, and is an environment that provides the user with information in a visual or manipulable form.

[0010] An "online form" is a document template available on the internet, used to automate the input of information from users.

[0011] "Viewing reservation" is the process of scheduling a date for a user to actually visit a property they are interested in and check the details. [Brief explanation of the drawing]

[0012] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0013] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, a processor with a reference number (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 a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0016] In the following embodiments, a RAM (Random Access Memory) with a reference number is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, a storage with a reference number is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0018] 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).

[0019] 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."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] 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.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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".

[0033] This invention is a system that supports the efficient search and application process for real estate properties, and is realized through the mutual cooperation of users, terminals, and servers. Specific embodiments of this system will be described below.

[0034] The terminal first receives input from the user and collects basic information and desired property conditions. For example, age, occupation, family structure, whether or not they have pets, desired rent range, type of floor plan, and workplace. The collected information is then transmitted to the server via the terminal.

[0035] The server generates a user profile based on the received user information. This profile is stored as the base data for property suggestions tailored to the user's preferences and conditions. The server also collects the latest property information from external real estate information sources and related databases, evaluates the reliability of this information, and filters it. Filtering includes checking the accuracy and reliability of the property information.

[0036] The server then matches the filtered property information with the user profile. This selects and prioritizes properties that match the user's desired criteria. As a result, a property list based on specific criteria is generated and sent to the terminal.

[0037] The terminal displays a list of properties received from the server to the user and provides an interface for viewing the details of each property and comparing multiple properties. Based on the information presented, the user can select properties that interest them.

[0038] When a user requests to view a specific property, the device sends that information to the server. The server contacts the real estate agent and automatically schedules the viewing. If the user wishes to purchase the property, the server automatically fills out the necessary online forms and prepares all required documents.

[0039] As a concrete example, consider a user searching for a property with the following conditions: "a 2LDK apartment in the city center that allows pets, with a maximum rent of 100,000 yen." The terminal receives these conditions and transmits the information to the server, which generates a list of properties that match those conditions. A prioritized list is presented to the user, allowing them to compare properties they like and carefully select based on the detailed information. The server then handles the necessary reservations and document preparation, allowing the process to proceed quickly.

[0040] By implementing the present invention in this way, users can efficiently search for real estate properties and complete contract procedures. Furthermore, this system helps to eliminate false information and reduce processing time, enabling decision-making based on highly reliable information.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The terminal presents the user with an initial information input form. The user enters their name, age, occupation, family structure, and desired property conditions (e.g., floor plan, rent, location). After completion, the terminal sends this information to the server.

[0044] Step 2:

[0045] The server generates a user profile based on the received user information. This profile is stored in the database as a dataset that reflects the user's desired conditions and preferences.

[0046] Step 3:

[0047] The server automatically collects property information from external real estate information sources. The collected information includes the property's location, floor plan, rent, amenities, and year of construction.

[0048] Step 4:

[0049] The server analyzes the collected property information and performs reliability checks. It filters out unreliable or potentially false information and organizes the selected information to be provided to users.

[0050] Step 5:

[0051] The server compares the filtered property information with the user profile and selects properties that match the user's criteria. The selected property list is then generated with a priority order.

[0052] Step 6:

[0053] The terminal displays a list of properties received from the server to the user. The list contains detailed information about the properties, which the user can view and compare. The user can also select properties that interest them.

[0054] Step 7:

[0055] When a user expresses interest in a particular property, they send a request for a viewing appointment to the server via their device. The server then contacts the real estate agent and automatically sets up a viewing appointment according to the user's request.

[0056] Step 8:

[0057] If a user wishes to contract or apply for a property, the server automatically fills in the necessary online application form and makes it available for download. The user can then review this information on their device and proceed with the process.

[0058] (Example 1)

[0059] 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."

[0060] Searching for and contracting for real estate properties requires dealing with a vast amount of information, its reliability, and the rapid selection of properties that meet the user's criteria. However, current systems have challenges in terms of efficiency in information gathering and filtering, as well as automating contract procedures. In particular, it takes a long time for users to find properties that meet their desired conditions, and there is a high risk of human error during the process.

[0061] 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.

[0062] In this invention, the server includes means for generating individual user profiles using attribute information collected from users, means for collecting real estate data from external information sources, evaluating the accuracy of the data and selecting it, and means for matching the user profile with the selected real estate data and selecting properties that match the user's conditions. As a result, users can quickly and accurately find properties that match their desired conditions and proceed with the contract procedures efficiently.

[0063] A "user" is an individual or legal entity that uses the system's functions to search for real estate properties and complete contract procedures.

[0064] "Attribute information" refers to data that indicates individual conditions and preferences of a user, such as age, occupation, family structure, whether or not they have pets, desired rent range, type of floor plan, and workplace.

[0065] A "user profile" is a dataset generated based on a user's attribute information, reflecting their preferences and circumstances.

[0066] "Information sources" refer to external data sources that supply real estate property information, such as real estate databases, real estate companies, and related businesses.

[0067] "Real estate data" refers to detailed information about a property, such as its location, price, whether pets are allowed, floor plan, and year of construction.

[0068] "Evaluating and selecting for accuracy" means verifying the reliability and accuracy of collected real estate data, and extracting only truly useful information.

[0069] "Matching" refers to the process of comparing the user profile and real estate data to identify properties that match the user's preferences.

[0070] "Visualization means" refers to an interface that displays selected property information to users, allowing them to check details and compare properties.

[0071] "Automating the application process" refers to the process of automatically creating digital documents and filling out forms necessary to efficiently proceed with the contract procedures for the property selected by the user.

[0072] This invention is a system that supports the efficient search and contract procedures for real estate properties, and provides specific functions through the mutual cooperation of a server, terminal, and user. A specific example of this system is shown below.

[0073] The terminal accepts attribute information from the user. This input includes conditions such as age, occupation, family structure, whether or not they have pets, desired rent range, floor plan type, and workplace. This information is then compiled and sent to the server. The terminal is typically a digital device such as a smartphone or computer.

[0074] The server generates individual user profiles based on information received from the terminal. These profiles reflect the user's preferences and are stored in a database. Subsequently, the server retrieves the latest real estate data from external information sources via APIs, evaluates the accuracy of that data, and selects the necessary information. This process utilizes machine learning algorithms and generative AI models to improve the accuracy of data evaluation and selection.

[0075] The server matches the generated user profile with the filtered real estate data to identify properties that match the user's desired criteria. The selected properties are then sent to the user's device, allowing them to view and compare property details on their own device. The interface is designed with ease of use in mind, ensuring users can easily access the information they need.

[0076] For example, if a user is searching for a property with the conditions "a 2LDK apartment in the city center that allows pets, with a maximum rent of 100,000 yen," the terminal inputs this information and sends it to the server. The server generates a list of properties that match the conditions and sends it to the terminal, helping the user compare and select properties. After that, the server automates procedures such as reservations and document preparation, allowing the user to proceed with the contract quickly.

[0077] An example of a prompt message is, "I'm looking for a 2LDK apartment that allows pets. My rent is limited to 100,000 yen, and I prefer an apartment in the city center." The user's preferences can be expressed in this format. Based on this prompt, the system will perform a suitable property search.

[0078] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0079] Step 1:

[0080] The terminal accepts attribute information from the user as input. Specifically, it prompts the user to input information such as age, occupation, family structure, whether they have pets, desired rent range, floor plan, and workplace via the interface. The terminal organizes this information and converts it into a format that the server can process. As output, it generates this organized dataset.

[0081] Step 2:

[0082] The server receives a dataset sent from the terminal as input and generates a user profile based on that information. This profile generation process includes classifying attribute information and storing it in a database format. Using a generative AI model, it estimates the user's wishes and preferences and outputs profile data that takes these into account.

[0083] Step 3:

[0084] The server collects real estate data from external information sources. At this stage, the latest property information is obtained in real time via an API and stored as input on the server. The data is checked for accuracy and consistency, and filtering is performed to retain only reliable information. As output, evaluated real estate data is obtained.

[0085] Step 4:

[0086] The server matches the generated user profile with filtered real estate data as input. This process utilizes database search functionality to select properties that match the user's criteria. The generation AI model leverages historical data and the preferences of similar users to prioritize listing recommended properties. The output is a list of properties that meet the criteria.

[0087] Step 5:

[0088] The server sends a list of properties that meet the specified criteria to the terminal. The terminal receives this list as input and displays it visualized on the user's screen. The user can then view the details of the presented properties and utilize comparison functions. The output provides an interface that the user can use.

[0089] Step 6:

[0090] When a user expresses interest in a particular property, that information is sent to the server via their device. Based on this input, the server automatically contacts the real estate agent and sets up a viewing appointment. The system notifies the user of the appointment date, time, and confirmation details. Finally, the user receives confirmation of the viewing appointment.

[0091] Step 7:

[0092] When a user wishes to contract for a property, the terminal transmits this intention to the server. The server generates the necessary digital forms for the application process and automates the process to enable the most efficient online contract procedure. It prepares all necessary documents and provides the user with a means of digital signature. As output, the process for completing the contract is provided in a simplified format.

[0093] (Application Example 1)

[0094] 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."

[0095] There is a problem with searching for and reserving products in physical stores, which is cumbersome and time-consuming. As a result, consumers face the challenge of not being able to efficiently select and purchase products. In addition, because inventory information is not updated in real time, consumers sometimes find that the product they want is not available when they visit a physical store.

[0096] 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.

[0097] In this invention, the server includes means for generating a user profile using information collected from the user; means for collecting product information from an external source of product information, evaluating the reliability of the product information, and filtering it; means for comparing the user profile with the filtered product information and selecting products that match the user's criteria; means for presenting the selected product information to the user and providing an interface that allows for detailed comparison; means for automating the reservation process based on the user's reservation intention; and means for updating inventory information in real time. This enables consumers to efficiently find products that meet their criteria and to quickly complete reservation and purchase procedures.

[0098] A "user profile" is a collection of personal data generated based on attribute information and preferences collected from users.

[0099] "Product information source" refers to an external database or web service that provides information about products.

[0100] "Filtering" is the process of selecting only the necessary information from collected data based on its reliability and relevance.

[0101] An "interface" is a system function that provides a means for users to visually confirm and manipulate information.

[0102] "Automated reservation procedures" refers to a system where a program automatically performs the necessary actions for making a reservation based on the user's preferences.

[0103] "Real-time updates" refer to the process of instantly reflecting the latest information in the system.

[0104] To implement this invention, a system is needed to match user needs with product information. The server uses information provided by the user's smartphone to generate a user profile. The user profile includes the user's interests and purchase history and is used for product recommendations.

[0105] The server also filters product information obtained from external sources. In this process, the server evaluates the product information based on reliability and relevance, selecting products that meet the user's criteria. The selected products are presented to the user along with real-time updated inventory information.

[0106] Users can view product information and make reservations through a smartphone interface. Reservations are automated, with the system performing all necessary actions. This process utilizes a React Native frontend and Node.js and MongoDB backend, enabling real-time information processing.

[0107] For example, if a user enters a prompt such as, "I'm looking for branded sneakers under 10,000 yen. Please recommend some products," the server can instantly find products that match the criteria and present them in the app. By coordinating with the device and efficiently delivering the latest product information to the user, the consumer experience can be improved.

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The device receives information about the user's preferences as input. Specifically, it obtains desired conditions such as product category, price range, and brand. This input data is entered on the user's smartphone and used to update the user profile. The entered information is then sent from the device to the server.

[0111] Step 2:

[0112] The server generates or updates user profiles based on the user's requested information. These user profiles record user trends, including past preference and purchase history. This data is stored in MongoDB and used later for product selection.

[0113] Step 3:

[0114] The server collects and filters product information from external sources. During this process, the server evaluates the reliability of the products and selects information based on evaluation criteria. The filtered product information is then used to match user criteria. Node.js is used for information collection and processing.

[0115] Step 4:

[0116] The server matches user profiles with filtered product information to select products that meet the criteria. The matching process uses a generative AI model to suggest products based on prompt messages. The selected products are then listed with priority.

[0117] Step 5:

[0118] The server transmits the selected product information, along with real-time inventory status, to the terminal. The real-time update function allows the user to see the latest information obtained from the inventory database. Users can view and compare product lists on their smartphones.

[0119] Step 6:

[0120] When a user selects the product they wish to reserve, the device sends that information back to the server. The server automates the reservation process and, based on the necessary information, places a reservation request with partner stores. Once the reservation process is complete, confirmation information is sent to the user's smartphone.

[0121] 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.

[0122] The present invention is a system that takes user emotions into consideration when searching for and applying for real estate properties, and realizes its functionality through the cooperation of the user, terminal, server, and emotion engine. Specific embodiments of the present invention will be described below.

[0123] The device collects initial user information and obtains emotional data through the user's face and voice. This emotional data is sent to an emotion engine to analyze the user's current emotional state using a complex algorithm. For example, it analyzes the user's facial expressions and voice tone while they are browsing properties.

[0124] The server generates a user profile based on received user information and emotional data, and then provides property recommendations accordingly. These recommendations are optimized not only based on the user's desired conditions but also on their emotional state. For example, if a user is feeling stressed, the server will focus on presenting properties with relaxing environments and provide a user-friendly interface with clearly organized property photos and information.

[0125] The server also filters and verifies the reliability of property information collected from external real estate sources. At this stage, the emotion engine's output influences the property selection algorithm, generating a list of properties that are more appealing to users. This list is then prioritized based on emotion and property selection, and sent to the terminal.

[0126] The device provides the user with a list of properties received from the server and presents detailed information in a way that matches the user's emotional state. The emotional API evaluates the user's reaction to the information and dynamically adjusts the interface to continuously enhance the user experience. It also automates the process of scheduling viewings and submitting applications for properties the user has shown interest in, and the response is flexibly optimized based on emotional data.

[0127] As a concrete example, consider a user searching for a pet-friendly apartment located in a lush natural environment, with a budget of 120,000 yen or less. In this case, the emotional engine senses that the user is feeling a little anxious while searching for a property and prioritizes suggesting properties surrounded by nature that can provide relaxation. Furthermore, the UI is adjusted to soft colors and layouts that match that mood, and care is taken to avoid overwhelming the user with information.

[0128] As described above, this system, which incorporates an emotion engine, allows users to receive customized property suggestions that take their emotions into consideration, resulting in a comfortable and stress-free real estate transaction.

[0129] The following describes the processing flow.

[0130] Step 1:

[0131] The device activates an initial information input form and a camera and microphone for emotion detection for the user. The user enters the necessary information into the form (e.g., desired property conditions, budget, etc.) and provides emotion data through their face and voice. The emotion data is sent to the emotion engine in real time.

[0132] Step 2:

[0133] The emotion engine analyzes the user's facial expressions and tone of voice to identify their current emotional state. For example, it can determine whether the user is relaxed or stressed. This emotional information is sent to the server and reflected in the user profile.

[0134] Step 3:

[0135] The server generates a user profile based on the received sentiment data and initial user information. This profile includes the user's criteria and sentiment information, and is stored in the database as foundational data for property recommendations.

[0136] Step 4:

[0137] The server collects property information from external real estate sources and evaluates the reliability of the collected information based on its own algorithm. Filtered properties are prioritized considering sentiment data, and a list is created that matches the user's sentiment.

[0138] Step 5:

[0139] The server uses the output of the emotion engine to build an interface that optimizes how property information is presented. This interface is adjusted in terms of color and layout according to the user's emotions and is then sent to the terminal.

[0140] Step 6:

[0141] The terminal provides the user with a list of properties received from the server and an optimized interface. Through the interface, users can browse properties and compare details to make efficient selections.

[0142] Step 7:

[0143] When a user expresses interest in a particular property, they send a request for a viewing from their device to the server. The server automatically contacts the real estate agent and schedules a viewing appointment.

[0144] Step 8:

[0145] When a user wishes to proceed with the property contract process, the server automatically fills in the necessary online application forms based on information obtained from the emotion engine and provides them in a downloadable format. Users can then review the documents via their device and complete the process quickly.

[0146] (Example 2)

[0147] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0148] Traditional real estate systems have suffered from a lack of consideration for users' emotional states and insufficient optimization of the user experience, resulting in a stressful and personalized property selection process. Furthermore, limited methods for streamlining procedures such as applications and viewings have reduced user convenience.

[0149] 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.

[0150] In this invention, the server includes a mechanism for generating individual profiles based on information obtained from the user, a mechanism for taking in property information obtained from an external database, analyzing its reliability, and narrowing down the options, a mechanism for comparing the generated profiles with the narrowed-down property information and selecting properties that meet the user's desired conditions, and a mechanism for measuring and analyzing the user's emotional data and reflecting it in the property suggestions and display content. This makes it possible to suggest properties that take the user's emotions into consideration, providing a more comfortable and personalized user experience.

[0151] A "user" refers to an individual or group that uses the system to search for properties and receive suggestions.

[0152] A "profile" refers to an individual dataset that encompasses user information, preferences, and analyzed emotional states.

[0153] "External databases" refer to external sources or platforms that provide real estate information.

[0154] "Property information" refers to data related to real estate properties, such as location, price, and characteristics.

[0155] "Reliability analysis" refers to the process of evaluating the accuracy and reliability of collected property information and retaining only reliable information.

[0156] The "selection mechanism" refers to an algorithm that identifies and selects the most suitable property based on the user profile.

[0157] "Emotional data" refers to information obtained and analyzed from a user's emotional state, such as facial expressions and voice.

[0158] The "reflection mechanism" refers to the process of ensuring that the analyzed sentiment data influences property recommendations and the user interface.

[0159] This invention is a system that enables suggestions that take user emotions into consideration during real estate searches, and its functionality is achieved through the integrated operation of a terminal, server, and emotion engine.

[0160] The device provides an interface for obtaining user input and uses a camera and microphone to collect emotional data from the user's facial expressions and voice. This utilizes facial recognition technology and voice analysis software. The information and emotional data collected based on user input are transmitted to the server in real time.

[0161] The server uses a generative AI model to process the received data. Specifically, it generates a user profile based on emotional data analyzed by the emotion engine, and then filters property information obtained from an external database based on this profile. This selects the most suitable property that reflects the user's desired conditions and emotions. The selected property information is then reflected on the display platform and provided to the user.

[0162] For example, if a user enters the conditions "I'm looking for an apartment in a nature-rich environment where I can live with my pet, and my budget is under 100,000 yen," the emotion engine will determine that the user is in the mood to relax. The server then prioritizes listing properties that are environmentally friendly, based on these conditions and emotions. The UI will also be adapted to this emotion, decorated with colors that evoke nature.

[0163] An example of a prompt message would be, "Suggest a pet-friendly apartment surrounded by nature, given the user's desire for a relaxed environment." This system can be implemented by inputting such a message. This system improves the user experience and enables less stressful real estate transactions.

[0164] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0165] Step 1:

[0166] The terminal collects input information from the user. It provides an interface for the user to input their desired property conditions (e.g., budget, location, pet-friendly, etc.). Furthermore, the terminal's camera and microphone are used to capture the user's facial expressions and voice tone in real time. This collected data is used as input and sent to the server for analysis of the user's emotional state.

[0167] Step 2:

[0168] The server takes received facial expression and voice data as input and uses an emotion engine to analyze the user's emotional state. This analysis uses machine learning algorithms to output emotion labels such as "reassured" or "anxious." This identifies the user's current emotional state and is used to make future suggestions.

[0169] Step 3:

[0170] The server generates individual user profiles based on the user's basic information and emotional state. This process utilizes the emotional labels obtained in the previous step and the user's input preferences, resulting in a customized user profile.

[0171] Step 4:

[0172] The server retrieves property information from an external database and filters the relevant data. This filtering uses the generated user profile as input. Highly reliable property information is selected, and a list of properties best suited to the user's preferences and preferences is output.

[0173] Step 5:

[0174] The server prioritizes the filtered property list to avoid errors and outputs it to the terminal. This prepares the terminal for user display.

[0175] Step 6:

[0176] The terminal displays the received property list to the user. The UI conveys information to the user using emotionally resonant color schemes and layouts. User reactions are observed, and the interface is dynamically adjusted as needed. Property details are presented in an easy-to-read and well-organized format for comfortable viewing.

[0177] Step 7:

[0178] Users can indicate their intention to schedule a viewing or apply for a proposed property. The terminal processes this input and automatically proceeds with the process. The output generated at this stage is a reservation confirmation or application completion notice.

[0179] (Application Example 2)

[0180] 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".

[0181] In recent years, there has been a growing demand for electronic payment systems that alleviate user anxiety and dissatisfaction, providing a more comfortable and secure user experience. However, conventional systems often fail to adequately optimize the user experience because they are not designed with user emotions in mind.

[0182] 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.

[0183] In this invention, the server includes means for generating a user profile using information collected from the user, means for collecting information from external property information sources, evaluating the reliability of the information and filtering it, and means for comparing the user profile with the filtered information and selecting items that match the user's conditions. This enables a comfortable digital purchasing experience that is sensitive to the user's emotions by acquiring user emotional data and optimizing the payment process based on that data.

[0184] A "user profile" is a collection of digital data that reflects the characteristics and preferences of a user, based on information collected from that user.

[0185] A "property information source" refers to a resource or database used to collect information from external sources, providing reliable property data.

[0186] "Emotional data" refers to information that indicates a user's current emotions, obtained through facial recognition and voice tone analysis.

[0187] An "interface" refers to the display screen or operating method that allows a system and a user to interact directly, and its role is to provide information to the user in an easy-to-understand manner.

[0188] An "application process" is a formal procedure that a user performs for items or services they have expressed interest in, and it is a process that can be automated.

[0189] The system for implementing this invention aims to provide a sense of security by optimizing the user's electronic payment experience in accordance with their emotions. This system is realized by coordinating a user terminal, a server, and an emotion analysis engine.

[0190] Users access online shopping platforms through devices such as smartphones. During this process, the device uses its camera and microphone to collect emotional data, such as the user's facial expressions and voice tone. This collected data is then transmitted to a server in the cloud.

[0191] The server uses machine learning-based software (e.g., machine learning API, emotion recognition API) for facial recognition and voice tone analysis. It analyzes the user's emotional state and generates a profile to optimize the interface during the payment process. This profile aims to reduce user anxiety and provide a sense of security, and is reflected in the user interface.

[0192] For example, if a user is about to purchase a new electronic device, the server detects from emotional data that the user is feeling anxious about the unfamiliar, expensive product. The system then displays messages to alleviate that anxiety and simplifies the payment process, thereby encouraging the user to make a smooth purchase.

[0193] As an example of a prompt message for a generating AI model, you can specify the content the system should generate by saying, "Please display a message that alleviates anxiety so that the user can complete their online purchase with peace of mind."

[0194] In this way, the system customizes the electronic payment experience based on the user's emotions, providing comfort and reliability.

[0195] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0196] Step 1:

[0197] The device collects the user's facial expressions and voice. Specifically, it uses the smartphone's camera and microphone to record the user's facial expressions and voice tone in real time. This input data is then prepared to be sent to an emotion analysis engine.

[0198] Step 2:

[0199] The server receives facial expression and voice tone data sent from the terminal. Next, it uses an emotion recognition API to analyze the user's emotional state from this data. The analysis results output data indicating an emotional state, such as "relaxed," "stressed," or "anxious."

[0200] Step 3:

[0201] The server updates the user profile using the sentiment analysis results. The user profile includes not only the user's preferences and behavioral history, but also their current emotional state. This profile is then used to output data for appropriate interface adjustments for the user.

[0202] Step 4:

[0203] The server generates an optimal interface based on the user profile and current purchase history. For example, if the profile contains data indicating anxiety, the interface will be adjusted to be simple and reassuring. This output is sent to and displayed on the terminal.

[0204] Step 5:

[0205] The terminal displays an optimized view for the user based on interface adjustment information received from the server. This creates an environment where users can proceed with the payment process with peace of mind. As an example prompt, it generates and displays the message "Please display a message to support the user so that they can complete the purchase with peace of mind."

[0206] In this way, the entire system works together to provide a digital payment experience that is sensitive to the user's emotions.

[0207] 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.

[0208] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), 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.

[0209] 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.

[0210] [Second Embodiment]

[0211] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0212] 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.

[0213] 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).

[0214] 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.

[0215] 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.

[0216] 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).

[0217] 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.

[0218] 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.

[0219] 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.

[0220] 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.

[0221] 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.

[0222] 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".

[0223] This invention is a system that supports the efficient search and application process for real estate properties, and is realized through the mutual cooperation of users, terminals, and servers. Specific embodiments of this system will be described below.

[0224] The terminal first receives input from the user and collects basic information and desired property conditions. For example, age, occupation, family structure, whether or not they have pets, desired rent range, type of floor plan, and workplace. The collected information is then transmitted to the server via the terminal.

[0225] The server generates a user profile based on the received user information. This profile is stored as the base data for property suggestions tailored to the user's preferences and conditions. The server also collects the latest property information from external real estate information sources and related databases, evaluates the reliability of this information, and filters it. Filtering includes checking the accuracy and reliability of the property information.

[0226] The server then matches the filtered property information with the user profile. This selects and prioritizes properties that match the user's desired criteria. As a result, a property list based on specific criteria is generated and sent to the terminal.

[0227] The terminal displays a list of properties received from the server to the user and provides an interface for viewing the details of each property and comparing multiple properties. Based on the information presented, the user can select properties that interest them.

[0228] When a user requests to view a specific property, the device sends that information to the server. The server contacts the real estate agent and automatically schedules the viewing. If the user wishes to purchase the property, the server automatically fills out the necessary online forms and prepares all required documents.

[0229] As a concrete example, consider a user searching for a property with the following conditions: "a 2LDK apartment in the city center that allows pets, with a maximum rent of 100,000 yen." The terminal receives these conditions and transmits the information to the server, which generates a list of properties that match those conditions. A prioritized list is presented to the user, allowing them to compare properties they like and carefully select based on the detailed information. The server then handles the necessary reservations and document preparation, allowing the process to proceed quickly.

[0230] By implementing the present invention in this way, users can efficiently search for real estate properties and complete contract procedures. Furthermore, this system helps to eliminate false information and reduce processing time, enabling decision-making based on highly reliable information.

[0231] The following describes the processing flow.

[0232] Step 1:

[0233] The terminal presents the user with an initial information input form. The user enters their name, age, occupation, family structure, and desired property conditions (e.g., floor plan, rent, location). After completion, the terminal sends this information to the server.

[0234] Step 2:

[0235] The server generates a user profile based on the received user information. This profile is stored in the database as a dataset that reflects the user's desired conditions and preferences.

[0236] Step 3:

[0237] The server automatically collects property information from external real estate information sources. The collected information includes the property's location, floor plan, rent, amenities, and year of construction.

[0238] Step 4:

[0239] The server analyzes the collected property information and performs reliability checks. It filters out unreliable or potentially false information and organizes the selected information to be provided to users.

[0240] Step 5:

[0241] The server compares the filtered property information with the user profile and selects properties that match the user's criteria. The selected property list is then generated with a priority order.

[0242] Step 6:

[0243] The terminal displays a list of properties received from the server to the user. The list contains detailed information about the properties, which the user can view and compare. The user can also select properties that interest them.

[0244] Step 7:

[0245] When a user expresses interest in a particular property, they send a request for a viewing appointment to the server via their device. The server then contacts the real estate agent and automatically sets up a viewing appointment according to the user's request.

[0246] Step 8:

[0247] If a user wishes to contract or apply for a property, the server automatically fills in the necessary online application form and makes it available for download. The user can then review this information on their device and proceed with the process.

[0248] (Example 1)

[0249] 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."

[0250] Searching for and contracting for real estate properties requires dealing with a vast amount of information, its reliability, and the rapid selection of properties that meet the user's criteria. However, current systems have challenges in terms of efficiency in information gathering and filtering, as well as automating contract procedures. In particular, it takes a long time for users to find properties that meet their desired conditions, and there is a high risk of human error during the process.

[0251] 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.

[0252] In this invention, the server includes means for generating individual user profiles using attribute information collected from users, means for collecting real estate data from external information sources, evaluating the accuracy of the data and selecting it, and means for matching the user profile with the selected real estate data and selecting properties that match the user's conditions. As a result, users can quickly and accurately find properties that match their desired conditions and proceed with the contract procedures efficiently.

[0253] A "user" is an individual or legal entity that uses the system's functions to search for real estate properties and complete contract procedures.

[0254] "Attribute information" refers to data that indicates individual conditions and preferences of a user, such as age, occupation, family structure, whether or not they have pets, desired rent range, type of floor plan, and workplace.

[0255] A "user profile" is a dataset generated based on a user's attribute information, reflecting their preferences and circumstances.

[0256] "Information sources" refer to external data sources that supply real estate property information, such as real estate databases, real estate companies, and related businesses.

[0257] "Real estate data" refers to detailed information about a property, such as its location, price, whether pets are allowed, floor plan, and year of construction.

[0258] "Evaluating and selecting for accuracy" means verifying the reliability and accuracy of collected real estate data, and extracting only truly useful information.

[0259] "Matching" refers to the process of comparing the user profile and real estate data to identify properties that match the user's preferences.

[0260] "Visualization means" refers to an interface that displays selected property information to users, allowing them to check details and compare properties.

[0261] "Automating the application process" refers to the process of automatically creating digital documents and filling out forms necessary to efficiently proceed with the contract procedures for the property selected by the user.

[0262] This invention is a system that supports the efficient search and contract procedures for real estate properties, and provides specific functions through the mutual cooperation of a server, terminal, and user. A specific example of this system is shown below.

[0263] The terminal accepts attribute information from the user. This input includes conditions such as age, occupation, family structure, whether or not they have pets, desired rent range, floor plan type, and workplace. This information is then compiled and sent to the server. The terminal is typically a digital device such as a smartphone or computer.

[0264] The server generates individual user profiles based on information received from the terminal. These profiles reflect the user's preferences and are stored in a database. Subsequently, the server retrieves the latest real estate data from external information sources via APIs, evaluates the accuracy of that data, and selects the necessary information. This process utilizes machine learning algorithms and generative AI models to improve the accuracy of data evaluation and selection.

[0265] The server matches the generated user profile with the filtered real estate data to identify properties that match the user's desired criteria. The selected properties are then sent to the user's device, allowing them to view and compare property details on their own device. The interface is designed with ease of use in mind, ensuring users can easily access the information they need.

[0266] For example, if a user is searching for a property with the conditions "a 2LDK apartment in the city center that allows pets, with a maximum rent of 100,000 yen," the terminal inputs this information and sends it to the server. The server generates a list of properties that match the conditions and sends it to the terminal, helping the user compare and select properties. After that, the server automates procedures such as reservations and document preparation, allowing the user to proceed with the contract quickly.

[0267] An example of a prompt message is, "I'm looking for a 2LDK apartment that allows pets. My rent is limited to 100,000 yen, and I prefer an apartment in the city center." The user's preferences can be expressed in this format. Based on this prompt, the system will perform a suitable property search.

[0268] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0269] Step 1:

[0270] The terminal accepts attribute information from the user as input. Specifically, it prompts the user to input information such as age, occupation, family structure, whether they have pets, desired rent range, floor plan, and workplace via the interface. The terminal organizes this information and converts it into a format that the server can process. As output, it generates this organized dataset.

[0271] Step 2:

[0272] The server receives a dataset sent from the terminal as input and generates a user profile based on that information. This profile generation process includes classifying attribute information and storing it in a database format. Using a generative AI model, it estimates the user's wishes and preferences and outputs profile data that takes these into account.

[0273] Step 3:

[0274] The server collects real estate data from external information sources. At this stage, the latest property information is obtained in real time via an API and stored as input on the server. The data is checked for accuracy and consistency, and filtering is performed to retain only reliable information. As output, evaluated real estate data is obtained.

[0275] Step 4:

[0276] The server matches the generated user profile with filtered real estate data as input. This process utilizes database search functionality to select properties that match the user's criteria. The generation AI model leverages historical data and the preferences of similar users to prioritize listing recommended properties. The output is a list of properties that meet the criteria.

[0277] Step 5:

[0278] The server sends a list of properties that meet the specified criteria to the terminal. The terminal receives this list as input and displays it visualized on the user's screen. The user can then view the details of the presented properties and utilize comparison functions. The output provides an interface that the user can use.

[0279] Step 6:

[0280] When a user expresses interest in a particular property, that information is sent to the server via their device. Based on this input, the server automatically contacts the real estate agent and sets up a viewing appointment. The system notifies the user of the appointment date, time, and confirmation details. Finally, the user receives confirmation of the viewing appointment.

[0281] Step 7:

[0282] When a user wishes to enter into a property contract, the terminal conveys this intention to the server. The server generates the digital forms required for the application process and automates it to enable an optimal online contract process. It prepares all the necessary documents and provides the means for digital signature to the user. As output, a process for contract completion is provided in a simplified format.

[0283] (Application Example 1)

[0284] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0285] There is a problem that searching for and reserving products in physical stores is cumbersome and time-consuming. For this reason, consumers have the problem that it is difficult to efficiently select and purchase products. Also, since real-time updates of inventory information are not performed, there is also a problem that when consumers visit a physical store, there is no product of interest.

[0286] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0287] In this invention, the server includes means for generating a user profile using information collected from the user, means for collecting product information from an external product information source, evaluating the reliability of the product information, and filtering it, means for collating the user profile and the filtered product information to select products that meet the user's conditions, means for presenting the selected product information to the user and providing an interface that enables comparison of details, means for automating the reservation process based on the user's reservation intention, and means for updating inventory information in real time. As a result, consumers can efficiently find products that meet their conditions and quickly proceed with the reservation and purchase procedures.

[0288] The "user profile" is a collection of personal data generated based on the attribute information and preferences collected from the user.

[0289] "Product information source" refers to an external database or web service that provides information about products.

[0290] "Filtering" is the process of selecting only the necessary information from collected data based on its reliability and relevance.

[0291] An "interface" is a system function that provides a means for users to visually confirm and manipulate information.

[0292] "Automated reservation procedures" refers to a system where a program automatically performs the necessary actions for making a reservation based on the user's preferences.

[0293] "Real-time updates" refer to the process of instantly reflecting the latest information in the system.

[0294] To implement this invention, a system is needed to match user needs with product information. The server uses information provided by the user's smartphone to generate a user profile. The user profile includes the user's interests and purchase history and is used for product recommendations.

[0295] The server also filters product information obtained from external sources. In this process, the server evaluates the product information based on reliability and relevance, selecting products that meet the user's criteria. The selected products are presented to the user along with real-time updated inventory information.

[0296] Users can view product information and make reservations through a smartphone interface. Reservations are automated, with the system performing all necessary actions. This process utilizes a React Native frontend and Node.js and MongoDB backend, enabling real-time information processing.

[0297] For example, if a user enters a prompt such as, "I'm looking for branded sneakers under 10,000 yen. Please recommend some products," the server can instantly find products that match the criteria and present them in the app. By coordinating with the device and efficiently delivering the latest product information to the user, the consumer experience can be improved.

[0298] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0299] Step 1:

[0300] The device receives information about the user's preferences as input. Specifically, it obtains desired conditions such as product category, price range, and brand. This input data is entered on the user's smartphone and used to update the user profile. The entered information is then sent from the device to the server.

[0301] Step 2:

[0302] The server generates or updates user profiles based on the user's requested information. These user profiles record user trends, including past preference and purchase history. This data is stored in MongoDB and used later for product selection.

[0303] Step 3:

[0304] The server collects and filters product information from external sources. During this process, the server evaluates the reliability of the products and selects information based on evaluation criteria. The filtered product information is then used to match user criteria. Node.js is used for information collection and processing.

[0305] Step 4:

[0306] The server matches the user profile with the filtered product information and selects products that meet the criteria. In the matching process, a generative AI model is used to propose products from the prompt text. The selected products are listed with priorities.

[0307] Step 5:

[0308] The server sends the selected product information to the terminal together with the real-time inventory status.The real-time update function enables the presentation of the latest information obtained from the inventory database to the user. The user can view and compare the product list on the smartphone.

[0309] Step 6:

[0310] When the user selects a product for reservation, the terminal returns the information to the server. The server automates the reservation process and makes a reservation request to the partner store based on the necessary information. When the reservation process is completed, confirmation information is sent to the user's smartphone.

[0311] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform specific processing using the user's emotion.

[0312] The present invention is a system that makes proposals considering the user's emotion in the search and application procedures for real estate properties, and the user, terminal, server, and emotion engine cooperate to realize its functions. Hereinafter, specific embodiments of the present invention will be described.

[0313] The terminal collects the user's initial information and obtains emotion data through the user's face and voice. This emotion data is sent to the emotion engine to analyze the emotional state that the user is currently holding by a complex algorithm. For example, the expression and voice tone when the user is browsing the property are analyzed.

[0314] The server generates a user profile based on received user information and emotional data, and then provides property recommendations accordingly. These recommendations are optimized not only based on the user's desired conditions but also on their emotional state. For example, if a user is feeling stressed, the server will focus on presenting properties with relaxing environments and provide a user-friendly interface with clearly organized property photos and information.

[0315] The server also filters and verifies the reliability of property information collected from external real estate sources. At this stage, the emotion engine's output influences the property selection algorithm, generating a list of properties that are more appealing to users. This list is then prioritized based on emotion and property selection, and sent to the terminal.

[0316] The device provides the user with a list of properties received from the server and presents detailed information in a way that matches the user's emotional state. The emotional API evaluates the user's reaction to the information and dynamically adjusts the interface to continuously enhance the user experience. It also automates the process of scheduling viewings and submitting applications for properties the user has shown interest in, and the response is flexibly optimized based on emotional data.

[0317] As a concrete example, consider a user searching for a pet-friendly apartment located in a lush natural environment, with a budget of 120,000 yen or less. In this case, the emotional engine senses that the user is feeling a little anxious while searching for a property and prioritizes suggesting properties surrounded by nature that can provide relaxation. Furthermore, the UI is adjusted to soft colors and layouts that match that mood, and care is taken to avoid overwhelming the user with information.

[0318] As described above, this system, which incorporates an emotion engine, allows users to receive customized property suggestions that take their emotions into consideration, resulting in a comfortable and stress-free real estate transaction.

[0319] The following describes the processing flow.

[0320] Step 1:

[0321] The device activates an initial information input form and a camera and microphone for emotion detection for the user. The user enters the necessary information into the form (e.g., desired property conditions, budget, etc.) and provides emotion data through their face and voice. The emotion data is sent to the emotion engine in real time.

[0322] Step 2:

[0323] The emotion engine analyzes the user's facial expressions and tone of voice to identify their current emotional state. For example, it can determine whether the user is relaxed or stressed. This emotional information is sent to the server and reflected in the user profile.

[0324] Step 3:

[0325] The server generates a user profile based on the received sentiment data and initial user information. This profile includes the user's criteria and sentiment information, and is stored in the database as foundational data for property recommendations.

[0326] Step 4:

[0327] The server collects property information from external real estate sources and evaluates the reliability of the collected information based on its own algorithm. Filtered properties are prioritized considering sentiment data, and a list is created that matches the user's sentiment.

[0328] Step 5:

[0329] The server uses the output of the emotion engine to build an interface that optimizes how property information is presented. This interface is adjusted in terms of color and layout according to the user's emotions and is then sent to the terminal.

[0330] Step 6:

[0331] The terminal provides the user with a list of properties received from the server and an optimized interface. Through the interface, users can browse properties and compare details to make efficient selections.

[0332] Step 7:

[0333] When a user expresses interest in a particular property, they send a request for a viewing from their device to the server. The server automatically contacts the real estate agent and schedules a viewing appointment.

[0334] Step 8:

[0335] When a user wishes to proceed with the property contract process, the server automatically fills in the necessary online application forms based on information obtained from the emotion engine and provides them in a downloadable format. Users can then review the documents via their device and complete the process quickly.

[0336] (Example 2)

[0337] 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".

[0338] Traditional real estate systems have suffered from a lack of consideration for users' emotional states and insufficient optimization of the user experience, resulting in a stressful and personalized property selection process. Furthermore, limited methods for streamlining procedures such as applications and viewings have reduced user convenience.

[0339] 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.

[0340] In this invention, the server includes a mechanism for generating individual profiles based on information obtained from the user, a mechanism for taking in property information obtained from an external database, analyzing its reliability, and narrowing down the options, a mechanism for comparing the generated profiles with the narrowed-down property information and selecting properties that meet the user's desired conditions, and a mechanism for measuring and analyzing the user's emotional data and reflecting it in the property suggestions and display content. This makes it possible to suggest properties that take the user's emotions into consideration, providing a more comfortable and personalized user experience.

[0341] A "user" refers to an individual or group that uses the system to search for properties and receive suggestions.

[0342] A "profile" refers to an individual dataset that encompasses user information, preferences, and analyzed emotional states.

[0343] "External databases" refer to external sources or platforms that provide real estate information.

[0344] "Property information" refers to data related to real estate properties, such as location, price, and characteristics.

[0345] "Reliability analysis" refers to the process of evaluating the accuracy and reliability of collected property information and retaining only reliable information.

[0346] The "selection mechanism" refers to an algorithm that identifies and selects the most suitable property based on the user profile.

[0347] "Emotional data" refers to information obtained and analyzed from a user's emotional state, such as facial expressions and voice.

[0348] The "reflection mechanism" refers to the process of ensuring that the analyzed sentiment data influences property recommendations and the user interface.

[0349] This invention is a system that enables suggestions that take user emotions into consideration during real estate searches, and its functionality is achieved through the integrated operation of a terminal, server, and emotion engine.

[0350] The device provides an interface for obtaining user input and uses a camera and microphone to collect emotional data from the user's facial expressions and voice. This utilizes facial recognition technology and voice analysis software. The information and emotional data collected based on user input are transmitted to the server in real time.

[0351] The server uses a generative AI model to process the received data. Specifically, it generates a user profile based on emotional data analyzed by the emotion engine, and then filters property information obtained from an external database based on this profile. This selects the most suitable property that reflects the user's desired conditions and emotions. The selected property information is then reflected on the display platform and provided to the user.

[0352] For example, if a user enters the conditions "I'm looking for an apartment in a nature-rich environment where I can live with my pet, and my budget is under 100,000 yen," the emotion engine will determine that the user is in the mood to relax. The server then prioritizes listing properties that are environmentally friendly, based on these conditions and emotions. The UI will also be adapted to this emotion, decorated with colors that evoke nature.

[0353] An example of a prompt message would be, "Suggest a pet-friendly apartment surrounded by nature, given the user's desire for a relaxed environment." This system can be implemented by inputting such a message. This system improves the user experience and enables less stressful real estate transactions.

[0354] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0355] Step 1:

[0356] The terminal collects input information from the user. It provides an interface for the user to input their desired property conditions (e.g., budget, location, pet-friendly, etc.). Furthermore, the terminal's camera and microphone are used to capture the user's facial expressions and voice tone in real time. This collected data is used as input and sent to the server for analysis of the user's emotional state.

[0357] Step 2:

[0358] The server takes received facial expression and voice data as input and uses an emotion engine to analyze the user's emotional state. This analysis uses machine learning algorithms to output emotion labels such as "reassured" or "anxious." This identifies the user's current emotional state and is used to make future suggestions.

[0359] Step 3:

[0360] The server generates individual user profiles based on the user's basic information and emotional state. This process utilizes the emotional labels obtained in the previous step and the user's input preferences, resulting in a customized user profile.

[0361] Step 4:

[0362] The server retrieves property information from an external database and filters the relevant data. This filtering uses the generated user profile as input. Highly reliable property information is selected, and a list of properties best suited to the user's preferences and preferences is output.

[0363] Step 5:

[0364] The server prioritizes the filtered property list to avoid errors and outputs it to the terminal. This prepares the terminal for user display.

[0365] Step 6:

[0366] The terminal displays the received property list to the user. The UI conveys information to the user using emotionally resonant color schemes and layouts. User reactions are observed, and the interface is dynamically adjusted as needed. Property details are presented in an easy-to-read and well-organized format for comfortable viewing.

[0367] Step 7:

[0368] Users can indicate their intention to schedule a viewing or apply for a proposed property. The terminal processes this input and automatically proceeds with the process. The output generated at this stage is a reservation confirmation or application completion notice.

[0369] (Application Example 2)

[0370] 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."

[0371] In recent years, there has been a growing demand for electronic payment systems that alleviate user anxiety and dissatisfaction, providing a more comfortable and secure user experience. However, conventional systems often fail to adequately optimize the user experience because they are not designed with user emotions in mind.

[0372] 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.

[0373] In this invention, the server includes means for generating a user profile using information collected from the user, means for collecting information from external property information sources, evaluating the reliability of the information and filtering it, and means for comparing the user profile with the filtered information and selecting items that match the user's conditions. This enables a comfortable digital purchasing experience that is sensitive to the user's emotions by acquiring user emotional data and optimizing the payment process based on that data.

[0374] A "user profile" is a collection of digital data that reflects the characteristics and preferences of a user, based on information collected from that user.

[0375] A "property information source" refers to a resource or database used to collect information from external sources, providing reliable property data.

[0376] "Emotional data" refers to information that indicates a user's current emotions, obtained through facial recognition and voice tone analysis.

[0377] An "interface" refers to the display screen or operating method that allows a system and a user to interact directly, and its role is to provide information to the user in an easy-to-understand manner.

[0378] An "application process" is a formal procedure that a user performs for items or services they have expressed interest in, and it is a process that can be automated.

[0379] The system for implementing this invention aims to provide a sense of security by optimizing the user's electronic payment experience in accordance with their emotions. This system is realized by coordinating a user terminal, a server, and an emotion analysis engine.

[0380] Users access online shopping platforms through devices such as smartphones. During this process, the device uses its camera and microphone to collect emotional data, such as the user's facial expressions and voice tone. This collected data is then transmitted to a server in the cloud.

[0381] The server uses machine learning-based software (e.g., machine learning API, emotion recognition API) for facial recognition and voice tone analysis. It analyzes the user's emotional state and generates a profile to optimize the interface during the payment process. This profile aims to reduce user anxiety and provide a sense of security, and is reflected in the user interface.

[0382] For example, if a user is about to purchase a new electronic device, the server detects from emotional data that the user is feeling anxious about the unfamiliar, expensive product. The system then displays messages to alleviate that anxiety and simplifies the payment process, thereby encouraging the user to make a smooth purchase.

[0383] As an example of a prompt message for a generating AI model, you can specify the content the system should generate by saying, "Please display a message that alleviates anxiety so that the user can complete their online purchase with peace of mind."

[0384] In this way, the system customizes the electronic payment experience based on the user's emotions, providing comfort and reliability.

[0385] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0386] Step 1:

[0387] The device collects the user's facial expressions and voice. Specifically, it uses the smartphone's camera and microphone to record the user's facial expressions and voice tone in real time. This input data is then prepared to be sent to an emotion analysis engine.

[0388] Step 2:

[0389] The server receives facial expression and voice tone data sent from the terminal. Next, it uses an emotion recognition API to analyze the user's emotional state from this data. The analysis results output data indicating an emotional state, such as "relaxed," "stressed," or "anxious."

[0390] Step 3:

[0391] The server updates the user profile using the sentiment analysis results. The user profile includes not only the user's preferences and behavioral history, but also their current emotional state. This profile is then used to output data for appropriate interface adjustments for the user.

[0392] Step 4:

[0393] The server generates an optimal interface based on the user profile and current purchase history. For example, if the profile contains data indicating anxiety, the interface will be adjusted to be simple and reassuring. This output is sent to and displayed on the terminal.

[0394] Step 5:

[0395] The terminal displays an optimized view for the user based on interface adjustment information received from the server. This creates an environment where users can proceed with the payment process with peace of mind. As an example prompt, it generates and displays the message "Please display a message to support the user so that they can complete the purchase with peace of mind."

[0396] In this way, the entire system works together to provide a digital payment experience that is sensitive to the user's emotions.

[0397] 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.

[0398] 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.

[0399] 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.

[0400] [Third Embodiment]

[0401] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0402] 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.

[0403] 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).

[0404] 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.

[0405] 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.

[0406] 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).

[0407] 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.

[0408] 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.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] 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".

[0413] This invention is a system that supports the efficient search and application process for real estate properties, and is realized through the mutual cooperation of users, terminals, and servers. Specific embodiments of this system will be described below.

[0414] The terminal first receives input from the user and collects basic information and desired property conditions. For example, age, occupation, family structure, whether or not they have pets, desired rent range, type of floor plan, and workplace. The collected information is then transmitted to the server via the terminal.

[0415] The server generates a user profile based on the received user information. This profile is stored as the base data for property suggestions tailored to the user's preferences and conditions. The server also collects the latest property information from external real estate information sources and related databases, evaluates the reliability of this information, and filters it. Filtering includes checking the accuracy and reliability of the property information.

[0416] The server then matches the filtered property information with the user profile. This selects and prioritizes properties that match the user's desired criteria. As a result, a property list based on specific criteria is generated and sent to the terminal.

[0417] The terminal displays a list of properties received from the server to the user and provides an interface for viewing the details of each property and comparing multiple properties. Based on the information presented, the user can select properties that interest them.

[0418] When a user requests to view a specific property, the device sends that information to the server. The server contacts the real estate agent and automatically schedules the viewing. If the user wishes to purchase the property, the server automatically fills out the necessary online forms and prepares all required documents.

[0419] As a concrete example, consider a user searching for a property with the following conditions: "a 2LDK apartment in the city center that allows pets, with a maximum rent of 100,000 yen." The terminal receives these conditions and transmits the information to the server, which generates a list of properties that match those conditions. A prioritized list is presented to the user, allowing them to compare properties they like and carefully select based on the detailed information. The server then handles the necessary reservations and document preparation, allowing the process to proceed quickly.

[0420] By implementing the present invention in this way, users can efficiently search for real estate properties and complete contract procedures. Furthermore, this system helps to eliminate false information and reduce processing time, enabling decision-making based on highly reliable information.

[0421] The following describes the processing flow.

[0422] Step 1:

[0423] The terminal presents the user with an initial information input form. The user enters their name, age, occupation, family structure, and desired property conditions (e.g., floor plan, rent, location). After completion, the terminal sends this information to the server.

[0424] Step 2:

[0425] The server generates a user profile based on the received user information. This profile is stored in the database as a dataset that reflects the user's desired conditions and preferences.

[0426] Step 3:

[0427] The server automatically collects property information from external real estate information sources. The collected information includes the property's location, floor plan, rent, amenities, and year of construction.

[0428] Step 4:

[0429] The server analyzes the collected property information and performs reliability checks. It filters out unreliable or potentially false information and organizes the selected information to be provided to users.

[0430] Step 5:

[0431] The server compares the filtered property information with the user profile and selects properties that match the user's criteria. The selected property list is then generated with a priority order.

[0432] Step 6:

[0433] The terminal displays a list of properties received from the server to the user. The list contains detailed information about the properties, which the user can view and compare. The user can also select properties that interest them.

[0434] Step 7:

[0435] When a user expresses interest in a particular property, they send a request for a viewing appointment to the server via their device. The server then contacts the real estate agent and automatically sets up a viewing appointment according to the user's request.

[0436] Step 8:

[0437] If a user wishes to contract or apply for a property, the server automatically fills in the necessary online application form and makes it available for download. The user can then review this information on their device and proceed with the process.

[0438] (Example 1)

[0439] 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."

[0440] Searching for and contracting for real estate properties requires dealing with a vast amount of information, its reliability, and the rapid selection of properties that meet the user's criteria. However, current systems have challenges in terms of efficiency in information gathering and filtering, as well as automating contract procedures. In particular, it takes a long time for users to find properties that meet their desired conditions, and there is a high risk of human error during the process.

[0441] 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.

[0442] In this invention, the server includes means for generating individual user profiles using attribute information collected from users, means for collecting real estate data from external information sources, evaluating the accuracy of the data and selecting it, and means for matching the user profile with the selected real estate data and selecting properties that match the user's conditions. As a result, users can quickly and accurately find properties that match their desired conditions and proceed with the contract procedures efficiently.

[0443] A "user" is an individual or legal entity that uses the system's functions to search for real estate properties and complete contract procedures.

[0444] "Attribute information" refers to data that indicates individual conditions and preferences of a user, such as age, occupation, family structure, whether or not they have pets, desired rent range, type of floor plan, and workplace.

[0445] A "user profile" is a dataset generated based on a user's attribute information, reflecting their preferences and circumstances.

[0446] "Information sources" refer to external data sources that supply real estate property information, such as real estate databases, real estate companies, and related businesses.

[0447] "Real estate data" refers to detailed information about a property, such as its location, price, whether pets are allowed, floor plan, and year of construction.

[0448] "Evaluating and selecting for accuracy" means verifying the reliability and accuracy of collected real estate data, and extracting only truly useful information.

[0449] "Matching" refers to the process of comparing the user profile and real estate data to identify properties that match the user's preferences.

[0450] "Visualization means" refers to an interface that displays selected property information to users, allowing them to check details and compare properties.

[0451] "Automating the application process" refers to the process of automatically creating digital documents and filling out forms necessary to efficiently proceed with the contract procedures for the property selected by the user.

[0452] This invention is a system that supports the efficient search and contract procedures for real estate properties, and provides specific functions through the mutual cooperation of a server, terminal, and user. A specific example of this system is shown below.

[0453] The terminal accepts attribute information from the user. This input includes conditions such as age, occupation, family structure, whether or not they have pets, desired rent range, floor plan type, and workplace. This information is then compiled and sent to the server. The terminal is typically a digital device such as a smartphone or computer.

[0454] The server generates individual user profiles based on information received from the terminal. These profiles reflect the user's preferences and are stored in a database. Subsequently, the server retrieves the latest real estate data from external information sources via APIs, evaluates the accuracy of that data, and selects the necessary information. This process utilizes machine learning algorithms and generative AI models to improve the accuracy of data evaluation and selection.

[0455] The server matches the generated user profile with the filtered real estate data to identify properties that match the user's desired criteria. The selected properties are then sent to the user's device, allowing them to view and compare property details on their own device. The interface is designed with ease of use in mind, ensuring users can easily access the information they need.

[0456] For example, if a user is searching for a property with the conditions "a 2LDK apartment in the city center that allows pets, with a maximum rent of 100,000 yen," the terminal inputs this information and sends it to the server. The server generates a list of properties that match the conditions and sends it to the terminal, helping the user compare and select properties. After that, the server automates procedures such as reservations and document preparation, allowing the user to proceed with the contract quickly.

[0457] An example of a prompt message is, "I'm looking for a 2LDK apartment that allows pets. My rent is limited to 100,000 yen, and I prefer an apartment in the city center." The user's preferences can be expressed in this format. Based on this prompt, the system will perform a suitable property search.

[0458] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0459] Step 1:

[0460] The terminal accepts attribute information from the user as input. Specifically, it prompts the user to input information such as age, occupation, family structure, whether they have pets, desired rent range, floor plan, and workplace via the interface. The terminal organizes this information and converts it into a format that the server can process. As output, it generates this organized dataset.

[0461] Step 2:

[0462] The server receives a dataset sent from the terminal as input and generates a user profile based on that information. This profile generation process includes classifying attribute information and storing it in a database format. Using a generative AI model, it estimates the user's wishes and preferences and outputs profile data that takes these into account.

[0463] Step 3:

[0464] The server collects real estate data from external information sources. At this stage, the latest property information is obtained in real time via an API and stored as input on the server. The data is checked for accuracy and consistency, and filtering is performed to retain only reliable information. As output, evaluated real estate data is obtained.

[0465] Step 4:

[0466] The server matches the generated user profile with filtered real estate data as input. This process utilizes database search functionality to select properties that match the user's criteria. The generation AI model leverages historical data and the preferences of similar users to prioritize listing recommended properties. The output is a list of properties that meet the criteria.

[0467] Step 5:

[0468] The server sends a list of properties that meet the specified criteria to the terminal. The terminal receives this list as input and displays it visualized on the user's screen. The user can then view the details of the presented properties and utilize comparison functions. The output provides an interface that the user can use.

[0469] Step 6:

[0470] When a user expresses interest in a particular property, that information is sent to the server via their device. Based on this input, the server automatically contacts the real estate agent and sets up a viewing appointment. The system notifies the user of the appointment date, time, and confirmation details. Finally, the user receives confirmation of the viewing appointment.

[0471] Step 7:

[0472] When a user wishes to contract for a property, the terminal transmits this intention to the server. The server generates the necessary digital forms for the application process and automates the process to enable the most efficient online contract procedure. It prepares all necessary documents and provides the user with a means of digital signature. As output, the process for completing the contract is provided in a simplified format.

[0473] (Application Example 1)

[0474] 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."

[0475] There is a problem with searching for and reserving products in physical stores, which is cumbersome and time-consuming. As a result, consumers face the challenge of not being able to efficiently select and purchase products. In addition, because inventory information is not updated in real time, consumers sometimes find that the product they want is not available when they visit a physical store.

[0476] 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.

[0477] In this invention, the server includes means for generating a user profile using information collected from the user; means for collecting product information from an external source of product information, evaluating the reliability of the product information, and filtering it; means for comparing the user profile with the filtered product information and selecting products that match the user's criteria; means for presenting the selected product information to the user and providing an interface that allows for detailed comparison; means for automating the reservation process based on the user's reservation intention; and means for updating inventory information in real time. This enables consumers to efficiently find products that meet their criteria and to quickly complete reservation and purchase procedures.

[0478] A "user profile" is a collection of personal data generated based on attribute information and preferences collected from users.

[0479] "Product information source" refers to an external database or web service that provides information about products.

[0480] "Filtering" is the process of selecting only the necessary information from collected data based on its reliability and relevance.

[0481] An "interface" is a system function that provides a means for users to visually confirm and manipulate information.

[0482] "Automated reservation procedures" refers to a system where a program automatically performs the necessary actions for making a reservation based on the user's preferences.

[0483] "Real-time updates" refer to the process of instantly reflecting the latest information in the system.

[0484] To implement this invention, a system is needed to match user needs with product information. The server uses information provided by the user's smartphone to generate a user profile. The user profile includes the user's interests and purchase history and is used for product recommendations.

[0485] The server also filters product information obtained from external sources. In this process, the server evaluates the product information based on reliability and relevance, selecting products that meet the user's criteria. The selected products are presented to the user along with real-time updated inventory information.

[0486] Users can view product information and make reservations through a smartphone interface. Reservations are automated, with the system performing all necessary actions. This process utilizes a React Native frontend and Node.js and MongoDB backend, enabling real-time information processing.

[0487] For example, if a user enters a prompt such as, "I'm looking for branded sneakers under 10,000 yen. Please recommend some products," the server can instantly find products that match the criteria and present them in the app. By coordinating with the device and efficiently delivering the latest product information to the user, the consumer experience can be improved.

[0488] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0489] Step 1:

[0490] The device receives information about the user's preferences as input. Specifically, it obtains desired conditions such as product category, price range, and brand. This input data is entered on the user's smartphone and used to update the user profile. The entered information is then sent from the device to the server.

[0491] Step 2:

[0492] The server generates or updates user profiles based on the user's requested information. These user profiles record user trends, including past preference and purchase history. This data is stored in MongoDB and used later for product selection.

[0493] Step 3:

[0494] The server collects and filters product information from external sources. During this process, the server evaluates the reliability of the products and selects information based on evaluation criteria. The filtered product information is then used to match user criteria. Node.js is used for information collection and processing.

[0495] Step 4:

[0496] The server matches user profiles with filtered product information to select products that meet the criteria. The matching process uses a generative AI model to suggest products based on prompt messages. The selected products are then listed with priority.

[0497] Step 5:

[0498] The server transmits the selected product information, along with real-time inventory status, to the terminal. The real-time update function allows the user to see the latest information obtained from the inventory database. Users can view and compare product lists on their smartphones.

[0499] Step 6:

[0500] When a user selects the product they wish to reserve, the device sends that information back to the server. The server automates the reservation process and, based on the necessary information, places a reservation request with partner stores. Once the reservation process is complete, confirmation information is sent to the user's smartphone.

[0501] 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.

[0502] The present invention is a system that takes user emotions into consideration when searching for and applying for real estate properties, and realizes its functionality through the cooperation of the user, terminal, server, and emotion engine. Specific embodiments of the present invention will be described below.

[0503] The device collects initial user information and obtains emotional data through the user's face and voice. This emotional data is sent to an emotion engine to analyze the user's current emotional state using a complex algorithm. For example, it analyzes the user's facial expressions and voice tone while they are browsing properties.

[0504] The server generates a user profile based on received user information and emotional data, and then provides property recommendations accordingly. These recommendations are optimized not only based on the user's desired conditions but also on their emotional state. For example, if a user is feeling stressed, the server will focus on presenting properties with relaxing environments and provide a user-friendly interface with clearly organized property photos and information.

[0505] The server also filters and verifies the reliability of property information collected from external real estate sources. At this stage, the emotion engine's output influences the property selection algorithm, generating a list of properties that are more appealing to users. This list is then prioritized based on emotion and property selection, and sent to the terminal.

[0506] The device provides the user with a list of properties received from the server and presents detailed information in a way that matches the user's emotional state. The emotional API evaluates the user's reaction to the information and dynamically adjusts the interface to continuously enhance the user experience. It also automates the process of scheduling viewings and submitting applications for properties the user has shown interest in, and the response is flexibly optimized based on emotional data.

[0507] As a concrete example, consider a user searching for a pet-friendly apartment located in a lush natural environment, with a budget of 120,000 yen or less. In this case, the emotional engine senses that the user is feeling a little anxious while searching for a property and prioritizes suggesting properties surrounded by nature that can provide relaxation. Furthermore, the UI is adjusted to soft colors and layouts that match that mood, and care is taken to avoid overwhelming the user with information.

[0508] As described above, this system, which incorporates an emotion engine, allows users to receive customized property suggestions that take their emotions into consideration, resulting in a comfortable and stress-free real estate transaction.

[0509] The following describes the processing flow.

[0510] Step 1:

[0511] The device activates an initial information input form and a camera and microphone for emotion detection for the user. The user enters the necessary information into the form (e.g., desired property conditions, budget, etc.) and provides emotion data through their face and voice. The emotion data is sent to the emotion engine in real time.

[0512] Step 2:

[0513] The emotion engine analyzes the user's facial expressions and tone of voice to identify their current emotional state. For example, it can determine whether the user is relaxed or stressed. This emotional information is sent to the server and reflected in the user profile.

[0514] Step 3:

[0515] The server generates a user profile based on the received sentiment data and initial user information. This profile includes the user's criteria and sentiment information, and is stored in the database as foundational data for property recommendations.

[0516] Step 4:

[0517] The server collects property information from external real estate sources and evaluates the reliability of the collected information based on its own algorithm. Filtered properties are prioritized considering sentiment data, and a list is created that matches the user's sentiment.

[0518] Step 5:

[0519] The server uses the output of the emotion engine to build an interface that optimizes how property information is presented. This interface is adjusted in terms of color and layout according to the user's emotions and is then sent to the terminal.

[0520] Step 6:

[0521] The terminal provides the user with a list of properties received from the server and an optimized interface. Through the interface, users can browse properties and compare details to make efficient selections.

[0522] Step 7:

[0523] When a user expresses interest in a particular property, they send a request for a viewing from their device to the server. The server automatically contacts the real estate agent and schedules a viewing appointment.

[0524] Step 8:

[0525] When a user wishes to proceed with the property contract process, the server automatically fills in the necessary online application forms based on information obtained from the emotion engine and provides them in a downloadable format. Users can then review the documents via their device and complete the process quickly.

[0526] (Example 2)

[0527] 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."

[0528] Traditional real estate systems have suffered from a lack of consideration for users' emotional states and insufficient optimization of the user experience, resulting in a stressful and personalized property selection process. Furthermore, limited methods for streamlining procedures such as applications and viewings have reduced user convenience.

[0529] 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.

[0530] In this invention, the server includes a mechanism for generating individual profiles based on information obtained from the user, a mechanism for taking in property information obtained from an external database, analyzing its reliability, and narrowing down the options, a mechanism for comparing the generated profiles with the narrowed-down property information and selecting properties that meet the user's desired conditions, and a mechanism for measuring and analyzing the user's emotional data and reflecting it in the property suggestions and display content. This makes it possible to suggest properties that take the user's emotions into consideration, providing a more comfortable and personalized user experience.

[0531] A "user" refers to an individual or group that uses the system to search for properties and receive suggestions.

[0532] A "profile" refers to an individual dataset that encompasses user information, preferences, and analyzed emotional states.

[0533] "External databases" refer to external sources or platforms that provide real estate information.

[0534] "Property information" refers to data related to real estate properties, such as location, price, and characteristics.

[0535] "Reliability analysis" refers to the process of evaluating the accuracy and reliability of collected property information and retaining only reliable information.

[0536] The "selection mechanism" refers to an algorithm that identifies and selects the most suitable property based on the user profile.

[0537] "Emotional data" refers to information obtained and analyzed from a user's emotional state, such as facial expressions and voice.

[0538] The "reflection mechanism" refers to the process of ensuring that the analyzed sentiment data influences property recommendations and the user interface.

[0539] This invention is a system that enables suggestions that take user emotions into consideration during real estate searches, and its functionality is achieved through the integrated operation of a terminal, server, and emotion engine.

[0540] The device provides an interface for obtaining user input and uses a camera and microphone to collect emotional data from the user's facial expressions and voice. This utilizes facial recognition technology and voice analysis software. The information and emotional data collected based on user input are transmitted to the server in real time.

[0541] The server uses a generative AI model to process the received data. Specifically, it generates a user profile based on emotional data analyzed by the emotion engine, and then filters property information obtained from an external database based on this profile. This selects the most suitable property that reflects the user's desired conditions and emotions. The selected property information is then reflected on the display platform and provided to the user.

[0542] For example, if a user enters the conditions "I'm looking for an apartment in a nature-rich environment where I can live with my pet, and my budget is under 100,000 yen," the emotion engine will determine that the user is in the mood to relax. The server then prioritizes listing properties that are environmentally friendly, based on these conditions and emotions. The UI will also be adapted to this emotion, decorated with colors that evoke nature.

[0543] An example of a prompt message would be, "Suggest a pet-friendly apartment surrounded by nature, given the user's desire for a relaxed environment." This system can be implemented by inputting such a message. This system improves the user experience and enables less stressful real estate transactions.

[0544] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0545] Step 1:

[0546] The terminal collects input information from the user. It provides an interface for the user to input their desired property conditions (e.g., budget, location, pet-friendly, etc.). Furthermore, the terminal's camera and microphone are used to capture the user's facial expressions and voice tone in real time. This collected data is used as input and sent to the server for analysis of the user's emotional state.

[0547] Step 2:

[0548] The server takes received facial expression and voice data as input and uses an emotion engine to analyze the user's emotional state. This analysis uses machine learning algorithms to output emotion labels such as "reassured" or "anxious." This identifies the user's current emotional state and is used to make future suggestions.

[0549] Step 3:

[0550] The server generates individual user profiles based on the user's basic information and emotional state. This process utilizes the emotional labels obtained in the previous step and the user's input preferences, resulting in a customized user profile.

[0551] Step 4:

[0552] The server retrieves property information from an external database and filters the relevant data. This filtering uses the generated user profile as input. Highly reliable property information is selected, and a list of properties best suited to the user's preferences and preferences is output.

[0553] Step 5:

[0554] The server prioritizes the filtered property list to avoid errors and outputs it to the terminal. This prepares the terminal for user display.

[0555] Step 6:

[0556] The terminal displays the received property list to the user. The UI conveys information to the user using emotionally resonant color schemes and layouts. User reactions are observed, and the interface is dynamically adjusted as needed. Property details are presented in an easy-to-read and well-organized format for comfortable viewing.

[0557] Step 7:

[0558] Users can indicate their intention to schedule a viewing or apply for a proposed property. The terminal processes this input and automatically proceeds with the process. The output generated at this stage is a reservation confirmation or application completion notice.

[0559] (Application Example 2)

[0560] 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."

[0561] In recent years, there has been a growing demand for electronic payment systems that alleviate user anxiety and dissatisfaction, providing a more comfortable and secure user experience. However, conventional systems often fail to adequately optimize the user experience because they are not designed with user emotions in mind.

[0562] 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.

[0563] In this invention, the server includes means for generating a user profile using information collected from the user, means for collecting information from external property information sources, evaluating the reliability of the information and filtering it, and means for comparing the user profile with the filtered information and selecting items that match the user's conditions. This enables a comfortable digital purchasing experience that is sensitive to the user's emotions by acquiring user emotional data and optimizing the payment process based on that data.

[0564] A "user profile" is a collection of digital data that reflects the characteristics and preferences of a user, based on information collected from that user.

[0565] A "property information source" refers to a resource or database used to collect information from external sources, providing reliable property data.

[0566] "Emotional data" refers to information that indicates a user's current emotions, obtained through facial recognition and voice tone analysis.

[0567] An "interface" refers to the display screen or operating method that allows a system and a user to interact directly, and its role is to provide information to the user in an easy-to-understand manner.

[0568] An "application process" is a formal procedure that a user performs for items or services they have expressed interest in, and it is a process that can be automated.

[0569] The system for implementing this invention aims to provide a sense of security by optimizing the user's electronic payment experience in accordance with their emotions. This system is realized by coordinating a user terminal, a server, and an emotion analysis engine.

[0570] Users access online shopping platforms through devices such as smartphones. During this process, the device uses its camera and microphone to collect emotional data, such as the user's facial expressions and voice tone. This collected data is then transmitted to a server in the cloud.

[0571] The server uses machine learning-based software (e.g., machine learning API, emotion recognition API) for facial recognition and voice tone analysis. It analyzes the user's emotional state and generates a profile to optimize the interface during the payment process. This profile aims to reduce user anxiety and provide a sense of security, and is reflected in the user interface.

[0572] For example, if a user is about to purchase a new electronic device, the server detects from emotional data that the user is feeling anxious about the unfamiliar, expensive product. The system then displays messages to alleviate that anxiety and simplifies the payment process, thereby encouraging the user to make a smooth purchase.

[0573] As an example of a prompt message for a generating AI model, you can specify the content the system should generate by saying, "Please display a message that alleviates anxiety so that the user can complete their online purchase with peace of mind."

[0574] In this way, the system customizes the electronic payment experience based on the user's emotions, providing comfort and reliability.

[0575] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0576] Step 1:

[0577] The device collects the user's facial expressions and voice. Specifically, it uses the smartphone's camera and microphone to record the user's facial expressions and voice tone in real time. This input data is then prepared to be sent to an emotion analysis engine.

[0578] Step 2:

[0579] The server receives facial expression and voice tone data sent from the terminal. Next, it uses an emotion recognition API to analyze the user's emotional state from this data. The analysis results output data indicating an emotional state, such as "relaxed," "stressed," or "anxious."

[0580] Step 3:

[0581] The server updates the user profile using the sentiment analysis results. The user profile includes not only the user's preferences and behavioral history, but also their current emotional state. This profile is then used to output data for appropriate interface adjustments for the user.

[0582] Step 4:

[0583] The server generates an optimal interface based on the user profile and current purchase history. For example, if the profile contains data indicating anxiety, the interface will be adjusted to be simple and reassuring. This output is sent to and displayed on the terminal.

[0584] Step 5:

[0585] The terminal displays an optimized view for the user based on interface adjustment information received from the server. This creates an environment where users can proceed with the payment process with peace of mind. As an example prompt, it generates and displays the message "Please display a message to support the user so that they can complete the purchase with peace of mind."

[0586] In this way, the entire system works together to provide a digital payment experience that is sensitive to the user's emotions.

[0587] 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.

[0588] 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.

[0589] 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.

[0590] [Fourth Embodiment]

[0591] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0592] 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.

[0593] 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).

[0594] 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.

[0595] 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.

[0596] 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).

[0597] 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.

[0598] 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.

[0599] 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.

[0600] 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.

[0601] 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.

[0602] 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.

[0603] 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".

[0604] This invention is a system that supports the efficient search and application process for real estate properties, and is realized through the mutual cooperation of users, terminals, and servers. Specific embodiments of this system will be described below.

[0605] The terminal first receives input from the user and collects basic information and desired property conditions. For example, age, occupation, family structure, whether or not they have pets, desired rent range, type of floor plan, and workplace. The collected information is then transmitted to the server via the terminal.

[0606] The server generates a user profile based on the received user information. This profile is stored as the base data for property suggestions tailored to the user's preferences and conditions. The server also collects the latest property information from external real estate information sources and related databases, evaluates the reliability of this information, and filters it. Filtering includes checking the accuracy and reliability of the property information.

[0607] The server then matches the filtered property information with the user profile. This selects and prioritizes properties that match the user's desired criteria. As a result, a property list based on specific criteria is generated and sent to the terminal.

[0608] The terminal displays a list of properties received from the server to the user and provides an interface for viewing the details of each property and comparing multiple properties. Based on the information presented, the user can select properties that interest them.

[0609] When a user requests to view a specific property, the device sends that information to the server. The server contacts the real estate agent and automatically schedules the viewing. If the user wishes to purchase the property, the server automatically fills out the necessary online forms and prepares all required documents.

[0610] As a concrete example, consider a user searching for a property with the following conditions: "a 2LDK apartment in the city center that allows pets, with a maximum rent of 100,000 yen." The terminal receives these conditions and transmits the information to the server, which generates a list of properties that match those conditions. A prioritized list is presented to the user, allowing them to compare properties they like and carefully select based on the detailed information. The server then handles the necessary reservations and document preparation, allowing the process to proceed quickly.

[0611] By implementing the present invention in this way, users can efficiently search for real estate properties and complete contract procedures. Furthermore, this system helps to eliminate false information and reduce processing time, enabling decision-making based on highly reliable information.

[0612] The following describes the processing flow.

[0613] Step 1:

[0614] The terminal presents the user with an initial information input form. The user enters their name, age, occupation, family structure, and desired property conditions (e.g., floor plan, rent, location). After completion, the terminal sends this information to the server.

[0615] Step 2:

[0616] The server generates a user profile based on the received user information. This profile is stored in the database as a dataset that reflects the user's desired conditions and preferences.

[0617] Step 3:

[0618] The server automatically collects property information from external real estate information sources. The collected information includes the property's location, floor plan, rent, amenities, and year of construction.

[0619] Step 4:

[0620] The server analyzes the collected property information and performs reliability checks. It filters out unreliable or potentially false information and organizes the selected information to be provided to users.

[0621] Step 5:

[0622] The server compares the filtered property information with the user profile and selects properties that match the user's criteria. The selected property list is then generated with a priority order.

[0623] Step 6:

[0624] The terminal displays a list of properties received from the server to the user. The list contains detailed information about the properties, which the user can view and compare. The user can also select properties that interest them.

[0625] Step 7:

[0626] When a user expresses interest in a particular property, they send a request for a viewing appointment to the server via their device. The server then contacts the real estate agent and automatically sets up a viewing appointment according to the user's request.

[0627] Step 8:

[0628] If a user wishes to contract or apply for a property, the server automatically fills in the necessary online application form and makes it available for download. The user can then review this information on their device and proceed with the process.

[0629] (Example 1)

[0630] 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".

[0631] Searching for and contracting for real estate properties requires dealing with a vast amount of information, its reliability, and the rapid selection of properties that meet the user's criteria. However, current systems have challenges in terms of efficiency in information gathering and filtering, as well as automating contract procedures. In particular, it takes a long time for users to find properties that meet their desired conditions, and there is a high risk of human error during the process.

[0632] 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.

[0633] In this invention, the server includes means for generating individual user profiles using attribute information collected from users, means for collecting real estate data from external information sources, evaluating the accuracy of the data and selecting it, and means for matching the user profile with the selected real estate data and selecting properties that match the user's conditions. As a result, users can quickly and accurately find properties that match their desired conditions and proceed with the contract procedures efficiently.

[0634] A "user" is an individual or legal entity that uses the system's functions to search for real estate properties and complete contract procedures.

[0635] "Attribute information" refers to data that indicates individual conditions and preferences of a user, such as age, occupation, family structure, whether or not they have pets, desired rent range, type of floor plan, and workplace.

[0636] A "user profile" is a dataset generated based on a user's attribute information, reflecting their preferences and circumstances.

[0637] "Information sources" refer to external data sources that supply real estate property information, such as real estate databases, real estate companies, and related businesses.

[0638] "Real estate data" refers to detailed information about a property, such as its location, price, whether pets are allowed, floor plan, and year of construction.

[0639] "Evaluating and selecting for accuracy" means verifying the reliability and accuracy of collected real estate data, and extracting only truly useful information.

[0640] "Matching" refers to the process of comparing the user profile and real estate data to identify properties that match the user's preferences.

[0641] "Visualization means" refers to an interface that displays selected property information to users, allowing them to check details and compare properties.

[0642] "Automating the application process" refers to the process of automatically creating digital documents and filling out forms necessary to efficiently proceed with the contract procedures for the property selected by the user.

[0643] This invention is a system that supports the efficient search and contract procedures for real estate properties, and provides specific functions through the mutual cooperation of a server, terminal, and user. A specific example of this system is shown below.

[0644] The terminal accepts attribute information from the user. This input includes conditions such as age, occupation, family structure, whether or not they have pets, desired rent range, floor plan type, and workplace. This information is then compiled and sent to the server. The terminal is typically a digital device such as a smartphone or computer.

[0645] The server generates individual user profiles based on information received from the terminal. These profiles reflect the user's preferences and are stored in a database. Subsequently, the server retrieves the latest real estate data from external information sources via APIs, evaluates the accuracy of that data, and selects the necessary information. This process utilizes machine learning algorithms and generative AI models to improve the accuracy of data evaluation and selection.

[0646] The server matches the generated user profile with the filtered real estate data to identify properties that match the user's desired criteria. The selected properties are then sent to the user's device, allowing them to view and compare property details on their own device. The interface is designed with ease of use in mind, ensuring users can easily access the information they need.

[0647] For example, if a user is searching for a property with the conditions "a 2LDK apartment in the city center that allows pets, with a maximum rent of 100,000 yen," the terminal inputs this information and sends it to the server. The server generates a list of properties that match the conditions and sends it to the terminal, helping the user compare and select properties. After that, the server automates procedures such as reservations and document preparation, allowing the user to proceed with the contract quickly.

[0648] An example of a prompt message is, "I'm looking for a 2LDK apartment that allows pets. My rent is limited to 100,000 yen, and I prefer an apartment in the city center." The user's preferences can be expressed in this format. Based on this prompt, the system will perform a suitable property search.

[0649] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0650] Step 1:

[0651] The terminal accepts attribute information from the user as input. Specifically, it prompts the user to input information such as age, occupation, family structure, whether they have pets, desired rent range, floor plan, and workplace via the interface. The terminal organizes this information and converts it into a format that the server can process. As output, it generates this organized dataset.

[0652] Step 2:

[0653] The server receives a dataset sent from the terminal as input and generates a user profile based on that information. This profile generation process includes classifying attribute information and storing it in a database format. Using a generative AI model, it estimates the user's wishes and preferences and outputs profile data that takes these into account.

[0654] Step 3:

[0655] The server collects real estate data from external information sources. At this stage, the latest property information is obtained in real time via an API and stored as input on the server. The data is checked for accuracy and consistency, and filtering is performed to retain only reliable information. As output, evaluated real estate data is obtained.

[0656] Step 4:

[0657] The server matches the generated user profile with filtered real estate data as input. This process utilizes database search functionality to select properties that match the user's criteria. The generation AI model leverages historical data and the preferences of similar users to prioritize listing recommended properties. The output is a list of properties that meet the criteria.

[0658] Step 5:

[0659] The server sends a list of properties that meet the specified criteria to the terminal. The terminal receives this list as input and displays it visualized on the user's screen. The user can then view the details of the presented properties and utilize comparison functions. The output provides an interface that the user can use.

[0660] Step 6:

[0661] When a user expresses interest in a particular property, that information is sent to the server via their device. Based on this input, the server automatically contacts the real estate agent and sets up a viewing appointment. The system notifies the user of the appointment date, time, and confirmation details. Finally, the user receives confirmation of the viewing appointment.

[0662] Step 7:

[0663] When a user wishes to contract for a property, the terminal transmits this intention to the server. The server generates the necessary digital forms for the application process and automates the process to enable the most efficient online contract procedure. It prepares all necessary documents and provides the user with a means of digital signature. As output, the process for completing the contract is provided in a simplified format.

[0664] (Application Example 1)

[0665] 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".

[0666] There is a problem with searching for and reserving products in physical stores, which is cumbersome and time-consuming. As a result, consumers face the challenge of not being able to efficiently select and purchase products. In addition, because inventory information is not updated in real time, consumers sometimes find that the product they want is not available when they visit a physical store.

[0667] 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.

[0668] In this invention, the server includes means for generating a user profile using information collected from the user; means for collecting product information from an external source of product information, evaluating the reliability of the product information, and filtering it; means for comparing the user profile with the filtered product information and selecting products that match the user's criteria; means for presenting the selected product information to the user and providing an interface that allows for detailed comparison; means for automating the reservation process based on the user's reservation intention; and means for updating inventory information in real time. This enables consumers to efficiently find products that meet their criteria and to quickly complete reservation and purchase procedures.

[0669] A "user profile" is a collection of personal data generated based on attribute information and preferences collected from users.

[0670] "Product information source" refers to an external database or web service that provides information about products.

[0671] "Filtering" is the process of selecting only the necessary information from collected data based on its reliability and relevance.

[0672] An "interface" is a system function that provides a means for users to visually confirm and manipulate information.

[0673] "Automated reservation procedures" refers to a system where a program automatically performs the necessary actions for making a reservation based on the user's preferences.

[0674] "Real-time updates" refer to the process of instantly reflecting the latest information in the system.

[0675] To implement this invention, a system is needed to match user needs with product information. The server uses information provided by the user's smartphone to generate a user profile. The user profile includes the user's interests and purchase history and is used for product recommendations.

[0676] The server also filters product information obtained from external sources. In this process, the server evaluates the product information based on reliability and relevance, selecting products that meet the user's criteria. The selected products are presented to the user along with real-time updated inventory information.

[0677] Users can view product information and make reservations through a smartphone interface. Reservations are automated, with the system performing all necessary actions. This process utilizes a React Native frontend and Node.js and MongoDB backend, enabling real-time information processing.

[0678] For example, if a user enters a prompt such as, "I'm looking for branded sneakers under 10,000 yen. Please recommend some products," the server can instantly find products that match the criteria and present them in the app. By coordinating with the device and efficiently delivering the latest product information to the user, the consumer experience can be improved.

[0679] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0680] Step 1:

[0681] The device receives information about the user's preferences as input. Specifically, it obtains desired conditions such as product category, price range, and brand. This input data is entered on the user's smartphone and used to update the user profile. The entered information is then sent from the device to the server.

[0682] Step 2:

[0683] The server generates or updates user profiles based on the user's requested information. These user profiles record user trends, including past preference and purchase history. This data is stored in MongoDB and used later for product selection.

[0684] Step 3:

[0685] The server collects and filters product information from external sources. During this process, the server evaluates the reliability of the products and selects information based on evaluation criteria. The filtered product information is then used to match user criteria. Node.js is used for information collection and processing.

[0686] Step 4:

[0687] The server matches user profiles with filtered product information to select products that meet the criteria. The matching process uses a generative AI model to suggest products based on prompt messages. The selected products are then listed with priority.

[0688] Step 5:

[0689] The server transmits the selected product information, along with real-time inventory status, to the terminal. The real-time update function allows the user to see the latest information obtained from the inventory database. Users can view and compare product lists on their smartphones.

[0690] Step 6:

[0691] When a user selects the product they wish to reserve, the device sends that information back to the server. The server automates the reservation process and, based on the necessary information, places a reservation request with partner stores. Once the reservation process is complete, confirmation information is sent to the user's smartphone.

[0692] 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.

[0693] The present invention is a system that takes user emotions into consideration when searching for and applying for real estate properties, and realizes its functionality through the cooperation of the user, terminal, server, and emotion engine. Specific embodiments of the present invention will be described below.

[0694] The device collects initial user information and obtains emotional data through the user's face and voice. This emotional data is sent to an emotion engine to analyze the user's current emotional state using a complex algorithm. For example, it analyzes the user's facial expressions and voice tone while they are browsing properties.

[0695] The server generates a user profile based on received user information and emotional data, and then provides property recommendations accordingly. These recommendations are optimized not only based on the user's desired conditions but also on their emotional state. For example, if a user is feeling stressed, the server will focus on presenting properties with relaxing environments and provide a user-friendly interface with clearly organized property photos and information.

[0696] The server also filters and verifies the reliability of property information collected from external real estate sources. At this stage, the emotion engine's output influences the property selection algorithm, generating a list of properties that are more appealing to users. This list is then prioritized based on emotion and property selection, and sent to the terminal.

[0697] The device provides the user with a list of properties received from the server and presents detailed information in a way that matches the user's emotional state. The emotional API evaluates the user's reaction to the information and dynamically adjusts the interface to continuously enhance the user experience. It also automates the process of scheduling viewings and submitting applications for properties the user has shown interest in, and the response is flexibly optimized based on emotional data.

[0698] As a concrete example, consider a user searching for a pet-friendly apartment located in a lush natural environment, with a budget of 120,000 yen or less. In this case, the emotional engine senses that the user is feeling a little anxious while searching for a property and prioritizes suggesting properties surrounded by nature that can provide relaxation. Furthermore, the UI is adjusted to soft colors and layouts that match that mood, and care is taken to avoid overwhelming the user with information.

[0699] As described above, this system, which incorporates an emotion engine, allows users to receive customized property suggestions that take their emotions into consideration, resulting in a comfortable and stress-free real estate transaction.

[0700] The following describes the processing flow.

[0701] Step 1:

[0702] The device activates an initial information input form and a camera and microphone for emotion detection for the user. The user enters the necessary information into the form (e.g., desired property conditions, budget, etc.) and provides emotion data through their face and voice. The emotion data is sent to the emotion engine in real time.

[0703] Step 2:

[0704] The emotion engine analyzes the user's facial expressions and tone of voice to identify their current emotional state. For example, it can determine whether the user is relaxed or stressed. This emotional information is sent to the server and reflected in the user profile.

[0705] Step 3:

[0706] The server generates a user profile based on the received sentiment data and initial user information. This profile includes the user's criteria and sentiment information, and is stored in the database as foundational data for property recommendations.

[0707] Step 4:

[0708] The server collects property information from external real estate sources and evaluates the reliability of the collected information based on its own algorithm. Filtered properties are prioritized considering sentiment data, and a list is created that matches the user's sentiment.

[0709] Step 5:

[0710] The server uses the output of the emotion engine to build an interface that optimizes how property information is presented. This interface is adjusted in terms of color and layout according to the user's emotions and is then sent to the terminal.

[0711] Step 6:

[0712] The terminal provides the user with a list of properties received from the server and an optimized interface. Through the interface, users can browse properties and compare details to make efficient selections.

[0713] Step 7:

[0714] When a user expresses interest in a particular property, they send a request for a viewing from their device to the server. The server automatically contacts the real estate agent and schedules a viewing appointment.

[0715] Step 8:

[0716] When a user wishes to proceed with the property contract process, the server automatically fills in the necessary online application forms based on information obtained from the emotion engine and provides them in a downloadable format. Users can then review the documents via their device and complete the process quickly.

[0717] (Example 2)

[0718] 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".

[0719] Traditional real estate systems have suffered from a lack of consideration for users' emotional states and insufficient optimization of the user experience, resulting in a stressful and personalized property selection process. Furthermore, limited methods for streamlining procedures such as applications and viewings have reduced user convenience.

[0720] 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.

[0721] In this invention, the server includes a mechanism for generating individual profiles based on information obtained from the user, a mechanism for taking in property information obtained from an external database, analyzing its reliability, and narrowing down the options, a mechanism for comparing the generated profiles with the narrowed-down property information and selecting properties that meet the user's desired conditions, and a mechanism for measuring and analyzing the user's emotional data and reflecting it in the property suggestions and display content. This makes it possible to suggest properties that take the user's emotions into consideration, providing a more comfortable and personalized user experience.

[0722] A "user" refers to an individual or group that uses the system to search for properties and receive suggestions.

[0723] A "profile" refers to an individual dataset that encompasses user information, preferences, and analyzed emotional states.

[0724] "External databases" refer to external sources or platforms that provide real estate information.

[0725] "Property information" refers to data related to real estate properties, such as location, price, and characteristics.

[0726] "Reliability analysis" refers to the process of evaluating the accuracy and reliability of collected property information and retaining only reliable information.

[0727] The "selection mechanism" refers to an algorithm that identifies and selects the most suitable property based on the user profile.

[0728] "Emotional data" refers to information obtained and analyzed from a user's emotional state, such as facial expressions and voice.

[0729] The "reflection mechanism" refers to the process of ensuring that the analyzed sentiment data influences property recommendations and the user interface.

[0730] This invention is a system that enables suggestions that take user emotions into consideration during real estate searches, and its functionality is achieved through the integrated operation of a terminal, server, and emotion engine.

[0731] The device provides an interface for obtaining user input and uses a camera and microphone to collect emotional data from the user's facial expressions and voice. This utilizes facial recognition technology and voice analysis software. The information and emotional data collected based on user input are transmitted to the server in real time.

[0732] The server uses a generative AI model to process the received data. Specifically, it generates a user profile based on emotional data analyzed by the emotion engine, and then filters property information obtained from an external database based on this profile. This selects the most suitable property that reflects the user's desired conditions and emotions. The selected property information is then reflected on the display platform and provided to the user.

[0733] For example, if a user enters the conditions "I'm looking for an apartment in a nature-rich environment where I can live with my pet, and my budget is under 100,000 yen," the emotion engine will determine that the user is in the mood to relax. The server then prioritizes listing properties that are environmentally friendly, based on these conditions and emotions. The UI will also be adapted to this emotion, decorated with colors that evoke nature.

[0734] An example of a prompt message would be, "Suggest a pet-friendly apartment surrounded by nature, given the user's desire for a relaxed environment." This system can be implemented by inputting such a message. This system improves the user experience and enables less stressful real estate transactions.

[0735] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0736] Step 1:

[0737] The terminal collects input information from the user. It provides an interface for the user to input their desired property conditions (e.g., budget, location, pet-friendly, etc.). Furthermore, the terminal's camera and microphone are used to capture the user's facial expressions and voice tone in real time. This collected data is used as input and sent to the server for analysis of the user's emotional state.

[0738] Step 2:

[0739] The server takes received facial expression and voice data as input and uses an emotion engine to analyze the user's emotional state. This analysis uses machine learning algorithms to output emotion labels such as "reassured" or "anxious." This identifies the user's current emotional state and is used to make future suggestions.

[0740] Step 3:

[0741] The server generates individual user profiles based on the user's basic information and emotional state. This process utilizes the emotional labels obtained in the previous step and the user's input preferences, resulting in a customized user profile.

[0742] Step 4:

[0743] The server retrieves property information from an external database and filters the relevant data. This filtering uses the generated user profile as input. Highly reliable property information is selected, and a list of properties best suited to the user's preferences and preferences is output.

[0744] Step 5:

[0745] The server prioritizes the filtered property list to avoid errors and outputs it to the terminal. This prepares the terminal for user display.

[0746] Step 6:

[0747] The terminal displays the received property list to the user. The UI conveys information to the user using emotionally resonant color schemes and layouts. User reactions are observed, and the interface is dynamically adjusted as needed. Property details are presented in an easy-to-read and well-organized format for comfortable viewing.

[0748] Step 7:

[0749] Users can indicate their intention to schedule a viewing or apply for a proposed property. The terminal processes this input and automatically proceeds with the process. The output generated at this stage is a reservation confirmation or application completion notice.

[0750] (Application Example 2)

[0751] 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".

[0752] In recent years, there has been a growing demand for electronic payment systems that alleviate user anxiety and dissatisfaction, providing a more comfortable and secure user experience. However, conventional systems often fail to adequately optimize the user experience because they are not designed with user emotions in mind.

[0753] 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.

[0754] In this invention, the server includes means for generating a user profile using information collected from the user, means for collecting information from external property information sources, evaluating the reliability of the information and filtering it, and means for comparing the user profile with the filtered information and selecting items that match the user's conditions. This enables a comfortable digital purchasing experience that is sensitive to the user's emotions by acquiring user emotional data and optimizing the payment process based on that data.

[0755] A "user profile" is a collection of digital data that reflects the characteristics and preferences of a user, based on information collected from that user.

[0756] A "property information source" refers to a resource or database used to collect information from external sources, providing reliable property data.

[0757] "Emotional data" refers to information that indicates a user's current emotions, obtained through facial recognition and voice tone analysis.

[0758] An "interface" refers to the display screen or operating method that allows a system and a user to interact directly, and its role is to provide information to the user in an easy-to-understand manner.

[0759] An "application process" is a formal procedure that a user performs for items or services they have expressed interest in, and it is a process that can be automated.

[0760] The system for implementing this invention aims to provide a sense of security by optimizing the user's electronic payment experience in accordance with their emotions. This system is realized by coordinating a user terminal, a server, and an emotion analysis engine.

[0761] Users access online shopping platforms through devices such as smartphones. During this process, the device uses its camera and microphone to collect emotional data, such as the user's facial expressions and voice tone. This collected data is then transmitted to a server in the cloud.

[0762] The server uses machine learning-based software (e.g., machine learning API, emotion recognition API) for facial recognition and voice tone analysis. It analyzes the user's emotional state and generates a profile to optimize the interface during the payment process. This profile aims to reduce user anxiety and provide a sense of security, and is reflected in the user interface.

[0763] For example, if a user is about to purchase a new electronic device, the server detects from emotional data that the user is feeling anxious about the unfamiliar, expensive product. The system then displays messages to alleviate that anxiety and simplifies the payment process, thereby encouraging the user to make a smooth purchase.

[0764] As an example of a prompt message for a generating AI model, you can specify the content the system should generate by saying, "Please display a message that alleviates anxiety so that the user can complete their online purchase with peace of mind."

[0765] In this way, the system customizes the electronic payment experience based on the user's emotions, providing comfort and reliability.

[0766] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0767] Step 1:

[0768] The device collects the user's facial expressions and voice. Specifically, it uses the smartphone's camera and microphone to record the user's facial expressions and voice tone in real time. This input data is then prepared to be sent to an emotion analysis engine.

[0769] Step 2:

[0770] The server receives facial expression and voice tone data sent from the terminal. Next, it uses an emotion recognition API to analyze the user's emotional state from this data. The analysis results output data indicating an emotional state, such as "relaxed," "stressed," or "anxious."

[0771] Step 3:

[0772] The server updates the user profile using the sentiment analysis results. The user profile includes not only the user's preferences and behavioral history, but also their current emotional state. This profile is then used to output data for appropriate interface adjustments for the user.

[0773] Step 4:

[0774] The server generates an optimal interface based on the user profile and current purchase history. For example, if the profile contains data indicating anxiety, the interface will be adjusted to be simple and reassuring. This output is sent to and displayed on the terminal.

[0775] Step 5:

[0776] The terminal displays an optimized view for the user based on interface adjustment information received from the server. This creates an environment where users can proceed with the payment process with peace of mind. As an example prompt, it generates and displays the message "Please display a message to support the user so that they can complete the purchase with peace of mind."

[0777] In this way, the entire system works together to provide a digital payment experience that is sensitive to the user's emotions.

[0778] 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.

[0779] 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.

[0780] 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 robot 414.

[0781] 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.

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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."

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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.

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0799] The following is further disclosed regarding the embodiments described above.

[0800] (Claim 1)

[0801] A means of generating a user profile using information collected from users,

[0802] A means for collecting property information from external real estate information sources, evaluating the reliability of said property information, and filtering it,

[0803] A method for matching user profiles with filtered property information to select properties that match the user's criteria,

[0804] A means of presenting selected property information to the user and providing an interface that allows for detailed comparison,

[0805] A means to automate the application process based on the user's application intention,

[0806] A system that includes this.

[0807] (Claim 2)

[0808] The system according to claim 1, which contacts real estate agents based on the user's request for a viewing and automatically sets up viewing appointments.

[0809] (Claim 3)

[0810] The system according to claim 1, which automatically fills in the online form required for a user's application process and makes it available for download.

[0811] "Example 1"

[0812] (Claim 1)

[0813] A means of generating individual user profiles using attribute information collected from users,

[0814] A means of collecting real estate data from external information sources, evaluating the accuracy of said data,

[0815] A method for matching user profiles with filtered real estate data to select properties that meet the user's criteria,

[0816] A visualization method to present selected real estate data to users and enable detailed comparison,

[0817] A means to automate the property application process based on user preferences,

[0818] A system that includes this.

[0819] (Claim 2)

[0820] The system according to claim 1, which communicates with information providers based on the user's request for a viewing and automatically sets up a viewing appointment.

[0821] (Claim 3)

[0822] The system according to claim 1, which automatically generates and makes available the digital forms necessary for the user's application procedure.

[0823] "Application Example 1"

[0824] (Claim 1)

[0825] A means of generating a user profile using information collected from users,

[0826] A means for collecting product information from external sources of product information, evaluating the reliability of said product information, and filtering it,

[0827] A means of matching user profiles with filtered product information to select products that match the user's criteria,

[0828] A means of presenting selected product information to the user and providing an interface that allows for detailed comparison,

[0829] A means to automate the reservation process based on the user's reservation intention,

[0830] A means of updating inventory information in real time,

[0831] A system that includes this.

[0832] (Claim 2)

[0833] The system according to claim 1, which contacts stores based on a user's request to reserve a product and automatically sets up the product reservation.

[0834] (Claim 3)

[0835] The system according to claim 1, which automatically fills in the online form required for the user's reservation procedure and makes it available for download.

[0836] "Example 2 of combining an emotion engine"

[0837] (Claim 1)

[0838] A mechanism that generates individual profiles based on information obtained from the user,

[0839] A mechanism that imports property information obtained from external databases, analyzes its reliability, and narrows down the options,

[0840] A mechanism that compares the generated profile with filtered property information and selects properties that match the user's desired conditions,

[0841] A mechanism that provides a display platform to show selected property information to the user and allow for detailed comparison,

[0842] A mechanism that automates the application process in response to application instructions from users,

[0843] A mechanism that measures and analyzes user sentiment data and reflects it in property suggestions and display content,

[0844] A system that includes this.

[0845] (Claim 2)

[0846] The system according to claim 1, which contacts a service provider based on the user's request for a visit and automatically arranges a visit appointment.

[0847] (Claim 3)

[0848] The system according to claim 1, which automatically generates and makes downloadable fill-in-the-blank data necessary for a user's application procedure.

[0849] "Application example 2 when combining with an emotional engine"

[0850] (Claim 1)

[0851] A means of generating a user profile using information collected from users,

[0852] A means for collecting information from external property information sources, evaluating the reliability of said information, and filtering it,

[0853] A means of comparing the user profile with filtered information and selecting items that match the user's criteria,

[0854] A means of presenting selected information to the user and providing an interface that allows for detailed comparison,

[0855] A means for acquiring user emotion data and adjusting the display of the user interface based on said emotion data,

[0856] A means to automate the application process based on the user's application intention,

[0857] A system that includes this.

[0858] (Claim 2)

[0859] The system according to claim 1, which monitors the emotional state of the user during the user experience process and modifies the procedure based on that state.

[0860] (Claim 3)

[0861] The system according to claim 1, which automatically fills in the online form required for the user's payment procedure and makes it available for download. [Explanation of Symbols]

[0862] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of generating a user profile using information collected from users, A means for collecting product information from external sources of product information, evaluating the reliability of said product information, and filtering it, A means of matching user profiles with filtered product information to select products that match the user's criteria, A means of presenting selected product information to the user and providing an interface that allows for detailed comparison, A means to automate the reservation process based on the user's reservation intention, A means of updating inventory information in real time, A system that includes this.

2. The system according to claim 1, which contacts stores based on a user's request to reserve a product and automatically sets up the product reservation.

3. The system according to claim 1, which automatically fills in the online form required for the user's reservation procedure and makes it available for download.

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