System

Abstract

A system is provided.SOLUTION: A system comprising: terminal means for a user to input personal information; server means for receiving the personal information from the terminal means; analyzing means for the server means to select an education institution and a faculty optimal for the user based on the personal information; recommending means for the server means to recommend an education institution and a faculty based on a result of the analyzing means; and generating means for automatically generating campus tour information about the education institution recommended by the recommending means.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] The diversification and increase in information has made it extremely difficult for high school students and their parents to select the most suitable educational institution. In particular, the process of selecting the appropriate university and department, taking into account grades, desired region, and career aspirations, is time-consuming and laborious, and a lack of appropriate information can lead to missed opportunities. Furthermore, there are few efficient ways to obtain detailed campus and tour information for the selected educational institution. To solve these issues, it is necessary to develop a system that allows users to smoothly select the most suitable university and department and provides detailed campus tour information. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems with a system including a terminal device for a user to input personal information, a server device for receiving the personal information from the terminal device, an analysis device for the server device to select the most suitable educational institution and department for the user based on the personal information, a recommendation device for the server device to recommend educational institutions and departments based on the results of the analysis device, a generation device for automatically generating campus tour information for the educational institutions recommended by the recommendation device, and a display device for transmitting the campus tour information generated by the generation device to the terminal device and displaying it. The campus tour information includes information about the educational institution's main facilities, student life, classroom scenes, and faculty. The analysis device also selects the educational institution and department based on the user's academic ability, geographical location, and career aspirations. This allows users to efficiently select the university that best suits them and obtain detailed campus tour information.

[0006] "Terminal means" refers to a device used by a user to input personal information and communicate with a server.

[0007] The "server means" is a central processing unit that receives information sent from the terminal means and performs analysis and recommendations based on that information.

[0008] The "analysis means" is a system that includes algorithms and programs for selecting the most suitable educational institution and faculty for the user based on the received personal information.

[0009] The "recommendation means" is a means for presenting the most suitable educational institution and faculty selected by the analysis means to the user.

[0010] The "generation means" is a system including algorithms and programs for automatically generating campus tour information about recommended educational institutions.

[0011] The "display means" is a system for transmitting the campus tour information generated by the generation means to the user's terminal means and displaying it.

[0012] "Personal Information" is data that includes information about a user's academic achievement, geographic location, and career aspirations.

[0013] An "educational institution" is an institution that provides higher education, such as a university or college.

[0014] "Campus tour information" is detailed information about the institution's main facilities, student life, classroom scenes, and faculty. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

[0017] First, the terms used in the following description will be explained.

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] This invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is mainly composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, and a display means.

[0037] System Configuration and Operation

[0038] 1. Terminal means

[0039] User: A device used by high school students and their parents, such as a smartphone or PC. Users use the device to input their personal information (such as academic ability, geographical location, and career aspirations).

[0040] 2. Server Means

[0041] Server: Receives personal information sent from the terminal means and stores it in a data structure. Based on this information, the server uses analytical means to select the educational institution and department that best suits the user.

[0042] 3. Analysis method

[0043] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's academic ability, geographical location, and career aspirations. For example, if the user's deviation score is 75, a top-level university will be selected.

[0044] 4. Recommendation method

[0045] Server: Based on the results of the analysis, the server generates a list of multiple optimal educational institutions and departments and recommends them to the user. This recommended list perfectly matches the user's preferences and requirements.

[0046] 5. Generation means

[0047] Server: Automatically generates detailed campus tour information for the recommended educational institutions, including details about the institution's key facilities, student life, classrooms, and faculty.

[0048] 6. Display means

[0049] Terminal: The generated campus tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended educational institution and specifically determine which facilities to visit.

[0050] Specific examples

[0051] For example, Mr. A, a third-year high school student living in Tokyo, aspires to study at a science university and has a deviation score of 75. Mr. A first uses his smartphone to enter his personal information into the system. The input information includes his academic ability (deviation score of 75), region (Tokyo), and career aspirations (research career aspirations).

[0052] 1. Enter information

[0053] User A uses the terminal means to enter his / her information and clicks the send button.

[0054] 2. Receiving information

[0055] Server: Receives the information entered by Mr. A and prepares for analysis using the analysis means.

[0056] 3. Analysis

[0057] Server: Using analytical tools, select top-level science universities based on the following criteria: deviation score of 75, residence in Tokyo, and desire for a research position. For example, select "First University, Faculty of Science" or "Second University, Faculty of Engineering."

[0058] 4. Generating a recommendation list

[0059] Server: Based on the analysis results, recommend the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" as the most suitable universities for Mr. A.

[0060] 5. Generation of campus tour information

[0061] Server: Automatically generate the following campus tour information for the recommended "Faculty of Science, Daiichi University."

[0062] Hongo Campus introduction video

[0063] Detailed descriptions of major research facilities and libraries

[0064] Student dormitory introduction photo

[0065] Interview videos of professors from the Faculty of Science

[0066] 6. Information display

[0067] Device: The generated campus tour information is sent to A's smartphone, where A can view it. This allows A to get detailed information about the Faculty of Science at Daiichi University and know in advance which facilities to visit.

[0068] This system allows high school students and their parents to efficiently select the most suitable educational institution from a vast amount of information and simultaneously obtain detailed campus tour information.

[0069] The processing flow will be explained below.

[0070] Step 1:

[0071] User: Enter personal information (academic ability, region, career aspirations, etc.) into a device (smartphone or PC).

[0072] Step 2:

[0073] Terminal: Generates and sends a request to send the entered personal information to the server.

[0074] Step 3:

[0075] Server: Receives personal information sent from the device and stores it in a database.

[0076] Step 4:

[0077] Server: The received personal information is input into an analysis tool, and the most suitable educational institution and faculty are selected based on academic ability, region, and career aspirations.

[0078] Step 5:

[0079] Server: As a result of the analysis, a list of universities and departments that best suit the user is generated. This list includes multiple educational institutions that best suit the user's criteria.

[0080] Step 6:

[0081] Server: Based on the generated list of universities and faculties, the server calls a generating means for generating detailed campus tour information for each educational institution.

[0082] Step 7:

[0083] Server: The generation means automatically generates information about the institution's main facilities, student life, classroom scenes, and faculty. If necessary, images and videos are also generated.

[0084] Step 8:

[0085] Server: Generates and transmits a response for sending the generated campus tour information to the user's terminal.

[0086] Step 9:

[0087] Terminal: The received campus tour information is displayed on the user's screen, allowing the user to view detailed information about the recommended educational institution.

[0088] Step 10:

[0089] User: Based on the displayed campus tour information, select the university and facilities to visit.

[0090] Example 1

[0091] 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."

[0092] Conventional educational institution selection systems make it difficult for high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. In particular, there was no system that could analyze and recommend based on personal information, and then generate and display campus tour information in a single flow. Furthermore, the processes of inputting and receiving information, analyzing, recommending, generating, and displaying information lacked consistency and efficiency.

[0093] 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.

[0094] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means, analysis means for the server means to select an educational institution and department that is most suitable for the user based on the personal information, recommendation means for the server means to recommend an educational institution and department based on the results of the analysis means, generation means for automatically generating campus tour information for the educational institution recommended by the recommendation means, and display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying it. This allows multiple steps to be performed consistently, enabling the user to efficiently and quickly select an educational institution that is most suitable for the user and obtain detailed campus tour information.

[0095] "Users" refers to people such as high school students and their parents who use this system to enter their personal information and receive recommendations from educational institutions.

[0096] "Terminal means" refers to a hardware device used by a user to input personal information, such as a smartphone or a personal computer.

[0097] "Server means" refers to a central computer system that receives personal information sent from terminal means and performs analysis and recommendations based on that information.

[0098] "Analysis means" refers to the algorithms and processing functions within the server means that organize and analyze personal information entered by the user (such as academic ability, geographical conditions, career aspirations, etc.) and select the most suitable educational institution and faculty.

[0099] "Recommendation means" refers to a function that creates and recommends a list of educational institutions and faculties suitable for the user based on the results obtained by the analysis means.

[0100] "Generation means" refers to a function that automatically generates detailed campus tour information about educational institutions selected by the recommendation means.

[0101] The "display means" refers to a function for transmitting the generated campus tour information to the user's terminal means and visually displaying it to the user.

[0102] "Campus tour information" refers to detailed information about the educational institution's main facilities, student life, classroom scenes, faculty, etc., providing users with information that allows them to understand the specific situation of the educational institution in advance.

[0103] "Database" refers to a digital data storage system used by the server to organize and store data such as users' personal information and analysis results.

[0104] "API" refers to the application programming interface used by the generating means to automatically generate campus tour information, and refers to the means that enables interaction between different software components.

[0105] The present invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is mainly composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, and a display means. Specific embodiments of the system are described below.

[0106] Hardware and Software Configuration

[0107] 1. Terminal means

[0108] Users: High school students and their parents access the system using devices such as smartphones and computers. The devices operate via a web browser or a dedicated app.

[0109] 2. Server Means

[0110] Server: The server operates based on a client-server model and receives personal information sent by users. The server is equipped with advanced analytical algorithms and a database system to process large amounts of data and select the most suitable educational institution.

[0111] 3. Analysis method

[0112] Server: The server's analytical means performs analysis based on input data such as the user's academic ability, geographical location, career aspirations, etc. For example, data analysis languages ​​such as Python and R can be used.

[0113] 4. Recommendation method

[0114] Server: Based on the analysis results, the server generates a list of educational institutions and departments that are most suitable for the user. The list generation algorithm may use machine learning models or statistical models.

[0115] 5. Generation means

[0116] Server: The server generates detailed campus tour information for the recommended universities. This information is retrieved via API, and may include, for example, a video introducing the university, photos of the facilities, and interviews with faculty.

[0117] 6. Display means

[0118] Device: The generated campus tour information is sent to the user's device and displayed in a browser or app. It is provided as an HTML web page or interactive content.

[0119] Specific example explanation

[0120] In the case of high school student A living in Tokyo

[0121] User: Mr. A, a third-year high school student living in Tokyo, is aiming to enter a science university and has a deviation score of 75. Mr. A accesses the system using his smartphone and enters the following information:

[0122] Standard deviation: 75

[0123] Residence area: Tokyo

[0124] Career aspirations: Research position

[0125] Prompt Sentence Examples

[0126] A, a third-year high school student living in Tokyo, aspires to study at a science university and has a deviation score of 75. Please explain in detail the processing steps of a system that recommends the best university for A and provides detailed campus tour information. For example, please provide a detailed description of how user information is entered, how it is analyzed, and what information is generated. Please also include an explanation of the specific operations.

[0127] System Operation

[0128] 1. Enter information

[0129] User A uses the device to enter his / her information and clicks the "Send" button.

[0130] 2. Receiving information

[0131] Server: Receives Mr. A's input information, stores it in a database, and prepares it for analysis.

[0132] 3. Analysis

[0133] Server: Using analytical tools, analyze A's academic ability, geographical location, and career aspirations, and select the most suitable university. For example, select "University No. 1, Faculty of Science" or "University No. 2, Faculty of Engineering."

[0134] 4. Generating a recommendation list

[0135] Server: Based on the analysis results, generate and recommend a list of universities and departments that are most suitable for Mr. A.

[0136] 5. Generation of campus tour information

[0137] Server: Generates detailed campus tour information for the recommended universities, including an introductory video of the Hongo campus, descriptions of major research facilities, photos of student dormitories, and video interviews with faculty.

[0138] 6. Information display

[0139] Terminal: The generated campus tour information is sent to Mr. A's terminal, and he can view it to understand specific information.

[0140] This system allows high school students and their parents to efficiently select the most suitable educational institution and simultaneously obtain detailed campus tour information.

[0141] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0142] Step 1:

[0143] Users enter their personal information using a device such as a smartphone or PC. They access the system's input form and enter data such as their academic ability score, residential area, and career aspirations. After entering the information, they click the send button to send it to the server.

[0144] Input: deviation score, residential area, career aspirations

[0145] Output: User information sent to the server (JSON format)

[0146] Specific behavior:

[0147] A user opens a web browser, visits the appropriate form, enters information, and clicks a submit button, which sends the information in JSON format to the server.

[0148] Step 2:

[0149] The server receives the information sent by the user and stores it in a database, and the received data is passed to an analysis means.

[0150] Input: User information (JSON format)

[0151] Output: User information stored in the database

[0152] Specific behavior:

[0153] The server parses the data it receives and inserts it into the appropriate tables in the database, then organizes the necessary data into a data structure for analysis.

[0154] Step 3:

[0155] The server's analytical means analyzes the academic ability, geographical location, and career aspirations of the user based on the user information stored in the database, and based on the analysis results, lists the most suitable educational institutions and departments.

[0156] Input: User information in the database

[0157] Output: Analysis results (list of best-fit institutions and departments)

[0158] Specific behavior:

[0159] An analytical algorithm is activated, which comprehensively analyzes the user's academic ability (standard deviation score), geographical conditions (area of ​​residence), and career aspirations to select the appropriate educational institution and department.

[0160] Step 4:

[0161] The server's recommendation mechanism generates a list of suitable educational institutions and departments for the user based on the analysis results, which best meet the user's requirements.

[0162] Input: Analysis results

[0163] Output: Recommendation list (recommended institutions and departments)

[0164] Specific behavior:

[0165] A list generation algorithm is run to generate a list of educational institutions and departments that are suitable for the user, for example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering."

[0166] Step 5:

[0167] A server-based generation process automatically generates detailed campus tour information for the recommended educational institution, including a school introduction video, details of key facilities, student housing, and faculty interview videos.

[0168] Input: Recommendation list

[0169] Output: Campus tour information

[0170] Specific behavior:

[0171] The server uses an API to automatically generate various information (videos, photos, text) about the recommended educational institutions and organizes it as campus tour information.

[0172] Step 6:

[0173] The server sends the generated campus tour information to the user's device, which receives it and displays it in a browser or app.

[0174] Input: Campus Tour Information

[0175] Output: Campus tour information displayed on the terminal

[0176] Specific behavior:

[0177] Campus tour information is generated in HTML format and sent to the user's device, where the user can view interactive content through their browser.

[0178] This series of steps allows high school students and their parents to efficiently select the most suitable educational institution and quickly obtain detailed campus tour information.

[0179] (Application example 1)

[0180] 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."

[0181] In today's brick-and-mortar stores, consumers spend time and effort selecting the best store and product from the many options available. Furthermore, detailed information about stores and products cannot be obtained in advance when visiting for the first time, which can make the shopping experience less enjoyable. This often leaves consumers feeling lost and inconvenienced when selecting a store or product. Furthermore, stores are often not providing enough information to customers, and are being called upon to strengthen their sales promotion activities.

[0182] 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.

[0183] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means, analysis means for the server means to select the most suitable facilities and products for the user based on the personal information, recommendation means for the server means to recommend facilities and products based on the results of the analysis means, generation means for automatically generating tour information about the facilities recommended by the recommendation means, and display means for transmitting the tour information generated by the generation means to the terminal means and displaying it. This enables consumers to efficiently select the most suitable stores and products and obtain detailed tour information in advance.

[0184] "Terminal means" refers to the devices or systems through which users input personal information. Examples of such devices include smartphones and personal computers.

[0185] The term "server means" refers to a central device or computer system that manages personal information received from the terminal means and processes it in cooperation with other system components.

[0186] "Analysis means" refers to the algorithms and software that the server means uses to select the most suitable facilities and products for the user based on personal information.

[0187] "Recommendation means" refers to a system or program for making recommendations to users based on facilities and products selected by the analysis means.

[0188] "Generation means" refers to a function or software that automatically generates tour information about facilities recommended by the recommendation means.

[0189] The "display means" refers to a display or interface that transmits the generated tour information to the terminal means and visually displays it to the user.

[0190] "Establishment" refers to a place or building where consumers visit and shop, such as a retail store, shopping center, or supermarket.

[0191] "Goods" refers to goods and services provided within the facility.

[0192] "Tour Information" refers to detailed interpretive materials and guides that include information about the main areas of the facility, the visitor experience, an overview of exhibits, and guides.

[0193] "User" refers to a consumer or user who inputs personal information and receives recommendations of the most suitable facilities and products.

[0194] The present invention relates to a system that enables users to efficiently select optimal facilities and products and obtain detailed tour information. This system is mainly composed of terminal means, server means, analysis means, recommendation means, generation means, and display means.

[0195] System Configuration and Operation

[0196] 1. Terminal means

[0197] User: A terminal used by a shopper, such as a smartphone or a PC. The user uses the terminal to input their personal information (preferences, budget, geographical location, etc.).

[0198] 2. Server Means

[0199] Server: Receives personal information sent from the terminal means and stores it in a database. Based on this information, the server uses analysis means to select the most suitable facilities and products for the user.

[0200] 3. Analysis method

[0201] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's preferences, budget, and geographical conditions. For example, if the user's budget is 5,000 yen, it will select stores and products that fit within that budget.

[0202] 4. Recommendation method

[0203] Server: Based on the results of the analysis, the server generates a list of multiple optimal facilities and products and recommends them to the user. This recommended list perfectly matches the user's wishes and conditions.

[0204] 5. Generation means

[0205] Server: Automatically generates detailed tour information about the recommended facility, including key areas of the facility, the visitor experience, an overview of exhibits, and details about the guide.

[0206] 6. Display means

[0207] Terminal: The generated tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended facilities and understand specifically which facilities to visit.

[0208] Hardware and software used

[0209] Hardware: Smartphones, PCs, server computers

[0210] Software: Python-based analytical algorithms, database management systems (e.g., MySQL), generative AI models (e.g., GPT-3.5)

[0211] Specific examples

[0212] For example, shopper B, who lives in Tokyo, is looking for casual fashion items and has a budget of 5,000 yen. First, shopper B uses his smartphone to enter his personal information into the system. The input information includes his preferences (casual fashion), budget (5,000 yen), and geographical location (Tokyo).

[0213] 1. Enter information

[0214] User B uses the terminal means to enter his / her information and clicks the send button.

[0215] 2. Receiving information

[0216] Server: Receives Mr. B's input information and prepares for analysis using the analysis means.

[0217] 3. Analysis

[0218] Server: Using analytical methods, select the best store candidates based on the conditions of casual fashion, a budget of 5,000 yen, and Tokyo. For example, select "Fashion Store A" or "Fashion Store B."

[0219] 4. Generating a recommendation list

[0220] Server: Based on the analysis results, recommend "Fashion Store A" and "Fashion Store B" as the best stores for Mr. B.

[0221] 5. Tour Information Generation

[0222] Server: Automatically generate the following tour information for the recommended "Fashion Store A."

[0223] Video introducing the main areas

[0224] In-store special offers and visitor experience details

[0225] Overview photo of recommended products

[0226] Interview video of the in-store guide

[0227] 6. Information display

[0228] Device: The generated tour information is sent to B's smartphone, where B can view it. This allows B to get detailed information about "Fashion Store A" and know in advance which facilities to visit.

[0229] Example prompts for generative AI models

[0230] User preference: Casual fashion

[0231] Budget: 5,000 yen

[0232] Current location: Shinjuku

[0233] Based on this information, please recommend stores in Shinjuku that sell casual fashion and generate tour information for those stores.

[0234] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0235] Step 1:

[0236] The user inputs their personal information using a terminal such as a smartphone. This information includes preferences, budget, and geographical location. The input information is sent to the server by pressing the send button.

[0237] Inputs: User preferences, budget, geography

[0238] Output: Personal information is sent to the server

[0239] Step 2:

[0240] The server stores the personal information received from the terminal means, and prepares to store the personal information in a database.

[0241] Input: Personal information sent from the terminal means

[0242] Output: This information is stored in a database

[0243] Step 3:

[0244] The server uses analytical tools to analyze the personal information in the database and selects the most suitable facilities and products based on the user's preferences, budget, and geographical location.

[0245] Input: Personal information stored on the server

[0246] Output: A list of suitable facilities and products

[0247] Step 4:

[0248] The server uses the recommendation means to make recommendations to the user based on the list of optimal facilities and products obtained from the analysis. The recommendation list perfectly matches the user's wishes and conditions.

[0249] Input: List of best facilities and products

[0250] Output: Recommendation list

[0251] Step 5:

[0252] The server uses the generating means to automatically generate detailed tour information about the recommended facility, including details about the facility's main areas, visitor experience, exhibit overview, and guide.

[0253] Input: Recommendation list

[0254] Output: Detailed tour information

[0255] Step 6:

[0256] The server transmits the generated tour information to the user's terminal, which visually displays the information, allowing the user to view the displayed information and deepen their understanding of the most suitable facilities.

[0257] Input: Detailed tour information

[0258] Output: Tour information displayed on a terminal device

[0259] 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.

[0260] The present invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, a display means, and an emotion engine.

[0261] System Configuration and Operation

[0262] 1. Terminal means

[0263] User: A device used by high school students and their parents, such as a smartphone or PC. Users use the device to input their personal information (academic ability, geographical location, career aspirations, emotional state).

[0264] 2. Server Means

[0265] Server: Receives personal information sent from the terminal means and stores it in a database. Based on this information, the server uses analysis means to select the educational institution and department that is most suitable for the user.

[0266] 3. Analysis method

[0267] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's academic ability, geographical location, and career aspirations. For example, if the user's deviation score is 75, a top-level university will be selected.

[0268] 4. Emotion Engine

[0269] Server: Analyzes the user's emotional state based on user input and feedback from the device. If the user is feeling stressed, the emotion engine will make adjustments, such as suggesting universities that offer a more relaxing environment.

[0270] 5. Recommendation method

[0271] Server: Based on the results of the analysis and emotion engine, the server generates and recommends to the user a list of multiple optimal educational institutions and departments that perfectly match the user's academic ability, geographical conditions, career aspirations, and emotional state.

[0272] 6. Generation means

[0273] Server: Automatically generates detailed campus tour information for recommended institutions, including details about the institution's key facilities, student life, classrooms, and faculty.

[0274] 7. Display means

[0275] Terminal: The generated campus tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended educational institution and specifically determine which facilities to visit.

[0276] Specific examples

[0277] For example, Mr. A, a third-year high school student living in Tokyo, aspires to enter a science-related university and has a deviation score of 75. Mr. A first uses his smartphone to enter his personal information into the system. The input information includes his academic ability (deviation score of 75), region (Tokyo), career aspirations (aspires to work in research), and emotional state (feels stressed before the semester exams).

[0278] 1. Enter information

[0279] User A uses the terminal means to enter his / her information and clicks the send button.

[0280] 2. Receiving information

[0281] Server: Receives the input information from Person A and prepares for analysis using the analysis means and emotion engine.

[0282] 3. Analysis

[0283] Server: Using analytical tools, select top-level science universities based on the following criteria: deviation score of 75, residence in Tokyo, and desire for a research position. For example, select "First University, Faculty of Science" or "Second University, Faculty of Engineering."

[0284] 4. Emotion analysis

[0285] Server: Using an emotion engine, analyze Mr. A's stress level and prioritize universities that offer a relaxing environment.

[0286] 5. Generating a recommendation list

[0287] Server: Based on the results of the analysis and sentiment analysis, recommend the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" as the most suitable universities for Mr. A.

[0288] 6. Generation of campus tour information

[0289] Server: Automatically generate the following campus tour information for the "Faculty of Science, Daiichi University."

[0290] Hongo Campus introduction video

[0291] Detailed descriptions of major research facilities and libraries

[0292] Student dormitory introduction photo

[0293] Interview videos of professors from the Faculty of Science

[0294] 7. Information display

[0295] Device: The generated campus tour information is sent to A's smartphone, where A can view it. This allows A to get detailed information about the Faculty of Science at Daiichi University and know in advance which facilities to visit.

[0296] This system allows high school students and their parents to efficiently select the most suitable educational institution from a vast amount of information and simultaneously obtain detailed campus tour information.In addition, by using an emotion engine, it is possible to make appropriate suggestions that take into account the user's psychological state.

[0297] The processing flow will be explained below.

[0298] Step 1:

[0299] User: Enters personal information (academic ability, region, career aspirations, and emotional state) into a device (smartphone or PC).

[0300] Step 2:

[0301] Terminal: Generates and sends a request to send the entered personal information to the server.

[0302] Step 3:

[0303] Server: Receives personal information sent from the device and stores it in a database.

[0304] Step 4:

[0305] Server: The received personal information is input into an analysis tool, and the most suitable educational institution and faculty are selected based on the user's academic ability, region, and career aspirations.

[0306] Step 5:

[0307] Server: As a result of the analysis, a list of universities and departments that best suit the user is generated. This list includes multiple educational institutions that best suit the user's criteria.

[0308] Step 6:

[0309] Server: Using the emotion engine, analyzes the user's emotional state based on input information and feedback from the device. If the user is feeling stressed, the emotion engine will make adjustments such as suggesting universities that offer a more relaxing environment.

[0310] Step 7:

[0311] Server: Integrates the results of the analysis tools and sentiment engine to generate a final list of recommended educational institutions and departments that are most suitable for the user.

[0312] Step 8:

[0313] Server: The generating means automatically generates detailed campus tour information about the recommended educational institution, including information about the institution's main facilities, student life, classroom scenes, and faculty.

[0314] Step 9:

[0315] Server: Generates and transmits a response for sending the generated campus tour information to the user's terminal.

[0316] Step 10:

[0317] Terminal: The received campus tour information is displayed on the user's screen, allowing the user to view detailed information about the recommended educational institution.

[0318] Step 11:

[0319] User: Based on the displayed campus tour information, select the university and facilities to visit.

[0320] Step 12:

[0321] Terminal: The user can enter additional questions or feedback as requested, and this information is also sent to the server and used for reanalysis.

[0322] The system allows users to make more detailed and personalized university selection decisions, receiving optimal suggestions that take their emotional state into account.

[0323] Example 2

[0324] 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."

[0325] In the past, collecting information to select the most suitable educational institution for high school students and their parents required a lot of time and effort. Furthermore, there was a lack of a way to make optimal recommendations that took into account the user's emotional state, rather than just academic ability and geographical location. Therefore, there was a need for a system that could reduce the psychological burden and enable more efficient selection of the most appropriate educational institution.

[0326] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0327] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means and storing it in a database, analysis means for the server means to select the most suitable educational institution and department for the user based on the personal information, an emotion engine for the server means to analyze the user's emotional state and make adjustments taking the results into consideration, recommendation means for the server means to recommend educational institutions and departments based on the results of the analysis means and the emotion engine, generation means for automatically generating campus tour information for the educational institutions recommended by the recommendation means, and display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying it. This makes it possible to select the most suitable educational institution and provide detailed information taking into consideration the individual characteristics and emotional state of the user.

[0328] "Terminal means" refers to a device such as a smartphone or a personal computer through which a user inputs personal information.

[0329] The "server means" is a server that receives personal information sent from the terminal means and stores it in a database.

[0330] "Analysis means" refers to algorithms or programs that select the most suitable educational institution and faculty for a user based on personal information.

[0331] An "emotion engine" is a system or program that analyzes a user's emotional state and makes adjustments based on the results.

[0332] The "recommendation means" is an algorithm or program for recommending educational institutions and departments to the user based on the results of the analysis means and the emotion engine.

[0333] The "generation means" is a system or program for automatically generating campus tour information about the educational institution recommended by the recommendation means.

[0334] The "display means" refers to a display device or application that transmits the campus tour information generated by the generation means to the terminal means and displays it to the user.

[0335] This invention is a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, a display means, and an emotion engine. The specific configuration and operation are described below.

[0336] Terminal means

[0337] User: A user uses a terminal such as a smartphone or PC to access a dedicated application or website. Through the terminal, the user inputs personal information such as academic ability, geographical location, career aspirations, and emotional state. For example, a third-year high school student named A might input information such as "standard deviation score 75," "Tokyo," "aspires to work in research," and "high stress."

[0338] Server Means

[0339] Server: The server receives personal information sent from the terminal means via the Internet and stores it in a secure database. For example, the information entered by Mr. A ("Standard deviation score 75," "Living in Tokyo," "Want a research position," "High stress") is stored in the database.

[0340] Analysis means

[0341] Server: The server extracts personal information from the database and uses analytical tools (e.g., machine learning models written in Python) to generate a list of suitable educational institutions based on the user's academic ability, geographic location, and career aspirations. For example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are selected as candidates.

[0342] Emotion Engine

[0343] Server: The server uses an emotion engine (e.g., an NLP model) to analyze the emotional state input by the user. If the user is feeling stressed, the emotion engine will preferentially suggest universities that offer a relaxing environment. For example, if Person A is in a stressful state, a university with a relaxing environment will be selected.

[0344] Recommendation method

[0345] Server: The server integrates the results of the analysis method and the emotion engine to generate a list of recommended educational institutions and departments. As a result, the server recommends the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" to Mr. A.

[0346] generation means

[0347] Server: The server uses a generation method (e.g., a content generation AI model) to automatically generate detailed campus tour information for the recommended educational institution. This information includes details about the institution's main facilities, student life, classroom scenes, and faculty. For example, it generates background knowledge and specific content for "Daiichi University, Faculty of Science."

[0348] Display means

[0349] Device: The user's device receives the campus tour information sent from the server and displays it. This allows the user to obtain detailed information about the recommended educational institution. For example, Person A views an introductory video and detailed facility information for the Faculty of Science at Daiichi University on his smartphone.

[0350] Examples of specific examples and prompts

[0351] For example, when a high school student named A living in Tokyo uses the system, the following steps are performed:

[0352] 1. Enter information

[0353] The user uses their smartphone to enter information such as "standard deviation score 75," "Tokyo," "want to work in research," and "high stress," and clicks the send button.

[0354] 2. Information Receipt and Storage

[0355] The server receives Mr. A's input information and stores it in a database.

[0356] 3. Analytics and Sentiment Analysis

[0357] The server analyzes the user information using an analytical means and selects "the first university's science department" or "the second university's engineering department." The emotion engine analyzes the user's emotional state and, if the user is under a lot of stress, prioritizes selecting a university where they can relax.

[0358] 4. Generating recommendation lists and campus tour information

[0359] The server uses the generating means to automatically generate campus tour information for the "First University, Faculty of Science."

[0360] 5. Information display

[0361] The user views the generated campus tour information on their smartphone.

[0362] This system allows users to efficiently select the most suitable educational institution from a vast amount of information and obtain detailed campus tour information. It also reduces the user's psychological burden by taking into account their emotional state.

[0363] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0364] Step 1:

[0365] The user enters personal information. Using a smartphone or computer, the user accesses a dedicated application or website and enters information such as academic ability, geographical location, career aspirations, and emotional state. For example, high school senior A enters "standard deviation score 75," "Tokyo," "aspires to work in research," and "high stress," and clicks the submit button. This input data is sent in JSON format.

[0366] Step 2:

[0367] The server receives the personal information and stores it in a database. The server receives the personal information sent from the device and stores it in a secure database. Specifically, it parses the JSON data sent by the user and stores it in a relational database such as MySQL. If this storage is successful, a flag is set to proceed to the next step.

[0368] Step 3:

[0369] The server retrieves user information from the database and analyzes it using analytical tools. The server then inputs the retrieved user information into a machine learning model written in Python, which generates a ranking of the most suitable educational institutions based on the user's academic ability, geographic location, and career aspirations. For example, based on Mr. A's information, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are selected with high rankings.

[0370] Step 4:

[0371] The server analyzes the user's emotional state using an emotion engine. The server inputs the user's emotional state information (e.g., stressful) into a natural language processing model (e.g., BERT) to analyze the user's emotional state. Based on the analysis results, educational institutions that offer relaxation are prioritized.

[0372] Step 5:

[0373] The server integrates the results of the analysis method and the emotion engine to generate a recommendation list. The server uses the integrated analysis results as browsing priorities to generate a list of optimal educational institutions and departments. For example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are recommended to Person A.

[0374] Step 6:

[0375] The server generates campus tour information using a generation method. The server uses a generative AI model (e.g., GPT-4) to automatically generate detailed campus tour information for the recommended educational institution. This information includes a campus introduction video, details of major research facilities and libraries, introductory photos of student dormitories, and interview videos of faculty members.

[0376] Step 7:

[0377] The device receives the generated campus tour information and displays it to the user. The server sends the generated campus tour information in JSON format to the device, which parses it and displays it. User A views detailed information (videos, photos, text) about the "Faculty of Science, Daiichi University" on his smartphone.

[0378] (Application example 2)

[0379] 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."

[0380] In recent years, users have been required to select the most suitable physical store based on their emotional state and purchasing intent, and to efficiently obtain detailed store information. However, currently, there is no system in place to address this need, and it takes a great deal of time and effort for users to find the appropriate physical store. Furthermore, since detailed store information is not provided, it is difficult for users to make accurate purchasing decisions. Therefore, there is a need for a system that allows users to easily and quickly find the most suitable physical store and provides detailed store information.

[0381] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0382] In this invention, the server includes terminal means for a user to input personal information and emotional state, server means for receiving the personal information and emotional state from the terminal means, analysis means for the server means to select a physical store that is most suitable for the user based on the personal information and emotional state, recommendation means for the server means to recommend physical stores based on the results of the analysis means, generation means for automatically generating store tour information for the physical stores recommended by the recommendation means, and display means for transmitting the store tour information generated by the generation means to the terminal means and displaying it. This enables the user to efficiently select a physical store that is most suitable for the user's emotional state and purchasing intention, and make an accurate purchasing decision based on detailed store information.

[0383] "Terminal means" refers to a device through which a user inputs personal information and emotional state, and specifically refers to a smartphone, a personal computer, or the like.

[0384] The "server means" is a server device that has the function of analyzing and making recommendations based on the personal information and emotional state received from the terminal means.

[0385] The "analysis means" is a function that executes an algorithm to select the most suitable physical store based on the user's personal information and emotional state.

[0386] The "recommendation means" is a function that recommends physical stores based on the results of the analysis means, and generates a list of stores that are optimal for the user.

[0387] The "generation means" is a function that automatically generates detailed store tour information about the physical store selected by the recommendation means.

[0388] The "display means" is a function that transmits the store tour information generated by the generation means to the terminal means and visually displays it to the user.

[0389] "Personal information" refers to specific information about an individual, such as the user's purchasing preferences or geographical location.

[0390] "Emotional state" is information that indicates the user's current mental and emotional state.

[0391] A "brick and mortar store" is a physical store where goods and services can be purchased in person.

[0392] "Store tour information" refers to detailed information about the main facilities of a physical store, product layout, sales scenes, and staff.

[0393] The present invention relates to a system in which a user inputs personal information and emotional state into a terminal means, and a server means analyzes the information, recommends the most suitable brick-and-mortar store, and provides detailed store tour information.

[0394] System Configuration and Operation

[0395] 1. Terminal means

[0396] A user inputs his / her personal information (purchase intention, geographical location, etc.) and emotional state using a terminal means such as a smartphone or a personal computer. The terminal means transmits this information to the server means.

[0397] 2. Server Means

[0398] The server means is a main component for processing the personal information and emotional states received from the terminal means. The server means is equipped with multiple analysis algorithms and an emotion analysis engine. The server means includes the following analysis means, recommendation means, generation means, and display means.

[0399] 3. Analysis method

[0400] The analysis means provided in the server means selects the most suitable brick-and-mortar store based on the user's personal information and emotional state. For example, it analyzes the user's purchasing intentions and geographical conditions using a clustering method (such as KMeans) to extract the most suitable brick-and-mortar store candidates.

[0401] 4. Recommendation method

[0402] Based on the results obtained by the analysis means, the server means uses the recommendation means to recommend the most suitable physical store to the user. The recommendation means takes into account the user's emotional state in addition to the results of the analysis means and lists stores that are relaxing and that stimulate the desire to buy.

[0403] 5. Generation means

[0404] For the recommended physical store, the server means automatically generates detailed store tour information using the generation means, including key product shelves, cash register locations, sale information, and staff introductions. The generative AI model can be used to generate in-store visual information and interview videos.

[0405] 6. Display means

[0406] The store tour information created by the generating means is sent to the user's terminal means using the display means. By viewing this information via the terminal means, the user can understand the details of the actual store in advance.

[0407] Hardware and software used

[0408] Hardware: Servers (AWS EC2, etc.), smartphones, PCs

[0409] software:

[0410] Server side: Python, Flask, pandas, scikit-learn

[0411] Client side: Smartphone app (React Native or Flutter), web browser

[0412] Specific examples

[0413] For example, consider a user in the emotional state of "I want to relax while shopping" who uses his or her smartphone to search for the best store. The user enters the following information into the system:

[0414] Example prompt sentence:

[0415] "I'm currently feeling stressed. I live in Tokyo. Can you recommend a place where I can relax?"

[0416] As a result, the server uses the analysis means and recommendation means to add relaxing stores (e.g., large supermarkets and cafes) that suit the user's emotional state to a recommendation list and generate detailed store tour information, which is sent to the user's smartphone, allowing the user to make appropriate purchasing decisions.

[0417] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0418] Step 1:

[0419] The user inputs personal information and emotional state using the terminal means.

[0420] Input: User's purchasing intent, geography, and emotional state

[0421] Output: A dataset of input information

[0422] Specific operation: A user starts the application using a smartphone or a PC and inputs personal information such as purchasing intentions and emotional state (e.g., stress level). The input information is saved in the terminal means and transmitted to the server means.

[0423] Step 2:

[0424] The personal information and emotional state are transmitted from the terminal means to the server means.

[0425] Input: Personal information and emotional state from a terminal device

[0426] Output: Received data to the server means

[0427] Specific operation: The terminal means transmits the input information as a packet to the server means, which receives the information and prepares for analysis.

[0428] Step 3:

[0429] The server means uses the analysis means to analyze the personal information and emotional state.

[0430] Input: Personal information and emotional state received by the server means

[0431] Output: The best brick-and-mortar store candidates as a result of the analysis

[0432] Specific operation: The server uses analytical algorithms such as the KMeans clustering method to extract optimal store candidates based on the user's purchasing intentions and geographical conditions. The analytical means clusters the data and generates a list of physical stores suitable for the user.

[0433] Step 4:

[0434] The server means uses an emotion engine to analyze the user's emotional state and adjust the recommendation list.

[0435] Input: Analysis results and user's emotional state

[0436] Output: A tailored list of optimal brick-and-mortar stores

[0437] Specific operation: The server means uses the emotion engine to analyze the received emotional state (e.g., stress state) and prioritizes a list of stores that provide a relaxing environment. The recommendation list is effectively adjusted based on this.

[0438] Step 5:

[0439] The server means automatically generates detailed store tour information using the generating means.

[0440] Input: Tailored optimal brick-and-mortar store list

[0441] Output: Automatically generated store tour information

[0442] Specific operations: The server means uses the generative AI model to generate detailed store tour information, such as visual information and interview videos, for the listed physical stores. The generated information is of high quality and is configured to allow users to gain a detailed understanding of the stores.

[0443] Step 6:

[0444] The server means transmits the generated store tour information to the terminal means.

[0445] Input: Auto-generated store tour information

[0446] Output: Data sent to a terminal device

[0447] Specific operation: The server means transmits the generated store tour information to the terminal means as a data packet. After transmission, the information becomes viewable on the user's terminal.

[0448] Step 7:

[0449] The user uses the terminal means to view the store tour information and make the best purchasing decision.

[0450] Input: Store tour information displayed on the terminal

[0451] Output: User's store selection and purchasing behavior

[0452] Specific operations: The user browses the detailed store tour information displayed on the terminal and checks the main facilities and product layout in the store, which allows the user to make an appropriate purchasing decision and decide on the next course of action.

[0453] 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.

[0454] 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.

[0455] 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.

[0456] [Second embodiment]

[0457] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0458] 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.

[0459] 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).

[0460] 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.

[0461] 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.

[0462] 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).

[0463] 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.

[0464] 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.

[0465] 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.

[0466] 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.

[0467] 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.

[0468] 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."

[0469] This invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is mainly composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, and a display means.

[0470] System Configuration and Operation

[0471] 1. Terminal means

[0472] User: A device used by high school students and their parents, such as a smartphone or PC. Users use the device to input their personal information (such as academic ability, geographical location, and career aspirations).

[0473] 2. Server Means

[0474] Server: Receives personal information sent from the terminal means and stores it in a data structure. Based on this information, the server uses analytical means to select the educational institution and department that best suits the user.

[0475] 3. Analysis method

[0476] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's academic ability, geographical location, and career aspirations. For example, if the user's deviation score is 75, a top-level university will be selected.

[0477] 4. Recommendation method

[0478] Server: Based on the results of the analysis, the server generates a list of multiple optimal educational institutions and departments and recommends them to the user. This recommended list perfectly matches the user's preferences and requirements.

[0479] 5. Generation means

[0480] Server: Automatically generates detailed campus tour information for the recommended educational institutions, including details about the institution's key facilities, student life, classrooms, and faculty.

[0481] 6. Display means

[0482] Terminal: The generated campus tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended educational institution and specifically determine which facilities to visit.

[0483] Specific examples

[0484] For example, Mr. A, a third-year high school student living in Tokyo, aspires to study at a science university and has a deviation score of 75. Mr. A first uses his smartphone to enter his personal information into the system. The input information includes his academic ability (deviation score of 75), region (Tokyo), and career aspirations (research career aspirations).

[0485] 1. Enter information

[0486] User A uses the terminal means to enter his / her information and clicks the send button.

[0487] 2. Receiving information

[0488] Server: Receives the information entered by Mr. A and prepares for analysis using the analysis means.

[0489] 3. Analysis

[0490] Server: Using analytical tools, select top-level science universities based on the following criteria: deviation score of 75, residence in Tokyo, and desire for a research position. For example, select "First University, Faculty of Science" or "Second University, Faculty of Engineering."

[0491] 4. Generating a recommendation list

[0492] Server: Based on the analysis results, recommend the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" as the most suitable universities for Mr. A.

[0493] 5. Generation of campus tour information

[0494] Server: Automatically generate the following campus tour information for the recommended "Faculty of Science, Daiichi University."

[0495] Hongo Campus introduction video

[0496] Detailed descriptions of major research facilities and libraries

[0497] Student dormitory introduction photo

[0498] Interview videos of professors from the Faculty of Science

[0499] 6. Information display

[0500] Device: The generated campus tour information is sent to A's smartphone, where A can view it. This allows A to get detailed information about the Faculty of Science at Daiichi University and know in advance which facilities to visit.

[0501] This system allows high school students and their parents to efficiently select the most suitable educational institution from a vast amount of information and simultaneously obtain detailed campus tour information.

[0502] The processing flow will be explained below.

[0503] Step 1:

[0504] User: Enter personal information (academic ability, region, career aspirations, etc.) into a device (smartphone or PC).

[0505] Step 2:

[0506] Terminal: Generates and sends a request to send the entered personal information to the server.

[0507] Step 3:

[0508] Server: Receives personal information sent from the device and stores it in a database.

[0509] Step 4:

[0510] Server: The received personal information is input into an analysis tool, and the most suitable educational institution and faculty are selected based on academic ability, region, and career aspirations.

[0511] Step 5:

[0512] Server: As a result of the analysis, a list of universities and departments that best suit the user is generated. This list includes multiple educational institutions that best suit the user's criteria.

[0513] Step 6:

[0514] Server: Based on the generated list of universities and faculties, the server calls a generating means for generating detailed campus tour information for each educational institution.

[0515] Step 7:

[0516] Server: The generation means automatically generates information about the institution's main facilities, student life, classroom scenes, and faculty. If necessary, images and videos are also generated.

[0517] Step 8:

[0518] Server: Generates and transmits a response for sending the generated campus tour information to the user's terminal.

[0519] Step 9:

[0520] Terminal: The received campus tour information is displayed on the user's screen, allowing the user to view detailed information about the recommended educational institution.

[0521] Step 10:

[0522] User: Based on the displayed campus tour information, select the university and facilities to visit.

[0523] Example 1

[0524] 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."

[0525] Conventional educational institution selection systems make it difficult for high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. In particular, there was no system that could analyze and recommend based on personal information, and then generate and display campus tour information in a single flow. Furthermore, the processes of inputting and receiving information, analyzing, recommending, generating, and displaying information lacked consistency and efficiency.

[0526] 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.

[0527] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means, analysis means for the server means to select an educational institution and department that is most suitable for the user based on the personal information, recommendation means for the server means to recommend an educational institution and department based on the results of the analysis means, generation means for automatically generating campus tour information for the educational institution recommended by the recommendation means, and display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying it. This allows multiple steps to be performed consistently, enabling the user to efficiently and quickly select an educational institution that is most suitable for the user and obtain detailed campus tour information.

[0528] "Users" refers to people such as high school students and their parents who use this system to enter their personal information and receive recommendations from educational institutions.

[0529] "Terminal means" refers to a hardware device used by a user to input personal information, such as a smartphone or a personal computer.

[0530] "Server means" refers to a central computer system that receives personal information sent from terminal means and performs analysis and recommendations based on that information.

[0531] "Analysis means" refers to the algorithms and processing functions within the server means that organize and analyze personal information entered by the user (such as academic ability, geographical conditions, career aspirations, etc.) and select the most suitable educational institution and faculty.

[0532] "Recommendation means" refers to a function that creates and recommends a list of educational institutions and faculties suitable for the user based on the results obtained by the analysis means.

[0533] "Generation means" refers to a function that automatically generates detailed campus tour information about educational institutions selected by the recommendation means.

[0534] The "display means" refers to a function for transmitting the generated campus tour information to the user's terminal means and visually displaying it to the user.

[0535] "Campus tour information" refers to detailed information about the educational institution's main facilities, student life, classroom scenes, faculty, etc., providing users with information that allows them to understand the specific situation of the educational institution in advance.

[0536] "Database" refers to a digital data storage system used by the server to organize and store data such as users' personal information and analysis results.

[0537] "API" refers to the application programming interface used by the generating means to automatically generate campus tour information, and refers to the means that enables interaction between different software components.

[0538] The present invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is mainly composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, and a display means. Specific embodiments of the system are described below.

[0539] Hardware and Software Configuration

[0540] 1. Terminal means

[0541] Users: High school students and their parents access the system using devices such as smartphones and computers. The devices operate via a web browser or a dedicated app.

[0542] 2. Server Means

[0543] Server: The server operates based on a client-server model and receives personal information sent by users. The server is equipped with advanced analytical algorithms and a database system to process large amounts of data and select the most suitable educational institution.

[0544] 3. Analysis method

[0545] Server: The server's analytical means performs analysis based on input data such as the user's academic ability, geographical location, career aspirations, etc. For example, data analysis languages ​​such as Python and R can be used.

[0546] 4. Recommendation method

[0547] Server: Based on the analysis results, the server generates a list of educational institutions and departments that are most suitable for the user. The list generation algorithm may use machine learning models or statistical models.

[0548] 5. Generation means

[0549] Server: The server generates detailed campus tour information for the recommended universities. This information is retrieved via API, and may include, for example, a video introducing the university, photos of the facilities, and interviews with faculty.

[0550] 6. Display means

[0551] Device: The generated campus tour information is sent to the user's device and displayed in a browser or app. It is provided as an HTML web page or interactive content.

[0552] Specific example explanation

[0553] In the case of high school student A living in Tokyo

[0554] User: Mr. A, a third-year high school student living in Tokyo, is aiming to enter a science university and has a deviation score of 75. Mr. A accesses the system using his smartphone and enters the following information:

[0555] Standard deviation: 75

[0556] Residence area: Tokyo

[0557] Career aspirations: Research position

[0558] Prompt Sentence Examples

[0559] A, a third-year high school student living in Tokyo, aspires to study at a science university and has a deviation score of 75. Please explain in detail the processing steps of a system that recommends the best university for A and provides detailed campus tour information. For example, please provide a detailed description of how user information is entered, how it is analyzed, and what information is generated. Please also include an explanation of the specific operations.

[0560] System Operation

[0561] 1. Enter information

[0562] User A uses the device to enter his / her information and clicks the "Send" button.

[0563] 2. Receiving information

[0564] Server: Receives Mr. A's input information, stores it in a database, and prepares it for analysis.

[0565] 3. Analysis

[0566] Server: Using analytical tools, analyze A's academic ability, geographical location, and career aspirations, and select the most suitable university. For example, select "University No. 1, Faculty of Science" or "University No. 2, Faculty of Engineering."

[0567] 4. Generating a recommendation list

[0568] Server: Based on the analysis results, generate and recommend a list of universities and departments that are most suitable for Mr. A.

[0569] 5. Generation of campus tour information

[0570] Server: Generates detailed campus tour information for the recommended universities, including an introductory video of the Hongo campus, descriptions of major research facilities, photos of student dormitories, and video interviews with faculty.

[0571] 6. Information display

[0572] Terminal: The generated campus tour information is sent to Mr. A's terminal, and he can view it to understand specific information.

[0573] This system allows high school students and their parents to efficiently select the most suitable educational institution and simultaneously obtain detailed campus tour information.

[0574] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0575] Step 1:

[0576] Users enter their personal information using a device such as a smartphone or PC. They access the system's input form and enter data such as their academic ability score, residential area, and career aspirations. After entering the information, they click the send button to send it to the server.

[0577] Input: deviation score, residential area, career aspirations

[0578] Output: User information sent to the server (JSON format)

[0579] Specific behavior:

[0580] A user opens a web browser, visits the appropriate form, enters information, and clicks a submit button, which sends the information in JSON format to the server.

[0581] Step 2:

[0582] The server receives the information sent by the user and stores it in a database, and the received data is passed to an analysis means.

[0583] Input: User information (JSON format)

[0584] Output: User information stored in the database

[0585] Specific behavior:

[0586] The server parses the data it receives and inserts it into the appropriate tables in the database, then organizes the necessary data into a data structure for analysis.

[0587] Step 3:

[0588] The server's analytical means analyzes the academic ability, geographical location, and career aspirations of the user based on the user information stored in the database, and based on the analysis results, lists the most suitable educational institutions and departments.

[0589] Input: User information in the database

[0590] Output: Analysis results (list of best-fit institutions and departments)

[0591] Specific behavior:

[0592] An analytical algorithm is activated, which comprehensively analyzes the user's academic ability (standard deviation score), geographical conditions (area of ​​residence), and career aspirations to select the appropriate educational institution and department.

[0593] Step 4:

[0594] The server's recommendation mechanism generates a list of suitable educational institutions and departments for the user based on the analysis results, which best meet the user's requirements.

[0595] Input: Analysis results

[0596] Output: Recommendation list (recommended institutions and departments)

[0597] Specific behavior:

[0598] A list generation algorithm is run to generate a list of educational institutions and departments that are suitable for the user, for example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering."

[0599] Step 5:

[0600] A server-based generation process automatically generates detailed campus tour information for the recommended educational institution, including a school introduction video, details of key facilities, student housing, and faculty interview videos.

[0601] Input: Recommendation list

[0602] Output: Campus tour information

[0603] Specific behavior:

[0604] The server uses an API to automatically generate various information (videos, photos, text) about the recommended educational institutions and organizes it as campus tour information.

[0605] Step 6:

[0606] The server sends the generated campus tour information to the user's device, which receives it and displays it in a browser or app.

[0607] Input: Campus Tour Information

[0608] Output: Campus tour information displayed on the terminal

[0609] Specific behavior:

[0610] Campus tour information is generated in HTML format and sent to the user's device, where the user can view interactive content through their browser.

[0611] This series of steps allows high school students and their parents to efficiently select the most suitable educational institution and quickly obtain detailed campus tour information.

[0612] (Application example 1)

[0613] 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."

[0614] In today's brick-and-mortar stores, consumers spend time and effort selecting the best store and product from the many options available. Furthermore, detailed information about stores and products cannot be obtained in advance when visiting for the first time, which can make the shopping experience less enjoyable. This often leaves consumers feeling lost and inconvenienced when selecting a store or product. Furthermore, stores are often not providing enough information to customers, and are being called upon to strengthen their sales promotion activities.

[0615] 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.

[0616] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means, analysis means for the server means to select the most suitable facilities and products for the user based on the personal information, recommendation means for the server means to recommend facilities and products based on the results of the analysis means, generation means for automatically generating tour information about the facilities recommended by the recommendation means, and display means for transmitting the tour information generated by the generation means to the terminal means and displaying it. This enables consumers to efficiently select the most suitable stores and products and obtain detailed tour information in advance.

[0617] "Terminal means" refers to the devices or systems through which users input personal information. Examples of such devices include smartphones and personal computers.

[0618] The term "server means" refers to a central device or computer system that manages personal information received from the terminal means and processes it in cooperation with other system components.

[0619] "Analysis means" refers to the algorithms and software that the server means uses to select the most suitable facilities and products for the user based on personal information.

[0620] "Recommendation means" refers to a system or program for making recommendations to users based on facilities and products selected by the analysis means.

[0621] "Generation means" refers to a function or software that automatically generates tour information about facilities recommended by the recommendation means.

[0622] The "display means" refers to a display or interface that transmits the generated tour information to the terminal means and visually displays it to the user.

[0623] "Establishment" refers to a place or building where consumers visit and shop, such as a retail store, shopping center, or supermarket.

[0624] "Goods" refers to goods and services provided within the facility.

[0625] "Tour Information" refers to detailed interpretive materials and guides that include information about the main areas of the facility, the visitor experience, an overview of exhibits, and guides.

[0626] "User" refers to a consumer or user who inputs personal information and receives recommendations of the most suitable facilities and products.

[0627] The present invention relates to a system that enables users to efficiently select optimal facilities and products and obtain detailed tour information. This system is mainly composed of terminal means, server means, analysis means, recommendation means, generation means, and display means.

[0628] System Configuration and Operation

[0629] 1. Terminal means

[0630] User: A terminal used by a shopper, such as a smartphone or a PC. The user uses the terminal to input their personal information (preferences, budget, geographical location, etc.).

[0631] 2. Server Means

[0632] Server: Receives personal information sent from the terminal means and stores it in a database. Based on this information, the server uses analysis means to select the most suitable facilities and products for the user.

[0633] 3. Analysis method

[0634] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's preferences, budget, and geographical conditions. For example, if the user's budget is 5,000 yen, it will select stores and products that fit within that budget.

[0635] 4. Recommendation method

[0636] Server: Based on the results of the analysis, the server generates a list of multiple optimal facilities and products and recommends them to the user. This recommended list perfectly matches the user's wishes and conditions.

[0637] 5. Generation means

[0638] Server: Automatically generates detailed tour information about the recommended facility, including key areas of the facility, the visitor experience, an overview of exhibits, and details about the guide.

[0639] 6. Display means

[0640] Terminal: The generated tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended facilities and understand specifically which facilities to visit.

[0641] Hardware and software used

[0642] Hardware: Smartphones, PCs, server computers

[0643] Software: Python-based analytical algorithms, database management systems (e.g., MySQL), generative AI models (e.g., GPT-3.5)

[0644] Specific examples

[0645] For example, shopper B, who lives in Tokyo, is looking for casual fashion items and has a budget of 5,000 yen. First, shopper B uses his smartphone to enter his personal information into the system. The input information includes his preferences (casual fashion), budget (5,000 yen), and geographical location (Tokyo).

[0646] 1. Enter information

[0647] User B uses the terminal means to enter his / her information and clicks the send button.

[0648] 2. Receiving information

[0649] Server: Receives Mr. B's input information and prepares for analysis using the analysis means.

[0650] 3. Analysis

[0651] Server: Using analytical methods, select the best store candidates based on the conditions of casual fashion, a budget of 5,000 yen, and Tokyo. For example, select "Fashion Store A" or "Fashion Store B."

[0652] 4. Generating a recommendation list

[0653] Server: Based on the analysis results, recommend "Fashion Store A" and "Fashion Store B" as the best stores for Mr. B.

[0654] 5. Tour Information Generation

[0655] Server: Automatically generate the following tour information for the recommended "Fashion Store A."

[0656] Video introducing the main areas

[0657] In-store special offers and visitor experience details

[0658] Overview photo of recommended products

[0659] Interview video of the in-store guide

[0660] 6. Information display

[0661] Device: The generated tour information is sent to B's smartphone, where B can view it. This allows B to get detailed information about "Fashion Store A" and know in advance which facilities to visit.

[0662] Example prompts for generative AI models

[0663] User preference: Casual fashion

[0664] Budget: 5,000 yen

[0665] Current location: Shinjuku

[0666] Based on this information, please recommend stores in Shinjuku that sell casual fashion and generate tour information for those stores.

[0667] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0668] Step 1:

[0669] The user inputs their personal information using a terminal such as a smartphone. This information includes preferences, budget, and geographical location. The input information is sent to the server by pressing the send button.

[0670] Inputs: User preferences, budget, geography

[0671] Output: Personal information is sent to the server

[0672] Step 2:

[0673] The server stores the personal information received from the terminal means, and prepares to store the personal information in a database.

[0674] Input: Personal information sent from the terminal means

[0675] Output: This information is stored in a database

[0676] Step 3:

[0677] The server uses analytical tools to analyze the personal information in the database and selects the most suitable facilities and products based on the user's preferences, budget, and geographical location.

[0678] Input: Personal information stored on the server

[0679] Output: A list of suitable facilities and products

[0680] Step 4:

[0681] The server uses the recommendation means to make recommendations to the user based on the list of optimal facilities and products obtained from the analysis. The recommendation list perfectly matches the user's wishes and conditions.

[0682] Input: List of best facilities and products

[0683] Output: Recommendation list

[0684] Step 5:

[0685] The server uses the generating means to automatically generate detailed tour information about the recommended facility, including details about the facility's main areas, visitor experience, exhibit overview, and guide.

[0686] Input: Recommendation list

[0687] Output: Detailed tour information

[0688] Step 6:

[0689] The server transmits the generated tour information to the user's terminal, which visually displays the information, allowing the user to view the displayed information and deepen their understanding of the most suitable facilities.

[0690] Input: Detailed tour information

[0691] Output: Tour information displayed on a terminal device

[0692] 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.

[0693] The present invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, a display means, and an emotion engine.

[0694] System Configuration and Operation

[0695] 1. Terminal means

[0696] User: A device used by high school students and their parents, such as a smartphone or PC. Users use the device to input their personal information (academic ability, geographical location, career aspirations, emotional state).

[0697] 2. Server Means

[0698] Server: Receives personal information sent from the terminal means and stores it in a database. Based on this information, the server uses analysis means to select the educational institution and department that is most suitable for the user.

[0699] 3. Analysis method

[0700] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's academic ability, geographical location, and career aspirations. For example, if the user's deviation score is 75, a top-level university will be selected.

[0701] 4. Emotion Engine

[0702] Server: Analyzes the user's emotional state based on user input and feedback from the device. If the user is feeling stressed, the emotion engine will make adjustments, such as suggesting universities that offer a more relaxing environment.

[0703] 5. Recommendation method

[0704] Server: Based on the results of the analysis and emotion engine, the server generates and recommends to the user a list of multiple optimal educational institutions and departments that perfectly match the user's academic ability, geographical conditions, career aspirations, and emotional state.

[0705] 6. Generation means

[0706] Server: Automatically generates detailed campus tour information for recommended institutions, including details about the institution's key facilities, student life, classrooms, and faculty.

[0707] 7. Display means

[0708] Terminal: The generated campus tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended educational institution and specifically determine which facilities to visit.

[0709] Specific examples

[0710] For example, Mr. A, a third-year high school student living in Tokyo, aspires to enter a science-related university and has a deviation score of 75. Mr. A first uses his smartphone to enter his personal information into the system. The input information includes his academic ability (deviation score of 75), region (Tokyo), career aspirations (aspires to work in research), and emotional state (feels stressed before the semester exams).

[0711] 1. Enter information

[0712] User A uses the terminal means to enter his / her information and clicks the send button.

[0713] 2. Receiving information

[0714] Server: Receives the input information from Person A and prepares for analysis using the analysis means and emotion engine.

[0715] 3. Analysis

[0716] Server: Using analytical tools, select top-level science universities based on the following criteria: deviation score of 75, residence in Tokyo, and desire for a research position. For example, select "First University, Faculty of Science" or "Second University, Faculty of Engineering."

[0717] 4. Emotion analysis

[0718] Server: Using an emotion engine, analyze Mr. A's stress level and prioritize universities that offer a relaxing environment.

[0719] 5. Generating a recommendation list

[0720] Server: Based on the results of the analysis and sentiment analysis, recommend the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" as the most suitable universities for Mr. A.

[0721] 6. Generation of campus tour information

[0722] Server: Automatically generate the following campus tour information for the "Faculty of Science, Daiichi University."

[0723] Hongo Campus introduction video

[0724] Detailed descriptions of major research facilities and libraries

[0725] Student dormitory introduction photo

[0726] Interview videos of professors from the Faculty of Science

[0727] 7. Information display

[0728] Device: The generated campus tour information is sent to A's smartphone, where A can view it. This allows A to get detailed information about the Faculty of Science at Daiichi University and know in advance which facilities to visit.

[0729] This system allows high school students and their parents to efficiently select the most suitable educational institution from a vast amount of information and simultaneously obtain detailed campus tour information.In addition, by using an emotion engine, it is possible to make appropriate suggestions that take into account the user's psychological state.

[0730] The processing flow will be explained below.

[0731] Step 1:

[0732] User: Enters personal information (academic ability, region, career aspirations, and emotional state) into a device (smartphone or PC).

[0733] Step 2:

[0734] Terminal: Generates and sends a request to send the entered personal information to the server.

[0735] Step 3:

[0736] Server: Receives personal information sent from the device and stores it in a database.

[0737] Step 4:

[0738] Server: The received personal information is input into an analysis tool, and the most suitable educational institution and faculty are selected based on the user's academic ability, region, and career aspirations.

[0739] Step 5:

[0740] Server: As a result of the analysis, a list of universities and departments that best suit the user is generated. This list includes multiple educational institutions that best suit the user's criteria.

[0741] Step 6:

[0742] Server: Using the emotion engine, analyzes the user's emotional state based on input information and feedback from the device. If the user is feeling stressed, the emotion engine will make adjustments such as suggesting universities that offer a more relaxing environment.

[0743] Step 7:

[0744] Server: Integrates the results of the analysis tools and sentiment engine to generate a final list of recommended educational institutions and departments that are most suitable for the user.

[0745] Step 8:

[0746] Server: The generating means automatically generates detailed campus tour information about the recommended educational institution, including information about the institution's main facilities, student life, classroom scenes, and faculty.

[0747] Step 9:

[0748] Server: Generates and transmits a response for sending the generated campus tour information to the user's terminal.

[0749] Step 10:

[0750] Terminal: The received campus tour information is displayed on the user's screen, allowing the user to view detailed information about the recommended educational institution.

[0751] Step 11:

[0752] User: Based on the displayed campus tour information, select the university and facilities to visit.

[0753] Step 12:

[0754] Terminal: The user can enter additional questions or feedback as requested, and this information is also sent to the server and used for reanalysis.

[0755] The system allows users to make more detailed and personalized university selection decisions, receiving optimal suggestions that take their emotional state into account.

[0756] Example 2

[0757] 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."

[0758] In the past, collecting information to select the most suitable educational institution for high school students and their parents required a lot of time and effort. Furthermore, there was a lack of a way to make optimal recommendations that took into account the user's emotional state, rather than just academic ability and geographical location. Therefore, there was a need for a system that could reduce the psychological burden and enable more efficient selection of the most appropriate educational institution.

[0759] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0760] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means and storing it in a database, analysis means for the server means to select the most suitable educational institution and department for the user based on the personal information, an emotion engine for the server means to analyze the user's emotional state and make adjustments taking the results into consideration, recommendation means for the server means to recommend educational institutions and departments based on the results of the analysis means and the emotion engine, generation means for automatically generating campus tour information for the educational institutions recommended by the recommendation means, and display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying it. This makes it possible to select the most suitable educational institution and provide detailed information taking into consideration the individual characteristics and emotional state of the user.

[0761] "Terminal means" refers to a device such as a smartphone or a personal computer through which a user inputs personal information.

[0762] The "server means" is a server that receives personal information sent from the terminal means and stores it in a database.

[0763] "Analysis means" refers to algorithms or programs that select the most suitable educational institution and faculty for a user based on personal information.

[0764] An "emotion engine" is a system or program that analyzes a user's emotional state and makes adjustments based on the results.

[0765] The "recommendation means" is an algorithm or program for recommending educational institutions and departments to the user based on the results of the analysis means and the emotion engine.

[0766] The "generation means" is a system or program for automatically generating campus tour information about the educational institution recommended by the recommendation means.

[0767] The "display means" refers to a display device or application that transmits the campus tour information generated by the generation means to the terminal means and displays it to the user.

[0768] This invention is a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, a display means, and an emotion engine. The specific configuration and operation are described below.

[0769] Terminal means

[0770] User: A user uses a terminal such as a smartphone or PC to access a dedicated application or website. Through the terminal, the user inputs personal information such as academic ability, geographical location, career aspirations, and emotional state. For example, a third-year high school student named A might input information such as "standard deviation score 75," "Tokyo," "aspires to work in research," and "high stress."

[0771] Server Means

[0772] Server: The server receives personal information sent from the terminal means via the Internet and stores it in a secure database. For example, the information entered by Mr. A ("Standard deviation score 75," "Living in Tokyo," "Want a research position," "High stress") is stored in the database.

[0773] Analysis means

[0774] Server: The server extracts personal information from the database and uses analytical tools (e.g., machine learning models written in Python) to generate a list of suitable educational institutions based on the user's academic ability, geographic location, and career aspirations. For example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are selected as candidates.

[0775] Emotion Engine

[0776] Server: The server uses an emotion engine (e.g., an NLP model) to analyze the emotional state input by the user. If the user is feeling stressed, the emotion engine will preferentially suggest universities that offer a relaxing environment. For example, if Person A is in a stressful state, a university with a relaxing environment will be selected.

[0777] Recommendation method

[0778] Server: The server integrates the results of the analysis method and the emotion engine to generate a list of recommended educational institutions and departments. As a result, the server recommends the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" to Mr. A.

[0779] generation means

[0780] Server: The server uses a generation method (e.g., a content generation AI model) to automatically generate detailed campus tour information for the recommended educational institution. This information includes details about the institution's main facilities, student life, classroom scenes, and faculty. For example, it generates background knowledge and specific content for "Daiichi University, Faculty of Science."

[0781] Display means

[0782] Device: The user's device receives the campus tour information sent from the server and displays it. This allows the user to obtain detailed information about the recommended educational institution. For example, Person A views an introductory video and detailed facility information for the Faculty of Science at Daiichi University on his smartphone.

[0783] Examples of specific examples and prompts

[0784] For example, when a high school student named A living in Tokyo uses the system, the following steps are performed:

[0785] 1. Enter information

[0786] The user uses their smartphone to enter information such as "standard deviation score 75," "Tokyo," "want to work in research," and "high stress," and clicks the send button.

[0787] 2. Information Receipt and Storage

[0788] The server receives Mr. A's input information and stores it in a database.

[0789] 3. Analytics and Sentiment Analysis

[0790] The server analyzes the user information using an analytical means and selects "the first university's science department" or "the second university's engineering department." The emotion engine analyzes the user's emotional state and, if the user is under a lot of stress, prioritizes selecting a university where they can relax.

[0791] 4. Generating recommendation lists and campus tour information

[0792] The server uses the generating means to automatically generate campus tour information for the "First University, Faculty of Science."

[0793] 5. Information display

[0794] The user views the generated campus tour information on their smartphone.

[0795] This system allows users to efficiently select the most suitable educational institution from a vast amount of information and obtain detailed campus tour information. It also reduces the user's psychological burden by taking into account their emotional state.

[0796] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0797] Step 1:

[0798] The user enters personal information. Using a smartphone or computer, the user accesses a dedicated application or website and enters information such as academic ability, geographical location, career aspirations, and emotional state. For example, high school senior A enters "standard deviation score 75," "Tokyo," "aspires to work in research," and "high stress," and clicks the submit button. This input data is sent in JSON format.

[0799] Step 2:

[0800] The server receives the personal information and stores it in a database. The server receives the personal information sent from the device and stores it in a secure database. Specifically, it parses the JSON data sent by the user and stores it in a relational database such as MySQL. If this storage is successful, a flag is set to proceed to the next step.

[0801] Step 3:

[0802] The server retrieves user information from the database and analyzes it using analytical tools. The server then inputs the retrieved user information into a machine learning model written in Python, which generates a ranking of the most suitable educational institutions based on the user's academic ability, geographic location, and career aspirations. For example, based on Mr. A's information, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are selected with high rankings.

[0803] Step 4:

[0804] The server analyzes the user's emotional state using an emotion engine. The server inputs the user's emotional state information (e.g., stressful) into a natural language processing model (e.g., BERT) to analyze the user's emotional state. Based on the analysis results, educational institutions that offer relaxation are prioritized.

[0805] Step 5:

[0806] The server integrates the results of the analysis method and the emotion engine to generate a recommendation list. The server uses the integrated analysis results as browsing priorities to generate a list of optimal educational institutions and departments. For example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are recommended to Person A.

[0807] Step 6:

[0808] The server generates campus tour information using a generation method. The server uses a generative AI model (e.g., GPT-4) to automatically generate detailed campus tour information for the recommended educational institution. This information includes a campus introduction video, details of major research facilities and libraries, introductory photos of student dormitories, and interview videos of faculty members.

[0809] Step 7:

[0810] The device receives the generated campus tour information and displays it to the user. The server sends the generated campus tour information in JSON format to the device, which parses it and displays it. User A views detailed information (videos, photos, text) about the "Faculty of Science, Daiichi University" on his smartphone.

[0811] (Application example 2)

[0812] 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."

[0813] In recent years, users have been required to select the most suitable physical store based on their emotional state and purchasing intent, and to efficiently obtain detailed store information. However, currently, there is no system in place to address this need, and it takes a great deal of time and effort for users to find the appropriate physical store. Furthermore, since detailed store information is not provided, it is difficult for users to make accurate purchasing decisions. Therefore, there is a need for a system that allows users to easily and quickly find the most suitable physical store and provides detailed store information.

[0814] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0815] In this invention, the server includes terminal means for a user to input personal information and emotional state, server means for receiving the personal information and emotional state from the terminal means, analysis means for the server means to select a physical store that is most suitable for the user based on the personal information and emotional state, recommendation means for the server means to recommend physical stores based on the results of the analysis means, generation means for automatically generating store tour information for the physical stores recommended by the recommendation means, and display means for transmitting the store tour information generated by the generation means to the terminal means and displaying it. This enables the user to efficiently select a physical store that is most suitable for the user's emotional state and purchasing intention, and make an accurate purchasing decision based on detailed store information.

[0816] "Terminal means" refers to a device through which a user inputs personal information and emotional state, and specifically refers to a smartphone, a personal computer, or the like.

[0817] The "server means" is a server device that has the function of analyzing and making recommendations based on the personal information and emotional state received from the terminal means.

[0818] The "analysis means" is a function that executes an algorithm to select the most suitable physical store based on the user's personal information and emotional state.

[0819] The "recommendation means" is a function that recommends physical stores based on the results of the analysis means, and generates a list of stores that are optimal for the user.

[0820] The "generation means" is a function that automatically generates detailed store tour information about the physical store selected by the recommendation means.

[0821] The "display means" is a function that transmits the store tour information generated by the generation means to the terminal means and visually displays it to the user.

[0822] "Personal information" refers to specific information about an individual, such as the user's purchasing preferences or geographical location.

[0823] "Emotional state" is information that indicates the user's current mental and emotional state.

[0824] A "brick and mortar store" is a physical store where goods and services can be purchased in person.

[0825] "Store tour information" refers to detailed information about the main facilities of a physical store, product layout, sales scenes, and staff.

[0826] The present invention relates to a system in which a user inputs personal information and emotional state into a terminal means, and a server means analyzes the information, recommends the most suitable brick-and-mortar store, and provides detailed store tour information.

[0827] System Configuration and Operation

[0828] 1. Terminal means

[0829] A user inputs his / her personal information (purchase intention, geographical location, etc.) and emotional state using a terminal means such as a smartphone or a personal computer. The terminal means transmits this information to the server means.

[0830] 2. Server Means

[0831] The server means is a main component for processing the personal information and emotional states received from the terminal means. The server means is equipped with multiple analysis algorithms and an emotion analysis engine. The server means includes the following analysis means, recommendation means, generation means, and display means.

[0832] 3. Analysis method

[0833] The analysis means provided in the server means selects the most suitable brick-and-mortar store based on the user's personal information and emotional state. For example, it analyzes the user's purchasing intentions and geographical conditions using a clustering method (such as KMeans) to extract the most suitable brick-and-mortar store candidates.

[0834] 4. Recommendation method

[0835] Based on the results obtained by the analysis means, the server means uses the recommendation means to recommend the most suitable physical store to the user. The recommendation means takes into account the user's emotional state in addition to the results of the analysis means and lists stores that are relaxing and that stimulate the desire to buy.

[0836] 5. Generation means

[0837] For the recommended physical store, the server means automatically generates detailed store tour information using the generation means, including key product shelves, cash register locations, sale information, and staff introductions. The generative AI model can be used to generate in-store visual information and interview videos.

[0838] 6. Display means

[0839] The store tour information created by the generating means is sent to the user's terminal means using the display means. By viewing this information via the terminal means, the user can understand the details of the actual store in advance.

[0840] Hardware and software used

[0841] Hardware: Servers (AWS EC2, etc.), smartphones, PCs

[0842] software:

[0843] Server side: Python, Flask, pandas, scikit-learn

[0844] Client side: Smartphone app (React Native or Flutter), web browser

[0845] Specific examples

[0846] For example, consider a user in the emotional state of "I want to relax while shopping" who uses his or her smartphone to search for the best store. The user enters the following information into the system:

[0847] Example prompt sentence:

[0848] "I'm currently feeling stressed. I live in Tokyo. Can you recommend a place where I can relax?"

[0849] As a result, the server uses the analysis means and recommendation means to add relaxing stores (e.g., large supermarkets and cafes) that suit the user's emotional state to a recommendation list and generate detailed store tour information, which is sent to the user's smartphone, allowing the user to make appropriate purchasing decisions.

[0850] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0851] Step 1:

[0852] The user inputs personal information and emotional state using the terminal means.

[0853] Input: User's purchasing intent, geography, and emotional state

[0854] Output: A dataset of input information

[0855] Specific operation: A user starts the application using a smartphone or a PC and inputs personal information such as purchasing intentions and emotional state (e.g., stress level). The input information is saved in the terminal means and transmitted to the server means.

[0856] Step 2:

[0857] The personal information and emotional state are transmitted from the terminal means to the server means.

[0858] Input: Personal information and emotional state from a terminal device

[0859] Output: Received data to the server means

[0860] Specific operation: The terminal means transmits the input information as a packet to the server means, which receives the information and prepares for analysis.

[0861] Step 3:

[0862] The server means uses the analysis means to analyze the personal information and emotional state.

[0863] Input: Personal information and emotional state received by the server means

[0864] Output: The best brick-and-mortar store candidates as a result of the analysis

[0865] Specific operation: The server uses analytical algorithms such as the KMeans clustering method to extract optimal store candidates based on the user's purchasing intentions and geographical conditions. The analytical means clusters the data and generates a list of physical stores suitable for the user.

[0866] Step 4:

[0867] The server means uses an emotion engine to analyze the user's emotional state and adjust the recommendation list.

[0868] Input: Analysis results and user's emotional state

[0869] Output: A tailored list of optimal brick-and-mortar stores

[0870] Specific operation: The server means uses the emotion engine to analyze the received emotional state (e.g., stress state) and prioritizes a list of stores that provide a relaxing environment. The recommendation list is effectively adjusted based on this.

[0871] Step 5:

[0872] The server means automatically generates detailed store tour information using the generating means.

[0873] Input: Tailored optimal brick-and-mortar store list

[0874] Output: Automatically generated store tour information

[0875] Specific operations: The server means uses the generative AI model to generate detailed store tour information, such as visual information and interview videos, for the listed physical stores. The generated information is of high quality and is configured to allow users to gain a detailed understanding of the stores.

[0876] Step 6:

[0877] The server means transmits the generated store tour information to the terminal means.

[0878] Input: Auto-generated store tour information

[0879] Output: Data sent to a terminal device

[0880] Specific operation: The server means transmits the generated store tour information to the terminal means as a data packet. After transmission, the information becomes viewable on the user's terminal.

[0881] Step 7:

[0882] The user uses the terminal means to view the store tour information and make the best purchasing decision.

[0883] Input: Store tour information displayed on the terminal

[0884] Output: User's store selection and purchasing behavior

[0885] Specific operations: The user browses the detailed store tour information displayed on the terminal and checks the main facilities and product layout in the store, which allows the user to make an appropriate purchasing decision and decide on the next course of action.

[0886] 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.

[0887] 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.

[0888] 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.

[0889] [Third embodiment]

[0890] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0891] 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.

[0892] 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).

[0893] 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.

[0894] 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.

[0895] 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).

[0896] 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.

[0897] 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.

[0898] 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.

[0899] 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.

[0900] 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.

[0901] 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."

[0902] This invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is mainly composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, and a display means.

[0903] System Configuration and Operation

[0904] 1. Terminal means

[0905] User: A device used by high school students and their parents, such as a smartphone or PC. Users use the device to input their personal information (such as academic ability, geographical location, and career aspirations).

[0906] 2. Server Means

[0907] Server: Receives personal information sent from the terminal means and stores it in a data structure. Based on this information, the server uses analytical means to select the educational institution and department that best suits the user.

[0908] 3. Analysis method

[0909] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's academic ability, geographical location, and career aspirations. For example, if the user's deviation score is 75, a top-level university will be selected.

[0910] 4. Recommendation method

[0911] Server: Based on the results of the analysis, the server generates a list of multiple optimal educational institutions and departments and recommends them to the user. This recommended list perfectly matches the user's preferences and requirements.

[0912] 5. Generation means

[0913] Server: Automatically generates detailed campus tour information for the recommended educational institutions, including details about the institution's key facilities, student life, classrooms, and faculty.

[0914] 6. Display means

[0915] Terminal: The generated campus tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended educational institution and specifically determine which facilities to visit.

[0916] Specific examples

[0917] For example, Mr. A, a third-year high school student living in Tokyo, aspires to study at a science university and has a deviation score of 75. Mr. A first uses his smartphone to enter his personal information into the system. The input information includes his academic ability (deviation score of 75), region (Tokyo), and career aspirations (research career aspirations).

[0918] 1. Enter information

[0919] User A uses the terminal means to enter his / her information and clicks the send button.

[0920] 2. Receiving information

[0921] Server: Receives the information entered by Mr. A and prepares for analysis using the analysis means.

[0922] 3. Analysis

[0923] Server: Using analytical tools, select top-level science universities based on the following criteria: deviation score of 75, residence in Tokyo, and desire for a research position. For example, select "First University, Faculty of Science" or "Second University, Faculty of Engineering."

[0924] 4. Generating a recommendation list

[0925] Server: Based on the analysis results, recommend the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" as the most suitable universities for Mr. A.

[0926] 5. Generation of campus tour information

[0927] Server: Automatically generate the following campus tour information for the recommended "Faculty of Science, Daiichi University."

[0928] Hongo Campus introduction video

[0929] Detailed descriptions of major research facilities and libraries

[0930] Student dormitory introduction photo

[0931] Interview videos of professors from the Faculty of Science

[0932] 6. Information display

[0933] Device: The generated campus tour information is sent to A's smartphone, where A can view it. This allows A to get detailed information about the Faculty of Science at Daiichi University and know in advance which facilities to visit.

[0934] This system allows high school students and their parents to efficiently select the most suitable educational institution from a vast amount of information and simultaneously obtain detailed campus tour information.

[0935] The processing flow will be explained below.

[0936] Step 1:

[0937] User: Enter personal information (academic ability, region, career aspirations, etc.) into a device (smartphone or PC).

[0938] Step 2:

[0939] Terminal: Generates and sends a request to send the entered personal information to the server.

[0940] Step 3:

[0941] Server: Receives personal information sent from the device and stores it in a database.

[0942] Step 4:

[0943] Server: The received personal information is input into an analysis tool, and the most suitable educational institution and faculty are selected based on academic ability, region, and career aspirations.

[0944] Step 5:

[0945] Server: As a result of the analysis, a list of universities and departments that best suit the user is generated. This list includes multiple educational institutions that best suit the user's criteria.

[0946] Step 6:

[0947] Server: Based on the generated list of universities and faculties, the server calls a generating means for generating detailed campus tour information for each educational institution.

[0948] Step 7:

[0949] Server: The generation means automatically generates information about the institution's main facilities, student life, classroom scenes, and faculty. If necessary, images and videos are also generated.

[0950] Step 8:

[0951] Server: Generates and transmits a response for sending the generated campus tour information to the user's terminal.

[0952] Step 9:

[0953] Terminal: The received campus tour information is displayed on the user's screen, allowing the user to view detailed information about the recommended educational institution.

[0954] Step 10:

[0955] User: Based on the displayed campus tour information, select the university and facilities to visit.

[0956] Example 1

[0957] 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."

[0958] Conventional educational institution selection systems make it difficult for high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. In particular, there was no system that could analyze and recommend based on personal information, and then generate and display campus tour information in a single flow. Furthermore, the processes of inputting and receiving information, analyzing, recommending, generating, and displaying information lacked consistency and efficiency.

[0959] 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.

[0960] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means, analysis means for the server means to select an educational institution and department that is most suitable for the user based on the personal information, recommendation means for the server means to recommend an educational institution and department based on the results of the analysis means, generation means for automatically generating campus tour information for the educational institution recommended by the recommendation means, and display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying it. This allows multiple steps to be performed consistently, enabling the user to efficiently and quickly select an educational institution that is most suitable for the user and obtain detailed campus tour information.

[0961] "Users" refers to people such as high school students and their parents who use this system to enter their personal information and receive recommendations from educational institutions.

[0962] "Terminal means" refers to a hardware device used by a user to input personal information, such as a smartphone or a personal computer.

[0963] "Server means" refers to a central computer system that receives personal information sent from terminal means and performs analysis and recommendations based on that information.

[0964] "Analysis means" refers to the algorithms and processing functions within the server means that organize and analyze personal information entered by the user (such as academic ability, geographical conditions, career aspirations, etc.) and select the most suitable educational institution and faculty.

[0965] "Recommendation means" refers to a function that creates and recommends a list of educational institutions and faculties suitable for the user based on the results obtained by the analysis means.

[0966] "Generation means" refers to a function that automatically generates detailed campus tour information about educational institutions selected by the recommendation means.

[0967] The "display means" refers to a function for transmitting the generated campus tour information to the user's terminal means and visually displaying it to the user.

[0968] "Campus tour information" refers to detailed information about the educational institution's main facilities, student life, classroom scenes, faculty, etc., providing users with information that allows them to understand the specific situation of the educational institution in advance.

[0969] "Database" refers to a digital data storage system used by the server to organize and store data such as users' personal information and analysis results.

[0970] "API" refers to the application programming interface used by the generating means to automatically generate campus tour information, and refers to the means that enables interaction between different software components.

[0971] The present invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is mainly composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, and a display means. Specific embodiments of the system are described below.

[0972] Hardware and Software Configuration

[0973] 1. Terminal means

[0974] Users: High school students and their parents access the system using devices such as smartphones and computers. The devices operate via a web browser or a dedicated app.

[0975] 2. Server Means

[0976] Server: The server operates based on a client-server model and receives personal information sent by users. The server is equipped with advanced analytical algorithms and a database system to process large amounts of data and select the most suitable educational institution.

[0977] 3. Analysis method

[0978] Server: The server's analytical means performs analysis based on input data such as the user's academic ability, geographical location, career aspirations, etc. For example, data analysis languages ​​such as Python and R can be used.

[0979] 4. Recommendation method

[0980] Server: Based on the analysis results, the server generates a list of educational institutions and departments that are most suitable for the user. The list generation algorithm may use machine learning models or statistical models.

[0981] 5. Generation means

[0982] Server: The server generates detailed campus tour information for the recommended universities. This information is retrieved via API, and may include, for example, a video introducing the university, photos of the facilities, and interviews with faculty.

[0983] 6. Display means

[0984] Device: The generated campus tour information is sent to the user's device and displayed in a browser or app. It is provided as an HTML web page or interactive content.

[0985] Specific example explanation

[0986] In the case of high school student A living in Tokyo

[0987] User: Mr. A, a third-year high school student living in Tokyo, is aiming to enter a science university and has a deviation score of 75. Mr. A accesses the system using his smartphone and enters the following information:

[0988] Standard deviation: 75

[0989] Residence area: Tokyo

[0990] Career aspirations: Research position

[0991] Prompt Sentence Examples

[0992] A, a third-year high school student living in Tokyo, aspires to study at a science university and has a deviation score of 75. Please explain in detail the processing steps of a system that recommends the best university for A and provides detailed campus tour information. For example, please provide a detailed description of how user information is entered, how it is analyzed, and what information is generated. Please also include an explanation of the specific operations.

[0993] System Operation

[0994] 1. Enter information

[0995] User A uses the device to enter his / her information and clicks the "Send" button.

[0996] 2. Receiving information

[0997] Server: Receives Mr. A's input information, stores it in a database, and prepares it for analysis.

[0998] 3. Analysis

[0999] Server: Using analytical tools, analyze A's academic ability, geographical location, and career aspirations, and select the most suitable university. For example, select "University No. 1, Faculty of Science" or "University No. 2, Faculty of Engineering."

[1000] 4. Generating a recommendation list

[1001] Server: Based on the analysis results, generate and recommend a list of universities and departments that are most suitable for Mr. A.

[1002] 5. Generation of campus tour information

[1003] Server: Generates detailed campus tour information for the recommended universities, including an introductory video of the Hongo campus, descriptions of major research facilities, photos of student dormitories, and video interviews with faculty.

[1004] 6. Information display

[1005] Terminal: The generated campus tour information is sent to Mr. A's terminal, and he can view it to understand specific information.

[1006] This system allows high school students and their parents to efficiently select the most suitable educational institution and simultaneously obtain detailed campus tour information.

[1007] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1008] Step 1:

[1009] Users enter their personal information using a device such as a smartphone or PC. They access the system's input form and enter data such as their academic ability score, residential area, and career aspirations. After entering the information, they click the send button to send it to the server.

[1010] Input: deviation score, residential area, career aspirations

[1011] Output: User information sent to the server (JSON format)

[1012] Specific behavior:

[1013] A user opens a web browser, visits the appropriate form, enters information, and clicks a submit button, which sends the information in JSON format to the server.

[1014] Step 2:

[1015] The server receives the information sent by the user and stores it in a database, and the received data is passed to an analysis means.

[1016] Input: User information (JSON format)

[1017] Output: User information stored in the database

[1018] Specific behavior:

[1019] The server parses the data it receives and inserts it into the appropriate tables in the database, then organizes the necessary data into a data structure for analysis.

[1020] Step 3:

[1021] The server's analytical means analyzes the academic ability, geographical location, and career aspirations of the user based on the user information stored in the database, and based on the analysis results, lists the most suitable educational institutions and departments.

[1022] Input: User information in the database

[1023] Output: Analysis results (list of best-fit institutions and departments)

[1024] Specific behavior:

[1025] An analytical algorithm is activated, which comprehensively analyzes the user's academic ability (standard deviation score), geographical conditions (area of ​​residence), and career aspirations to select the appropriate educational institution and department.

[1026] Step 4:

[1027] The server's recommendation mechanism generates a list of suitable educational institutions and departments for the user based on the analysis results, which best meet the user's requirements.

[1028] Input: Analysis results

[1029] Output: Recommendation list (recommended institutions and departments)

[1030] Specific behavior:

[1031] A list generation algorithm is run to generate a list of educational institutions and departments that are suitable for the user, for example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering."

[1032] Step 5:

[1033] A server-based generation process automatically generates detailed campus tour information for the recommended educational institution, including a school introduction video, details of key facilities, student housing, and faculty interview videos.

[1034] Input: Recommendation list

[1035] Output: Campus tour information

[1036] Specific behavior:

[1037] The server uses an API to automatically generate various information (videos, photos, text) about the recommended educational institutions and organizes it as campus tour information.

[1038] Step 6:

[1039] The server sends the generated campus tour information to the user's device, which receives it and displays it in a browser or app.

[1040] Input: Campus Tour Information

[1041] Output: Campus tour information displayed on the terminal

[1042] Specific behavior:

[1043] Campus tour information is generated in HTML format and sent to the user's device, where the user can view interactive content through their browser.

[1044] This series of steps allows high school students and their parents to efficiently select the most suitable educational institution and quickly obtain detailed campus tour information.

[1045] (Application example 1)

[1046] 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."

[1047] In today's brick-and-mortar stores, consumers spend time and effort selecting the best store and product from the many options available. Furthermore, detailed information about stores and products cannot be obtained in advance when visiting for the first time, which can make the shopping experience less enjoyable. This often leaves consumers feeling lost and inconvenienced when selecting a store or product. Furthermore, stores are often not providing enough information to customers, and are being called upon to strengthen their sales promotion activities.

[1048] 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.

[1049] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means, analysis means for the server means to select the most suitable facilities and products for the user based on the personal information, recommendation means for the server means to recommend facilities and products based on the results of the analysis means, generation means for automatically generating tour information about the facilities recommended by the recommendation means, and display means for transmitting the tour information generated by the generation means to the terminal means and displaying it. This enables consumers to efficiently select the most suitable stores and products and obtain detailed tour information in advance.

[1050] "Terminal means" refers to the devices or systems through which users input personal information. Examples of such devices include smartphones and personal computers.

[1051] The term "server means" refers to a central device or computer system that manages personal information received from the terminal means and processes it in cooperation with other system components.

[1052] "Analysis means" refers to the algorithms and software that the server means uses to select the most suitable facilities and products for the user based on personal information.

[1053] "Recommendation means" refers to a system or program for making recommendations to users based on facilities and products selected by the analysis means.

[1054] "Generation means" refers to a function or software that automatically generates tour information about facilities recommended by the recommendation means.

[1055] The "display means" refers to a display or interface that transmits the generated tour information to the terminal means and visually displays it to the user.

[1056] "Establishment" refers to a place or building where consumers visit and shop, such as a retail store, shopping center, or supermarket.

[1057] "Goods" refers to goods and services provided within the facility.

[1058] "Tour Information" refers to detailed interpretive materials and guides that include information about the main areas of the facility, the visitor experience, an overview of exhibits, and guides.

[1059] "User" refers to a consumer or user who inputs personal information and receives recommendations of the most suitable facilities and products.

[1060] The present invention relates to a system that enables users to efficiently select optimal facilities and products and obtain detailed tour information. This system is mainly composed of terminal means, server means, analysis means, recommendation means, generation means, and display means.

[1061] System Configuration and Operation

[1062] 1. Terminal means

[1063] User: A terminal used by a shopper, such as a smartphone or a PC. The user uses the terminal to input their personal information (preferences, budget, geographical location, etc.).

[1064] 2. Server Means

[1065] Server: Receives personal information sent from the terminal means and stores it in a database. Based on this information, the server uses analysis means to select the most suitable facilities and products for the user.

[1066] 3. Analysis method

[1067] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's preferences, budget, and geographical conditions. For example, if the user's budget is 5,000 yen, it will select stores and products that fit within that budget.

[1068] 4. Recommendation method

[1069] Server: Based on the results of the analysis, the server generates a list of multiple optimal facilities and products and recommends them to the user. This recommended list perfectly matches the user's wishes and conditions.

[1070] 5. Generation means

[1071] Server: Automatically generates detailed tour information about the recommended facility, including key areas of the facility, the visitor experience, an overview of exhibits, and details about the guide.

[1072] 6. Display means

[1073] Terminal: The generated tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended facilities and understand specifically which facilities to visit.

[1074] Hardware and software used

[1075] Hardware: Smartphones, PCs, server computers

[1076] Software: Python-based analytical algorithms, database management systems (e.g., MySQL), generative AI models (e.g., GPT-3.5)

[1077] Specific examples

[1078] For example, shopper B, who lives in Tokyo, is looking for casual fashion items and has a budget of 5,000 yen. First, shopper B uses his smartphone to enter his personal information into the system. The input information includes his preferences (casual fashion), budget (5,000 yen), and geographical location (Tokyo).

[1079] 1. Enter information

[1080] User B uses the terminal means to enter his / her information and clicks the send button.

[1081] 2. Receiving information

[1082] Server: Receives Mr. B's input information and prepares for analysis using the analysis means.

[1083] 3. Analysis

[1084] Server: Using analytical methods, select the best store candidates based on the conditions of casual fashion, a budget of 5,000 yen, and Tokyo. For example, select "Fashion Store A" or "Fashion Store B."

[1085] 4. Generating a recommendation list

[1086] Server: Based on the analysis results, recommend "Fashion Store A" and "Fashion Store B" as the best stores for Mr. B.

[1087] 5. Tour Information Generation

[1088] Server: Automatically generate the following tour information for the recommended "Fashion Store A."

[1089] Video introducing the main areas

[1090] In-store special offers and visitor experience details

[1091] Overview photo of recommended products

[1092] Interview video of the in-store guide

[1093] 6. Information display

[1094] Device: The generated tour information is sent to B's smartphone, where B can view it. This allows B to get detailed information about "Fashion Store A" and know in advance which facilities to visit.

[1095] Example prompts for generative AI models

[1096] User preference: Casual fashion

[1097] Budget: 5,000 yen

[1098] Current location: Shinjuku

[1099] Based on this information, please recommend stores in Shinjuku that sell casual fashion and generate tour information for those stores.

[1100] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1101] Step 1:

[1102] The user inputs their personal information using a terminal such as a smartphone. This information includes preferences, budget, and geographical location. The input information is sent to the server by pressing the send button.

[1103] Inputs: User preferences, budget, geography

[1104] Output: Personal information is sent to the server

[1105] Step 2:

[1106] The server stores the personal information received from the terminal means, and prepares to store the personal information in a database.

[1107] Input: Personal information sent from the terminal means

[1108] Output: This information is stored in a database

[1109] Step 3:

[1110] The server uses analytical tools to analyze the personal information in the database and selects the most suitable facilities and products based on the user's preferences, budget, and geographical location.

[1111] Input: Personal information stored on the server

[1112] Output: A list of suitable facilities and products

[1113] Step 4:

[1114] The server uses the recommendation means to make recommendations to the user based on the list of optimal facilities and products obtained from the analysis. The recommendation list perfectly matches the user's wishes and conditions.

[1115] Input: List of best facilities and products

[1116] Output: Recommendation list

[1117] Step 5:

[1118] The server uses the generating means to automatically generate detailed tour information about the recommended facility, including details about the facility's main areas, visitor experience, exhibit overview, and guide.

[1119] Input: Recommendation list

[1120] Output: Detailed tour information

[1121] Step 6:

[1122] The server transmits the generated tour information to the user's terminal, which visually displays the information, allowing the user to view the displayed information and deepen their understanding of the most suitable facilities.

[1123] Input: Detailed tour information

[1124] Output: Tour information displayed on a terminal device

[1125] 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.

[1126] The present invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, a display means, and an emotion engine.

[1127] System Configuration and Operation

[1128] 1. Terminal means

[1129] User: A device used by high school students and their parents, such as a smartphone or PC. Users use the device to input their personal information (academic ability, geographical location, career aspirations, emotional state).

[1130] 2. Server Means

[1131] Server: Receives personal information sent from the terminal means and stores it in a database. Based on this information, the server uses analysis means to select the educational institution and department that is most suitable for the user.

[1132] 3. Analysis method

[1133] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's academic ability, geographical location, and career aspirations. For example, if the user's deviation score is 75, a top-level university will be selected.

[1134] 4. Emotion Engine

[1135] Server: Analyzes the user's emotional state based on user input and feedback from the device. If the user is feeling stressed, the emotion engine will make adjustments, such as suggesting universities that offer a more relaxing environment.

[1136] 5. Recommendation method

[1137] Server: Based on the results of the analysis and emotion engine, the server generates and recommends to the user a list of multiple optimal educational institutions and departments that perfectly match the user's academic ability, geographical conditions, career aspirations, and emotional state.

[1138] 6. Generation means

[1139] Server: Automatically generates detailed campus tour information for recommended institutions, including details about the institution's key facilities, student life, classrooms, and faculty.

[1140] 7. Display means

[1141] Terminal: The generated campus tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended educational institution and specifically determine which facilities to visit.

[1142] Specific examples

[1143] For example, Mr. A, a third-year high school student living in Tokyo, aspires to enter a science-related university and has a deviation score of 75. Mr. A first uses his smartphone to enter his personal information into the system. The input information includes his academic ability (deviation score of 75), region (Tokyo), career aspirations (aspires to work in research), and emotional state (feels stressed before the semester exams).

[1144] 1. Enter information

[1145] User A uses the terminal means to enter his / her information and clicks the send button.

[1146] 2. Receiving information

[1147] Server: Receives the input information from Person A and prepares for analysis using the analysis means and emotion engine.

[1148] 3. Analysis

[1149] Server: Using analytical tools, select top-level science universities based on the following criteria: deviation score of 75, residence in Tokyo, and desire for a research position. For example, select "First University, Faculty of Science" or "Second University, Faculty of Engineering."

[1150] 4. Emotion analysis

[1151] Server: Using an emotion engine, analyze Mr. A's stress level and prioritize universities that offer a relaxing environment.

[1152] 5. Generating a recommendation list

[1153] Server: Based on the results of the analysis and sentiment analysis, recommend the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" as the most suitable universities for Mr. A.

[1154] 6. Generation of campus tour information

[1155] Server: Automatically generate the following campus tour information for the "Faculty of Science, Daiichi University."

[1156] Hongo Campus introduction video

[1157] Detailed descriptions of major research facilities and libraries

[1158] Student dormitory introduction photo

[1159] Interview videos of professors from the Faculty of Science

[1160] 7. Information display

[1161] Device: The generated campus tour information is sent to A's smartphone, where A can view it. This allows A to get detailed information about the Faculty of Science at Daiichi University and know in advance which facilities to visit.

[1162] This system allows high school students and their parents to efficiently select the most suitable educational institution from a vast amount of information and simultaneously obtain detailed campus tour information.In addition, by using an emotion engine, it is possible to make appropriate suggestions that take into account the user's psychological state.

[1163] The processing flow will be explained below.

[1164] Step 1:

[1165] User: Enters personal information (academic ability, region, career aspirations, and emotional state) into a device (smartphone or PC).

[1166] Step 2:

[1167] Terminal: Generates and sends a request to send the entered personal information to the server.

[1168] Step 3:

[1169] Server: Receives personal information sent from the device and stores it in a database.

[1170] Step 4:

[1171] Server: The received personal information is input into an analysis tool, and the most suitable educational institution and faculty are selected based on the user's academic ability, region, and career aspirations.

[1172] Step 5:

[1173] Server: As a result of the analysis, a list of universities and departments that best suit the user is generated. This list includes multiple educational institutions that best suit the user's criteria.

[1174] Step 6:

[1175] Server: Using the emotion engine, analyzes the user's emotional state based on input information and feedback from the device. If the user is feeling stressed, the emotion engine will make adjustments such as suggesting universities that offer a more relaxing environment.

[1176] Step 7:

[1177] Server: Integrates the results of the analysis tools and sentiment engine to generate a final list of recommended educational institutions and departments that are most suitable for the user.

[1178] Step 8:

[1179] Server: The generating means automatically generates detailed campus tour information about the recommended educational institution, including information about the institution's main facilities, student life, classroom scenes, and faculty.

[1180] Step 9:

[1181] Server: Generates and transmits a response for sending the generated campus tour information to the user's terminal.

[1182] Step 10:

[1183] Terminal: The received campus tour information is displayed on the user's screen, allowing the user to view detailed information about the recommended educational institution.

[1184] Step 11:

[1185] User: Based on the displayed campus tour information, select the university and facilities to visit.

[1186] Step 12:

[1187] Terminal: The user can enter additional questions or feedback as requested, and this information is also sent to the server and used for reanalysis.

[1188] The system allows users to make more detailed and personalized university selection decisions, receiving optimal suggestions that take their emotional state into account.

[1189] Example 2

[1190] 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."

[1191] In the past, collecting information to select the most suitable educational institution for high school students and their parents required a lot of time and effort. Furthermore, there was a lack of a way to make optimal recommendations that took into account the user's emotional state, rather than just academic ability and geographical location. Therefore, there was a need for a system that could reduce the psychological burden and enable more efficient selection of the most appropriate educational institution.

[1192] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1193] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means and storing it in a database, analysis means for the server means to select the most suitable educational institution and department for the user based on the personal information, an emotion engine for the server means to analyze the user's emotional state and make adjustments taking the results into consideration, recommendation means for the server means to recommend educational institutions and departments based on the results of the analysis means and the emotion engine, generation means for automatically generating campus tour information for the educational institutions recommended by the recommendation means, and display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying it. This makes it possible to select the most suitable educational institution and provide detailed information taking into consideration the individual characteristics and emotional state of the user.

[1194] "Terminal means" refers to a device such as a smartphone or a personal computer through which a user inputs personal information.

[1195] The "server means" is a server that receives personal information sent from the terminal means and stores it in a database.

[1196] "Analysis means" refers to algorithms or programs that select the most suitable educational institution and faculty for a user based on personal information.

[1197] An "emotion engine" is a system or program that analyzes a user's emotional state and makes adjustments based on the results.

[1198] The "recommendation means" is an algorithm or program for recommending educational institutions and departments to the user based on the results of the analysis means and the emotion engine.

[1199] The "generation means" is a system or program for automatically generating campus tour information about the educational institution recommended by the recommendation means.

[1200] The "display means" refers to a display device or application that transmits the campus tour information generated by the generation means to the terminal means and displays it to the user.

[1201] This invention is a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, a display means, and an emotion engine. The specific configuration and operation are described below.

[1202] Terminal means

[1203] User: A user uses a terminal such as a smartphone or PC to access a dedicated application or website. Through the terminal, the user inputs personal information such as academic ability, geographical location, career aspirations, and emotional state. For example, a third-year high school student named A might input information such as "standard deviation score 75," "Tokyo," "aspires to work in research," and "high stress."

[1204] Server Means

[1205] Server: The server receives personal information sent from the terminal means via the Internet and stores it in a secure database. For example, the information entered by Mr. A ("Standard deviation score 75," "Living in Tokyo," "Want a research position," "High stress") is stored in the database.

[1206] Analysis means

[1207] Server: The server extracts personal information from the database and uses analytical tools (e.g., machine learning models written in Python) to generate a list of suitable educational institutions based on the user's academic ability, geographic location, and career aspirations. For example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are selected as candidates.

[1208] Emotion Engine

[1209] Server: The server uses an emotion engine (e.g., an NLP model) to analyze the emotional state input by the user. If the user is feeling stressed, the emotion engine will preferentially suggest universities that offer a relaxing environment. For example, if Person A is in a stressful state, a university with a relaxing environment will be selected.

[1210] Recommendation method

[1211] Server: The server integrates the results of the analysis method and the emotion engine to generate a list of recommended educational institutions and departments. As a result, the server recommends the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" to Mr. A.

[1212] generation means

[1213] Server: The server uses a generation method (e.g., a content generation AI model) to automatically generate detailed campus tour information for the recommended educational institution. This information includes details about the institution's main facilities, student life, classroom scenes, and faculty. For example, it generates background knowledge and specific content for "Daiichi University, Faculty of Science."

[1214] Display means

[1215] Device: The user's device receives the campus tour information sent from the server and displays it. This allows the user to obtain detailed information about the recommended educational institution. For example, Person A views an introductory video and detailed facility information for the Faculty of Science at Daiichi University on his smartphone.

[1216] Examples of specific examples and prompts

[1217] For example, when a high school student named A living in Tokyo uses the system, the following steps are performed:

[1218] 1. Enter information

[1219] The user uses their smartphone to enter information such as "standard deviation score 75," "Tokyo," "want to work in research," and "high stress," and clicks the send button.

[1220] 2. Information Receipt and Storage

[1221] The server receives Mr. A's input information and stores it in a database.

[1222] 3. Analytics and Sentiment Analysis

[1223] The server analyzes the user information using an analytical means and selects "the first university's science department" or "the second university's engineering department." The emotion engine analyzes the user's emotional state and, if the user is under a lot of stress, prioritizes selecting a university where they can relax.

[1224] 4. Generating recommendation lists and campus tour information

[1225] The server uses the generating means to automatically generate campus tour information for the "First University, Faculty of Science."

[1226] 5. Information display

[1227] The user views the generated campus tour information on their smartphone.

[1228] This system allows users to efficiently select the most suitable educational institution from a vast amount of information and obtain detailed campus tour information. It also reduces the user's psychological burden by taking into account their emotional state.

[1229] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1230] Step 1:

[1231] The user enters personal information. Using a smartphone or computer, the user accesses a dedicated application or website and enters information such as academic ability, geographical location, career aspirations, and emotional state. For example, high school senior A enters "standard deviation score 75," "Tokyo," "aspires to work in research," and "high stress," and clicks the submit button. This input data is sent in JSON format.

[1232] Step 2:

[1233] The server receives the personal information and stores it in a database. The server receives the personal information sent from the device and stores it in a secure database. Specifically, it parses the JSON data sent by the user and stores it in a relational database such as MySQL. If this storage is successful, a flag is set to proceed to the next step.

[1234] Step 3:

[1235] The server retrieves user information from the database and analyzes it using analytical tools. The server then inputs the retrieved user information into a machine learning model written in Python, which generates a ranking of the most suitable educational institutions based on the user's academic ability, geographic location, and career aspirations. For example, based on Mr. A's information, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are selected with high rankings.

[1236] Step 4:

[1237] The server analyzes the user's emotional state using an emotion engine. The server inputs the user's emotional state information (e.g., stressful) into a natural language processing model (e.g., BERT) to analyze the user's emotional state. Based on the analysis results, educational institutions that offer relaxation are prioritized.

[1238] Step 5:

[1239] The server integrates the results of the analysis method and the emotion engine to generate a recommendation list. The server uses the integrated analysis results as browsing priorities to generate a list of optimal educational institutions and departments. For example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are recommended to Person A.

[1240] Step 6:

[1241] The server generates campus tour information using a generation method. The server uses a generative AI model (e.g., GPT-4) to automatically generate detailed campus tour information for the recommended educational institution. This information includes a campus introduction video, details of major research facilities and libraries, introductory photos of student dormitories, and interview videos of faculty members.

[1242] Step 7:

[1243] The device receives the generated campus tour information and displays it to the user. The server sends the generated campus tour information in JSON format to the device, which parses it and displays it. User A views detailed information (videos, photos, text) about the "Faculty of Science, Daiichi University" on his smartphone.

[1244] (Application example 2)

[1245] 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."

[1246] In recent years, users have been required to select the most suitable physical store based on their emotional state and purchasing intent, and to efficiently obtain detailed store information. However, currently, there is no system in place to address this need, and it takes a great deal of time and effort for users to find the appropriate physical store. Furthermore, since detailed store information is not provided, it is difficult for users to make accurate purchasing decisions. Therefore, there is a need for a system that allows users to easily and quickly find the most suitable physical store and provides detailed store information.

[1247] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1248] In this invention, the server includes terminal means for a user to input personal information and emotional state, server means for receiving the personal information and emotional state from the terminal means, analysis means for the server means to select a physical store that is most suitable for the user based on the personal information and emotional state, recommendation means for the server means to recommend physical stores based on the results of the analysis means, generation means for automatically generating store tour information for the physical stores recommended by the recommendation means, and display means for transmitting the store tour information generated by the generation means to the terminal means and displaying it. This enables the user to efficiently select a physical store that is most suitable for the user's emotional state and purchasing intention, and make an accurate purchasing decision based on detailed store information.

[1249] "Terminal means" refers to a device through which a user inputs personal information and emotional state, and specifically refers to a smartphone, a personal computer, or the like.

[1250] The "server means" is a server device that has the function of analyzing and making recommendations based on the personal information and emotional state received from the terminal means.

[1251] The "analysis means" is a function that executes an algorithm to select the most suitable physical store based on the user's personal information and emotional state.

[1252] The "recommendation means" is a function that recommends physical stores based on the results of the analysis means, and generates a list of stores that are optimal for the user.

[1253] The "generation means" is a function that automatically generates detailed store tour information about the physical store selected by the recommendation means.

[1254] The "display means" is a function that transmits the store tour information generated by the generation means to the terminal means and visually displays it to the user.

[1255] "Personal information" refers to specific information about an individual, such as the user's purchasing preferences or geographical location.

[1256] "Emotional state" is information that indicates the user's current mental and emotional state.

[1257] A "brick and mortar store" is a physical store where goods and services can be purchased in person.

[1258] "Store tour information" refers to detailed information about the main facilities of a physical store, product layout, sales scenes, and staff.

[1259] The present invention relates to a system in which a user inputs personal information and emotional state into a terminal means, and a server means analyzes the information, recommends the most suitable brick-and-mortar store, and provides detailed store tour information.

[1260] System Configuration and Operation

[1261] 1. Terminal means

[1262] A user inputs his / her personal information (purchase intention, geographical location, etc.) and emotional state using a terminal means such as a smartphone or a personal computer. The terminal means transmits this information to the server means.

[1263] 2. Server Means

[1264] The server means is a main component for processing the personal information and emotional states received from the terminal means. The server means is equipped with multiple analysis algorithms and an emotion analysis engine. The server means includes the following analysis means, recommendation means, generation means, and display means.

[1265] 3. Analysis method

[1266] The analysis means provided in the server means selects the most suitable brick-and-mortar store based on the user's personal information and emotional state. For example, it analyzes the user's purchasing intentions and geographical conditions using a clustering method (such as KMeans) to extract the most suitable brick-and-mortar store candidates.

[1267] 4. Recommendation method

[1268] Based on the results obtained by the analysis means, the server means uses the recommendation means to recommend the most suitable physical store to the user. The recommendation means takes into account the user's emotional state in addition to the results of the analysis means and lists stores that are relaxing and that stimulate the desire to buy.

[1269] 5. Generation means

[1270] For the recommended physical store, the server means automatically generates detailed store tour information using the generation means, including key product shelves, cash register locations, sale information, and staff introductions. The generative AI model can be used to generate in-store visual information and interview videos.

[1271] 6. Display means

[1272] The store tour information created by the generating means is sent to the user's terminal means using the display means. By viewing this information via the terminal means, the user can understand the details of the actual store in advance.

[1273] Hardware and software used

[1274] Hardware: Servers (AWS EC2, etc.), smartphones, PCs

[1275] software:

[1276] Server side: Python, Flask, pandas, scikit-learn

[1277] Client side: Smartphone app (React Native or Flutter), web browser

[1278] Specific examples

[1279] For example, consider a user in the emotional state of "I want to relax while shopping" who uses his or her smartphone to search for the best store. The user enters the following information into the system:

[1280] Example prompt sentence:

[1281] "I'm currently feeling stressed. I live in Tokyo. Can you recommend a place where I can relax?"

[1282] As a result, the server uses the analysis means and recommendation means to add relaxing stores (e.g., large supermarkets and cafes) that suit the user's emotional state to a recommendation list and generate detailed store tour information, which is sent to the user's smartphone, allowing the user to make appropriate purchasing decisions.

[1283] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1284] Step 1:

[1285] The user inputs personal information and emotional state using the terminal means.

[1286] Input: User's purchasing intent, geography, and emotional state

[1287] Output: A dataset of input information

[1288] Specific operation: A user starts the application using a smartphone or a PC and inputs personal information such as purchasing intentions and emotional state (e.g., stress level). The input information is saved in the terminal means and transmitted to the server means.

[1289] Step 2:

[1290] The personal information and emotional state are transmitted from the terminal means to the server means.

[1291] Input: Personal information and emotional state from a terminal device

[1292] Output: Received data to the server means

[1293] Specific operation: The terminal means transmits the input information as a packet to the server means, which receives the information and prepares for analysis.

[1294] Step 3:

[1295] The server means uses the analysis means to analyze the personal information and emotional state.

[1296] Input: Personal information and emotional state received by the server means

[1297] Output: The best brick-and-mortar store candidates as a result of the analysis

[1298] Specific operation: The server uses analytical algorithms such as the KMeans clustering method to extract optimal store candidates based on the user's purchasing intentions and geographical conditions. The analytical means clusters the data and generates a list of physical stores suitable for the user.

[1299] Step 4:

[1300] The server means uses an emotion engine to analyze the user's emotional state and adjust the recommendation list.

[1301] Input: Analysis results and user's emotional state

[1302] Output: A tailored list of optimal brick-and-mortar stores

[1303] Specific operation: The server means uses the emotion engine to analyze the received emotional state (e.g., stress state) and prioritizes a list of stores that provide a relaxing environment. The recommendation list is effectively adjusted based on this.

[1304] Step 5:

[1305] The server means automatically generates detailed store tour information using the generating means.

[1306] Input: Tailored optimal brick-and-mortar store list

[1307] Output: Automatically generated store tour information

[1308] Specific operations: The server means uses the generative AI model to generate detailed store tour information, such as visual information and interview videos, for the listed physical stores. The generated information is of high quality and is configured to allow users to gain a detailed understanding of the stores.

[1309] Step 6:

[1310] The server means transmits the generated store tour information to the terminal means.

[1311] Input: Auto-generated store tour information

[1312] Output: Data sent to a terminal device

[1313] Specific operation: The server means transmits the generated store tour information to the terminal means as a data packet. After transmission, the information becomes viewable on the user's terminal.

[1314] Step 7:

[1315] The user uses the terminal means to view the store tour information and make the best purchasing decision.

[1316] Input: Store tour information displayed on the terminal

[1317] Output: User's store selection and purchasing behavior

[1318] Specific operations: The user browses the detailed store tour information displayed on the terminal and checks the main facilities and product layout in the store, which allows the user to make an appropriate purchasing decision and decide on the next course of action.

[1319] 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.

[1320] 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.

[1321] 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.

[1322] [Fourth embodiment]

[1323] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1324] 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.

[1325] 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).

[1326] 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.

[1327] 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.

[1328] 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).

[1329] 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.

[1330] 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.

[1331] 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.

[1332] 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.

[1333] 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.

[1334] 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.

[1335] 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."

[1336] This invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is mainly composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, and a display means.

[1337] System Configuration and Operation

[1338] 1. Terminal means

[1339] User: A device used by high school students and their parents, such as a smartphone or PC. Users use the device to input their personal information (such as academic ability, geographical location, and career aspirations).

[1340] 2. Server Means

[1341] Server: Receives personal information sent from the terminal means and stores it in a data structure. Based on this information, the server uses analytical means to select the educational institution and department that best suits the user.

[1342] 3. Analysis method

[1343] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's academic ability, geographical location, and career aspirations. For example, if the user's deviation score is 75, a top-level university will be selected.

[1344] 4. Recommendation method

[1345] Server: Based on the results of the analysis, the server generates a list of multiple optimal educational institutions and departments and recommends them to the user. This recommended list perfectly matches the user's preferences and requirements.

[1346] 5. Generation means

[1347] Server: Automatically generates detailed campus tour information for the recommended educational institutions, including details about the institution's key facilities, student life, classrooms, and faculty.

[1348] 6. Display means

[1349] Terminal: The generated campus tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended educational institution and specifically determine which facilities to visit.

[1350] Specific examples

[1351] For example, Mr. A, a third-year high school student living in Tokyo, aspires to study at a science university and has a deviation score of 75. Mr. A first uses his smartphone to enter his personal information into the system. The input information includes his academic ability (deviation score of 75), region (Tokyo), and career aspirations (research career aspirations).

[1352] 1. Enter information

[1353] User A uses the terminal means to enter his / her information and clicks the send button.

[1354] 2. Receiving information

[1355] Server: Receives the information entered by Mr. A and prepares for analysis using the analysis means.

[1356] 3. Analysis

[1357] Server: Using analytical tools, select top-level science universities based on the following criteria: deviation score of 75, residence in Tokyo, and desire for a research position. For example, select "First University, Faculty of Science" or "Second University, Faculty of Engineering."

[1358] 4. Generating a recommendation list

[1359] Server: Based on the analysis results, recommend the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" as the most suitable universities for Mr. A.

[1360] 5. Generation of campus tour information

[1361] Server: Automatically generate the following campus tour information for the recommended "Faculty of Science, Daiichi University."

[1362] Hongo Campus introduction video

[1363] Detailed descriptions of major research facilities and libraries

[1364] Student dormitory introduction photo

[1365] Interview videos of professors from the Faculty of Science

[1366] 6. Information display

[1367] Device: The generated campus tour information is sent to A's smartphone, where A can view it. This allows A to get detailed information about the Faculty of Science at Daiichi University and know in advance which facilities to visit.

[1368] This system allows high school students and their parents to efficiently select the most suitable educational institution from a vast amount of information and simultaneously obtain detailed campus tour information.

[1369] The processing flow will be explained below.

[1370] Step 1:

[1371] User: Enter personal information (academic ability, region, career aspirations, etc.) into a device (smartphone or PC).

[1372] Step 2:

[1373] Terminal: Generates and sends a request to send the entered personal information to the server.

[1374] Step 3:

[1375] Server: Receives personal information sent from the device and stores it in a database.

[1376] Step 4:

[1377] Server: The received personal information is input into an analysis tool, and the most suitable educational institution and faculty are selected based on academic ability, region, and career aspirations.

[1378] Step 5:

[1379] Server: As a result of the analysis, a list of universities and departments that best suit the user is generated. This list includes multiple educational institutions that best suit the user's criteria.

[1380] Step 6:

[1381] Server: Based on the generated list of universities and faculties, the server calls a generating means for generating detailed campus tour information for each educational institution.

[1382] Step 7:

[1383] Server: The generation means automatically generates information about the institution's main facilities, student life, classroom scenes, and faculty. If necessary, images and videos are also generated.

[1384] Step 8:

[1385] Server: Generates and transmits a response for sending the generated campus tour information to the user's terminal.

[1386] Step 9:

[1387] Terminal: The received campus tour information is displayed on the user's screen, allowing the user to view detailed information about the recommended educational institution.

[1388] Step 10:

[1389] User: Based on the displayed campus tour information, select the university and facilities to visit.

[1390] Example 1

[1391] 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."

[1392] Conventional educational institution selection systems make it difficult for high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. In particular, there was no system that could analyze and recommend based on personal information, and then generate and display campus tour information in a single flow. Furthermore, the processes of inputting and receiving information, analyzing, recommending, generating, and displaying information lacked consistency and efficiency.

[1393] 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.

[1394] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means, analysis means for the server means to select an educational institution and department that is most suitable for the user based on the personal information, recommendation means for the server means to recommend an educational institution and department based on the results of the analysis means, generation means for automatically generating campus tour information for the educational institution recommended by the recommendation means, and display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying it. This allows multiple steps to be performed consistently, enabling the user to efficiently and quickly select an educational institution that is most suitable for the user and obtain detailed campus tour information.

[1395] "Users" refers to people such as high school students and their parents who use this system to enter their personal information and receive recommendations from educational institutions.

[1396] "Terminal means" refers to a hardware device used by a user to input personal information, such as a smartphone or a personal computer.

[1397] "Server means" refers to a central computer system that receives personal information sent from terminal means and performs analysis and recommendations based on that information.

[1398] "Analysis means" refers to the algorithms and processing functions within the server means that organize and analyze personal information entered by the user (such as academic ability, geographical conditions, career aspirations, etc.) and select the most suitable educational institution and faculty.

[1399] "Recommendation means" refers to a function that creates and recommends a list of educational institutions and faculties suitable for the user based on the results obtained by the analysis means.

[1400] "Generation means" refers to a function that automatically generates detailed campus tour information about educational institutions selected by the recommendation means.

[1401] The "display means" refers to a function for transmitting the generated campus tour information to the user's terminal means and visually displaying it to the user.

[1402] "Campus tour information" refers to detailed information about the educational institution's main facilities, student life, classroom scenes, faculty, etc., providing users with information that allows them to understand the specific situation of the educational institution in advance.

[1403] "Database" refers to a digital data storage system used by the server to organize and store data such as users' personal information and analysis results.

[1404] "API" refers to the application programming interface used by the generating means to automatically generate campus tour information, and refers to the means that enables interaction between different software components.

[1405] The present invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is mainly composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, and a display means. Specific embodiments of the system are described below.

[1406] Hardware and Software Configuration

[1407] 1. Terminal means

[1408] Users: High school students and their parents access the system using devices such as smartphones and computers. The devices operate via a web browser or a dedicated app.

[1409] 2. Server Means

[1410] Server: The server operates based on a client-server model and receives personal information sent by users. The server is equipped with advanced analytical algorithms and a database system to process large amounts of data and select the most suitable educational institution.

[1411] 3. Analysis method

[1412] Server: The server's analytical means performs analysis based on input data such as the user's academic ability, geographical location, career aspirations, etc. For example, data analysis languages ​​such as Python and R can be used.

[1413] 4. Recommendation method

[1414] Server: Based on the analysis results, the server generates a list of educational institutions and departments that are most suitable for the user. The list generation algorithm may use machine learning models or statistical models.

[1415] 5. Generation means

[1416] Server: The server generates detailed campus tour information for the recommended universities. This information is retrieved via API, and may include, for example, a video introducing the university, photos of the facilities, and interviews with faculty.

[1417] 6. Display means

[1418] Device: The generated campus tour information is sent to the user's device and displayed in a browser or app. It is provided as an HTML web page or interactive content.

[1419] Specific example explanation

[1420] In the case of high school student A living in Tokyo

[1421] User: Mr. A, a third-year high school student living in Tokyo, is aiming to enter a science university and has a deviation score of 75. Mr. A accesses the system using his smartphone and enters the following information:

[1422] Standard deviation: 75

[1423] Residence area: Tokyo

[1424] Career aspirations: Research position

[1425] Prompt Sentence Examples

[1426] A, a third-year high school student living in Tokyo, aspires to study at a science university and has a deviation score of 75. Please explain in detail the processing steps of a system that recommends the best university for A and provides detailed campus tour information. For example, please provide a detailed description of how user information is entered, how it is analyzed, and what information is generated. Please also include an explanation of the specific operations.

[1427] System Operation

[1428] 1. Enter information

[1429] User A uses the device to enter his / her information and clicks the "Send" button.

[1430] 2. Receiving information

[1431] Server: Receives Mr. A's input information, stores it in a database, and prepares it for analysis.

[1432] 3. Analysis

[1433] Server: Using analytical tools, analyze A's academic ability, geographical location, and career aspirations, and select the most suitable university. For example, select "University No. 1, Faculty of Science" or "University No. 2, Faculty of Engineering."

[1434] 4. Generating a recommendation list

[1435] Server: Based on the analysis results, generate and recommend a list of universities and departments that are most suitable for Mr. A.

[1436] 5. Generation of campus tour information

[1437] Server: Generates detailed campus tour information for the recommended universities, including an introductory video of the Hongo campus, descriptions of major research facilities, photos of student dormitories, and video interviews with faculty.

[1438] 6. Information display

[1439] Terminal: The generated campus tour information is sent to Mr. A's terminal, and he can view it to understand specific information.

[1440] This system allows high school students and their parents to efficiently select the most suitable educational institution and simultaneously obtain detailed campus tour information.

[1441] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1442] Step 1:

[1443] Users enter their personal information using a device such as a smartphone or PC. They access the system's input form and enter data such as their academic ability score, residential area, and career aspirations. After entering the information, they click the send button to send it to the server.

[1444] Input: deviation score, residential area, career aspirations

[1445] Output: User information sent to the server (JSON format)

[1446] Specific behavior:

[1447] A user opens a web browser, visits the appropriate form, enters information, and clicks a submit button, which sends the information in JSON format to the server.

[1448] Step 2:

[1449] The server receives the information sent by the user and stores it in a database, and the received data is passed to an analysis means.

[1450] Input: User information (JSON format)

[1451] Output: User information stored in the database

[1452] Specific behavior:

[1453] The server parses the data it receives and inserts it into the appropriate tables in the database, then organizes the necessary data into a data structure for analysis.

[1454] Step 3:

[1455] The server's analytical means analyzes the academic ability, geographical location, and career aspirations of the user based on the user information stored in the database, and based on the analysis results, lists the most suitable educational institutions and departments.

[1456] Input: User information in the database

[1457] Output: Analysis results (list of best-fit institutions and departments)

[1458] Specific behavior:

[1459] An analytical algorithm is activated, which comprehensively analyzes the user's academic ability (standard deviation score), geographical conditions (area of ​​residence), and career aspirations to select the appropriate educational institution and department.

[1460] Step 4:

[1461] The server's recommendation mechanism generates a list of suitable educational institutions and departments for the user based on the analysis results, which best meet the user's requirements.

[1462] Input: Analysis results

[1463] Output: Recommendation list (recommended institutions and departments)

[1464] Specific behavior:

[1465] A list generation algorithm is run to generate a list of educational institutions and departments that are suitable for the user, for example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering."

[1466] Step 5:

[1467] A server-based generation process automatically generates detailed campus tour information for the recommended educational institution, including a school introduction video, details of key facilities, student housing, and faculty interview videos.

[1468] Input: Recommendation list

[1469] Output: Campus tour information

[1470] Specific behavior:

[1471] The server uses an API to automatically generate various information (videos, photos, text) about the recommended educational institutions and organizes it as campus tour information.

[1472] Step 6:

[1473] The server sends the generated campus tour information to the user's device, which receives it and displays it in a browser or app.

[1474] Input: Campus Tour Information

[1475] Output: Campus tour information displayed on the terminal

[1476] Specific behavior:

[1477] Campus tour information is generated in HTML format and sent to the user's device, where the user can view interactive content through their browser.

[1478] This series of steps allows high school students and their parents to efficiently select the most suitable educational institution and quickly obtain detailed campus tour information.

[1479] (Application example 1)

[1480] 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."

[1481] In today's brick-and-mortar stores, consumers spend time and effort selecting the best store and product from the many options available. Furthermore, detailed information about stores and products cannot be obtained in advance when visiting for the first time, which can make the shopping experience less enjoyable. This often leaves consumers feeling lost and inconvenienced when selecting a store or product. Furthermore, stores are often not providing enough information to customers, and are being called upon to strengthen their sales promotion activities.

[1482] 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.

[1483] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means, analysis means for the server means to select the most suitable facilities and products for the user based on the personal information, recommendation means for the server means to recommend facilities and products based on the results of the analysis means, generation means for automatically generating tour information about the facilities recommended by the recommendation means, and display means for transmitting the tour information generated by the generation means to the terminal means and displaying it. This enables consumers to efficiently select the most suitable stores and products and obtain detailed tour information in advance.

[1484] "Terminal means" refers to the devices or systems through which users input personal information. Examples of such devices include smartphones and personal computers.

[1485] The term "server means" refers to a central device or computer system that manages personal information received from the terminal means and processes it in cooperation with other system components.

[1486] "Analysis means" refers to the algorithms and software that the server means uses to select the most suitable facilities and products for the user based on personal information.

[1487] "Recommendation means" refers to a system or program for making recommendations to users based on facilities and products selected by the analysis means.

[1488] "Generation means" refers to a function or software that automatically generates tour information about facilities recommended by the recommendation means.

[1489] The "display means" refers to a display or interface that transmits the generated tour information to the terminal means and visually displays it to the user.

[1490] "Establishment" refers to a place or building where consumers visit and shop, such as a retail store, shopping center, or supermarket.

[1491] "Goods" refers to goods and services provided within the facility.

[1492] "Tour Information" refers to detailed interpretive materials and guides that include information about the main areas of the facility, the visitor experience, an overview of exhibits, and guides.

[1493] "User" refers to a consumer or user who inputs personal information and receives recommendations of the most suitable facilities and products.

[1494] The present invention relates to a system that enables users to efficiently select optimal facilities and products and obtain detailed tour information. This system is mainly composed of terminal means, server means, analysis means, recommendation means, generation means, and display means.

[1495] System Configuration and Operation

[1496] 1. Terminal means

[1497] User: A terminal used by a shopper, such as a smartphone or a PC. The user uses the terminal to input their personal information (preferences, budget, geographical location, etc.).

[1498] 2. Server Means

[1499] Server: Receives personal information sent from the terminal means and stores it in a database. Based on this information, the server uses analysis means to select the most suitable facilities and products for the user.

[1500] 3. Analysis method

[1501] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's preferences, budget, and geographical conditions. For example, if the user's budget is 5,000 yen, it will select stores and products that fit within that budget.

[1502] 4. Recommendation method

[1503] Server: Based on the results of the analysis, the server generates a list of multiple optimal facilities and products and recommends them to the user. This recommended list perfectly matches the user's wishes and conditions.

[1504] 5. Generation means

[1505] Server: Automatically generates detailed tour information about the recommended facility, including key areas of the facility, the visitor experience, an overview of exhibits, and details about the guide.

[1506] 6. Display means

[1507] Terminal: The generated tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended facilities and understand specifically which facilities to visit.

[1508] Hardware and software used

[1509] Hardware: Smartphones, PCs, server computers

[1510] Software: Python-based analytical algorithms, database management systems (e.g., MySQL), generative AI models (e.g., GPT-3.5)

[1511] Specific examples

[1512] For example, shopper B, who lives in Tokyo, is looking for casual fashion items and has a budget of 5,000 yen. First, shopper B uses his smartphone to enter his personal information into the system. The input information includes his preferences (casual fashion), budget (5,000 yen), and geographical location (Tokyo).

[1513] 1. Enter information

[1514] User B uses the terminal means to enter his / her information and clicks the send button.

[1515] 2. Receiving information

[1516] Server: Receives Mr. B's input information and prepares for analysis using the analysis means.

[1517] 3. Analysis

[1518] Server: Using analytical methods, select the best store candidates based on the conditions of casual fashion, a budget of 5,000 yen, and Tokyo. For example, select "Fashion Store A" or "Fashion Store B."

[1519] 4. Generating a recommendation list

[1520] Server: Based on the analysis results, recommend "Fashion Store A" and "Fashion Store B" as the best stores for Mr. B.

[1521] 5. Tour Information Generation

[1522] Server: Automatically generate the following tour information for the recommended "Fashion Store A."

[1523] Video introducing the main areas

[1524] In-store special offers and visitor experience details

[1525] Overview photo of recommended products

[1526] Interview video of the in-store guide

[1527] 6. Information display

[1528] Device: The generated tour information is sent to B's smartphone, where B can view it. This allows B to get detailed information about "Fashion Store A" and know in advance which facilities to visit.

[1529] Example prompts for generative AI models

[1530] User preference: Casual fashion

[1531] Budget: 5,000 yen

[1532] Current location: Shinjuku

[1533] Based on this information, please recommend stores in Shinjuku that sell casual fashion and generate tour information for those stores.

[1534] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1535] Step 1:

[1536] The user inputs their personal information using a terminal such as a smartphone. This information includes preferences, budget, and geographical location. The input information is sent to the server by pressing the send button.

[1537] Inputs: User preferences, budget, geography

[1538] Output: Personal information is sent to the server

[1539] Step 2:

[1540] The server stores the personal information received from the terminal means, and prepares to store the personal information in a database.

[1541] Input: Personal information sent from the terminal means

[1542] Output: This information is stored in a database

[1543] Step 3:

[1544] The server uses analytical tools to analyze the personal information in the database and selects the most suitable facilities and products based on the user's preferences, budget, and geographical location.

[1545] Input: Personal information stored on the server

[1546] Output: A list of suitable facilities and products

[1547] Step 4:

[1548] The server uses the recommendation means to make recommendations to the user based on the list of optimal facilities and products obtained from the analysis. The recommendation list perfectly matches the user's wishes and conditions.

[1549] Input: List of best facilities and products

[1550] Output: Recommendation list

[1551] Step 5:

[1552] The server uses the generating means to automatically generate detailed tour information about the recommended facility, including details about the facility's main areas, visitor experience, exhibit overview, and guide.

[1553] Input: Recommendation list

[1554] Output: Detailed tour information

[1555] Step 6:

[1556] The server transmits the generated tour information to the user's terminal, which visually displays the information, allowing the user to view the displayed information and deepen their understanding of the most suitable facilities.

[1557] Input: Detailed tour information

[1558] Output: Tour information displayed on a terminal device

[1559] 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.

[1560] The present invention relates to a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, a display means, and an emotion engine.

[1561] System Configuration and Operation

[1562] 1. Terminal means

[1563] User: A device used by high school students and their parents, such as a smartphone or PC. Users use the device to input their personal information (academic ability, geographical location, career aspirations, emotional state).

[1564] 2. Server Means

[1565] Server: Receives personal information sent from the terminal means and stores it in a database. Based on this information, the server uses analysis means to select the educational institution and department that is most suitable for the user.

[1566] 3. Analysis method

[1567] Server: Based on the analysis algorithm, the server comprehensively analyzes the user's academic ability, geographical location, and career aspirations. For example, if the user's deviation score is 75, a top-level university will be selected.

[1568] 4. Emotion Engine

[1569] Server: Analyzes the user's emotional state based on user input and feedback from the device. If the user is feeling stressed, the emotion engine will make adjustments, such as suggesting universities that offer a more relaxing environment.

[1570] 5. Recommendation method

[1571] Server: Based on the results of the analysis and emotion engine, the server generates and recommends to the user a list of multiple optimal educational institutions and departments that perfectly match the user's academic ability, geographical conditions, career aspirations, and emotional state.

[1572] 6. Generation means

[1573] Server: Automatically generates detailed campus tour information for recommended institutions, including details about the institution's key facilities, student life, classrooms, and faculty.

[1574] 7. Display means

[1575] Terminal: The generated campus tour information is sent to the user's terminal and displayed to the user, allowing the user to obtain detailed information about the recommended educational institution and specifically determine which facilities to visit.

[1576] Specific examples

[1577] For example, Mr. A, a third-year high school student living in Tokyo, aspires to enter a science-related university and has a deviation score of 75. Mr. A first uses his smartphone to enter his personal information into the system. The input information includes his academic ability (deviation score of 75), region (Tokyo), career aspirations (aspires to work in research), and emotional state (feels stressed before the semester exams).

[1578] 1. Enter information

[1579] User A uses the terminal means to enter his / her information and clicks the send button.

[1580] 2. Receiving information

[1581] Server: Receives the input information from Person A and prepares for analysis using the analysis means and emotion engine.

[1582] 3. Analysis

[1583] Server: Using analytical tools, select top-level science universities based on the following criteria: deviation score of 75, residence in Tokyo, and desire for a research position. For example, select "First University, Faculty of Science" or "Second University, Faculty of Engineering."

[1584] 4. Emotion analysis

[1585] Server: Using an emotion engine, analyze Mr. A's stress level and prioritize universities that offer a relaxing environment.

[1586] 5. Generating a recommendation list

[1587] Server: Based on the results of the analysis and sentiment analysis, recommend the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" as the most suitable universities for Mr. A.

[1588] 6. Generation of campus tour information

[1589] Server: Automatically generate the following campus tour information for the "Faculty of Science, Daiichi University."

[1590] Hongo Campus introduction video

[1591] Detailed descriptions of major research facilities and libraries

[1592] Student dormitory introduction photo

[1593] Interview videos of professors from the Faculty of Science

[1594] 7. Information display

[1595] Device: The generated campus tour information is sent to A's smartphone, where A can view it. This allows A to get detailed information about the Faculty of Science at Daiichi University and know in advance which facilities to visit.

[1596] This system allows high school students and their parents to efficiently select the most suitable educational institution from a vast amount of information and simultaneously obtain detailed campus tour information.In addition, by using an emotion engine, it is possible to make appropriate suggestions that take into account the user's psychological state.

[1597] The processing flow will be explained below.

[1598] Step 1:

[1599] User: Enters personal information (academic ability, region, career aspirations, and emotional state) into a device (smartphone or PC).

[1600] Step 2:

[1601] Terminal: Generates and sends a request to send the entered personal information to the server.

[1602] Step 3:

[1603] Server: Receives personal information sent from the device and stores it in a database.

[1604] Step 4:

[1605] Server: The received personal information is input into an analysis tool, and the most suitable educational institution and faculty are selected based on the user's academic ability, region, and career aspirations.

[1606] Step 5:

[1607] Server: As a result of the analysis, a list of universities and departments that best suit the user is generated. This list includes multiple educational institutions that best suit the user's criteria.

[1608] Step 6:

[1609] Server: Using the emotion engine, analyzes the user's emotional state based on input information and feedback from the device. If the user is feeling stressed, the emotion engine will make adjustments such as suggesting universities that offer a more relaxing environment.

[1610] Step 7:

[1611] Server: Integrates the results of the analysis tools and sentiment engine to generate a final list of recommended educational institutions and departments that are most suitable for the user.

[1612] Step 8:

[1613] Server: The generating means automatically generates detailed campus tour information about the recommended educational institution, including information about the institution's main facilities, student life, classroom scenes, and faculty.

[1614] Step 9:

[1615] Server: Generates and transmits a response for sending the generated campus tour information to the user's terminal.

[1616] Step 10:

[1617] Terminal: The received campus tour information is displayed on the user's screen, allowing the user to view detailed information about the recommended educational institution.

[1618] Step 11:

[1619] User: Based on the displayed campus tour information, select the university and facilities to visit.

[1620] Step 12:

[1621] Terminal: The user can enter additional questions or feedback as requested, and this information is also sent to the server and used for reanalysis.

[1622] The system allows users to make more detailed and personalized university selection decisions, receiving optimal suggestions that take their emotional state into account.

[1623] Example 2

[1624] 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."

[1625] In the past, collecting information to select the most suitable educational institution for high school students and their parents required a lot of time and effort. Furthermore, there was a lack of a way to make optimal recommendations that took into account the user's emotional state, rather than just academic ability and geographical location. Therefore, there was a need for a system that could reduce the psychological burden and enable more efficient selection of the most appropriate educational institution.

[1626] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1627] In this invention, the server includes terminal means for a user to input personal information, server means for receiving the personal information from the terminal means and storing it in a database, analysis means for the server means to select the most suitable educational institution and department for the user based on the personal information, an emotion engine for the server means to analyze the user's emotional state and make adjustments taking the results into consideration, recommendation means for the server means to recommend educational institutions and departments based on the results of the analysis means and the emotion engine, generation means for automatically generating campus tour information for the educational institutions recommended by the recommendation means, and display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying it. This makes it possible to select the most suitable educational institution and provide detailed information taking into consideration the individual characteristics and emotional state of the user.

[1628] "Terminal means" refers to a device such as a smartphone or a personal computer through which a user inputs personal information.

[1629] The "server means" is a server that receives personal information sent from the terminal means and stores it in a database.

[1630] "Analysis means" refers to algorithms or programs that select the most suitable educational institution and faculty for a user based on personal information.

[1631] An "emotion engine" is a system or program that analyzes a user's emotional state and makes adjustments based on the results.

[1632] The "recommendation means" is an algorithm or program for recommending educational institutions and departments to the user based on the results of the analysis means and the emotion engine.

[1633] The "generation means" is a system or program for automatically generating campus tour information about the educational institution recommended by the recommendation means.

[1634] The "display means" refers to a display device or application that transmits the campus tour information generated by the generation means to the terminal means and displays it to the user.

[1635] This invention is a system that enables high school students and their parents to efficiently select the most suitable educational institution and obtain detailed campus tour information. This system is composed of a user terminal, a server, an analysis means, a recommendation means, a generation means, a display means, and an emotion engine. The specific configuration and operation are described below.

[1636] Terminal means

[1637] User: A user uses a terminal such as a smartphone or PC to access a dedicated application or website. Through the terminal, the user inputs personal information such as academic ability, geographical location, career aspirations, and emotional state. For example, a third-year high school student named A might input information such as "standard deviation score 75," "Tokyo," "aspires to work in research," and "high stress."

[1638] Server Means

[1639] Server: The server receives personal information sent from the terminal means via the Internet and stores it in a secure database. For example, the information entered by Mr. A ("Standard deviation score 75," "Living in Tokyo," "Want a research position," "High stress") is stored in the database.

[1640] Analysis means

[1641] Server: The server extracts personal information from the database and uses analytical tools (e.g., machine learning models written in Python) to generate a list of suitable educational institutions based on the user's academic ability, geographic location, and career aspirations. For example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are selected as candidates.

[1642] Emotion Engine

[1643] Server: The server uses an emotion engine (e.g., an NLP model) to analyze the emotional state input by the user. If the user is feeling stressed, the emotion engine will preferentially suggest universities that offer a relaxing environment. For example, if Person A is in a stressful state, a university with a relaxing environment will be selected.

[1644] Recommendation method

[1645] Server: The server integrates the results of the analysis method and the emotion engine to generate a list of recommended educational institutions and departments. As a result, the server recommends the "First University, Faculty of Science" and the "Second University, Faculty of Engineering" to Mr. A.

[1646] generation means

[1647] Server: The server uses a generation method (e.g., a content generation AI model) to automatically generate detailed campus tour information for the recommended educational institution. This information includes details about the institution's main facilities, student life, classroom scenes, and faculty. For example, it generates background knowledge and specific content for "Daiichi University, Faculty of Science."

[1648] Display means

[1649] Device: The user's device receives the campus tour information sent from the server and displays it. This allows the user to obtain detailed information about the recommended educational institution. For example, Person A views an introductory video and detailed facility information for the Faculty of Science at Daiichi University on his smartphone.

[1650] Examples of specific examples and prompts

[1651] For example, when a high school student named A living in Tokyo uses the system, the following steps are performed:

[1652] 1. Enter information

[1653] The user uses their smartphone to enter information such as "standard deviation score 75," "Tokyo," "want to work in research," and "high stress," and clicks the send button.

[1654] 2. Information Receipt and Storage

[1655] The server receives Mr. A's input information and stores it in a database.

[1656] 3. Analytics and Sentiment Analysis

[1657] The server analyzes the user information using an analytical means and selects "the first university's science department" or "the second university's engineering department." The emotion engine analyzes the user's emotional state and, if the user is under a lot of stress, prioritizes selecting a university where they can relax.

[1658] 4. Generating recommendation lists and campus tour information

[1659] The server uses the generating means to automatically generate campus tour information for the "First University, Faculty of Science."

[1660] 5. Information display

[1661] The user views the generated campus tour information on their smartphone.

[1662] This system allows users to efficiently select the most suitable educational institution from a vast amount of information and obtain detailed campus tour information. It also reduces the user's psychological burden by taking into account their emotional state.

[1663] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1664] Step 1:

[1665] The user enters personal information. Using a smartphone or computer, the user accesses a dedicated application or website and enters information such as academic ability, geographical location, career aspirations, and emotional state. For example, high school senior A enters "standard deviation score 75," "Tokyo," "aspires to work in research," and "high stress," and clicks the submit button. This input data is sent in JSON format.

[1666] Step 2:

[1667] The server receives the personal information and stores it in a database. The server receives the personal information sent from the device and stores it in a secure database. Specifically, it parses the JSON data sent by the user and stores it in a relational database such as MySQL. If this storage is successful, a flag is set to proceed to the next step.

[1668] Step 3:

[1669] The server retrieves user information from the database and analyzes it using analytical tools. The server then inputs the retrieved user information into a machine learning model written in Python, which generates a ranking of the most suitable educational institutions based on the user's academic ability, geographic location, and career aspirations. For example, based on Mr. A's information, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are selected with high rankings.

[1670] Step 4:

[1671] The server analyzes the user's emotional state using an emotion engine. The server inputs the user's emotional state information (e.g., stressful) into a natural language processing model (e.g., BERT) to analyze the user's emotional state. Based on the analysis results, educational institutions that offer relaxation are prioritized.

[1672] Step 5:

[1673] The server integrates the results of the analysis method and the emotion engine to generate a recommendation list. The server uses the integrated analysis results as browsing priorities to generate a list of optimal educational institutions and departments. For example, "University No. 1, Faculty of Science" and "University No. 2, Faculty of Engineering" are recommended to Person A.

[1674] Step 6:

[1675] The server generates campus tour information using a generation method. The server uses a generative AI model (e.g., GPT-4) to automatically generate detailed campus tour information for the recommended educational institution. This information includes a campus introduction video, details of major research facilities and libraries, introductory photos of student dormitories, and interview videos of faculty members.

[1676] Step 7:

[1677] The device receives the generated campus tour information and displays it to the user. The server sends the generated campus tour information in JSON format to the device, which parses it and displays it. User A views detailed information (videos, photos, text) about the "Faculty of Science, Daiichi University" on his smartphone.

[1678] (Application example 2)

[1679] 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."

[1680] In recent years, users have been required to select the most suitable physical store based on their emotional state and purchasing intent, and to efficiently obtain detailed store information. However, currently, there is no system in place to address this need, and it takes a great deal of time and effort for users to find the appropriate physical store. Furthermore, since detailed store information is not provided, it is difficult for users to make accurate purchasing decisions. Therefore, there is a need for a system that allows users to easily and quickly find the most suitable physical store and provides detailed store information.

[1681] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1682] In this invention, the server includes terminal means for a user to input personal information and emotional state, server means for receiving the personal information and emotional state from the terminal means, analysis means for the server means to select a physical store that is most suitable for the user based on the personal information and emotional state, recommendation means for the server means to recommend physical stores based on the results of the analysis means, generation means for automatically generating store tour information for the physical stores recommended by the recommendation means, and display means for transmitting the store tour information generated by the generation means to the terminal means and displaying it. This enables the user to efficiently select a physical store that is most suitable for the user's emotional state and purchasing intention, and make an accurate purchasing decision based on detailed store information.

[1683] "Terminal means" refers to a device through which a user inputs personal information and emotional state, and specifically refers to a smartphone, a personal computer, or the like.

[1684] The "server means" is a server device that has the function of analyzing and making recommendations based on the personal information and emotional state received from the terminal means.

[1685] The "analysis means" is a function that executes an algorithm to select the most suitable physical store based on the user's personal information and emotional state.

[1686] The "recommendation means" is a function that recommends physical stores based on the results of the analysis means, and generates a list of stores that are optimal for the user.

[1687] The "generation means" is a function that automatically generates detailed store tour information about the physical store selected by the recommendation means.

[1688] The "display means" is a function that transmits the store tour information generated by the generation means to the terminal means and visually displays it to the user.

[1689] "Personal information" refers to specific information about an individual, such as the user's purchasing preferences or geographical location.

[1690] "Emotional state" is information that indicates the user's current mental and emotional state.

[1691] A "brick and mortar store" is a physical store where goods and services can be purchased in person.

[1692] "Store tour information" refers to detailed information about the main facilities of a physical store, product layout, sales scenes, and staff.

[1693] The present invention relates to a system in which a user inputs personal information and emotional state into a terminal means, and a server means analyzes the information, recommends the most suitable brick-and-mortar store, and provides detailed store tour information.

[1694] System Configuration and Operation

[1695] 1. Terminal means

[1696] A user inputs his / her personal information (purchase intention, geographical location, etc.) and emotional state using a terminal means such as a smartphone or a personal computer. The terminal means transmits this information to the server means.

[1697] 2. Server Means

[1698] The server means is a main component for processing the personal information and emotional states received from the terminal means. The server means is equipped with multiple analysis algorithms and an emotion analysis engine. The server means includes the following analysis means, recommendation means, generation means, and display means.

[1699] 3. Analysis method

[1700] The analysis means provided in the server means selects the most suitable brick-and-mortar store based on the user's personal information and emotional state. For example, it analyzes the user's purchasing intentions and geographical conditions using a clustering method (such as KMeans) to extract the most suitable brick-and-mortar store candidates.

[1701] 4. Recommendation method

[1702] Based on the results obtained by the analysis means, the server means uses the recommendation means to recommend the most suitable physical store to the user. The recommendation means takes into account the user's emotional state in addition to the results of the analysis means and lists stores that are relaxing and that stimulate the desire to buy.

[1703] 5. Generation means

[1704] For the recommended physical store, the server means automatically generates detailed store tour information using the generation means, including key product shelves, cash register locations, sale information, and staff introductions. The generative AI model can be used to generate in-store visual information and interview videos.

[1705] 6. Display means

[1706] The store tour information created by the generating means is sent to the user's terminal means using the display means. By viewing this information via the terminal means, the user can understand the details of the actual store in advance.

[1707] Hardware and software used

[1708] Hardware: Servers (AWS EC2, etc.), smartphones, PCs

[1709] software:

[1710] Server side: Python, Flask, pandas, scikit-learn

[1711] Client side: Smartphone app (React Native or Flutter), web browser

[1712] Specific examples

[1713] For example, consider a user in the emotional state of "I want to relax while shopping" who uses his or her smartphone to search for the best store. The user enters the following information into the system:

[1714] Example prompt sentence:

[1715] "I'm currently feeling stressed. I live in Tokyo. Can you recommend a place where I can relax?"

[1716] As a result, the server uses the analysis means and recommendation means to add relaxing stores (e.g., large supermarkets and cafes) that suit the user's emotional state to a recommendation list and generate detailed store tour information, which is sent to the user's smartphone, allowing the user to make appropriate purchasing decisions.

[1717] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1718] Step 1:

[1719] The user inputs personal information and emotional state using the terminal means.

[1720] Input: User's purchasing intent, geography, and emotional state

[1721] Output: A dataset of input information

[1722] Specific operation: A user starts the application using a smartphone or a PC and inputs personal information such as purchasing intentions and emotional state (e.g., stress level). The input information is saved in the terminal means and transmitted to the server means.

[1723] Step 2:

[1724] The personal information and emotional state are transmitted from the terminal means to the server means.

[1725] Input: Personal information and emotional state from a terminal device

[1726] Output: Received data to the server means

[1727] Specific operation: The terminal means transmits the input information as a packet to the server means, which receives the information and prepares for analysis.

[1728] Step 3:

[1729] The server means uses the analysis means to analyze the personal information and emotional state.

[1730] Input: Personal information and emotional state received by the server means

[1731] Output: The best brick-and-mortar store candidates as a result of the analysis

[1732] Specific operation: The server uses analytical algorithms such as the KMeans clustering method to extract optimal store candidates based on the user's purchasing intentions and geographical conditions. The analytical means clusters the data and generates a list of physical stores suitable for the user.

[1733] Step 4:

[1734] The server means uses an emotion engine to analyze the user's emotional state and adjust the recommendation list.

[1735] Input: Analysis results and user's emotional state

[1736] Output: A tailored list of optimal brick-and-mortar stores

[1737] Specific operation: The server means uses the emotion engine to analyze the received emotional state (e.g., stress state) and prioritizes a list of stores that provide a relaxing environment. The recommendation list is effectively adjusted based on this.

[1738] Step 5:

[1739] The server means automatically generates detailed store tour information using the generating means.

[1740] Input: Tailored optimal brick-and-mortar store list

[1741] Output: Automatically generated store tour information

[1742] Specific operations: The server means uses the generative AI model to generate detailed store tour information, such as visual information and interview videos, for the listed physical stores. The generated information is of high quality and is configured to allow users to gain a detailed understanding of the stores.

[1743] Step 6:

[1744] The server means transmits the generated store tour information to the terminal means.

[1745] Input: Auto-generated store tour information

[1746] Output: Data sent to a terminal device

[1747] Specific operation: The server means transmits the generated store tour information to the terminal means as a data packet. After transmission, the information becomes viewable on the user's terminal.

[1748] Step 7:

[1749] The user uses the terminal means to view the store tour information and make the best purchasing decision.

[1750] Input: Store tour information displayed on the terminal

[1751] Output: User's store selection and purchasing behavior

[1752] Specific operations: The user browses the detailed store tour information displayed on the terminal and checks the main facilities and product layout in the store, which allows the user to make an appropriate purchasing decision and decide on the next course of action.

[1753] 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.

[1754] 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.

[1755] 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.

[1756] 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.

[1757] 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.

[1758] 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.

[1759] 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).

[1760] 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.

[1761] 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."

[1762] 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.

[1763] 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).

[1764] 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.

[1765] 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.

[1766] 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.

[1767] 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.

[1768] 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.

[1769] 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.

[1770] 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.

[1771] 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.

[1772] 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.

[1773] 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.

[1774] The following is further disclosed regarding the above embodiment.

[1775] (Claim 1)

[1776] a terminal means for a user to input personal information;

[1777] a server means for receiving the personal information from the terminal means;

[1778] analysis means for the server means to select the most suitable educational institution and faculty for the user based on the personal information;

[1779] a recommendation means for the server means to recommend educational institutions and departments based on the results of the analysis means;

[1780] a generating means for automatically generating campus tour information about the educational institution recommended by the recommending means;

[1781] a display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying the information;

[1782] A system including:

[1783] (Claim 2)

[1784] The system of claim 1 , wherein the campus tour information includes information about the institution's main facilities, student life, classroom scenes, and faculty.

[1785] (Claim 3)

[1786] 2. The system according to claim 1, wherein the analyzing means selects an educational institution and a faculty taking into consideration the user's academic ability, geographical location, and career aspirations.

[1787] "Example 1"

[1788] (Claim 1)

[1789] a terminal means for a user to input personal information;

[1790] a server means for receiving the personal information from the terminal means;

[1791] analysis means for the server means to select the most suitable educational institution and faculty for the user based on the personal information;

[1792] a recommendation means for the server means to recommend educational institutions and departments based on the results of the analysis means;

[1793] a generating means for automatically generating campus tour information about the educational institution recommended by the recommending means;

[1794] a display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying the information;

[1795] A system including:

[1796] (Claim 2)

[1797] The system of claim 1 , wherein the campus tour information includes information about the institution's main facilities, student life, classroom scenes, and faculty.

[1798] (Claim 3)

[1799] 2. The system according to claim 1, wherein the analyzing means selects an educational institution and a faculty taking into consideration the user's academic ability, geographical location, and career aspirations.

[1800] (Claim 4)

[1801] 2. The system according to claim 1, wherein the personal information is transmitted to the server when the user clicks a send button.

[1802] (Claim 5)

[1803] 2. The system according to claim 1, further comprising means for storing the received personal information in a database.

[1804] (Claim 6)

[1805] 10. The system of claim 1, wherein the server includes means for using an analytical algorithm to list the most suitable educational institutions and departments.

[1806] (Claim 7)

[1807] The system according to claim 1, wherein the server includes means for generating campus tour information using an API.

[1808] (Claim 8)

[1809] The system according to claim 1, wherein the terminal includes means for displaying the generated campus tour information on a browser or an app.

[1810] "Application Example 1"

[1811] (Claim 1)

[1812] a terminal means for a user to input personal information;

[1813] a server means for receiving the personal information from the terminal means;

[1814] analysis means for the server means to select the most suitable facilities and products for the user based on the personal information;

[1815] a recommendation means for the server means to recommend facilities and products based on the results of the analysis means;

[1816] a generating means for automatically generating tour information about the facilities recommended by the recommending means;

[1817] a display means for transmitting the tour information generated by the generation means to the terminal means and displaying the tour information;

[1818] A system including:

[1819] (Claim 2)

[1820] The system of claim 1 , wherein the tour information includes information about key areas of the facility, visitor experiences, exhibit overviews, and guides.

[1821] (Claim 3)

[1822] 2. The system according to claim 1, wherein the analysis means selects facilities and products taking into consideration user preferences, budget, and geographical conditions.

[1823] "Example 2: Combining Emotion Engines"

[1824] (Claim 1)

[1825] a terminal means for a user to input personal information;

[1826] a server means for receiving the personal information from the terminal means and storing it in a database;

[1827] an analysis means for the server means to select the most suitable educational institution and faculty for the user based on the personal information;

[1828] the server means analyzes the user's emotional state and makes adjustments taking the results into consideration;

[1829] a recommendation means for the server means to recommend educational institutions and departments based on the results of the analysis means and emotion engine;

[1830] a generating means for automatically generating campus tour information about the educational institution recommended by the recommending means;

[1831] a display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying the information;

[1832] A system including:

[1833] (Claim 2)

[1834] The system of claim 1 , wherein the campus tour information includes information about the institution's main facilities, student life, classroom scenes, and faculty.

[1835] (Claim 3)

[1836] 2. The system of claim 1, wherein the analysis means selects an educational institution and department taking into consideration the user's academic ability, geographic location, career aspirations, and emotional state.

[1837] "Application example 2 when combining emotion engines"

[1838] (Claim 1)

[1839] a terminal means for a user to input personal information and emotional state;

[1840] a server means for receiving the personal information and the emotional state from the terminal means;

[1841] an analysis means for the server means to select the most suitable physical store for the user based on the personal information and emotional state;

[1842] a recommendation means for the server means to recommend a physical store based on the result of the analysis means;

[1843] a generating means for automatically generating store tour information about the physical store recommended by the recommending means;

[1844] a display means for transmitting the store tour information generated by the generation means to the terminal means and displaying the information;

[1845] A system including:

[1846] (Claim 2)

[1847] The system according to claim 1, wherein the store tour information includes information about the store's main facilities, product layout, sales scenes, and staff.

[1848] (Claim 3)

[1849] The system according to claim 1, wherein the analysis means selects a physical store taking into consideration the user's purchasing intentions, emotional state, and geographical conditions. [Explanation of symbols]

[1850] 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 terminal means for a user to input personal information; a server means for receiving the personal information from the terminal means; analysis means for the server means to select the most suitable educational institution and faculty for the user based on the personal information; a recommendation means for the server means to recommend educational institutions and departments based on the results of the analysis means; a generating means for automatically generating campus tour information about the educational institution recommended by the recommending means; a display means for transmitting the campus tour information generated by the generation means to the terminal means and displaying the information; A system including:

2. The system of claim 1 , wherein the campus tour information includes information about the educational institution's main facilities, student life, classroom scenes, and faculty.

3. 2. The system according to claim 1, wherein said analyzing means selects an educational institution and a faculty taking into consideration the user's academic ability, geographical location, and career aspirations.

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