System

Abstract

A system is provided.SOLUTION: A system comprising: means for setting a predetermined condition by a user; means for searching an education institution information database based on the predetermined condition; means for displaying a search result; and means for comparing information of a plurality of education institutions.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Choosing a school is an important life decision, and gathering and comparing information can be extremely difficult. Finding the right educational institution is a major challenge, especially for families with children or people who have just moved to a new area. It takes time and effort to refer to many sources of information, understand the characteristics of each school, and compare them. Given this background, there is a need for an efficient and effective system that allows users to easily select the school that best suits their needs. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system including a means for a user to set predetermined conditions, a means for searching an educational institution information database based on the predetermined conditions, a means for displaying search results, and a means for comparing information on multiple educational institutions. The system further includes a means for providing detailed information on educational institutions based on the search results, and includes a means for the user to set conditions including location, tuition fees, academic fields, extracurricular activities, and reputation. Such a system allows users to efficiently browse information and select the educational institution that best suits their needs.

[0006] "User" refers to a person who uses the system to set predetermined criteria, search for and compare educational institutions.

[0007] "Predetermined conditions" are a set of criteria set by a user for searching for educational institutions, including location, tuition fees, academic fields, extracurricular activities, reputation, etc.

[0008] An "educational institution information database" refers to a database that comprehensively collects and stores data on multiple educational institutions.

[0009] "Searching means" refers to a function that queries the educational institution information database based on predetermined conditions set by the user and retrieves data on the relevant educational institution.

[0010] "Search Results" refers to a list of educational institutions and related information that meet the specified criteria set by the user.

[0011] "Display means" refers to a user interface for visually displaying the obtained search results on the user's terminal.

[0012] "Means for providing detailed information" refers to a function that provides users with detailed information such as program content, campus facilities, and employment rates of graduates in addition to basic information about the educational institution.

[0013] "Comparison means" refers to a function that displays information on multiple educational institutions in a list, allowing users to visually compare their respective features, advantages, and disadvantages.

[0014] "Location" refers to the physical location or geographic area of ​​an educational institution.

[0015] "Tuition" refers to the cost of studying at an educational institution.

[0016] "Discipline" refers to the specialized area of ​​educational program offered at an educational institution.

[0017] "Club activities" refers to club activities that are part of extracurricular activities offered at educational institutions.

[0018] "Reputation" refers to the social evaluation and ranking of an educational institution. [Brief explanation of the drawings]

[0019] [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

[0020] 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.

[0021] First, the terms used in the following description will be explained.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 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.

[0030] 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).

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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."

[0040] This invention describes a specific embodiment of a system for users to search and compare educational institutions, which filters educational institution information based on user-specified criteria, displays the results, and provides detailed information and comparison functions.

[0041] Condition setting

[0042] When a user launches the application, a search criteria screen appears, where the user can enter specific criteria such as location, tuition fees, academic field, club activities, and reputation. This operation finalizes the criteria.

[0043] Sending conditions to the server

[0044] The device converts the conditions set by the user into JSON format and sends it to the server using an HTTP POST request.

[0045] Search educational institution information databases

[0046] The server analyzes the received conditions and generates an SQL query based on them. The server uses this SQL query to search the educational institution information database. For example, the server searches for educational institutions that meet the conditions "located in Tokyo, tuition fees under 500,000 yen, academic fields of science and engineering, club activities including soccer, and reputations within the top 50%."

[0047] Sending search results from the server to the device

[0048] The server converts the search results into JSON format and sends it to the device, which then returns a list of educational institutions that match the search criteria.

[0049] Displaying search results

[0050] The device displays the search results received from the server to the user. A list of educational institutions is displayed on the screen, including basic information about each school (e.g., school name, location, tuition fees, academic fields, club activities, reputation, etc.).

[0051] Viewing detailed information

[0052] When a user wants to view detailed information about an educational institution they are interested in, they tap on the school. The device accesses the selected institution's detailed information URL and sends a request to the server. The server returns detailed information about the institution, which the device displays on the screen. This information includes program content, campus facilities, and graduate employment rates.

[0053] Compare multiple educational institutions

[0054] When a user wants to compare multiple educational institutions, they select the schools they want to compare and press the "Compare" button. The device then displays information about the selected educational institutions in a comparison table. For example, it displays information about Tokyo University of Science and Technology and Tokyo Soccer College side by side, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0055] The system allows users to quickly and efficiently find the educational institution that best suits their needs, and the detailed information and comparison functions make it easy to gather information and make the right decision.

[0056] The processing flow will be explained below.

[0057] Step 1:

[0058] A user launches the app and proceeds to the school search screen, where they enter search criteria such as location, tuition fees, academic fields, club activities, and reputation.

[0059] Step 2:

[0060] The user confirms the conditions set and presses the search button, which causes the device to collect the user's input.

[0061] Step 3:

[0062] The device converts the collected search criteria into JSON format request data and sends an HTTP POST request to a specific endpoint on the server. Example: POST / search-schools HTTP / 1.1

[0063] Step 4:

[0064] The server receives the request, parses the JSON data, and extracts each of the criteria entered by the user (location, tuition fees, academic field, clubs, and reputation).

[0065] Step 5:

[0066] The server generates a SQL query based on the extracted conditions, for example:

[0067] sql

[0068] SELECT FROM schools

[0069] WHERE location = 'Tokyo'

[0070] AND tuition <= 50

[0071] AND 'Science and Engineering' = ANY(academic_fields)

[0072] AND 'soccer club' = ANY(clubs)

[0073] AND ranking <= 50;

[0074] Step 6:

[0075] The server queries the database to obtain a list of educational institutions that match the criteria.

[0076] Step 7:

[0077] The server converts the list of educational institutions it has obtained into JSON format and sends it to the terminal as an HTTP response.

[0078] Step 8:

[0079] The terminal analyzes the received response data and extracts a list of educational institutions.

[0080] Step 9:

[0081] The device displays a list of educational institutions on a user interface, including information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation.

[0082] Step 10:

[0083] When a user wants to view detailed information about a particular educational institution, they select and tap the institution. The device accesses the URL for the detailed information and sends a request to the server.

[0084] Step 11:

[0085] The server receives the detailed information request and retrieves the details of the relevant educational institution from the database.

[0086] Step 12:

[0087] The server converts the obtained detailed information into JSON format and returns it to the terminal.

[0088] Step 13:

[0089] The device displays the received detailed information on a user interface, including program content, campus facilities, and graduate employment rates.

[0090] Step 14:

[0091] If the user wants to compare multiple educational institutions, he or she selects multiple schools and presses the "Compare" button. The terminal displays information on the selected educational institutions in a comparison table format.

[0092] Step 15:

[0093] The device displays a comparison table, allowing users to visually see the characteristics, advantages, and disadvantages of each educational institution.

[0094] Example 1

[0095] 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."

[0096] Conventional educational facility search systems have had the problem of making it difficult for users to find educational facilities that meet their desired criteria. In addition, they lacked the functionality to obtain detailed information from search results or compare multiple educational facilities, making it extremely time-consuming for users to gather information to make the right decision.

[0097] 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.

[0098] In this invention, the server includes a means for a user to set predetermined conditions, a means for searching the educational facility information database based on the predetermined conditions, a means for displaying the search results, a means for comparing information on multiple educational facilities, and a means for receiving a detailed information request from the user and providing detailed information on the relevant educational facility. This allows the user to quickly and efficiently find an educational facility that meets their needs. In addition, the provision of detailed information and the comparison function make it easier to gather information for making appropriate decisions.

[0099] "User" refers to a person who searches for educational facilities and sets conditions.

[0100] "Specified conditions" refer to search criteria such as location, cost, academic field, extracurricular activities, and ratings that a user sets when searching for educational facilities.

[0101] "Educational facility information database" refers to a database that stores information on each educational facility.

[0102] "Search results" refers to a list of educational facilities that meet the user's specified conditions, obtained as a result of the server searching the educational facility information database.

[0103] "Detailed information" refers to basic information about educational facilities, as well as more detailed information such as program content, campus facilities, and graduate employment rates.

[0104] A "comparison table" is a display format that allows users to select multiple educational facilities and compare them based on items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0105] "Server" refers to a computer system that searches an educational facility information database based on conditions set by the user and provides the user with search results and detailed information.

[0106] "Terminal" refers to a device on which a user sets conditions and views search results and detailed information.

[0107] "HTTP POST request" refers to part of the communication protocol for sending data to a server.

[0108] (Note) These definitions are provided to aid in the detailed understanding of the present invention, and similar terms may be used in other documents or patents with different meanings.

[0109] This invention relates to a system that allows users to search and compare educational facilities, filters educational facility information based on user-specified criteria, displays the results, and provides detailed information and comparison functions.

[0110] When a user launches the application, a search criteria screen for educational facilities is displayed. On this screen, the user enters specific criteria, such as location, cost, academic field, extracurricular activities, and ratings. Once the user sets the criteria, the device converts them into JSON format and sends them to the server using an HTTP POST request. The server analyzes the received criteria, generates an SQL query based on it, and searches the educational facility information database.

[0111] The search results are sent from the server to the device in JSON format, which the device parses and displays to the user. If the user wants to view detailed information about a particular educational facility, the user selects that facility and the device sends a request for detailed information to the server. The server returns detailed information about the relevant educational facility, and the device displays that information to the user.

[0112] Furthermore, if the user wishes to compare multiple educational facilities, the user can select the facilities to compare and press the "Compare" button, and the terminal will display information about the selected facilities as a comparison table.

[0113] For example, if a user sets the conditions "Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and engineering, Club activity: Soccer club, Rating: Top 50%," the system will search for educational facilities that meet the conditions and display the results. Furthermore, if a user wants to compare two facilities, such as "Tokyo University of Science and Technology" and "Tokyo Soccer College," the system will display the information side-by-side, allowing comparisons based on such items as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0114] An example of a prompt for a generative AI model is as follows:

[0115] "Please describe a system for searching educational facilities. If a user sets the following criteria, 'Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and Engineering, Club activity: Soccer club, Rating: Top 50%', please explain in detail how the system works."

[0116] This invention allows users to quickly and efficiently find educational facilities that meet their needs, and the detailed information and comparison features make it easier to gather information to make the right decision.

[0117] The hardware used includes a terminal (such as a smartphone or personal computer) for setting conditions and displaying results, and a server for searching the database and providing information.The software includes a user interface for displaying the condition setting screen, a program for converting data into JSON format, and a program for displaying search results and generating detailed information and comparison tables.

[0118] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0119] Step 1:

[0120] When a user launches the educational facility search application, a condition setting screen is displayed. On this screen, the user enters the specified conditions (location, cost, academic field, club activities, evaluation, etc.). For example, the user can set conditions such as "Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and Engineering, Club activities: Soccer club, Evaluation: Within the top 50%."

[0121] Input: User inputs the conditions

[0122] Output: Set conditions

[0123] Step 2:

[0124] The device converts the conditions set by the user into JSON format. Then, it sends the JSON data to the server using an HTTP POST request. The converted JSON data has the following format, for example:

[0125] json

[0126] {"location": "Tokyo", "tuition_fee": 500000, "field_of_study": "Science and Engineering", "club": "Soccer Club", "reputation": "Top 50%"}

[0127] Input: Conditions set by the user

[0128] Specific operation: The device converts the conditions into JSON format and sends it to the server via an HTTP POST request.

[0129] Output: JSON data sent to the server

[0130] Step 3:

[0131] The server analyzes the received JSON data and generates an SQL query based on the specified conditions. For example, the query generated is "SELECT FROM education_institutions WHERE location="Tokyo" AND tuition_fee <= 500000 AND field_of_study="Science and Engineering" AND club="Soccer Club" AND reputation_rank <= 50." The server uses this SQL query to search the educational facility information database.

[0132] Input: User-defined conditions sent as JSON data

[0133] Specific operation: The server analyzes the conditions, generates an SQL query, and performs a database search.

[0134] Output: Search result data

[0135] Step 4:

[0136] The server converts the search results into JSON format and sends it to the terminal as an HTTP response. For example, the following data is generated: {"institutions": [{"name": "Tokyo University of Science and Technology", "location": "Tokyo", "tuition_fee": 480000, "field_of_study": "Science and Engineering", "club": "Soccer Club", "reputation": "Top 30%"},...]}

[0137] Input: Database search result data

[0138] Specific operation: The server converts the search results into JSON format and sends it to the device as an HTTP response.

[0139] Output: JSON data of search results sent to the terminal

[0140] Step 5:

[0141] The device analyzes the received search results and displays them to the user. A list of educational facilities and their basic information (school name, location, tuition fees, academic field, club activities, ratings, etc.) is displayed to the user. For example, the following information may be displayed: "Tokyo University of Science and Technology, location: Tokyo, tuition fees: 480,000 yen, academic field: science and engineering, club activities: soccer club, rating: top 30%."

[0142] Input: JSON data of search results sent from the server

[0143] Specific behavior: The device parses the JSON data and displays the results to the user.

[0144] Output: A list of displayed search results

[0145] Step 6:

[0146] When a user wants to view detailed information about a particular educational institution, the user selects that institution. The device accesses the detailed information URL of the selected educational institution and sends a request for detailed information to the server. The server returns detailed information about the relevant educational institution, and the device displays that information to the user. The detailed information includes program content, campus facilities, and graduate employment rates.

[0147] Input: ID or URL of the educational facility selected by the user

[0148] Specific operation: The device accesses the detailed information URL, sends a request to the server, and displays the returned information to the user.

[0149] Output: Detailed information about the educational facility displayed

[0150] Step 7:

[0151] When a user wants to compare multiple educational facilities, they first select the facility they want to compare and press the "Compare" button. The device then displays information about the selected facility in a comparison table. For example, a side-by-side comparison of items such as tuition fees, academic fields, campus facilities, and graduate employment rates for "Tokyo Institute of Science and Technology" and "Tokyo Soccer University" is displayed.

[0152] Input: User-selected IDs or URLs of multiple educational facilities

[0153] Specific operation: The device displays information about the selected facility as a comparison table.

[0154] Output: A comparison table of educational facilities displayed

[0155] The system allows users to quickly and efficiently find educational facilities that meet their needs, and the detailed information and comparison functions make it easier to gather information to make the right decision.

[0156] (Application example 1)

[0157] 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."

[0158] When selecting an educational institution, users need to collect and compare a lot of information. In particular, not only basic information about the institution but also video content about campus tours and educational programs are important evaluation materials, but there is no system that provides all of this information on a single platform. As a result, users have to search multiple sources individually, which is a time-consuming and labor-intensive task.

[0159] 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.

[0160] In this invention, the server includes a means for allowing a user to set predetermined conditions, a means for searching the educational institution information database based on the predetermined conditions, a means for displaying search results, a means for comparing information on multiple educational institutions, and a means for providing video content, thereby enabling users to efficiently collect information on educational institutions on a single platform and make detailed comparisons and evaluations.

[0161] "User" means any individual or entity that uses the System to search, browse, and compare educational institution information.

[0162] "Specified conditions" are certain criteria that a user sets when searching for an educational institution, and specifically include location, tuition fees, academic field, extracurricular activities, reputation, and the like.

[0163] The "educational institution information database" is a database that stores information about educational institutions, and is a target that can be searched based on conditions set by the user.

[0164] The "search results" are a list of educational institutions extracted from the educational institution information database based on predetermined conditions set by the user.

[0165] "Comparison" means comparing information on multiple educational institutions, and is a means for users to select the most suitable educational institution.

[0166] "Video content" refers to video information about campus tours and educational programs that visually convey the characteristics of the educational institution.

[0167] The "Platform" is a centralized system environment that allows users to search, view, and compare educational institution information.

[0168] A system embodying the present invention provides an efficient way for users to search and compare educational institutions. Specific embodiments are described below.

[0169] System Configuration

[0170] 1. User Device:

[0171] Using a mobile device such as a smartphone or tablet, search for educational institutions and set filters from this device.

[0172] When the application is launched, a condition setting screen appears, and the user enters specified conditions such as location, tuition fees, academic field, club activities, and reputation.

[0173] 2. Server:

[0174] The database server stores an "educational institution information database."

[0175] The server application converts the conditions sent by the user into an SQL query and searches the database.

[0176] The server sends the search results to the user's terminal in JSON format.

[0177] 3. Data processing and display:

[0178] The user device displays the received search results on the screen. Basic information about the educational institution (e.g., school name, location, tuition fees, academic fields, club activities, reputation, etc.) is displayed in list format.

[0179] Provides the ability to watch video content, allowing users to watch videos about educational institutions' campus tours and educational programs.

[0180] Function details

[0181] Condition settings:

[0182] When a user launches the application, a search criteria screen appears, where the user can enter specific criteria such as location, tuition fees, academic field, extracurricular activities, reputation, etc. The entered criteria are converted into JSON format and sent to the server.

[0183] Sending conditions to the server:

[0184] The device converts the conditions set by the user into JSON format and sends it to the server using an HTTP POST request.

[0185] Search educational institution information databases:

[0186] The server analyzes the received conditions and generates an SQL query based on them. The server uses this SQL query to search the educational institution information database. For example, the server searches for educational institutions that meet the conditions "located in Tokyo, tuition fees under 500,000 yen, academic fields of science and engineering, club activities including soccer, and reputations within the top 50%."

[0187] Sending search results from the server to your device:

[0188] The server converts the search results into JSON format and sends it to the device, which then returns a list of educational institutions that match the search criteria.

[0189] Displaying search results:

[0190] The device displays the search results received from the server to the user. A list of educational institutions is displayed on the screen, including basic information about each school. There is also a function to play video content, allowing the user to visually understand the characteristics of each educational institution.

[0191] View more information:

[0192] When a user wants to view detailed information about an educational institution they are interested in, they tap on the school. The device accesses the selected institution's detailed information URL and sends a request to the server. The server returns detailed information about the institution, which the device displays on the screen. This information includes program content, campus facilities, and graduate employment rates.

[0193] Compare multiple institutions:

[0194] If a user wants to compare multiple educational institutions, they select the schools they want to compare and press the "Compare" button. The device will then display information about the selected educational institutions in a comparison table. For example, the device may display information about two educational institutions side by side, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0195] Examples of concrete examples and prompts

[0196] Examples:

[0197] User Scenario: A user wants to find institutions that meet specific criteria, view detailed information and video content, and compare multiple institutions.

[0198] Example prompt sentence:

[0199] "Please tell me a highly rated educational institution in Tokyo where tuition is under 500,000 yen, I can major in science and engineering, and they have a soccer club."

[0200] This system allows users to efficiently collect information on educational institutions on a single platform, enabling detailed comparisons and evaluations.

[0201] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0202] Step 1:

[0203] The user starts the application and accesses the condition setting screen.

[0204] Input: User-specified criteria such as location, tuition fees, academic field, clubs, reputation, etc.

[0205] Action: The user enters search criteria into the input form and presses the search button.

[0206] Output: The user's device converts the input conditions into JSON format.

[0207] Step 2:

[0208] The terminal sends the conditions to the server.

[0209] Input: The JSON formatted criteria data generated in step 1.

[0210] How it works: The device sends the condition data to the server using an HTTP POST request.

[0211] Output: The server receives the received JSON data.

[0212] Step 3:

[0213] The server searches the educational institution information database based on the criteria.

[0214] Input: The criteria data received in step 2 in JSON format.

[0215] How it works: The server parses the JSON data, generates a SQL query based on it, and searches the database.

[0216] Output: Generates a search result in JSON format for institutions that match the criteria.

[0217] Step 4:

[0218] The server returns the search results to the terminal.

[0219] Input: The search results in JSON format generated in Step 3.

[0220] Operation: The server sends the search results to the device in an HTTP response.

[0221] Output: The device receives the search results in JSON format.

[0222] Step 5:

[0223] The terminal displays the search results to the user.

[0224] Input: The search results received in step 4 in JSON format.

[0225] Behavior: The device parses the received JSON data and displays a list of educational institutions on the screen.

[0226] Output: The user sees a list with basic information about the institution.

[0227] Step 6:

[0228] A user requests details about a specific institution.

[0229] Enter: The action of a user selecting a specific institution from a list and requesting more information.

[0230] How it works: The device accesses the selected educational institution's details URL and sends a request to the server.

[0231] Output: The server generates a JSON data file containing the institution details.

[0232] Step 7:

[0233] The server returns the details to the terminal.

[0234] Input: JSON data of the institution details generated in step 6.

[0235] How it works: The server sends detailed information to the device in an HTTP response.

[0236] Output: The device receives detailed information in JSON format.

[0237] Step 8:

[0238] The terminal displays the detailed information to the user.

[0239] Input: JSON data of the detailed information received in Step 7.

[0240] Operation: The device parses the received JSON data and displays the detailed information on the screen.

[0241] Output: User sees detailed information about the institution (programs offered, campus facilities, graduate employment rate, etc.).

[0242] Step 9:

[0243] Users compare multiple institutions.

[0244] Input: The user selects schools from a list to compare and presses the "Compare" button.

[0245] Operation: The device sends information about the selected educational institution to the server and requests the generation of a comparison table.

[0246] Output: The server generates a JSON data file containing details of comparable institutions.

[0247] Step 10:

[0248] The server transmits the comparison information to the terminal.

[0249] Input: The JSON data of the educational institution comparison information generated in step 9.

[0250] Operation: The server sends the comparison information to the device in an HTTP response.

[0251] Output: The device receives the comparison information in JSON format.

[0252] Step 11:

[0253] The terminal displays the comparison information to the user.

[0254] Input: The comparison information JSON data received in Step 10.

[0255] Operation: The device parses the received JSON data and displays a comparison table of educational institutions on the screen.

[0256] Output: Users can compare multiple institutions by viewing a comparison table, which helps users to choose the best institution.

[0257] 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.

[0258] In this invention, we will explain a specific embodiment of an educational institution search system that combines an emotion engine that recognizes user emotions. This system provides functions such as user-set conditions, emotion recognition by the emotion engine, searching an educational institution information database, displaying search results, providing detailed information, and comparison.

[0259] Condition setting and emotion recognition

[0260] When a user launches the application, a school search screen and an emotion recognition interface are displayed. The user enters search criteria (e.g., location, tuition fees, academic field, club activities, reputation). At this time, the device uses sensors such as a camera and microphone to detect emotions from the user's facial expressions and voice, which are then analyzed by the emotion engine.

[0261] Sending condition and emotion data to the server

[0262] The device converts the search criteria entered by the user and the emotion data obtained from the emotion engine into JSON-formatted request data and sends it to the server using an HTTP POST request.

[0263] Search educational institution information databases

[0264] The server analyzes the received condition information and emotion data. To search the educational institution information database, the server generates an SQL query. This query is adjusted based on the user's emotion recognition results to prioritize the display of educational institutions that the user finds more favorable.

[0265] Sending search results from the server to the device

[0266] The server converts the adjusted search results into JSON format and sends it to the device as an HTTP response, which returns a list of educational institutions that match the user's criteria and sentiment.

[0267] Displaying search results

[0268] The device analyzes the search results received from the server and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation, and the priority is adjusted based on the user's sentiment.

[0269] Viewing detailed information

[0270] When a user wants to view detailed information about a particular educational institution, they tap on the school. The device accesses the URL for the details and sends a request to the server. The server returns the details of the institution, which the device displays. The details include program content, campus facilities, and graduate employment rates.

[0271] Compare multiple educational institutions

[0272] If a user wants to compare multiple educational institutions, they can select multiple schools and press the "Compare" button. The device will then display information about the selected institutions in a comparison table, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates. The emotion engine may highlight items that are of particular interest to the user.

[0273] The system allows users to quickly and efficiently find educational institutions that fit their needs and emotions. Emotion recognition and adaptive search results make it easier to gather information and make better decisions.

[0274] Specific examples

[0275] For example, if a user sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%" and the emotion engine senses the user's joy, the server will display educational institutions that meet these conditions and that the user finds favorable at the top of the list. Similarly, if a user compares Tokyo University of Science and Technology with Tokyo Soccer College, the device will display information about these schools side by side, highlighting information that the user is likely to find particularly interesting based on the emotion engine.

[0276] The processing flow will be explained below.

[0277] Step 1:

[0278] The user launches the app and proceeds to the school search screen. Here, the user enters search criteria such as location, tuition fees, academic field, club activities, and reputation. At this time, the device's emotion engine uses the camera and microphone to capture the user's facial expressions and voice.

[0279] Step 2:

[0280] The emotion engine analyzes the user's facial expressions and voice data to identify the user's emotional state (e.g., joy, surprise, sadness, etc.), and generates digital data representing the user's current emotions.

[0281] Step 3:

[0282] After the user confirms the search conditions set by the user and presses the search button, the device collects the user's input and emotional data.

[0283] Step 4:

[0284] The device converts the collected search criteria and emotion data into JSON format request data and sends an HTTP POST request to a specific endpoint on the server. Example: POST / search-schools HTTP / 1.1

[0285] Step 5:

[0286] The server receives the request, parses the JSON data, and extracts each condition entered by the user (location, tuition fees, academic field, club activities, reputation) and sentiment data.

[0287] Step 6:

[0288] The server generates an SQL query based on the extracted conditions and emotion data. For example, the server adjusts the selection of educational institutions that match the conditions to prioritize those that the user finds more favorable based on the emotion data.

[0289] Step 7:

[0290] The server uses the generated SQL query to search the educational institution information database and obtain a list of educational institutions that match the criteria. This list is prioritized based on the emotion data.

[0291] Step 8:

[0292] The server converts the list of educational institutions into JSON format and sends it to the device as an HTTP response, which returns a list of educational institutions that match the user's conditions and emotions.

[0293] Step 9:

[0294] The device analyzes the received response data and displays a list of educational institutions on the user interface, including information such as school name, location, tuition fees, academic fields, extracurricular activities, and reputation, with priority adjusted based on emotion data.

[0295] Step 10:

[0296] When a user wants to view detailed information about a particular educational institution, they select and tap the school. The device accesses the URL for the detailed information and sends a request to the server.

[0297] Step 11:

[0298] The server receives the request for more information and retrieves details about the relevant institution from its database, including program offerings, campus facilities, and graduate employment rates.

[0299] Step 12:

[0300] The server converts the obtained detailed information into JSON format and returns it to the terminal.

[0301] Step 13:

[0302] The device displays the received detailed information on a user interface, including program content, campus facilities, and graduate employment rates.

[0303] Step 14:

[0304] If the user wants to compare multiple educational institutions, he or she selects multiple schools and presses the "Compare" button. The terminal displays information on the selected educational institutions in a comparison table format.

[0305] Step 15:

[0306] The device displays a comparison table, allowing users to visually review the characteristics, advantages, and disadvantages of each institution. An emotion engine may highlight items that are of particular interest to the user.

[0307] As a specific example, if a user sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%," and the emotion engine senses the user's joy, the server will display educational institutions that meet these conditions and that the user finds favorable at the top of the list. Similarly, if a user compares Tokyo University of Science and Technology with Tokyo Soccer College, the device will display information about these schools side by side, highlighting information that is likely to be of particular interest to the user based on the emotion engine.

[0308] Example 2

[0309] 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."

[0310] Conventional educational institution search systems only present search results based on user-specified criteria and are unable to reflect the user's individual emotions and feelings. This makes it difficult for users to find the educational institution that is truly suitable for them, and makes it difficult to efficiently gather information and make selections. Furthermore, when comparing detailed information on multiple educational institutions, it is not possible to consider priorities based on the user's emotions. This leads to issues such as reduced user satisfaction and reduced decision-making efficiency.

[0311] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing a user's emotion, a means for adjusting search results based on the recognized emotion, a means for transmitting the recognized emotion data to the server and analyzing it together with condition information, and a means for searching an educational institution information database. This makes it possible to search for and suggest more appropriate educational institutions while taking the user's emotion into consideration. Furthermore, when comparing information on multiple educational institutions, the comparison can be made while reflecting priorities based on the user's emotion, thereby improving the efficiency and satisfaction of decision-making.

[0312] "User" refers to an individual who uses the System to search for and view information about educational institutions.

[0313] The "predetermined conditions" are elements set by the user when searching for educational institutions, and specifically include location, tuition fees, academic fields, extracurricular activities, reputation, and the like.

[0314] "Emotion" refers to the user's feelings recognized by the emotion engine from the user's facial expressions and voice.

[0315] An "emotion engine" refers to software that analyzes a user's facial expressions and voice data to recognize their emotions.

[0316] An "educational institution information database" refers to a collection of data that centrally manages information about educational institutions and stores it in a searchable format.

[0317] "Search Results" refers to a list of educational institutions extracted from the educational institution information database based on the criteria and perceived sentiment set by the user.

[0318] "Server" refers to a computer that processes request data from users, searches the educational institution information database, and sends the results to the terminal.

[0319] "Terminal" refers to a device that a user can operate and communicate with a server to search for educational institutions and view detailed information.

[0320] "Comparison table format" refers to a display method that presents information on multiple educational institutions in a side-by-side table format that is easy for users to understand.

[0321] This invention relates to an educational institution search system that combines an emotion engine that recognizes user emotions. This system searches an educational institution information database using conditions set by the user and emotion data recognized by the emotion engine, and provides the user with information on the most suitable educational institution.

[0322] When a user launches the application, the device displays a school search screen and an emotion recognition interface. The user enters search criteria such as location, tuition fees, academic field, extracurricular activities, and reputation. While collecting the entered criteria, the device also uses a camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this data and recognizes the user's emotions. For example, if the user smiles while entering the criteria, the emotion engine recognizes this as "joy."

[0323] The device combines the user-entered criteria with the emotion data obtained from the emotion engine, converts this into JSON-formatted request data, and sends it to the server using an HTTP POST request. The server then analyzes the received request data, generates an SQL query, and searches the educational institution information database. The search results are adjusted based on the user's emotions, prioritizing the display of more suitable educational institutions.

[0324] The server converts the search results into JSON format and sends it to the device as an HTTP response. The device receives and parses this, and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation. If the user wants to view detailed information about a particular educational institution, the device taps on the school, accesses the URL for detailed information, and sends a request to the server. The server returns detailed information about the relevant educational institution, and the device displays that information.

[0325] If the user wants to compare multiple educational institutions, the device will display information on the selected educational institutions in a comparison table format. The emotion engine may highlight items that are of particular interest to the user.

[0326] For example, if a user launches the application and sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%," the device will use the camera and microphone to sense the user's enthusiasm. The server will then display educational institutions that match these conditions and that the user finds most appealing at the top of the list.

[0327] Additionally, if a user wants to compare Tokyo Institute of Technology with other educational institutions, the device will display information about those schools side by side and, using an emotion engine, highlight information that the user is particularly interested in. For example, by inputting a prompt such as "I want to find a reputable educational institution with annual tuition fees of less than 500,000 yen" into the generative AI model, it can provide more detailed search results and options.

[0328] The system allows users to quickly and efficiently find educational institutions that fit their needs and emotions. Emotion recognition and adaptive search results make it easier to gather information and make better decisions.

[0329] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0330] Step 1: Launch the application and set conditions

[0331] When a user launches the application, the device displays a school search screen and an emotion recognition interface. The user enters search criteria such as location, tuition fees, academic field, club activities, and reputation. For example, the user enters "Tokyo," "under 500,000 yen per year," "science and engineering," "soccer club," and "top 50%." The entered data is saved on the device.

[0332] Step 2: Recognize emotions

[0333] The device uses a camera and microphone to collect the user's facial expressions and voice. The collected data is sent to the emotion engine, which analyzes the user's emotions. For example, if the user smiles while entering a condition, the emotion engine recognizes this as "joy." The analysis results are stored on the device as emotion data.

[0334] Step 3: Sending conditions and emotion data to the server

[0335] The device combines the search criteria entered by the user with the emotion data obtained from the emotion engine and converts it into JSON-formatted request data. This request data is sent to the server via an HTTP POST request. The inputs are the search criteria and emotion data, and the output is JSON-formatted request data.

[0336] Step 4: Search educational institution databases

[0337] The server analyzes the received request data. Based on the analyzed condition information and emotion data, the server generates an SQL query to search the educational institution information database. The input is the request data, and the output is a list of search results. The search results are adjusted based on the emotion data. For example, if the user is feeling "joyed," educational institutions with more positive reviews will be prioritized.

[0338] Step 5: Sending search results from the server to the device

[0339] The server converts the adjusted search results into JSON format and sends it to the terminal as an HTTP response. The input is the adjusted search result list, and the output is the JSON format response data. This returns to the terminal a list of educational institutions that match the user's conditions and sentiment.

[0340] Step 6: Viewing search results

[0341] The device analyzes the search results received from the server and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation. The list is displayed with the priority adjusted based on the user's emotions. For example, if a user expresses joy, schools with high positive ratings will be displayed at the top.

[0342] Step 7: Viewing detailed information

[0343] If a user wants to view detailed information about a particular educational institution, they tap on that school. The device accesses the URL for the detailed information and sends a request to the server. The server returns detailed information about the relevant educational institution, and the device displays that information. The input is the information about the school the user tapped on, and the output is the detailed information displayed. For example, detailed information about Tokyo University of Science and Technology displays program content, campus facilities, and the employment rate of graduates.

[0344] Step 8: Compare multiple institutions

[0345] If a user wants to compare multiple educational institutions, they select multiple schools and press the "Compare" button. The device then displays information about the selected educational institutions in a comparison table format. The input is the school information selected by the user, and the output is a comparison table display. Items such as tuition fees, academic fields, campus facilities, and graduate employment rates are displayed side by side. In addition, an emotion engine may highlight items that are of particular interest to the user.

[0346] (Application example 2)

[0347] 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."

[0348] Conventional educational institution search systems do not recommend educational institutions based on the user's individual emotional state or preferences, and it takes a lot of time and effort to find the most suitable educational institution. Furthermore, they lack the functionality to provide adaptive search results that take into account the user's search criteria and emotions. This has led to the issue that users are less satisfied with their selections.

[0349] The identification process by the identification 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 means for the user to set predetermined conditions, means including an emotion engine that recognizes the user's emotions, means for searching the educational institution information database based on the predetermined conditions and the emotion recognition results, means for displaying the search results, and means for comparing information on multiple educational institutions. This makes it possible to efficiently find the educational institution that best matches the user's emotions and the set conditions.

[0350] "User" refers to an individual or entity that uses the system.

[0351] The "predetermined conditions" refer to various conditions set by the user to narrow down the search targets.

[0352] "Emotion engine" refers to software or hardware for recognizing and analyzing a user's emotions.

[0353] "Educational institution information database" refers to data storage for storing various information related to educational institutions.

[0354] "Search" refers to the process of retrieving relevant information from a database based on predetermined conditions and emotion recognition results.

[0355] "Display" refers to a means for visually showing the information obtained as a result of a search to the user.

[0356] "Comparison" refers to the process of juxtaposing information about multiple educational institutions with each other, allowing users to easily understand the characteristics of each educational institution.

[0357] "Detailed Information" refers to additional information about an educational institution beyond basic information.

[0358] "Location" refers to the physical location or geographical location of an educational institution.

[0359] "Tuition" refers to the cost of studying at an educational institution.

[0360] "Discipline" refers to the field of education or research offered by an educational institution.

[0361] "Club activities" refers to extracurricular activities and club activities at educational institutions.

[0362] "Reputation" refers to the social perception and evaluation of an educational institution.

[0363] A "server" refers to a computer system that processes data and provides information over a network.

[0364] A "database" refers to a data management system that structures and stores data, allowing it to be searched and manipulated efficiently.

[0365] This invention provides a system that allows users to search, compare, and display educational institutions using search criteria and emotions.As an application example of this invention, we will specifically explain a personalized shopping experience system using emotion recognition in a virtual store.

[0366] Hardware and Software Configuration

[0367] This system uses devices such as smartphones or head-mounted displays. The following hardware and software are installed on these devices:

[0368] Hardware: Video capture devices such as smartphone cameras and webcams.

[0369] Software: OpenCV, EmotionEngine library, HTTP communication library (requests), etc.

[0370] Step 1: Recognizing user emotions

[0371] The device uses a camera to capture the user's facial expressions, and the EmotionEngine library analyzes this video data to recognize the user's emotions (happiness, sadness, surprise, etc.).

[0372] Step 2: Condition Setting Interface

[0373] The user inputs search criteria such as the product category, price range, and brand he or she wishes to purchase through the terminal interface.

[0374] Step 3: Send data

[0375] The search criteria and emotion recognition results set by the user are converted into JSON format data and sent to the server as an HTTP POST request.

[0376] Step 4: Search the database

[0377] The server analyzes the received search criteria and emotion data. Similar to searching the educational institution information database, the server generates an SQL query to prioritize the display of products that the user prefers based on the emotion recognition results.

[0378] Step 5: Submit and view search results

[0379] The server returns the search results in JSON format to the device, which parses them and displays them visually to the user. Products that best match the user's input criteria and sentiment are displayed at the top of the list.

[0380] Step 6: View and compare details

[0381] When a user wants to get more information about a particular product, they tap on the product, which sends a request for more information to the server. The server returns the details, which the device displays. It is also possible to select multiple products and display their information in a comparison table format.

[0382] Specific examples

[0383] For example, if a user sets "furniture," "5,000 to 10,000 yen," and "natural taste" as search criteria and the emotion engine detects the user's joy, the system will display products that best match these criteria and that the user finds appealing at the top of the list. Furthermore, if a user wants to view detailed information about a specific product, they can tap on the product to display the detailed information.

[0384] Prompt Sentence Examples

[0385] "Please tell us the category of products you would like to purchase. Furniture, home appliances, fashion, accessories, etc."

[0386] "What is your desired price range? Example: 5,000 to 10,000 yen."

[0387] Please let me know if there are any brands you particularly like.

[0388] In this way, users can get the best product information based on their emotions, enabling a shopping experience tailored to their individual needs and preferences.

[0389] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0390] Step 1:

[0391] The user inputs search criteria such as the category, price range, brand, etc. of the desired product through the interface provided by the terminal. At this time, the input data is temporarily stored in the terminal.

[0392] Step 2:

[0393] The device's camera is used to capture the user's facial expressions. The EmotionEngine library analyzes the captured facial expressions and recognizes the user's emotions (e.g., joy, sadness, surprise, etc.). The input is the captured facial image, and the output is the recognized emotion data.

[0394] Step 3:

[0395] The device converts the search criteria entered by the user and the emotion data recognized by the Emotion Engine into request data in JSON format. This request data is sent to the server, where the image data taken by the camera is structured as emotion information.

[0396] Step 4:

[0397] The server analyzes the received request data and extracts search criteria and emotion data. The input is JSON format request data, and the output is search criteria and emotion data parameters.

[0398] Step 5:

[0399] The server searches the educational institution information database based on the search criteria and emotion data. The server generates SQL queries and adjusts them to prioritize the display of products that the user prefers based on the emotion recognition results. Here, the input is the criteria and emotion data, and the output is the search results.

[0400] Step 6:

[0401] The server converts the refined search results into JSON format and sends it to the terminal as an HTTP response. The input is the search result dataset, and the output is the JSON formatted response data.

[0402] Step 7:

[0403] The device analyzes the search results received from the server and visually displays them to the user. Products that best match the user's input criteria and sentiment are displayed at the top of the list. The input is the response data in JSON format, and the output is the product list displayed to the user.

[0404] Step 8:

[0405] When a user wants to get more information about a particular product, they tap on that product. The device sends a request for more information to the server. The input is the ID of the product that was tapped, and the output is a request for more information from the academic affairs management system.

[0406] Step 9:

[0407] The server retrieves the details of the relevant product from the database and sends them to the terminal. The input is the product ID and a request for detailed information, and the output is the detailed information in JSON format.

[0408] Step 10:

[0409] The terminal visually displays detailed information to the user. If the user selects multiple products, the information can be displayed in a comparison table format. In this case, the input is the data of multiple products, and the output is the display data in the comparison table format.

[0410] 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.

[0411] 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.

[0412] 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.

[0413] [Second embodiment]

[0414] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0415] 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.

[0416] 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).

[0417] 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.

[0418] 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.

[0419] 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).

[0420] 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.

[0421] 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.

[0422] 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.

[0423] 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.

[0424] 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.

[0425] 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."

[0426] This invention describes a specific embodiment of a system for users to search and compare educational institutions, which filters educational institution information based on user-specified criteria, displays the results, and provides detailed information and comparison functions.

[0427] Condition setting

[0428] When a user launches the application, a search criteria screen appears, where the user can enter specific criteria such as location, tuition fees, academic field, club activities, and reputation. This operation finalizes the criteria.

[0429] Sending conditions to the server

[0430] The device converts the conditions set by the user into JSON format and sends it to the server using an HTTP POST request.

[0431] Search educational institution information databases

[0432] The server analyzes the received conditions and generates an SQL query based on them. The server uses this SQL query to search the educational institution information database. For example, the server searches for educational institutions that meet the conditions "located in Tokyo, tuition fees under 500,000 yen, academic fields of science and engineering, club activities including soccer, and reputations within the top 50%."

[0433] Sending search results from the server to the device

[0434] The server converts the search results into JSON format and sends it to the device, which then returns a list of educational institutions that match the search criteria.

[0435] Displaying search results

[0436] The device displays the search results received from the server to the user. A list of educational institutions is displayed on the screen, including basic information about each school (e.g., school name, location, tuition fees, academic fields, club activities, reputation, etc.).

[0437] Viewing detailed information

[0438] When a user wants to view detailed information about an educational institution they are interested in, they tap on the school. The device accesses the selected institution's detailed information URL and sends a request to the server. The server returns detailed information about the institution, which the device displays on the screen. This information includes program content, campus facilities, and graduate employment rates.

[0439] Compare multiple educational institutions

[0440] When a user wants to compare multiple educational institutions, they select the schools they want to compare and press the "Compare" button. The device then displays information about the selected educational institutions in a comparison table. For example, it displays information about Tokyo University of Science and Technology and Tokyo Soccer College side by side, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0441] The system allows users to quickly and efficiently find the educational institution that best suits their needs, and the detailed information and comparison functions make it easy to gather information and make the right decision.

[0442] The processing flow will be explained below.

[0443] Step 1:

[0444] A user launches the app and proceeds to the school search screen, where they enter search criteria such as location, tuition fees, academic fields, club activities, and reputation.

[0445] Step 2:

[0446] The user confirms the conditions set and presses the search button, which causes the device to collect the user's input.

[0447] Step 3:

[0448] The device converts the collected search criteria into JSON format request data and sends an HTTP POST request to a specific endpoint on the server. Example: POST / search-schools HTTP / 1.1

[0449] Step 4:

[0450] The server receives the request, parses the JSON data, and extracts each of the criteria entered by the user (location, tuition fees, academic field, clubs, and reputation).

[0451] Step 5:

[0452] The server generates a SQL query based on the extracted conditions, for example:

[0453] sql

[0454] SELECT FROM schools

[0455] WHERE location = 'Tokyo'

[0456] AND tuition <= 50

[0457] AND 'Science and Engineering' = ANY(academic_fields)

[0458] AND 'soccer club' = ANY(clubs)

[0459] AND ranking <= 50;

[0460] Step 6:

[0461] The server queries the database to obtain a list of educational institutions that match the criteria.

[0462] Step 7:

[0463] The server converts the list of educational institutions it has obtained into JSON format and sends it to the terminal as an HTTP response.

[0464] Step 8:

[0465] The terminal analyzes the received response data and extracts a list of educational institutions.

[0466] Step 9:

[0467] The device displays a list of educational institutions on a user interface, including information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation.

[0468] Step 10:

[0469] When a user wants to view detailed information about a particular educational institution, they select and tap the institution. The device accesses the URL for the detailed information and sends a request to the server.

[0470] Step 11:

[0471] The server receives the detailed information request and retrieves the details of the relevant educational institution from the database.

[0472] Step 12:

[0473] The server converts the obtained detailed information into JSON format and returns it to the terminal.

[0474] Step 13:

[0475] The device displays the received detailed information on a user interface, including program content, campus facilities, and graduate employment rates.

[0476] Step 14:

[0477] If the user wants to compare multiple educational institutions, he or she selects multiple schools and presses the "Compare" button. The terminal displays information on the selected educational institutions in a comparison table format.

[0478] Step 15:

[0479] The device displays a comparison table, allowing users to visually see the characteristics, advantages, and disadvantages of each educational institution.

[0480] Example 1

[0481] 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."

[0482] Conventional educational facility search systems have had the problem of making it difficult for users to find educational facilities that meet their desired criteria. In addition, they lacked the functionality to obtain detailed information from search results or compare multiple educational facilities, making it extremely time-consuming for users to gather information to make the right decision.

[0483] 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.

[0484] In this invention, the server includes a means for a user to set predetermined conditions, a means for searching the educational facility information database based on the predetermined conditions, a means for displaying the search results, a means for comparing information on multiple educational facilities, and a means for receiving a detailed information request from the user and providing detailed information on the relevant educational facility. This allows the user to quickly and efficiently find an educational facility that meets their needs. In addition, the provision of detailed information and the comparison function make it easier to gather information for making appropriate decisions.

[0485] "User" refers to a person who searches for educational facilities and sets conditions.

[0486] "Specified conditions" refer to search criteria such as location, cost, academic field, extracurricular activities, and ratings that a user sets when searching for educational facilities.

[0487] "Educational facility information database" refers to a database that stores information on each educational facility.

[0488] "Search results" refers to a list of educational facilities that meet the user's specified conditions, obtained as a result of the server searching the educational facility information database.

[0489] "Detailed information" refers to basic information about educational facilities, as well as more detailed information such as program content, campus facilities, and graduate employment rates.

[0490] A "comparison table" is a display format that allows users to select multiple educational facilities and compare them based on items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0491] "Server" refers to a computer system that searches an educational facility information database based on conditions set by the user and provides the user with search results and detailed information.

[0492] "Terminal" refers to a device on which a user sets conditions and views search results and detailed information.

[0493] "HTTP POST request" refers to part of the communication protocol for sending data to a server.

[0494] (Note) These definitions are provided to aid in the detailed understanding of the present invention, and similar terms may be used in other documents or patents with different meanings.

[0495] This invention relates to a system that allows users to search and compare educational facilities, filters educational facility information based on user-specified criteria, displays the results, and provides detailed information and comparison functions.

[0496] When a user launches the application, a search criteria screen for educational facilities is displayed. On this screen, the user enters specific criteria, such as location, cost, academic field, extracurricular activities, and ratings. Once the user sets the criteria, the device converts them into JSON format and sends them to the server using an HTTP POST request. The server analyzes the received criteria, generates an SQL query based on it, and searches the educational facility information database.

[0497] The search results are sent from the server to the device in JSON format, which the device parses and displays to the user. If the user wants to view detailed information about a particular educational facility, the user selects that facility and the device sends a request for detailed information to the server. The server returns detailed information about the relevant educational facility, and the device displays that information to the user.

[0498] Furthermore, if the user wishes to compare multiple educational facilities, the user can select the facilities to compare and press the "Compare" button, and the terminal will display information about the selected facilities as a comparison table.

[0499] For example, if a user sets the conditions "Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and engineering, Club activity: Soccer club, Rating: Top 50%," the system will search for educational facilities that meet the conditions and display the results. Furthermore, if a user wants to compare two facilities, such as "Tokyo University of Science and Technology" and "Tokyo Soccer College," the system will display the information side-by-side, allowing comparisons based on such items as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0500] An example of a prompt for a generative AI model is as follows:

[0501] "Please describe a system for searching educational facilities. If a user sets the following criteria, 'Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and Engineering, Club activity: Soccer club, Rating: Top 50%', please explain in detail how the system works."

[0502] This invention allows users to quickly and efficiently find educational facilities that meet their needs, and the detailed information and comparison features make it easier to gather information to make the right decision.

[0503] The hardware used includes a terminal (such as a smartphone or personal computer) for setting conditions and displaying results, and a server for searching the database and providing information.The software includes a user interface for displaying the condition setting screen, a program for converting data into JSON format, and a program for displaying search results and generating detailed information and comparison tables.

[0504] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0505] Step 1:

[0506] When a user launches the educational facility search application, a condition setting screen is displayed. On this screen, the user enters the specified conditions (location, cost, academic field, club activities, evaluation, etc.). For example, the user can set conditions such as "Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and Engineering, Club activities: Soccer club, Evaluation: Within the top 50%."

[0507] Input: User inputs the conditions

[0508] Output: Set conditions

[0509] Step 2:

[0510] The device converts the conditions set by the user into JSON format. Then, it sends the JSON data to the server using an HTTP POST request. The converted JSON data has the following format, for example:

[0511] json

[0512] {"location": "Tokyo", "tuition_fee": 500000, "field_of_study": "Science and Engineering", "club": "Soccer Club", "reputation": "Top 50%"}

[0513] Input: Conditions set by the user

[0514] Specific operation: The device converts the conditions into JSON format and sends it to the server via an HTTP POST request.

[0515] Output: JSON data sent to the server

[0516] Step 3:

[0517] The server analyzes the received JSON data and generates an SQL query based on the specified conditions. For example, the query generated is "SELECT FROM education_institutions WHERE location="Tokyo" AND tuition_fee <= 500000 AND field_of_study="Science and Engineering" AND club="Soccer Club" AND reputation_rank <= 50." The server uses this SQL query to search the educational facility information database.

[0518] Input: User-defined conditions sent as JSON data

[0519] Specific operation: The server analyzes the conditions, generates an SQL query, and performs a database search.

[0520] Output: Search result data

[0521] Step 4:

[0522] The server converts the search results into JSON format and sends it to the terminal as an HTTP response. For example, the following data is generated: {"institutions": [{"name": "Tokyo University of Science and Technology", "location": "Tokyo", "tuition_fee": 480000, "field_of_study": "Science and Engineering", "club": "Soccer Club", "reputation": "Top 30%"},...]}

[0523] Input: Database search result data

[0524] Specific operation: The server converts the search results into JSON format and sends it to the device as an HTTP response.

[0525] Output: JSON data of search results sent to the terminal

[0526] Step 5:

[0527] The device analyzes the received search results and displays them to the user. A list of educational facilities and their basic information (school name, location, tuition fees, academic field, club activities, ratings, etc.) is displayed to the user. For example, the following information may be displayed: "Tokyo University of Science and Technology, location: Tokyo, tuition fees: 480,000 yen, academic field: science and engineering, club activities: soccer club, rating: top 30%."

[0528] Input: JSON data of search results sent from the server

[0529] Specific behavior: The device parses the JSON data and displays the results to the user.

[0530] Output: A list of displayed search results

[0531] Step 6:

[0532] When a user wants to view detailed information about a particular educational institution, the user selects that institution. The device accesses the detailed information URL of the selected educational institution and sends a request for detailed information to the server. The server returns detailed information about the relevant educational institution, and the device displays that information to the user. The detailed information includes program content, campus facilities, and graduate employment rates.

[0533] Input: ID or URL of the educational facility selected by the user

[0534] Specific operation: The device accesses the detailed information URL, sends a request to the server, and displays the returned information to the user.

[0535] Output: Detailed information about the educational facility displayed

[0536] Step 7:

[0537] When a user wants to compare multiple educational facilities, they first select the facility they want to compare and press the "Compare" button. The device then displays information about the selected facility in a comparison table. For example, a side-by-side comparison of items such as tuition fees, academic fields, campus facilities, and graduate employment rates for "Tokyo Institute of Science and Technology" and "Tokyo Soccer University" is displayed.

[0538] Input: User-selected IDs or URLs of multiple educational facilities

[0539] Specific operation: The device displays information about the selected facility as a comparison table.

[0540] Output: A comparison table of educational facilities displayed

[0541] The system allows users to quickly and efficiently find educational facilities that meet their needs, and the detailed information and comparison functions make it easier to gather information to make the right decision.

[0542] (Application example 1)

[0543] 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."

[0544] When selecting an educational institution, users need to collect and compare a lot of information. In particular, not only basic information about the institution but also video content about campus tours and educational programs are important evaluation materials, but there is no system that provides all of this information on a single platform. As a result, users have to search multiple sources individually, which is a time-consuming and labor-intensive task.

[0545] 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.

[0546] In this invention, the server includes a means for allowing a user to set predetermined conditions, a means for searching the educational institution information database based on the predetermined conditions, a means for displaying search results, a means for comparing information on multiple educational institutions, and a means for providing video content, thereby enabling users to efficiently collect information on educational institutions on a single platform and make detailed comparisons and evaluations.

[0547] "User" means any individual or entity that uses the System to search, browse, and compare educational institution information.

[0548] "Specified conditions" are certain criteria that a user sets when searching for an educational institution, and specifically include location, tuition fees, academic field, extracurricular activities, reputation, and the like.

[0549] The "educational institution information database" is a database that stores information about educational institutions, and is a target that can be searched based on conditions set by the user.

[0550] The "search results" are a list of educational institutions extracted from the educational institution information database based on predetermined conditions set by the user.

[0551] "Comparison" means comparing information on multiple educational institutions, and is a means for users to select the most suitable educational institution.

[0552] "Video content" refers to video information about campus tours and educational programs that visually convey the characteristics of the educational institution.

[0553] The "Platform" is a centralized system environment that allows users to search, view, and compare educational institution information.

[0554] A system embodying the present invention provides an efficient way for users to search and compare educational institutions. Specific embodiments are described below.

[0555] System Configuration

[0556] 1. User Device:

[0557] Using a mobile device such as a smartphone or tablet, search for educational institutions and set filters from this device.

[0558] When the application is launched, a condition setting screen appears, and the user enters specified conditions such as location, tuition fees, academic field, club activities, and reputation.

[0559] 2. Server:

[0560] The database server stores an "educational institution information database."

[0561] The server application converts the conditions sent by the user into an SQL query and searches the database.

[0562] The server sends the search results to the user's terminal in JSON format.

[0563] 3. Data processing and display:

[0564] The user device displays the received search results on the screen. Basic information about the educational institution (e.g., school name, location, tuition fees, academic fields, club activities, reputation, etc.) is displayed in list format.

[0565] Provides the ability to watch video content, allowing users to watch videos about educational institutions' campus tours and educational programs.

[0566] Function details

[0567] Condition settings:

[0568] When a user launches the application, a search criteria screen appears, where the user can enter specific criteria such as location, tuition fees, academic field, extracurricular activities, reputation, etc. The entered criteria are converted into JSON format and sent to the server.

[0569] Sending conditions to the server:

[0570] The device converts the conditions set by the user into JSON format and sends it to the server using an HTTP POST request.

[0571] Search educational institution information databases:

[0572] The server analyzes the received conditions and generates an SQL query based on them. The server uses this SQL query to search the educational institution information database. For example, the server searches for educational institutions that meet the conditions "located in Tokyo, tuition fees under 500,000 yen, academic fields of science and engineering, club activities including soccer, and reputations within the top 50%."

[0573] Sending search results from the server to your device:

[0574] The server converts the search results into JSON format and sends it to the device, which then returns a list of educational institutions that match the search criteria.

[0575] Displaying search results:

[0576] The device displays the search results received from the server to the user. A list of educational institutions is displayed on the screen, including basic information about each school. There is also a function to play video content, allowing the user to visually understand the characteristics of each educational institution.

[0577] View more information:

[0578] When a user wants to view detailed information about an educational institution they are interested in, they tap on the school. The device accesses the selected institution's detailed information URL and sends a request to the server. The server returns detailed information about the institution, which the device displays on the screen. This information includes program content, campus facilities, and graduate employment rates.

[0579] Compare multiple institutions:

[0580] If a user wants to compare multiple educational institutions, they select the schools they want to compare and press the "Compare" button. The device will then display information about the selected educational institutions in a comparison table. For example, the device may display information about two educational institutions side by side, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0581] Examples of concrete examples and prompts

[0582] Examples:

[0583] User Scenario: A user wants to find institutions that meet specific criteria, view detailed information and video content, and compare multiple institutions.

[0584] Example prompt sentence:

[0585] "Please tell me a highly rated educational institution in Tokyo where tuition is under 500,000 yen, I can major in science and engineering, and they have a soccer club."

[0586] This system allows users to efficiently collect information on educational institutions on a single platform, enabling detailed comparisons and evaluations.

[0587] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0588] Step 1:

[0589] The user starts the application and accesses the condition setting screen.

[0590] Input: User-specified criteria such as location, tuition fees, academic field, clubs, reputation, etc.

[0591] Action: The user enters search criteria into the input form and presses the search button.

[0592] Output: The user's device converts the input conditions into JSON format.

[0593] Step 2:

[0594] The terminal sends the conditions to the server.

[0595] Input: The JSON formatted criteria data generated in step 1.

[0596] How it works: The device sends the condition data to the server using an HTTP POST request.

[0597] Output: The server receives the received JSON data.

[0598] Step 3:

[0599] The server searches the educational institution information database based on the criteria.

[0600] Input: The criteria data received in step 2 in JSON format.

[0601] How it works: The server parses the JSON data, generates a SQL query based on it, and searches the database.

[0602] Output: Generates a search result in JSON format for institutions that match the criteria.

[0603] Step 4:

[0604] The server returns the search results to the terminal.

[0605] Input: The search results in JSON format generated in Step 3.

[0606] Operation: The server sends the search results to the device in an HTTP response.

[0607] Output: The device receives the search results in JSON format.

[0608] Step 5:

[0609] The terminal displays the search results to the user.

[0610] Input: The search results received in step 4 in JSON format.

[0611] Behavior: The device parses the received JSON data and displays a list of educational institutions on the screen.

[0612] Output: The user sees a list with basic information about the institution.

[0613] Step 6:

[0614] A user requests details about a specific institution.

[0615] Enter: The action of a user selecting a specific institution from a list and requesting more information.

[0616] How it works: The device accesses the selected educational institution's details URL and sends a request to the server.

[0617] Output: The server generates a JSON data file containing the institution details.

[0618] Step 7:

[0619] The server returns the details to the terminal.

[0620] Input: JSON data of the institution details generated in step 6.

[0621] How it works: The server sends detailed information to the device in an HTTP response.

[0622] Output: The device receives detailed information in JSON format.

[0623] Step 8:

[0624] The terminal displays the detailed information to the user.

[0625] Input: JSON data of the detailed information received in Step 7.

[0626] Operation: The device parses the received JSON data and displays the detailed information on the screen.

[0627] Output: User sees detailed information about the institution (programs offered, campus facilities, graduate employment rate, etc.).

[0628] Step 9:

[0629] Users compare multiple institutions.

[0630] Input: The user selects schools from a list to compare and presses the "Compare" button.

[0631] Operation: The device sends information about the selected educational institution to the server and requests the generation of a comparison table.

[0632] Output: The server generates a JSON data file containing details of comparable institutions.

[0633] Step 10:

[0634] The server transmits the comparison information to the terminal.

[0635] Input: The JSON data of the educational institution comparison information generated in step 9.

[0636] Operation: The server sends the comparison information to the device in an HTTP response.

[0637] Output: The device receives the comparison information in JSON format.

[0638] Step 11:

[0639] The terminal displays the comparison information to the user.

[0640] Input: The comparison information JSON data received in Step 10.

[0641] Operation: The device parses the received JSON data and displays a comparison table of educational institutions on the screen.

[0642] Output: Users can compare multiple institutions by viewing a comparison table, which helps users to choose the best institution.

[0643] 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.

[0644] In this invention, we will explain a specific embodiment of an educational institution search system that combines an emotion engine that recognizes user emotions. This system provides functions such as user-set conditions, emotion recognition by the emotion engine, searching an educational institution information database, displaying search results, providing detailed information, and comparison.

[0645] Condition setting and emotion recognition

[0646] When a user launches the application, a school search screen and an emotion recognition interface are displayed. The user enters search criteria (e.g., location, tuition fees, academic field, club activities, reputation). At this time, the device uses sensors such as a camera and microphone to detect emotions from the user's facial expressions and voice, which are then analyzed by the emotion engine.

[0647] Sending condition and emotion data to the server

[0648] The device converts the search criteria entered by the user and the emotion data obtained from the emotion engine into JSON-formatted request data and sends it to the server using an HTTP POST request.

[0649] Search educational institution information databases

[0650] The server analyzes the received condition information and emotion data. To search the educational institution information database, the server generates an SQL query. This query is adjusted based on the user's emotion recognition results to prioritize the display of educational institutions that the user finds more favorable.

[0651] Sending search results from the server to the device

[0652] The server converts the adjusted search results into JSON format and sends it to the device as an HTTP response, which returns a list of educational institutions that match the user's criteria and sentiment.

[0653] Displaying search results

[0654] The device analyzes the search results received from the server and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation, and the priority is adjusted based on the user's sentiment.

[0655] Viewing detailed information

[0656] When a user wants to view detailed information about a particular educational institution, they tap on the school. The device accesses the URL for the details and sends a request to the server. The server returns the details of the institution, which the device displays. The details include program content, campus facilities, and graduate employment rates.

[0657] Compare multiple educational institutions

[0658] If a user wants to compare multiple educational institutions, they can select multiple schools and press the "Compare" button. The device will then display information about the selected institutions in a comparison table, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates. The emotion engine may highlight items that are of particular interest to the user.

[0659] The system allows users to quickly and efficiently find educational institutions that fit their needs and emotions. Emotion recognition and adaptive search results make it easier to gather information and make better decisions.

[0660] Specific examples

[0661] For example, if a user sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%" and the emotion engine senses the user's joy, the server will display educational institutions that meet these conditions and that the user finds favorable at the top of the list. Similarly, if a user compares Tokyo University of Science and Technology with Tokyo Soccer College, the device will display information about these schools side by side, highlighting information that the user is likely to find particularly interesting based on the emotion engine.

[0662] The processing flow will be explained below.

[0663] Step 1:

[0664] The user launches the app and proceeds to the school search screen. Here, the user enters search criteria such as location, tuition fees, academic field, club activities, and reputation. At this time, the device's emotion engine uses the camera and microphone to capture the user's facial expressions and voice.

[0665] Step 2:

[0666] The emotion engine analyzes the user's facial expressions and voice data to identify the user's emotional state (e.g., joy, surprise, sadness, etc.), and generates digital data representing the user's current emotions.

[0667] Step 3:

[0668] After the user confirms the search conditions set by the user and presses the search button, the device collects the user's input and emotional data.

[0669] Step 4:

[0670] The device converts the collected search criteria and emotion data into JSON format request data and sends an HTTP POST request to a specific endpoint on the server. Example: POST / search-schools HTTP / 1.1

[0671] Step 5:

[0672] The server receives the request, parses the JSON data, and extracts each condition entered by the user (location, tuition fees, academic field, club activities, reputation) and sentiment data.

[0673] Step 6:

[0674] The server generates an SQL query based on the extracted conditions and emotion data. For example, the server adjusts the selection of educational institutions that match the conditions to prioritize those that the user finds more favorable based on the emotion data.

[0675] Step 7:

[0676] The server uses the generated SQL query to search the educational institution information database and obtain a list of educational institutions that match the criteria. This list is prioritized based on the emotion data.

[0677] Step 8:

[0678] The server converts the list of educational institutions into JSON format and sends it to the device as an HTTP response, which returns a list of educational institutions that match the user's conditions and emotions.

[0679] Step 9:

[0680] The device analyzes the received response data and displays a list of educational institutions on the user interface, including information such as school name, location, tuition fees, academic fields, extracurricular activities, and reputation, with priority adjusted based on emotion data.

[0681] Step 10:

[0682] When a user wants to view detailed information about a particular educational institution, they select and tap the school. The device accesses the URL for the detailed information and sends a request to the server.

[0683] Step 11:

[0684] The server receives the request for more information and retrieves details about the relevant institution from its database, including program offerings, campus facilities, and graduate employment rates.

[0685] Step 12:

[0686] The server converts the obtained detailed information into JSON format and returns it to the terminal.

[0687] Step 13:

[0688] The device displays the received detailed information on a user interface, including program content, campus facilities, and graduate employment rates.

[0689] Step 14:

[0690] If the user wants to compare multiple educational institutions, he or she selects multiple schools and presses the "Compare" button. The terminal displays information on the selected educational institutions in a comparison table format.

[0691] Step 15:

[0692] The device displays a comparison table, allowing users to visually review the characteristics, advantages, and disadvantages of each institution. An emotion engine may highlight items that are of particular interest to the user.

[0693] As a specific example, if a user sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%," and the emotion engine senses the user's joy, the server will display educational institutions that meet these conditions and that the user finds favorable at the top of the list. Similarly, if a user compares Tokyo University of Science and Technology with Tokyo Soccer College, the device will display information about these schools side by side, highlighting information that is likely to be of particular interest to the user based on the emotion engine.

[0694] Example 2

[0695] 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."

[0696] Conventional educational institution search systems only present search results based on user-specified criteria and are unable to reflect the user's individual emotions and feelings. This makes it difficult for users to find the educational institution that is truly suitable for them, and makes it difficult to efficiently gather information and make selections. Furthermore, when comparing detailed information on multiple educational institutions, it is not possible to consider priorities based on the user's emotions. This leads to issues such as reduced user satisfaction and reduced decision-making efficiency.

[0697] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing a user's emotion, a means for adjusting search results based on the recognized emotion, a means for transmitting the recognized emotion data to the server and analyzing it together with condition information, and a means for searching an educational institution information database. This makes it possible to search for and suggest more appropriate educational institutions while taking the user's emotion into consideration. Furthermore, when comparing information on multiple educational institutions, the comparison can be made while reflecting priorities based on the user's emotion, thereby improving the efficiency and satisfaction of decision-making.

[0698] "User" refers to an individual who uses the System to search for and view information about educational institutions.

[0699] The "predetermined conditions" are elements set by the user when searching for educational institutions, and specifically include location, tuition fees, academic fields, extracurricular activities, reputation, and the like.

[0700] "Emotion" refers to the user's feelings recognized by the emotion engine from the user's facial expressions and voice.

[0701] An "emotion engine" refers to software that analyzes a user's facial expressions and voice data to recognize their emotions.

[0702] An "educational institution information database" refers to a collection of data that centrally manages information about educational institutions and stores it in a searchable format.

[0703] "Search Results" refers to a list of educational institutions extracted from the educational institution information database based on the criteria and perceived sentiment set by the user.

[0704] "Server" refers to a computer that processes request data from users, searches the educational institution information database, and sends the results to the terminal.

[0705] "Terminal" refers to a device that a user can operate and communicate with a server to search for educational institutions and view detailed information.

[0706] "Comparison table format" refers to a display method that presents information on multiple educational institutions in a side-by-side table format that is easy for users to understand.

[0707] This invention relates to an educational institution search system that combines an emotion engine that recognizes user emotions. This system searches an educational institution information database using conditions set by the user and emotion data recognized by the emotion engine, and provides the user with information on the most suitable educational institution.

[0708] When a user launches the application, the device displays a school search screen and an emotion recognition interface. The user enters search criteria such as location, tuition fees, academic field, extracurricular activities, and reputation. While collecting the entered criteria, the device also uses a camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this data and recognizes the user's emotions. For example, if the user smiles while entering the criteria, the emotion engine recognizes this as "joy."

[0709] The device combines the user-entered criteria with the emotion data obtained from the emotion engine, converts this into JSON-formatted request data, and sends it to the server using an HTTP POST request. The server then analyzes the received request data, generates an SQL query, and searches the educational institution information database. The search results are adjusted based on the user's emotions, prioritizing the display of more suitable educational institutions.

[0710] The server converts the search results into JSON format and sends it to the device as an HTTP response. The device receives and parses this, and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation. If the user wants to view detailed information about a particular educational institution, the device taps on the school, accesses the URL for detailed information, and sends a request to the server. The server returns detailed information about the relevant educational institution, and the device displays that information.

[0711] If the user wants to compare multiple educational institutions, the device will display information on the selected educational institutions in a comparison table format. The emotion engine may highlight items that are of particular interest to the user.

[0712] For example, if a user launches the application and sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%," the device will use the camera and microphone to sense the user's enthusiasm. The server will then display educational institutions that match these conditions and that the user finds most appealing at the top of the list.

[0713] Additionally, if a user wants to compare Tokyo Institute of Technology with other educational institutions, the device will display information about those schools side by side and, using an emotion engine, highlight information that the user is particularly interested in. For example, by inputting a prompt such as "I want to find a reputable educational institution with annual tuition fees of less than 500,000 yen" into the generative AI model, it can provide more detailed search results and options.

[0714] The system allows users to quickly and efficiently find educational institutions that fit their needs and emotions. Emotion recognition and adaptive search results make it easier to gather information and make better decisions.

[0715] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0716] Step 1: Launch the application and set conditions

[0717] When a user launches the application, the device displays a school search screen and an emotion recognition interface. The user enters search criteria such as location, tuition fees, academic field, club activities, and reputation. For example, the user enters "Tokyo," "under 500,000 yen per year," "science and engineering," "soccer club," and "top 50%." The entered data is saved on the device.

[0718] Step 2: Recognize emotions

[0719] The device uses a camera and microphone to collect the user's facial expressions and voice. The collected data is sent to the emotion engine, which analyzes the user's emotions. For example, if the user smiles while entering a condition, the emotion engine recognizes this as "joy." The analysis results are stored on the device as emotion data.

[0720] Step 3: Sending conditions and emotion data to the server

[0721] The device combines the search criteria entered by the user with the emotion data obtained from the emotion engine and converts it into JSON-formatted request data. This request data is sent to the server via an HTTP POST request. The inputs are the search criteria and emotion data, and the output is JSON-formatted request data.

[0722] Step 4: Search educational institution databases

[0723] The server analyzes the received request data. Based on the analyzed condition information and emotion data, the server generates an SQL query to search the educational institution information database. The input is the request data, and the output is a list of search results. The search results are adjusted based on the emotion data. For example, if the user is feeling "joyed," educational institutions with more positive reviews will be prioritized.

[0724] Step 5: Sending search results from the server to the device

[0725] The server converts the adjusted search results into JSON format and sends it to the terminal as an HTTP response. The input is the adjusted search result list, and the output is the JSON format response data. This returns to the terminal a list of educational institutions that match the user's conditions and sentiment.

[0726] Step 6: Viewing search results

[0727] The device analyzes the search results received from the server and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation. The list is displayed with the priority adjusted based on the user's emotions. For example, if a user expresses joy, schools with high positive ratings will be displayed at the top.

[0728] Step 7: Viewing detailed information

[0729] If a user wants to view detailed information about a particular educational institution, they tap on that school. The device accesses the URL for the detailed information and sends a request to the server. The server returns detailed information about the relevant educational institution, and the device displays that information. The input is the information about the school the user tapped on, and the output is the detailed information displayed. For example, detailed information about Tokyo University of Science and Technology displays program content, campus facilities, and the employment rate of graduates.

[0730] Step 8: Compare multiple institutions

[0731] If a user wants to compare multiple educational institutions, they select multiple schools and press the "Compare" button. The device then displays information about the selected educational institutions in a comparison table format. The input is the school information selected by the user, and the output is a comparison table display. Items such as tuition fees, academic fields, campus facilities, and graduate employment rates are displayed side by side. In addition, an emotion engine may highlight items that are of particular interest to the user.

[0732] (Application example 2)

[0733] 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."

[0734] Conventional educational institution search systems do not recommend educational institutions based on the user's individual emotional state or preferences, and it takes a lot of time and effort to find the most suitable educational institution. Furthermore, they lack the functionality to provide adaptive search results that take into account the user's search criteria and emotions. This has led to the issue that users are less satisfied with their selections.

[0735] The identification process by the identification 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 means for the user to set predetermined conditions, means including an emotion engine that recognizes the user's emotions, means for searching the educational institution information database based on the predetermined conditions and the emotion recognition results, means for displaying the search results, and means for comparing information on multiple educational institutions. This makes it possible to efficiently find the educational institution that best matches the user's emotions and the set conditions.

[0736] "User" refers to an individual or entity that uses the system.

[0737] The "predetermined conditions" refer to various conditions set by the user to narrow down the search targets.

[0738] "Emotion engine" refers to software or hardware for recognizing and analyzing a user's emotions.

[0739] "Educational institution information database" refers to data storage for storing various information related to educational institutions.

[0740] "Search" refers to the process of retrieving relevant information from a database based on predetermined conditions and emotion recognition results.

[0741] "Display" refers to a means for visually showing the information obtained as a result of a search to the user.

[0742] "Comparison" refers to the process of juxtaposing information about multiple educational institutions with each other, allowing users to easily understand the characteristics of each educational institution.

[0743] "Detailed Information" refers to additional information about an educational institution beyond basic information.

[0744] "Location" refers to the physical location or geographical location of an educational institution.

[0745] "Tuition" refers to the cost of studying at an educational institution.

[0746] "Discipline" refers to the field of education or research offered by an educational institution.

[0747] "Club activities" refers to extracurricular activities and club activities at educational institutions.

[0748] "Reputation" refers to the social perception and evaluation of an educational institution.

[0749] A "server" refers to a computer system that processes data and provides information over a network.

[0750] A "database" refers to a data management system that structures and stores data, allowing it to be searched and manipulated efficiently.

[0751] This invention provides a system that allows users to search, compare, and display educational institutions using search criteria and emotions.As an application example of this invention, we will specifically explain a personalized shopping experience system using emotion recognition in a virtual store.

[0752] Hardware and Software Configuration

[0753] This system uses devices such as smartphones or head-mounted displays. The following hardware and software are installed on these devices:

[0754] Hardware: Video capture devices such as smartphone cameras and webcams.

[0755] Software: OpenCV, EmotionEngine library, HTTP communication library (requests), etc.

[0756] Step 1: Recognizing user emotions

[0757] The device uses a camera to capture the user's facial expressions, and the EmotionEngine library analyzes this video data to recognize the user's emotions (happiness, sadness, surprise, etc.).

[0758] Step 2: Condition Setting Interface

[0759] The user inputs search criteria such as the product category, price range, and brand he or she wishes to purchase through the terminal interface.

[0760] Step 3: Send data

[0761] The search criteria and emotion recognition results set by the user are converted into JSON format data and sent to the server as an HTTP POST request.

[0762] Step 4: Search the database

[0763] The server analyzes the received search criteria and emotion data. Similar to searching the educational institution information database, the server generates an SQL query to prioritize the display of products that the user prefers based on the emotion recognition results.

[0764] Step 5: Submit and view search results

[0765] The server returns the search results in JSON format to the device, which parses them and displays them visually to the user. Products that best match the user's input criteria and sentiment are displayed at the top of the list.

[0766] Step 6: View and compare details

[0767] When a user wants to get more information about a particular product, they tap on the product, which sends a request for more information to the server. The server returns the details, which the device displays. It is also possible to select multiple products and display their information in a comparison table format.

[0768] Specific examples

[0769] For example, if a user sets "furniture," "5,000 to 10,000 yen," and "natural taste" as search criteria and the emotion engine detects the user's joy, the system will display products that best match these criteria and that the user finds appealing at the top of the list. Furthermore, if a user wants to view detailed information about a specific product, they can tap on the product to display the detailed information.

[0770] Prompt Sentence Examples

[0771] "Please tell us the category of products you would like to purchase. Furniture, home appliances, fashion, accessories, etc."

[0772] "What is your desired price range? Example: 5,000 to 10,000 yen."

[0773] Please let me know if there are any brands you particularly like.

[0774] In this way, users can get the best product information based on their emotions, enabling a shopping experience tailored to their individual needs and preferences.

[0775] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0776] Step 1:

[0777] The user inputs search criteria such as the category, price range, brand, etc. of the desired product through the interface provided by the terminal. At this time, the input data is temporarily stored in the terminal.

[0778] Step 2:

[0779] The device's camera is used to capture the user's facial expressions. The EmotionEngine library analyzes the captured facial expressions and recognizes the user's emotions (e.g., joy, sadness, surprise, etc.). The input is the captured facial image, and the output is the recognized emotion data.

[0780] Step 3:

[0781] The device converts the search criteria entered by the user and the emotion data recognized by the Emotion Engine into request data in JSON format. This request data is sent to the server, where the image data taken by the camera is structured as emotion information.

[0782] Step 4:

[0783] The server analyzes the received request data and extracts search criteria and emotion data. The input is JSON format request data, and the output is search criteria and emotion data parameters.

[0784] Step 5:

[0785] The server searches the educational institution information database based on the search criteria and emotion data. The server generates SQL queries and adjusts them to prioritize the display of products that the user prefers based on the emotion recognition results. Here, the input is the criteria and emotion data, and the output is the search results.

[0786] Step 6:

[0787] The server converts the refined search results into JSON format and sends it to the terminal as an HTTP response. The input is the search result dataset, and the output is the JSON formatted response data.

[0788] Step 7:

[0789] The device analyzes the search results received from the server and visually displays them to the user. Products that best match the user's input criteria and sentiment are displayed at the top of the list. The input is the response data in JSON format, and the output is the product list displayed to the user.

[0790] Step 8:

[0791] When a user wants to get more information about a particular product, they tap on that product. The device sends a request for more information to the server. The input is the ID of the product that was tapped, and the output is a request for more information from the academic affairs management system.

[0792] Step 9:

[0793] The server retrieves the details of the relevant product from the database and sends them to the terminal. The input is the product ID and a request for detailed information, and the output is the detailed information in JSON format.

[0794] Step 10:

[0795] The terminal visually displays detailed information to the user. If the user selects multiple products, the information can be displayed in a comparison table format. In this case, the input is the data of multiple products, and the output is the display data in the comparison table format.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] [Third embodiment]

[0800] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0801] 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.

[0802] 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).

[0803] 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.

[0804] 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.

[0805] 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).

[0806] 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.

[0807] 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.

[0808] 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.

[0809] 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.

[0810] 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.

[0811] 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."

[0812] This invention describes a specific embodiment of a system for users to search and compare educational institutions, which filters educational institution information based on user-specified criteria, displays the results, and provides detailed information and comparison functions.

[0813] Condition setting

[0814] When a user launches the application, a search criteria screen appears, where the user can enter specific criteria such as location, tuition fees, academic field, club activities, and reputation. This operation finalizes the criteria.

[0815] Sending conditions to the server

[0816] The device converts the conditions set by the user into JSON format and sends it to the server using an HTTP POST request.

[0817] Search educational institution information databases

[0818] The server analyzes the received conditions and generates an SQL query based on them. The server uses this SQL query to search the educational institution information database. For example, the server searches for educational institutions that meet the conditions "located in Tokyo, tuition fees under 500,000 yen, academic fields of science and engineering, club activities including soccer, and reputations within the top 50%."

[0819] Sending search results from the server to the device

[0820] The server converts the search results into JSON format and sends it to the device, which then returns a list of educational institutions that match the search criteria.

[0821] Displaying search results

[0822] The device displays the search results received from the server to the user. A list of educational institutions is displayed on the screen, including basic information about each school (e.g., school name, location, tuition fees, academic fields, club activities, reputation, etc.).

[0823] Viewing detailed information

[0824] When a user wants to view detailed information about an educational institution they are interested in, they tap on the school. The device accesses the selected institution's detailed information URL and sends a request to the server. The server returns detailed information about the institution, which the device displays on the screen. This information includes program content, campus facilities, and graduate employment rates.

[0825] Compare multiple educational institutions

[0826] When a user wants to compare multiple educational institutions, they select the schools they want to compare and press the "Compare" button. The device then displays information about the selected educational institutions in a comparison table. For example, it displays information about Tokyo University of Science and Technology and Tokyo Soccer College side by side, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0827] The system allows users to quickly and efficiently find the educational institution that best suits their needs, and the detailed information and comparison functions make it easy to gather information and make the right decision.

[0828] The processing flow will be explained below.

[0829] Step 1:

[0830] A user launches the app and proceeds to the school search screen, where they enter search criteria such as location, tuition fees, academic fields, club activities, and reputation.

[0831] Step 2:

[0832] The user confirms the conditions set and presses the search button, which causes the device to collect the user's input.

[0833] Step 3:

[0834] The device converts the collected search criteria into JSON format request data and sends an HTTP POST request to a specific endpoint on the server. Example: POST / search-schools HTTP / 1.1

[0835] Step 4:

[0836] The server receives the request, parses the JSON data, and extracts each of the criteria entered by the user (location, tuition fees, academic field, clubs, and reputation).

[0837] Step 5:

[0838] The server generates a SQL query based on the extracted conditions, for example:

[0839] sql

[0840] SELECT FROM schools

[0841] WHERE location = 'Tokyo'

[0842] AND tuition <= 50

[0843] AND 'Science and Engineering' = ANY(academic_fields)

[0844] AND 'soccer club' = ANY(clubs)

[0845] AND ranking <= 50;

[0846] Step 6:

[0847] The server queries the database to obtain a list of educational institutions that match the criteria.

[0848] Step 7:

[0849] The server converts the list of educational institutions it has obtained into JSON format and sends it to the terminal as an HTTP response.

[0850] Step 8:

[0851] The terminal analyzes the received response data and extracts a list of educational institutions.

[0852] Step 9:

[0853] The device displays a list of educational institutions on a user interface, including information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation.

[0854] Step 10:

[0855] When a user wants to view detailed information about a particular educational institution, they select and tap the institution. The device accesses the URL for the detailed information and sends a request to the server.

[0856] Step 11:

[0857] The server receives the detailed information request and retrieves the details of the relevant educational institution from the database.

[0858] Step 12:

[0859] The server converts the obtained detailed information into JSON format and returns it to the terminal.

[0860] Step 13:

[0861] The device displays the received detailed information on a user interface, including program content, campus facilities, and graduate employment rates.

[0862] Step 14:

[0863] If the user wants to compare multiple educational institutions, he or she selects multiple schools and presses the "Compare" button. The terminal displays information on the selected educational institutions in a comparison table format.

[0864] Step 15:

[0865] The device displays a comparison table, allowing users to visually see the characteristics, advantages, and disadvantages of each educational institution.

[0866] Example 1

[0867] 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."

[0868] Conventional educational facility search systems have had the problem of making it difficult for users to find educational facilities that meet their desired criteria. In addition, they lacked the functionality to obtain detailed information from search results or compare multiple educational facilities, making it extremely time-consuming for users to gather information to make the right decision.

[0869] 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.

[0870] In this invention, the server includes a means for a user to set predetermined conditions, a means for searching the educational facility information database based on the predetermined conditions, a means for displaying the search results, a means for comparing information on multiple educational facilities, and a means for receiving a detailed information request from the user and providing detailed information on the relevant educational facility. This allows the user to quickly and efficiently find an educational facility that meets their needs. In addition, the provision of detailed information and the comparison function make it easier to gather information for making appropriate decisions.

[0871] "User" refers to a person who searches for educational facilities and sets conditions.

[0872] "Specified conditions" refer to search criteria such as location, cost, academic field, extracurricular activities, and ratings that a user sets when searching for educational facilities.

[0873] "Educational facility information database" refers to a database that stores information on each educational facility.

[0874] "Search results" refers to a list of educational facilities that meet the user's specified conditions, obtained as a result of the server searching the educational facility information database.

[0875] "Detailed information" refers to basic information about educational facilities, as well as more detailed information such as program content, campus facilities, and graduate employment rates.

[0876] A "comparison table" is a display format that allows users to select multiple educational facilities and compare them based on items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0877] "Server" refers to a computer system that searches an educational facility information database based on conditions set by the user and provides the user with search results and detailed information.

[0878] "Terminal" refers to a device on which a user sets conditions and views search results and detailed information.

[0879] "HTTP POST request" refers to part of the communication protocol for sending data to a server.

[0880] (Note) These definitions are provided to aid in the detailed understanding of the present invention, and similar terms may be used in other documents or patents with different meanings.

[0881] This invention relates to a system that allows users to search and compare educational facilities, filters educational facility information based on user-specified criteria, displays the results, and provides detailed information and comparison functions.

[0882] When a user launches the application, a search criteria screen for educational facilities is displayed. On this screen, the user enters specific criteria, such as location, cost, academic field, extracurricular activities, and ratings. Once the user sets the criteria, the device converts them into JSON format and sends them to the server using an HTTP POST request. The server analyzes the received criteria, generates an SQL query based on it, and searches the educational facility information database.

[0883] The search results are sent from the server to the device in JSON format, which the device parses and displays to the user. If the user wants to view detailed information about a particular educational facility, the user selects that facility and the device sends a request for detailed information to the server. The server returns detailed information about the relevant educational facility, and the device displays that information to the user.

[0884] Furthermore, if the user wishes to compare multiple educational facilities, the user can select the facilities to compare and press the "Compare" button, and the terminal will display information about the selected facilities as a comparison table.

[0885] For example, if a user sets the conditions "Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and engineering, Club activity: Soccer club, Rating: Top 50%," the system will search for educational facilities that meet the conditions and display the results. Furthermore, if a user wants to compare two facilities, such as "Tokyo University of Science and Technology" and "Tokyo Soccer College," the system will display the information side-by-side, allowing comparisons based on such items as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0886] An example of a prompt for a generative AI model is as follows:

[0887] "Please describe a system for searching educational facilities. If a user sets the following criteria, 'Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and Engineering, Club activity: Soccer club, Rating: Top 50%', please explain in detail how the system works."

[0888] This invention allows users to quickly and efficiently find educational facilities that meet their needs, and the detailed information and comparison features make it easier to gather information to make the right decision.

[0889] The hardware used includes a terminal (such as a smartphone or personal computer) for setting conditions and displaying results, and a server for searching the database and providing information.The software includes a user interface for displaying the condition setting screen, a program for converting data into JSON format, and a program for displaying search results and generating detailed information and comparison tables.

[0890] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0891] Step 1:

[0892] When a user launches the educational facility search application, a condition setting screen is displayed. On this screen, the user enters the specified conditions (location, cost, academic field, club activities, evaluation, etc.). For example, the user can set conditions such as "Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and Engineering, Club activities: Soccer club, Evaluation: Within the top 50%."

[0893] Input: User inputs the conditions

[0894] Output: Set conditions

[0895] Step 2:

[0896] The device converts the conditions set by the user into JSON format. Then, it sends the JSON data to the server using an HTTP POST request. The converted JSON data has the following format, for example:

[0897] json

[0898] {"location": "Tokyo", "tuition_fee": 500000, "field_of_study": "Science and Engineering", "club": "Soccer Club", "reputation": "Top 50%"}

[0899] Input: Conditions set by the user

[0900] Specific operation: The device converts the conditions into JSON format and sends it to the server via an HTTP POST request.

[0901] Output: JSON data sent to the server

[0902] Step 3:

[0903] The server analyzes the received JSON data and generates an SQL query based on the specified conditions. For example, the query generated is "SELECT FROM education_institutions WHERE location="Tokyo" AND tuition_fee <= 500000 AND field_of_study="Science and Engineering" AND club="Soccer Club" AND reputation_rank <= 50." The server uses this SQL query to search the educational facility information database.

[0904] Input: User-defined conditions sent as JSON data

[0905] Specific operation: The server analyzes the conditions, generates an SQL query, and performs a database search.

[0906] Output: Search result data

[0907] Step 4:

[0908] The server converts the search results into JSON format and sends it to the terminal as an HTTP response. For example, the following data is generated: {"institutions": [{"name": "Tokyo University of Science and Technology", "location": "Tokyo", "tuition_fee": 480000, "field_of_study": "Science and Engineering", "club": "Soccer Club", "reputation": "Top 30%"},...]}

[0909] Input: Database search result data

[0910] Specific operation: The server converts the search results into JSON format and sends it to the device as an HTTP response.

[0911] Output: JSON data of search results sent to the terminal

[0912] Step 5:

[0913] The device analyzes the received search results and displays them to the user. A list of educational facilities and their basic information (school name, location, tuition fees, academic field, club activities, ratings, etc.) is displayed to the user. For example, the following information may be displayed: "Tokyo University of Science and Technology, location: Tokyo, tuition fees: 480,000 yen, academic field: science and engineering, club activities: soccer club, rating: top 30%."

[0914] Input: JSON data of search results sent from the server

[0915] Specific behavior: The device parses the JSON data and displays the results to the user.

[0916] Output: A list of displayed search results

[0917] Step 6:

[0918] When a user wants to view detailed information about a particular educational institution, the user selects that institution. The device accesses the detailed information URL of the selected educational institution and sends a request for detailed information to the server. The server returns detailed information about the relevant educational institution, and the device displays that information to the user. The detailed information includes program content, campus facilities, and graduate employment rates.

[0919] Input: ID or URL of the educational facility selected by the user

[0920] Specific operation: The device accesses the detailed information URL, sends a request to the server, and displays the returned information to the user.

[0921] Output: Detailed information about the educational facility displayed

[0922] Step 7:

[0923] When a user wants to compare multiple educational facilities, they first select the facility they want to compare and press the "Compare" button. The device then displays information about the selected facility in a comparison table. For example, a side-by-side comparison of items such as tuition fees, academic fields, campus facilities, and graduate employment rates for "Tokyo Institute of Science and Technology" and "Tokyo Soccer University" is displayed.

[0924] Input: User-selected IDs or URLs of multiple educational facilities

[0925] Specific operation: The device displays information about the selected facility as a comparison table.

[0926] Output: A comparison table of educational facilities displayed

[0927] The system allows users to quickly and efficiently find educational facilities that meet their needs, and the detailed information and comparison functions make it easier to gather information to make the right decision.

[0928] (Application example 1)

[0929] 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."

[0930] When selecting an educational institution, users need to collect and compare a lot of information. In particular, not only basic information about the institution but also video content about campus tours and educational programs are important evaluation materials, but there is no system that provides all of this information on a single platform. As a result, users have to search multiple sources individually, which is a time-consuming and labor-intensive task.

[0931] 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.

[0932] In this invention, the server includes a means for allowing a user to set predetermined conditions, a means for searching the educational institution information database based on the predetermined conditions, a means for displaying search results, a means for comparing information on multiple educational institutions, and a means for providing video content, thereby enabling users to efficiently collect information on educational institutions on a single platform and make detailed comparisons and evaluations.

[0933] "User" means any individual or entity that uses the System to search, browse, and compare educational institution information.

[0934] "Specified conditions" are certain criteria that a user sets when searching for an educational institution, and specifically include location, tuition fees, academic field, extracurricular activities, reputation, and the like.

[0935] The "educational institution information database" is a database that stores information about educational institutions, and is a target that can be searched based on conditions set by the user.

[0936] The "search results" are a list of educational institutions extracted from the educational institution information database based on predetermined conditions set by the user.

[0937] "Comparison" means comparing information on multiple educational institutions, and is a means for users to select the most suitable educational institution.

[0938] "Video content" refers to video information about campus tours and educational programs that visually convey the characteristics of the educational institution.

[0939] The "Platform" is a centralized system environment that allows users to search, view, and compare educational institution information.

[0940] A system embodying the present invention provides an efficient way for users to search and compare educational institutions. Specific embodiments are described below.

[0941] System Configuration

[0942] 1. User Device:

[0943] Using a mobile device such as a smartphone or tablet, search for educational institutions and set filters from this device.

[0944] When the application is launched, a condition setting screen appears, and the user enters specified conditions such as location, tuition fees, academic field, club activities, and reputation.

[0945] 2. Server:

[0946] The database server stores an "educational institution information database."

[0947] The server application converts the conditions sent by the user into an SQL query and searches the database.

[0948] The server sends the search results to the user's terminal in JSON format.

[0949] 3. Data processing and display:

[0950] The user device displays the received search results on the screen. Basic information about the educational institution (e.g., school name, location, tuition fees, academic fields, club activities, reputation, etc.) is displayed in list format.

[0951] Provides the ability to watch video content, allowing users to watch videos about educational institutions' campus tours and educational programs.

[0952] Function details

[0953] Condition settings:

[0954] When a user launches the application, a search criteria screen appears, where the user can enter specific criteria such as location, tuition fees, academic field, extracurricular activities, reputation, etc. The entered criteria are converted into JSON format and sent to the server.

[0955] Sending conditions to the server:

[0956] The device converts the conditions set by the user into JSON format and sends it to the server using an HTTP POST request.

[0957] Search educational institution information databases:

[0958] The server analyzes the received conditions and generates an SQL query based on them. The server uses this SQL query to search the educational institution information database. For example, the server searches for educational institutions that meet the conditions "located in Tokyo, tuition fees under 500,000 yen, academic fields of science and engineering, club activities including soccer, and reputations within the top 50%."

[0959] Sending search results from the server to your device:

[0960] The server converts the search results into JSON format and sends it to the device, which then returns a list of educational institutions that match the search criteria.

[0961] Displaying search results:

[0962] The device displays the search results received from the server to the user. A list of educational institutions is displayed on the screen, including basic information about each school. There is also a function to play video content, allowing the user to visually understand the characteristics of each educational institution.

[0963] View more information:

[0964] When a user wants to view detailed information about an educational institution they are interested in, they tap on the school. The device accesses the selected institution's detailed information URL and sends a request to the server. The server returns detailed information about the institution, which the device displays on the screen. This information includes program content, campus facilities, and graduate employment rates.

[0965] Compare multiple institutions:

[0966] If a user wants to compare multiple educational institutions, they select the schools they want to compare and press the "Compare" button. The device will then display information about the selected educational institutions in a comparison table. For example, the device may display information about two educational institutions side by side, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[0967] Examples of concrete examples and prompts

[0968] Examples:

[0969] User Scenario: A user wants to find institutions that meet specific criteria, view detailed information and video content, and compare multiple institutions.

[0970] Example prompt sentence:

[0971] "Please tell me a highly rated educational institution in Tokyo where tuition is under 500,000 yen, I can major in science and engineering, and they have a soccer club."

[0972] This system allows users to efficiently collect information on educational institutions on a single platform, enabling detailed comparisons and evaluations.

[0973] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0974] Step 1:

[0975] The user starts the application and accesses the condition setting screen.

[0976] Input: User-specified criteria such as location, tuition fees, academic field, clubs, reputation, etc.

[0977] Action: The user enters search criteria into the input form and presses the search button.

[0978] Output: The user's device converts the input conditions into JSON format.

[0979] Step 2:

[0980] The terminal sends the conditions to the server.

[0981] Input: The JSON formatted criteria data generated in step 1.

[0982] How it works: The device sends the condition data to the server using an HTTP POST request.

[0983] Output: The server receives the received JSON data.

[0984] Step 3:

[0985] The server searches the educational institution information database based on the criteria.

[0986] Input: The criteria data received in step 2 in JSON format.

[0987] How it works: The server parses the JSON data, generates a SQL query based on it, and searches the database.

[0988] Output: Generates a search result in JSON format for institutions that match the criteria.

[0989] Step 4:

[0990] The server returns the search results to the terminal.

[0991] Input: The search results in JSON format generated in Step 3.

[0992] Operation: The server sends the search results to the device in an HTTP response.

[0993] Output: The device receives the search results in JSON format.

[0994] Step 5:

[0995] The terminal displays the search results to the user.

[0996] Input: The search results received in step 4 in JSON format.

[0997] Behavior: The device parses the received JSON data and displays a list of educational institutions on the screen.

[0998] Output: The user sees a list with basic information about the institution.

[0999] Step 6:

[1000] A user requests details about a specific institution.

[1001] Enter: The action of a user selecting a specific institution from a list and requesting more information.

[1002] How it works: The device accesses the selected educational institution's details URL and sends a request to the server.

[1003] Output: The server generates a JSON data file containing the institution details.

[1004] Step 7:

[1005] The server returns the details to the terminal.

[1006] Input: JSON data of the institution details generated in step 6.

[1007] How it works: The server sends detailed information to the device in an HTTP response.

[1008] Output: The device receives detailed information in JSON format.

[1009] Step 8:

[1010] The terminal displays the detailed information to the user.

[1011] Input: JSON data of the detailed information received in Step 7.

[1012] Operation: The device parses the received JSON data and displays the detailed information on the screen.

[1013] Output: User sees detailed information about the institution (programs offered, campus facilities, graduate employment rate, etc.).

[1014] Step 9:

[1015] Users compare multiple institutions.

[1016] Input: The user selects schools from a list to compare and presses the "Compare" button.

[1017] Operation: The device sends information about the selected educational institution to the server and requests the generation of a comparison table.

[1018] Output: The server generates a JSON data file containing details of comparable institutions.

[1019] Step 10:

[1020] The server transmits the comparison information to the terminal.

[1021] Input: The JSON data of the educational institution comparison information generated in step 9.

[1022] Operation: The server sends the comparison information to the device in an HTTP response.

[1023] Output: The device receives the comparison information in JSON format.

[1024] Step 11:

[1025] The terminal displays the comparison information to the user.

[1026] Input: The comparison information JSON data received in Step 10.

[1027] Operation: The device parses the received JSON data and displays a comparison table of educational institutions on the screen.

[1028] Output: Users can compare multiple institutions by viewing a comparison table, which helps users to choose the best institution.

[1029] 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.

[1030] In this invention, we will explain a specific embodiment of an educational institution search system that combines an emotion engine that recognizes user emotions. This system provides functions such as user-set conditions, emotion recognition by the emotion engine, searching an educational institution information database, displaying search results, providing detailed information, and comparison.

[1031] Condition setting and emotion recognition

[1032] When a user launches the application, a school search screen and an emotion recognition interface are displayed. The user enters search criteria (e.g., location, tuition fees, academic field, club activities, reputation). At this time, the device uses sensors such as a camera and microphone to detect emotions from the user's facial expressions and voice, which are then analyzed by the emotion engine.

[1033] Sending condition and emotion data to the server

[1034] The device converts the search criteria entered by the user and the emotion data obtained from the emotion engine into JSON-formatted request data and sends it to the server using an HTTP POST request.

[1035] Search educational institution information databases

[1036] The server analyzes the received condition information and emotion data. To search the educational institution information database, the server generates an SQL query. This query is adjusted based on the user's emotion recognition results to prioritize the display of educational institutions that the user finds more favorable.

[1037] Sending search results from the server to the device

[1038] The server converts the adjusted search results into JSON format and sends it to the device as an HTTP response, which returns a list of educational institutions that match the user's criteria and sentiment.

[1039] Displaying search results

[1040] The device analyzes the search results received from the server and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation, and the priority is adjusted based on the user's sentiment.

[1041] Viewing detailed information

[1042] When a user wants to view detailed information about a particular educational institution, they tap on the school. The device accesses the URL for the details and sends a request to the server. The server returns the details of the institution, which the device displays. The details include program content, campus facilities, and graduate employment rates.

[1043] Compare multiple educational institutions

[1044] If a user wants to compare multiple educational institutions, they can select multiple schools and press the "Compare" button. The device will then display information about the selected institutions in a comparison table, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates. The emotion engine may highlight items that are of particular interest to the user.

[1045] The system allows users to quickly and efficiently find educational institutions that fit their needs and emotions. Emotion recognition and adaptive search results make it easier to gather information and make better decisions.

[1046] Specific examples

[1047] For example, if a user sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%" and the emotion engine senses the user's joy, the server will display educational institutions that meet these conditions and that the user finds favorable at the top of the list. Similarly, if a user compares Tokyo University of Science and Technology with Tokyo Soccer College, the device will display information about these schools side by side, highlighting information that the user is likely to find particularly interesting based on the emotion engine.

[1048] The processing flow will be explained below.

[1049] Step 1:

[1050] The user launches the app and proceeds to the school search screen. Here, the user enters search criteria such as location, tuition fees, academic field, club activities, and reputation. At this time, the device's emotion engine uses the camera and microphone to capture the user's facial expressions and voice.

[1051] Step 2:

[1052] The emotion engine analyzes the user's facial expressions and voice data to identify the user's emotional state (e.g., joy, surprise, sadness, etc.), and generates digital data representing the user's current emotions.

[1053] Step 3:

[1054] After the user confirms the search conditions set by the user and presses the search button, the device collects the user's input and emotional data.

[1055] Step 4:

[1056] The device converts the collected search criteria and emotion data into JSON format request data and sends an HTTP POST request to a specific endpoint on the server. Example: POST / search-schools HTTP / 1.1

[1057] Step 5:

[1058] The server receives the request, parses the JSON data, and extracts each condition entered by the user (location, tuition fees, academic field, club activities, reputation) and sentiment data.

[1059] Step 6:

[1060] The server generates an SQL query based on the extracted conditions and emotion data. For example, the server adjusts the selection of educational institutions that match the conditions to prioritize those that the user finds more favorable based on the emotion data.

[1061] Step 7:

[1062] The server uses the generated SQL query to search the educational institution information database and obtain a list of educational institutions that match the criteria. This list is prioritized based on the emotion data.

[1063] Step 8:

[1064] The server converts the list of educational institutions into JSON format and sends it to the device as an HTTP response, which returns a list of educational institutions that match the user's conditions and emotions.

[1065] Step 9:

[1066] The device analyzes the received response data and displays a list of educational institutions on the user interface, including information such as school name, location, tuition fees, academic fields, extracurricular activities, and reputation, with priority adjusted based on emotion data.

[1067] Step 10:

[1068] When a user wants to view detailed information about a particular educational institution, they select and tap the school. The device accesses the URL for the detailed information and sends a request to the server.

[1069] Step 11:

[1070] The server receives the request for more information and retrieves details about the relevant institution from its database, including program offerings, campus facilities, and graduate employment rates.

[1071] Step 12:

[1072] The server converts the obtained detailed information into JSON format and returns it to the terminal.

[1073] Step 13:

[1074] The device displays the received detailed information on a user interface, including program content, campus facilities, and graduate employment rates.

[1075] Step 14:

[1076] If the user wants to compare multiple educational institutions, he or she selects multiple schools and presses the "Compare" button. The terminal displays information on the selected educational institutions in a comparison table format.

[1077] Step 15:

[1078] The device displays a comparison table, allowing users to visually review the characteristics, advantages, and disadvantages of each institution. An emotion engine may highlight items that are of particular interest to the user.

[1079] As a specific example, if a user sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%," and the emotion engine senses the user's joy, the server will display educational institutions that meet these conditions and that the user finds favorable at the top of the list. Similarly, if a user compares Tokyo University of Science and Technology with Tokyo Soccer College, the device will display information about these schools side by side, highlighting information that is likely to be of particular interest to the user based on the emotion engine.

[1080] Example 2

[1081] 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."

[1082] Conventional educational institution search systems only present search results based on user-specified criteria and are unable to reflect the user's individual emotions and feelings. This makes it difficult for users to find the educational institution that is truly suitable for them, and makes it difficult to efficiently gather information and make selections. Furthermore, when comparing detailed information on multiple educational institutions, it is not possible to consider priorities based on the user's emotions. This leads to issues such as reduced user satisfaction and reduced decision-making efficiency.

[1083] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing a user's emotion, a means for adjusting search results based on the recognized emotion, a means for transmitting the recognized emotion data to the server and analyzing it together with condition information, and a means for searching an educational institution information database. This makes it possible to search for and suggest more appropriate educational institutions while taking the user's emotion into consideration. Furthermore, when comparing information on multiple educational institutions, the comparison can be made while reflecting priorities based on the user's emotion, thereby improving the efficiency and satisfaction of decision-making.

[1084] "User" refers to an individual who uses the System to search for and view information about educational institutions.

[1085] The "predetermined conditions" are elements set by the user when searching for educational institutions, and specifically include location, tuition fees, academic fields, extracurricular activities, reputation, and the like.

[1086] "Emotion" refers to the user's feelings recognized by the emotion engine from the user's facial expressions and voice.

[1087] An "emotion engine" refers to software that analyzes a user's facial expressions and voice data to recognize their emotions.

[1088] An "educational institution information database" refers to a collection of data that centrally manages information about educational institutions and stores it in a searchable format.

[1089] "Search Results" refers to a list of educational institutions extracted from the educational institution information database based on the criteria and perceived sentiment set by the user.

[1090] "Server" refers to a computer that processes request data from users, searches the educational institution information database, and sends the results to the terminal.

[1091] "Terminal" refers to a device that a user can operate and communicate with a server to search for educational institutions and view detailed information.

[1092] "Comparison table format" refers to a display method that presents information on multiple educational institutions in a side-by-side table format that is easy for users to understand.

[1093] This invention relates to an educational institution search system that combines an emotion engine that recognizes user emotions. This system searches an educational institution information database using conditions set by the user and emotion data recognized by the emotion engine, and provides the user with information on the most suitable educational institution.

[1094] When a user launches the application, the device displays a school search screen and an emotion recognition interface. The user enters search criteria such as location, tuition fees, academic field, extracurricular activities, and reputation. While collecting the entered criteria, the device also uses a camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this data and recognizes the user's emotions. For example, if the user smiles while entering the criteria, the emotion engine recognizes this as "joy."

[1095] The device combines the user-entered criteria with the emotion data obtained from the emotion engine, converts this into JSON-formatted request data, and sends it to the server using an HTTP POST request. The server then analyzes the received request data, generates an SQL query, and searches the educational institution information database. The search results are adjusted based on the user's emotions, prioritizing the display of more suitable educational institutions.

[1096] The server converts the search results into JSON format and sends it to the device as an HTTP response. The device receives and parses this, and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation. If the user wants to view detailed information about a particular educational institution, the device taps on the school, accesses the URL for detailed information, and sends a request to the server. The server returns detailed information about the relevant educational institution, and the device displays that information.

[1097] If the user wants to compare multiple educational institutions, the device will display information on the selected educational institutions in a comparison table format. The emotion engine may highlight items that are of particular interest to the user.

[1098] For example, if a user launches the application and sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%," the device will use the camera and microphone to sense the user's enthusiasm. The server will then display educational institutions that match these conditions and that the user finds most appealing at the top of the list.

[1099] Additionally, if a user wants to compare Tokyo Institute of Technology with other educational institutions, the device will display information about those schools side by side and, using an emotion engine, highlight information that the user is particularly interested in. For example, by inputting a prompt such as "I want to find a reputable educational institution with annual tuition fees of less than 500,000 yen" into the generative AI model, it can provide more detailed search results and options.

[1100] The system allows users to quickly and efficiently find educational institutions that fit their needs and emotions. Emotion recognition and adaptive search results make it easier to gather information and make better decisions.

[1101] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1102] Step 1: Launch the application and set conditions

[1103] When a user launches the application, the device displays a school search screen and an emotion recognition interface. The user enters search criteria such as location, tuition fees, academic field, club activities, and reputation. For example, the user enters "Tokyo," "under 500,000 yen per year," "science and engineering," "soccer club," and "top 50%." The entered data is saved on the device.

[1104] Step 2: Recognize emotions

[1105] The device uses a camera and microphone to collect the user's facial expressions and voice. The collected data is sent to the emotion engine, which analyzes the user's emotions. For example, if the user smiles while entering a condition, the emotion engine recognizes this as "joy." The analysis results are stored on the device as emotion data.

[1106] Step 3: Sending conditions and emotion data to the server

[1107] The device combines the search criteria entered by the user with the emotion data obtained from the emotion engine and converts it into JSON-formatted request data. This request data is sent to the server via an HTTP POST request. The inputs are the search criteria and emotion data, and the output is JSON-formatted request data.

[1108] Step 4: Search educational institution databases

[1109] The server analyzes the received request data. Based on the analyzed condition information and emotion data, the server generates an SQL query to search the educational institution information database. The input is the request data, and the output is a list of search results. The search results are adjusted based on the emotion data. For example, if the user is feeling "joyed," educational institutions with more positive reviews will be prioritized.

[1110] Step 5: Sending search results from the server to the device

[1111] The server converts the adjusted search results into JSON format and sends it to the terminal as an HTTP response. The input is the adjusted search result list, and the output is the JSON format response data. This returns to the terminal a list of educational institutions that match the user's conditions and sentiment.

[1112] Step 6: Viewing search results

[1113] The device analyzes the search results received from the server and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation. The list is displayed with the priority adjusted based on the user's emotions. For example, if a user expresses joy, schools with high positive ratings will be displayed at the top.

[1114] Step 7: Viewing detailed information

[1115] If a user wants to view detailed information about a particular educational institution, they tap on that school. The device accesses the URL for the detailed information and sends a request to the server. The server returns detailed information about the relevant educational institution, and the device displays that information. The input is the information about the school the user tapped on, and the output is the detailed information displayed. For example, detailed information about Tokyo University of Science and Technology displays program content, campus facilities, and the employment rate of graduates.

[1116] Step 8: Compare multiple institutions

[1117] If a user wants to compare multiple educational institutions, they select multiple schools and press the "Compare" button. The device then displays information about the selected educational institutions in a comparison table format. The input is the school information selected by the user, and the output is a comparison table display. Items such as tuition fees, academic fields, campus facilities, and graduate employment rates are displayed side by side. In addition, an emotion engine may highlight items that are of particular interest to the user.

[1118] (Application example 2)

[1119] 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."

[1120] Conventional educational institution search systems do not recommend educational institutions based on the user's individual emotional state or preferences, and it takes a lot of time and effort to find the most suitable educational institution. Furthermore, they lack the functionality to provide adaptive search results that take into account the user's search criteria and emotions. This has led to the issue that users are less satisfied with their selections.

[1121] The identification process by the identification 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 means for the user to set predetermined conditions, means including an emotion engine that recognizes the user's emotions, means for searching the educational institution information database based on the predetermined conditions and the emotion recognition results, means for displaying the search results, and means for comparing information on multiple educational institutions. This makes it possible to efficiently find the educational institution that best matches the user's emotions and the set conditions.

[1122] "User" refers to an individual or entity that uses the system.

[1123] The "predetermined conditions" refer to various conditions set by the user to narrow down the search targets.

[1124] "Emotion engine" refers to software or hardware for recognizing and analyzing a user's emotions.

[1125] "Educational institution information database" refers to data storage for storing various information related to educational institutions.

[1126] "Search" refers to the process of retrieving relevant information from a database based on predetermined conditions and emotion recognition results.

[1127] "Display" refers to a means for visually showing the information obtained as a result of a search to the user.

[1128] "Comparison" refers to the process of juxtaposing information about multiple educational institutions with each other, allowing users to easily understand the characteristics of each educational institution.

[1129] "Detailed Information" refers to additional information about an educational institution beyond basic information.

[1130] "Location" refers to the physical location or geographical location of an educational institution.

[1131] "Tuition" refers to the cost of studying at an educational institution.

[1132] "Discipline" refers to the field of education or research offered by an educational institution.

[1133] "Club activities" refers to extracurricular activities and club activities at educational institutions.

[1134] "Reputation" refers to the social perception and evaluation of an educational institution.

[1135] A "server" refers to a computer system that processes data and provides information over a network.

[1136] A "database" refers to a data management system that structures and stores data, allowing it to be searched and manipulated efficiently.

[1137] This invention provides a system that allows users to search, compare, and display educational institutions using search criteria and emotions.As an application example of this invention, we will specifically explain a personalized shopping experience system using emotion recognition in a virtual store.

[1138] Hardware and Software Configuration

[1139] This system uses devices such as smartphones or head-mounted displays. The following hardware and software are installed on these devices:

[1140] Hardware: Video capture devices such as smartphone cameras and webcams.

[1141] Software: OpenCV, EmotionEngine library, HTTP communication library (requests), etc.

[1142] Step 1: Recognizing user emotions

[1143] The device uses a camera to capture the user's facial expressions, and the EmotionEngine library analyzes this video data to recognize the user's emotions (happiness, sadness, surprise, etc.).

[1144] Step 2: Condition Setting Interface

[1145] The user inputs search criteria such as the product category, price range, and brand he or she wishes to purchase through the terminal interface.

[1146] Step 3: Send data

[1147] The search criteria and emotion recognition results set by the user are converted into JSON format data and sent to the server as an HTTP POST request.

[1148] Step 4: Search the database

[1149] The server analyzes the received search criteria and emotion data. Similar to searching the educational institution information database, the server generates an SQL query to prioritize the display of products that the user prefers based on the emotion recognition results.

[1150] Step 5: Submit and view search results

[1151] The server returns the search results in JSON format to the device, which parses them and displays them visually to the user. Products that best match the user's input criteria and sentiment are displayed at the top of the list.

[1152] Step 6: View and compare details

[1153] When a user wants to get more information about a particular product, they tap on the product, which sends a request for more information to the server. The server returns the details, which the device displays. It is also possible to select multiple products and display their information in a comparison table format.

[1154] Specific examples

[1155] For example, if a user sets "furniture," "5,000 to 10,000 yen," and "natural taste" as search criteria and the emotion engine detects the user's joy, the system will display products that best match these criteria and that the user finds appealing at the top of the list. Furthermore, if a user wants to view detailed information about a specific product, they can tap on the product to display the detailed information.

[1156] Prompt Sentence Examples

[1157] "Please tell us the category of products you would like to purchase. Furniture, home appliances, fashion, accessories, etc."

[1158] "What is your desired price range? Example: 5,000 to 10,000 yen."

[1159] Please let me know if there are any brands you particularly like.

[1160] In this way, users can get the best product information based on their emotions, enabling a shopping experience tailored to their individual needs and preferences.

[1161] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1162] Step 1:

[1163] The user inputs search criteria such as the category, price range, brand, etc. of the desired product through the interface provided by the terminal. At this time, the input data is temporarily stored in the terminal.

[1164] Step 2:

[1165] The device's camera is used to capture the user's facial expressions. The EmotionEngine library analyzes the captured facial expressions and recognizes the user's emotions (e.g., joy, sadness, surprise, etc.). The input is the captured facial image, and the output is the recognized emotion data.

[1166] Step 3:

[1167] The device converts the search criteria entered by the user and the emotion data recognized by the Emotion Engine into request data in JSON format. This request data is sent to the server, where the image data taken by the camera is structured as emotion information.

[1168] Step 4:

[1169] The server analyzes the received request data and extracts search criteria and emotion data. The input is JSON format request data, and the output is search criteria and emotion data parameters.

[1170] Step 5:

[1171] The server searches the educational institution information database based on the search criteria and emotion data. The server generates SQL queries and adjusts them to prioritize the display of products that the user prefers based on the emotion recognition results. Here, the input is the criteria and emotion data, and the output is the search results.

[1172] Step 6:

[1173] The server converts the refined search results into JSON format and sends it to the terminal as an HTTP response. The input is the search result dataset, and the output is the JSON formatted response data.

[1174] Step 7:

[1175] The device analyzes the search results received from the server and visually displays them to the user. Products that best match the user's input criteria and sentiment are displayed at the top of the list. The input is the response data in JSON format, and the output is the product list displayed to the user.

[1176] Step 8:

[1177] When a user wants to get more information about a particular product, they tap on that product. The device sends a request for more information to the server. The input is the ID of the product that was tapped, and the output is a request for more information from the academic affairs management system.

[1178] Step 9:

[1179] The server retrieves the details of the relevant product from the database and sends them to the terminal. The input is the product ID and a request for detailed information, and the output is the detailed information in JSON format.

[1180] Step 10:

[1181] The terminal visually displays detailed information to the user. If the user selects multiple products, the information can be displayed in a comparison table format. In this case, the input is the data of multiple products, and the output is the display data in the comparison table format.

[1182] 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.

[1183] 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.

[1184] 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.

[1185] [Fourth embodiment]

[1186] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1187] 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.

[1188] 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).

[1189] 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.

[1190] 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.

[1191] 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).

[1192] 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.

[1193] 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.

[1194] 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.

[1195] 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.

[1196] 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.

[1197] 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.

[1198] 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."

[1199] This invention describes a specific embodiment of a system for users to search and compare educational institutions, which filters educational institution information based on user-specified criteria, displays the results, and provides detailed information and comparison functions.

[1200] Condition setting

[1201] When a user launches the application, a search criteria screen appears, where the user can enter specific criteria such as location, tuition fees, academic field, club activities, and reputation. This operation finalizes the criteria.

[1202] Sending conditions to the server

[1203] The device converts the conditions set by the user into JSON format and sends it to the server using an HTTP POST request.

[1204] Search educational institution information databases

[1205] The server analyzes the received conditions and generates an SQL query based on them. The server uses this SQL query to search the educational institution information database. For example, the server searches for educational institutions that meet the conditions "located in Tokyo, tuition fees under 500,000 yen, academic fields of science and engineering, club activities including soccer, and reputations within the top 50%."

[1206] Sending search results from the server to the device

[1207] The server converts the search results into JSON format and sends it to the device, which then returns a list of educational institutions that match the search criteria.

[1208] Displaying search results

[1209] The device displays the search results received from the server to the user. A list of educational institutions is displayed on the screen, including basic information about each school (e.g., school name, location, tuition fees, academic fields, club activities, reputation, etc.).

[1210] Viewing detailed information

[1211] When a user wants to view detailed information about an educational institution they are interested in, they tap on the school. The device accesses the selected institution's detailed information URL and sends a request to the server. The server returns detailed information about the institution, which the device displays on the screen. This information includes program content, campus facilities, and graduate employment rates.

[1212] Compare multiple educational institutions

[1213] When a user wants to compare multiple educational institutions, they select the schools they want to compare and press the "Compare" button. The device then displays information about the selected educational institutions in a comparison table. For example, it displays information about Tokyo University of Science and Technology and Tokyo Soccer College side by side, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[1214] The system allows users to quickly and efficiently find the educational institution that best suits their needs, and the detailed information and comparison functions make it easy to gather information and make the right decision.

[1215] The processing flow will be explained below.

[1216] Step 1:

[1217] A user launches the app and proceeds to the school search screen, where they enter search criteria such as location, tuition fees, academic fields, club activities, and reputation.

[1218] Step 2:

[1219] The user confirms the conditions set and presses the search button, which causes the device to collect the user's input.

[1220] Step 3:

[1221] The device converts the collected search criteria into JSON format request data and sends an HTTP POST request to a specific endpoint on the server. Example: POST / search-schools HTTP / 1.1

[1222] Step 4:

[1223] The server receives the request, parses the JSON data, and extracts each of the criteria entered by the user (location, tuition fees, academic field, clubs, and reputation).

[1224] Step 5:

[1225] The server generates a SQL query based on the extracted conditions, for example:

[1226] sql

[1227] SELECT FROM schools

[1228] WHERE location = 'Tokyo'

[1229] AND tuition <= 50

[1230] AND 'Science and Engineering' = ANY(academic_fields)

[1231] AND 'soccer club' = ANY(clubs)

[1232] AND ranking <= 50;

[1233] Step 6:

[1234] The server queries the database to obtain a list of educational institutions that match the criteria.

[1235] Step 7:

[1236] The server converts the list of educational institutions it has obtained into JSON format and sends it to the terminal as an HTTP response.

[1237] Step 8:

[1238] The terminal analyzes the received response data and extracts a list of educational institutions.

[1239] Step 9:

[1240] The device displays a list of educational institutions on a user interface, including information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation.

[1241] Step 10:

[1242] When a user wants to view detailed information about a particular educational institution, they select and tap the institution. The device accesses the URL for the detailed information and sends a request to the server.

[1243] Step 11:

[1244] The server receives the detailed information request and retrieves the details of the relevant educational institution from the database.

[1245] Step 12:

[1246] The server converts the obtained detailed information into JSON format and returns it to the terminal.

[1247] Step 13:

[1248] The device displays the received detailed information on a user interface, including program content, campus facilities, and graduate employment rates.

[1249] Step 14:

[1250] If the user wants to compare multiple educational institutions, he or she selects multiple schools and presses the "Compare" button. The terminal displays information on the selected educational institutions in a comparison table format.

[1251] Step 15:

[1252] The device displays a comparison table, allowing users to visually see the characteristics, advantages, and disadvantages of each educational institution.

[1253] Example 1

[1254] 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."

[1255] Conventional educational facility search systems have had the problem of making it difficult for users to find educational facilities that meet their desired criteria. In addition, they lacked the functionality to obtain detailed information from search results or compare multiple educational facilities, making it extremely time-consuming for users to gather information to make the right decision.

[1256] 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.

[1257] In this invention, the server includes a means for a user to set predetermined conditions, a means for searching the educational facility information database based on the predetermined conditions, a means for displaying the search results, a means for comparing information on multiple educational facilities, and a means for receiving a detailed information request from the user and providing detailed information on the relevant educational facility. This allows the user to quickly and efficiently find an educational facility that meets their needs. In addition, the provision of detailed information and the comparison function make it easier to gather information for making appropriate decisions.

[1258] "User" refers to a person who searches for educational facilities and sets conditions.

[1259] "Specified conditions" refer to search criteria such as location, cost, academic field, extracurricular activities, and ratings that a user sets when searching for educational facilities.

[1260] "Educational facility information database" refers to a database that stores information on each educational facility.

[1261] "Search results" refers to a list of educational facilities that meet the user's specified conditions, obtained as a result of the server searching the educational facility information database.

[1262] "Detailed information" refers to basic information about educational facilities, as well as more detailed information such as program content, campus facilities, and graduate employment rates.

[1263] A "comparison table" is a display format that allows users to select multiple educational facilities and compare them based on items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[1264] "Server" refers to a computer system that searches an educational facility information database based on conditions set by the user and provides the user with search results and detailed information.

[1265] "Terminal" refers to a device on which a user sets conditions and views search results and detailed information.

[1266] "HTTP POST request" refers to part of the communication protocol for sending data to a server.

[1267] (Note) These definitions are provided to aid in the detailed understanding of the present invention, and similar terms may be used in other documents or patents with different meanings.

[1268] This invention relates to a system that allows users to search and compare educational facilities, filters educational facility information based on user-specified criteria, displays the results, and provides detailed information and comparison functions.

[1269] When a user launches the application, a search criteria screen for educational facilities is displayed. On this screen, the user enters specific criteria, such as location, cost, academic field, extracurricular activities, and ratings. Once the user sets the criteria, the device converts them into JSON format and sends them to the server using an HTTP POST request. The server analyzes the received criteria, generates an SQL query based on it, and searches the educational facility information database.

[1270] The search results are sent from the server to the device in JSON format, which the device parses and displays to the user. If the user wants to view detailed information about a particular educational facility, the user selects that facility and the device sends a request for detailed information to the server. The server returns detailed information about the relevant educational facility, and the device displays that information to the user.

[1271] Furthermore, if the user wishes to compare multiple educational facilities, the user can select the facilities to compare and press the "Compare" button, and the terminal will display information about the selected facilities as a comparison table.

[1272] For example, if a user sets the conditions "Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and engineering, Club activity: Soccer club, Rating: Top 50%," the system will search for educational facilities that meet the conditions and display the results. Furthermore, if a user wants to compare two facilities, such as "Tokyo University of Science and Technology" and "Tokyo Soccer College," the system will display the information side-by-side, allowing comparisons based on such items as tuition fees, academic fields, campus facilities, and graduate employment rates.

[1273] An example of a prompt for a generative AI model is as follows:

[1274] "Please describe a system for searching educational facilities. If a user sets the following criteria, 'Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and Engineering, Club activity: Soccer club, Rating: Top 50%', please explain in detail how the system works."

[1275] This invention allows users to quickly and efficiently find educational facilities that meet their needs, and the detailed information and comparison features make it easier to gather information to make the right decision.

[1276] The hardware used includes a terminal (such as a smartphone or personal computer) for setting conditions and displaying results, and a server for searching the database and providing information.The software includes a user interface for displaying the condition setting screen, a program for converting data into JSON format, and a program for displaying search results and generating detailed information and comparison tables.

[1277] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1278] Step 1:

[1279] When a user launches the educational facility search application, a condition setting screen is displayed. On this screen, the user enters the specified conditions (location, cost, academic field, club activities, evaluation, etc.). For example, the user can set conditions such as "Location: Tokyo, Cost: Under 500,000 yen, Academic field: Science and Engineering, Club activities: Soccer club, Evaluation: Within the top 50%."

[1280] Input: User inputs the conditions

[1281] Output: Set conditions

[1282] Step 2:

[1283] The device converts the conditions set by the user into JSON format. Then, it sends the JSON data to the server using an HTTP POST request. The converted JSON data has the following format, for example:

[1284] json

[1285] {"location": "Tokyo", "tuition_fee": 500000, "field_of_study": "Science and Engineering", "club": "Soccer Club", "reputation": "Top 50%"}

[1286] Input: Conditions set by the user

[1287] Specific operation: The device converts the conditions into JSON format and sends it to the server via an HTTP POST request.

[1288] Output: JSON data sent to the server

[1289] Step 3:

[1290] The server analyzes the received JSON data and generates an SQL query based on the specified conditions. For example, the query generated is "SELECT FROM education_institutions WHERE location="Tokyo" AND tuition_fee <= 500000 AND field_of_study="Science and Engineering" AND club="Soccer Club" AND reputation_rank <= 50." The server uses this SQL query to search the educational facility information database.

[1291] Input: User-defined conditions sent as JSON data

[1292] Specific operation: The server analyzes the conditions, generates an SQL query, and performs a database search.

[1293] Output: Search result data

[1294] Step 4:

[1295] The server converts the search results into JSON format and sends it to the terminal as an HTTP response. For example, the following data is generated: {"institutions": [{"name": "Tokyo University of Science and Technology", "location": "Tokyo", "tuition_fee": 480000, "field_of_study": "Science and Engineering", "club": "Soccer Club", "reputation": "Top 30%"},...]}

[1296] Input: Database search result data

[1297] Specific operation: The server converts the search results into JSON format and sends it to the device as an HTTP response.

[1298] Output: JSON data of search results sent to the terminal

[1299] Step 5:

[1300] The device analyzes the received search results and displays them to the user. A list of educational facilities and their basic information (school name, location, tuition fees, academic field, club activities, ratings, etc.) is displayed to the user. For example, the following information may be displayed: "Tokyo University of Science and Technology, location: Tokyo, tuition fees: 480,000 yen, academic field: science and engineering, club activities: soccer club, rating: top 30%."

[1301] Input: JSON data of search results sent from the server

[1302] Specific behavior: The device parses the JSON data and displays the results to the user.

[1303] Output: A list of displayed search results

[1304] Step 6:

[1305] When a user wants to view detailed information about a particular educational institution, the user selects that institution. The device accesses the detailed information URL of the selected educational institution and sends a request for detailed information to the server. The server returns detailed information about the relevant educational institution, and the device displays that information to the user. The detailed information includes program content, campus facilities, and graduate employment rates.

[1306] Input: ID or URL of the educational facility selected by the user

[1307] Specific operation: The device accesses the detailed information URL, sends a request to the server, and displays the returned information to the user.

[1308] Output: Detailed information about the educational facility displayed

[1309] Step 7:

[1310] When a user wants to compare multiple educational facilities, they first select the facility they want to compare and press the "Compare" button. The device then displays information about the selected facility in a comparison table. For example, a side-by-side comparison of items such as tuition fees, academic fields, campus facilities, and graduate employment rates for "Tokyo Institute of Science and Technology" and "Tokyo Soccer University" is displayed.

[1311] Input: User-selected IDs or URLs of multiple educational facilities

[1312] Specific operation: The device displays information about the selected facility as a comparison table.

[1313] Output: A comparison table of educational facilities displayed

[1314] The system allows users to quickly and efficiently find educational facilities that meet their needs, and the detailed information and comparison functions make it easier to gather information to make the right decision.

[1315] (Application example 1)

[1316] 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."

[1317] When selecting an educational institution, users need to collect and compare a lot of information. In particular, not only basic information about the institution but also video content about campus tours and educational programs are important evaluation materials, but there is no system that provides all of this information on a single platform. As a result, users have to search multiple sources individually, which is a time-consuming and labor-intensive task.

[1318] 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.

[1319] In this invention, the server includes a means for allowing a user to set predetermined conditions, a means for searching the educational institution information database based on the predetermined conditions, a means for displaying search results, a means for comparing information on multiple educational institutions, and a means for providing video content, thereby enabling users to efficiently collect information on educational institutions on a single platform and make detailed comparisons and evaluations.

[1320] "User" means any individual or entity that uses the System to search, browse, and compare educational institution information.

[1321] "Specified conditions" are certain criteria that a user sets when searching for an educational institution, and specifically include location, tuition fees, academic field, extracurricular activities, reputation, and the like.

[1322] The "educational institution information database" is a database that stores information about educational institutions, and is a target that can be searched based on conditions set by the user.

[1323] The "search results" are a list of educational institutions extracted from the educational institution information database based on predetermined conditions set by the user.

[1324] "Comparison" means comparing information on multiple educational institutions, and is a means for users to select the most suitable educational institution.

[1325] "Video content" refers to video information about campus tours and educational programs that visually convey the characteristics of the educational institution.

[1326] The "Platform" is a centralized system environment that allows users to search, view, and compare educational institution information.

[1327] A system embodying the present invention provides an efficient way for users to search and compare educational institutions. Specific embodiments are described below.

[1328] System Configuration

[1329] 1. User Device:

[1330] Using a mobile device such as a smartphone or tablet, search for educational institutions and set filters from this device.

[1331] When the application is launched, a condition setting screen appears, and the user enters specified conditions such as location, tuition fees, academic field, club activities, and reputation.

[1332] 2. Server:

[1333] The database server stores an "educational institution information database."

[1334] The server application converts the conditions sent by the user into an SQL query and searches the database.

[1335] The server sends the search results to the user's terminal in JSON format.

[1336] 3. Data processing and display:

[1337] The user device displays the received search results on the screen. Basic information about the educational institution (e.g., school name, location, tuition fees, academic fields, club activities, reputation, etc.) is displayed in list format.

[1338] Provides the ability to watch video content, allowing users to watch videos about educational institutions' campus tours and educational programs.

[1339] Function details

[1340] Condition settings:

[1341] When a user launches the application, a search criteria screen appears, where the user can enter specific criteria such as location, tuition fees, academic field, extracurricular activities, reputation, etc. The entered criteria are converted into JSON format and sent to the server.

[1342] Sending conditions to the server:

[1343] The device converts the conditions set by the user into JSON format and sends it to the server using an HTTP POST request.

[1344] Search educational institution information databases:

[1345] The server analyzes the received conditions and generates an SQL query based on them. The server uses this SQL query to search the educational institution information database. For example, the server searches for educational institutions that meet the conditions "located in Tokyo, tuition fees under 500,000 yen, academic fields of science and engineering, club activities including soccer, and reputations within the top 50%."

[1346] Sending search results from the server to your device:

[1347] The server converts the search results into JSON format and sends it to the device, which then returns a list of educational institutions that match the search criteria.

[1348] Displaying search results:

[1349] The device displays the search results received from the server to the user. A list of educational institutions is displayed on the screen, including basic information about each school. There is also a function to play video content, allowing the user to visually understand the characteristics of each educational institution.

[1350] View more information:

[1351] When a user wants to view detailed information about an educational institution they are interested in, they tap on the school. The device accesses the selected institution's detailed information URL and sends a request to the server. The server returns detailed information about the institution, which the device displays on the screen. This information includes program content, campus facilities, and graduate employment rates.

[1352] Compare multiple institutions:

[1353] If a user wants to compare multiple educational institutions, they select the schools they want to compare and press the "Compare" button. The device will then display information about the selected educational institutions in a comparison table. For example, the device may display information about two educational institutions side by side, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates.

[1354] Examples of concrete examples and prompts

[1355] Examples:

[1356] User Scenario: A user wants to find institutions that meet specific criteria, view detailed information and video content, and compare multiple institutions.

[1357] Example prompt sentence:

[1358] "Please tell me a highly rated educational institution in Tokyo where tuition is under 500,000 yen, I can major in science and engineering, and they have a soccer club."

[1359] This system allows users to efficiently collect information on educational institutions on a single platform, enabling detailed comparisons and evaluations.

[1360] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1361] Step 1:

[1362] The user starts the application and accesses the condition setting screen.

[1363] Input: User-specified criteria such as location, tuition fees, academic field, clubs, reputation, etc.

[1364] Action: The user enters search criteria into the input form and presses the search button.

[1365] Output: The user's device converts the input conditions into JSON format.

[1366] Step 2:

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

[1368] Input: The JSON formatted criteria data generated in step 1.

[1369] How it works: The device sends the condition data to the server using an HTTP POST request.

[1370] Output: The server receives the received JSON data.

[1371] Step 3:

[1372] The server searches the educational institution information database based on the criteria.

[1373] Input: The criteria data received in step 2 in JSON format.

[1374] How it works: The server parses the JSON data, generates a SQL query based on it, and searches the database.

[1375] Output: Generates a search result in JSON format for institutions that match the criteria.

[1376] Step 4:

[1377] The server returns the search results to the terminal.

[1378] Input: The search results in JSON format generated in Step 3.

[1379] Operation: The server sends the search results to the device in an HTTP response.

[1380] Output: The device receives the search results in JSON format.

[1381] Step 5:

[1382] The terminal displays the search results to the user.

[1383] Input: The search results received in step 4 in JSON format.

[1384] Behavior: The device parses the received JSON data and displays a list of educational institutions on the screen.

[1385] Output: The user sees a list with basic information about the institution.

[1386] Step 6:

[1387] A user requests details about a specific institution.

[1388] Enter: The action of a user selecting a specific institution from a list and requesting more information.

[1389] How it works: The device accesses the selected educational institution's details URL and sends a request to the server.

[1390] Output: The server generates a JSON data file containing the institution details.

[1391] Step 7:

[1392] The server returns the details to the terminal.

[1393] Input: JSON data of the institution details generated in step 6.

[1394] How it works: The server sends detailed information to the device in an HTTP response.

[1395] Output: The device receives detailed information in JSON format.

[1396] Step 8:

[1397] The terminal displays the detailed information to the user.

[1398] Input: JSON data of the detailed information received in Step 7.

[1399] Operation: The device parses the received JSON data and displays the detailed information on the screen.

[1400] Output: User sees detailed information about the institution (programs offered, campus facilities, graduate employment rate, etc.).

[1401] Step 9:

[1402] Users compare multiple institutions.

[1403] Input: The user selects schools from a list to compare and presses the "Compare" button.

[1404] Operation: The device sends information about the selected educational institution to the server and requests the generation of a comparison table.

[1405] Output: The server generates a JSON data file containing details of comparable institutions.

[1406] Step 10:

[1407] The server transmits the comparison information to the terminal.

[1408] Input: The JSON data of the educational institution comparison information generated in step 9.

[1409] Operation: The server sends the comparison information to the device in an HTTP response.

[1410] Output: The device receives the comparison information in JSON format.

[1411] Step 11:

[1412] The terminal displays the comparison information to the user.

[1413] Input: The comparison information JSON data received in Step 10.

[1414] Operation: The device parses the received JSON data and displays a comparison table of educational institutions on the screen.

[1415] Output: Users can compare multiple institutions by viewing a comparison table, which helps users to choose the best institution.

[1416] 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.

[1417] In this invention, we will explain a specific embodiment of an educational institution search system that combines an emotion engine that recognizes user emotions. This system provides functions such as user-set conditions, emotion recognition by the emotion engine, searching an educational institution information database, displaying search results, providing detailed information, and comparison.

[1418] Condition setting and emotion recognition

[1419] When a user launches the application, a school search screen and an emotion recognition interface are displayed. The user enters search criteria (e.g., location, tuition fees, academic field, club activities, reputation). At this time, the device uses sensors such as a camera and microphone to detect emotions from the user's facial expressions and voice, which are then analyzed by the emotion engine.

[1420] Sending condition and emotion data to the server

[1421] The device converts the search criteria entered by the user and the emotion data obtained from the emotion engine into JSON-formatted request data and sends it to the server using an HTTP POST request.

[1422] Search educational institution information databases

[1423] The server analyzes the received condition information and emotion data. To search the educational institution information database, the server generates an SQL query. This query is adjusted based on the user's emotion recognition results to prioritize the display of educational institutions that the user finds more favorable.

[1424] Sending search results from the server to the device

[1425] The server converts the adjusted search results into JSON format and sends it to the device as an HTTP response, which returns a list of educational institutions that match the user's criteria and sentiment.

[1426] Displaying search results

[1427] The device analyzes the search results received from the server and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation, and the priority is adjusted based on the user's sentiment.

[1428] Viewing detailed information

[1429] When a user wants to view detailed information about a particular educational institution, they tap on the school. The device accesses the URL for the details and sends a request to the server. The server returns the details of the institution, which the device displays. The details include program content, campus facilities, and graduate employment rates.

[1430] Compare multiple educational institutions

[1431] If a user wants to compare multiple educational institutions, they can select multiple schools and press the "Compare" button. The device will then display information about the selected institutions in a comparison table, allowing users to compare items such as tuition fees, academic fields, campus facilities, and graduate employment rates. The emotion engine may highlight items that are of particular interest to the user.

[1432] The system allows users to quickly and efficiently find educational institutions that fit their needs and emotions. Emotion recognition and adaptive search results make it easier to gather information and make better decisions.

[1433] Specific examples

[1434] For example, if a user sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%" and the emotion engine senses the user's joy, the server will display educational institutions that meet these conditions and that the user finds favorable at the top of the list. Similarly, if a user compares Tokyo University of Science and Technology with Tokyo Soccer College, the device will display information about these schools side by side, highlighting information that the user is likely to find particularly interesting based on the emotion engine.

[1435] The processing flow will be explained below.

[1436] Step 1:

[1437] The user launches the app and proceeds to the school search screen. Here, the user enters search criteria such as location, tuition fees, academic field, club activities, and reputation. At this time, the device's emotion engine uses the camera and microphone to capture the user's facial expressions and voice.

[1438] Step 2:

[1439] The emotion engine analyzes the user's facial expressions and voice data to identify the user's emotional state (e.g., joy, surprise, sadness, etc.), and generates digital data representing the user's current emotions.

[1440] Step 3:

[1441] After the user confirms the search conditions set by the user and presses the search button, the device collects the user's input and emotional data.

[1442] Step 4:

[1443] The device converts the collected search criteria and emotion data into JSON format request data and sends an HTTP POST request to a specific endpoint on the server. Example: POST / search-schools HTTP / 1.1

[1444] Step 5:

[1445] The server receives the request, parses the JSON data, and extracts each condition entered by the user (location, tuition fees, academic field, club activities, reputation) and sentiment data.

[1446] Step 6:

[1447] The server generates an SQL query based on the extracted conditions and emotion data. For example, the server adjusts the selection of educational institutions that match the conditions to prioritize those that the user finds more favorable based on the emotion data.

[1448] Step 7:

[1449] The server uses the generated SQL query to search the educational institution information database and obtain a list of educational institutions that match the criteria. This list is prioritized based on the emotion data.

[1450] Step 8:

[1451] The server converts the list of educational institutions into JSON format and sends it to the device as an HTTP response, which returns a list of educational institutions that match the user's conditions and emotions.

[1452] Step 9:

[1453] The device analyzes the received response data and displays a list of educational institutions on the user interface, including information such as school name, location, tuition fees, academic fields, extracurricular activities, and reputation, with priority adjusted based on emotion data.

[1454] Step 10:

[1455] When a user wants to view detailed information about a particular educational institution, they select and tap the school. The device accesses the URL for the detailed information and sends a request to the server.

[1456] Step 11:

[1457] The server receives the request for more information and retrieves details about the relevant institution from its database, including program offerings, campus facilities, and graduate employment rates.

[1458] Step 12:

[1459] The server converts the obtained detailed information into JSON format and returns it to the terminal.

[1460] Step 13:

[1461] The device displays the received detailed information on a user interface, including program content, campus facilities, and graduate employment rates.

[1462] Step 14:

[1463] If the user wants to compare multiple educational institutions, he or she selects multiple schools and presses the "Compare" button. The terminal displays information on the selected educational institutions in a comparison table format.

[1464] Step 15:

[1465] The device displays a comparison table, allowing users to visually review the characteristics, advantages, and disadvantages of each institution. An emotion engine may highlight items that are of particular interest to the user.

[1466] As a specific example, if a user sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%," and the emotion engine senses the user's joy, the server will display educational institutions that meet these conditions and that the user finds favorable at the top of the list. Similarly, if a user compares Tokyo University of Science and Technology with Tokyo Soccer College, the device will display information about these schools side by side, highlighting information that is likely to be of particular interest to the user based on the emotion engine.

[1467] Example 2

[1468] 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."

[1469] Conventional educational institution search systems only present search results based on user-specified criteria and are unable to reflect the user's individual emotions and feelings. This makes it difficult for users to find the educational institution that is truly suitable for them, and makes it difficult to efficiently gather information and make selections. Furthermore, when comparing detailed information on multiple educational institutions, it is not possible to consider priorities based on the user's emotions. This leads to issues such as reduced user satisfaction and reduced decision-making efficiency.

[1470] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing a user's emotion, a means for adjusting search results based on the recognized emotion, a means for transmitting the recognized emotion data to the server and analyzing it together with condition information, and a means for searching an educational institution information database. This makes it possible to search for and suggest more appropriate educational institutions while taking the user's emotion into consideration. Furthermore, when comparing information on multiple educational institutions, the comparison can be made while reflecting priorities based on the user's emotion, thereby improving the efficiency and satisfaction of decision-making.

[1471] "User" refers to an individual who uses the System to search for and view information about educational institutions.

[1472] The "predetermined conditions" are elements set by the user when searching for educational institutions, and specifically include location, tuition fees, academic fields, extracurricular activities, reputation, and the like.

[1473] "Emotion" refers to the user's feelings recognized by the emotion engine from the user's facial expressions and voice.

[1474] An "emotion engine" refers to software that analyzes a user's facial expressions and voice data to recognize their emotions.

[1475] An "educational institution information database" refers to a collection of data that centrally manages information about educational institutions and stores it in a searchable format.

[1476] "Search Results" refers to a list of educational institutions extracted from the educational institution information database based on the criteria and perceived sentiment set by the user.

[1477] "Server" refers to a computer that processes request data from users, searches the educational institution information database, and sends the results to the terminal.

[1478] "Terminal" refers to a device that a user can operate and communicate with a server to search for educational institutions and view detailed information.

[1479] "Comparison table format" refers to a display method that presents information on multiple educational institutions in a side-by-side table format that is easy for users to understand.

[1480] This invention relates to an educational institution search system that combines an emotion engine that recognizes user emotions. This system searches an educational institution information database using conditions set by the user and emotion data recognized by the emotion engine, and provides the user with information on the most suitable educational institution.

[1481] When a user launches the application, the device displays a school search screen and an emotion recognition interface. The user enters search criteria such as location, tuition fees, academic field, extracurricular activities, and reputation. While collecting the entered criteria, the device also uses a camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this data and recognizes the user's emotions. For example, if the user smiles while entering the criteria, the emotion engine recognizes this as "joy."

[1482] The device combines the user-entered criteria with the emotion data obtained from the emotion engine, converts this into JSON-formatted request data, and sends it to the server using an HTTP POST request. The server then analyzes the received request data, generates an SQL query, and searches the educational institution information database. The search results are adjusted based on the user's emotions, prioritizing the display of more suitable educational institutions.

[1483] The server converts the search results into JSON format and sends it to the device as an HTTP response. The device receives and parses this, and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation. If the user wants to view detailed information about a particular educational institution, the device taps on the school, accesses the URL for detailed information, and sends a request to the server. The server returns detailed information about the relevant educational institution, and the device displays that information.

[1484] If the user wants to compare multiple educational institutions, the device will display information on the selected educational institutions in a comparison table format. The emotion engine may highlight items that are of particular interest to the user.

[1485] For example, if a user launches the application and sets the conditions "Tokyo," "less than 500,000 yen per year," "science and engineering," "soccer club," and "top 50%," the device will use the camera and microphone to sense the user's enthusiasm. The server will then display educational institutions that match these conditions and that the user finds most appealing at the top of the list.

[1486] Additionally, if a user wants to compare Tokyo Institute of Technology with other educational institutions, the device will display information about those schools side by side and, using an emotion engine, highlight information that the user is particularly interested in. For example, by inputting a prompt such as "I want to find a reputable educational institution with annual tuition fees of less than 500,000 yen" into the generative AI model, it can provide more detailed search results and options.

[1487] The system allows users to quickly and efficiently find educational institutions that fit their needs and emotions. Emotion recognition and adaptive search results make it easier to gather information and make better decisions.

[1488] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1489] Step 1: Launch the application and set conditions

[1490] When a user launches the application, the device displays a school search screen and an emotion recognition interface. The user enters search criteria such as location, tuition fees, academic field, club activities, and reputation. For example, the user enters "Tokyo," "under 500,000 yen per year," "science and engineering," "soccer club," and "top 50%." The entered data is saved on the device.

[1491] Step 2: Recognize emotions

[1492] The device uses a camera and microphone to collect the user's facial expressions and voice. The collected data is sent to the emotion engine, which analyzes the user's emotions. For example, if the user smiles while entering a condition, the emotion engine recognizes this as "joy." The analysis results are stored on the device as emotion data.

[1493] Step 3: Sending conditions and emotion data to the server

[1494] The device combines the search criteria entered by the user with the emotion data obtained from the emotion engine and converts it into JSON-formatted request data. This request data is sent to the server via an HTTP POST request. The inputs are the search criteria and emotion data, and the output is JSON-formatted request data.

[1495] Step 4: Search educational institution databases

[1496] The server analyzes the received request data. Based on the analyzed condition information and emotion data, the server generates an SQL query to search the educational institution information database. The input is the request data, and the output is a list of search results. The search results are adjusted based on the emotion data. For example, if the user is feeling "joyed," educational institutions with more positive reviews will be prioritized.

[1497] Step 5: Sending search results from the server to the device

[1498] The server converts the adjusted search results into JSON format and sends it to the terminal as an HTTP response. The input is the adjusted search result list, and the output is the JSON format response data. This returns to the terminal a list of educational institutions that match the user's conditions and sentiment.

[1499] Step 6: Viewing search results

[1500] The device analyzes the search results received from the server and displays a list of educational institutions to the user. The list includes basic information such as the school name, location, tuition fees, academic fields, extracurricular activities, and reputation. The list is displayed with the priority adjusted based on the user's emotions. For example, if a user expresses joy, schools with high positive ratings will be displayed at the top.

[1501] Step 7: Viewing detailed information

[1502] If a user wants to view detailed information about a particular educational institution, they tap on that school. The device accesses the URL for the detailed information and sends a request to the server. The server returns detailed information about the relevant educational institution, and the device displays that information. The input is the information about the school the user tapped on, and the output is the detailed information displayed. For example, detailed information about Tokyo University of Science and Technology displays program content, campus facilities, and the employment rate of graduates.

[1503] Step 8: Compare multiple institutions

[1504] If a user wants to compare multiple educational institutions, they select multiple schools and press the "Compare" button. The device then displays information about the selected educational institutions in a comparison table format. The input is the school information selected by the user, and the output is a comparison table display. Items such as tuition fees, academic fields, campus facilities, and graduate employment rates are displayed side by side. In addition, an emotion engine may highlight items that are of particular interest to the user.

[1505] (Application example 2)

[1506] 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."

[1507] Conventional educational institution search systems do not recommend educational institutions based on the user's individual emotional state or preferences, and it takes a lot of time and effort to find the most suitable educational institution. Furthermore, they lack the functionality to provide adaptive search results that take into account the user's search criteria and emotions. This has led to the issue that users are less satisfied with their selections.

[1508] The identification process by the identification 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 means for the user to set predetermined conditions, means including an emotion engine that recognizes the user's emotions, means for searching the educational institution information database based on the predetermined conditions and the emotion recognition results, means for displaying the search results, and means for comparing information on multiple educational institutions. This makes it possible to efficiently find the educational institution that best matches the user's emotions and the set conditions.

[1509] "User" refers to an individual or entity that uses the system.

[1510] The "predetermined conditions" refer to various conditions set by the user to narrow down the search targets.

[1511] "Emotion engine" refers to software or hardware for recognizing and analyzing a user's emotions.

[1512] "Educational institution information database" refers to data storage for storing various information related to educational institutions.

[1513] "Search" refers to the process of retrieving relevant information from a database based on predetermined conditions and emotion recognition results.

[1514] "Display" refers to a means for visually showing the information obtained as a result of a search to the user.

[1515] "Comparison" refers to the process of juxtaposing information about multiple educational institutions with each other, allowing users to easily understand the characteristics of each educational institution.

[1516] "Detailed Information" refers to additional information about an educational institution beyond basic information.

[1517] "Location" refers to the physical location or geographical location of an educational institution.

[1518] "Tuition" refers to the cost of studying at an educational institution.

[1519] "Discipline" refers to the field of education or research offered by an educational institution.

[1520] "Club activities" refers to extracurricular activities and club activities at educational institutions.

[1521] "Reputation" refers to the social perception and evaluation of an educational institution.

[1522] A "server" refers to a computer system that processes data and provides information over a network.

[1523] A "database" refers to a data management system that structures and stores data, allowing it to be searched and manipulated efficiently.

[1524] This invention provides a system that allows users to search, compare, and display educational institutions using search criteria and emotions.As an application example of this invention, we will specifically explain a personalized shopping experience system using emotion recognition in a virtual store.

[1525] Hardware and Software Configuration

[1526] This system uses devices such as smartphones or head-mounted displays. The following hardware and software are installed on these devices:

[1527] Hardware: Video capture devices such as smartphone cameras and webcams.

[1528] Software: OpenCV, EmotionEngine library, HTTP communication library (requests), etc.

[1529] Step 1: Recognizing user emotions

[1530] The device uses a camera to capture the user's facial expressions, and the EmotionEngine library analyzes this video data to recognize the user's emotions (happiness, sadness, surprise, etc.).

[1531] Step 2: Condition Setting Interface

[1532] The user inputs search criteria such as the product category, price range, and brand he or she wishes to purchase through the terminal interface.

[1533] Step 3: Send data

[1534] The search criteria and emotion recognition results set by the user are converted into JSON format data and sent to the server as an HTTP POST request.

[1535] Step 4: Search the database

[1536] The server analyzes the received search criteria and emotion data. Similar to searching the educational institution information database, the server generates an SQL query to prioritize the display of products that the user prefers based on the emotion recognition results.

[1537] Step 5: Submit and view search results

[1538] The server returns the search results in JSON format to the device, which parses them and displays them visually to the user. Products that best match the user's input criteria and sentiment are displayed at the top of the list.

[1539] Step 6: View and compare details

[1540] When a user wants to get more information about a particular product, they tap on the product, which sends a request for more information to the server. The server returns the details, which the device displays. It is also possible to select multiple products and display their information in a comparison table format.

[1541] Specific examples

[1542] For example, if a user sets "furniture," "5,000 to 10,000 yen," and "natural taste" as search criteria and the emotion engine detects the user's joy, the system will display products that best match these criteria and that the user finds appealing at the top of the list. Furthermore, if a user wants to view detailed information about a specific product, they can tap on the product to display the detailed information.

[1543] Prompt Sentence Examples

[1544] "Please tell us the category of products you would like to purchase. Furniture, home appliances, fashion, accessories, etc."

[1545] "What is your desired price range? Example: 5,000 to 10,000 yen."

[1546] Please let me know if there are any brands you particularly like.

[1547] In this way, users can get the best product information based on their emotions, enabling a shopping experience tailored to their individual needs and preferences.

[1548] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1549] Step 1:

[1550] The user inputs search criteria such as the category, price range, brand, etc. of the desired product through the interface provided by the terminal. At this time, the input data is temporarily stored in the terminal.

[1551] Step 2:

[1552] The device's camera is used to capture the user's facial expressions. The EmotionEngine library analyzes the captured facial expressions and recognizes the user's emotions (e.g., joy, sadness, surprise, etc.). The input is the captured facial image, and the output is the recognized emotion data.

[1553] Step 3:

[1554] The device converts the search criteria entered by the user and the emotion data recognized by the Emotion Engine into request data in JSON format. This request data is sent to the server, where the image data taken by the camera is structured as emotion information.

[1555] Step 4:

[1556] The server analyzes the received request data and extracts search criteria and emotion data. The input is JSON format request data, and the output is search criteria and emotion data parameters.

[1557] Step 5:

[1558] The server searches the educational institution information database based on the search criteria and emotion data. The server generates SQL queries and adjusts them to prioritize the display of products that the user prefers based on the emotion recognition results. Here, the input is the criteria and emotion data, and the output is the search results.

[1559] Step 6:

[1560] The server converts the refined search results into JSON format and sends it to the terminal as an HTTP response. The input is the search result dataset, and the output is the JSON formatted response data.

[1561] Step 7:

[1562] The device analyzes the search results received from the server and visually displays them to the user. Products that best match the user's input criteria and sentiment are displayed at the top of the list. The input is the response data in JSON format, and the output is the product list displayed to the user.

[1563] Step 8:

[1564] When a user wants to get more information about a particular product, they tap on that product. The device sends a request for more information to the server. The input is the ID of the product that was tapped, and the output is a request for more information from the academic affairs management system.

[1565] Step 9:

[1566] The server retrieves the details of the relevant product from the database and sends them to the terminal. The input is the product ID and a request for detailed information, and the output is the detailed information in JSON format.

[1567] Step 10:

[1568] The terminal visually displays detailed information to the user. If the user selects multiple products, the information can be displayed in a comparison table format. In this case, the input is the data of multiple products, and the output is the display data in the comparison table format.

[1569] 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.

[1570] 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.

[1571] 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.

[1572] 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.

[1573] 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.

[1574] 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.

[1575] 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).

[1576] 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.

[1577] 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."

[1578] 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.

[1579] 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).

[1580] 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.

[1581] 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.

[1582] 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.

[1583] 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.

[1584] 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.

[1585] 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.

[1586] 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.

[1587] 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.

[1588] 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.

[1589] 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.

[1590] The following is further disclosed regarding the above embodiment.

[1591] (Claim 1)

[1592] A means for a user to set predetermined conditions;

[1593] means for searching an educational institution information database based on the predetermined conditions;

[1594] means for displaying search results;

[1595] A means for comparing information from multiple educational institutions;

[1596] A system including:

[1597] (Claim 2)

[1598] means for providing detailed information about the educational institution based on the search results;

[1599] 10. The system of claim 1.

[1600] (Claim 3)

[1601] The predetermined conditions include location, tuition fees, academic field, extracurricular activities, and reputation.

[1602] 10. The system of claim 1.

[1603] "Example 1"

[1604] (Claim 1)

[1605] A means for a user to set predetermined conditions;

[1606] a means for searching an educational facility information database based on the predetermined conditions;

[1607] means for displaying search results;

[1608] A means for comparing information on multiple educational facilities;

[1609] means for receiving a request for more information from a user and providing the user with the details of the educational facility;

[1610] A system including:

[1611] (Claim 2)

[1612] a means for providing detailed information about the educational facility based on the search results;

[1613] 10. The system of claim 1.

[1614] (Claim 3)

[1615] The predetermined conditions include location, cost, academic field, extracurricular activities, and evaluations.

[1616] 10. The system of claim 1.

[1617] "Application Example 1"

[1618] (Claim 1)

[1619] A means for a user to set predetermined conditions;

[1620] means for searching an educational institution information database based on the predetermined conditions;

[1621] means for displaying search results;

[1622] A means for comparing information from multiple educational institutions;

[1623] a means for providing video content;

[1624] A system including:

[1625] (Claim 2)

[1626] means for providing detailed information about the educational institution based on the search results;

[1627] 10. The system of claim 1.

[1628] (Claim 3)

[1629] The predetermined conditions include location, tuition fees, academic field, extracurricular activities, and reputation.

[1630] 10. The system of claim 1.

[1631] "Example 2: Combining Emotion Engines"

[1632] (Claim 1)

[1633] A means for a user to set predetermined conditions;

[1634] means for searching an educational institution information database based on the predetermined conditions;

[1635] means for displaying search results;

[1636] A means for comparing information from multiple educational institutions;

[1637] means for recognizing a user's emotion;

[1638] means for tailoring search results based on the perceived sentiment;

[1639] A system including:

[1640] (Claim 2)

[1641] The system of claim 1 further comprising means for providing detailed information about an educational institution based on the search results.

[1642] (Claim 3)

[1643] The system according to claim 1, further comprising means for setting the predetermined conditions including location, tuition fees, academic field, extracurricular activities, and reputation.

[1644] (Claim 4)

[1645] 10. The system of claim 1, further comprising means for recognizing a user's emotions from facial expressions and voice.

[1646] (Claim 5)

[1647] 2. The system according to claim 1, further comprising means for transmitting the recognized emotion data to a server and analyzing the data together with condition information.

[1648] (Claim 6)

[1649] 10. The system of claim 1, further comprising means for generating an SQL query based on the emotion data and the condition information to search the educational institution information database.

[1650] (Claim 7)

[1651] 2. The system according to claim 1, further comprising means for transmitting the search results from the server to a terminal, and for analyzing and displaying the search results on the terminal.

[1652] (Claim 8)

[1653] 10. The system of claim 1, further comprising means for accessing a URL of the detailed information, sending a request to the server, and obtaining the detailed information when a user views detailed information of a particular educational institution.

[1654] (Claim 9)

[1655] 10. The system of claim 1, further comprising means for displaying information in a comparison table format for a user to select and compare multiple educational institutions.

[1656] "Application example 2 when combining emotion engines"

[1657] (Claim 1)

[1658] A means for a user to set predetermined conditions;

[1659] means including an emotion engine for recognizing an emotion of a user;

[1660] means for searching an educational institution information database based on the predetermined conditions and emotion recognition results;

[1661] means for displaying search results;

[1662] A means for comparing information from multiple educational institutions;

[1663] A system including:

[1664] (Claim 2)

[1665] means for providing detailed information about the educational institution based on the search results;

[1666] 10. The system of claim 1.

[1667] (Claim 3)

[1668] The predetermined conditions include location, tuition fees, academic field, extracurricular activities, and reputation.

[1669] 10. The system of claim 1. [Explanation of symbols]

[1670] 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. A means for a user to set predetermined conditions; means for searching an educational institution information database based on the predetermined conditions; means for displaying search results; A means for comparing information from multiple educational institutions; A system including:

2. means for providing detailed information about the educational institution based on the search results; The system of claim 1 .

3. The predetermined conditions include location, tuition fees, academic field, extracurricular activities, and reputation. The system of claim 1 .

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