system

Abstract

Provide a system. [Solution] an input means for inputting family information and requirements from a user; a validation means for validating the input information; a transmitting means for transmitting the verified information to a server; a search means in the server for searching a database based on the received information; A selection method to select the best property candidates from the search results, a sending and responding means for sending the selected property candidates to the user as a response; display means for displaying the information received by the user; A system including:

Description

[Technical Field]

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

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

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

[0004] For modern families, selecting the optimal home for their family structure and lifestyle is important, but the process is extremely time-consuming and labor-intensive. For example, it can be difficult to find a home that meets the individual needs of families with young children, elderly people, wheelchair users, and school-age children. Furthermore, because home selection involves a wide range of factors, such as rent and convenience for commuting to work or school, there is a need for an efficient method to find the optimal property that meets each individual requirement. Therefore, there is a need for a system that can effectively match users with the optimal home based on their specific conditions and needs. [Means for solving the problem]

[0005] To solve this problem, the present invention provides the following means. It includes an input means for the user to input family information and requirements, a verification means for validating the input information, and a transmission means for transmitting information that passes verification to a server. The server further includes a search means for searching a database based on the received information and a selection means for selecting optimal property candidates from the search results. It also provides a transmission / response means for transmitting the selected property candidates to the user as a response, and a display means for displaying the information received by the user. It also includes a scoring means for assigning an evaluation score to the optimal property candidate and sorting the properties in descending order of score. It also provides a re-search means for the user to input new additional conditions, perform a re-search based on the entered conditions, and re-select the optimal property candidate. This realizes a system that allows users to easily find the perfect home that meets their needs.

[0006] "Family information" is information relating to the user's family structure and lifestyle.

[0007] "Requirements" are the specific wishes and requirements for the home the user desires.

[0008] "Input means" refers to a device or interface that allows a user to input family information and requirements.

[0009] A "verification measure" is a mechanism that verifies that the information entered is accurate and correct in form and content.

[0010] "Transmission means" refers to a technique for transmitting information that has passed verification to a server.

[0011] "Search means" refers to the technology used by the server to search the database based on the information received.

[0012] The "selection means" is a mechanism for selecting the most suitable property candidates from the results obtained by the search means.

[0013] The "transmission and response means" is a technology for transmitting the selected property candidates to the user's terminal.

[0014] The "display means" is an interface that displays the property information received by the user so that the user can visually confirm it.

[0015] A "scoring means" is a technique for assigning evaluation scores to property candidates and sorting them in descending order of score.

[0016] The "re-search means" is a mechanism that allows the user to input new additional conditions and search the database again based on those conditions. [Brief explanation of the drawings]

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

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

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

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

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

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

[0023] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0025] [First embodiment]

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

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

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

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

[0030] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

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

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

[0036] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

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

[0038] The present invention is a system that proposes the optimal home based on the user's family structure and lifestyle, and specific embodiments thereof are described below. This system involves a series of processes in which the user inputs family information and requirements using a terminal, and the server searches for and selects the optimal property candidates based on that information and proposes them to the user.

[0039] Program processing

[0040] 1. User request input

[0041] User:

[0042] Users access the system using terminals.

[0043] Family information and requirements (for example, "two boys running around energetically," "senior citizen using a wheelchair," "good access to a famous cram school for junior high school entrance exams," "rent up to 100,000 yen," etc.) are entered through the terminal's input interface.

[0044] 2. Saving and validating conditions

[0045] Device:

[0046] Temporarily stores information entered by the user.

[0047] Validate each field in the form (e.g., ensure rent is a number, and required fields are filled in) to ensure the accuracy of the input.

[0048] If there is a validation problem, an error message is displayed to the user, prompting them to correct it.

[0049] 3. Submitting the conditions

[0050] Device:

[0051] Send information that passes validation to the server.

[0052] 4. Database Search

[0053] server:

[0054] The received information is analyzed and searched in a database.

[0055] Filter properties based on family size, requirements, and special requests (e.g., accessibility, lot size, etc.).

[0056] 5. Selection of the best candidate

[0057] server:

[0058] An evaluation score is assigned to properties in the search results, and they are scored according to each condition.

[0059] Sort the properties by highest score and select a few of the best property candidates.

[0060] 6. Sending and displaying results

[0061] server:

[0062] A list of optimal property candidates is generated and sent to the user's device.

[0063] Device:

[0064] Receive the list and display it for the user to review, including detailed information (e.g., address, floor plan, rent, photos, map link, etc.).

[0065] 7. Additional Customization

[0066] User:

[0067] Review the proposed properties and enter any new requirements or further refinement criteria (e.g., "property with garden" or "building less than 5 years old").

[0068] Enter new conditions again through the terminal and request a new search.

[0069] Device:

[0070] Send the new conditions to the server.

[0071] server:

[0072] The database will be searched again based on the new conditions, and the most suitable property candidates will be selected and responded to.

[0073] The above is a specific embodiment of the system according to the present invention, which enables users to efficiently find a home that suits their family structure and lifestyle.

[0074] The processing flow will be explained below.

[0075] Step 1:

[0076] User:

[0077] Users access the system's website or application using a terminal. They enter family information and specific requirements into the input interface. For example, they can enter "two boys running around energetically," "senior citizen using a wheelchair," "good access from a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[0078] Step 2:

[0079] Device:

[0080] The information entered by the user is temporarily stored in memory and validation is performed on each field, such as checking that the rent is entered as a number and that all required fields are filled in. If validation fails, an error message is displayed to the user, prompting them to try again.

[0081] Step 3:

[0082] Device:

[0083] Once validation is complete, the information confirming that all fields have been entered correctly is sent to the server in an appropriate data format such as JSON or XML.

[0084] Step 4:

[0085] server:

[0086] The server analyzes the received information and searches a database based on the user's family information and the requested conditions, for example, by generating a database query and executing the query to retrieve property information that matches the conditions.

[0087] Step 5:

[0088] server:

[0089] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[0090] Step 6:

[0091] server:

[0092] Based on the scoring results, the properties are sorted in descending order of score.Then, the property candidates that best meet the user's requirements are selected.A list of selected properties is generated and sent to the terminal as a response.

[0093] Step 7:

[0094] Device:

[0095] The property list received from the server is displayed on the user interface, including detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area.

[0096] Step 8:

[0097] User:

[0098] Check the provided property list and enter additional conditions if you want to narrow down your search further or add new requirements. For example, you can re-enter conditions such as "property with garden" or "building less than 5 years old."

[0099] Step 9:

[0100] Device:

[0101] The newly entered conditions are validated again, and if there are no problems, they are sent to the server. As before, use an appropriate data format such as JSON or XML.

[0102] Step 10:

[0103] server:

[0104] Based on the new conditions received, the system searches the database again, scores and sorts the best property candidates, and then sends the reselected property list to the terminal.

[0105] Step 11:

[0106] Device:

[0107] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[0108] The above are the specific processing steps of the system according to the present invention, which allows users to easily find the best home that meets their needs.

[0109] Example 1

[0110] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0111] In order to accommodate the diverse family structures and lifestyles of today's society, users need to be able to find the perfect home efficiently and quickly. However, conventional systems face many challenges, such as verifying the accuracy of input information, improving the accuracy of search results, flexibly responding to additional conditions, and secure data transmission. This makes it difficult to meet the diverse needs of users, and it takes a great deal of time and effort to find the ideal home.

[0112] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0113] In this invention, the server includes an input means for a user to input family composition information and requirements via a user terminal, a verification means for validating the input information to confirm its accuracy, a transmission means for transmitting information that has passed the verification to the server, a search means in the server for searching a database based on the received information, a selection means for selecting optimal property candidates from the search results, a transmission / response means for transmitting the selected property candidates as a response to the user, a display means for displaying the information received by the user, a re-search means for receiving additional requirements from the user via the terminal and performing a search again, a scoring means for assigning evaluation scores to optimal property candidates and sorting properties in descending order of score, and the information entered by the user is encrypted using a security protocol and securely transmitted. By implementing this system, users can efficiently and safely find the optimal home that meets their diverse needs.

[0114] The "input means" is a means for a user to input family composition information and required conditions into the system via a terminal.

[0115] "Verification means" refers to a means of validating the entered information to ensure that it is accurate and complete.

[0116] The "transmission means" is a means for transmitting information that has passed verification to the server.

[0117] The "search means" is a means for searching the database based on the information received by the server.

[0118] The "selection means" is a means for selecting the most suitable property candidate from the search results.

[0119] The "transmission response means" is a means for transmitting the selected property candidates to the user as a response.

[0120] The "display means" is a means for displaying the information received by the user.

[0121] The "re-search means" is a means for receiving additional request conditions from the user and conducting a search again.

[0122] The "scoring means" is a means for assigning evaluation scores to optimal property candidates and sorting the properties in descending order of scores.

[0123] A "security protocol" is a technology for encrypting information entered by a user and transmitting it securely.

[0124] MODE FOR CARRYING OUT THE INVENTION

[0125] The present invention is a system that proposes the optimal home based on the user's family structure and lifestyle, and specific embodiments thereof are described below. This system involves a series of processes in which the user inputs family information and requirements using a terminal, and the server searches for and selects the optimal property candidates based on that information and proposes them to the user.

[0126] Hardware and software used

[0127] Hardware:

[0128] Devices: Smartphones, PCs

[0129] Server: Cloud server (e.g., Amazon Web Services, Microsoft® Azure®)

[0130] software:

[0131] Front-end: HTML, CSS, JavaScript (registered trademark)

[0132] Validation: JavaScript

[0133] Backend: Python, Node.js

[0134] Database: MySQL(registered trademark), PostgreSQL

[0135] Program processing overview

[0136] 1. User request input

[0137] Users access the system using a web browser on their smartphone or PC. They enter information about their family composition and lifestyle into an input form in the web application. For example, "Two adults, two children. Junior high school entrance exams are coming up, so we need good access to a famous cram school. We have a senior who uses a wheelchair, so we need a barrier-free property. Rent should be less than 100,000 yen."

[0138] 2. Saving and validating conditions

[0139] The device temporarily stores the entered information. JavaScript is used to validate the entered information. For example, it checks that the rent is a number and that all required fields have been entered. If validation fails, an error message is displayed to the user urging them to make corrections.

[0140] 3. Submitting the conditions

[0141] The device sends the information that has passed verification to the server via an HTTP request, encrypting the data using HTTPS to ensure secure transmission.

[0142] 4. Database Search

[0143] The server analyzes the information sent by the user and searches the database, including family structure, requirements, and special requests (e.g., barrier-free access, lot size, etc.). It generates a specific SQL query and searches the database (MySQL, PostgreSQL, etc.).

[0144] 5. Selection of the best candidate

[0145] The server selects suitable property candidates from the search results, assigns them an evaluation score, sorts the properties in descending order of score, and creates a list of the most suitable properties. For example, the evaluation criteria include rent, accessibility, and floor plan.

[0146] 6. Sending and displaying results

[0147] The server generates a list of suitable property candidates and sends it to the user's device. The device then displays the received information to the user through a web application. The displayed information includes addresses, floor plans, rents, photos, and map links.

[0148] 7. Additional Customization

[0149] The user reviews the proposed properties and inputs new requirements or further refinements. For example, they may input "I want a property with a garden" or "A property less than five years old." The device compiles the new requirements and sends them back to the server. The server then searches again based on the new requirements, selects the most suitable property candidates again, and sends the results back to the user's device.

[0150] Specific examples

[0151] Example prompt sentence:

[0152] "Our family consists of two adults and two children. They are preparing for junior high school entrance exams, so we are looking for a property with good access to a famous cram school and rent of up to 100,000 yen. We are also planning to have a senior who uses a wheelchair living there, so a barrier-free property is a requirement."

[0153] In this way, the system can reflect the user's detailed needs and provide the most suitable home efficiently and safely.

[0154] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0155] Step 1:

[0156] Users access the system's web application using their smartphone or PC. By opening a web browser, an input form is displayed in which they can enter information about their family structure and lifestyle.

[0157] Input: "2 adults, 2 children. Junior high school entrance exams coming up, so good access to a famous cram school. Barrier-free access is required as there is a senior in a wheelchair. Rent is under 100,000 yen."

[0158] Output: The input information is saved in a form field in the web application.

[0159] Step 2:

[0160] The device uses JavaScript to validate the information entered, checking whether the rent is a number, whether required fields have been entered, etc.

[0161] Input: Information entered by the user.

[0162] Output: Validation result. If validation fails, an error message is displayed and the user is prompted to correct the error. An error message such as "Please enter a numeric value for rent" is returned.

[0163] Step 3:

[0164] The terminal sends the information that has passed the verification to the server via an HTTP request (e.g., HTTP POST method), encrypting it using HTTPS to ensure data security.

[0165] Input: User information that passes verification.

[0166] Output: Sends the encrypted data to the server.

[0167] Step 4:

[0168] The server analyzes the received information and understands the user's needs. It searches for property information using a database (e.g., MySQL, PostgreSQL). It filters properties based on family structure, requirements, and special requests (e.g., barrier-free access, lot size, etc.).

[0169] Input: User's family information and requirements.

[0170] Output: A list of properties that match the criteria. Execute the SQL query and get the search results.

[0171] Step 5:

[0172] The server selects suitable property candidates from the search results, assigns them evaluation scores, and calculates scores according to each condition (e.g., rent, accessibility, floor plan, etc.). It sorts the properties with the highest scores and creates a list of the most suitable properties.

[0173] Input: Search results property list.

[0174] Output: A scored and sorted list of properties.

[0175] Step 6:

[0176] The server generates a list of suitable property candidates and sends it to the user's device. The list includes detailed property information (e.g., address, floor plan, rent, photos, map links, etc.).

[0177] Input: A sorted list of properties.

[0178] Output: Sends the property list with detailed information to the user's device.

[0179] Step 7:

[0180] The terminal displays the received property list on the user interface of the web application, and the user checks the displayed property information.

[0181] Input: Property list sent from the server.

[0182] Output: Property information displayed on the web application screen (e.g. address, floor plan, rent, photos, map link, etc.).

[0183] Step 8:

[0184] The user reviews the proposed properties and then inputs further refinements or new requirements. The device then compiles the new criteria and sends them back to the server. This process is repeated until the optimal property is found that meets the user's detailed needs.

[0185] Input: The user's new requirements (e.g., "I want a property with a garden," "The building must be less than five years old," etc.).

[0186] Output: New criteria sent to the server, search performed again, and results returned to the user.

[0187] The above is the specific processing flow of this system with specific functions.

[0188] (Application example 1)

[0189] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0190] Conventional real estate property search systems have difficulty in quickly and appropriately suggesting properties that suit a user's family structure and lifestyle. Furthermore, the time required to input detailed requirements is time-consuming, resulting in a poor user experience. Furthermore, the lack of search methods that utilize interfaces such as voice recognition or touch input makes it difficult to efficiently search for properties.

[0191] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0192] In this invention, the server includes input means for inputting family information and requirements, verification means for validating the input information, transmission means for transmitting information that has passed validation to the server, cloud search means for searching a real estate property database based on the received information using a cloud server, selection means for selecting optimal property candidates from the search results, transmission / response means for transmitting the selected property candidates as a response to the user, display means for displaying the information received by the user, and interface means for inputting requirements using voice recognition or touch input. This allows the user's detailed requirements to be efficiently input and searched for, making it possible to quickly suggest optimal properties that suit their family structure and lifestyle.

[0193] "Family information" refers to information about the user's family, such as family structure, number of people, and ages.

[0194] "Requirements" refers to the property conditions and special needs that users desire (e.g. rent, location, facilities, etc.).

[0195] "Input means" refers to an interface that allows a user to input family information and requirements into the system.

[0196] "Verification means" refers to the function of checking whether the entered information is accurate and performing validation.

[0197] "Transmission means" refers to a function for transmitting information that has passed verification to a server.

[0198] "Cloud search means" refers to a function that searches a real estate property database based on information received using a cloud server.

[0199] "Selection method" refers to the function of selecting the most suitable property candidate from the search results.

[0200] The "transmission response means" refers to a function for transmitting the selected property candidates to the user as a response.

[0201] "Display means" refers to a function that displays the received information and property candidates so that the user can check them.

[0202] "Interface means" refers to a function for inputting requirements using voice recognition or touch input.

[0203] "Scoring method" refers to the function of assigning evaluation scores to the most suitable property candidates and sorting the properties in order of highest score.

[0204] The "re-search means" refers to a function that allows the user to input new additional conditions, conduct a search again based on those conditions, and reselect the most suitable property candidate.

[0205] This invention is a system that provides optimal housing according to the user's family structure and lifestyle. This system involves a series of processes in which the user inputs family information and requirements via their own terminal, and the server searches for and selects optimal property candidates based on that information and proposes them to the user.

[0206] Hardware and Software

[0207] Terminal: A device used by a user, including a smartphone, smart glasses, or a head-mounted display.

[0208] Server: Uses cloud servers, which are hardware used to perform database searches, information analysis, and filtering.

[0209] Software: An application server written in Python, using the Flask framework, the Requests library (for API requests), and a database (MySQL or NoSQL).

[0210] System Details

[0211] 1. User request input

[0212] Users access the system using a smartphone, smart glasses, or a head-mounted display.

[0213] Provides an interface for entering family information and requirements using voice recognition or touch input.

[0214] Example: A user speaks, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties."

[0215] 2. Saving and validating conditions

[0216] The terminal temporarily stores the information entered by the user and performs validation on each field of the form.

[0217] If there is a validation problem, an error message is displayed to the user, prompting them to correct it.

[0218] 3. Submitting the conditions

[0219] Send information that passes validation to the server.

[0220] 4. Database Search

[0221] The server analyzes the received information and searches a real estate property database.

[0222] Utilize cloud servers to efficiently filter the database.

[0223] 5. Selection of the best candidate

[0224] The server assigns evaluation scores to properties in the search results and scores them according to each condition.

[0225] Properties are sorted by highest score to select the best property candidate.

[0226] 6. Sending and displaying results

[0227] The server generates a list of optimal property candidates and sends it to the user's terminal.

[0228] Displays the list the user has received, including detailed information (address, floor plan, rent, photos, map link, etc.).

[0229] 7. Additional Customization

[0230] Users can review the proposed properties and enter new requirements or further refine their search criteria.

[0231] For example, the user can enter additional conditions such as "the house must have a garden" or "the building must be less than five years old" and request a new search based on those conditions.

[0232] Leveraging generative AI models

[0233] This system uses a generative AI model to enable flexible searches based on prompts entered by users. For example, in response to a prompt such as, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties," the generative AI model will search for and select the most suitable property.

[0234] In this way, users can efficiently input and search for detailed requirements, making it possible to quickly suggest the most suitable property based on their family composition and lifestyle.

[0235] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0236] Step 1:

[0237] Users access the system via a smartphone, smart glasses, or head-mounted display. They input their family information and requirements using voice recognition or touch input. Specifically, the user might say, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties."

[0238] Step 2:

[0239] The entered family information and requirements are temporarily saved on the terminal. The terminal validates the input, for example, ensuring that the rent is in numeric format and that all required fields have been entered. If there is a validation error, an appropriate error message is displayed to the user, prompting them to correct it.

[0240] Step 3:

[0241] Information that passes validation is sent from the terminal to the server. The input information is sent to the cloud server via this transmission means.

[0242] Step 4:

[0243] The server analyzes the received information and searches a real estate property database. Specifically, it uses a generative AI model to interpret the user's prompt and filter the database for relevant properties. For example, it applies filters such as "rent under 100,000 yen" and "barrier-free accessibility."

[0244] Step 5:

[0245] The server assigns an evaluation score to the filtered properties, scores each property based on how well it matches the criteria, sorts the properties by highest score, and selects the most suitable property candidate.

[0246] Step 6:

[0247] The server then sends a list of the best property candidates to the user's device, including detailed information such as the property's address, floor plan, rent, photos, and a map link.

[0248] Step 7:

[0249] The user reviews the proposed properties and enters more detailed criteria if necessary, such as "the house must have a garden" or "the building must be less than five years old." This information is then sent back to the server via the device, and a new search is performed.

[0250] Step 8:

[0251] The server searches the database again based on the received additional conditions and selects new optimal property candidates. The selected candidates are again sent to the user's terminal and displayed to the user.

[0252] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0253] This invention combines a system that proposes the most suitable home based on the user's family structure and lifestyle with an emotion engine that recognizes the user's emotions. This system consists of a series of processes in which the user inputs family information and requirements using a terminal, the server selects the most suitable property candidates based on that, and then makes proposals taking into account the user's emotion information.

[0254] Program processing

[0255] 1. User request input

[0256] User:

[0257] A user uses a terminal to access a website or application of the system.

[0258] Enter your family information and specific requirements. For example, enter "two boys running around energetically," "senior citizen with wheelchair access," "good access to a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[0259] 2. Saving and validating conditions

[0260] Device:

[0261] The information entered by the user is temporarily stored in memory and each field is validated to ensure accuracy, such as checking that the rent is entered as a number and that all required fields are filled in.

[0262] If validation fails, an error message is displayed to the user and they are asked to re-enter the information.

[0263] 3. Submitting the conditions

[0264] Device:

[0265] The information that passes validation is sent to the server in an appropriate data format such as JSON or XML.

[0266] 4. Database Search

[0267] server:

[0268] The received information is analyzed and a database is searched based on the user's family information and requirements, for example, a database query is generated and executed to retrieve property information that matches the requirements.

[0269] 5. Selection of the best candidate

[0270] server:

[0271] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[0272] 6. Generate and send results

[0273] server:

[0274] Based on the scoring results, the properties are sorted in descending order of score, and the most suitable property candidates are selected. A list of selected properties is generated and sent to the terminal as a response.

[0275] 7. Displaying the results

[0276] Device:

[0277] The property list received from the server is displayed on the user interface, including detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area.

[0278] 8. Acquiring and considering emotional information

[0279] Device:

[0280] Based on the user's input and operations, the emotion engine analyzes the user's emotions and acquires information about them, such as the user's facial expressions and tone of voice.

[0281] server:

[0282] The emotional information acquired by the emotion engine is reflected and used to score and select property candidates, adjusting the optimal proposals according to the user's emotional state.

[0283] 9. Additional Customization

[0284] User:

[0285] Review the proposed properties and enter additional conditions if necessary. For example, re-enter detailed conditions such as "property with garden" or "building less than 5 years old."

[0286] Device:

[0287] Send the new conditions to the server.

[0288] server:

[0289] The system searches the database again based on the new conditions, selects the most suitable property candidates taking into account emotional information, generates a list, and sends it to the terminal.

[0290] Device:

[0291] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[0292] The above is a specific embodiment of the system of the present invention. The system incorporating this emotion engine enables users to select a home with higher accuracy and that provides emotional satisfaction.

[0293] The processing flow will be explained below.

[0294] Step 1:

[0295] User:

[0296] Users access the system's website or application using a terminal. They enter their family information and specific requirements. Examples include "two boys running around energetically," "senior citizen using a wheelchair," "good access from a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[0297] Step 2:

[0298] Device:

[0299] The information entered by the user is temporarily stored in memory and validation is performed for each field. For example, it checks that the rent is a numeric value and that all required fields (family composition, required conditions, etc.) have been entered. If validation fails, an error message is displayed to the user and they are prompted to re-enter the information.

[0300] Step 3:

[0301] Device:

[0302] The information that passes validation is sent to the server in an appropriate data format such as JSON or XML.

[0303] Step 4:

[0304] server:

[0305] The server analyzes the received information and searches the database based on the user's family information and requirements, for example, by generating an SQL query to retrieve property information that matches the requirements.

[0306] Step 5:

[0307] server:

[0308] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[0309] Step 6:

[0310] server:

[0311] Based on the scoring results, the properties are sorted in descending order of score.The system then selects the property candidates that best meet the user's requirements, generates a list of the selected properties, and sends it to the terminal.

[0312] Step 7:

[0313] Device:

[0314] The property list received from the server is displayed on the user interface, including detailed information such as the property address, floor plan, rent, photos, and a link to a map of the surrounding area.

[0315] Step 8:

[0316] Device:

[0317] The emotion engine analyzes the user's emotions based on their input and operations. For example, it can analyze the user's facial expressions using a webcam, or infer emotions from the user's typing speed and mouse movements.

[0318] Step 9:

[0319] server:

[0320] The emotion engine adjusts the scoring and selection of property candidates based on the user's emotional information. For example, if the user shows signs of dissatisfaction, the evaluation is changed to give more weight to that condition.

[0321] Step 10:

[0322] server:

[0323] Based on the rescoring results that take into account emotional information, the property candidate list is updated and sent to the user's device.

[0324] Step 11:

[0325] Device:

[0326] The updated property listing is redisplayed in the user interface, allowing the user to reassess based on the new information.

[0327] Step 12:

[0328] User:

[0329] After reviewing the proposed properties, if you want to narrow down your search with more detailed conditions or add new requirements, you can enter additional conditions. For example, you can enter "property with garden" or "building less than 5 years old."

[0330] Step 13:

[0331] Device:

[0332] The newly entered conditions are validated again, and if there are no problems, they are sent to the server.

[0333] Step 14:

[0334] server:

[0335] The search is carried out again based on the new conditions, and the most suitable property candidates are reselected taking into account emotional information. The results are then sent to the device.

[0336] Step 15:

[0337] Device:

[0338] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[0339] The above is a specific embodiment of the system of the present invention. The system incorporating this emotion engine enables users to select a home with higher accuracy and that provides emotional satisfaction.

[0340] Example 2

[0341] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0342] Conventional property selection systems suggest optimal housing based on the user's family structure and lifestyle, but because they are unable to consider the user's emotional information, they are unable to sufficiently increase user satisfaction. In addition, they often cannot quickly respond to users' needs for additional conditions or repeated searches, making it difficult to provide flexible services.

[0343] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0344] In this invention, the server includes input means for inputting family information and requirements from the user, verification means for validating the input information, transmission means for transmitting information that has passed verification to the server, search means for searching a database based on the received information, selection means for selecting optimal property candidates from the search results, transmission / response means for transmitting the selected property candidates as a response to the user, display means for displaying the information received by the user, and emotion engine means for acquiring emotional information from the user and adjusting the property candidates based on that information. This enables property selection that takes the user's emotional information into consideration, enabling proposals for homes with even higher satisfaction and flexible responses.

[0345] The "input means" is a means for receiving family information and requirements from the user.

[0346] "Verification means" refers to means for verifying the accuracy and completeness of input information.

[0347] The "transmission means" is a means for transmitting information that has passed verification to the server.

[0348] "Search means" refers to means for searching the database based on the information received at the server.

[0349] The "selection means" is a means for selecting the most suitable property candidate from the search results.

[0350] The "transmission response means" is a means for transmitting the selected property candidates to the user as a response.

[0351] The "display means" is a means for displaying the information received by the user.

[0352] The "emotion engine means" is a means for acquiring the user's emotion information and adjusting the property candidates based on that information.

[0353] The "scoring means" is a means for assigning evaluation scores to the most suitable property candidates and sorting them in descending order of scores.

[0354] The "re-search means" is a means for the user to input new additional conditions, conduct a search again based on the new conditions, and select the most suitable property candidate again.

[0355] This invention combines a system that proposes the most suitable home based on the user's family structure and lifestyle with an emotion engine that recognizes the user's emotions. This system consists of a series of processes in which the user inputs family information and requirements using a terminal, the server selects the most suitable property candidates based on that, and then makes proposals taking into account the user's emotion information.

[0356] Input and validation methods

[0357] The user uses a terminal to access the system's website or application. There, they enter family information and specific requirements. For example, they might enter information such as "two boys running around energetically," "senior citizen using a wheelchair," "good access from a well-known cram school for junior high school entrance exams," and "rent up to 100,000 yen." The terminal temporarily stores the entered information in memory and performs validation. It checks whether the input is accurate and whether all required fields have been filled in. If there are any errors, an error message is displayed to the user, and they are asked to re-enter the information.

[0358] Transmission and retrieval means

[0359] If the entered information is correct and passes validation, the device sends it to the server in an appropriate format, such as JSON or XML. The server then analyzes the information and searches a database. For example, a query like the following can be used:

[0360] sql

[0361] SELECT FROM properties WHERE rent <= 100000 AND wheelchair_accessible = TRUE AND location IN (SELECT location FROM schools WHERE name = 'famous cram school')

[0362] Selection means and transmission response means

[0363] The server selects the most suitable property candidates from the search results. This selection is based on the results of a scoring process that takes into account factors such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building. The server generates a list of the most suitable property candidates and sends it to the terminal as a response.

[0364] Display means and emotion engine means

[0365] The device displays the property list received from the server on the user interface. This list includes detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area. The emotion engine also analyzes the user's facial expressions and tone of voice to obtain emotional information. The user's reactions are captured using a webcam and microphone and sent to the server. The server then re-scores the property candidates based on the emotional information and adjusts them according to the user's emotions.

[0366] Examples and prompts

[0367] As a concrete example, consider the case where a user enters the following: "We are a family of three living in Tokyo with two pets (dogs). We would prefer a location close to a park for our children and a 10-minute walk from the station. We are looking for a new property with rent of less than 150,000 yen."

[0368] An example of a prompt is as follows:

[0369] "We are a family of three living in Tokyo with two pets (dogs). We would like to find a property that is close to a park where the children can play and is within a 10-minute walk of the station. We would like the property to be as new as possible with rent of less than 150,000 yen."

[0370] This allows the system to propose optimal housing based on the user's needs as well as emotional information, thereby increasing user satisfaction.

[0371] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0372] Step 1:

[0373] Users use their devices to access the system's website or application, enter their family information and specific requirements.

[0374] Input: Family information, specific requirements

[0375] Output: Temporarily save the input information

[0376] Specific operation: When a user enters information into an input form and presses the "Submit" button, the information is temporarily stored in memory.

[0377] Step 2:

[0378] The terminal validates the information entered, checking that the rent is a number, that all required fields are filled in, etc.

[0379] Input: Information entered

[0380] Output: Validation result (success / failure)

[0381] Specific operation: The terminal checks the data in each field, and if there is an error message, it displays it to the user and prompts them to re-enter the data.

[0382] Step 3:

[0383] The device sends the verified information to the server in an appropriate format, such as JSON or XML.

[0384] Input: Information that passes validation

[0385] Output: Data sent to the server

[0386] Specific operation: The terminal executes the sending procedure and sends the information to the server as an HTTP request.

[0387] Step 4:

[0388] The server analyzes the information it receives and searches a database, for example by generating an SQL query and executing it against the database.

[0389] Input: Information sent from the device

[0390] Output: Database search results

[0391] What happens: The server analyzes the information and executes a query to retrieve properties that match the criteria.

[0392] Step 5:

[0393] The server selects the most suitable property candidates from the search results, taking into consideration factors such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[0394] Input: Database search results

[0395] Output: Scored property candidates

[0396] Specific operation: The server runs a scoring algorithm and assigns a rating score to each candidate property.

[0397] Step 6:

[0398] The server generates a list of optimal property candidates and sends it to the terminal.

[0399] Input: Scored property candidates

[0400] Output: Response data to the terminal

[0401] Specific operation: The server constructs a property list as a response and sends it to the terminal as an HTTP response.

[0402] Step 7:

[0403] The terminal displays the property list received from the server on the user interface, including the property address, floor plan, rent, photos, and a link to a map of the surrounding area.

[0404] Input: Response data from the server

[0405] Output: A list of properties displayed in the user interface

[0406] Specific behavior: The device parses the received information and displays it in the user interface in an appropriate format.

[0407] Step 8:

[0408] The device uses an emotion engine to acquire the user's emotional information, analyzing the user's facial expressions and tone of voice to detect their emotional state.

[0409] Input: User's facial expression, tone of voice

[0410] Output: Emotional information

[0411] Specific operation: The device analyzes audio and video data captured using a webcam or microphone and generates emotional information.

[0412] Step 9:

[0413] The server receives the emotional information and re-scores and adjusts the property candidates based on that information.

[0414] Input: Emotion information

[0415] Output: Refined property candidate list

[0416] Specific operation: The server analyzes the emotion data and performs readjustments to reflect the original scoring.

[0417] Step 10:

[0418] The user can review the proposed properties and, if necessary, enter additional conditions, such as "with garden" or "built within the last five years."

[0419] Input: User additional conditions

[0420] Output: Updated conditions

[0421] Specific operation: The user enters additional conditions on the interface and presses the "Submit" button again.

[0422] Step 11:

[0423] The terminal sends the new conditions to the server.

[0424] Input: Updated conditions

[0425] Output: Send updated data to the server

[0426] Specific operation: The terminal executes the sending procedure again and sends the updated conditions to the server as an HTTP request.

[0427] Step 12:

[0428] The server re-searches the database based on the new conditions and selects the most suitable property candidates, taking into account emotional information.

[0429] Input: Updated conditions, existing emotion information

[0430] Output: Reselected property candidate list

[0431] Specific operation: The server executes the search procedure again and selects suitable properties while utilizing emotional information.

[0432] Step 13:

[0433] The terminal displays the retransmitted property list on the user interface, and the user can further confirm and select.

[0434] Input: Reselected property candidate list

[0435] Output: The updated list as displayed in the user interface

[0436] Specific operation: The device parses the received information again and displays the updated property list.

[0437] (Application example 2)

[0438] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0439] Conventional real estate recommendation systems could recommend properties based on a user's family structure and lifestyle, but they were unable to take the user's emotional state into account. This made it difficult to increase the user's psychological satisfaction, and the accuracy of optimal property selection was insufficient. Furthermore, it was difficult to quickly and appropriately re-recommend properties when the user's desired conditions changed. This resulted in a complex and time-consuming process for users to find their ideal home.

[0440] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for the user to input family information and requirements, a verification means for validating the input information, a transmission means for transmitting information that has passed the verification to the server, a search means in the server for searching a database based on the received information, a selection means for selecting optimal property candidates from the search results, a transmission / response means for transmitting the selected property candidates as a response to the user, a display means for displaying the information received by the user, an emotion recognition means for acquiring emotional information about the user, and a score adjustment means for adjusting the score of the property based on the emotional information. This enables highly accurate property suggestions that take the user's emotional state into consideration, thereby enabling a more satisfying home selection experience.

[0441] "Family Information" is detailed information about the user's family, such as family composition, ages, activities, and special needs.

[0442] "Requirements" are specific conditions and wishes that a user has when selecting a property, including rent, location, layout, facilities, etc.

[0443] "Input means" refers to an interface that allows users to input family information and requirements into the system, and refers to a smartphone application or website.

[0444] "Verification means" is a function for checking the accuracy and completeness of information entered by the user, and performs validation checks.

[0445] The "transmission means" is a function for sending the input information to the server, and uses JSON or XML as the data format.

[0446] The "search means" is a function that allows the server to search the database based on the information received from the user and find the relevant property.

[0447] The "selection means" is a function for selecting the property that best meets the user's requirements from the property information obtained by the search means.

[0448] The "transmission and response means" is a function for transmitting the selected property candidates to the user.

[0449] "Display means" refers to a function for visually displaying the property information received by the user, and refers to the display of a smartphone or PC.

[0450] The "emotion recognition means" is a function for analyzing the user's emotions from facial expressions, tone of voice, etc., and acquiring that information.

[0451] The "score adjustment means" is a function for adjusting the property evaluation score based on the emotional information acquired by the emotion recognition means, and for making optimal property suggestions according to the user's emotional state.

[0452] This invention is a system that proposes the most suitable home based on the user's family structure and lifestyle, and is combined with an emotion engine that recognizes the user's emotions. This system is implemented according to the following steps.

[0453] 1. User Input

[0454] Users access the system using devices such as smartphones or PCs and enter family information and desired conditions. For example, they enter conditions such as rent, location, floor plan, and surrounding facilities. The user interface uses text boxes, drop-down menus, check boxes, and so on. A specific example is the following request: "Please find properties with rent of less than 100,000 yen, that are barrier-free, and allow pets."

[0455] 2. Verification of Information

[0456] The terminal temporarily stores the information entered by the user in memory and checks the accuracy of the input. For example, it performs validation such as whether the rent is entered as a number and whether all required fields are filled in. If there are any errors, it displays an error message to the user and urges them to re-enter the information.

[0457] 3. Transmission of Information

[0458] Once the information passes validation, it is sent to the server in a format such as JSON or XML, which receives it and prepares a search query to be executed against the database.

[0459] 4. Database Search

[0460] The server searches a database based on the received information. The database stores detailed information about each property, and retrieves properties that match the search query.

[0461] 5. Acquiring Emotional Information

[0462] While the user is entering property information, the device's built-in camera and microphone are used to record and analyze the user's facial expressions and voice, and emotional information is obtained. For example, the user's level of satisfaction can be measured from their facial expression when they view a specific property image.

[0463] 6. Selection and scoring of optimal candidates

[0464] The server scores the acquired property information based on the user's requirements and emotional information. Based on the emotional information, the server adjusts the property score and selects the most suitable property. Scoring is based on multiple factors, including rent, location, and the level of facilities.

[0465] 7. Sending and Displaying Results

[0466] The selected property candidates are sorted in descending order of score and sent to the device as a list, which is then displayed on the device's user interface, allowing the user to check detailed property information, photos, surrounding area information, and more.

[0467] This system allows users to receive highly accurate property suggestions that take their emotional state into account, resulting in a more satisfying home selection experience. Communication between the server and device uses the HTTP / HTTPS protocol, and data formats include JSON and XML. External libraries such as Microsoft Azure Cognitive Services and Google® Cloud's Face API can be used for emotion recognition.

[0468] Specific examples

[0469] Example 1: If a senior couple is looking for a barrier-free property, the emotion recognition engine will capture the couple's sense of security and suggest properties with particularly comprehensive barrier-free access.

[0470] Example 2: If a family with many children is looking for a property near a park, the system recognizes the relieved expression on the mother's face when she looks at a photo of the park and uses that information to suggest suitable properties.

[0471] Prompt Sentence Examples

[0472] "Please search for properties with rent of under 100,000 yen, that are barrier-free, and that allow pets."

[0473] "Look for a property that is in a good environment for elementary school entrance exams and has good schools in the school district."

[0474] This makes it possible to make proposals that take into account not only the user's needs but also their emotions, helping them choose a home that will give them the highest level of satisfaction.

[0475] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0476] Step 1:

[0477] Users access the system using a device such as a smartphone or PC. They input their family information and requirements through an input method. For example, they input information such as "a property with rent of less than 100,000 yen, barrier-free access, and pet-friendly." The input information is temporarily stored in memory.

[0478] Step 2:

[0479] The terminal validates the entered information. Specifically, it checks whether the rent is entered as a number, whether all required fields are filled in, etc. If validation fails, it displays an error message to the user and requests them to re-enter the information until it is correct. Information that is successfully validated proceeds to the next step.

[0480] Step 3:

[0481] The terminal sends the information that passes validation to the server, where it is converted into JSON or XML format and securely transmitted using the HTTP / HTTPS protocol. The server analyzes the received information and prepares it for the next database lookup step.

[0482] Step 4:

[0483] The server searches a database containing detailed property information based on the received family information and the requested criteria. The server generates a search query, executes it against the database, and retrieves a list of properties that match the criteria.

[0484] Step 5:

[0485] While the user is entering their family information and requirements, the device's built-in camera and microphone collect the user's facial expressions and voice. Using emotion recognition tools, the system analyzes and acquires the user's emotional information from this data. For example, the system measures the user's feelings of joy or relief from their facial expression when they view an image of a specific property.

[0486] Step 6:

[0487] The server scores the acquired property information based on the requirements and emotional information. Scoring is weighted based on factors such as rent, location, and the level of facilities, and is adjusted based on the emotional information. This scoring is used to calculate an overall rating for each property.

[0488] Step 7:

[0489] The server sorts the property candidates based on the scoring results, selects the best property candidates from the sorted list, and generates a list. This list is then converted back to JSON or XML format and sent to the device.

[0490] Step 8:

[0491] The terminal displays the property candidate list received from the server to the user. Detailed property information, photos, and surrounding area information are visually presented through a user interface. The user can review this information and enter feedback as necessary.

[0492] Step 9:

[0493] When the user enters new conditions, the device resends the information to the server. The server then searches the database again based on the new conditions and reselects the most suitable property candidates, taking into account the emotional information. The results of this re-search are also sent to the device and displayed on the user interface.

[0494] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0495] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0496] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0497] [Second embodiment]

[0498] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0499] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0500] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0501] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0502] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0503] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0504] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0505] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0506] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0507] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0508] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0509] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0510] The present invention is a system that proposes the optimal home based on the user's family structure and lifestyle, and specific embodiments thereof are described below. This system involves a series of processes in which the user inputs family information and requirements using a terminal, and the server searches for and selects the optimal property candidates based on that information and proposes them to the user.

[0511] Program processing

[0512] 1. User request input

[0513] User:

[0514] Users access the system using terminals.

[0515] Family information and requirements (for example, "two boys running around energetically," "senior citizen using a wheelchair," "good access to a famous cram school for junior high school entrance exams," "rent up to 100,000 yen," etc.) are entered through the terminal's input interface.

[0516] 2. Saving and validating conditions

[0517] Device:

[0518] Temporarily stores information entered by the user.

[0519] Validate each field in the form (e.g., ensure rent is a number, and required fields are filled in) to ensure the accuracy of the input.

[0520] If there is a validation problem, an error message is displayed to the user, prompting them to correct it.

[0521] 3. Submitting the conditions

[0522] Device:

[0523] Send information that passes validation to the server.

[0524] 4. Database Search

[0525] server:

[0526] The received information is analyzed and searched in a database.

[0527] Filter properties based on family size, requirements, and special requests (e.g., accessibility, lot size, etc.).

[0528] 5. Selection of the best candidate

[0529] server:

[0530] An evaluation score is assigned to properties in the search results, and they are scored according to each condition.

[0531] Sort the properties by highest score and select a few of the best property candidates.

[0532] 6. Sending and displaying results

[0533] server:

[0534] A list of optimal property candidates is generated and sent to the user's device.

[0535] Device:

[0536] Receive the list and display it for the user to review, including detailed information (e.g., address, floor plan, rent, photos, map link, etc.).

[0537] 7. Additional Customization

[0538] User:

[0539] Review the proposed properties and enter any new requirements or further refinement criteria (e.g., "property with garden" or "building less than 5 years old").

[0540] Enter new conditions again through the terminal and request a new search.

[0541] Device:

[0542] Send the new conditions to the server.

[0543] server:

[0544] The database will be searched again based on the new conditions, and the most suitable property candidates will be selected and responded to.

[0545] The above is a specific embodiment of the system according to the present invention, which enables users to efficiently find a home that suits their family structure and lifestyle.

[0546] The processing flow will be explained below.

[0547] Step 1:

[0548] User:

[0549] Users access the system's website or application using a terminal. They enter family information and specific requirements into the input interface. For example, they can enter "two boys running around energetically," "senior citizen using a wheelchair," "good access from a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[0550] Step 2:

[0551] Device:

[0552] The information entered by the user is temporarily stored in memory and validation is performed on each field, such as checking that the rent is entered as a number and that all required fields are filled in. If validation fails, an error message is displayed to the user, prompting them to try again.

[0553] Step 3:

[0554] Device:

[0555] Once validation is complete, the information confirming that all fields have been entered correctly is sent to the server in an appropriate data format such as JSON or XML.

[0556] Step 4:

[0557] server:

[0558] The server analyzes the received information and searches a database based on the user's family information and the requested conditions, for example, by generating a database query and executing the query to retrieve property information that matches the conditions.

[0559] Step 5:

[0560] server:

[0561] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[0562] Step 6:

[0563] server:

[0564] Based on the scoring results, the properties are sorted in descending order of score.Then, the property candidates that best meet the user's requirements are selected.A list of selected properties is generated and sent to the terminal as a response.

[0565] Step 7:

[0566] Device:

[0567] The property list received from the server is displayed on the user interface, including detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area.

[0568] Step 8:

[0569] User:

[0570] Check the provided property list and enter additional conditions if you want to narrow down your search further or add new requirements. For example, you can re-enter conditions such as "property with garden" or "building less than 5 years old."

[0571] Step 9:

[0572] Device:

[0573] The newly entered conditions are validated again, and if there are no problems, they are sent to the server. As before, use an appropriate data format such as JSON or XML.

[0574] Step 10:

[0575] server:

[0576] Based on the new conditions received, the system searches the database again, scores and sorts the best property candidates, and then sends the reselected property list to the terminal.

[0577] Step 11:

[0578] Device:

[0579] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[0580] The above are the specific processing steps of the system according to the present invention, which allows users to easily find the best home that meets their needs.

[0581] Example 1

[0582] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0583] In order to accommodate the diverse family structures and lifestyles of today's society, users need to be able to find the perfect home efficiently and quickly. However, conventional systems face many challenges, such as verifying the accuracy of input information, improving the accuracy of search results, flexibly responding to additional conditions, and secure data transmission. This makes it difficult to meet the diverse needs of users, and it takes a great deal of time and effort to find the ideal home.

[0584] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0585] In this invention, the server includes an input means for a user to input family composition information and requirements via a user terminal, a verification means for validating the input information to confirm its accuracy, a transmission means for transmitting information that has passed the verification to the server, a search means in the server for searching a database based on the received information, a selection means for selecting optimal property candidates from the search results, a transmission / response means for transmitting the selected property candidates as a response to the user, a display means for displaying the information received by the user, a re-search means for receiving additional requirements from the user via the terminal and performing a search again, a scoring means for assigning evaluation scores to optimal property candidates and sorting properties in descending order of score, and the information entered by the user is encrypted using a security protocol and securely transmitted. By implementing this system, users can efficiently and safely find the optimal home that meets their diverse needs.

[0586] The "input means" is a means for a user to input family composition information and required conditions into the system via a terminal.

[0587] "Verification means" refers to a means of validating the entered information to ensure that it is accurate and complete.

[0588] The "transmission means" is a means for transmitting information that has passed verification to the server.

[0589] The "search means" is a means for searching the database based on the information received by the server.

[0590] The "selection means" is a means for selecting the most suitable property candidate from the search results.

[0591] The "transmission response means" is a means for transmitting the selected property candidates to the user as a response.

[0592] The "display means" is a means for displaying the information received by the user.

[0593] The "re-search means" is a means for receiving additional request conditions from the user and conducting a search again.

[0594] The "scoring means" is a means for assigning evaluation scores to optimal property candidates and sorting the properties in descending order of scores.

[0595] A "security protocol" is a technology for encrypting information entered by a user and transmitting it securely.

[0596] MODE FOR CARRYING OUT THE INVENTION

[0597] The present invention is a system that proposes the optimal home based on the user's family structure and lifestyle, and specific embodiments thereof are described below. This system involves a series of processes in which the user inputs family information and requirements using a terminal, and the server searches for and selects the optimal property candidates based on that information and proposes them to the user.

[0598] Hardware and software used

[0599] Hardware:

[0600] Devices: Smartphones, PCs

[0601] Server: Cloud server (e.g. Amazon Web Services, Microsoft Azure)

[0602] software:

[0603] Frontend: HTML, CSS, JavaScript

[0604] Validation: JavaScript

[0605] Backend: Python, Node.js

[0606] Database: MySQL, PostgreSQL

[0607] Program processing overview

[0608] 1. User request input

[0609] Users access the system using a web browser on their smartphone or PC. They enter information about their family composition and lifestyle into an input form in the web application. For example, "Two adults, two children. Junior high school entrance exams are coming up, so we need good access to a famous cram school. We have a senior who uses a wheelchair, so we need a barrier-free property. Rent should be less than 100,000 yen."

[0610] 2. Saving and validating conditions

[0611] The device temporarily stores the entered information. JavaScript is used to validate the entered information. For example, it checks that the rent is a number and that all required fields have been entered. If validation fails, an error message is displayed to the user urging them to make corrections.

[0612] 3. Submitting the conditions

[0613] The device sends the information that has passed verification to the server via an HTTP request, encrypting the data using HTTPS to ensure secure transmission.

[0614] 4. Database Search

[0615] The server analyzes the information sent by the user and searches the database, including family structure, requirements, and special requests (e.g., barrier-free access, lot size, etc.). It generates a specific SQL query and searches the database (MySQL, PostgreSQL, etc.).

[0616] 5. Selection of the best candidate

[0617] The server selects suitable property candidates from the search results, assigns them an evaluation score, sorts the properties in descending order of score, and creates a list of the most suitable properties. For example, the evaluation criteria include rent, accessibility, and floor plan.

[0618] 6. Sending and displaying results

[0619] The server generates a list of suitable property candidates and sends it to the user's device. The device then displays the received information to the user through a web application. The displayed information includes addresses, floor plans, rents, photos, and map links.

[0620] 7. Additional Customization

[0621] The user reviews the proposed properties and inputs new requirements or further refinements. For example, they may input "I want a property with a garden" or "A property less than five years old." The device compiles the new requirements and sends them back to the server. The server then searches again based on the new requirements, selects the most suitable property candidates again, and sends the results back to the user's device.

[0622] Specific examples

[0623] Example prompt sentence:

[0624] "Our family consists of two adults and two children. They are preparing for junior high school entrance exams, so we are looking for a property with good access to a famous cram school and rent of up to 100,000 yen. We are also planning to have a senior who uses a wheelchair living there, so a barrier-free property is a requirement."

[0625] In this way, the system can reflect the user's detailed needs and provide the most suitable home efficiently and safely.

[0626] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0627] Step 1:

[0628] Users access the system's web application using their smartphone or PC. By opening a web browser, an input form is displayed in which they can enter information about their family structure and lifestyle.

[0629] Input: "2 adults, 2 children. Junior high school entrance exams coming up, so good access to a famous cram school. Barrier-free access is required as there is a senior in a wheelchair. Rent is under 100,000 yen."

[0630] Output: The input information is saved in a form field in the web application.

[0631] Step 2:

[0632] The device uses JavaScript to validate the information entered, checking whether the rent is a number, whether required fields have been entered, etc.

[0633] Input: Information entered by the user.

[0634] Output: Validation result. If validation fails, an error message is displayed and the user is prompted to correct the error. An error message such as "Please enter a numeric value for rent" is returned.

[0635] Step 3:

[0636] The terminal sends the information that has passed the verification to the server via an HTTP request (e.g., HTTP POST method), encrypting it using HTTPS to ensure data security.

[0637] Input: User information that passes verification.

[0638] Output: Sends the encrypted data to the server.

[0639] Step 4:

[0640] The server analyzes the received information and understands the user's needs. It searches for property information using a database (e.g., MySQL, PostgreSQL). It filters properties based on family structure, requirements, and special requests (e.g., barrier-free access, lot size, etc.).

[0641] Input: User's family information and requirements.

[0642] Output: A list of properties that match the criteria. Execute the SQL query and get the search results.

[0643] Step 5:

[0644] The server selects suitable property candidates from the search results, assigns them evaluation scores, and calculates scores according to each condition (e.g., rent, accessibility, floor plan, etc.). It sorts the properties with the highest scores and creates a list of the most suitable properties.

[0645] Input: Search results property list.

[0646] Output: A scored and sorted list of properties.

[0647] Step 6:

[0648] The server generates a list of suitable property candidates and sends it to the user's device. The list includes detailed property information (e.g., address, floor plan, rent, photos, map links, etc.).

[0649] Input: A sorted list of properties.

[0650] Output: Sends the property list with detailed information to the user's device.

[0651] Step 7:

[0652] The terminal displays the received property list on the user interface of the web application, and the user checks the displayed property information.

[0653] Input: Property list sent from the server.

[0654] Output: Property information displayed on the web application screen (e.g. address, floor plan, rent, photos, map link, etc.).

[0655] Step 8:

[0656] The user reviews the proposed properties and then inputs further refinements or new requirements. The device then compiles the new criteria and sends them back to the server. This process is repeated until the optimal property is found that meets the user's detailed needs.

[0657] Input: The user's new requirements (e.g., "I want a property with a garden," "The building must be less than five years old," etc.).

[0658] Output: New criteria sent to the server, search performed again, and results returned to the user.

[0659] The above is the specific processing flow of this system with specific functions.

[0660] (Application example 1)

[0661] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0662] Conventional real estate property search systems have difficulty in quickly and appropriately suggesting properties that suit a user's family structure and lifestyle. Furthermore, the time required to input detailed requirements is time-consuming, resulting in a poor user experience. Furthermore, the lack of search methods that utilize interfaces such as voice recognition or touch input makes it difficult to efficiently search for properties.

[0663] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0664] In this invention, the server includes input means for inputting family information and requirements, verification means for validating the input information, transmission means for transmitting information that has passed validation to the server, cloud search means for searching a real estate property database based on the received information using a cloud server, selection means for selecting optimal property candidates from the search results, transmission / response means for transmitting the selected property candidates as a response to the user, display means for displaying the information received by the user, and interface means for inputting requirements using voice recognition or touch input. This allows the user's detailed requirements to be efficiently input and searched for, making it possible to quickly suggest optimal properties that suit their family structure and lifestyle.

[0665] "Family information" refers to information about the user's family, such as family structure, number of people, and ages.

[0666] "Requirements" refers to the property conditions and special needs that users desire (e.g. rent, location, facilities, etc.).

[0667] "Input means" refers to an interface that allows a user to input family information and requirements into the system.

[0668] "Verification means" refers to the function of checking whether the entered information is accurate and performing validation.

[0669] "Transmission means" refers to a function for transmitting information that has passed verification to a server.

[0670] "Cloud search means" refers to a function that searches a real estate property database based on information received using a cloud server.

[0671] "Selection method" refers to the function of selecting the most suitable property candidate from the search results.

[0672] The "transmission response means" refers to a function for transmitting the selected property candidates to the user as a response.

[0673] "Display means" refers to a function that displays the received information and property candidates so that the user can check them.

[0674] "Interface means" refers to a function for inputting requirements using voice recognition or touch input.

[0675] "Scoring method" refers to the function of assigning evaluation scores to the most suitable property candidates and sorting the properties in order of highest score.

[0676] The "re-search means" refers to a function that allows the user to input new additional conditions, conduct a search again based on those conditions, and reselect the most suitable property candidate.

[0677] This invention is a system that provides optimal housing according to the user's family structure and lifestyle. This system involves a series of processes in which the user inputs family information and requirements via their own terminal, and the server searches for and selects optimal property candidates based on that information and proposes them to the user.

[0678] Hardware and Software

[0679] Terminal: A device used by a user, including a smartphone, smart glasses, or a head-mounted display.

[0680] Server: Uses cloud servers, which are hardware used to perform database searches, information analysis, and filtering.

[0681] Software: An application server written in Python, using the Flask framework, the Requests library (for API requests), and a database (MySQL or NoSQL).

[0682] System Details

[0683] 1. User request input

[0684] Users access the system using a smartphone, smart glasses, or a head-mounted display.

[0685] Provides an interface for entering family information and requirements using voice recognition or touch input.

[0686] Example: A user speaks, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties."

[0687] 2. Saving and validating conditions

[0688] The terminal temporarily stores the information entered by the user and performs validation on each field of the form.

[0689] If there is a validation problem, an error message is displayed to the user, prompting them to correct it.

[0690] 3. Submitting the conditions

[0691] Send information that passes validation to the server.

[0692] 4. Database Search

[0693] The server analyzes the received information and searches a real estate property database.

[0694] Utilize cloud servers to efficiently filter the database.

[0695] 5. Selection of the best candidate

[0696] The server assigns evaluation scores to properties in the search results and scores them according to each condition.

[0697] Properties are sorted by highest score to select the best property candidate.

[0698] 6. Sending and displaying results

[0699] The server generates a list of optimal property candidates and sends it to the user's terminal.

[0700] Displays the list the user has received, including detailed information (address, floor plan, rent, photos, map link, etc.).

[0701] 7. Additional Customization

[0702] Users can review the proposed properties and enter new requirements or further refine their search criteria.

[0703] For example, the user can enter additional conditions such as "the house must have a garden" or "the building must be less than five years old" and request a new search based on those conditions.

[0704] Leveraging generative AI models

[0705] This system uses a generative AI model to enable flexible searches based on prompts entered by users. For example, in response to a prompt such as, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties," the generative AI model will search for and select the most suitable property.

[0706] In this way, users can efficiently input and search for detailed requirements, making it possible to quickly suggest the most suitable property based on their family composition and lifestyle.

[0707] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0708] Step 1:

[0709] Users access the system via a smartphone, smart glasses, or head-mounted display. They input their family information and requirements using voice recognition or touch input. Specifically, the user might say, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties."

[0710] Step 2:

[0711] The entered family information and requirements are temporarily saved on the terminal. The terminal validates the input, for example, ensuring that the rent is in numeric format and that all required fields have been entered. If there is a validation error, an appropriate error message is displayed to the user, prompting them to correct it.

[0712] Step 3:

[0713] Information that passes validation is sent from the terminal to the server. The input information is sent to the cloud server via this transmission means.

[0714] Step 4:

[0715] The server analyzes the received information and searches a real estate property database. Specifically, it uses a generative AI model to interpret the user's prompt and filter the database for relevant properties. For example, it applies filters such as "rent under 100,000 yen" and "barrier-free accessibility."

[0716] Step 5:

[0717] The server assigns an evaluation score to the filtered properties, scores each property based on how well it matches the criteria, sorts the properties by highest score, and selects the most suitable property candidate.

[0718] Step 6:

[0719] The server then sends a list of the best property candidates to the user's device, including detailed information such as the property's address, floor plan, rent, photos, and a map link.

[0720] Step 7:

[0721] The user reviews the proposed properties and enters more detailed criteria if necessary, such as "the house must have a garden" or "the building must be less than five years old." This information is then sent back to the server via the device, and a new search is performed.

[0722] Step 8:

[0723] The server searches the database again based on the received additional conditions and selects new optimal property candidates. The selected candidates are again sent to the user's terminal and displayed to the user.

[0724] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0725] This invention combines a system that proposes the most suitable home based on the user's family structure and lifestyle with an emotion engine that recognizes the user's emotions. This system consists of a series of processes in which the user inputs family information and requirements using a terminal, the server selects the most suitable property candidates based on that, and then makes proposals taking into account the user's emotion information.

[0726] Program processing

[0727] 1. User request input

[0728] User:

[0729] A user uses a terminal to access a website or application of the system.

[0730] Enter your family information and specific requirements. For example, enter "two boys running around energetically," "senior citizen with wheelchair access," "good access to a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[0731] 2. Saving and validating conditions

[0732] Device:

[0733] The information entered by the user is temporarily stored in memory and each field is validated to ensure accuracy, such as checking that the rent is entered as a number and that all required fields are filled in.

[0734] If validation fails, an error message is displayed to the user and they are asked to re-enter the information.

[0735] 3. Submitting the conditions

[0736] Device:

[0737] The information that passes validation is sent to the server in an appropriate data format such as JSON or XML.

[0738] 4. Database Search

[0739] server:

[0740] The received information is analyzed and a database is searched based on the user's family information and requirements, for example, a database query is generated and executed to retrieve property information that matches the requirements.

[0741] 5. Selection of the best candidate

[0742] server:

[0743] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[0744] 6. Generate and send results

[0745] server:

[0746] Based on the scoring results, the properties are sorted in descending order of score, and the most suitable property candidates are selected. A list of selected properties is generated and sent to the terminal as a response.

[0747] 7. Displaying the results

[0748] Device:

[0749] The property list received from the server is displayed on the user interface, including detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area.

[0750] 8. Acquiring and considering emotional information

[0751] Device:

[0752] Based on the user's input and operations, the emotion engine analyzes the user's emotions and acquires information about them, such as the user's facial expressions and tone of voice.

[0753] server:

[0754] The emotional information acquired by the emotion engine is reflected and used to score and select property candidates, adjusting the optimal proposals according to the user's emotional state.

[0755] 9. Additional Customization

[0756] User:

[0757] Review the proposed properties and enter additional conditions if necessary. For example, re-enter detailed conditions such as "property with garden" or "building less than 5 years old."

[0758] Device:

[0759] Send the new conditions to the server.

[0760] server:

[0761] The system searches the database again based on the new conditions, selects the most suitable property candidates taking into account emotional information, generates a list, and sends it to the terminal.

[0762] Device:

[0763] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[0764] The above is a specific embodiment of the system of the present invention. The system incorporating this emotion engine enables users to select a home with higher accuracy and that provides emotional satisfaction.

[0765] The processing flow will be explained below.

[0766] Step 1:

[0767] User:

[0768] Users access the system's website or application using a terminal. They enter their family information and specific requirements. Examples include "two boys running around energetically," "senior citizen using a wheelchair," "good access from a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[0769] Step 2:

[0770] Device:

[0771] The information entered by the user is temporarily stored in memory and validation is performed for each field. For example, it checks that the rent is a numeric value and that all required fields (family composition, required conditions, etc.) have been entered. If validation fails, an error message is displayed to the user and they are prompted to re-enter the information.

[0772] Step 3:

[0773] Device:

[0774] The information that passes validation is sent to the server in an appropriate data format such as JSON or XML.

[0775] Step 4:

[0776] server:

[0777] The server analyzes the received information and searches the database based on the user's family information and requirements, for example, by generating an SQL query to retrieve property information that matches the requirements.

[0778] Step 5:

[0779] server:

[0780] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[0781] Step 6:

[0782] server:

[0783] Based on the scoring results, the properties are sorted in descending order of score.The system then selects the property candidates that best meet the user's requirements, generates a list of the selected properties, and sends it to the terminal.

[0784] Step 7:

[0785] Device:

[0786] The property list received from the server is displayed on the user interface, including detailed information such as the property address, floor plan, rent, photos, and a link to a map of the surrounding area.

[0787] Step 8:

[0788] Device:

[0789] The emotion engine analyzes the user's emotions based on their input and operations. For example, it can analyze the user's facial expressions using a webcam, or infer emotions from the user's typing speed and mouse movements.

[0790] Step 9:

[0791] server:

[0792] The emotion engine adjusts the scoring and selection of property candidates based on the user's emotional information. For example, if the user shows signs of dissatisfaction, the evaluation is changed to give more weight to that condition.

[0793] Step 10:

[0794] server:

[0795] Based on the rescoring results that take into account emotional information, the property candidate list is updated and sent to the user's device.

[0796] Step 11:

[0797] Device:

[0798] The updated property listing is redisplayed in the user interface, allowing the user to reassess based on the new information.

[0799] Step 12:

[0800] User:

[0801] After reviewing the proposed properties, if you want to narrow down your search with more detailed conditions or add new requirements, you can enter additional conditions. For example, you can enter "property with garden" or "building less than 5 years old."

[0802] Step 13:

[0803] Device:

[0804] The newly entered conditions are validated again, and if there are no problems, they are sent to the server.

[0805] Step 14:

[0806] server:

[0807] The search is carried out again based on the new conditions, and the most suitable property candidates are reselected taking into account emotional information. The results are then sent to the device.

[0808] Step 15:

[0809] Device:

[0810] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[0811] The above is a specific embodiment of the system of the present invention. The system incorporating this emotion engine enables users to select a home with higher accuracy and that provides emotional satisfaction.

[0812] Example 2

[0813] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0814] Conventional property selection systems suggest optimal housing based on the user's family structure and lifestyle, but because they are unable to consider the user's emotional information, they are unable to sufficiently increase user satisfaction. In addition, they often cannot quickly respond to users' needs for additional conditions or repeated searches, making it difficult to provide flexible services.

[0815] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0816] In this invention, the server includes input means for inputting family information and requirements from the user, verification means for validating the input information, transmission means for transmitting information that has passed verification to the server, search means for searching a database based on the received information, selection means for selecting optimal property candidates from the search results, transmission / response means for transmitting the selected property candidates as a response to the user, display means for displaying the information received by the user, and emotion engine means for acquiring emotional information from the user and adjusting the property candidates based on that information. This enables property selection that takes the user's emotional information into consideration, enabling proposals for homes with even higher satisfaction and flexible responses.

[0817] The "input means" is a means for receiving family information and requirements from the user.

[0818] "Verification means" refers to means for verifying the accuracy and completeness of input information.

[0819] The "transmission means" is a means for transmitting information that has passed verification to the server.

[0820] "Search means" refers to means for searching the database based on the information received at the server.

[0821] The "selection means" is a means for selecting the most suitable property candidate from the search results.

[0822] The "transmission response means" is a means for transmitting the selected property candidates to the user as a response.

[0823] The "display means" is a means for displaying the information received by the user.

[0824] The "emotion engine means" is a means for acquiring the user's emotion information and adjusting the property candidates based on that information.

[0825] The "scoring means" is a means for assigning evaluation scores to the most suitable property candidates and sorting them in descending order of scores.

[0826] The "re-search means" is a means for the user to input new additional conditions, conduct a search again based on the new conditions, and select the most suitable property candidate again.

[0827] This invention combines a system that proposes the most suitable home based on the user's family structure and lifestyle with an emotion engine that recognizes the user's emotions. This system consists of a series of processes in which the user inputs family information and requirements using a terminal, the server selects the most suitable property candidates based on that, and then makes proposals taking into account the user's emotion information.

[0828] Input and validation methods

[0829] The user uses a terminal to access the system's website or application. There, they enter family information and specific requirements. For example, they might enter information such as "two boys running around energetically," "senior citizen using a wheelchair," "good access from a well-known cram school for junior high school entrance exams," and "rent up to 100,000 yen." The terminal temporarily stores the entered information in memory and performs validation. It checks whether the input is accurate and whether all required fields have been filled in. If there are any errors, an error message is displayed to the user, and they are asked to re-enter the information.

[0830] Transmission and retrieval means

[0831] If the entered information is correct and passes validation, the device sends it to the server in an appropriate format, such as JSON or XML. The server then analyzes the information and searches a database. For example, a query like the following can be used:

[0832] sql

[0833] SELECT FROM properties WHERE rent <= 100000 AND wheelchair_accessible = TRUE AND location IN (SELECT location FROM schools WHERE name = 'famous cram school')

[0834] Selection means and transmission response means

[0835] The server selects the most suitable property candidates from the search results. This selection is based on the results of a scoring process that takes into account factors such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building. The server generates a list of the most suitable property candidates and sends it to the terminal as a response.

[0836] Display means and emotion engine means

[0837] The device displays the property list received from the server on the user interface. This list includes detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area. The emotion engine also analyzes the user's facial expressions and tone of voice to obtain emotional information. The user's reactions are captured using a webcam and microphone and sent to the server. The server then re-scores the property candidates based on the emotional information and adjusts them according to the user's emotions.

[0838] Examples and prompts

[0839] As a concrete example, consider the case where a user enters the following: "We are a family of three living in Tokyo with two pets (dogs). We would prefer a location close to a park for our children and a 10-minute walk from the station. We are looking for a new property with rent of less than 150,000 yen."

[0840] An example of a prompt is as follows:

[0841] "We are a family of three living in Tokyo with two pets (dogs). We would like to find a property that is close to a park where the children can play and is within a 10-minute walk of the station. We would like the property to be as new as possible with rent of less than 150,000 yen."

[0842] This allows the system to propose optimal housing based on the user's needs as well as emotional information, thereby increasing user satisfaction.

[0843] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0844] Step 1:

[0845] Users use their devices to access the system's website or application, enter their family information and specific requirements.

[0846] Input: Family information, specific requirements

[0847] Output: Temporarily save the input information

[0848] Specific operation: When a user enters information into an input form and presses the "Submit" button, the information is temporarily stored in memory.

[0849] Step 2:

[0850] The terminal validates the information entered, checking that the rent is a number, that all required fields are filled in, etc.

[0851] Input: Information entered

[0852] Output: Validation result (success / failure)

[0853] Specific operation: The terminal checks the data in each field, and if there is an error message, it displays it to the user and prompts them to re-enter the data.

[0854] Step 3:

[0855] The device sends the verified information to the server in an appropriate format, such as JSON or XML.

[0856] Input: Information that passes validation

[0857] Output: Data sent to the server

[0858] Specific operation: The terminal executes the sending procedure and sends the information to the server as an HTTP request.

[0859] Step 4:

[0860] The server analyzes the information it receives and searches a database, for example by generating an SQL query and executing it against the database.

[0861] Input: Information sent from the device

[0862] Output: Database search results

[0863] What happens: The server analyzes the information and executes a query to retrieve properties that match the criteria.

[0864] Step 5:

[0865] The server selects the most suitable property candidates from the search results, taking into consideration factors such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[0866] Input: Database search results

[0867] Output: Scored property candidates

[0868] Specific operation: The server runs a scoring algorithm and assigns a rating score to each candidate property.

[0869] Step 6:

[0870] The server generates a list of optimal property candidates and sends it to the terminal.

[0871] Input: Scored property candidates

[0872] Output: Response data to the terminal

[0873] Specific operation: The server constructs a property list as a response and sends it to the terminal as an HTTP response.

[0874] Step 7:

[0875] The terminal displays the property list received from the server on the user interface, including the property address, floor plan, rent, photos, and a link to a map of the surrounding area.

[0876] Input: Response data from the server

[0877] Output: A list of properties displayed in the user interface

[0878] Specific behavior: The device parses the received information and displays it in the user interface in an appropriate format.

[0879] Step 8:

[0880] The device uses an emotion engine to acquire the user's emotional information, analyzing the user's facial expressions and tone of voice to detect their emotional state.

[0881] Input: User's facial expression, tone of voice

[0882] Output: Emotional information

[0883] Specific operation: The device analyzes audio and video data captured using a webcam or microphone and generates emotional information.

[0884] Step 9:

[0885] The server receives the emotional information and re-scores and adjusts the property candidates based on that information.

[0886] Input: Emotion information

[0887] Output: Refined property candidate list

[0888] Specific operation: The server analyzes the emotion data and performs readjustments to reflect the original scoring.

[0889] Step 10:

[0890] The user can review the proposed properties and, if necessary, enter additional conditions, such as "with garden" or "built within the last five years."

[0891] Input: User additional conditions

[0892] Output: Updated conditions

[0893] Specific operation: The user enters additional conditions on the interface and presses the "Submit" button again.

[0894] Step 11:

[0895] The terminal sends the new conditions to the server.

[0896] Input: Updated conditions

[0897] Output: Send updated data to the server

[0898] Specific operation: The terminal executes the sending procedure again and sends the updated conditions to the server as an HTTP request.

[0899] Step 12:

[0900] The server re-searches the database based on the new conditions and selects the most suitable property candidates, taking into account emotional information.

[0901] Input: Updated conditions, existing emotion information

[0902] Output: Reselected property candidate list

[0903] Specific operation: The server executes the search procedure again and selects suitable properties while utilizing emotional information.

[0904] Step 13:

[0905] The terminal displays the retransmitted property list on the user interface, and the user can further confirm and select.

[0906] Input: Reselected property candidate list

[0907] Output: The updated list as displayed in the user interface

[0908] Specific operation: The device parses the received information again and displays the updated property list.

[0909] (Application example 2)

[0910] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0911] Conventional real estate recommendation systems could recommend properties based on a user's family structure and lifestyle, but they were unable to take the user's emotional state into account. This made it difficult to increase the user's psychological satisfaction, and the accuracy of optimal property selection was insufficient. Furthermore, it was difficult to quickly and appropriately re-recommend properties when the user's desired conditions changed. This resulted in a complex and time-consuming process for users to find their ideal home.

[0912] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for the user to input family information and requirements, a verification means for validating the input information, a transmission means for transmitting information that has passed the verification to the server, a search means in the server for searching a database based on the received information, a selection means for selecting optimal property candidates from the search results, a transmission / response means for transmitting the selected property candidates as a response to the user, a display means for displaying the information received by the user, an emotion recognition means for acquiring emotional information about the user, and a score adjustment means for adjusting the score of the property based on the emotional information. This enables highly accurate property suggestions that take the user's emotional state into consideration, thereby enabling a more satisfying home selection experience.

[0913] "Family Information" is detailed information about the user's family, such as family composition, ages, activities, and special needs.

[0914] "Requirements" are specific conditions and wishes that a user has when selecting a property, including rent, location, layout, facilities, etc.

[0915] "Input means" refers to an interface that allows users to input family information and requirements into the system, and refers to a smartphone application or website.

[0916] "Verification means" is a function for checking the accuracy and completeness of information entered by the user, and performs validation checks.

[0917] The "transmission means" is a function for sending the input information to the server, and uses JSON or XML as the data format.

[0918] The "search means" is a function that allows the server to search the database based on the information received from the user and find the relevant property.

[0919] The "selection means" is a function for selecting the property that best meets the user's requirements from the property information obtained by the search means.

[0920] The "transmission and response means" is a function for transmitting the selected property candidates to the user.

[0921] "Display means" refers to a function for visually displaying the property information received by the user, and refers to the display of a smartphone or PC.

[0922] The "emotion recognition means" is a function for analyzing the user's emotions from facial expressions, tone of voice, etc., and acquiring that information.

[0923] The "score adjustment means" is a function for adjusting the property evaluation score based on the emotional information acquired by the emotion recognition means, and for making optimal property suggestions according to the user's emotional state.

[0924] This invention is a system that proposes the most suitable home based on the user's family structure and lifestyle, and is combined with an emotion engine that recognizes the user's emotions. This system is implemented according to the following steps.

[0925] 1. User Input

[0926] Users access the system using devices such as smartphones or PCs and enter family information and desired conditions. For example, they enter conditions such as rent, location, floor plan, and surrounding facilities. The user interface uses text boxes, drop-down menus, check boxes, and so on. A specific example is the following request: "Please find properties with rent of less than 100,000 yen, that are barrier-free, and allow pets."

[0927] 2. Verification of Information

[0928] The terminal temporarily stores the information entered by the user in memory and checks the accuracy of the input. For example, it performs validation such as whether the rent is entered as a number and whether all required fields are filled in. If there are any errors, it displays an error message to the user and urges them to re-enter the information.

[0929] 3. Transmission of Information

[0930] Once the information passes validation, it is sent to the server in a format such as JSON or XML, which receives it and prepares a search query to be executed against the database.

[0931] 4. Database Search

[0932] The server searches a database based on the received information. The database stores detailed information about each property, and retrieves properties that match the search query.

[0933] 5. Acquiring Emotional Information

[0934] While the user is entering property information, the device's built-in camera and microphone are used to record and analyze the user's facial expressions and voice, and emotional information is obtained. For example, the user's level of satisfaction can be measured from their facial expression when they view a specific property image.

[0935] 6. Selection and scoring of optimal candidates

[0936] The server scores the acquired property information based on the user's requirements and emotional information. Based on the emotional information, the server adjusts the property score and selects the most suitable property. Scoring is based on multiple factors, including rent, location, and the level of facilities.

[0937] 7. Sending and Displaying Results

[0938] The selected property candidates are sorted in descending order of score and sent to the device as a list, which is then displayed on the device's user interface, allowing the user to check detailed property information, photos, surrounding area information, and more.

[0939] This system allows users to receive highly accurate property suggestions that take their emotional state into account, resulting in a more satisfying home selection experience. Communication between the server and device uses the HTTP / HTTPS protocol, and data formats include JSON and XML. External libraries such as Microsoft Azure Cognitive Services and Google Cloud's Face API can be used for emotion recognition.

[0940] Specific examples

[0941] Example 1: If a senior couple is looking for a barrier-free property, the emotion recognition engine will capture the couple's sense of security and suggest properties with particularly comprehensive barrier-free access.

[0942] Example 2: If a family with many children is looking for a property near a park, the system recognizes the relieved expression on the mother's face when she looks at a photo of the park and uses that information to suggest suitable properties.

[0943] Prompt Sentence Examples

[0944] "Please search for properties with rent of under 100,000 yen, that are barrier-free, and that allow pets."

[0945] "Look for a property that is in a good environment for elementary school entrance exams and has good schools in the school district."

[0946] This makes it possible to make proposals that take into account not only the user's needs but also their emotions, helping them choose a home that will give them the highest level of satisfaction.

[0947] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0948] Step 1:

[0949] Users access the system using a device such as a smartphone or PC. They input their family information and requirements through an input method. For example, they input information such as "a property with rent of less than 100,000 yen, barrier-free access, and pet-friendly." The input information is temporarily stored in memory.

[0950] Step 2:

[0951] The terminal validates the entered information. Specifically, it checks whether the rent is entered as a number, whether all required fields are filled in, etc. If validation fails, it displays an error message to the user and requests them to re-enter the information until it is correct. Information that is successfully validated proceeds to the next step.

[0952] Step 3:

[0953] The terminal sends the information that passes validation to the server, where it is converted into JSON or XML format and securely transmitted using the HTTP / HTTPS protocol. The server analyzes the received information and prepares it for the next database lookup step.

[0954] Step 4:

[0955] The server searches a database containing detailed property information based on the received family information and the requested criteria. The server generates a search query, executes it against the database, and retrieves a list of properties that match the criteria.

[0956] Step 5:

[0957] While the user is entering their family information and requirements, the device's built-in camera and microphone collect the user's facial expressions and voice. Using emotion recognition tools, the system analyzes and acquires the user's emotional information from this data. For example, the system measures the user's feelings of joy or relief from their facial expression when they view an image of a specific property.

[0958] Step 6:

[0959] The server scores the acquired property information based on the requirements and emotional information. Scoring is weighted based on factors such as rent, location, and the level of facilities, and is adjusted based on the emotional information. This scoring is used to calculate an overall rating for each property.

[0960] Step 7:

[0961] The server sorts the property candidates based on the scoring results, selects the best property candidates from the sorted list, and generates a list. This list is then converted back to JSON or XML format and sent to the device.

[0962] Step 8:

[0963] The terminal displays the property candidate list received from the server to the user. Detailed property information, photos, and surrounding area information are visually presented through a user interface. The user can review this information and enter feedback as necessary.

[0964] Step 9:

[0965] When the user enters new conditions, the device resends the information to the server. The server then searches the database again based on the new conditions and reselects the most suitable property candidates, taking into account the emotional information. The results of this re-search are also sent to the device and displayed on the user interface.

[0966] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0967] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0968] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0969] [Third embodiment]

[0970] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0971] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0972] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0973] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0974] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0975] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0976] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0977] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0978] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0979] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0980] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0981] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0982] The present invention is a system that proposes the optimal home based on the user's family structure and lifestyle, and specific embodiments thereof are described below. This system involves a series of processes in which the user inputs family information and requirements using a terminal, and the server searches for and selects the optimal property candidates based on that information and proposes them to the user.

[0983] Program processing

[0984] 1. User request input

[0985] User:

[0986] Users access the system using terminals.

[0987] Family information and requirements (for example, "two boys running around energetically," "senior citizen using a wheelchair," "good access to a famous cram school for junior high school entrance exams," "rent up to 100,000 yen," etc.) are entered through the terminal's input interface.

[0988] 2. Saving and validating conditions

[0989] Device:

[0990] Temporarily stores information entered by the user.

[0991] Validate each field in the form (e.g., ensure rent is a number, and required fields are filled in) to ensure the accuracy of the input.

[0992] If there is a validation problem, an error message is displayed to the user, prompting them to correct it.

[0993] 3. Submitting the conditions

[0994] Device:

[0995] Send information that passes validation to the server.

[0996] 4. Database Search

[0997] server:

[0998] The received information is analyzed and searched in a database.

[0999] Filter properties based on family size, requirements, and special requests (e.g., accessibility, lot size, etc.).

[1000] 5. Selection of the best candidate

[1001] server:

[1002] An evaluation score is assigned to properties in the search results, and they are scored according to each condition.

[1003] Sort the properties by highest score and select a few of the best property candidates.

[1004] 6. Sending and displaying results

[1005] server:

[1006] A list of optimal property candidates is generated and sent to the user's device.

[1007] Device:

[1008] Receive the list and display it for the user to review, including detailed information (e.g., address, floor plan, rent, photos, map link, etc.).

[1009] 7. Additional Customization

[1010] User:

[1011] Review the proposed properties and enter any new requirements or further refinement criteria (e.g., "property with garden" or "building less than 5 years old").

[1012] Enter new conditions again through the terminal and request a new search.

[1013] Device:

[1014] Send the new conditions to the server.

[1015] server:

[1016] The database will be searched again based on the new conditions, and the most suitable property candidates will be selected and responded to.

[1017] The above is a specific embodiment of the system according to the present invention, which enables users to efficiently find a home that suits their family structure and lifestyle.

[1018] The processing flow will be explained below.

[1019] Step 1:

[1020] User:

[1021] Users access the system's website or application using a terminal. They enter family information and specific requirements into the input interface. For example, they can enter "two boys running around energetically," "senior citizen using a wheelchair," "good access from a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[1022] Step 2:

[1023] Device:

[1024] The information entered by the user is temporarily stored in memory and validation is performed on each field, such as checking that the rent is entered as a number and that all required fields are filled in. If validation fails, an error message is displayed to the user, prompting them to try again.

[1025] Step 3:

[1026] Device:

[1027] Once validation is complete, the information confirming that all fields have been entered correctly is sent to the server in an appropriate data format such as JSON or XML.

[1028] Step 4:

[1029] server:

[1030] The server analyzes the received information and searches a database based on the user's family information and the requested conditions, for example, by generating a database query and executing the query to retrieve property information that matches the conditions.

[1031] Step 5:

[1032] server:

[1033] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[1034] Step 6:

[1035] server:

[1036] Based on the scoring results, the properties are sorted in descending order of score.Then, the property candidates that best meet the user's requirements are selected.A list of selected properties is generated and sent to the terminal as a response.

[1037] Step 7:

[1038] Device:

[1039] The property list received from the server is displayed on the user interface, including detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area.

[1040] Step 8:

[1041] User:

[1042] Check the provided property list and enter additional conditions if you want to narrow down your search further or add new requirements. For example, you can re-enter conditions such as "property with garden" or "building less than 5 years old."

[1043] Step 9:

[1044] Device:

[1045] The newly entered conditions are validated again, and if there are no problems, they are sent to the server. As before, use an appropriate data format such as JSON or XML.

[1046] Step 10:

[1047] server:

[1048] Based on the new conditions received, the system searches the database again, scores and sorts the best property candidates, and then sends the reselected property list to the terminal.

[1049] Step 11:

[1050] Device:

[1051] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[1052] The above are the specific processing steps of the system according to the present invention, which allows users to easily find the best home that meets their needs.

[1053] Example 1

[1054] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1055] In order to accommodate the diverse family structures and lifestyles of today's society, users need to be able to find the perfect home efficiently and quickly. However, conventional systems face many challenges, such as verifying the accuracy of input information, improving the accuracy of search results, flexibly responding to additional conditions, and secure data transmission. This makes it difficult to meet the diverse needs of users, and it takes a great deal of time and effort to find the ideal home.

[1056] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1057] In this invention, the server includes an input means for a user to input family composition information and requirements via a user terminal, a verification means for validating the input information to confirm its accuracy, a transmission means for transmitting information that has passed the verification to the server, a search means in the server for searching a database based on the received information, a selection means for selecting optimal property candidates from the search results, a transmission / response means for transmitting the selected property candidates as a response to the user, a display means for displaying the information received by the user, a re-search means for receiving additional requirements from the user via the terminal and performing a search again, a scoring means for assigning evaluation scores to optimal property candidates and sorting properties in descending order of score, and the information entered by the user is encrypted using a security protocol and securely transmitted. By implementing this system, users can efficiently and safely find the optimal home that meets their diverse needs.

[1058] The "input means" is a means for a user to input family composition information and required conditions into the system via a terminal.

[1059] "Verification means" refers to a means of validating the entered information to ensure that it is accurate and complete.

[1060] The "transmission means" is a means for transmitting information that has passed verification to the server.

[1061] The "search means" is a means for searching the database based on the information received by the server.

[1062] The "selection means" is a means for selecting the most suitable property candidate from the search results.

[1063] The "transmission response means" is a means for transmitting the selected property candidates to the user as a response.

[1064] The "display means" is a means for displaying the information received by the user.

[1065] The "re-search means" is a means for receiving additional request conditions from the user and conducting a search again.

[1066] The "scoring means" is a means for assigning evaluation scores to optimal property candidates and sorting the properties in descending order of scores.

[1067] A "security protocol" is a technology for encrypting information entered by a user and transmitting it securely.

[1068] MODE FOR CARRYING OUT THE INVENTION

[1069] The present invention is a system that proposes the optimal home based on the user's family structure and lifestyle, and specific embodiments thereof are described below. This system involves a series of processes in which the user inputs family information and requirements using a terminal, and the server searches for and selects the optimal property candidates based on that information and proposes them to the user.

[1070] Hardware and software used

[1071] Hardware:

[1072] Devices: Smartphones, PCs

[1073] Server: Cloud server (e.g. Amazon Web Services, Microsoft Azure)

[1074] software:

[1075] Frontend: HTML, CSS, JavaScript

[1076] Validation: JavaScript

[1077] Backend: Python, Node.js

[1078] Database: MySQL, PostgreSQL

[1079] Program processing overview

[1080] 1. User request input

[1081] Users access the system using a web browser on their smartphone or PC. They enter information about their family composition and lifestyle into an input form in the web application. For example, "Two adults, two children. Junior high school entrance exams are coming up, so we need good access to a famous cram school. We have a senior who uses a wheelchair, so we need a barrier-free property. Rent should be less than 100,000 yen."

[1082] 2. Saving and validating conditions

[1083] The device temporarily stores the entered information. JavaScript is used to validate the entered information. For example, it checks that the rent is a number and that all required fields have been entered. If validation fails, an error message is displayed to the user urging them to make corrections.

[1084] 3. Submitting the conditions

[1085] The device sends the information that has passed verification to the server via an HTTP request, encrypting the data using HTTPS to ensure secure transmission.

[1086] 4. Database Search

[1087] The server analyzes the information sent by the user and searches the database, including family structure, requirements, and special requests (e.g., barrier-free access, lot size, etc.). It generates a specific SQL query and searches the database (MySQL, PostgreSQL, etc.).

[1088] 5. Selection of the best candidate

[1089] The server selects suitable property candidates from the search results, assigns them an evaluation score, sorts the properties in descending order of score, and creates a list of the most suitable properties. For example, the evaluation criteria include rent, accessibility, and floor plan.

[1090] 6. Sending and displaying results

[1091] The server generates a list of suitable property candidates and sends it to the user's device. The device then displays the received information to the user through a web application. The displayed information includes addresses, floor plans, rents, photos, and map links.

[1092] 7. Additional Customization

[1093] The user reviews the proposed properties and inputs new requirements or further refinements. For example, they may input "I want a property with a garden" or "A property less than five years old." The device compiles the new requirements and sends them back to the server. The server then searches again based on the new requirements, selects the most suitable property candidates again, and sends the results back to the user's device.

[1094] Specific examples

[1095] Example prompt sentence:

[1096] "Our family consists of two adults and two children. They are preparing for junior high school entrance exams, so we are looking for a property with good access to a famous cram school and rent of up to 100,000 yen. We are also planning to have a senior who uses a wheelchair living there, so a barrier-free property is a requirement."

[1097] In this way, the system can reflect the user's detailed needs and provide the most suitable home efficiently and safely.

[1098] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1099] Step 1:

[1100] Users access the system's web application using their smartphone or PC. By opening a web browser, an input form is displayed in which they can enter information about their family structure and lifestyle.

[1101] Input: "2 adults, 2 children. Junior high school entrance exams coming up, so good access to a famous cram school. Barrier-free access is required as there is a senior in a wheelchair. Rent is under 100,000 yen."

[1102] Output: The input information is saved in a form field in the web application.

[1103] Step 2:

[1104] The device uses JavaScript to validate the information entered, checking whether the rent is a number, whether required fields have been entered, etc.

[1105] Input: Information entered by the user.

[1106] Output: Validation result. If validation fails, an error message is displayed and the user is prompted to correct the error. An error message such as "Please enter a numeric value for rent" is returned.

[1107] Step 3:

[1108] The terminal sends the information that has passed the verification to the server via an HTTP request (e.g., HTTP POST method), encrypting it using HTTPS to ensure data security.

[1109] Input: User information that passes verification.

[1110] Output: Sends the encrypted data to the server.

[1111] Step 4:

[1112] The server analyzes the received information and understands the user's needs. It searches for property information using a database (e.g., MySQL, PostgreSQL). It filters properties based on family structure, requirements, and special requests (e.g., barrier-free access, lot size, etc.).

[1113] Input: User's family information and requirements.

[1114] Output: A list of properties that match the criteria. Execute the SQL query and get the search results.

[1115] Step 5:

[1116] The server selects suitable property candidates from the search results, assigns them evaluation scores, and calculates scores according to each condition (e.g., rent, accessibility, floor plan, etc.). It sorts the properties with the highest scores and creates a list of the most suitable properties.

[1117] Input: Search results property list.

[1118] Output: A scored and sorted list of properties.

[1119] Step 6:

[1120] The server generates a list of suitable property candidates and sends it to the user's device. The list includes detailed property information (e.g., address, floor plan, rent, photos, map links, etc.).

[1121] Input: A sorted list of properties.

[1122] Output: Sends the property list with detailed information to the user's device.

[1123] Step 7:

[1124] The terminal displays the received property list on the user interface of the web application, and the user checks the displayed property information.

[1125] Input: Property list sent from the server.

[1126] Output: Property information displayed on the web application screen (e.g. address, floor plan, rent, photos, map link, etc.).

[1127] Step 8:

[1128] The user reviews the proposed properties and then inputs further refinements or new requirements. The device then compiles the new criteria and sends them back to the server. This process is repeated until the optimal property is found that meets the user's detailed needs.

[1129] Input: The user's new requirements (e.g., "I want a property with a garden," "The building must be less than five years old," etc.).

[1130] Output: New criteria sent to the server, search performed again, and results returned to the user.

[1131] The above is the specific processing flow of this system with specific functions.

[1132] (Application example 1)

[1133] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1134] Conventional real estate property search systems have difficulty in quickly and appropriately suggesting properties that suit a user's family structure and lifestyle. Furthermore, the time required to input detailed requirements is time-consuming, resulting in a poor user experience. Furthermore, the lack of search methods that utilize interfaces such as voice recognition or touch input makes it difficult to efficiently search for properties.

[1135] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1136] In this invention, the server includes input means for inputting family information and requirements, verification means for validating the input information, transmission means for transmitting information that has passed validation to the server, cloud search means for searching a real estate property database based on the received information using a cloud server, selection means for selecting optimal property candidates from the search results, transmission / response means for transmitting the selected property candidates as a response to the user, display means for displaying the information received by the user, and interface means for inputting requirements using voice recognition or touch input. This allows the user's detailed requirements to be efficiently input and searched for, making it possible to quickly suggest optimal properties that suit their family structure and lifestyle.

[1137] "Family information" refers to information about the user's family, such as family structure, number of people, and ages.

[1138] "Requirements" refers to the property conditions and special needs that users desire (e.g. rent, location, facilities, etc.).

[1139] "Input means" refers to an interface that allows a user to input family information and requirements into the system.

[1140] "Verification means" refers to the function of checking whether the entered information is accurate and performing validation.

[1141] "Transmission means" refers to a function for transmitting information that has passed verification to a server.

[1142] "Cloud search means" refers to a function that searches a real estate property database based on information received using a cloud server.

[1143] "Selection method" refers to the function of selecting the most suitable property candidate from the search results.

[1144] The "transmission response means" refers to a function for transmitting the selected property candidates to the user as a response.

[1145] "Display means" refers to a function that displays the received information and property candidates so that the user can check them.

[1146] "Interface means" refers to a function for inputting requirements using voice recognition or touch input.

[1147] "Scoring method" refers to the function of assigning evaluation scores to the most suitable property candidates and sorting the properties in order of highest score.

[1148] The "re-search means" refers to a function that allows the user to input new additional conditions, conduct a search again based on those conditions, and reselect the most suitable property candidate.

[1149] This invention is a system that provides optimal housing according to the user's family structure and lifestyle. This system involves a series of processes in which the user inputs family information and requirements via their own terminal, and the server searches for and selects optimal property candidates based on that information and proposes them to the user.

[1150] Hardware and Software

[1151] Terminal: A device used by a user, including a smartphone, smart glasses, or a head-mounted display.

[1152] Server: Uses cloud servers, which are hardware used to perform database searches, information analysis, and filtering.

[1153] Software: An application server written in Python, using the Flask framework, the Requests library (for API requests), and a database (MySQL or NoSQL).

[1154] System Details

[1155] 1. User request input

[1156] Users access the system using a smartphone, smart glasses, or a head-mounted display.

[1157] Provides an interface for entering family information and requirements using voice recognition or touch input.

[1158] Example: A user speaks, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties."

[1159] 2. Saving and validating conditions

[1160] The terminal temporarily stores the information entered by the user and performs validation on each field of the form.

[1161] If there is a validation problem, an error message is displayed to the user, prompting them to correct it.

[1162] 3. Submitting the conditions

[1163] Send information that passes validation to the server.

[1164] 4. Database Search

[1165] The server analyzes the received information and searches a real estate property database.

[1166] Utilize cloud servers to efficiently filter the database.

[1167] 5. Selection of the best candidate

[1168] The server assigns evaluation scores to properties in the search results and scores them according to each condition.

[1169] Properties are sorted by highest score to select the best property candidate.

[1170] 6. Sending and displaying results

[1171] The server generates a list of optimal property candidates and sends it to the user's terminal.

[1172] Displays the list the user has received, including detailed information (address, floor plan, rent, photos, map link, etc.).

[1173] 7. Additional Customization

[1174] Users can review the proposed properties and enter new requirements or further refine their search criteria.

[1175] For example, the user can enter additional conditions such as "the house must have a garden" or "the building must be less than five years old" and request a new search based on those conditions.

[1176] Leveraging generative AI models

[1177] This system uses a generative AI model to enable flexible searches based on prompts entered by users. For example, in response to a prompt such as, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties," the generative AI model will search for and select the most suitable property.

[1178] In this way, users can efficiently input and search for detailed requirements, making it possible to quickly suggest the most suitable property based on their family composition and lifestyle.

[1179] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1180] Step 1:

[1181] Users access the system via a smartphone, smart glasses, or head-mounted display. They input their family information and requirements using voice recognition or touch input. Specifically, the user might say, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties."

[1182] Step 2:

[1183] The entered family information and requirements are temporarily saved on the terminal. The terminal validates the input, for example, ensuring that the rent is in numeric format and that all required fields have been entered. If there is a validation error, an appropriate error message is displayed to the user, prompting them to correct it.

[1184] Step 3:

[1185] Information that passes validation is sent from the terminal to the server. The input information is sent to the cloud server via this transmission means.

[1186] Step 4:

[1187] The server analyzes the received information and searches a real estate property database. Specifically, it uses a generative AI model to interpret the user's prompt and filter the database for relevant properties. For example, it applies filters such as "rent under 100,000 yen" and "barrier-free accessibility."

[1188] Step 5:

[1189] The server assigns an evaluation score to the filtered properties, scores each property based on how well it matches the criteria, sorts the properties by highest score, and selects the most suitable property candidate.

[1190] Step 6:

[1191] The server then sends a list of the best property candidates to the user's device, including detailed information such as the property's address, floor plan, rent, photos, and a map link.

[1192] Step 7:

[1193] The user reviews the proposed properties and enters more detailed criteria if necessary, such as "the house must have a garden" or "the building must be less than five years old." This information is then sent back to the server via the device, and a new search is performed.

[1194] Step 8:

[1195] The server searches the database again based on the received additional conditions and selects new optimal property candidates. The selected candidates are again sent to the user's terminal and displayed to the user.

[1196] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1197] This invention combines a system that proposes the most suitable home based on the user's family structure and lifestyle with an emotion engine that recognizes the user's emotions. This system consists of a series of processes in which the user inputs family information and requirements using a terminal, the server selects the most suitable property candidates based on that, and then makes proposals taking into account the user's emotion information.

[1198] Program processing

[1199] 1. User request input

[1200] User:

[1201] A user uses a terminal to access a website or application of the system.

[1202] Enter your family information and specific requirements. For example, enter "two boys running around energetically," "senior citizen with wheelchair access," "good access to a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[1203] 2. Saving and validating conditions

[1204] Device:

[1205] The information entered by the user is temporarily stored in memory and each field is validated to ensure accuracy, such as checking that the rent is entered as a number and that all required fields are filled in.

[1206] If validation fails, an error message is displayed to the user and they are asked to re-enter the information.

[1207] 3. Submitting the conditions

[1208] Device:

[1209] The information that passes validation is sent to the server in an appropriate data format such as JSON or XML.

[1210] 4. Database Search

[1211] server:

[1212] The received information is analyzed and a database is searched based on the user's family information and requirements, for example, a database query is generated and executed to retrieve property information that matches the requirements.

[1213] 5. Selection of the best candidate

[1214] server:

[1215] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[1216] 6. Generate and send results

[1217] server:

[1218] Based on the scoring results, the properties are sorted in descending order of score, and the most suitable property candidates are selected. A list of selected properties is generated and sent to the terminal as a response.

[1219] 7. Displaying the results

[1220] Device:

[1221] The property list received from the server is displayed on the user interface, including detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area.

[1222] 8. Acquiring and considering emotional information

[1223] Device:

[1224] Based on the user's input and operations, the emotion engine analyzes the user's emotions and acquires information about them, such as the user's facial expressions and tone of voice.

[1225] server:

[1226] The emotional information acquired by the emotion engine is reflected and used to score and select property candidates, adjusting the optimal proposals according to the user's emotional state.

[1227] 9. Additional Customization

[1228] User:

[1229] Review the proposed properties and enter additional conditions if necessary. For example, re-enter detailed conditions such as "property with garden" or "building less than 5 years old."

[1230] Device:

[1231] Send the new conditions to the server.

[1232] server:

[1233] The system searches the database again based on the new conditions, selects the most suitable property candidates taking into account emotional information, generates a list, and sends it to the terminal.

[1234] Device:

[1235] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[1236] The above is a specific embodiment of the system of the present invention. The system incorporating this emotion engine enables users to select a home with higher accuracy and that provides emotional satisfaction.

[1237] The processing flow will be explained below.

[1238] Step 1:

[1239] User:

[1240] Users access the system's website or application using a terminal. They enter their family information and specific requirements. Examples include "two boys running around energetically," "senior citizen using a wheelchair," "good access from a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[1241] Step 2:

[1242] Device:

[1243] The information entered by the user is temporarily stored in memory and validation is performed for each field. For example, it checks that the rent is a numeric value and that all required fields (family composition, required conditions, etc.) have been entered. If validation fails, an error message is displayed to the user and they are prompted to re-enter the information.

[1244] Step 3:

[1245] Device:

[1246] The information that passes validation is sent to the server in an appropriate data format such as JSON or XML.

[1247] Step 4:

[1248] server:

[1249] The server analyzes the received information and searches the database based on the user's family information and requirements, for example, by generating an SQL query to retrieve property information that matches the requirements.

[1250] Step 5:

[1251] server:

[1252] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[1253] Step 6:

[1254] server:

[1255] Based on the scoring results, the properties are sorted in descending order of score.The system then selects the property candidates that best meet the user's requirements, generates a list of the selected properties, and sends it to the terminal.

[1256] Step 7:

[1257] Device:

[1258] The property list received from the server is displayed on the user interface, including detailed information such as the property address, floor plan, rent, photos, and a link to a map of the surrounding area.

[1259] Step 8:

[1260] Device:

[1261] The emotion engine analyzes the user's emotions based on their input and operations. For example, it can analyze the user's facial expressions using a webcam, or infer emotions from the user's typing speed and mouse movements.

[1262] Step 9:

[1263] server:

[1264] The emotion engine adjusts the scoring and selection of property candidates based on the user's emotional information. For example, if the user shows signs of dissatisfaction, the evaluation is changed to give more weight to that condition.

[1265] Step 10:

[1266] server:

[1267] Based on the rescoring results that take into account emotional information, the property candidate list is updated and sent to the user's device.

[1268] Step 11:

[1269] Device:

[1270] The updated property listing is redisplayed in the user interface, allowing the user to reassess based on the new information.

[1271] Step 12:

[1272] User:

[1273] After reviewing the proposed properties, if you want to narrow down your search with more detailed conditions or add new requirements, you can enter additional conditions. For example, you can enter "property with garden" or "building less than 5 years old."

[1274] Step 13:

[1275] Device:

[1276] The newly entered conditions are validated again, and if there are no problems, they are sent to the server.

[1277] Step 14:

[1278] server:

[1279] The search is carried out again based on the new conditions, and the most suitable property candidates are reselected taking into account emotional information. The results are then sent to the device.

[1280] Step 15:

[1281] Device:

[1282] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[1283] The above is a specific embodiment of the system of the present invention. The system incorporating this emotion engine enables users to select a home with higher accuracy and that provides emotional satisfaction.

[1284] Example 2

[1285] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1286] Conventional property selection systems suggest optimal housing based on the user's family structure and lifestyle, but because they are unable to consider the user's emotional information, they are unable to sufficiently increase user satisfaction. In addition, they often cannot quickly respond to users' needs for additional conditions or repeated searches, making it difficult to provide flexible services.

[1287] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1288] In this invention, the server includes input means for inputting family information and requirements from the user, verification means for validating the input information, transmission means for transmitting information that has passed verification to the server, search means for searching a database based on the received information, selection means for selecting optimal property candidates from the search results, transmission / response means for transmitting the selected property candidates as a response to the user, display means for displaying the information received by the user, and emotion engine means for acquiring emotional information from the user and adjusting the property candidates based on that information. This enables property selection that takes the user's emotional information into consideration, enabling proposals for homes with even higher satisfaction and flexible responses.

[1289] The "input means" is a means for receiving family information and requirements from the user.

[1290] "Verification means" refers to means for verifying the accuracy and completeness of input information.

[1291] The "transmission means" is a means for transmitting information that has passed verification to the server.

[1292] "Search means" refers to means for searching the database based on the information received at the server.

[1293] The "selection means" is a means for selecting the most suitable property candidate from the search results.

[1294] The "transmission response means" is a means for transmitting the selected property candidates to the user as a response.

[1295] The "display means" is a means for displaying the information received by the user.

[1296] The "emotion engine means" is a means for acquiring the user's emotion information and adjusting the property candidates based on that information.

[1297] The "scoring means" is a means for assigning evaluation scores to the most suitable property candidates and sorting them in descending order of scores.

[1298] The "re-search means" is a means for the user to input new additional conditions, conduct a search again based on the new conditions, and select the most suitable property candidate again.

[1299] This invention combines a system that proposes the most suitable home based on the user's family structure and lifestyle with an emotion engine that recognizes the user's emotions. This system consists of a series of processes in which the user inputs family information and requirements using a terminal, the server selects the most suitable property candidates based on that, and then makes proposals taking into account the user's emotion information.

[1300] Input and validation methods

[1301] The user uses a terminal to access the system's website or application. There, they enter family information and specific requirements. For example, they might enter information such as "two boys running around energetically," "senior citizen using a wheelchair," "good access from a well-known cram school for junior high school entrance exams," and "rent up to 100,000 yen." The terminal temporarily stores the entered information in memory and performs validation. It checks whether the input is accurate and whether all required fields have been filled in. If there are any errors, an error message is displayed to the user, and they are asked to re-enter the information.

[1302] Transmission and retrieval means

[1303] If the entered information is correct and passes validation, the device sends it to the server in an appropriate format, such as JSON or XML. The server then analyzes the information and searches a database. For example, a query like the following can be used:

[1304] sql

[1305] SELECT FROM properties WHERE rent <= 100000 AND wheelchair_accessible = TRUE AND location IN (SELECT location FROM schools WHERE name = 'famous cram school')

[1306] Selection means and transmission response means

[1307] The server selects the most suitable property candidates from the search results. This selection is based on the results of a scoring process that takes into account factors such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building. The server generates a list of the most suitable property candidates and sends it to the terminal as a response.

[1308] Display means and emotion engine means

[1309] The device displays the property list received from the server on the user interface. This list includes detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area. The emotion engine also analyzes the user's facial expressions and tone of voice to obtain emotional information. The user's reactions are captured using a webcam and microphone and sent to the server. The server then re-scores the property candidates based on the emotional information and adjusts them according to the user's emotions.

[1310] Examples and prompts

[1311] As a concrete example, consider the case where a user enters the following: "We are a family of three living in Tokyo with two pets (dogs). We would prefer a location close to a park for our children and a 10-minute walk from the station. We are looking for a new property with rent of less than 150,000 yen."

[1312] An example of a prompt is as follows:

[1313] "We are a family of three living in Tokyo with two pets (dogs). We would like to find a property that is close to a park where the children can play and is within a 10-minute walk of the station. We would like the property to be as new as possible with rent of less than 150,000 yen."

[1314] This allows the system to propose optimal housing based on the user's needs as well as emotional information, thereby increasing user satisfaction.

[1315] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1316] Step 1:

[1317] Users use their devices to access the system's website or application, enter their family information and specific requirements.

[1318] Input: Family information, specific requirements

[1319] Output: Temporarily save the input information

[1320] Specific operation: When a user enters information into an input form and presses the "Submit" button, the information is temporarily stored in memory.

[1321] Step 2:

[1322] The terminal validates the information entered, checking that the rent is a number, that all required fields are filled in, etc.

[1323] Input: Information entered

[1324] Output: Validation result (success / failure)

[1325] Specific operation: The terminal checks the data in each field, and if there is an error message, it displays it to the user and prompts them to re-enter the data.

[1326] Step 3:

[1327] The device sends the verified information to the server in an appropriate format, such as JSON or XML.

[1328] Input: Information that passes validation

[1329] Output: Data sent to the server

[1330] Specific operation: The terminal executes the sending procedure and sends the information to the server as an HTTP request.

[1331] Step 4:

[1332] The server analyzes the information it receives and searches a database, for example by generating an SQL query and executing it against the database.

[1333] Input: Information sent from the device

[1334] Output: Database search results

[1335] What happens: The server analyzes the information and executes a query to retrieve properties that match the criteria.

[1336] Step 5:

[1337] The server selects the most suitable property candidates from the search results, taking into consideration factors such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[1338] Input: Database search results

[1339] Output: Scored property candidates

[1340] Specific operation: The server runs a scoring algorithm and assigns a rating score to each candidate property.

[1341] Step 6:

[1342] The server generates a list of optimal property candidates and sends it to the terminal.

[1343] Input: Scored property candidates

[1344] Output: Response data to the terminal

[1345] Specific operation: The server constructs a property list as a response and sends it to the terminal as an HTTP response.

[1346] Step 7:

[1347] The terminal displays the property list received from the server on the user interface, including the property address, floor plan, rent, photos, and a link to a map of the surrounding area.

[1348] Input: Response data from the server

[1349] Output: A list of properties displayed in the user interface

[1350] Specific behavior: The device parses the received information and displays it in the user interface in an appropriate format.

[1351] Step 8:

[1352] The device uses an emotion engine to acquire the user's emotional information, analyzing the user's facial expressions and tone of voice to detect their emotional state.

[1353] Input: User's facial expression, tone of voice

[1354] Output: Emotional information

[1355] Specific operation: The device analyzes audio and video data captured using a webcam or microphone and generates emotional information.

[1356] Step 9:

[1357] The server receives the emotional information and re-scores and adjusts the property candidates based on that information.

[1358] Input: Emotion information

[1359] Output: Refined property candidate list

[1360] Specific operation: The server analyzes the emotion data and performs readjustments to reflect the original scoring.

[1361] Step 10:

[1362] The user can review the proposed properties and, if necessary, enter additional conditions, such as "with garden" or "built within the last five years."

[1363] Input: User additional conditions

[1364] Output: Updated conditions

[1365] Specific operation: The user enters additional conditions on the interface and presses the "Submit" button again.

[1366] Step 11:

[1367] The terminal sends the new conditions to the server.

[1368] Input: Updated conditions

[1369] Output: Send updated data to the server

[1370] Specific operation: The terminal executes the sending procedure again and sends the updated conditions to the server as an HTTP request.

[1371] Step 12:

[1372] The server re-searches the database based on the new conditions and selects the most suitable property candidates, taking into account emotional information.

[1373] Input: Updated conditions, existing emotion information

[1374] Output: Reselected property candidate list

[1375] Specific operation: The server executes the search procedure again and selects suitable properties while utilizing emotional information.

[1376] Step 13:

[1377] The terminal displays the retransmitted property list on the user interface, and the user can further confirm and select.

[1378] Input: Reselected property candidate list

[1379] Output: The updated list as displayed in the user interface

[1380] Specific operation: The device parses the received information again and displays the updated property list.

[1381] (Application example 2)

[1382] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1383] Conventional real estate recommendation systems could recommend properties based on a user's family structure and lifestyle, but they were unable to take the user's emotional state into account. This made it difficult to increase the user's psychological satisfaction, and the accuracy of optimal property selection was insufficient. Furthermore, it was difficult to quickly and appropriately re-recommend properties when the user's desired conditions changed. This resulted in a complex and time-consuming process for users to find their ideal home.

[1384] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for the user to input family information and requirements, a verification means for validating the input information, a transmission means for transmitting information that has passed the verification to the server, a search means in the server for searching a database based on the received information, a selection means for selecting optimal property candidates from the search results, a transmission / response means for transmitting the selected property candidates as a response to the user, a display means for displaying the information received by the user, an emotion recognition means for acquiring emotional information about the user, and a score adjustment means for adjusting the score of the property based on the emotional information. This enables highly accurate property suggestions that take the user's emotional state into consideration, thereby enabling a more satisfying home selection experience.

[1385] "Family Information" is detailed information about the user's family, such as family composition, ages, activities, and special needs.

[1386] "Requirements" are specific conditions and wishes that a user has when selecting a property, including rent, location, layout, facilities, etc.

[1387] "Input means" refers to an interface that allows users to input family information and requirements into the system, and refers to a smartphone application or website.

[1388] "Verification means" is a function for checking the accuracy and completeness of information entered by the user, and performs validation checks.

[1389] The "transmission means" is a function for sending the input information to the server, and uses JSON or XML as the data format.

[1390] The "search means" is a function that allows the server to search the database based on the information received from the user and find the relevant property.

[1391] The "selection means" is a function for selecting the property that best meets the user's requirements from the property information obtained by the search means.

[1392] The "transmission and response means" is a function for transmitting the selected property candidates to the user.

[1393] "Display means" refers to a function for visually displaying the property information received by the user, and refers to the display of a smartphone or PC.

[1394] The "emotion recognition means" is a function for analyzing the user's emotions from facial expressions, tone of voice, etc., and acquiring that information.

[1395] The "score adjustment means" is a function for adjusting the property evaluation score based on the emotional information acquired by the emotion recognition means, and for making optimal property suggestions according to the user's emotional state.

[1396] This invention is a system that proposes the most suitable home based on the user's family structure and lifestyle, and is combined with an emotion engine that recognizes the user's emotions. This system is implemented according to the following steps.

[1397] 1. User Input

[1398] Users access the system using devices such as smartphones or PCs and enter family information and desired conditions. For example, they enter conditions such as rent, location, floor plan, and surrounding facilities. The user interface uses text boxes, drop-down menus, check boxes, and so on. A specific example is the following request: "Please find properties with rent of less than 100,000 yen, that are barrier-free, and allow pets."

[1399] 2. Verification of Information

[1400] The terminal temporarily stores the information entered by the user in memory and checks the accuracy of the input. For example, it performs validation such as whether the rent is entered as a number and whether all required fields are filled in. If there are any errors, it displays an error message to the user and urges them to re-enter the information.

[1401] 3. Transmission of Information

[1402] Once the information passes validation, it is sent to the server in a format such as JSON or XML, which receives it and prepares a search query to be executed against the database.

[1403] 4. Database Search

[1404] The server searches a database based on the received information. The database stores detailed information about each property, and retrieves properties that match the search query.

[1405] 5. Acquiring Emotional Information

[1406] While the user is entering property information, the device's built-in camera and microphone are used to record and analyze the user's facial expressions and voice, and emotional information is obtained. For example, the user's level of satisfaction can be measured from their facial expression when they view a specific property image.

[1407] 6. Selection and scoring of optimal candidates

[1408] The server scores the acquired property information based on the user's requirements and emotional information. Based on the emotional information, the server adjusts the property score and selects the most suitable property. Scoring is based on multiple factors, including rent, location, and the level of facilities.

[1409] 7. Sending and Displaying Results

[1410] The selected property candidates are sorted in descending order of score and sent to the device as a list, which is then displayed on the device's user interface, allowing the user to check detailed property information, photos, surrounding area information, and more.

[1411] This system allows users to receive highly accurate property suggestions that take their emotional state into account, resulting in a more satisfying home selection experience. Communication between the server and device uses the HTTP / HTTPS protocol, and data formats include JSON and XML. External libraries such as Microsoft Azure Cognitive Services and Google Cloud's Face API can be used for emotion recognition.

[1412] Specific examples

[1413] Example 1: If a senior couple is looking for a barrier-free property, the emotion recognition engine will capture the couple's sense of security and suggest properties with particularly comprehensive barrier-free access.

[1414] Example 2: If a family with many children is looking for a property near a park, the system recognizes the relieved expression on the mother's face when she looks at a photo of the park and uses that information to suggest suitable properties.

[1415] Prompt Sentence Examples

[1416] "Please search for properties with rent of under 100,000 yen, that are barrier-free, and that allow pets."

[1417] "Look for a property that is in a good environment for elementary school entrance exams and has good schools in the school district."

[1418] This makes it possible to make proposals that take into account not only the user's needs but also their emotions, helping them choose a home that will give them the highest level of satisfaction.

[1419] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1420] Step 1:

[1421] Users access the system using a device such as a smartphone or PC. They input their family information and requirements through an input method. For example, they input information such as "a property with rent of less than 100,000 yen, barrier-free access, and pet-friendly." The input information is temporarily stored in memory.

[1422] Step 2:

[1423] The terminal validates the entered information. Specifically, it checks whether the rent is entered as a number, whether all required fields are filled in, etc. If validation fails, it displays an error message to the user and requests them to re-enter the information until it is correct. Information that is successfully validated proceeds to the next step.

[1424] Step 3:

[1425] The terminal sends the information that passes validation to the server, where it is converted into JSON or XML format and securely transmitted using the HTTP / HTTPS protocol. The server analyzes the received information and prepares it for the next database lookup step.

[1426] Step 4:

[1427] The server searches a database containing detailed property information based on the received family information and the requested criteria. The server generates a search query, executes it against the database, and retrieves a list of properties that match the criteria.

[1428] Step 5:

[1429] While the user is entering their family information and requirements, the device's built-in camera and microphone collect the user's facial expressions and voice. Using emotion recognition tools, the system analyzes and acquires the user's emotional information from this data. For example, the system measures the user's feelings of joy or relief from their facial expression when they view an image of a specific property.

[1430] Step 6:

[1431] The server scores the acquired property information based on the requirements and emotional information. Scoring is weighted based on factors such as rent, location, and the level of facilities, and is adjusted based on the emotional information. This scoring is used to calculate an overall rating for each property.

[1432] Step 7:

[1433] The server sorts the property candidates based on the scoring results, selects the best property candidates from the sorted list, and generates a list. This list is then converted back to JSON or XML format and sent to the device.

[1434] Step 8:

[1435] The terminal displays the property candidate list received from the server to the user. Detailed property information, photos, and surrounding area information are visually presented through a user interface. The user can review this information and enter feedback as necessary.

[1436] Step 9:

[1437] When the user enters new conditions, the device resends the information to the server. The server then searches the database again based on the new conditions and reselects the most suitable property candidates, taking into account the emotional information. The results of this re-search are also sent to the device and displayed on the user interface.

[1438] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1439] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1440] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1441] [Fourth embodiment]

[1442] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1443] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1444] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1445] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1446] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1447] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1448] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1449] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1450] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1451] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1452] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1453] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1454] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1455] The present invention is a system that proposes the optimal home based on the user's family structure and lifestyle, and specific embodiments thereof are described below. This system involves a series of processes in which the user inputs family information and requirements using a terminal, and the server searches for and selects the optimal property candidates based on that information and proposes them to the user.

[1456] Program processing

[1457] 1. User request input

[1458] User:

[1459] Users access the system using terminals.

[1460] Family information and requirements (for example, "two boys running around energetically," "senior citizen using a wheelchair," "good access to a famous cram school for junior high school entrance exams," "rent up to 100,000 yen," etc.) are entered through the terminal's input interface.

[1461] 2. Saving and validating conditions

[1462] Device:

[1463] Temporarily stores information entered by the user.

[1464] Validate each field in the form (e.g., ensure rent is a number, and required fields are filled in) to ensure the accuracy of the input.

[1465] If there is a validation problem, an error message is displayed to the user, prompting them to correct it.

[1466] 3. Submitting the conditions

[1467] Device:

[1468] Send information that passes validation to the server.

[1469] 4. Database Search

[1470] server:

[1471] The received information is analyzed and searched in a database.

[1472] Filter properties based on family size, requirements, and special requests (e.g., accessibility, lot size, etc.).

[1473] 5. Selection of the best candidate

[1474] server:

[1475] An evaluation score is assigned to properties in the search results, and they are scored according to each condition.

[1476] Sort the properties by highest score and select a few of the best property candidates.

[1477] 6. Sending and displaying results

[1478] server:

[1479] A list of optimal property candidates is generated and sent to the user's device.

[1480] Device:

[1481] Receive the list and display it for the user to review, including detailed information (e.g., address, floor plan, rent, photos, map link, etc.).

[1482] 7. Additional Customization

[1483] User:

[1484] Review the proposed properties and enter any new requirements or further refinement criteria (e.g., "property with garden" or "building less than 5 years old").

[1485] Enter new conditions again through the terminal and request a new search.

[1486] Device:

[1487] Send the new conditions to the server.

[1488] server:

[1489] The database will be searched again based on the new conditions, and the most suitable property candidates will be selected and responded to.

[1490] The above is a specific embodiment of the system according to the present invention, which enables users to efficiently find a home that suits their family structure and lifestyle.

[1491] The processing flow will be explained below.

[1492] Step 1:

[1493] User:

[1494] Users access the system's website or application using a terminal. They enter family information and specific requirements into the input interface. For example, they can enter "two boys running around energetically," "senior citizen using a wheelchair," "good access from a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[1495] Step 2:

[1496] Device:

[1497] The information entered by the user is temporarily stored in memory and validation is performed on each field, such as checking that the rent is entered as a number and that all required fields are filled in. If validation fails, an error message is displayed to the user, prompting them to try again.

[1498] Step 3:

[1499] Device:

[1500] Once validation is complete, the information confirming that all fields have been entered correctly is sent to the server in an appropriate data format such as JSON or XML.

[1501] Step 4:

[1502] server:

[1503] The server analyzes the received information and searches a database based on the user's family information and the requested conditions, for example, by generating a database query and executing the query to retrieve property information that matches the conditions.

[1504] Step 5:

[1505] server:

[1506] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[1507] Step 6:

[1508] server:

[1509] Based on the scoring results, the properties are sorted in descending order of score.Then, the property candidates that best meet the user's requirements are selected.A list of selected properties is generated and sent to the terminal as a response.

[1510] Step 7:

[1511] Device:

[1512] The property list received from the server is displayed on the user interface, including detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area.

[1513] Step 8:

[1514] User:

[1515] Check the provided property list and enter additional conditions if you want to narrow down your search further or add new requirements. For example, you can re-enter conditions such as "property with garden" or "building less than 5 years old."

[1516] Step 9:

[1517] Device:

[1518] The newly entered conditions are validated again, and if there are no problems, they are sent to the server. As before, use an appropriate data format such as JSON or XML.

[1519] Step 10:

[1520] server:

[1521] Based on the new conditions received, the system searches the database again, scores and sorts the best property candidates, and then sends the reselected property list to the terminal.

[1522] Step 11:

[1523] Device:

[1524] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[1525] The above are the specific processing steps of the system according to the present invention, which allows users to easily find the best home that meets their needs.

[1526] Example 1

[1527] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1528] In order to accommodate the diverse family structures and lifestyles of today's society, users need to be able to find the perfect home efficiently and quickly. However, conventional systems face many challenges, such as verifying the accuracy of input information, improving the accuracy of search results, flexibly responding to additional conditions, and secure data transmission. This makes it difficult to meet the diverse needs of users, and it takes a great deal of time and effort to find the ideal home.

[1529] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1530] In this invention, the server includes an input means for a user to input family composition information and requirements via a user terminal, a verification means for validating the input information to confirm its accuracy, a transmission means for transmitting information that has passed the verification to the server, a search means in the server for searching a database based on the received information, a selection means for selecting optimal property candidates from the search results, a transmission / response means for transmitting the selected property candidates as a response to the user, a display means for displaying the information received by the user, a re-search means for receiving additional requirements from the user via the terminal and performing a search again, a scoring means for assigning evaluation scores to optimal property candidates and sorting properties in descending order of score, and the information entered by the user is encrypted using a security protocol and securely transmitted. By implementing this system, users can efficiently and safely find the optimal home that meets their diverse needs.

[1531] The "input means" is a means for a user to input family composition information and required conditions into the system via a terminal.

[1532] "Verification means" refers to a means of validating the entered information to ensure that it is accurate and complete.

[1533] The "transmission means" is a means for transmitting information that has passed verification to the server.

[1534] The "search means" is a means for searching the database based on the information received by the server.

[1535] The "selection means" is a means for selecting the most suitable property candidate from the search results.

[1536] The "transmission response means" is a means for transmitting the selected property candidates to the user as a response.

[1537] The "display means" is a means for displaying the information received by the user.

[1538] The "re-search means" is a means for receiving additional request conditions from the user and conducting a search again.

[1539] The "scoring means" is a means for assigning evaluation scores to optimal property candidates and sorting the properties in descending order of scores.

[1540] A "security protocol" is a technology for encrypting information entered by a user and transmitting it securely.

[1541] MODE FOR CARRYING OUT THE INVENTION

[1542] The present invention is a system that proposes the optimal home based on the user's family structure and lifestyle, and specific embodiments thereof are described below. This system involves a series of processes in which the user inputs family information and requirements using a terminal, and the server searches for and selects the optimal property candidates based on that information and proposes them to the user.

[1543] Hardware and software used

[1544] Hardware:

[1545] Devices: Smartphones, PCs

[1546] Server: Cloud server (e.g. Amazon Web Services, Microsoft Azure)

[1547] software:

[1548] Frontend: HTML, CSS, JavaScript

[1549] Validation: JavaScript

[1550] Backend: Python, Node.js

[1551] Database: MySQL, PostgreSQL

[1552] Program processing overview

[1553] 1. User request input

[1554] Users access the system using a web browser on their smartphone or PC. They enter information about their family composition and lifestyle into an input form in the web application. For example, "Two adults, two children. Junior high school entrance exams are coming up, so we need good access to a famous cram school. We have a senior who uses a wheelchair, so we need a barrier-free property. Rent should be less than 100,000 yen."

[1555] 2. Saving and validating conditions

[1556] The device temporarily stores the entered information. JavaScript is used to validate the entered information. For example, it checks that the rent is a number and that all required fields have been entered. If validation fails, an error message is displayed to the user urging them to make corrections.

[1557] 3. Submitting the conditions

[1558] The device sends the information that has passed verification to the server via an HTTP request, encrypting the data using HTTPS to ensure secure transmission.

[1559] 4. Database Search

[1560] The server analyzes the information sent by the user and searches the database, including family structure, requirements, and special requests (e.g., barrier-free access, lot size, etc.). It generates a specific SQL query and searches the database (MySQL, PostgreSQL, etc.).

[1561] 5. Selection of the best candidate

[1562] The server selects suitable property candidates from the search results, assigns them an evaluation score, sorts the properties in descending order of score, and creates a list of the most suitable properties. For example, the evaluation criteria include rent, accessibility, and floor plan.

[1563] 6. Sending and displaying results

[1564] The server generates a list of suitable property candidates and sends it to the user's device. The device then displays the received information to the user through a web application. The displayed information includes addresses, floor plans, rents, photos, and map links.

[1565] 7. Additional Customization

[1566] The user reviews the proposed properties and inputs new requirements or further refinements. For example, they may input "I want a property with a garden" or "A property less than five years old." The device compiles the new requirements and sends them back to the server. The server then searches again based on the new requirements, selects the most suitable property candidates again, and sends the results back to the user's device.

[1567] Specific examples

[1568] Example prompt sentence:

[1569] "Our family consists of two adults and two children. They are preparing for junior high school entrance exams, so we are looking for a property with good access to a famous cram school and rent of up to 100,000 yen. We are also planning to have a senior who uses a wheelchair living there, so a barrier-free property is a requirement."

[1570] In this way, the system can reflect the user's detailed needs and provide the most suitable home efficiently and safely.

[1571] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1572] Step 1:

[1573] Users access the system's web application using their smartphone or PC. By opening a web browser, an input form is displayed in which they can enter information about their family structure and lifestyle.

[1574] Input: "2 adults, 2 children. Junior high school entrance exams coming up, so good access to a famous cram school. Barrier-free access is required as there is a senior in a wheelchair. Rent is under 100,000 yen."

[1575] Output: The input information is saved in a form field in the web application.

[1576] Step 2:

[1577] The device uses JavaScript to validate the information entered, checking whether the rent is a number, whether required fields have been entered, etc.

[1578] Input: Information entered by the user.

[1579] Output: Validation result. If validation fails, an error message is displayed and the user is prompted to correct the error. An error message such as "Please enter a numeric value for rent" is returned.

[1580] Step 3:

[1581] The terminal sends the information that has passed the verification to the server via an HTTP request (e.g., HTTP POST method), encrypting it using HTTPS to ensure data security.

[1582] Input: User information that passes verification.

[1583] Output: Sends the encrypted data to the server.

[1584] Step 4:

[1585] The server analyzes the received information and understands the user's needs. It searches for property information using a database (e.g., MySQL, PostgreSQL). It filters properties based on family structure, requirements, and special requests (e.g., barrier-free access, lot size, etc.).

[1586] Input: User's family information and requirements.

[1587] Output: A list of properties that match the criteria. Execute the SQL query and get the search results.

[1588] Step 5:

[1589] The server selects suitable property candidates from the search results, assigns them evaluation scores, and calculates scores according to each condition (e.g., rent, accessibility, floor plan, etc.). It sorts the properties with the highest scores and creates a list of the most suitable properties.

[1590] Input: Search results property list.

[1591] Output: A scored and sorted list of properties.

[1592] Step 6:

[1593] The server generates a list of suitable property candidates and sends it to the user's device. The list includes detailed property information (e.g., address, floor plan, rent, photos, map links, etc.).

[1594] Input: A sorted list of properties.

[1595] Output: Sends the property list with detailed information to the user's device.

[1596] Step 7:

[1597] The terminal displays the received property list on the user interface of the web application, and the user checks the displayed property information.

[1598] Input: Property list sent from the server.

[1599] Output: Property information displayed on the web application screen (e.g. address, floor plan, rent, photos, map link, etc.).

[1600] Step 8:

[1601] The user reviews the proposed properties and then inputs further refinements or new requirements. The device then compiles the new criteria and sends them back to the server. This process is repeated until the optimal property is found that meets the user's detailed needs.

[1602] Input: The user's new requirements (e.g., "I want a property with a garden," "The building must be less than five years old," etc.).

[1603] Output: New criteria sent to the server, search performed again, and results returned to the user.

[1604] The above is the specific processing flow of this system with specific functions.

[1605] (Application example 1)

[1606] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1607] Conventional real estate property search systems have difficulty in quickly and appropriately suggesting properties that suit a user's family structure and lifestyle. Furthermore, the time required to input detailed requirements is time-consuming, resulting in a poor user experience. Furthermore, the lack of search methods that utilize interfaces such as voice recognition or touch input makes it difficult to efficiently search for properties.

[1608] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1609] In this invention, the server includes input means for inputting family information and requirements, verification means for validating the input information, transmission means for transmitting information that has passed validation to the server, cloud search means for searching a real estate property database based on the received information using a cloud server, selection means for selecting optimal property candidates from the search results, transmission / response means for transmitting the selected property candidates as a response to the user, display means for displaying the information received by the user, and interface means for inputting requirements using voice recognition or touch input. This allows the user's detailed requirements to be efficiently input and searched for, making it possible to quickly suggest optimal properties that suit their family structure and lifestyle.

[1610] "Family information" refers to information about the user's family, such as family structure, number of people, and ages.

[1611] "Requirements" refers to the property conditions and special needs that users desire (e.g. rent, location, facilities, etc.).

[1612] "Input means" refers to an interface that allows a user to input family information and requirements into the system.

[1613] "Verification means" refers to the function of checking whether the entered information is accurate and performing validation.

[1614] "Transmission means" refers to a function for transmitting information that has passed verification to a server.

[1615] "Cloud search means" refers to a function that searches a real estate property database based on information received using a cloud server.

[1616] "Selection method" refers to the function of selecting the most suitable property candidate from the search results.

[1617] The "transmission response means" refers to a function for transmitting the selected property candidates to the user as a response.

[1618] "Display means" refers to a function that displays the received information and property candidates so that the user can check them.

[1619] "Interface means" refers to a function for inputting requirements using voice recognition or touch input.

[1620] "Scoring method" refers to the function of assigning evaluation scores to the most suitable property candidates and sorting the properties in order of highest score.

[1621] The "re-search means" refers to a function that allows the user to input new additional conditions, conduct a search again based on those conditions, and reselect the most suitable property candidate.

[1622] This invention is a system that provides optimal housing according to the user's family structure and lifestyle. This system involves a series of processes in which the user inputs family information and requirements via their own terminal, and the server searches for and selects optimal property candidates based on that information and proposes them to the user.

[1623] Hardware and Software

[1624] Terminal: A device used by a user, including a smartphone, smart glasses, or a head-mounted display.

[1625] Server: Uses cloud servers, which are hardware used to perform database searches, information analysis, and filtering.

[1626] Software: An application server written in Python, using the Flask framework, the Requests library (for API requests), and a database (MySQL or NoSQL).

[1627] System Details

[1628] 1. User request input

[1629] Users access the system using a smartphone, smart glasses, or a head-mounted display.

[1630] Provides an interface for entering family information and requirements using voice recognition or touch input.

[1631] Example: A user speaks, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties."

[1632] 2. Saving and validating conditions

[1633] The terminal temporarily stores the information entered by the user and performs validation on each field of the form.

[1634] If there is a validation problem, an error message is displayed to the user, prompting them to correct it.

[1635] 3. Submitting the conditions

[1636] Send information that passes validation to the server.

[1637] 4. Database Search

[1638] The server analyzes the received information and searches a real estate property database.

[1639] Utilize cloud servers to efficiently filter the database.

[1640] 5. Selection of the best candidate

[1641] The server assigns evaluation scores to properties in the search results and scores them according to each condition.

[1642] Properties are sorted by highest score to select the best property candidate.

[1643] 6. Sending and displaying results

[1644] The server generates a list of optimal property candidates and sends it to the user's terminal.

[1645] Displays the list the user has received, including detailed information (address, floor plan, rent, photos, map link, etc.).

[1646] 7. Additional Customization

[1647] Users can review the proposed properties and enter new requirements or further refine their search criteria.

[1648] For example, the user can enter additional conditions such as "the house must have a garden" or "the building must be less than five years old" and request a new search based on those conditions.

[1649] Leveraging generative AI models

[1650] This system uses a generative AI model to enable flexible searches based on prompts entered by users. For example, in response to a prompt such as, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties," the generative AI model will search for and select the most suitable property.

[1651] In this way, users can efficiently input and search for detailed requirements, making it possible to quickly suggest the most suitable property based on their family composition and lifestyle.

[1652] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1653] Step 1:

[1654] Users access the system via a smartphone, smart glasses, or head-mounted display. They input their family information and requirements using voice recognition or touch input. Specifically, the user might say, "I'm looking for a barrier-free property for seniors with rent up to 100,000 yen. Please suggest some real estate properties."

[1655] Step 2:

[1656] The entered family information and requirements are temporarily saved on the terminal. The terminal validates the input, for example, ensuring that the rent is in numeric format and that all required fields have been entered. If there is a validation error, an appropriate error message is displayed to the user, prompting them to correct it.

[1657] Step 3:

[1658] Information that passes validation is sent from the terminal to the server. The input information is sent to the cloud server via this transmission means.

[1659] Step 4:

[1660] The server analyzes the received information and searches a real estate property database. Specifically, it uses a generative AI model to interpret the user's prompt and filter the database for relevant properties. For example, it applies filters such as "rent under 100,000 yen" and "barrier-free accessibility."

[1661] Step 5:

[1662] The server assigns an evaluation score to the filtered properties, scores each property based on how well it matches the criteria, sorts the properties by highest score, and selects the most suitable property candidate.

[1663] Step 6:

[1664] The server then sends a list of the best property candidates to the user's device, including detailed information such as the property's address, floor plan, rent, photos, and a map link.

[1665] Step 7:

[1666] The user reviews the proposed properties and enters more detailed criteria if necessary, such as "the house must have a garden" or "the building must be less than five years old." This information is then sent back to the server via the device, and a new search is performed.

[1667] Step 8:

[1668] The server searches the database again based on the received additional conditions and selects new optimal property candidates. The selected candidates are again sent to the user's terminal and displayed to the user.

[1669] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1670] This invention combines a system that proposes the most suitable home based on the user's family structure and lifestyle with an emotion engine that recognizes the user's emotions. This system consists of a series of processes in which the user inputs family information and requirements using a terminal, the server selects the most suitable property candidates based on that, and then makes proposals taking into account the user's emotion information.

[1671] Program processing

[1672] 1. User request input

[1673] User:

[1674] A user uses a terminal to access a website or application of the system.

[1675] Enter your family information and specific requirements. For example, enter "two boys running around energetically," "senior citizen with wheelchair access," "good access to a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[1676] 2. Saving and validating conditions

[1677] Device:

[1678] The information entered by the user is temporarily stored in memory and each field is validated to ensure accuracy, such as checking that the rent is entered as a number and that all required fields are filled in.

[1679] If validation fails, an error message is displayed to the user and they are asked to re-enter the information.

[1680] 3. Submitting the conditions

[1681] Device:

[1682] The information that passes validation is sent to the server in an appropriate data format such as JSON or XML.

[1683] 4. Database Search

[1684] server:

[1685] The received information is analyzed and a database is searched based on the user's family information and requirements, for example, a database query is generated and executed to retrieve property information that matches the requirements.

[1686] 5. Selection of the best candidate

[1687] server:

[1688] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[1689] 6. Generate and send results

[1690] server:

[1691] Based on the scoring results, the properties are sorted in descending order of score, and the most suitable property candidates are selected. A list of selected properties is generated and sent to the terminal as a response.

[1692] 7. Displaying the results

[1693] Device:

[1694] The property list received from the server is displayed on the user interface, including detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area.

[1695] 8. Acquiring and considering emotional information

[1696] Device:

[1697] Based on the user's input and operations, the emotion engine analyzes the user's emotions and acquires information about them, such as the user's facial expressions and tone of voice.

[1698] server:

[1699] The emotional information acquired by the emotion engine is reflected and used to score and select property candidates, adjusting the optimal proposals according to the user's emotional state.

[1700] 9. Additional Customization

[1701] User:

[1702] Review the proposed properties and enter additional conditions if necessary. For example, re-enter detailed conditions such as "property with garden" or "building less than 5 years old."

[1703] Device:

[1704] Send the new conditions to the server.

[1705] server:

[1706] The system searches the database again based on the new conditions, selects the most suitable property candidates taking into account emotional information, generates a list, and sends it to the terminal.

[1707] Device:

[1708] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[1709] The above is a specific embodiment of the system of the present invention. The system incorporating this emotion engine enables users to select a home with higher accuracy and that provides emotional satisfaction.

[1710] The processing flow will be explained below.

[1711] Step 1:

[1712] User:

[1713] Users access the system's website or application using a terminal. They enter their family information and specific requirements. Examples include "two boys running around energetically," "senior citizen using a wheelchair," "good access from a famous cram school for junior high school entrance exams," and "rent up to 100,000 yen."

[1714] Step 2:

[1715] Device:

[1716] The information entered by the user is temporarily stored in memory and validation is performed for each field. For example, it checks that the rent is a numeric value and that all required fields (family composition, required conditions, etc.) have been entered. If validation fails, an error message is displayed to the user and they are prompted to re-enter the information.

[1717] Step 3:

[1718] Device:

[1719] The information that passes validation is sent to the server in an appropriate data format such as JSON or XML.

[1720] Step 4:

[1721] server:

[1722] The server analyzes the received information and searches the database based on the user's family information and requirements, for example, by generating an SQL query to retrieve property information that matches the requirements.

[1723] Step 5:

[1724] server:

[1725] The system analyzes property information retrieved from the database and assigns a score to each property based on the user's criteria. The score is calculated by weighting multiple factors, such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[1726] Step 6:

[1727] server:

[1728] Based on the scoring results, the properties are sorted in descending order of score.The system then selects the property candidates that best meet the user's requirements, generates a list of the selected properties, and sends it to the terminal.

[1729] Step 7:

[1730] Device:

[1731] The property list received from the server is displayed on the user interface, including detailed information such as the property address, floor plan, rent, photos, and a link to a map of the surrounding area.

[1732] Step 8:

[1733] Device:

[1734] The emotion engine analyzes the user's emotions based on their input and operations. For example, it can analyze the user's facial expressions using a webcam, or infer emotions from the user's typing speed and mouse movements.

[1735] Step 9:

[1736] server:

[1737] The emotion engine adjusts the scoring and selection of property candidates based on the user's emotional information. For example, if the user shows signs of dissatisfaction, the evaluation is changed to give more weight to that condition.

[1738] Step 10:

[1739] server:

[1740] Based on the rescoring results that take into account emotional information, the property candidate list is updated and sent to the user's device.

[1741] Step 11:

[1742] Device:

[1743] The updated property listing is redisplayed in the user interface, allowing the user to reassess based on the new information.

[1744] Step 12:

[1745] User:

[1746] After reviewing the proposed properties, if you want to narrow down your search with more detailed conditions or add new requirements, you can enter additional conditions. For example, you can enter "property with garden" or "building less than 5 years old."

[1747] Step 13:

[1748] Device:

[1749] The newly entered conditions are validated again, and if there are no problems, they are sent to the server.

[1750] Step 14:

[1751] server:

[1752] The search is carried out again based on the new conditions, and the most suitable property candidates are reselected taking into account emotional information. The results are then sent to the device.

[1753] Step 15:

[1754] Device:

[1755] The resent property list is displayed on the user interface for further confirmation and selection by the user.

[1756] The above is a specific embodiment of the system of the present invention. The system incorporating this emotion engine enables users to select a home with higher accuracy and that provides emotional satisfaction.

[1757] Example 2

[1758] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1759] Conventional property selection systems suggest optimal housing based on the user's family structure and lifestyle, but because they are unable to consider the user's emotional information, they are unable to sufficiently increase user satisfaction. In addition, they often cannot quickly respond to users' needs for additional conditions or repeated searches, making it difficult to provide flexible services.

[1760] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1761] In this invention, the server includes input means for inputting family information and requirements from the user, verification means for validating the input information, transmission means for transmitting information that has passed verification to the server, search means for searching a database based on the received information, selection means for selecting optimal property candidates from the search results, transmission / response means for transmitting the selected property candidates as a response to the user, display means for displaying the information received by the user, and emotion engine means for acquiring emotional information from the user and adjusting the property candidates based on that information. This enables property selection that takes the user's emotional information into consideration, enabling proposals for homes with even higher satisfaction and flexible responses.

[1762] The "input means" is a means for receiving family information and requirements from the user.

[1763] "Verification means" refers to means for verifying the accuracy and completeness of input information.

[1764] The "transmission means" is a means for transmitting information that has passed verification to the server.

[1765] "Search means" refers to means for searching the database based on the information received at the server.

[1766] The "selection means" is a means for selecting the most suitable property candidate from the search results.

[1767] The "transmission response means" is a means for transmitting the selected property candidates to the user as a response.

[1768] The "display means" is a means for displaying the information received by the user.

[1769] The "emotion engine means" is a means for acquiring the user's emotion information and adjusting the property candidates based on that information.

[1770] The "scoring means" is a means for assigning evaluation scores to the most suitable property candidates and sorting them in descending order of scores.

[1771] The "re-search means" is a means for the user to input new additional conditions, conduct a search again based on the new conditions, and select the most suitable property candidate again.

[1772] This invention combines a system that proposes the most suitable home based on the user's family structure and lifestyle with an emotion engine that recognizes the user's emotions. This system consists of a series of processes in which the user inputs family information and requirements using a terminal, the server selects the most suitable property candidates based on that, and then makes proposals taking into account the user's emotion information.

[1773] Input and validation methods

[1774] The user uses a terminal to access the system's website or application. There, they enter family information and specific requirements. For example, they might enter information such as "two boys running around energetically," "senior citizen using a wheelchair," "good access from a well-known cram school for junior high school entrance exams," and "rent up to 100,000 yen." The terminal temporarily stores the entered information in memory and performs validation. It checks whether the input is accurate and whether all required fields have been filled in. If there are any errors, an error message is displayed to the user, and they are asked to re-enter the information.

[1775] Transmission and retrieval means

[1776] If the entered information is correct and passes validation, the device sends it to the server in an appropriate format, such as JSON or XML. The server then analyzes the information and searches a database. For example, a query like the following can be used:

[1777] sql

[1778] SELECT FROM properties WHERE rent <= 100000 AND wheelchair_accessible = TRUE AND location IN (SELECT location FROM schools WHERE name = 'famous cram school')

[1779] Selection means and transmission response means

[1780] The server selects the most suitable property candidates from the search results. This selection is based on the results of a scoring process that takes into account factors such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building. The server generates a list of the most suitable property candidates and sends it to the terminal as a response.

[1781] Display means and emotion engine means

[1782] The device displays the property list received from the server on the user interface. This list includes detailed information such as the property's address, floor plan, rent, photos, and a link to a map of the surrounding area. The emotion engine also analyzes the user's facial expressions and tone of voice to obtain emotional information. The user's reactions are captured using a webcam and microphone and sent to the server. The server then re-scores the property candidates based on the emotional information and adjusts them according to the user's emotions.

[1783] Examples and prompts

[1784] As a concrete example, consider the case where a user enters the following: "We are a family of three living in Tokyo with two pets (dogs). We would prefer a location close to a park for our children and a 10-minute walk from the station. We are looking for a new property with rent of less than 150,000 yen."

[1785] An example of a prompt is as follows:

[1786] "We are a family of three living in Tokyo with two pets (dogs). We would like to find a property that is close to a park where the children can play and is within a 10-minute walk of the station. We would like the property to be as new as possible with rent of less than 150,000 yen."

[1787] This allows the system to propose optimal housing based on the user's needs as well as emotional information, thereby increasing user satisfaction.

[1788] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1789] Step 1:

[1790] Users use their devices to access the system's website or application, enter their family information and specific requirements.

[1791] Input: Family information, specific requirements

[1792] Output: Temporarily save the input information

[1793] Specific operation: When a user enters information into an input form and presses the "Submit" button, the information is temporarily stored in memory.

[1794] Step 2:

[1795] The terminal validates the information entered, checking that the rent is a number, that all required fields are filled in, etc.

[1796] Input: Information entered

[1797] Output: Validation result (success / failure)

[1798] Specific operation: The terminal checks the data in each field, and if there is an error message, it displays it to the user and prompts them to re-enter the data.

[1799] Step 3:

[1800] The device sends the verified information to the server in an appropriate format, such as JSON or XML.

[1801] Input: Information that passes validation

[1802] Output: Data sent to the server

[1803] Specific operation: The terminal executes the sending procedure and sends the information to the server as an HTTP request.

[1804] Step 4:

[1805] The server analyzes the information it receives and searches a database, for example by generating an SQL query and executing it against the database.

[1806] Input: Information sent from the device

[1807] Output: Database search results

[1808] What happens: The server analyzes the information and executes a query to retrieve properties that match the criteria.

[1809] Step 5:

[1810] The server selects the most suitable property candidates from the search results, taking into consideration factors such as rent, location, availability of surrounding facilities, barrier-free access, and age of the building.

[1811] Input: Database search results

[1812] Output: Scored property candidates

[1813] Specific operation: The server runs a scoring algorithm and assigns a rating score to each candidate property.

[1814] Step 6:

[1815] The server generates a list of optimal property candidates and sends it to the terminal.

[1816] Input: Scored property candidates

[1817] Output: Response data to the terminal

[1818] Specific operation: The server constructs a property list as a response and sends it to the terminal as an HTTP response.

[1819] Step 7:

[1820] The terminal displays the property list received from the server on the user interface, including the property address, floor plan, rent, photos, and a link to a map of the surrounding area.

[1821] Input: Response data from the server

[1822] Output: A list of properties displayed in the user interface

[1823] Specific behavior: The device parses the received information and displays it in the user interface in an appropriate format.

[1824] Step 8:

[1825] The device uses an emotion engine to acquire the user's emotional information, analyzing the user's facial expressions and tone of voice to detect their emotional state.

[1826] Input: User's facial expression, tone of voice

[1827] Output: Emotional information

[1828] Specific operation: The device analyzes audio and video data captured using a webcam or microphone and generates emotional information.

[1829] Step 9:

[1830] The server receives the emotional information and re-scores and adjusts the property candidates based on that information.

[1831] Input: Emotion information

[1832] Output: Refined property candidate list

[1833] Specific operation: The server analyzes the emotion data and performs readjustments to reflect the original scoring.

[1834] Step 10:

[1835] The user can review the proposed properties and, if necessary, enter additional conditions, such as "with garden" or "built within the last five years."

[1836] Input: User additional conditions

[1837] Output: Updated conditions

[1838] Specific operation: The user enters additional conditions on the interface and presses the "Submit" button again.

[1839] Step 11:

[1840] The terminal sends the new conditions to the server.

[1841] Input: Updated conditions

[1842] Output: Send updated data to the server

[1843] Specific operation: The terminal executes the sending procedure again and sends the updated conditions to the server as an HTTP request.

[1844] Step 12:

[1845] The server re-searches the database based on the new conditions and selects the most suitable property candidates, taking into account emotional information.

[1846] Input: Updated conditions, existing emotion information

[1847] Output: Reselected property candidate list

[1848] Specific operation: The server executes the search procedure again and selects suitable properties while utilizing emotional information.

[1849] Step 13:

[1850] The terminal displays the retransmitted property list on the user interface, and the user can further confirm and select.

[1851] Input: Reselected property candidate list

[1852] Output: The updated list as displayed in the user interface

[1853] Specific operation: The device parses the received information again and displays the updated property list.

[1854] (Application example 2)

[1855] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1856] Conventional real estate recommendation systems could recommend properties based on a user's family structure and lifestyle, but they were unable to take the user's emotional state into account. This made it difficult to increase the user's psychological satisfaction, and the accuracy of optimal property selection was insufficient. Furthermore, it was difficult to quickly and appropriately re-recommend properties when the user's desired conditions changed. This resulted in a complex and time-consuming process for users to find their ideal home.

[1857] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for the user to input family information and requirements, a verification means for validating the input information, a transmission means for transmitting information that has passed the verification to the server, a search means in the server for searching a database based on the received information, a selection means for selecting optimal property candidates from the search results, a transmission / response means for transmitting the selected property candidates as a response to the user, a display means for displaying the information received by the user, an emotion recognition means for acquiring emotional information about the user, and a score adjustment means for adjusting the score of the property based on the emotional information. This enables highly accurate property suggestions that take the user's emotional state into consideration, thereby enabling a more satisfying home selection experience.

[1858] "Family Information" is detailed information about the user's family, such as family composition, ages, activities, and special needs.

[1859] "Requirements" are specific conditions and wishes that a user has when selecting a property, including rent, location, layout, facilities, etc.

[1860] "Input means" refers to an interface that allows users to input family information and requirements into the system, and refers to a smartphone application or website.

[1861] "Verification means" is a function for checking the accuracy and completeness of information entered by the user, and performs validation checks.

[1862] The "transmission means" is a function for sending the input information to the server, and uses JSON or XML as the data format.

[1863] The "search means" is a function that allows the server to search the database based on the information received from the user and find the relevant property.

[1864] The "selection means" is a function for selecting the property that best meets the user's requirements from the property information obtained by the search means.

[1865] The "transmission and response means" is a function for transmitting the selected property candidates to the user.

[1866] "Display means" refers to a function for visually displaying the property information received by the user, and refers to the display of a smartphone or PC.

[1867] The "emotion recognition means" is a function for analyzing the user's emotions from facial expressions, tone of voice, etc., and acquiring that information.

[1868] The "score adjustment means" is a function for adjusting the property evaluation score based on the emotional information acquired by the emotion recognition means, and for making optimal property suggestions according to the user's emotional state.

[1869] This invention is a system that proposes the most suitable home based on the user's family structure and lifestyle, and is combined with an emotion engine that recognizes the user's emotions. This system is implemented according to the following steps.

[1870] 1. User Input

[1871] Users access the system using devices such as smartphones or PCs and enter family information and desired conditions. For example, they enter conditions such as rent, location, floor plan, and surrounding facilities. The user interface uses text boxes, drop-down menus, check boxes, and so on. A specific example is the following request: "Please find properties with rent of less than 100,000 yen, that are barrier-free, and allow pets."

[1872] 2. Verification of Information

[1873] The terminal temporarily stores the information entered by the user in memory and checks the accuracy of the input. For example, it performs validation such as whether the rent is entered as a number and whether all required fields are filled in. If there are any errors, it displays an error message to the user and urges them to re-enter the information.

[1874] 3. Transmission of Information

[1875] Once the information passes validation, it is sent to the server in a format such as JSON or XML, which receives it and prepares a search query to be executed against the database.

[1876] 4. Database Search

[1877] The server searches a database based on the received information. The database stores detailed information about each property, and retrieves properties that match the search query.

[1878] 5. Acquiring Emotional Information

[1879] While the user is entering property information, the device's built-in camera and microphone are used to record and analyze the user's facial expressions and voice, and emotional information is obtained. For example, the user's level of satisfaction can be measured from their facial expression when they view a specific property image.

[1880] 6. Selection and scoring of optimal candidates

[1881] The server scores the acquired property information based on the user's requirements and emotional information. Based on the emotional information, the server adjusts the property score and selects the most suitable property. Scoring is based on multiple factors, including rent, location, and the level of facilities.

[1882] 7. Sending and Displaying Results

[1883] The selected property candidates are sorted in descending order of score and sent to the device as a list, which is then displayed on the device's user interface, allowing the user to check detailed property information, photos, surrounding area information, and more.

[1884] This system allows users to receive highly accurate property suggestions that take their emotional state into account, resulting in a more satisfying home selection experience. Communication between the server and device uses the HTTP / HTTPS protocol, and data formats include JSON and XML. External libraries such as Microsoft Azure Cognitive Services and Google Cloud's Face API can be used for emotion recognition.

[1885] Specific examples

[1886] Example 1: If a senior couple is looking for a barrier-free property, the emotion recognition engine will capture the couple's sense of security and suggest properties with particularly comprehensive barrier-free access.

[1887] Example 2: If a family with many children is looking for a property near a park, the system recognizes the relieved expression on the mother's face when she looks at a photo of the park and uses that information to suggest suitable properties.

[1888] Prompt Sentence Examples

[1889] "Please search for properties with rent of under 100,000 yen, that are barrier-free, and that allow pets."

[1890] "Look for a property that is in a good environment for elementary school entrance exams and has good schools in the school district."

[1891] This makes it possible to make proposals that take into account not only the user's needs but also their emotions, helping them choose a home that will give them the highest level of satisfaction.

[1892] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1893] Step 1:

[1894] Users access the system using a device such as a smartphone or PC. They input their family information and requirements through an input method. For example, they input information such as "a property with rent of less than 100,000 yen, barrier-free access, and pet-friendly." The input information is temporarily stored in memory.

[1895] Step 2:

[1896] The terminal validates the entered information. Specifically, it checks whether the rent is entered as a number, whether all required fields are filled in, etc. If validation fails, it displays an error message to the user and requests them to re-enter the information until it is correct. Information that is successfully validated proceeds to the next step.

[1897] Step 3:

[1898] The terminal sends the information that passes validation to the server, where it is converted into JSON or XML format and securely transmitted using the HTTP / HTTPS protocol. The server analyzes the received information and prepares it for the next database lookup step.

[1899] Step 4:

[1900] The server searches a database containing detailed property information based on the received family information and the requested criteria. The server generates a search query, executes it against the database, and retrieves a list of properties that match the criteria.

[1901] Step 5:

[1902] While the user is entering their family information and requirements, the device's built-in camera and microphone collect the user's facial expressions and voice. Using emotion recognition tools, the system analyzes and acquires the user's emotional information from this data. For example, the system measures the user's feelings of joy or relief from their facial expression when they view an image of a specific property.

[1903] Step 6:

[1904] The server scores the acquired property information based on the requirements and emotional information. Scoring is weighted based on factors such as rent, location, and the level of facilities, and is adjusted based on the emotional information. This scoring is used to calculate an overall rating for each property.

[1905] Step 7:

[1906] The server sorts the property candidates based on the scoring results, selects the best property candidates from the sorted list, and generates a list. This list is then converted back to JSON or XML format and sent to the device.

[1907] Step 8:

[1908] The terminal displays the property candidate list received from the server to the user. Detailed property information, photos, and surrounding area information are visually presented through a user interface. The user can review this information and enter feedback as necessary.

[1909] Step 9:

[1910] When the user enters new conditions, the device resends the information to the server. The server then searches the database again based on the new conditions and reselects the most suitable property candidates, taking into account the emotional information. The results of this re-search are also sent to the device and displayed on the user interface.

[1911] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1912] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1913] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1914] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1915] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1916] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1917] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1918] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1919] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1920] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1921] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1922] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1923] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1924] 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.

[1925] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1926] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1927] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1928] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1929] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1930] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1931] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1932] The following is further disclosed regarding the above embodiment.

[1933] (Claim 1)

[1934] an input means for inputting family information and requirements from a user;

[1935] a validation means for validating the input information;

[1936] a transmitting means for transmitting the verified information to a server;

[1937] a search means in the server for searching a database based on the received information;

[1938] A selection method to select the best property candidates from the search results,

[1939] a sending and responding means for sending the selected property candidates to the user as a response;

[1940] display means for displaying the information received by the user;

[1941] A system including:

[1942] (Claim 2)

[1943] 2. The system according to claim 1, further comprising a scoring means for assigning an evaluation score to the most suitable property candidate and sorting the properties in descending order of score.

[1944] (Claim 3)

[1945] 2. The system according to claim 1, further comprising a re-search means for allowing a user to input new additional conditions, to conduct a re-search based on the input conditions, and to re-select the most suitable property candidate.

[1946] "Example 1"

[1947] (Claim 1)

[1948] an input means for a user to input family composition information and requirements via a user terminal;

[1949] a verification means for validating the entered information to ensure its accuracy;

[1950] a transmitting means for transmitting the verified information to a server;

[1951] a search means in the server for searching a database based on the received information;

[1952] A selection method to select the best property candidates from the search results,

[1953] a sending and responding means for sending the selected property candidates to the user as a response;

[1954] display means for displaying the information received by the user;

[1955] a re-search means for receiving additional request conditions from the user via the terminal and performing a search again;

[1956] A system including:

[1957] (Claim 2)

[1958] 2. The system according to claim 1, further comprising a scoring means for assigning an evaluation score to the most suitable property candidate and sorting the properties in descending order of score.

[1959] (Claim 3)

[1960] 2. The system of claim 1, wherein information entered by the user is encrypted using a security protocol and transmitted securely.

[1961] "Application Example 1"

[1962] (Claim 1)

[1963] an input means for inputting family information and requirements from a user;

[1964] a validation means for validating the input information;

[1965] a transmitting means for transmitting the verified information to a server;

[1966] a search means in the server for searching a database based on the received information;

[1967] A selection method to select the best property candidates from the search results,

[1968] a sending and responding means for sending the selected property candidates to the user as a response;

[1969] display means for displaying the information received by the user;

[1970] an interface means for inputting requirements using voice recognition or touch input;

[1971] a cloud search means for searching a real estate property database based on the received information using a cloud server;

[1972] A system including:

[1973] (Claim 2)

[1974] 2. The system according to claim 1, further comprising a scoring means for assigning an evaluation score to the most suitable property candidate and sorting the properties in descending order of score.

[1975] (Claim 3)

[1976] 2. The system according to claim 1, further comprising a re-search means for allowing a user to input new additional conditions, to conduct a re-search based on the input conditions, and to re-select the most suitable property candidate.

[1977] "Example 2: Combining Emotion Engines"

[1978] (Claim 1)

[1979] an input means for inputting family information and requirements from a user;

[1980] a validation means for validating the input information;

[1981] a transmitting means for transmitting the verified information to a server;

[1982] a search means in the server for searching a database based on the received information;

[1983] A selection method to select the best property candidates from the search results,

[1984] a sending and responding means for sending the selected property candidates to the user as a response;

[1985] display means for displaying the information received by the user;

[1986] an emotion engine means for acquiring emotion information of a user and adjusting property candidates based on the information;

[1987] A system including:

[1988] (Claim 2)

[1989] 2. The system according to claim 1, further comprising a scoring means for assigning an evaluation score to the most suitable property candidate and sorting the properties in descending order of score.

[1990] (Claim 3)

[1991] 2. The system according to claim 1, further comprising a re-search means for allowing a user to input new additional conditions, to conduct a re-search based on the input conditions, and to re-select the most suitable property candidate.

[1992] "Application example 2 when combining emotion engines"

[1993] (Claim 1)

[1994] an input means for inputting family information and requirements from a user;

[1995] a validation means for validating the input information;

[1996] a transmitting means for transmitting the verified information to a server;

[1997] a search means in the server for searching a database based on the received information;

[1998] A selection method to select the best property candidates from the search results,

[1999] a sending and responding means for sending the selected property candidates to the user as a response;

[2000] display means for displaying the information received by the user;

[2001] emotion recognition means for acquiring emotion information of a user;

[2002] a score adjustment means for adjusting the property score based on the sentiment information;

[2003] A system including:

[2004] (Claim 2)

[2005] 2. The system according to claim 1, further comprising a scoring means for assigning an evaluation score to the most suitable property candidate and sorting the properties in descending order of score.

[2006] (Claim 3)

[2007] 2. The system according to claim 1, further comprising a re-search means for allowing a user to input new additional conditions, to conduct a re-search based on the input conditions, and to re-select the most suitable property candidate. [Explanation of symbols]

[2008] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. an input means for inputting family information and requirements from a user; a validation means for validating the input information; a transmitting means for transmitting the verified information to a server; a search means in the server for searching a database based on the received information; A selection method to select the best property candidates from the search results, a sending and responding means for sending the selected property candidates to the user as a response; display means for displaying the information received by the user; A system including:

2. 2. The system according to claim 1, further comprising scoring means for assigning an evaluation score to the most suitable property candidate and sorting the properties in descending order of score.

3. 2. The system according to claim 1, further comprising a re-search means for allowing a user to input new additional conditions, to conduct a re-search based on the new conditions, and to re-select the most suitable property candidate.

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