system

Abstract

We provide the system. [Solution] A means for the user to request information about their travel destination, The means by which the terminal sends a request to the server, A server receives a request and has means to retrieve information from a database based on that request. A means of analyzing the information acquired by the server and compiling it for provision to the user, A means for the server to send the compiled information back to the terminal, A means of displaying information received by the terminal from the server and presenting it in a format that the user can verify, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern times, when many people make travel plans, they use the Internet to search for information about the destination. However, the relevant information is scattered, and it takes time to find the necessary information from it. Also, it is difficult to efficiently obtain highly reliable information. In addition, there are few systems that uniformly provide information in different categories such as tourist attractions, restaurants, and transportation means, and an improvement in user usability is desired. There is a need to solve these problems and provide a system that allows users to easily obtain useful information about travel destinations.

Means for Solving the Problems

[0005] The present invention provides a system that includes means for a user to request information about a travel destination, means for a terminal to send a request to a server, means for the server to receive the request and retrieve information from a database based on the request, means for the server to analyze the retrieved information and compile it for the user to provide, means for the server to return the compiled information to the terminal, and means for the terminal to display the information received from the server and present it in a format that the user can confirm. This allows the user to efficiently obtain various types of information about a travel destination through a single interface and to quickly and accurately plan their trip.

[0006] A "user" refers to an individual who uses the system to obtain information about their travel destination.

[0007] A "terminal" refers to a device used by a user (such as a smartphone, tablet, or personal computer), and includes the means for communicating with a server.

[0008] A "request" refers to information or inquiries that a user sends through their device to obtain information about their travel destination.

[0009] A "server" refers to a device that receives requests sent from terminals, accesses a database to obtain necessary information, and performs analysis and processing.

[0010] A "database" refers to a collection of data that stores various types of information about a travel destination (for example, tourist attractions, restaurants, transportation options, etc.).

[0011] "Analysis" refers to the process of organizing and classifying raw data acquired by a server into a format useful to the user.

[0012] "Reply" refers to the communication that returns the information analyzed by the server to the terminal.

[0013] "User interface" refers to the screens and interfaces on a device that allow users to view information and perform operations.

[0014] "Presentation" refers to the process by which a device displays information received from a server in a format that is easy for the user to understand. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0018] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0019] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment]

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

[0025] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0028] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0032] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0035] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0036] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations. The implementation of this system includes the following steps and elements.

[0037] System-wide configuration

[0038] The system consists of a terminal used by the user, a server that receives and processes requests, and a database that stores information.

[0039] 1. User input

[0040] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[0041] 2. Sending requests via the terminal

[0042] The terminal retrieves user input, converts it to an appropriate format (e.g., JSON), and sends it to the server. This is done as an HTTP request. The terminal's role is to accurately convey the user's request to the server.

[0043] 3. Receiving and parsing server requests

[0044] The server receives requests sent from the terminal and parses the information about the requested travel destination. In this step, it analyzes the user's input and generates appropriate database queries.

[0045] 4. Retrieving information from the database

[0046] Based on the analysis results, the server accesses the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data format.

[0047] 5. Analysis and organization of information by the server

[0048] The server analyzes the information retrieved from the database and organizes it into an appropriate format for provision to users. Specifically, it classifies data by category, such as tourist destinations, restaurants, and transportation methods, and organizes it while considering the accuracy and evaluation of the information.

[0049] 6. Sending information from the server to the terminal

[0050] The server returns the organized information to the terminal. This is also done as an HTTP response. The server's role is to provide the user with the information they need in an organized and effective manner.

[0051] 7. Information display via terminal

[0052] The terminal retrieves information received from the server and displays it in a user-friendly format. This includes lists of popular tourist spots, recommendations for local restaurants, and transportation information.

[0053] 8. User information verification and travel planning

[0054] Users check the information displayed on their devices and use it to plan their trip. For example, they might plan to visit tourist spots like Kiyomizu-dera Temple or Kinkaku-ji Temple, or consider dining at Kani Doraku.

[0055] As a concrete example, if a user searches for "I want to travel to Kyoto. What are some recommended spots?",

[0056] 1. The user enters a request into the terminal interface.

[0057] 2. The device sends a request to the server.

[0058] 3. The server receives the request, parses it, and sends a query to the database.

[0059] 4. Obtain information on tourist attractions, restaurants, and transportation options for "Kyoto" from the database.

[0060] 5. The server analyzes the acquired information and organizes it by category.

[0061] 6. The server returns the organized information to the terminal.

[0062] 7. The device displays information on the user interface.

[0063] 8. The user reviews the displayed information and plans their trip.

[0064] This allows users to save time and effort and efficiently obtain useful information about their travel destinations.

[0065] The following describes the processing flow.

[0066] Step 1:

[0067] The user enters destination information into the terminal's interface and presses the send button. For example, they might enter, "Please tell me some recommended spots in Kyoto."

[0068] Step 2:

[0069] The terminal retrieves the user's input and converts it into an appropriate format (e.g., JSON data). It then sends an HTTP request containing the converted data to the server.

[0070] Step 3:

[0071] The server receives an HTTP request sent from the terminal. The server analyzes the request and recognizes that the destination is "Kyoto".

[0072] Step 4:

[0073] Based on the analysis results, the server accesses the database to retrieve the necessary information. Specifically, it executes SQL queries to search for data related to tourist attractions, restaurants, and transportation options in Kyoto.

[0074] Step 5:

[0075] The server analyzes the raw data retrieved from the database. The retrieved data is then categorized into categories such as tourist destinations, restaurants, and transportation, and useful information for the user is selected.

[0076] Step 6:

[0077] The server compiles the analyzed and classified information and generates response data to provide to the user. It then sends the HTTP response containing the generated data to the terminal.

[0078] Step 7:

[0079] The terminal retrieves the HTTP response received from the server and analyzes the response data. Based on the analysis results, the information is displayed in a user-friendly format on the user interface.

[0080] Step 8:

[0081] The user checks the information displayed on their device. This information includes, for example, tourist attractions such as "Kiyomizu-dera Temple" and "Kinkaku-ji Temple," restaurants such as "Kani Doraku," and transportation options.

[0082] By following these steps, users can efficiently obtain useful information about their travel destination and plan their trip.

[0083] (Example 1)

[0084] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0085] In modern society, many users gather travel information via the internet, but this requires checking numerous different sources, which is time-consuming and laborious. Furthermore, the reliability and accuracy of this information vary, making it difficult to obtain accurate data. Therefore, there is a need for a system that allows users to efficiently gather useful travel information and smoothly plan their trips based on that information.

[0086] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0087] In this invention, the server includes means for a user to request information about a travel destination, means for a terminal to send a request to the server, means for the server to receive the request and retrieve information from a database based on the request, means for the server to analyze the retrieved information and organize it into categories for provision to the user, means for the server to return the organized information to the terminal, means for the terminal to display the information received from the server on a user interface and present it in a format that the user can confirm, and means for the user to create a travel plan based on the information displayed on the terminal. This makes it possible for the user to efficiently obtain useful information about a travel destination and easily create a travel plan.

[0088] A "user" refers to an individual who uses this system to obtain information about their travel destination and plan their trip.

[0089] A "terminal" refers to an electronic device used by a user that receives requests, sends them to a server, and displays information from the server. Specific examples include smartphones and personal computers.

[0090] A "request" is an information request entered by a user using their device, and may include requests for detailed information about a specific travel destination or category.

[0091] A "server" refers to a central processing unit that receives requests from terminals, retrieves information from a database based on those requests, and then analyzes and organizes that information.

[0092] A "database" refers to an information repository that a server accesses to retrieve travel destination-related information. Specifically, it stores data such as tourist attractions, restaurants, and transportation options.

[0093] "Means of obtaining information" refers to query operations and information requests that a server executes against a database.

[0094] "Methods for analyzing information and organizing it by category" refers to the process by which a server analyzes information obtained from a database and classifies and organizes it into categories such as tourist destinations, restaurants, and modes of transportation.

[0095] "Means of displaying information on a user interface" refers to the process by which a terminal displays information received from a server in an easily understandable way for the user using an HTML template engine or similar.

[0096] "Methods for planning a trip" refers to a series of actions in which a user decides on places to visit, places to eat, means of transportation, etc., based on travel information displayed on their device.

[0097] This invention is a system that enables users to efficiently obtain useful information about their travel destinations and smoothly plan their trips. The system consists of a terminal used by the user, a server that receives and processes requests, and a database that stores the information.

[0098] Hardware and software configuration

[0099] Device: An electronic device used by a user, including smartphones and personal computers. This includes devices on which web browsers and mobile apps run.

[0100] Server: Includes a processor that receives requests, executes database queries, parses the results, and sends them. Specifically, it is implemented using Node.js or Python, and utilizes web frameworks such as Express.js or Django.

[0101] Database: A repository for storing travel destination information, using relational database systems such as MySQL® or PostgreSQL.

[0102] Program processing

[0103] The server first parses the request received from the terminal and generates a corresponding database query. Next, it executes that query against the database and receives the resulting information. The server then analyzes this information and organizes it into categories (tourist attractions, restaurants, transportation, etc.) for the user to use. The organized information is then sent back to the terminal, which displays it in a user-friendly format.

[0104] Specifically, the server connects to a MySQL database using the Node.js mysql library and retrieves information. The retrieved information is parsed and organized using JavaScript array manipulation and the lodash library. The organized information is converted to JSON format and sent to the terminal as an HTTP response. The terminal retrieves the JSON data received from the server using the JavaScript fetch API and displays the information using an HTML templating engine (e.g., Handlebars.js or React.js).

[0105] Specific example

[0106] The following is a specific action that would occur if a user entered "I want to travel to Kyoto. What are some recommended spots?".

[0107] 1. The user enters "Please tell me some recommended spots in Kyoto" into the terminal's interface.

[0108] 2. The terminal converts this input to JSON format and sends it to the server using the JavaScript fetch API.

[0109] 3. The server parses the received request and generates a database query using Node.js and Express.js.

[0110] 4. The server executes SQL queries against the MySQL database to retrieve the necessary information.

[0111] 5. The server analyzes and organizes the acquired data by category using JavaScript and the lodash library.

[0112] 6. Convert the organized information into JSON format and send it to the terminal as an HTTP response.

[0113] 7. The terminal displays the received information in the user interface using an HTML template engine.

[0114] 8. The user plans their trip based on the displayed information.

[0115] Example of a prompt

[0116] "Could you recommend some sightseeing spots in Kyoto?"

[0117] "I'd like to know about popular restaurants in Kyoto."

[0118] "Please tell me some must-see spots in Kyoto."

[0119] This system allows users to efficiently obtain useful information about their travel destinations and easily plan their trips.

[0120] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0121] Step 1:

[0122] The user requests information about their travel destination. Specifically, the user enters "Please tell me about recommended spots in Kyoto" into the terminal's interface. This input is transmitted to the terminal and treated as request information.

[0123] Input: User request (e.g., "Please recommend some good spots in Kyoto")

[0124] Output: Request data

[0125] Step 2:

[0126] The terminal receives the user's request and converts it to JSON format. After conversion, this JSON data is sent to the server as an HTTP POST request. Specifically, the request is sent using the JavaScript fetch API.

[0127] Input: Request data

[0128] Output: Request data in JSON format

[0129] Step 3:

[0130] The server receives requests sent from the terminal. Specifically, it uses Node.js and Express.js to receive requests. Next, it parses this request data and generates appropriate database queries. These queries are created based on the travel destination and category requested by the user.

[0131] Input: Request data in JSON format

[0132] Output: Database query

[0133] Step 4:

[0134] The server uses the generated query to request information from a database (e.g., MySQL or PostgreSQL). Specifically, it uses the Node.js mysql library to execute SQL queries and retrieve data such as tourist attractions, restaurants, and transportation options related to "Kyoto".

[0135] Input: Database query

[0136] Output: Raw data (tourist destinations, restaurants, transportation, etc.)

[0137] Step 5:

[0138] The server analyzes the raw data retrieved from the database and organizes it by category (tourist destinations, restaurants, transportation, etc.). This is done using JavaScript array manipulation and libraries such as lodash. The data is organized accurately, taking into account the accuracy and value of the information.

[0139] Input: Raw data

[0140] Output: Data organized by category

[0141] Step 6:

[0142] The server converts the organized data into JSON format and sends it to the terminal as an HTTP response. Specifically, this is done using Node.js's res.json (parsedData).

[0143] Input: Data organized by category

[0144] Output: Organized data in JSON format

[0145] Step 7:

[0146] The terminal retrieves JSON data received from the server and displays it in the user interface. Specifically, it uses an HTML templating engine (e.g., Handlebars.js or React.js) to display the information. Here, a list of tourist spots, restaurant recommendations, and transportation information may be displayed on the screen.

[0147] Input: Organized data in JSON format

[0148] Output: Information displayed in the user interface

[0149] Step 8:

[0150] Users check the information displayed on their devices and plan their trip. Specifically, they might plan visits to places like Kiyomizu-dera Temple or Kinkaku-ji Temple, or consider dining at a Kani Doraku restaurant.

[0151] Input: Information displayed in the user interface

[0152] Output: Travel plan

[0153] As described above, users can efficiently obtain useful information about their travel destinations and easily plan their trips.

[0154] (Application Example 1)

[0155] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0156] Traditional travel information systems had limitations in allowing users to efficiently obtain information about their travel destinations. Furthermore, the lack of real-time information on nearby physical stores made it difficult for users to obtain immediately useful information on-site. This resulted in reduced accuracy in travel planning and lower satisfaction levels.

[0157] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0158] In this invention, the server includes means for providing real-time information on nearby physical stores based on location information requested by the user, means for the user to request information on their travel destination, and means for the terminal to send the request to the server. This makes it possible for the user to efficiently obtain useful information in real time while at their location.

[0159] "A means for users to request information about their travel destination" refers to an interface that allows users to input specific information about their travel destination and send a request to the system.

[0160] "Means by which a terminal sends a request to a server" refers to the means of communication used to convert a request entered by the user into an appropriate data format and send it to the server.

[0161] "Means by which a server receives a request and retrieves information from a database based on that request" refers to the process of analyzing a request sent from a terminal, querying the database based on that request, and retrieving the necessary information.

[0162] "The means by which a server analyzes acquired information and compiles it for provision to the user" refers to the process of analyzing raw data obtained from a database and organizing and processing it into a format useful to the user.

[0163] "Means of sending information compiled by the server back to the terminal" refers to a communication method for converting the analyzed and organized information into an appropriate data format and sending it back to the terminal.

[0164] "A means by which a terminal displays information received from a server and presents it in a format that the user can verify" refers to an interface that displays information received from a server in a visually easy-to-understand format, making it easy for the user to verify.

[0165] "A means of providing real-time information on nearby physical stores based on location information requested by the user" refers to the process of searching for, retrieving, and providing real-time information on nearby physical stores based on the user's current location.

[0166] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations. This system mainly consists of a user terminal, a server, and a database.

[0167] User operation steps

[0168] Users use smartphones or other devices to input text or touch information into the interface as a means of requesting information about their travel destination. For example, they might type, "Please tell me about recommended spots in Kyoto." Users can also select specific categories, such as tourist attractions, restaurants, or transportation.

[0169] Data transmission and reception

[0170] The terminal retrieves the user's input and converts it into an appropriate data format, such as JSON. Then, it uses an HTTP request to send the data to the server, which is the means by which the terminal sends a request to the server. For example, if the request is for "a cafe in Kyoto," that information will be sent to the server.

[0171] Server Processing

[0172] The server uses a means of receiving requests and retrieving information from the database based on those requests to obtain appropriate information from the database. In this process, location information is also analyzed to obtain information about nearby physical stores based on the user's current location. Based on the request content, an appropriate database query is generated to retrieve the necessary information.

[0173] The acquired information is processed and organized using a method that "analyzes the information acquired by the server and compiles it for provision to the user." Specifically, raw data is classified by category, and important information is prioritized and organized, taking into account ratings and user reviews.

[0174] Data provision

[0175] The server converts the organized information into a format such as JSON and sends it back to the terminal as an HTTP response using a "means for the server to return the compiled information to the terminal." For example, this could include information about cafes in Kyoto, such as ratings, reviews, and transportation options.

[0176] Displaying information

[0177] The device will display received information in a visually easy-to-understand interface, serving as a means of presenting it in a format that the user can verify. This will include displays such as lists of tourist spots, maps, and details about transportation options.

[0178] Specific example

[0179] For example, if a user searches for "cafes near Kyoto," the server retrieves relevant cafe information from its database, compiles ratings and reviews, and sends them to the user's device. The user can then use this information to choose a cafe they want to visit. This system allows users to obtain useful information in real time and efficiently plan their trips.

[0180] Example of a prompt

[0181] "You are a developer of a travel guide app. Please show me how to implement an application that allows users to obtain real-time, up-to-date information on tourist attractions, restaurants, and transportation in a specific travel destination. Please also provide specific program code examples. The travel destination is 'Kyoto,' and the categories are 'Tourist Attractions,' 'Restaurants,' and 'Transportation.'"

[0182] This invention enables users to efficiently obtain useful information in real time while on location, thereby enhancing their travel enjoyment. This allows them to quickly grasp information about their travel destination and take appropriate action.

[0183] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0184] Step 1:

[0185] A way for users to request information about their travel destination

[0186] The user enters the destination and category (e.g., tourist attraction, restaurant, etc.) into the terminal's interface.

[0187] Input: Travel destination and category (e.g., cafes in Kyoto)

[0188] Output: Input request data

[0189] Specific operation: The user enters text indicating the place they want to go and the information they want to know (e.g., tourist spots in Kyoto, cafes).

[0190] Step 2:

[0191] The means by which a terminal sends a request to a server

[0192] The terminal receives user input, converts it to an appropriate data format (e.g., JSON), and sends it to the server via an HTTP request.

[0193] Input: User request data

[0194] Output: HTTP request sent to the server

[0195] Specific action: The device creates JSON data containing "cafes in Kyoto" and sends it to the server as an HTTP request.

[0196] Step 3:

[0197] A server receives a request and retrieves information from a database based on that request.

[0198] The server parses the request, generates a database query, and retrieves the relevant information.

[0199] Input: Request data included in the HTTP request

[0200] Output: Acquired data (e.g., information on cafes in Kyoto)

[0201] Specific operation: The server receives an HTTP request, parses the request data to generate database queries related to "cafes in Kyoto," and then sends those queries to the database.

[0202] Step 4:

[0203] A means of analyzing information acquired by a server and compiling it for provision to the user.

[0204] The server organizes the information retrieved from the database into categories, extracts important information, and summarizes it.

[0205] Input: Raw data retrieved from the database

[0206] Output: Organized information (e.g., a list of cafes in Kyoto and their reviews)

[0207] Specific operation: The server analyzes Kyoto cafe information retrieved from the database and creates organized data including ratings and user reviews.

[0208] Step 5:

[0209] A method for the server to send compiled information back to the terminal.

[0210] The server converts the organized information into an appropriate data format (e.g., JSON) and sends it to the terminal as an HTTP response.

[0211] Input: Organized information data

[0212] Output: HTTP response sent to the terminal

[0213] Specific operation: The server converts the organized Kyoto cafe information into JSON format and sends it to the terminal as an HTTP response.

[0214] Step 6:

[0215] A method for displaying information received by a terminal from a server and presenting it in a format that the user can verify.

[0216] The terminal receives the HTTP response and displays it in a visually easy-to-understand format on the user interface.

[0217] Input: HTTP response received from the server

[0218] Output: Information displayed in the user interface

[0219] Specific operation: The terminal analyzes the Kyoto cafe information received from the server and displays it in a list format or on a map.

[0220] Step 7:

[0221] A method for providing real-time information on nearby physical stores based on location information requested by the user.

[0222] The server searches for and provides real-time information on physical stores near the user's current location, based on the user's location data.

[0223] Input: User's current location information

[0224] Output: Information on physical stores near your current location.

[0225] Specific operation: The server analyzes the user's current location, retrieves real-time information about nearby cafes and restaurants from a database, and sends it to the terminal.

[0226] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0227] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations and further customizes that information according to the user's emotions using an emotion engine. The following steps and elements are included in implementing this system.

[0228] System-wide configuration

[0229] The system consists of a terminal used by the user, a server that receives and processes requests, a database that stores information, and an emotion engine.

[0230] 1. User input

[0231] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[0232] 2. Emotion recognition and request transmission by the device.

[0233] The emotion engine analyzes the user's facial expressions and voice to evaluate their current emotional state. Based on the results, it adapts the user's input. The device sends a request containing the analysis results to the server. This request is converted into an appropriate format (e.g., JSON data) and sent as an HTTP request.

[0234] 3. Receiving and parsing server requests

[0235] The server receives HTTP requests sent from the terminal and parses the requested travel destination information. This step also considers the user's sentiment data. The server analyzes the request content and sentiment data to generate appropriate database queries.

[0236] 4. Retrieving information from the database

[0237] Based on the analysis results, the server accesses the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data format.

[0238] 5. Analysis and organization of information by the server

[0239] The server analyzes the information retrieved from the database and organizes it into an appropriate format for providing to the user. Specifically, it classifies data by categories such as tourist destinations, restaurants, and transportation, and customizes the information according to the user's sentiment.

[0240] 6. Sending information from the server to the terminal

[0241] The server returns the organized information to the terminal. This is also done as an HTTP response. The server's role is to provide the user with the information they need in an organized and effective manner.

[0242] 7. Information display via terminal

[0243] The device retrieves information received from the server and displays it in a user-friendly format. Based on the analysis results of the emotion engine, the displayed information is optimized to the user's emotions.

[0244] 8. User information verification and travel planning

[0245] Users review the information displayed on their device and use it to plan their trip. For example, if a user has shown interest in "Kiyomizu-dera Temple" or "Kinkaku-ji Temple," these tourist destinations will be recommended. Additionally, information such as "relaxing cafes" or "adventure-style activities" will be added depending on the user's emotional state.

[0246] As a concrete example, if a user searches for "I want to travel to Kyoto. What are some recommended spots?", and the emotion engine recognizes that the user is feeling stressed,

[0247] 1. The user enters a request into the device interface, and the emotion engine analyzes the emotion.

[0248] 2. The device sends a request to the server.

[0249] 3. The server receives the request and sentiment data, analyzes it, and queries the database.

[0250] 4. Obtain information on tourist attractions, relaxing restaurants, and transportation options for "Kyoto" from the database.

[0251] 5. The server analyzes the acquired information, organizes it by category, and adjusts it while taking sentiment data into consideration.

[0252] 6. The server sends information back to the terminal.

[0253] 7. The device displays information on the user interface, providing information optimized to the user's emotions.

[0254] 8. The user reviews the displayed information and creates a travel plan from a stress-reducing perspective.

[0255] This allows users to efficiently obtain useful information about the best travel destinations tailored to their emotional state and plan their trips accordingly.

[0256] The following describes the processing flow.

[0257] Step 1:

[0258] The user enters information about their travel destination into the device's interface and presses the send button, writing, "Please tell me your recommended spots in Kyoto."

[0259] Step 2:

[0260] The device retrieves user input and activates the emotion engine. The emotion engine analyzes the user's facial expressions and voice to evaluate their current emotional state.

[0261] Step 3:

[0262] The emotion engine identifies the user's emotional state based on the analysis results. For example, it determines whether the user is feeling stressed or relaxed.

[0263] Step 4:

[0264] The device converts the user's input and the sentiment engine's results into an appropriate format (e.g., JSON data) and sends it to the server. Specifically, it creates data such as "Please tell me your recommended spots in Kyoto" and "The user is currently feeling stressed."

[0265] Step 5:

[0266] The server receives an HTTP request sent from the terminal. The server analyzes the request content and sentiment data, and recognizes that the destination is "Kyoto" and the user's sentiment state is "stressed".

[0267] Step 6:

[0268] The server accesses the database based on the analysis results. The server executes SQL queries to retrieve information related to tourist attractions, relaxing restaurants, and transportation options in Kyoto.

[0269] Step 7:

[0270] The server analyzes raw data retrieved from the database. The retrieved data is classified into categories such as tourist destinations, restaurants, and transportation, and information that helps users relax based on their emotional state is selected.

[0271] Step 8:

[0272] The server organizes the analyzed and classified information for use by users. In addition to tourist attractions like Kiyomizu-dera Temple and Kinkaku-ji Temple, the server includes information on restaurants offering relaxation, such as Kani Doraku.

[0273] Step 9:

[0274] The server generates a response containing the organized information and sends it to the terminal. This is also sent as an HTTP response.

[0275] Step 10:

[0276] The terminal retrieves the HTTP response received from the server and analyzes the response data. The terminal then displays optimal information on the user interface, taking into account the user's emotional state.

[0277] Step 11:

[0278] The user checks the information displayed on the terminal. Based on the information of "tourist spots in Kyoto" and "relaxing restaurants" displayed for the user, the user makes a travel plan.

[0279] Through the above steps, the user can efficiently obtain information on the optimal travel destination according to their emotional state and generate a travel plan.

[0280] (Example 2)

[0281] Next, Example 2 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart device 14 is referred to as a "terminal".

[0282] In the conventional travel information acquisition system, there was a problem that customization considering the user's current emotional state was not performed, so it was difficult to provide the information that the user most needed. In particular, due to the lack of proposals according to the emotional state of the user during the travel plan, the user often felt stressed.

[0283] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0284] In this invention, the server includes means for the user to request information on the travel destination, means for the terminal to analyze the user's emotional state, means for the terminal to send a request including the analysis result to the server, means for the server to receive the request and obtain information from the database based on the request, means for the server to analyze the obtained information, customize it according to the user's emotional state, and summarize it for providing to the user, means for the server to return the summarized information to the terminal, and means for the terminal to display the information received from the server and present it in a form that the user can confirm. Thereby, it becomes possible to provide optimal travel information according to the user's emotional state.

[0285] The "user" refers to a person who tries to obtain information on the travel destination.

[0286] "Terminal" refers to an electronic device through which a user inputs information and displays the received information.

[0287] "Emotional state" refers to the psychological situation analyzed from the user's expressions, voice, etc.

[0288] "Emotion engine" refers to the software or hardware installed on the terminal that analyzes the user's expressions and voice to evaluate the emotional state.

[0289] "Request" refers to a message that a user sends to a server through a terminal to request specific information.

[0290] "Server" refers to a device or system that receives requests from terminals, analyzes them to obtain information from a database, and returns the information to the terminals.

[0291] "Database" refers to a collection of data where information is organized and stored, which the server accesses to obtain information.

[0292] "Customize" refers to optimizing and individually adjusting information according to the user's emotional state.

[0293] "HTTP request" refers to a message format based on the Internet protocol for a terminal to request information from a server.

[0294] "JSON format" is one of the ways to structure and represent data in an exchangeable form, which is the abbreviation of JavaScript Object Notation.

[0295] "User interface" refers to the screen and operation interface for a terminal to display information to the user.

[0296] "Information display" refers to the act of displaying the information received from the server on the terminal in a form that is easy for the user to understand.

[0297] "Travel planning" refers to the process of determining the details of a trip based on the information the user has gathered.

[0298] This invention is a system that allows users to efficiently acquire information about their travel destinations and further customizes that information according to the user's emotions using an emotion engine. The following steps and elements are included in implementing this system.

[0299] System-wide configuration

[0300] The system consists of a terminal used by the user, a server that receives and processes requests, a database that stores information, and an emotion engine.

[0301] User input

[0302] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[0303] Emotion recognition and request sending via devices

[0304] The device uses its built-in camera and microphone to input the user's facial expressions and voice into the emotion engine. The emotion engine analyzes this data and evaluates the user's emotional state. Specifically, it analyzes facial expressions and voice tone to determine emotions such as stress, exhilaration, and relaxation. Based on the results, it optimizes the content entered by the user. For example, if the user is feeling stressed, it prioritizes relaxing spots. The optimized request is converted into JSON format and sent to the server as an HTTP request.

[0305] Hardware used: Camera, microphone

[0306] Software to be used: Emotion recognition library (e.g., EmotionAPI), HTTP request library

[0307] Server request reception and analysis

[0308] The server analyzes the HTTP request received from the terminal. Along with the request content, the user's emotion data is also analyzed. Based on this, the server generates an appropriate query to the database.

[0309] Hardware to be used: Server

[0310] Software to be used: HTTP server software (e.g., Apache (registered trademark), Nginx), parsing library (e.g., JSON parser)

[0311] Retrieving information from the database

[0312] The server sends a query to the database to obtain information such as tourist attractions, restaurants, transportation means related to "Kyoto". This information is obtained in the form of raw data and is often returned in JSON format.

[0313] Hardware to be used: Database server

[0314] Software to be used: Database management system (e.g., MySQL, PostgreSQL)

[0315] Analysis and organization of information by the server

[0316] The server analyzes the obtained information and organizes it into an appropriate format for providing to the user. The information is classified into categories such as tourist attractions, restaurants, transportation means. Furthermore, the information is customized according to the user's emotion. For example, if the emotion engine evaluates that the user is feeling stressed, places or activities where one can relax are preferentially selected.

[0317] Hardware to be used: Server

[0318] Software to be used: Data analysis libraries (e.g., Pandas, NumPy)

[0319] Information transmission from server to terminal

[0320] The server returns the organized information to the terminal. This information is also sent as an HTTP response in JSON format. The server's role is to efficiently provide the information the user requests.

[0321] Hardware used: Server

[0322] Software used: HTTP server software, JSON library

[0323] Information display via terminal

[0324] The device retrieves information received from the server and displays it in the UI (User Interface). Based on the analysis results of the emotion engine, the displayed information is optimized for the user's emotions. Specifically, a user feeling stressed might be recommended a relaxing place like a cafe.

[0325] Hardware used: Smartphone, tablet

[0326] Software used: UI libraries (e.g., React Native, Flutter®)

[0327] User information verification and travel planning

[0328] Users review the information displayed on their devices and plan their trips. For example, if a user expresses interest in Kiyomizu-dera Temple and Kinkaku-ji Temple, information on relaxing cafes and activities will be provided along with information on these tourist destinations.

[0329] Specific examples and prompt statements

[0330] For example, consider a scenario where a user searches for "I want to travel to Kyoto. What are some recommended spots?" and the emotion engine recognizes the user's stress.

[0331] Example of a specific prompt: "Show me recommended tourist spots in Kyoto. The user is currently stressed, so prioritize providing relaxing places."

[0332] This allows users to efficiently obtain useful information about the best travel destinations tailored to their emotional state and plan their trips accordingly.

[0333] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0334] Step 1:

[0335] The user enters a request into the terminal interface, stating, "Please tell me some recommended spots in Kyoto." This request seeks information about a travel destination. The input data is in text format, and the request can include categories such as specific tourist attractions, restaurants, and transportation options.

[0336] Step 2:

[0337] The device uses its built-in camera and microphone to input the user's facial expressions and voice into the emotion engine. The emotion engine analyzes this data and evaluates the user's emotional state. The input data is in image or audio format, and the data is analyzed to determine emotions such as stress, exhilaration, and relaxation. Based on these results, the system optimizes the user's requests.

[0338] Specific actions:

[0339] Input: User facial expression data (image), audio data

[0340] Data processing: Image analysis, audio analysis

[0341] Output: Emotional state (e.g., stress)

[0342] Step 3:

[0343] The device converts an optimized request (for example, "Recommended relaxing spots in Kyoto" that take the user's stress level into JSON format) and sends it to the server as an HTTP request. The input data is the optimized request text, and the output data is an HTTP request in JSON format.

[0344] Specific actions:

[0345] Input: Optimized request text

[0346] Data processing: Conversion to JSON format

[0347] Output: HTTP request

[0348] Step 4:

[0349] The server analyzes HTTP requests received from terminals. Along with the request content, user sentiment data is also analyzed, and appropriate queries are generated in the database. The input data is the HTTP request, and the output data is the database query.

[0350] Specific actions:

[0351] Input: HTTP Request

[0352] Data analysis: Identifying the content of the request

[0353] Output: Database query

[0354] Step 5:

[0355] The server sends a query to the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. The input data is the database query, and the output data is raw data containing information about "Kyoto."

[0356] Specific actions:

[0357] Input: Database query

[0358] Data acquisition: Extraction of relevant information

[0359] Output: Raw data (tourist destinations, restaurants, etc.)

[0360] Step 6:

[0361] The server analyzes the acquired information and organizes it into an appropriate format for provision to the user. The information is categorized into areas such as tourist attractions, restaurants, and transportation, and customized based on sentiment data. Input data is raw data, while output data is organized information.

[0362] Specific actions:

[0363] Input: Raw data

[0364] Data Analysis and Classification: Organization by Category

[0365] Output: Organized information

[0366] Step 7:

[0367] The server returns the organized information to the terminal. This information is also sent as an HTTP response in JSON format. The input data is organized information, and the output data is the HTTP response.

[0368] Specific actions:

[0369] Input: Organized information

[0370] Data conversion: Conversion to JSON format

[0371] Output: HTTP response

[0372] Step 8:

[0373] The device retrieves information received from the server and displays it in the UI (User Interface). Based on the analysis results of the emotion engine, the displayed information is optimized for the user's emotions. The input data is the HTTP response, and the output data is the information displayed in the user interface.

[0374] Specific actions:

[0375] Input: HTTP response

[0376] Data display: Display on UI

[0377] Output: Information displayed in the user interface

[0378] (Application Example 2)

[0379] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0380] Traditional travel information systems failed to adequately enhance user satisfaction because they did not offer customization based on user emotions. Furthermore, the static nature of the information provided made it difficult to offer users real-time experiences or emotional responses, hindering the improvement of travel planning quality. This resulted in inefficient travel preparation and, consequently, lower overall travel satisfaction.

[0381] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for an emotion engine to analyze the user's current emotional state and customize the information displayed based on the analysis results, means for the user to wear a head-mounted display and experience a virtual tour of a travel destination, and means for analyzing the request entered by the user and identifying relevant travel information. This makes it possible to provide travel information and a virtual tour experience optimized according to the user's emotional state, thereby improving the user's satisfaction with both travel preparation and the trip itself.

[0382] A "user" is an individual or group that uses the system to obtain travel information.

[0383] "Destination information" refers to data such as tourist attractions, restaurants, transportation options, and activities related to a specific destination.

[0384] A "request" refers to a request that a user sends to a server through their device to obtain specific information.

[0385] A "terminal" is a device used by a user to input requests and display information, and includes smartphones, tablets, computers, and head-mounted displays.

[0386] A "server" is a central computer system that receives requests from users, retrieves and analyzes information from a database, and provides it to the user.

[0387] A "database" is a data storage system that holds information related to a travel destination and is accessible to a server.

[0388] An "emotion engine" is a software or hardware component that analyzes a user's facial expressions and voice to evaluate the user's current emotional state.

[0389] A "virtual tour" refers to a process where a user wears a head-mounted display and virtually experiences a travel destination using virtual reality technology.

[0390] "Customization" refers to adjusting information based on user requests and emotional states to make it individually suitable.

[0391] This invention is a system that allows users to efficiently obtain useful information about their travel destinations and customizes that information according to the user's emotions using an emotion engine. This system generates information based on user requests and provides that information through a virtual tour.

[0392] System-wide configuration

[0393] The system consists of a user terminal, a server that receives and processes requests, a database that stores information, and an emotion engine. It also includes a head-mounted display for users to experience virtual tours.

[0394] User input and request submission

[0395] Users request information about a specific travel destination (e.g., Kyoto) using a device such as a smartphone or tablet. The request is entered in natural language, such as "Please tell me some recommended spots in Kyoto," and their emotional state at the time is also recorded.

[0396] Analysis using an emotion engine

[0397] The device analyzes the user's voice and facial expressions using an emotion engine to assess the user's current emotions. For example, if the user is feeling stressed, that information will be included in the request.

[0398] Server receives and analyzes requests.

[0399] The server receives a request sent from the terminal. The request also includes the user's sentiment data. Next, the server analyzes the request content and sentiment data, and generates an appropriate database query based on that analysis.

[0400] Retrieving information from the database

[0401] The server accesses the database to retrieve information in response to the request. This includes information such as tourist attractions, restaurants, and transportation options in the travel destination.

[0402] Information analysis and organization

[0403] The server analyzes information retrieved from the database and organizes it in a customized way according to the user's emotions. For example, for a user experiencing stress, it prioritizes providing information on relaxing cafes and calm tourist spots.

[0404] Offering virtual tours

[0405] Users wear a head-mounted display to experience a virtual tour. Information transmitted from the server is displayed as a virtual tour, providing a real-time, emotionally responsive travel experience.

[0406] Specific example

[0407] If a user asks the head-mounted display, "What are some recommended spots in Kyoto to relieve stress?", the emotion engine analyzes the user's emotions and determines that they are seeking relaxation. The server generates an appropriate database query and retrieves information such as relaxing cafes and gardens. This information is displayed on the head-mounted display, allowing the user to virtually experience the destination through a virtual tour.

[0408] Example of a prompt

[0409] As a prompt, "Considering the user is seeking relaxation, please recommend some suitable spots in Kyoto to relieve stress."

[0410] This invention enables the provision of optimized travel information tailored to the user's emotional state, thereby increasing satisfaction with both travel preparation and the trip itself.

[0411] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0412] Step 1:

[0413] The user requests information about their travel destination using their device. Specifically, the user inputs a request such as "Please tell me some recommended spots in Kyoto" in natural language into the interface of their smartphone or tablet. This input becomes the initial data for processing.

[0414] Step 2:

[0415] The device receives a request and uses an emotion engine to analyze the user's facial expressions and voice. The emotion engine uses voice and facial recognition technology based on the user's input to evaluate the user's emotional state. The input at this time is the user's request and data on their facial expressions and voice, and the output is an evaluation result indicating the user's emotional state.

[0416] Step 3:

[0417] The device sends a request to the server containing the sentiment analysis results. The request data is converted to JSON format and sent as an HTTP request. The input is the sentiment analysis results and the request content, and the output is the request sent to the server.

[0418] Step 4:

[0419] The server analyzes the request received from the terminal. Based on the user's sentiment data and the request content, the server generates an appropriate database query. The input is the received request data, and the output is the generated database query.

[0420] Step 5:

[0421] The server retrieves information from the database in response to the request. The database contains information such as tourist attractions, restaurants, and transportation options. The input is a database query, and the output is the retrieved relevant information.

[0422] Step 6:

[0423] The server analyzes the acquired information and organizes it in a customized format according to the user's emotional state. The input is the acquired raw data, and the output is the organized and customized information.

[0424] Step 7:

[0425] The server returns the organized information to the terminal. The information is converted back into JSON format and sent to the terminal as an HTTP response. The input is organized information, and the output is the transmission of information to the terminal.

[0426] Step 8:

[0427] The device retrieves information received from the server and displays it to the user through a head-mounted display. The information is displayed in a format that allows the user to experience a virtual tour. The input is the received customized information, and the output is the virtual tour displayed in the user's field of view.

[0428] Step 9:

[0429] Users experience a virtual tour of their travel destination while wearing a head-mounted display. Because the information provided is optimized for the user's emotions, stress reduction and relaxation effects can be expected. The input is the virtual tour displayed in the user's field of vision, and the output is an improvement in the user's satisfaction with their travel experience.

[0430] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0431] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0432] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0433] [Second Embodiment]

[0434] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0435] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0436] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0437] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0438] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0439] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0440] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0441] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0442] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0443] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0444] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0445] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0446] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations. The implementation of this system includes the following steps and elements.

[0447] System-wide configuration

[0448] The system consists of a terminal used by the user, a server that receives and processes requests, and a database that stores information.

[0449] 1. User input

[0450] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[0451] 2. Sending requests via the terminal

[0452] The terminal retrieves user input, converts it to an appropriate format (e.g., JSON), and sends it to the server. This is done as an HTTP request. The terminal's role is to accurately convey the user's request to the server.

[0453] 3. Receiving and parsing server requests

[0454] The server receives requests sent from the terminal and parses the information about the requested travel destination. In this step, it analyzes the user's input and generates appropriate database queries.

[0455] 4. Retrieving information from the database

[0456] Based on the analysis results, the server accesses the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data format.

[0457] 5. Analysis and organization of information by the server

[0458] The server analyzes the information retrieved from the database and organizes it into an appropriate format for provision to users. Specifically, it classifies data by category, such as tourist destinations, restaurants, and transportation methods, and organizes it while considering the accuracy and evaluation of the information.

[0459] 6. Sending information from the server to the terminal

[0460] The server returns the organized information to the terminal. This is also done as an HTTP response. The server's role is to provide the user with the information they need in an organized and effective manner.

[0461] 7. Information display via terminal

[0462] The terminal retrieves information received from the server and displays it in a user-friendly format. This includes lists of popular tourist spots, recommendations for local restaurants, and transportation information.

[0463] 8. User information verification and travel planning

[0464] Users check the information displayed on their devices and use it to plan their trip. For example, they might plan to visit tourist spots like Kiyomizu-dera Temple or Kinkaku-ji Temple, or consider dining at Kani Doraku.

[0465] As a concrete example, if a user searches for "I want to travel to Kyoto. What are some recommended spots?",

[0466] 1. The user enters a request into the terminal interface.

[0467] 2. The device sends a request to the server.

[0468] 3. The server receives the request, parses it, and sends a query to the database.

[0469] 4. Obtain information on tourist attractions, restaurants, and transportation options for "Kyoto" from the database.

[0470] 5. The server analyzes the acquired information and organizes it by category.

[0471] 6. The server returns the organized information to the terminal.

[0472] 7. The device displays information on the user interface.

[0473] 8. The user reviews the displayed information and plans their trip.

[0474] This allows users to save time and effort and efficiently obtain useful information about their travel destinations.

[0475] The following describes the processing flow.

[0476] Step 1:

[0477] The user enters destination information into the terminal's interface and presses the send button. For example, they might enter, "Please tell me some recommended spots in Kyoto."

[0478] Step 2:

[0479] The terminal retrieves the user's input and converts it into an appropriate format (e.g., JSON data). It then sends an HTTP request containing the converted data to the server.

[0480] Step 3:

[0481] The server receives an HTTP request sent from the terminal. The server analyzes the request and recognizes that the destination is "Kyoto".

[0482] Step 4:

[0483] Based on the analysis results, the server accesses the database to retrieve the necessary information. Specifically, it executes SQL queries to search for data related to tourist attractions, restaurants, and transportation options in Kyoto.

[0484] Step 5:

[0485] The server analyzes the raw data retrieved from the database. The retrieved data is then categorized into categories such as tourist destinations, restaurants, and transportation, and useful information for the user is selected.

[0486] Step 6:

[0487] The server compiles the analyzed and classified information and generates response data to provide to the user. It then sends the HTTP response containing the generated data to the terminal.

[0488] Step 7:

[0489] The terminal retrieves the HTTP response received from the server and analyzes the response data. Based on the analysis results, the information is displayed in a user-friendly format on the user interface.

[0490] Step 8:

[0491] The user checks the information displayed on their device. This information includes, for example, tourist attractions such as "Kiyomizu-dera Temple" and "Kinkaku-ji Temple," restaurants such as "Kani Doraku," and transportation options.

[0492] By following these steps, users can efficiently obtain useful information about their travel destination and plan their trip.

[0493] (Example 1)

[0494] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0495] In modern society, many users gather travel information via the internet, but this requires checking numerous different sources, which is time-consuming and laborious. Furthermore, the reliability and accuracy of this information vary, making it difficult to obtain accurate data. Therefore, there is a need for a system that allows users to efficiently gather useful travel information and smoothly plan their trips based on that information.

[0496] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0497] In this invention, the server includes means for a user to request information about a travel destination, means for a terminal to send a request to the server, means for the server to receive the request and retrieve information from a database based on the request, means for the server to analyze the retrieved information and organize it into categories for provision to the user, means for the server to return the organized information to the terminal, means for the terminal to display the information received from the server on a user interface and present it in a format that the user can confirm, and means for the user to create a travel plan based on the information displayed on the terminal. This makes it possible for the user to efficiently obtain useful information about a travel destination and easily create a travel plan.

[0498] A "user" refers to an individual who uses this system to obtain information about their travel destination and plan their trip.

[0499] A "terminal" refers to an electronic device used by a user that receives requests, sends them to a server, and displays information from the server. Specific examples include smartphones and personal computers.

[0500] A "request" is an information request entered by a user using their device, and may include requests for detailed information about a specific travel destination or category.

[0501] A "server" refers to a central processing unit that receives requests from terminals, retrieves information from a database based on those requests, and then analyzes and organizes that information.

[0502] A "database" refers to an information repository that a server accesses to retrieve travel destination-related information. Specifically, it stores data such as tourist attractions, restaurants, and transportation options.

[0503] "Means of obtaining information" refers to query operations and information requests that a server executes against a database.

[0504] "Methods for analyzing information and organizing it by category" refers to the process by which a server analyzes information obtained from a database and classifies and organizes it into categories such as tourist destinations, restaurants, and modes of transportation.

[0505] "Means of displaying information on a user interface" refers to the process by which a terminal displays information received from a server in an easily understandable way for the user using an HTML template engine or similar.

[0506] "Methods for planning a trip" refers to a series of actions in which a user decides on places to visit, places to eat, means of transportation, etc., based on travel information displayed on their device.

[0507] This invention is a system that enables users to efficiently obtain useful information about their travel destinations and smoothly plan their trips. The system consists of a terminal used by the user, a server that receives and processes requests, and a database that stores the information.

[0508] Hardware and software configuration

[0509] Device: An electronic device used by a user, including smartphones and personal computers. This includes devices on which web browsers and mobile apps run.

[0510] Server: Includes a processor that receives requests, executes database queries, parses the results, and sends them. Specifically, it is implemented using Node.js or Python, and utilizes web frameworks such as Express.js or Django.

[0511] Database: A repository for storing travel destination information, using relational database systems such as MySQL or PostgreSQL.

[0512] Program processing

[0513] The server first parses the request received from the terminal and generates a corresponding database query. Next, it executes that query against the database and receives the resulting information. The server then analyzes this information and organizes it into categories (tourist attractions, restaurants, transportation, etc.) for the user to use. The organized information is then sent back to the terminal, which displays it in a user-friendly format.

[0514] Specifically, the server connects to a MySQL database using the Node.js mysql library and retrieves information. The retrieved information is parsed and organized using JavaScript array manipulation and the lodash library. The organized information is converted to JSON format and sent to the terminal as an HTTP response. The terminal retrieves the JSON data received from the server using the JavaScript fetch API and displays the information using an HTML templating engine (e.g., Handlebars.js or React.js).

[0515] Specific example

[0516] The following is a specific action that would occur if a user entered "I want to travel to Kyoto. What are some recommended spots?".

[0517] 1. The user enters "Please tell me some recommended spots in Kyoto" into the terminal's interface.

[0518] 2. The terminal converts this input to JSON format and sends it to the server using the JavaScript fetch API.

[0519] 3. The server parses the received request and generates a database query using Node.js and Express.js.

[0520] 4. The server executes SQL queries against the MySQL database to retrieve the necessary information.

[0521] 5. The server analyzes and organizes the acquired data by category using JavaScript and the lodash library.

[0522] 6. Convert the organized information into JSON format and send it to the terminal as an HTTP response.

[0523] 7. The terminal displays the received information in the user interface using an HTML template engine.

[0524] 8. The user plans their trip based on the displayed information.

[0525] Example of a prompt

[0526] "Could you recommend some sightseeing spots in Kyoto?"

[0527] "I'd like to know about popular restaurants in Kyoto."

[0528] "Please tell me some must-see spots in Kyoto."

[0529] This system allows users to efficiently obtain useful information about their travel destinations and easily plan their trips.

[0530] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0531] Step 1:

[0532] The user requests information about their travel destination. Specifically, the user enters "Please tell me about recommended spots in Kyoto" into the terminal's interface. This input is transmitted to the terminal and treated as request information.

[0533] Input: User request (e.g., "Please recommend some good spots in Kyoto")

[0534] Output: Request data

[0535] Step 2:

[0536] The terminal receives the user's request and converts it to JSON format. After conversion, this JSON data is sent to the server as an HTTP POST request. Specifically, the request is sent using the JavaScript fetch API.

[0537] Input: Request data

[0538] Output: Request data in JSON format

[0539] Step 3:

[0540] The server receives requests sent from the terminal. Specifically, it uses Node.js and Express.js to receive requests. Next, it parses this request data and generates appropriate database queries. These queries are created based on the travel destination and category requested by the user.

[0541] Input: Request data in JSON format

[0542] Output: Database query

[0543] Step 4:

[0544] The server uses the generated query to request information from a database (e.g., MySQL or PostgreSQL). Specifically, it uses the Node.js mysql library to execute SQL queries and retrieve data such as tourist attractions, restaurants, and transportation options related to "Kyoto".

[0545] Input: Database query

[0546] Output: Raw data (tourist destinations, restaurants, transportation, etc.)

[0547] Step 5:

[0548] The server analyzes the raw data retrieved from the database and organizes it by category (tourist destinations, restaurants, transportation, etc.). This is done using JavaScript array manipulation and libraries such as lodash. The data is organized accurately, taking into account the accuracy and value of the information.

[0549] Input: Raw data

[0550] Output: Data organized by category

[0551] Step 6:

[0552] The server converts the organized data into JSON format and sends it to the terminal as an HTTP response. Specifically, this is done using Node.js's res.json (parsedData).

[0553] Input: Data organized by category

[0554] Output: Organized data in JSON format

[0555] Step 7:

[0556] The terminal retrieves JSON data received from the server and displays it in the user interface. Specifically, it uses an HTML templating engine (e.g., Handlebars.js or React.js) to display the information. Here, a list of tourist spots, restaurant recommendations, and transportation information may be displayed on the screen.

[0557] Input: Organized data in JSON format

[0558] Output: Information displayed in the user interface

[0559] Step 8:

[0560] Users check the information displayed on their devices and plan their trip. Specifically, they might plan visits to places like Kiyomizu-dera Temple or Kinkaku-ji Temple, or consider dining at a Kani Doraku restaurant.

[0561] Input: Information displayed in the user interface

[0562] Output: Travel plan

[0563] As described above, users can efficiently obtain useful information about their travel destinations and easily plan their trips.

[0564] (Application Example 1)

[0565] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0566] Traditional travel information systems had limitations in allowing users to efficiently obtain information about their travel destinations. Furthermore, the lack of real-time information on nearby physical stores made it difficult for users to obtain immediately useful information on-site. This resulted in reduced accuracy in travel planning and lower satisfaction levels.

[0567] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0568] In this invention, the server includes means for providing real-time information on nearby physical stores based on location information requested by the user, means for the user to request information on their travel destination, and means for the terminal to send the request to the server. This makes it possible for the user to efficiently obtain useful information in real time while at their location.

[0569] "A means for users to request information about their travel destination" refers to an interface that allows users to input specific information about their travel destination and send a request to the system.

[0570] "Means by which a terminal sends a request to a server" refers to the means of communication used to convert a request entered by the user into an appropriate data format and send it to the server.

[0571] "Means by which a server receives a request and retrieves information from a database based on that request" refers to the process of analyzing a request sent from a terminal, querying the database based on that request, and retrieving the necessary information.

[0572] "The means by which a server analyzes acquired information and compiles it for provision to the user" refers to the process of analyzing raw data obtained from a database and organizing and processing it into a format useful to the user.

[0573] "Means of sending information compiled by the server back to the terminal" refers to a communication method for converting the analyzed and organized information into an appropriate data format and sending it back to the terminal.

[0574] "A means by which a terminal displays information received from a server and presents it in a format that the user can verify" refers to an interface that displays information received from a server in a visually easy-to-understand format, making it easy for the user to verify.

[0575] "A means of providing real-time information on nearby physical stores based on location information requested by the user" refers to the process of searching for, retrieving, and providing real-time information on nearby physical stores based on the user's current location.

[0576] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations. This system mainly consists of a user terminal, a server, and a database.

[0577] User operation steps

[0578] Users use smartphones or other devices to input text or touch information into the interface as a means of requesting information about their travel destination. For example, they might type, "Please tell me about recommended spots in Kyoto." Users can also select specific categories, such as tourist attractions, restaurants, or transportation.

[0579] Data transmission and reception

[0580] The terminal retrieves the user's input and converts it into an appropriate data format, such as JSON. Then, it uses an HTTP request to send the data to the server, which is the means by which the terminal sends a request to the server. For example, if the request is for "a cafe in Kyoto," that information will be sent to the server.

[0581] Server Processing

[0582] The server uses a means of receiving requests and retrieving information from the database based on those requests to obtain appropriate information from the database. In this process, location information is also analyzed to obtain information about nearby physical stores based on the user's current location. Based on the request content, an appropriate database query is generated to retrieve the necessary information.

[0583] The acquired information is processed and organized using a method that "analyzes the information acquired by the server and compiles it for provision to the user." Specifically, raw data is classified by category, and important information is prioritized and organized, taking into account ratings and user reviews.

[0584] Data provision

[0585] The server converts the organized information into a format such as JSON and sends it back to the terminal as an HTTP response using a "means for the server to return the compiled information to the terminal." For example, this could include information about cafes in Kyoto, such as ratings, reviews, and transportation options.

[0586] Displaying information

[0587] The device will display received information in a visually easy-to-understand interface, serving as a means of presenting it in a format that the user can verify. This will include displays such as lists of tourist spots, maps, and details about transportation options.

[0588] Specific example

[0589] For example, if a user searches for "cafes near Kyoto," the server retrieves relevant cafe information from its database, compiles ratings and reviews, and sends them to the user's device. The user can then use this information to choose a cafe they want to visit. This system allows users to obtain useful information in real time and efficiently plan their trips.

[0590] Example of a prompt

[0591] "You are a developer of a travel guide app. Please show me how to implement an application that allows users to obtain real-time, up-to-date information on tourist attractions, restaurants, and transportation in a specific travel destination. Please also provide specific program code examples. The travel destination is 'Kyoto,' and the categories are 'Tourist Attractions,' 'Restaurants,' and 'Transportation.'"

[0592] This invention enables users to efficiently obtain useful information in real time while on location, thereby enhancing their travel enjoyment. This allows them to quickly grasp information about their travel destination and take appropriate action.

[0593] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0594] Step 1:

[0595] A way for users to request information about their travel destination

[0596] The user enters the destination and category (e.g., tourist attraction, restaurant, etc.) into the terminal's interface.

[0597] Input: Travel destination and category (e.g., cafes in Kyoto)

[0598] Output: Input request data

[0599] Specific operation: The user enters text indicating the place they want to go and the information they want to know (e.g., tourist spots in Kyoto, cafes).

[0600] Step 2:

[0601] The means by which a terminal sends a request to a server

[0602] The terminal receives user input, converts it to an appropriate data format (e.g., JSON), and sends it to the server via an HTTP request.

[0603] Input: User request data

[0604] Output: HTTP request sent to the server

[0605] Specific action: The device creates JSON data containing "cafes in Kyoto" and sends it to the server as an HTTP request.

[0606] Step 3:

[0607] A server receives a request and retrieves information from a database based on that request.

[0608] The server parses the request, generates a database query, and retrieves the relevant information.

[0609] Input: Request data included in the HTTP request

[0610] Output: Acquired data (e.g., information on cafes in Kyoto)

[0611] Specific operation: The server receives an HTTP request, parses the request data to generate database queries related to "cafes in Kyoto," and then sends those queries to the database.

[0612] Step 4:

[0613] A means of analyzing information acquired by a server and compiling it for provision to the user.

[0614] The server organizes the information retrieved from the database into categories, extracts important information, and summarizes it.

[0615] Input: Raw data retrieved from the database

[0616] Output: Organized information (e.g., a list of cafes in Kyoto and their reviews)

[0617] Specific operation: The server analyzes Kyoto cafe information retrieved from the database and creates organized data including ratings and user reviews.

[0618] Step 5:

[0619] A method for the server to send compiled information back to the terminal.

[0620] The server converts the organized information into an appropriate data format (e.g., JSON) and sends it to the terminal as an HTTP response.

[0621] Input: Organized information data

[0622] Output: HTTP response sent to the terminal

[0623] Specific operation: The server converts the organized Kyoto cafe information into JSON format and sends it to the terminal as an HTTP response.

[0624] Step 6:

[0625] A method for displaying information received by a terminal from a server and presenting it in a format that the user can verify.

[0626] The terminal receives the HTTP response and displays it in a visually easy-to-understand format on the user interface.

[0627] Input: HTTP response received from the server

[0628] Output: Information displayed in the user interface

[0629] Specific operation: The terminal analyzes the Kyoto cafe information received from the server and displays it in a list format or on a map.

[0630] Step 7:

[0631] A method for providing real-time information on nearby physical stores based on location information requested by the user.

[0632] The server searches for and provides real-time information on physical stores near the user's current location, based on the user's location data.

[0633] Input: User's current location information

[0634] Output: Information on physical stores near your current location.

[0635] Specific operation: The server analyzes the user's current location, retrieves real-time information about nearby cafes and restaurants from a database, and sends it to the terminal.

[0636] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0637] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations and further customizes that information according to the user's emotions using an emotion engine. The following steps and elements are included in implementing this system.

[0638] System-wide configuration

[0639] The system consists of a terminal used by the user, a server that receives and processes requests, a database that stores information, and an emotion engine.

[0640] 1. User input

[0641] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[0642] 2. Emotion recognition and request transmission by the device.

[0643] The emotion engine analyzes the user's facial expressions and voice to evaluate their current emotional state. Based on the results, it adapts the user's input. The device sends a request containing the analysis results to the server. This request is converted into an appropriate format (e.g., JSON data) and sent as an HTTP request.

[0644] 3. Receiving and parsing server requests

[0645] The server receives HTTP requests sent from the terminal and parses the requested travel destination information. This step also considers the user's sentiment data. The server analyzes the request content and sentiment data to generate appropriate database queries.

[0646] 4. Retrieving information from the database

[0647] Based on the analysis results, the server accesses the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data format.

[0648] 5. Analysis and organization of information by the server

[0649] The server analyzes the information retrieved from the database and organizes it into an appropriate format for providing to the user. Specifically, it classifies data by categories such as tourist destinations, restaurants, and transportation, and customizes the information according to the user's sentiment.

[0650] 6. Sending information from the server to the terminal

[0651] The server returns the organized information to the terminal. This is also done as an HTTP response. The server's role is to provide the user with the information they need in an organized and effective manner.

[0652] 7. Information display via terminal

[0653] The device retrieves information received from the server and displays it in a user-friendly format. Based on the analysis results of the emotion engine, the displayed information is optimized to the user's emotions.

[0654] 8. User information verification and travel planning

[0655] Users review the information displayed on their device and use it to plan their trip. For example, if a user has shown interest in "Kiyomizu-dera Temple" or "Kinkaku-ji Temple," these tourist destinations will be recommended. Additionally, information such as "relaxing cafes" or "adventure-style activities" will be added depending on the user's emotional state.

[0656] As a concrete example, if a user searches for "I want to travel to Kyoto. What are some recommended spots?", and the emotion engine recognizes that the user is feeling stressed,

[0657] 1. The user enters a request into the device interface, and the emotion engine analyzes the emotion.

[0658] 2. The device sends a request to the server.

[0659] 3. The server receives the request and sentiment data, analyzes it, and queries the database.

[0660] 4. Obtain information on tourist attractions, relaxing restaurants, and transportation options for "Kyoto" from the database.

[0661] 5. The server analyzes the acquired information, organizes it by category, and adjusts it while taking sentiment data into consideration.

[0662] 6. The server sends information back to the terminal.

[0663] 7. The device displays information on the user interface, providing information optimized to the user's emotions.

[0664] 8. The user reviews the displayed information and creates a travel plan from a stress-reducing perspective.

[0665] This allows users to efficiently obtain useful information about the best travel destinations tailored to their emotional state and plan their trips accordingly.

[0666] The following describes the processing flow.

[0667] Step 1:

[0668] The user enters information about their travel destination into the device's interface and presses the send button, writing, "Please tell me your recommended spots in Kyoto."

[0669] Step 2:

[0670] The device retrieves user input and activates the emotion engine. The emotion engine analyzes the user's facial expressions and voice to evaluate their current emotional state.

[0671] Step 3:

[0672] The emotion engine identifies the user's emotional state based on the analysis results. For example, it determines whether the user is feeling stressed or relaxed.

[0673] Step 4:

[0674] The device converts the user's input and the sentiment engine's results into an appropriate format (e.g., JSON data) and sends it to the server. Specifically, it creates data such as "Please tell me your recommended spots in Kyoto" and "The user is currently feeling stressed."

[0675] Step 5:

[0676] The server receives an HTTP request sent from the terminal. The server analyzes the request content and sentiment data, and recognizes that the destination is "Kyoto" and the user's sentiment state is "stressed".

[0677] Step 6:

[0678] The server accesses the database based on the analysis results. The server executes SQL queries to retrieve information related to tourist attractions, relaxing restaurants, and transportation options in Kyoto.

[0679] Step 7:

[0680] The server analyzes raw data retrieved from the database. The retrieved data is classified into categories such as tourist destinations, restaurants, and transportation, and information that helps users relax based on their emotional state is selected.

[0681] Step 8:

[0682] The server organizes the analyzed and classified information for use by users. In addition to tourist attractions like Kiyomizu-dera Temple and Kinkaku-ji Temple, the server includes information on restaurants offering relaxation, such as Kani Doraku.

[0683] Step 9:

[0684] The server generates a response containing the organized information and sends it to the terminal. This is also sent as an HTTP response.

[0685] Step 10:

[0686] The terminal retrieves the HTTP response received from the server and analyzes the response data. The terminal then displays optimal information on the user interface, taking into account the user's emotional state.

[0687] Step 11:

[0688] The user checks the information displayed on their device. The user then plans their trip based on the displayed information about "Kyoto tourist spots" and "relaxing restaurants."

[0689] Through these steps, users can efficiently obtain information on the most suitable travel destinations based on their emotional state and generate travel plans.

[0690] (Example 2)

[0691] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0692] Conventional travel information systems lacked customization that took into account the user's current emotional state, resulting in a failure to provide the information users most needed. In particular, the lack of suggestions tailored to the user's emotional state during travel planning often led to user stress.

[0693] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0694] In this invention, the server includes means for the user to request travel destination information, means for the terminal to analyze the user's emotional state, means for the terminal to send a request including the analysis results to the server, means for the server to receive the request and retrieve information from a database based on the request, means for the server to analyze the retrieved information, customize it according to the user's emotional state, and compile it for provision to the user, means for the server to return the compiled information to the terminal, and means for the terminal to display the information received from the server and present it in a format that the user can confirm. This makes it possible to provide optimal travel information according to the user's emotional state.

[0695] A "user" refers to a person who is trying to obtain information about their travel destination.

[0696] A "terminal" refers to an electronic device used by a user to input information and display received information.

[0697] "Emotional state" refers to the psychological condition analyzed from the user's facial expressions, voice, and other data.

[0698] An "emotion engine" refers to software or hardware installed in a device that analyzes the user's facial expressions and voice to evaluate their emotional state.

[0699] A "request" refers to a message sent by a user to a server via their device, requesting specific information.

[0700] A "server" refers to a device or system that receives requests from a terminal, analyzes them, retrieves information from a database, and sends that information back to the terminal.

[0701] A "database" refers to a collection of data where information is organized and stored, which a server accesses to retrieve information.

[0702] "Customization" refers to optimizing and individually adjusting information according to the user's emotional state.

[0703] An "HTTP request" refers to a message format based on the Internet Protocol used to request information from a terminal to a server.

[0704] "JSON format" is a method for structuring and representing data in an exchangeable format, and it is an abbreviation for JavaScript Object Notation.

[0705] "User interface" refers to the screen and operating interface that a device uses to display information to the user.

[0706] "Information display" refers to displaying information received from a server on a terminal in a format that is easy for the user to understand.

[0707] "Travel planning" refers to the process of determining the details of a trip based on the information the user has gathered.

[0708] This invention is a system that allows users to efficiently acquire information about their travel destinations and further customizes that information according to the user's emotions using an emotion engine. The following steps and elements are included in implementing this system.

[0709] System-wide configuration

[0710] The system consists of a terminal used by the user, a server that receives and processes requests, a database that stores information, and an emotion engine.

[0711] User input

[0712] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[0713] Emotion recognition and request sending via devices

[0714] The device uses its built-in camera and microphone to input the user's facial expressions and voice into the emotion engine. The emotion engine analyzes this data and evaluates the user's emotional state. Specifically, it analyzes facial expressions and voice tone to determine emotions such as stress, exhilaration, and relaxation. Based on the results, it optimizes the content entered by the user. For example, if the user is feeling stressed, it prioritizes relaxing spots. The optimized request is converted into JSON format and sent to the server as an HTTP request.

[0715] Hardware used: Camera, microphone

[0716] Software used: Emotion recognition library (e.g., EmotionAPI), HTTP request library

[0717] Server request reception and analysis

[0718] The server analyzes the HTTP request received from the terminal. Along with the request content, user sentiment data is also analyzed. Based on this, the server generates appropriate queries for the database.

[0719] Hardware used: Server

[0720] Software to be used: HTTP server software (e.g., Apache, Nginx), parsing library (e.g., JSON parser)

[0721] Retrieving information from the database

[0722] The server sends a query to the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data form and is often returned in JSON format.

[0723] Hardware used: Database server

[0724] Software to use: Database management system (e.g., MySQL, PostgreSQL)

[0725] Server-based information analysis and organization

[0726] The server analyzes the acquired information and organizes it into an appropriate format for providing to the user. The information is categorized into areas such as tourist attractions, restaurants, and transportation. Furthermore, the information is customized according to the user's emotions. For example, if the emotion engine assesses that the user is feeling stressed, relaxing places and activities will be prioritized.

[0727] Hardware used: Server

[0728] Software to be used: Data analysis libraries (e.g., Pandas, NumPy)

[0729] Information transmission from server to terminal

[0730] The server returns the organized information to the terminal. This information is also sent as an HTTP response in JSON format. The server's role is to efficiently provide the information the user requests.

[0731] Hardware used: Server

[0732] Software used: HTTP server software, JSON library

[0733] Information display via terminal

[0734] The device retrieves information received from the server and displays it in the UI (User Interface). Based on the analysis results of the emotion engine, the displayed information is optimized for the user's emotions. Specifically, a user feeling stressed might be recommended a relaxing place like a cafe.

[0735] Hardware used: Smartphone, tablet

[0736] Software to use: UI libraries (e.g., React Native, Flutter)

[0737] User information verification and travel planning

[0738] Users review the information displayed on their devices and plan their trips. For example, if a user expresses interest in Kiyomizu-dera Temple and Kinkaku-ji Temple, information on relaxing cafes and activities will be provided along with information on these tourist destinations.

[0739] Specific examples and prompt statements

[0740] For example, consider a scenario where a user searches for "I want to travel to Kyoto. What are some recommended spots?" and the emotion engine recognizes the user's stress.

[0741] Example of a specific prompt: "Show me recommended tourist spots in Kyoto. The user is currently stressed, so prioritize providing relaxing places."

[0742] This allows users to efficiently obtain useful information about the best travel destinations tailored to their emotional state and plan their trips accordingly.

[0743] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0744] Step 1:

[0745] The user enters a request into the terminal interface, stating, "Please tell me some recommended spots in Kyoto." This request seeks information about a travel destination. The input data is in text format, and the request can include categories such as specific tourist attractions, restaurants, and transportation options.

[0746] Step 2:

[0747] The device uses its built-in camera and microphone to input the user's facial expressions and voice into the emotion engine. The emotion engine analyzes this data and evaluates the user's emotional state. The input data is in image or audio format, and the data is analyzed to determine emotions such as stress, exhilaration, and relaxation. Based on these results, the system optimizes the user's requests.

[0748] Specific actions:

[0749] Input: User facial expression data (image), audio data

[0750] Data processing: Image analysis, audio analysis

[0751] Output: Emotional state (e.g., stress)

[0752] Step 3:

[0753] The device converts an optimized request (for example, "Recommended relaxing spots in Kyoto" that take the user's stress level into JSON format) and sends it to the server as an HTTP request. The input data is the optimized request text, and the output data is an HTTP request in JSON format.

[0754] Specific actions:

[0755] Input: Optimized request text

[0756] Data processing: Conversion to JSON format

[0757] Output: HTTP request

[0758] Step 4:

[0759] The server analyzes HTTP requests received from terminals. Along with the request content, user sentiment data is also analyzed, and appropriate queries are generated in the database. The input data is the HTTP request, and the output data is the database query.

[0760] Specific actions:

[0761] Input: HTTP Request

[0762] Data analysis: Identifying the content of the request

[0763] Output: Database query

[0764] Step 5:

[0765] The server sends a query to the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. The input data is the database query, and the output data is raw data containing information about "Kyoto."

[0766] Specific actions:

[0767] Input: Database query

[0768] Data acquisition: Extraction of relevant information

[0769] Output: Raw data (tourist destinations, restaurants, etc.)

[0770] Step 6:

[0771] The server analyzes the acquired information and organizes it into an appropriate format for provision to the user. The information is categorized into areas such as tourist attractions, restaurants, and transportation, and customized based on sentiment data. Input data is raw data, while output data is organized information.

[0772] Specific actions:

[0773] Input: Raw data

[0774] Data Analysis and Classification: Organization by Category

[0775] Output: Organized information

[0776] Step 7:

[0777] The server returns the organized information to the terminal. This information is also sent as an HTTP response in JSON format. The input data is organized information, and the output data is the HTTP response.

[0778] Specific actions:

[0779] Input: Organized information

[0780] Data conversion: Conversion to JSON format

[0781] Output: HTTP response

[0782] Step 8:

[0783] The device retrieves information received from the server and displays it in the UI (User Interface). Based on the analysis results of the emotion engine, the displayed information is optimized for the user's emotions. The input data is the HTTP response, and the output data is the information displayed in the user interface.

[0784] Specific actions:

[0785] Input: HTTP response

[0786] Data display: Display on UI

[0787] Output: Information displayed in the user interface

[0788] (Application Example 2)

[0789] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0790] Traditional travel information systems failed to adequately enhance user satisfaction because they did not offer customization based on user emotions. Furthermore, the static nature of the information provided made it difficult to offer users real-time experiences or emotional responses, hindering the improvement of travel planning quality. This resulted in inefficient travel preparation and, consequently, lower overall travel satisfaction.

[0791] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for an emotion engine to analyze the user's current emotional state and customize the information displayed based on the analysis results, means for the user to wear a head-mounted display and experience a virtual tour of a travel destination, and means for analyzing the request entered by the user and identifying relevant travel information. This makes it possible to provide travel information and a virtual tour experience optimized according to the user's emotional state, thereby improving the user's satisfaction with both travel preparation and the trip itself.

[0792] A "user" is an individual or group that uses the system to obtain travel information.

[0793] "Destination information" refers to data such as tourist attractions, restaurants, transportation options, and activities related to a specific destination.

[0794] A "request" refers to a request that a user sends to a server through their device to obtain specific information.

[0795] A "terminal" is a device used by a user to input requests and display information, and includes smartphones, tablets, computers, and head-mounted displays.

[0796] A "server" is a central computer system that receives requests from users, retrieves and analyzes information from a database, and provides it to the user.

[0797] A "database" is a data storage system that holds information related to a travel destination and is accessible to a server.

[0798] An "emotion engine" is a software or hardware component that analyzes a user's facial expressions and voice to evaluate the user's current emotional state.

[0799] A "virtual tour" refers to a process where a user wears a head-mounted display and virtually experiences a travel destination using virtual reality technology.

[0800] "Customization" refers to adjusting information based on user requests and emotional states to make it individually suitable.

[0801] This invention is a system that allows users to efficiently obtain useful information about their travel destinations and customizes that information according to the user's emotions using an emotion engine. This system generates information based on user requests and provides that information through a virtual tour.

[0802] System-wide configuration

[0803] The system consists of a user terminal, a server that receives and processes requests, a database that stores information, and an emotion engine. It also includes a head-mounted display for users to experience virtual tours.

[0804] User input and request submission

[0805] Users request information about a specific travel destination (e.g., Kyoto) using a device such as a smartphone or tablet. The request is entered in natural language, such as "Please tell me some recommended spots in Kyoto," and their emotional state at the time is also recorded.

[0806] Analysis using an emotion engine

[0807] The device analyzes the user's voice and facial expressions using an emotion engine to assess the user's current emotions. For example, if the user is feeling stressed, that information will be included in the request.

[0808] Server receives and analyzes requests.

[0809] The server receives a request sent from the terminal. The request also includes the user's sentiment data. Next, the server analyzes the request content and sentiment data, and generates an appropriate database query based on that analysis.

[0810] Retrieving information from the database

[0811] The server accesses the database to retrieve information in response to the request. This includes information such as tourist attractions, restaurants, and transportation options in the travel destination.

[0812] Information analysis and organization

[0813] The server analyzes information retrieved from the database and organizes it in a customized way according to the user's emotions. For example, for a user experiencing stress, it prioritizes providing information on relaxing cafes and calm tourist spots.

[0814] Offering virtual tours

[0815] Users wear a head-mounted display to experience a virtual tour. Information transmitted from the server is displayed as a virtual tour, providing a real-time, emotionally responsive travel experience.

[0816] Specific example

[0817] If a user asks the head-mounted display, "What are some recommended spots in Kyoto to relieve stress?", the emotion engine analyzes the user's emotions and determines that they are seeking relaxation. The server generates an appropriate database query and retrieves information such as relaxing cafes and gardens. This information is displayed on the head-mounted display, allowing the user to virtually experience the destination through a virtual tour.

[0818] Example of a prompt

[0819] As a prompt, "Considering the user is seeking relaxation, please recommend some suitable spots in Kyoto to relieve stress."

[0820] This invention enables the provision of optimized travel information tailored to the user's emotional state, thereby increasing satisfaction with both travel preparation and the trip itself.

[0821] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0822] Step 1:

[0823] The user requests information about their travel destination using their device. Specifically, the user inputs a request such as "Please tell me some recommended spots in Kyoto" in natural language into the interface of their smartphone or tablet. This input becomes the initial data for processing.

[0824] Step 2:

[0825] The device receives a request and uses an emotion engine to analyze the user's facial expressions and voice. The emotion engine uses voice and facial recognition technology based on the user's input to evaluate the user's emotional state. The input at this time is the user's request and data on their facial expressions and voice, and the output is an evaluation result indicating the user's emotional state.

[0826] Step 3:

[0827] The device sends a request to the server containing the sentiment analysis results. The request data is converted to JSON format and sent as an HTTP request. The input is the sentiment analysis results and the request content, and the output is the request sent to the server.

[0828] Step 4:

[0829] The server analyzes the request received from the terminal. Based on the user's sentiment data and the request content, the server generates an appropriate database query. The input is the received request data, and the output is the generated database query.

[0830] Step 5:

[0831] The server retrieves information from the database in response to the request. The database contains information such as tourist attractions, restaurants, and transportation options. The input is a database query, and the output is the retrieved relevant information.

[0832] Step 6:

[0833] The server analyzes the acquired information and organizes it in a customized format according to the user's emotional state. The input is the acquired raw data, and the output is the organized and customized information.

[0834] Step 7:

[0835] The server returns the organized information to the terminal. The information is converted back into JSON format and sent to the terminal as an HTTP response. The input is organized information, and the output is the transmission of information to the terminal.

[0836] Step 8:

[0837] The device retrieves information received from the server and displays it to the user through a head-mounted display. The information is displayed in a format that allows the user to experience a virtual tour. The input is the received customized information, and the output is the virtual tour displayed in the user's field of view.

[0838] Step 9:

[0839] Users experience a virtual tour of their travel destination while wearing a head-mounted display. Because the information provided is optimized for the user's emotions, stress reduction and relaxation effects can be expected. The input is the virtual tour displayed in the user's field of vision, and the output is an improvement in the user's satisfaction with their travel experience.

[0840] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0841] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0842] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0843] [Third Embodiment]

[0844] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0845] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0846] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0847] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0848] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0849] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0850] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0851] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0852] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0853] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0854] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0855] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0856] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations. The implementation of this system includes the following steps and elements.

[0857] System-wide configuration

[0858] The system consists of a terminal used by the user, a server that receives and processes requests, and a database that stores information.

[0859] 1. User input

[0860] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[0861] 2. Sending requests via the terminal

[0862] The terminal retrieves user input, converts it to an appropriate format (e.g., JSON), and sends it to the server. This is done as an HTTP request. The terminal's role is to accurately convey the user's request to the server.

[0863] 3. Receiving and parsing server requests

[0864] The server receives requests sent from the terminal and parses the information about the requested travel destination. In this step, it analyzes the user's input and generates appropriate database queries.

[0865] 4. Retrieving information from the database

[0866] Based on the analysis results, the server accesses the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data format.

[0867] 5. Analysis and organization of information by the server

[0868] The server analyzes the information retrieved from the database and organizes it into an appropriate format for provision to users. Specifically, it classifies data by category, such as tourist destinations, restaurants, and transportation methods, and organizes it while considering the accuracy and evaluation of the information.

[0869] 6. Sending information from the server to the terminal

[0870] The server returns the organized information to the terminal. This is also done as an HTTP response. The server's role is to provide the user with the information they need in an organized and effective manner.

[0871] 7. Information display via terminal

[0872] The terminal retrieves information received from the server and displays it in a user-friendly format. This includes lists of popular tourist spots, recommendations for local restaurants, and transportation information.

[0873] 8. User information verification and travel planning

[0874] Users check the information displayed on their devices and use it to plan their trip. For example, they might plan to visit tourist spots like Kiyomizu-dera Temple or Kinkaku-ji Temple, or consider dining at Kani Doraku.

[0875] As a concrete example, if a user searches for "I want to travel to Kyoto. What are some recommended spots?",

[0876] 1. The user enters a request into the terminal interface.

[0877] 2. The device sends a request to the server.

[0878] 3. The server receives the request, parses it, and sends a query to the database.

[0879] 4. Obtain information on tourist attractions, restaurants, and transportation options for "Kyoto" from the database.

[0880] 5. The server analyzes the acquired information and organizes it by category.

[0881] 6. The server returns the organized information to the terminal.

[0882] 7. The device displays information on the user interface.

[0883] 8. The user reviews the displayed information and plans their trip.

[0884] This allows users to save time and effort and efficiently obtain useful information about their travel destinations.

[0885] The following describes the processing flow.

[0886] Step 1:

[0887] The user enters destination information into the terminal's interface and presses the send button. For example, they might enter, "Please tell me some recommended spots in Kyoto."

[0888] Step 2:

[0889] The terminal retrieves the user's input and converts it into an appropriate format (e.g., JSON data). It then sends an HTTP request containing the converted data to the server.

[0890] Step 3:

[0891] The server receives an HTTP request sent from the terminal. The server analyzes the request and recognizes that the destination is "Kyoto".

[0892] Step 4:

[0893] Based on the analysis results, the server accesses the database to retrieve the necessary information. Specifically, it executes SQL queries to search for data related to tourist attractions, restaurants, and transportation options in Kyoto.

[0894] Step 5:

[0895] The server analyzes the raw data retrieved from the database. The retrieved data is then categorized into categories such as tourist destinations, restaurants, and transportation, and useful information for the user is selected.

[0896] Step 6:

[0897] The server compiles the analyzed and classified information and generates response data to provide to the user. It then sends the HTTP response containing the generated data to the terminal.

[0898] Step 7:

[0899] The terminal retrieves the HTTP response received from the server and analyzes the response data. Based on the analysis results, the information is displayed in a user-friendly format on the user interface.

[0900] Step 8:

[0901] The user checks the information displayed on their device. This information includes, for example, tourist attractions such as "Kiyomizu-dera Temple" and "Kinkaku-ji Temple," restaurants such as "Kani Doraku," and transportation options.

[0902] By following these steps, users can efficiently obtain useful information about their travel destination and plan their trip.

[0903] (Example 1)

[0904] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0905] In modern society, many users gather travel information via the internet, but this requires checking numerous different sources, which is time-consuming and laborious. Furthermore, the reliability and accuracy of this information vary, making it difficult to obtain accurate data. Therefore, there is a need for a system that allows users to efficiently gather useful travel information and smoothly plan their trips based on that information.

[0906] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0907] In this invention, the server includes means for a user to request information about a travel destination, means for a terminal to send a request to the server, means for the server to receive the request and retrieve information from a database based on the request, means for the server to analyze the retrieved information and organize it into categories for provision to the user, means for the server to return the organized information to the terminal, means for the terminal to display the information received from the server on a user interface and present it in a format that the user can confirm, and means for the user to create a travel plan based on the information displayed on the terminal. This makes it possible for the user to efficiently obtain useful information about a travel destination and easily create a travel plan.

[0908] A "user" refers to an individual who uses this system to obtain information about their travel destination and plan their trip.

[0909] A "terminal" refers to an electronic device used by a user that receives requests, sends them to a server, and displays information from the server. Specific examples include smartphones and personal computers.

[0910] A "request" is an information request entered by a user using their device, and may include requests for detailed information about a specific travel destination or category.

[0911] A "server" refers to a central processing unit that receives requests from terminals, retrieves information from a database based on those requests, and then analyzes and organizes that information.

[0912] A "database" refers to an information repository that a server accesses to retrieve travel destination-related information. Specifically, it stores data such as tourist attractions, restaurants, and transportation options.

[0913] "Means of obtaining information" refers to query operations and information requests that a server executes against a database.

[0914] "Methods for analyzing information and organizing it by category" refers to the process by which a server analyzes information obtained from a database and classifies and organizes it into categories such as tourist destinations, restaurants, and modes of transportation.

[0915] "Means of displaying information on a user interface" refers to the process by which a terminal displays information received from a server in an easily understandable way for the user using an HTML template engine or similar.

[0916] "Methods for planning a trip" refers to a series of actions in which a user decides on places to visit, places to eat, means of transportation, etc., based on travel information displayed on their device.

[0917] This invention is a system that enables users to efficiently obtain useful information about their travel destinations and smoothly plan their trips. The system consists of a terminal used by the user, a server that receives and processes requests, and a database that stores the information.

[0918] Hardware and software configuration

[0919] Device: An electronic device used by a user, including smartphones and personal computers. This includes devices on which web browsers and mobile apps run.

[0920] Server: Includes a processor that receives requests, executes database queries, parses the results, and sends them. Specifically, it is implemented using Node.js or Python, and utilizes web frameworks such as Express.js or Django.

[0921] Database: A repository for storing travel destination information, using relational database systems such as MySQL or PostgreSQL.

[0922] Program processing

[0923] The server first parses the request received from the terminal and generates a corresponding database query. Next, it executes that query against the database and receives the resulting information. The server then analyzes this information and organizes it into categories (tourist attractions, restaurants, transportation, etc.) for the user to use. The organized information is then sent back to the terminal, which displays it in a user-friendly format.

[0924] Specifically, the server connects to a MySQL database using the Node.js mysql library and retrieves information. The retrieved information is parsed and organized using JavaScript array manipulation and the lodash library. The organized information is converted to JSON format and sent to the terminal as an HTTP response. The terminal retrieves the JSON data received from the server using the JavaScript fetch API and displays the information using an HTML templating engine (e.g., Handlebars.js or React.js).

[0925] Specific example

[0926] The following is a specific action that would occur if a user entered "I want to travel to Kyoto. What are some recommended spots?".

[0927] 1. The user enters "Please tell me some recommended spots in Kyoto" into the terminal's interface.

[0928] 2. The terminal converts this input to JSON format and sends it to the server using the JavaScript fetch API.

[0929] 3. The server parses the received request and generates a database query using Node.js and Express.js.

[0930] 4. The server executes SQL queries against the MySQL database to retrieve the necessary information.

[0931] 5. The server analyzes and organizes the acquired data by category using JavaScript and the lodash library.

[0932] 6. Convert the organized information into JSON format and send it to the terminal as an HTTP response.

[0933] 7. The terminal displays the received information in the user interface using an HTML template engine.

[0934] 8. The user plans their trip based on the displayed information.

[0935] Example of a prompt

[0936] "Could you recommend some sightseeing spots in Kyoto?"

[0937] "I'd like to know about popular restaurants in Kyoto."

[0938] "Please tell me some must-see spots in Kyoto."

[0939] This system allows users to efficiently obtain useful information about their travel destinations and easily plan their trips.

[0940] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0941] Step 1:

[0942] The user requests information about their travel destination. Specifically, the user enters "Please tell me about recommended spots in Kyoto" into the terminal's interface. This input is transmitted to the terminal and treated as request information.

[0943] Input: User request (e.g., "Please recommend some good spots in Kyoto")

[0944] Output: Request data

[0945] Step 2:

[0946] The terminal receives the user's request and converts it to JSON format. After conversion, this JSON data is sent to the server as an HTTP POST request. Specifically, the request is sent using the JavaScript fetch API.

[0947] Input: Request data

[0948] Output: Request data in JSON format

[0949] Step 3:

[0950] The server receives requests sent from the terminal. Specifically, it uses Node.js and Express.js to receive requests. Next, it parses this request data and generates appropriate database queries. These queries are created based on the travel destination and category requested by the user.

[0951] Input: Request data in JSON format

[0952] Output: Database query

[0953] Step 4:

[0954] The server uses the generated query to request information from a database (e.g., MySQL or PostgreSQL). Specifically, it uses the Node.js mysql library to execute SQL queries and retrieve data such as tourist attractions, restaurants, and transportation options related to "Kyoto".

[0955] Input: Database query

[0956] Output: Raw data (tourist destinations, restaurants, transportation, etc.)

[0957] Step 5:

[0958] The server analyzes the raw data retrieved from the database and organizes it by category (tourist destinations, restaurants, transportation, etc.). This is done using JavaScript array manipulation and libraries such as lodash. The data is organized accurately, taking into account the accuracy and value of the information.

[0959] Input: Raw data

[0960] Output: Data organized by category

[0961] Step 6:

[0962] The server converts the organized data into JSON format and sends it to the terminal as an HTTP response. Specifically, this is done using Node.js's res.json (parsedData).

[0963] Input: Data organized by category

[0964] Output: Organized data in JSON format

[0965] Step 7:

[0966] The terminal retrieves JSON data received from the server and displays it in the user interface. Specifically, it uses an HTML templating engine (e.g., Handlebars.js or React.js) to display the information. Here, a list of tourist spots, restaurant recommendations, and transportation information may be displayed on the screen.

[0967] Input: Organized data in JSON format

[0968] Output: Information displayed in the user interface

[0969] Step 8:

[0970] Users check the information displayed on their devices and plan their trip. Specifically, they might plan visits to places like Kiyomizu-dera Temple or Kinkaku-ji Temple, or consider dining at a Kani Doraku restaurant.

[0971] Input: Information displayed in the user interface

[0972] Output: Travel plan

[0973] As described above, users can efficiently obtain useful information about their travel destinations and easily plan their trips.

[0974] (Application Example 1)

[0975] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0976] Traditional travel information systems had limitations in allowing users to efficiently obtain information about their travel destinations. Furthermore, the lack of real-time information on nearby physical stores made it difficult for users to obtain immediately useful information on-site. This resulted in reduced accuracy in travel planning and lower satisfaction levels.

[0977] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0978] In this invention, the server includes means for providing real-time information on nearby physical stores based on location information requested by the user, means for the user to request information on their travel destination, and means for the terminal to send the request to the server. This makes it possible for the user to efficiently obtain useful information in real time while at their location.

[0979] "A means for users to request information about their travel destination" refers to an interface that allows users to input specific information about their travel destination and send a request to the system.

[0980] "Means by which a terminal sends a request to a server" refers to the means of communication used to convert a request entered by the user into an appropriate data format and send it to the server.

[0981] "Means by which a server receives a request and retrieves information from a database based on that request" refers to the process of analyzing a request sent from a terminal, querying the database based on that request, and retrieving the necessary information.

[0982] "The means by which a server analyzes acquired information and compiles it for provision to the user" refers to the process of analyzing raw data obtained from a database and organizing and processing it into a format useful to the user.

[0983] "Means of sending information compiled by the server back to the terminal" refers to a communication method for converting the analyzed and organized information into an appropriate data format and sending it back to the terminal.

[0984] "A means by which a terminal displays information received from a server and presents it in a format that the user can verify" refers to an interface that displays information received from a server in a visually easy-to-understand format, making it easy for the user to verify.

[0985] "A means of providing real-time information on nearby physical stores based on location information requested by the user" refers to the process of searching for, retrieving, and providing real-time information on nearby physical stores based on the user's current location.

[0986] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations. This system mainly consists of a user terminal, a server, and a database.

[0987] User operation steps

[0988] Users use smartphones or other devices to input text or touch information into the interface as a means of requesting information about their travel destination. For example, they might type, "Please tell me about recommended spots in Kyoto." Users can also select specific categories, such as tourist attractions, restaurants, or transportation.

[0989] Data transmission and reception

[0990] The terminal retrieves the user's input and converts it into an appropriate data format, such as JSON. Then, it uses an HTTP request to send the data to the server, which is the means by which the terminal sends a request to the server. For example, if the request is for "a cafe in Kyoto," that information will be sent to the server.

[0991] Server Processing

[0992] The server uses a means of receiving requests and retrieving information from the database based on those requests to obtain appropriate information from the database. In this process, location information is also analyzed to obtain information about nearby physical stores based on the user's current location. Based on the request content, an appropriate database query is generated to retrieve the necessary information.

[0993] The acquired information is processed and organized using a method that "analyzes the information acquired by the server and compiles it for provision to the user." Specifically, raw data is classified by category, and important information is prioritized and organized, taking into account ratings and user reviews.

[0994] Data provision

[0995] The server converts the organized information into a format such as JSON and sends it back to the terminal as an HTTP response using a "means for the server to return the compiled information to the terminal." For example, this could include information about cafes in Kyoto, such as ratings, reviews, and transportation options.

[0996] Displaying information

[0997] The device will display received information in a visually easy-to-understand interface, serving as a means of presenting it in a format that the user can verify. This will include displays such as lists of tourist spots, maps, and details about transportation options.

[0998] Specific example

[0999] For example, if a user searches for "cafes near Kyoto," the server retrieves relevant cafe information from its database, compiles ratings and reviews, and sends them to the user's device. The user can then use this information to choose a cafe they want to visit. This system allows users to obtain useful information in real time and efficiently plan their trips.

[1000] Example of a prompt

[1001] "You are a developer of a travel guide app. Please show me how to implement an application that allows users to obtain real-time, up-to-date information on tourist attractions, restaurants, and transportation in a specific travel destination. Please also provide specific program code examples. The travel destination is 'Kyoto,' and the categories are 'Tourist Attractions,' 'Restaurants,' and 'Transportation.'"

[1002] This invention enables users to efficiently obtain useful information in real time while on location, thereby enhancing their travel enjoyment. This allows them to quickly grasp information about their travel destination and take appropriate action.

[1003] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1004] Step 1:

[1005] A way for users to request information about their travel destination

[1006] The user enters the destination and category (e.g., tourist attraction, restaurant, etc.) into the terminal's interface.

[1007] Input: Travel destination and category (e.g., cafes in Kyoto)

[1008] Output: Input request data

[1009] Specific operation: The user enters text indicating the place they want to go and the information they want to know (e.g., tourist spots in Kyoto, cafes).

[1010] Step 2:

[1011] The means by which a terminal sends a request to a server

[1012] The terminal receives user input, converts it to an appropriate data format (e.g., JSON), and sends it to the server via an HTTP request.

[1013] Input: User request data

[1014] Output: HTTP request sent to the server

[1015] Specific action: The device creates JSON data containing "cafes in Kyoto" and sends it to the server as an HTTP request.

[1016] Step 3:

[1017] A server receives a request and retrieves information from a database based on that request.

[1018] The server parses the request, generates a database query, and retrieves the relevant information.

[1019] Input: Request data included in the HTTP request

[1020] Output: Acquired data (e.g., information on cafes in Kyoto)

[1021] Specific operation: The server receives an HTTP request, parses the request data to generate database queries related to "cafes in Kyoto," and then sends those queries to the database.

[1022] Step 4:

[1023] A means of analyzing information acquired by a server and compiling it for provision to the user.

[1024] The server organizes the information retrieved from the database into categories, extracts important information, and summarizes it.

[1025] Input: Raw data retrieved from the database

[1026] Output: Organized information (e.g., a list of cafes in Kyoto and their reviews)

[1027] Specific operation: The server analyzes Kyoto cafe information retrieved from the database and creates organized data including ratings and user reviews.

[1028] Step 5:

[1029] A method for the server to send compiled information back to the terminal.

[1030] The server converts the organized information into an appropriate data format (e.g., JSON) and sends it to the terminal as an HTTP response.

[1031] Input: Organized information data

[1032] Output: HTTP response sent to the terminal

[1033] Specific operation: The server converts the organized Kyoto cafe information into JSON format and sends it to the terminal as an HTTP response.

[1034] Step 6:

[1035] A method for displaying information received by a terminal from a server and presenting it in a format that the user can verify.

[1036] The terminal receives the HTTP response and displays it in a visually easy-to-understand format on the user interface.

[1037] Input: HTTP response received from the server

[1038] Output: Information displayed in the user interface

[1039] Specific operation: The terminal analyzes the Kyoto cafe information received from the server and displays it in a list format or on a map.

[1040] Step 7:

[1041] A method for providing real-time information on nearby physical stores based on location information requested by the user.

[1042] The server searches for and provides real-time information on physical stores near the user's current location, based on the user's location data.

[1043] Input: User's current location information

[1044] Output: Information on physical stores near your current location.

[1045] Specific operation: The server analyzes the user's current location, retrieves real-time information about nearby cafes and restaurants from a database, and sends it to the terminal.

[1046] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1047] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations and further customizes that information according to the user's emotions using an emotion engine. The following steps and elements are included in implementing this system.

[1048] System-wide configuration

[1049] The system consists of a terminal used by the user, a server that receives and processes requests, a database that stores information, and an emotion engine.

[1050] 1. User input

[1051] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[1052] 2. Emotion recognition and request transmission by the device.

[1053] The emotion engine analyzes the user's facial expressions and voice to evaluate their current emotional state. Based on the results, it adapts the user's input. The device sends a request containing the analysis results to the server. This request is converted into an appropriate format (e.g., JSON data) and sent as an HTTP request.

[1054] 3. Receiving and parsing server requests

[1055] The server receives HTTP requests sent from the terminal and parses the requested travel destination information. This step also considers the user's sentiment data. The server analyzes the request content and sentiment data to generate appropriate database queries.

[1056] 4. Retrieving information from the database

[1057] Based on the analysis results, the server accesses the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data format.

[1058] 5. Analysis and organization of information by the server

[1059] The server analyzes the information retrieved from the database and organizes it into an appropriate format for providing to the user. Specifically, it classifies data by categories such as tourist destinations, restaurants, and transportation, and customizes the information according to the user's sentiment.

[1060] 6. Sending information from the server to the terminal

[1061] The server returns the organized information to the terminal. This is also done as an HTTP response. The server's role is to provide the user with the information they need in an organized and effective manner.

[1062] 7. Information display via terminal

[1063] The device retrieves information received from the server and displays it in a user-friendly format. Based on the analysis results of the emotion engine, the displayed information is optimized to the user's emotions.

[1064] 8. User information verification and travel planning

[1065] Users review the information displayed on their device and use it to plan their trip. For example, if a user has shown interest in "Kiyomizu-dera Temple" or "Kinkaku-ji Temple," these tourist destinations will be recommended. Additionally, information such as "relaxing cafes" or "adventure-style activities" will be added depending on the user's emotional state.

[1066] As a concrete example, if a user searches for "I want to travel to Kyoto. What are some recommended spots?", and the emotion engine recognizes that the user is feeling stressed,

[1067] 1. The user enters a request into the device interface, and the emotion engine analyzes the emotion.

[1068] 2. The device sends a request to the server.

[1069] 3. The server receives the request and sentiment data, analyzes it, and queries the database.

[1070] 4. Obtain information on tourist attractions, relaxing restaurants, and transportation options for "Kyoto" from the database.

[1071] 5. The server analyzes the acquired information, organizes it by category, and adjusts it while taking sentiment data into consideration.

[1072] 6. The server sends information back to the terminal.

[1073] 7. The device displays information on the user interface, providing information optimized to the user's emotions.

[1074] 8. The user reviews the displayed information and creates a travel plan from a stress-reducing perspective.

[1075] This allows users to efficiently obtain useful information about the best travel destinations tailored to their emotional state and plan their trips accordingly.

[1076] The following describes the processing flow.

[1077] Step 1:

[1078] The user enters information about their travel destination into the device's interface and presses the send button, writing, "Please tell me your recommended spots in Kyoto."

[1079] Step 2:

[1080] The device retrieves user input and activates the emotion engine. The emotion engine analyzes the user's facial expressions and voice to evaluate their current emotional state.

[1081] Step 3:

[1082] The emotion engine identifies the user's emotional state based on the analysis results. For example, it determines whether the user is feeling stressed or relaxed.

[1083] Step 4:

[1084] The device converts the user's input and the sentiment engine's results into an appropriate format (e.g., JSON data) and sends it to the server. Specifically, it creates data such as "Please tell me your recommended spots in Kyoto" and "The user is currently feeling stressed."

[1085] Step 5:

[1086] The server receives an HTTP request sent from the terminal. The server analyzes the request content and sentiment data, and recognizes that the destination is "Kyoto" and the user's sentiment state is "stressed".

[1087] Step 6:

[1088] The server accesses the database based on the analysis results. The server executes SQL queries to retrieve information related to tourist attractions, relaxing restaurants, and transportation options in Kyoto.

[1089] Step 7:

[1090] The server analyzes raw data retrieved from the database. The retrieved data is classified into categories such as tourist destinations, restaurants, and transportation, and information that helps users relax based on their emotional state is selected.

[1091] Step 8:

[1092] The server organizes the analyzed and classified information for use by users. In addition to tourist attractions like Kiyomizu-dera Temple and Kinkaku-ji Temple, the server includes information on restaurants offering relaxation, such as Kani Doraku.

[1093] Step 9:

[1094] The server generates a response containing the organized information and sends it to the terminal. This is also sent as an HTTP response.

[1095] Step 10:

[1096] The terminal retrieves the HTTP response received from the server and analyzes the response data. The terminal then displays optimal information on the user interface, taking into account the user's emotional state.

[1097] Step 11:

[1098] The user checks the information displayed on their device. The user then plans their trip based on the displayed information about "Kyoto tourist spots" and "relaxing restaurants."

[1099] Through these steps, users can efficiently obtain information on the most suitable travel destinations based on their emotional state and generate travel plans.

[1100] (Example 2)

[1101] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1102] Conventional travel information systems lacked customization that took into account the user's current emotional state, resulting in a failure to provide the information users most needed. In particular, the lack of suggestions tailored to the user's emotional state during travel planning often led to user stress.

[1103] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1104] In this invention, the server includes means for the user to request travel destination information, means for the terminal to analyze the user's emotional state, means for the terminal to send a request including the analysis results to the server, means for the server to receive the request and retrieve information from a database based on the request, means for the server to analyze the retrieved information, customize it according to the user's emotional state, and compile it for provision to the user, means for the server to return the compiled information to the terminal, and means for the terminal to display the information received from the server and present it in a format that the user can confirm. This makes it possible to provide optimal travel information according to the user's emotional state.

[1105] A "user" refers to a person who is trying to obtain information about their travel destination.

[1106] A "terminal" refers to an electronic device used by a user to input information and display received information.

[1107] "Emotional state" refers to the psychological condition analyzed from the user's facial expressions, voice, and other data.

[1108] An "emotion engine" refers to software or hardware installed in a device that analyzes the user's facial expressions and voice to evaluate their emotional state.

[1109] A "request" refers to a message sent by a user to a server via their device, requesting specific information.

[1110] A "server" refers to a device or system that receives requests from a terminal, analyzes them, retrieves information from a database, and sends that information back to the terminal.

[1111] A "database" refers to a collection of data where information is organized and stored, which a server accesses to retrieve information.

[1112] "Customization" refers to optimizing and individually adjusting information according to the user's emotional state.

[1113] An "HTTP request" refers to a message format based on the Internet Protocol used to request information from a terminal to a server.

[1114] "JSON format" is a method for structuring and representing data in an exchangeable format, and it is an abbreviation for JavaScript Object Notation.

[1115] "User interface" refers to the screen and operating interface that a device uses to display information to the user.

[1116] "Information display" refers to displaying information received from a server on a terminal in a format that is easy for the user to understand.

[1117] "Travel planning" refers to the process of determining the details of a trip based on the information the user has gathered.

[1118] This invention is a system that allows users to efficiently acquire information about their travel destinations and further customizes that information according to the user's emotions using an emotion engine. The following steps and elements are included in implementing this system.

[1119] System-wide configuration

[1120] The system consists of a terminal used by the user, a server that receives and processes requests, a database that stores information, and an emotion engine.

[1121] User input

[1122] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[1123] Emotion recognition and request sending via devices

[1124] The device uses its built-in camera and microphone to input the user's facial expressions and voice into the emotion engine. The emotion engine analyzes this data and evaluates the user's emotional state. Specifically, it analyzes facial expressions and voice tone to determine emotions such as stress, exhilaration, and relaxation. Based on the results, it optimizes the content entered by the user. For example, if the user is feeling stressed, it prioritizes relaxing spots. The optimized request is converted into JSON format and sent to the server as an HTTP request.

[1125] Hardware used: Camera, microphone

[1126] Software used: Emotion recognition library (e.g., EmotionAPI), HTTP request library

[1127] Server request reception and analysis

[1128] The server analyzes the HTTP request received from the terminal. Along with the request content, user sentiment data is also analyzed. Based on this, the server generates appropriate queries for the database.

[1129] Hardware used: Server

[1130] Software to be used: HTTP server software (e.g., Apache, Nginx), parsing library (e.g., JSON parser)

[1131] Retrieving information from the database

[1132] The server sends a query to the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data form and is often returned in JSON format.

[1133] Hardware used: Database server

[1134] Software to use: Database management system (e.g., MySQL, PostgreSQL)

[1135] Server-based information analysis and organization

[1136] The server analyzes the acquired information and organizes it into an appropriate format for providing to the user. The information is categorized into areas such as tourist attractions, restaurants, and transportation. Furthermore, the information is customized according to the user's emotions. For example, if the emotion engine assesses that the user is feeling stressed, relaxing places and activities will be prioritized.

[1137] Hardware used: Server

[1138] Software to be used: Data analysis libraries (e.g., Pandas, NumPy)

[1139] Information transmission from server to terminal

[1140] The server returns the organized information to the terminal. This information is also sent as an HTTP response in JSON format. The server's role is to efficiently provide the information the user requests.

[1141] Hardware used: Server

[1142] Software used: HTTP server software, JSON library

[1143] Information display via terminal

[1144] The device retrieves information received from the server and displays it in the UI (User Interface). Based on the analysis results of the emotion engine, the displayed information is optimized for the user's emotions. Specifically, a user feeling stressed might be recommended a relaxing place like a cafe.

[1145] Hardware used: Smartphone, tablet

[1146] Software to use: UI libraries (e.g., React Native, Flutter)

[1147] User information verification and travel planning

[1148] Users review the information displayed on their devices and plan their trips. For example, if a user expresses interest in Kiyomizu-dera Temple and Kinkaku-ji Temple, information on relaxing cafes and activities will be provided along with information on these tourist destinations.

[1149] Specific examples and prompt statements

[1150] For example, consider a scenario where a user searches for "I want to travel to Kyoto. What are some recommended spots?" and the emotion engine recognizes the user's stress.

[1151] Example of a specific prompt: "Show me recommended tourist spots in Kyoto. The user is currently stressed, so prioritize providing relaxing places."

[1152] This allows users to efficiently obtain useful information about the best travel destinations tailored to their emotional state and plan their trips accordingly.

[1153] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1154] Step 1:

[1155] The user enters a request into the terminal interface, stating, "Please tell me some recommended spots in Kyoto." This request seeks information about a travel destination. The input data is in text format, and the request can include categories such as specific tourist attractions, restaurants, and transportation options.

[1156] Step 2:

[1157] The device uses its built-in camera and microphone to input the user's facial expressions and voice into the emotion engine. The emotion engine analyzes this data and evaluates the user's emotional state. The input data is in image or audio format, and the data is analyzed to determine emotions such as stress, exhilaration, and relaxation. Based on these results, the system optimizes the user's requests.

[1158] Specific actions:

[1159] Input: User facial expression data (image), audio data

[1160] Data processing: Image analysis, audio analysis

[1161] Output: Emotional state (e.g., stress)

[1162] Step 3:

[1163] The device converts an optimized request (for example, "Recommended relaxing spots in Kyoto" that take the user's stress level into JSON format) and sends it to the server as an HTTP request. The input data is the optimized request text, and the output data is an HTTP request in JSON format.

[1164] Specific actions:

[1165] Input: Optimized request text

[1166] Data processing: Conversion to JSON format

[1167] Output: HTTP request

[1168] Step 4:

[1169] The server analyzes HTTP requests received from terminals. Along with the request content, user sentiment data is also analyzed, and appropriate queries are generated in the database. The input data is the HTTP request, and the output data is the database query.

[1170] Specific actions:

[1171] Input: HTTP Request

[1172] Data analysis: Identifying the content of the request

[1173] Output: Database query

[1174] Step 5:

[1175] The server sends a query to the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. The input data is the database query, and the output data is raw data containing information about "Kyoto."

[1176] Specific actions:

[1177] Input: Database query

[1178] Data acquisition: Extraction of relevant information

[1179] Output: Raw data (tourist destinations, restaurants, etc.)

[1180] Step 6:

[1181] The server analyzes the acquired information and organizes it into an appropriate format for provision to the user. The information is categorized into areas such as tourist attractions, restaurants, and transportation, and customized based on sentiment data. Input data is raw data, while output data is organized information.

[1182] Specific actions:

[1183] Input: Raw data

[1184] Data Analysis and Classification: Organization by Category

[1185] Output: Organized information

[1186] Step 7:

[1187] The server returns the organized information to the terminal. This information is also sent as an HTTP response in JSON format. The input data is organized information, and the output data is the HTTP response.

[1188] Specific actions:

[1189] Input: Organized information

[1190] Data conversion: Conversion to JSON format

[1191] Output: HTTP response

[1192] Step 8:

[1193] The device retrieves information received from the server and displays it in the UI (User Interface). Based on the analysis results of the emotion engine, the displayed information is optimized for the user's emotions. The input data is the HTTP response, and the output data is the information displayed in the user interface.

[1194] Specific actions:

[1195] Input: HTTP response

[1196] Data display: Display on UI

[1197] Output: Information displayed in the user interface

[1198] (Application Example 2)

[1199] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1200] Traditional travel information systems failed to adequately enhance user satisfaction because they did not offer customization based on user emotions. Furthermore, the static nature of the information provided made it difficult to offer users real-time experiences or emotional responses, hindering the improvement of travel planning quality. This resulted in inefficient travel preparation and, consequently, lower overall travel satisfaction.

[1201] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for an emotion engine to analyze the user's current emotional state and customize the information displayed based on the analysis results, means for the user to wear a head-mounted display and experience a virtual tour of a travel destination, and means for analyzing the request entered by the user and identifying relevant travel information. This makes it possible to provide travel information and a virtual tour experience optimized according to the user's emotional state, thereby improving the user's satisfaction with both travel preparation and the trip itself.

[1202] A "user" is an individual or group that uses the system to obtain travel information.

[1203] "Destination information" refers to data such as tourist attractions, restaurants, transportation options, and activities related to a specific destination.

[1204] A "request" refers to a request that a user sends to a server through their device to obtain specific information.

[1205] A "terminal" is a device used by a user to input requests and display information, and includes smartphones, tablets, computers, and head-mounted displays.

[1206] A "server" is a central computer system that receives requests from users, retrieves and analyzes information from a database, and provides it to the user.

[1207] A "database" is a data storage system that holds information related to a travel destination and is accessible to a server.

[1208] An "emotion engine" is a software or hardware component that analyzes a user's facial expressions and voice to evaluate the user's current emotional state.

[1209] A "virtual tour" refers to a process where a user wears a head-mounted display and virtually experiences a travel destination using virtual reality technology.

[1210] "Customization" refers to adjusting information based on user requests and emotional states to make it individually suitable.

[1211] This invention is a system that allows users to efficiently obtain useful information about their travel destinations and customizes that information according to the user's emotions using an emotion engine. This system generates information based on user requests and provides that information through a virtual tour.

[1212] System-wide configuration

[1213] The system consists of a user terminal, a server that receives and processes requests, a database that stores information, and an emotion engine. It also includes a head-mounted display for users to experience virtual tours.

[1214] User input and request submission

[1215] Users request information about a specific travel destination (e.g., Kyoto) using a device such as a smartphone or tablet. The request is entered in natural language, such as "Please tell me some recommended spots in Kyoto," and their emotional state at the time is also recorded.

[1216] Analysis using an emotion engine

[1217] The device analyzes the user's voice and facial expressions using an emotion engine to assess the user's current emotions. For example, if the user is feeling stressed, that information will be included in the request.

[1218] Server receives and analyzes requests.

[1219] The server receives a request sent from the terminal. The request also includes the user's sentiment data. Next, the server analyzes the request content and sentiment data, and generates an appropriate database query based on that analysis.

[1220] Retrieving information from the database

[1221] The server accesses the database to retrieve information in response to the request. This includes information such as tourist attractions, restaurants, and transportation options in the travel destination.

[1222] Information analysis and organization

[1223] The server analyzes information retrieved from the database and organizes it in a customized way according to the user's emotions. For example, for a user experiencing stress, it prioritizes providing information on relaxing cafes and calm tourist spots.

[1224] Offering virtual tours

[1225] Users wear a head-mounted display to experience a virtual tour. Information transmitted from the server is displayed as a virtual tour, providing a real-time, emotionally responsive travel experience.

[1226] Specific example

[1227] If a user asks the head-mounted display, "What are some recommended spots in Kyoto to relieve stress?", the emotion engine analyzes the user's emotions and determines that they are seeking relaxation. The server generates an appropriate database query and retrieves information such as relaxing cafes and gardens. This information is displayed on the head-mounted display, allowing the user to virtually experience the destination through a virtual tour.

[1228] Example of a prompt

[1229] As a prompt, "Considering the user is seeking relaxation, please recommend some suitable spots in Kyoto to relieve stress."

[1230] This invention enables the provision of optimized travel information tailored to the user's emotional state, thereby increasing satisfaction with both travel preparation and the trip itself.

[1231] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1232] Step 1:

[1233] The user requests information about their travel destination using their device. Specifically, the user inputs a request such as "Please tell me some recommended spots in Kyoto" in natural language into the interface of their smartphone or tablet. This input becomes the initial data for processing.

[1234] Step 2:

[1235] The device receives a request and uses an emotion engine to analyze the user's facial expressions and voice. The emotion engine uses voice and facial recognition technology based on the user's input to evaluate the user's emotional state. The input at this time is the user's request and data on their facial expressions and voice, and the output is an evaluation result indicating the user's emotional state.

[1236] Step 3:

[1237] The device sends a request to the server containing the sentiment analysis results. The request data is converted to JSON format and sent as an HTTP request. The input is the sentiment analysis results and the request content, and the output is the request sent to the server.

[1238] Step 4:

[1239] The server analyzes the request received from the terminal. Based on the user's sentiment data and the request content, the server generates an appropriate database query. The input is the received request data, and the output is the generated database query.

[1240] Step 5:

[1241] The server retrieves information from the database in response to the request. The database contains information such as tourist attractions, restaurants, and transportation options. The input is a database query, and the output is the retrieved relevant information.

[1242] Step 6:

[1243] The server analyzes the acquired information and organizes it in a customized format according to the user's emotional state. The input is the acquired raw data, and the output is the organized and customized information.

[1244] Step 7:

[1245] The server returns the organized information to the terminal. The information is converted back into JSON format and sent to the terminal as an HTTP response. The input is organized information, and the output is the transmission of information to the terminal.

[1246] Step 8:

[1247] The device retrieves information received from the server and displays it to the user through a head-mounted display. The information is displayed in a format that allows the user to experience a virtual tour. The input is the received customized information, and the output is the virtual tour displayed in the user's field of view.

[1248] Step 9:

[1249] Users experience a virtual tour of their travel destination while wearing a head-mounted display. Because the information provided is optimized for the user's emotions, stress reduction and relaxation effects can be expected. The input is the virtual tour displayed in the user's field of vision, and the output is an improvement in the user's satisfaction with their travel experience.

[1250] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1251] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1252] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1253] [Fourth Embodiment]

[1254] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1255] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1256] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1257] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1258] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1259] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1260] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1261] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1262] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1263] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1264] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1265] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1266] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1267] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations. The implementation of this system includes the following steps and elements.

[1268] System-wide configuration

[1269] The system consists of a terminal used by the user, a server that receives and processes requests, and a database that stores information.

[1270] 1. User input

[1271] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[1272] 2. Sending requests via the terminal

[1273] The terminal retrieves user input, converts it to an appropriate format (e.g., JSON), and sends it to the server. This is done as an HTTP request. The terminal's role is to accurately convey the user's request to the server.

[1274] 3. Receiving and parsing server requests

[1275] The server receives requests sent from the terminal and parses the information about the requested travel destination. In this step, it analyzes the user's input and generates appropriate database queries.

[1276] 4. Retrieving information from the database

[1277] Based on the analysis results, the server accesses the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data format.

[1278] 5. Analysis and organization of information by the server

[1279] The server analyzes the information retrieved from the database and organizes it into an appropriate format for provision to users. Specifically, it classifies data by category, such as tourist destinations, restaurants, and transportation methods, and organizes it while considering the accuracy and evaluation of the information.

[1280] 6. Sending information from the server to the terminal

[1281] The server returns the organized information to the terminal. This is also done as an HTTP response. The server's role is to provide the user with the information they need in an organized and effective manner.

[1282] 7. Information display via terminal

[1283] The terminal retrieves information received from the server and displays it in a user-friendly format. This includes lists of popular tourist spots, recommendations for local restaurants, and transportation information.

[1284] 8. User information verification and travel planning

[1285] Users check the information displayed on their devices and use it to plan their trip. For example, they might plan to visit tourist spots like Kiyomizu-dera Temple or Kinkaku-ji Temple, or consider dining at Kani Doraku.

[1286] As a concrete example, if a user searches for "I want to travel to Kyoto. What are some recommended spots?",

[1287] 1. The user enters a request into the terminal interface.

[1288] 2. The device sends a request to the server.

[1289] 3. The server receives the request, parses it, and sends a query to the database.

[1290] 4. Obtain information on tourist attractions, restaurants, and transportation options for "Kyoto" from the database.

[1291] 5. The server analyzes the acquired information and organizes it by category.

[1292] 6. The server returns the organized information to the terminal.

[1293] 7. The device displays information on the user interface.

[1294] 8. The user reviews the displayed information and plans their trip.

[1295] This allows users to save time and effort and efficiently obtain useful information about their travel destinations.

[1296] The following describes the processing flow.

[1297] Step 1:

[1298] The user enters destination information into the terminal's interface and presses the send button. For example, they might enter, "Please tell me some recommended spots in Kyoto."

[1299] Step 2:

[1300] The terminal retrieves the user's input and converts it into an appropriate format (e.g., JSON data). It then sends an HTTP request containing the converted data to the server.

[1301] Step 3:

[1302] The server receives an HTTP request sent from the terminal. The server analyzes the request and recognizes that the destination is "Kyoto".

[1303] Step 4:

[1304] Based on the analysis results, the server accesses the database to retrieve the necessary information. Specifically, it executes SQL queries to search for data related to tourist attractions, restaurants, and transportation options in Kyoto.

[1305] Step 5:

[1306] The server analyzes the raw data retrieved from the database. The retrieved data is then categorized into categories such as tourist destinations, restaurants, and transportation, and useful information for the user is selected.

[1307] Step 6:

[1308] The server compiles the analyzed and classified information and generates response data to provide to the user. It then sends the HTTP response containing the generated data to the terminal.

[1309] Step 7:

[1310] The terminal retrieves the HTTP response received from the server and analyzes the response data. Based on the analysis results, the information is displayed in a user-friendly format on the user interface.

[1311] Step 8:

[1312] The user checks the information displayed on their device. This information includes, for example, tourist attractions such as "Kiyomizu-dera Temple" and "Kinkaku-ji Temple," restaurants such as "Kani Doraku," and transportation options.

[1313] By following these steps, users can efficiently obtain useful information about their travel destination and plan their trip.

[1314] (Example 1)

[1315] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1316] In modern society, many users gather travel information via the internet, but this requires checking numerous different sources, which is time-consuming and laborious. Furthermore, the reliability and accuracy of this information vary, making it difficult to obtain accurate data. Therefore, there is a need for a system that allows users to efficiently gather useful travel information and smoothly plan their trips based on that information.

[1317] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1318] In this invention, the server includes means for a user to request information about a travel destination, means for a terminal to send a request to the server, means for the server to receive the request and retrieve information from a database based on the request, means for the server to analyze the retrieved information and organize it into categories for provision to the user, means for the server to return the organized information to the terminal, means for the terminal to display the information received from the server on a user interface and present it in a format that the user can confirm, and means for the user to create a travel plan based on the information displayed on the terminal. This makes it possible for the user to efficiently obtain useful information about a travel destination and easily create a travel plan.

[1319] A "user" refers to an individual who uses this system to obtain information about their travel destination and plan their trip.

[1320] A "terminal" refers to an electronic device used by a user that receives requests, sends them to a server, and displays information from the server. Specific examples include smartphones and personal computers.

[1321] A "request" is an information request entered by a user using their device, and may include requests for detailed information about a specific travel destination or category.

[1322] A "server" refers to a central processing unit that receives requests from terminals, retrieves information from a database based on those requests, and then analyzes and organizes that information.

[1323] A "database" refers to an information repository that a server accesses to retrieve travel destination-related information. Specifically, it stores data such as tourist attractions, restaurants, and transportation options.

[1324] "Means of obtaining information" refers to query operations and information requests that a server executes against a database.

[1325] "Methods for analyzing information and organizing it by category" refers to the process by which a server analyzes information obtained from a database and classifies and organizes it into categories such as tourist destinations, restaurants, and modes of transportation.

[1326] "Means of displaying information on a user interface" refers to the process by which a terminal displays information received from a server in an easily understandable way for the user using an HTML template engine or similar.

[1327] "Methods for planning a trip" refers to a series of actions in which a user decides on places to visit, places to eat, means of transportation, etc., based on travel information displayed on their device.

[1328] This invention is a system that enables users to efficiently obtain useful information about their travel destinations and smoothly plan their trips. The system consists of a terminal used by the user, a server that receives and processes requests, and a database that stores the information.

[1329] Hardware and software configuration

[1330] Device: An electronic device used by a user, including smartphones and personal computers. This includes devices on which web browsers and mobile apps run.

[1331] Server: Includes a processor that receives requests, executes database queries, parses the results, and sends them. Specifically, it is implemented using Node.js or Python, and utilizes web frameworks such as Express.js or Django.

[1332] Database: A repository for storing travel destination information, using relational database systems such as MySQL or PostgreSQL.

[1333] Program processing

[1334] The server first parses the request received from the terminal and generates a corresponding database query. Next, it executes that query against the database and receives the resulting information. The server then analyzes this information and organizes it into categories (tourist attractions, restaurants, transportation, etc.) for the user to use. The organized information is then sent back to the terminal, which displays it in a user-friendly format.

[1335] Specifically, the server connects to a MySQL database using the Node.js mysql library and retrieves information. The retrieved information is parsed and organized using JavaScript array manipulation and the lodash library. The organized information is converted to JSON format and sent to the terminal as an HTTP response. The terminal retrieves the JSON data received from the server using the JavaScript fetch API and displays the information using an HTML templating engine (e.g., Handlebars.js or React.js).

[1336] Specific example

[1337] The following is a specific action that would occur if a user entered "I want to travel to Kyoto. What are some recommended spots?".

[1338] 1. The user enters "Please tell me some recommended spots in Kyoto" into the terminal's interface.

[1339] 2. The terminal converts this input to JSON format and sends it to the server using the JavaScript fetch API.

[1340] 3. The server parses the received request and generates a database query using Node.js and Express.js.

[1341] 4. The server executes SQL queries against the MySQL database to retrieve the necessary information.

[1342] 5. The server analyzes and organizes the acquired data by category using JavaScript and the lodash library.

[1343] 6. Convert the organized information into JSON format and send it to the terminal as an HTTP response.

[1344] 7. The terminal displays the received information in the user interface using an HTML template engine.

[1345] 8. The user plans their trip based on the displayed information.

[1346] Example of a prompt

[1347] "Could you recommend some sightseeing spots in Kyoto?"

[1348] "I'd like to know about popular restaurants in Kyoto."

[1349] "Please tell me some must-see spots in Kyoto."

[1350] This system allows users to efficiently obtain useful information about their travel destinations and easily plan their trips.

[1351] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1352] Step 1:

[1353] The user requests information about their travel destination. Specifically, the user enters "Please tell me about recommended spots in Kyoto" into the terminal's interface. This input is transmitted to the terminal and treated as request information.

[1354] Input: User request (e.g., "Please recommend some good spots in Kyoto")

[1355] Output: Request data

[1356] Step 2:

[1357] The terminal receives the user's request and converts it to JSON format. After conversion, this JSON data is sent to the server as an HTTP POST request. Specifically, the request is sent using the JavaScript fetch API.

[1358] Input: Request data

[1359] Output: Request data in JSON format

[1360] Step 3:

[1361] The server receives requests sent from the terminal. Specifically, it uses Node.js and Express.js to receive requests. Next, it parses this request data and generates appropriate database queries. These queries are created based on the travel destination and category requested by the user.

[1362] Input: Request data in JSON format

[1363] Output: Database query

[1364] Step 4:

[1365] The server uses the generated query to request information from a database (e.g., MySQL or PostgreSQL). Specifically, it uses the Node.js mysql library to execute SQL queries and retrieve data such as tourist attractions, restaurants, and transportation options related to "Kyoto".

[1366] Input: Database query

[1367] Output: Raw data (tourist destinations, restaurants, transportation, etc.)

[1368] Step 5:

[1369] The server analyzes the raw data retrieved from the database and organizes it by category (tourist destinations, restaurants, transportation, etc.). This is done using JavaScript array manipulation and libraries such as lodash. The data is organized accurately, taking into account the accuracy and value of the information.

[1370] Input: Raw data

[1371] Output: Data organized by category

[1372] Step 6:

[1373] The server converts the organized data into JSON format and sends it to the terminal as an HTTP response. Specifically, this is done using Node.js's res.json (parsedData).

[1374] Input: Data organized by category

[1375] Output: Organized data in JSON format

[1376] Step 7:

[1377] The terminal retrieves JSON data received from the server and displays it in the user interface. Specifically, it uses an HTML templating engine (e.g., Handlebars.js or React.js) to display the information. Here, a list of tourist spots, restaurant recommendations, and transportation information may be displayed on the screen.

[1378] Input: Organized data in JSON format

[1379] Output: Information displayed in the user interface

[1380] Step 8:

[1381] Users check the information displayed on their devices and plan their trip. Specifically, they might plan visits to places like Kiyomizu-dera Temple or Kinkaku-ji Temple, or consider dining at a Kani Doraku restaurant.

[1382] Input: Information displayed in the user interface

[1383] Output: Travel plan

[1384] As described above, users can efficiently obtain useful information about their travel destinations and easily plan their trips.

[1385] (Application Example 1)

[1386] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1387] Traditional travel information systems had limitations in allowing users to efficiently obtain information about their travel destinations. Furthermore, the lack of real-time information on nearby physical stores made it difficult for users to obtain immediately useful information on-site. This resulted in reduced accuracy in travel planning and lower satisfaction levels.

[1388] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1389] In this invention, the server includes means for providing real-time information on nearby physical stores based on location information requested by the user, means for the user to request information on their travel destination, and means for the terminal to send the request to the server. This makes it possible for the user to efficiently obtain useful information in real time while at their location.

[1390] "A means for users to request information about their travel destination" refers to an interface that allows users to input specific information about their travel destination and send a request to the system.

[1391] "Means by which a terminal sends a request to a server" refers to the means of communication used to convert a request entered by the user into an appropriate data format and send it to the server.

[1392] "Means by which a server receives a request and retrieves information from a database based on that request" refers to the process of analyzing a request sent from a terminal, querying the database based on that request, and retrieving the necessary information.

[1393] "The means by which a server analyzes acquired information and compiles it for provision to the user" refers to the process of analyzing raw data obtained from a database and organizing and processing it into a format useful to the user.

[1394] "Means of sending information compiled by the server back to the terminal" refers to a communication method for converting the analyzed and organized information into an appropriate data format and sending it back to the terminal.

[1395] "A means by which a terminal displays information received from a server and presents it in a format that the user can verify" refers to an interface that displays information received from a server in a visually easy-to-understand format, making it easy for the user to verify.

[1396] "A means of providing real-time information on nearby physical stores based on location information requested by the user" refers to the process of searching for, retrieving, and providing real-time information on nearby physical stores based on the user's current location.

[1397] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations. This system mainly consists of a user terminal, a server, and a database.

[1398] User operation steps

[1399] Users use smartphones or other devices to input text or touch information into the interface as a means of requesting information about their travel destination. For example, they might type, "Please tell me about recommended spots in Kyoto." Users can also select specific categories, such as tourist attractions, restaurants, or transportation.

[1400] Data transmission and reception

[1401] The terminal retrieves the user's input and converts it into an appropriate data format, such as JSON. Then, it uses an HTTP request to send the data to the server, which is the means by which the terminal sends a request to the server. For example, if the request is for "a cafe in Kyoto," that information will be sent to the server.

[1402] Server Processing

[1403] The server uses a means of receiving requests and retrieving information from the database based on those requests to obtain appropriate information from the database. In this process, location information is also analyzed to obtain information about nearby physical stores based on the user's current location. Based on the request content, an appropriate database query is generated to retrieve the necessary information.

[1404] The acquired information is processed and organized using a method that "analyzes the information acquired by the server and compiles it for provision to the user." Specifically, raw data is classified by category, and important information is prioritized and organized, taking into account ratings and user reviews.

[1405] Data provision

[1406] The server converts the organized information into a format such as JSON and sends it back to the terminal as an HTTP response using a "means for the server to return the compiled information to the terminal." For example, this could include information about cafes in Kyoto, such as ratings, reviews, and transportation options.

[1407] Displaying information

[1408] The device will display received information in a visually easy-to-understand interface, serving as a means of presenting it in a format that the user can verify. This will include displays such as lists of tourist spots, maps, and details about transportation options.

[1409] Specific example

[1410] For example, if a user searches for "cafes near Kyoto," the server retrieves relevant cafe information from its database, compiles ratings and reviews, and sends them to the user's device. The user can then use this information to choose a cafe they want to visit. This system allows users to obtain useful information in real time and efficiently plan their trips.

[1411] Example of a prompt

[1412] "You are a developer of a travel guide app. Please show me how to implement an application that allows users to obtain real-time, up-to-date information on tourist attractions, restaurants, and transportation in a specific travel destination. Please also provide specific program code examples. The travel destination is 'Kyoto,' and the categories are 'Tourist Attractions,' 'Restaurants,' and 'Transportation.'"

[1413] This invention enables users to efficiently obtain useful information in real time while on location, thereby enhancing their travel enjoyment. This allows them to quickly grasp information about their travel destination and take appropriate action.

[1414] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1415] Step 1:

[1416] A way for users to request information about their travel destination

[1417] The user enters the destination and category (e.g., tourist attraction, restaurant, etc.) into the terminal's interface.

[1418] Input: Travel destination and category (e.g., cafes in Kyoto)

[1419] Output: Input request data

[1420] Specific operation: The user enters text indicating the place they want to go and the information they want to know (e.g., tourist spots in Kyoto, cafes).

[1421] Step 2:

[1422] The means by which a terminal sends a request to a server

[1423] The terminal receives user input, converts it to an appropriate data format (e.g., JSON), and sends it to the server via an HTTP request.

[1424] Input: User request data

[1425] Output: HTTP request sent to the server

[1426] Specific action: The device creates JSON data containing "cafes in Kyoto" and sends it to the server as an HTTP request.

[1427] Step 3:

[1428] A server receives a request and retrieves information from a database based on that request.

[1429] The server parses the request, generates a database query, and retrieves the relevant information.

[1430] Input: Request data included in the HTTP request

[1431] Output: Acquired data (e.g., information on cafes in Kyoto)

[1432] Specific operation: The server receives an HTTP request, parses the request data to generate database queries related to "cafes in Kyoto," and then sends those queries to the database.

[1433] Step 4:

[1434] A means of analyzing information acquired by a server and compiling it for provision to the user.

[1435] The server organizes the information retrieved from the database into categories, extracts important information, and summarizes it.

[1436] Input: Raw data retrieved from the database

[1437] Output: Organized information (e.g., a list of cafes in Kyoto and their reviews)

[1438] Specific operation: The server analyzes Kyoto cafe information retrieved from the database and creates organized data including ratings and user reviews.

[1439] Step 5:

[1440] A method for the server to send compiled information back to the terminal.

[1441] The server converts the organized information into an appropriate data format (e.g., JSON) and sends it to the terminal as an HTTP response.

[1442] Input: Organized information data

[1443] Output: HTTP response sent to the terminal

[1444] Specific operation: The server converts the organized Kyoto cafe information into JSON format and sends it to the terminal as an HTTP response.

[1445] Step 6:

[1446] A method for displaying information received by a terminal from a server and presenting it in a format that the user can verify.

[1447] The terminal receives the HTTP response and displays it in a visually easy-to-understand format on the user interface.

[1448] Input: HTTP response received from the server

[1449] Output: Information displayed in the user interface

[1450] Specific operation: The terminal analyzes the Kyoto cafe information received from the server and displays it in a list format or on a map.

[1451] Step 7:

[1452] A method for providing real-time information on nearby physical stores based on location information requested by the user.

[1453] The server searches for and provides real-time information on physical stores near the user's current location, based on the user's location data.

[1454] Input: User's current location information

[1455] Output: Information on physical stores near your current location.

[1456] Specific operation: The server analyzes the user's current location, retrieves real-time information about nearby cafes and restaurants from a database, and sends it to the terminal.

[1457] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1458] This invention relates to a system that allows users to efficiently obtain useful information about their travel destinations and further customizes that information according to the user's emotions using an emotion engine. The following steps and elements are included in implementing this system.

[1459] System-wide configuration

[1460] The system consists of a terminal used by the user, a server that receives and processes requests, a database that stores information, and an emotion engine.

[1461] 1. User input

[1462] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[1463] 2. Emotion recognition and request transmission by the device.

[1464] The emotion engine analyzes the user's facial expressions and voice to evaluate their current emotional state. Based on the results, it adapts the user's input. The device sends a request containing the analysis results to the server. This request is converted into an appropriate format (e.g., JSON data) and sent as an HTTP request.

[1465] 3. Receiving and parsing server requests

[1466] The server receives HTTP requests sent from the terminal and parses the requested travel destination information. This step also considers the user's sentiment data. The server analyzes the request content and sentiment data to generate appropriate database queries.

[1467] 4. Retrieving information from the database

[1468] Based on the analysis results, the server accesses the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data format.

[1469] 5. Analysis and organization of information by the server

[1470] The server analyzes the information retrieved from the database and organizes it into an appropriate format for providing to the user. Specifically, it classifies data by categories such as tourist destinations, restaurants, and transportation, and customizes the information according to the user's sentiment.

[1471] 6. Sending information from the server to the terminal

[1472] The server returns the organized information to the terminal. This is also done as an HTTP response. The server's role is to provide the user with the information they need in an organized and effective manner.

[1473] 7. Information display via terminal

[1474] The device retrieves information received from the server and displays it in a user-friendly format. Based on the analysis results of the emotion engine, the displayed information is optimized to the user's emotions.

[1475] 8. User information verification and travel planning

[1476] Users review the information displayed on their device and use it to plan their trip. For example, if a user has shown interest in "Kiyomizu-dera Temple" or "Kinkaku-ji Temple," these tourist destinations will be recommended. Additionally, information such as "relaxing cafes" or "adventure-style activities" will be added depending on the user's emotional state.

[1477] As a concrete example, if a user searches for "I want to travel to Kyoto. What are some recommended spots?", and the emotion engine recognizes that the user is feeling stressed,

[1478] 1. The user enters a request into the device interface, and the emotion engine analyzes the emotion.

[1479] 2. The device sends a request to the server.

[1480] 3. The server receives the request and sentiment data, analyzes it, and queries the database.

[1481] 4. Obtain information on tourist attractions, relaxing restaurants, and transportation options for "Kyoto" from the database.

[1482] 5. The server analyzes the acquired information, organizes it by category, and adjusts it while taking sentiment data into consideration.

[1483] 6. The server sends information back to the terminal.

[1484] 7. The device displays information on the user interface, providing information optimized to the user's emotions.

[1485] 8. The user reviews the displayed information and creates a travel plan from a stress-reducing perspective.

[1486] This allows users to efficiently obtain useful information about the best travel destinations tailored to their emotional state and plan their trips accordingly.

[1487] The following describes the processing flow.

[1488] Step 1:

[1489] The user enters information about their travel destination into the device's interface and presses the send button, writing, "Please tell me your recommended spots in Kyoto."

[1490] Step 2:

[1491] The device retrieves user input and activates the emotion engine. The emotion engine analyzes the user's facial expressions and voice to evaluate their current emotional state.

[1492] Step 3:

[1493] The emotion engine identifies the user's emotional state based on the analysis results. For example, it determines whether the user is feeling stressed or relaxed.

[1494] Step 4:

[1495] The device converts the user's input and the sentiment engine's results into an appropriate format (e.g., JSON data) and sends it to the server. Specifically, it creates data such as "Please tell me your recommended spots in Kyoto" and "The user is currently feeling stressed."

[1496] Step 5:

[1497] The server receives an HTTP request sent from the terminal. The server analyzes the request content and sentiment data, and recognizes that the destination is "Kyoto" and the user's sentiment state is "stressed".

[1498] Step 6:

[1499] The server accesses the database based on the analysis results. The server executes SQL queries to retrieve information related to tourist attractions, relaxing restaurants, and transportation options in Kyoto.

[1500] Step 7:

[1501] The server analyzes raw data retrieved from the database. The retrieved data is classified into categories such as tourist destinations, restaurants, and transportation, and information that helps users relax based on their emotional state is selected.

[1502] Step 8:

[1503] The server organizes the analyzed and classified information for use by users. In addition to tourist attractions like Kiyomizu-dera Temple and Kinkaku-ji Temple, the server includes information on restaurants offering relaxation, such as Kani Doraku.

[1504] Step 9:

[1505] The server generates a response containing the organized information and sends it to the terminal. This is also sent as an HTTP response.

[1506] Step 10:

[1507] The terminal retrieves the HTTP response received from the server and analyzes the response data. The terminal then displays optimal information on the user interface, taking into account the user's emotional state.

[1508] Step 11:

[1509] The user checks the information displayed on their device. The user then plans their trip based on the displayed information about "Kyoto tourist spots" and "relaxing restaurants."

[1510] Through these steps, users can efficiently obtain information on the most suitable travel destinations based on their emotional state and generate travel plans.

[1511] (Example 2)

[1512] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1513] Conventional travel information systems lacked customization that took into account the user's current emotional state, resulting in a failure to provide the information users most needed. In particular, the lack of suggestions tailored to the user's emotional state during travel planning often led to user stress.

[1514] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1515] In this invention, the server includes means for the user to request travel destination information, means for the terminal to analyze the user's emotional state, means for the terminal to send a request including the analysis results to the server, means for the server to receive the request and retrieve information from a database based on the request, means for the server to analyze the retrieved information, customize it according to the user's emotional state, and compile it for provision to the user, means for the server to return the compiled information to the terminal, and means for the terminal to display the information received from the server and present it in a format that the user can confirm. This makes it possible to provide optimal travel information according to the user's emotional state.

[1516] A "user" refers to a person who is trying to obtain information about their travel destination.

[1517] A "terminal" refers to an electronic device used by a user to input information and display received information.

[1518] "Emotional state" refers to the psychological condition analyzed from the user's facial expressions, voice, and other data.

[1519] An "emotion engine" refers to software or hardware installed in a device that analyzes the user's facial expressions and voice to evaluate their emotional state.

[1520] A "request" refers to a message sent by a user to a server via their device, requesting specific information.

[1521] A "server" refers to a device or system that receives requests from a terminal, analyzes them, retrieves information from a database, and sends that information back to the terminal.

[1522] A "database" refers to a collection of data where information is organized and stored, which a server accesses to retrieve information.

[1523] "Customization" refers to optimizing and individually adjusting information according to the user's emotional state.

[1524] An "HTTP request" refers to a message format based on the Internet Protocol used to request information from a terminal to a server.

[1525] "JSON format" is a method for structuring and representing data in an exchangeable format, and it is an abbreviation for JavaScript Object Notation.

[1526] "User interface" refers to the screen and operating interface that a device uses to display information to the user.

[1527] "Information display" refers to displaying information received from a server on a terminal in a format that is easy for the user to understand.

[1528] "Travel planning" refers to the process of determining the details of a trip based on the information the user has gathered.

[1529] This invention is a system that allows users to efficiently acquire information about their travel destinations and further customizes that information according to the user's emotions using an emotion engine. The following steps and elements are included in implementing this system.

[1530] System-wide configuration

[1531] The system consists of a terminal used by the user, a server that receives and processes requests, a database that stores information, and an emotion engine.

[1532] User input

[1533] If a user wants to obtain information about a travel destination (e.g., Kyoto), they first enter a request such as "Please tell me about recommended spots in Kyoto" into the device's interface. This request can also include specific categories such as tourist attractions, restaurants, and transportation.

[1534] Emotion recognition and request sending via devices

[1535] The device uses its built-in camera and microphone to input the user's facial expressions and voice into the emotion engine. The emotion engine analyzes this data and evaluates the user's emotional state. Specifically, it analyzes facial expressions and voice tone to determine emotions such as stress, exhilaration, and relaxation. Based on the results, it optimizes the content entered by the user. For example, if the user is feeling stressed, it prioritizes relaxing spots. The optimized request is converted into JSON format and sent to the server as an HTTP request.

[1536] Hardware used: Camera, microphone

[1537] Software used: Emotion recognition library (e.g., EmotionAPI), HTTP request library

[1538] Server request reception and analysis

[1539] The server analyzes the HTTP request received from the terminal. Along with the request content, user sentiment data is also analyzed. Based on this, the server generates appropriate queries for the database.

[1540] Hardware used: Server

[1541] Software to be used: HTTP server software (e.g., Apache, Nginx), parsing library (e.g., JSON parser)

[1542] Retrieving information from the database

[1543] The server sends a query to the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. This information is obtained in raw data form and is often returned in JSON format.

[1544] Hardware used: Database server

[1545] Software to use: Database management system (e.g., MySQL, PostgreSQL)

[1546] Server-based information analysis and organization

[1547] The server analyzes the acquired information and organizes it into an appropriate format for providing to the user. The information is categorized into areas such as tourist attractions, restaurants, and transportation. Furthermore, the information is customized according to the user's emotions. For example, if the emotion engine assesses that the user is feeling stressed, relaxing places and activities will be prioritized.

[1548] Hardware used: Server

[1549] Software to be used: Data analysis libraries (e.g., Pandas, NumPy)

[1550] Information transmission from server to terminal

[1551] The server returns the organized information to the terminal. This information is also sent as an HTTP response in JSON format. The server's role is to efficiently provide the information the user requests.

[1552] Hardware used: Server

[1553] Software used: HTTP server software, JSON library

[1554] Information display via terminal

[1555] The device retrieves information received from the server and displays it in the UI (User Interface). Based on the analysis results of the emotion engine, the displayed information is optimized for the user's emotions. Specifically, a user feeling stressed might be recommended a relaxing place like a cafe.

[1556] Hardware used: Smartphone, tablet

[1557] Software to use: UI libraries (e.g., React Native, Flutter)

[1558] User information verification and travel planning

[1559] Users review the information displayed on their devices and plan their trips. For example, if a user expresses interest in Kiyomizu-dera Temple and Kinkaku-ji Temple, information on relaxing cafes and activities will be provided along with information on these tourist destinations.

[1560] Specific examples and prompt statements

[1561] For example, consider a scenario where a user searches for "I want to travel to Kyoto. What are some recommended spots?" and the emotion engine recognizes the user's stress.

[1562] Example of a specific prompt: "Show me recommended tourist spots in Kyoto. The user is currently stressed, so prioritize providing relaxing places."

[1563] This allows users to efficiently obtain useful information about the best travel destinations tailored to their emotional state and plan their trips accordingly.

[1564] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1565] Step 1:

[1566] The user enters a request into the terminal interface, stating, "Please tell me some recommended spots in Kyoto." This request seeks information about a travel destination. The input data is in text format, and the request can include categories such as specific tourist attractions, restaurants, and transportation options.

[1567] Step 2:

[1568] The device uses its built-in camera and microphone to input the user's facial expressions and voice into the emotion engine. The emotion engine analyzes this data and evaluates the user's emotional state. The input data is in image or audio format, and the data is analyzed to determine emotions such as stress, exhilaration, and relaxation. Based on these results, the system optimizes the user's requests.

[1569] Specific actions:

[1570] Input: User facial expression data (image), audio data

[1571] Data processing: Image analysis, audio analysis

[1572] Output: Emotional state (e.g., stress)

[1573] Step 3:

[1574] The device converts an optimized request (for example, "Recommended relaxing spots in Kyoto" that take the user's stress level into JSON format) and sends it to the server as an HTTP request. The input data is the optimized request text, and the output data is an HTTP request in JSON format.

[1575] Specific actions:

[1576] Input: Optimized request text

[1577] Data processing: Conversion to JSON format

[1578] Output: HTTP request

[1579] Step 4:

[1580] The server analyzes HTTP requests received from terminals. Along with the request content, user sentiment data is also analyzed, and appropriate queries are generated in the database. The input data is the HTTP request, and the output data is the database query.

[1581] Specific actions:

[1582] Input: HTTP Request

[1583] Data analysis: Identifying the content of the request

[1584] Output: Database query

[1585] Step 5:

[1586] The server sends a query to the database to retrieve information related to "Kyoto," such as tourist attractions, restaurants, and transportation options. The input data is the database query, and the output data is raw data containing information about "Kyoto."

[1587] Specific actions:

[1588] Input: Database query

[1589] Data acquisition: Extraction of relevant information

[1590] Output: Raw data (tourist destinations, restaurants, etc.)

[1591] Step 6:

[1592] The server analyzes the acquired information and organizes it into an appropriate format for provision to the user. The information is categorized into areas such as tourist attractions, restaurants, and transportation, and customized based on sentiment data. Input data is raw data, while output data is organized information.

[1593] Specific actions:

[1594] Input: Raw data

[1595] Data Analysis and Classification: Organization by Category

[1596] Output: Organized information

[1597] Step 7:

[1598] The server returns the organized information to the terminal. This information is also sent as an HTTP response in JSON format. The input data is organized information, and the output data is the HTTP response.

[1599] Specific actions:

[1600] Input: Organized information

[1601] Data conversion: Conversion to JSON format

[1602] Output: HTTP response

[1603] Step 8:

[1604] The device retrieves information received from the server and displays it in the UI (User Interface). Based on the analysis results of the emotion engine, the displayed information is optimized for the user's emotions. The input data is the HTTP response, and the output data is the information displayed in the user interface.

[1605] Specific actions:

[1606] Input: HTTP response

[1607] Data display: Display on UI

[1608] Output: Information displayed in the user interface

[1609] (Application Example 2)

[1610] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1611] Traditional travel information systems failed to adequately enhance user satisfaction because they did not offer customization based on user emotions. Furthermore, the static nature of the information provided made it difficult to offer users real-time experiences or emotional responses, hindering the improvement of travel planning quality. This resulted in inefficient travel preparation and, consequently, lower overall travel satisfaction.

[1612] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for an emotion engine to analyze the user's current emotional state and customize the information displayed based on the analysis results, means for the user to wear a head-mounted display and experience a virtual tour of a travel destination, and means for analyzing the request entered by the user and identifying relevant travel information. This makes it possible to provide travel information and a virtual tour experience optimized according to the user's emotional state, thereby improving the user's satisfaction with both travel preparation and the trip itself.

[1613] A "user" is an individual or group that uses the system to obtain travel information.

[1614] "Destination information" refers to data such as tourist attractions, restaurants, transportation options, and activities related to a specific destination.

[1615] A "request" refers to a request that a user sends to a server through their device to obtain specific information.

[1616] A "terminal" is a device used by a user to input requests and display information, and includes smartphones, tablets, computers, and head-mounted displays.

[1617] A "server" is a central computer system that receives requests from users, retrieves and analyzes information from a database, and provides it to the user.

[1618] A "database" is a data storage system that holds information related to a travel destination and is accessible to a server.

[1619] An "emotion engine" is a software or hardware component that analyzes a user's facial expressions and voice to evaluate the user's current emotional state.

[1620] A "virtual tour" refers to a process where a user wears a head-mounted display and virtually experiences a travel destination using virtual reality technology.

[1621] "Customization" refers to adjusting information based on user requests and emotional states to make it individually suitable.

[1622] This invention is a system that allows users to efficiently obtain useful information about their travel destinations and customizes that information according to the user's emotions using an emotion engine. This system generates information based on user requests and provides that information through a virtual tour.

[1623] System-wide configuration

[1624] The system consists of a user terminal, a server that receives and processes requests, a database that stores information, and an emotion engine. It also includes a head-mounted display for users to experience virtual tours.

[1625] User input and request submission

[1626] Users request information about a specific travel destination (e.g., Kyoto) using a device such as a smartphone or tablet. The request is entered in natural language, such as "Please tell me some recommended spots in Kyoto," and their emotional state at the time is also recorded.

[1627] Analysis using an emotion engine

[1628] The device analyzes the user's voice and facial expressions using an emotion engine to assess the user's current emotions. For example, if the user is feeling stressed, that information will be included in the request.

[1629] Server receives and analyzes requests.

[1630] The server receives a request sent from the terminal. The request also includes the user's sentiment data. Next, the server analyzes the request content and sentiment data, and generates an appropriate database query based on that analysis.

[1631] Retrieving information from the database

[1632] The server accesses the database to retrieve information in response to the request. This includes information such as tourist attractions, restaurants, and transportation options in the travel destination.

[1633] Information analysis and organization

[1634] The server analyzes information retrieved from the database and organizes it in a customized way according to the user's emotions. For example, for a user experiencing stress, it prioritizes providing information on relaxing cafes and calm tourist spots.

[1635] Offering virtual tours

[1636] Users wear a head-mounted display to experience a virtual tour. Information transmitted from the server is displayed as a virtual tour, providing a real-time, emotionally responsive travel experience.

[1637] Specific example

[1638] If a user asks the head-mounted display, "What are some recommended spots in Kyoto to relieve stress?", the emotion engine analyzes the user's emotions and determines that they are seeking relaxation. The server generates an appropriate database query and retrieves information such as relaxing cafes and gardens. This information is displayed on the head-mounted display, allowing the user to virtually experience the destination through a virtual tour.

[1639] Example of a prompt

[1640] As a prompt, "Considering the user is seeking relaxation, please recommend some suitable spots in Kyoto to relieve stress."

[1641] This invention enables the provision of optimized travel information tailored to the user's emotional state, thereby increasing satisfaction with both travel preparation and the trip itself.

[1642] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1643] Step 1:

[1644] The user requests information about their travel destination using their device. Specifically, the user inputs a request such as "Please tell me some recommended spots in Kyoto" in natural language into the interface of their smartphone or tablet. This input becomes the initial data for processing.

[1645] Step 2:

[1646] The device receives a request and uses an emotion engine to analyze the user's facial expressions and voice. The emotion engine uses voice and facial recognition technology based on the user's input to evaluate the user's emotional state. The input at this time is the user's request and data on their facial expressions and voice, and the output is an evaluation result indicating the user's emotional state.

[1647] Step 3:

[1648] The device sends a request to the server containing the sentiment analysis results. The request data is converted to JSON format and sent as an HTTP request. The input is the sentiment analysis results and the request content, and the output is the request sent to the server.

[1649] Step 4:

[1650] The server analyzes the request received from the terminal. Based on the user's sentiment data and the request content, the server generates an appropriate database query. The input is the received request data, and the output is the generated database query.

[1651] Step 5:

[1652] The server retrieves information from the database in response to the request. The database contains information such as tourist attractions, restaurants, and transportation options. The input is a database query, and the output is the retrieved relevant information.

[1653] Step 6:

[1654] The server analyzes the acquired information and organizes it in a customized format according to the user's emotional state. The input is the acquired raw data, and the output is the organized and customized information.

[1655] Step 7:

[1656] The server returns the organized information to the terminal. The information is converted back into JSON format and sent to the terminal as an HTTP response. The input is organized information, and the output is the transmission of information to the terminal.

[1657] Step 8:

[1658] The device retrieves information received from the server and displays it to the user through a head-mounted display. The information is displayed in a format that allows the user to experience a virtual tour. The input is the received customized information, and the output is the virtual tour displayed in the user's field of view.

[1659] Step 9:

[1660] Users experience a virtual tour of their travel destination while wearing a head-mounted display. Because the information provided is optimized for the user's emotions, stress reduction and relaxation effects can be expected. The input is the virtual tour displayed in the user's field of vision, and the output is an improvement in the user's satisfaction with their travel experience.

[1661] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1662] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1663] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1664] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1665] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[1666] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[1667] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[1668] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[1669] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[1670] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[1671] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[1672] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[1673] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[1674] 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.

[1675] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[1676] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[1677] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[1678] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[1679] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[1680] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[1681] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[1682] The following is further disclosed regarding the embodiments described above.

[1683] (Claim 1)

[1684] A means for users to request information about their travel destination,

[1685] The means by which the terminal sends a request to the server,

[1686] A server receives a request and has means to retrieve information from a database based on that request.

[1687] A means of analyzing the information acquired by the server and compiling it for provision to the user,

[1688] A means for the server to send the compiled information back to the terminal,

[1689] A means of displaying information received by the terminal from the server and presenting it in a format that the user can verify,

[1690] A system that includes this.

[1691] (Claim 2)

[1692] The system according to claim 1, comprising a server that analyzes user-entered requests and identifies relevant travel information.

[1693] (Claim 3)

[1694] The system according to claim 1, further comprising means for displaying information received by the terminal from the server on a user interface.

[1695] "Example 1"

[1696] (Claim 1)

[1697] A means for users to request information about their travel destination,

[1698] The means by which the terminal sends a request to the server,

[1699] A server receives a request and has means to retrieve information from a database based on that request.

[1700] A means of analyzing the information acquired by the server and organizing it into categories for provision to the user,

[1701] A means for the server to return organized information to the terminal,

[1702] A means of displaying information received by the terminal from the server on the user interface and presenting it in a format that the user can verify,

[1703] A means for users to plan their trips based on information displayed on their devices,

[1704] A system that includes this.

[1705] (Claim 2)

[1706] The system according to claim 1, comprising means for analyzing a request entered by a user, generating an appropriate database query, and obtaining relevant travel information.

[1707] (Claim 3)

[1708] The system according to claim 1, comprising means for displaying information received by the terminal from the server on a user interface using an HTML template engine.

[1709] "Application Example 1"

[1710] (Claim 1)

[1711] A means for users to request information about their travel destination,

[1712] The means by which the terminal sends a request to the server,

[1713] A server receives a request and has means to retrieve information from a database based on that request.

[1714] A means of analyzing the information acquired by the server and compiling it for provision to the user,

[1715] A means for the server to send the compiled information back to the terminal,

[1716] A means of displaying information received by the terminal from the server and presenting it in a format that the user can verify,

[1717] A means of providing real-time information on nearby physical stores based on location information requested by the user,

[1718] A system that includes this.

[1719] (Claim 2)

[1720] The system according to claim 1, comprising a server that analyzes user-entered requests and identifies relevant travel information.

[1721] (Claim 3)

[1722] The system according to claim 1, further comprising means for displaying information received by the terminal from the server on a user interface.

[1723] "Example 2 of combining an emotion engine"

[1724] (Claim 1)

[1725] A means for users to request information about their travel destination,

[1726] A means by which the device analyzes the user's emotional state,

[1727] A means by which the terminal sends a request containing the analysis results to the server,

[1728] A server receives a request and has means to retrieve information from a database based on that request.

[1729] A means of analyzing the information acquired by the server, customizing it according to the user's emotional state, and compiling it for delivery to the user,

[1730] A means for the server to send the compiled information back to the terminal,

[1731] A means of displaying information received by the terminal from the server and presenting it in a format that the user can verify,

[1732] A system that includes this.

[1733] (Claim 2)

[1734] The system according to claim 1, wherein the terminal is equipped with an emotion engine that evaluates the user's emotional state using their facial expressions and voice.

[1735] (Claim 3)

[1736] The system according to claim 1, comprising means for a server to identify relevant travel information, taking into account the user's emotional data, and organize it in an appropriate format.

[1737] "Application example 2 when combining with an emotional engine"

[1738] (Claim 1)

[1739] A means for users to request information about their travel destination,

[1740] The means by which the terminal sends a request to the server,

[1741] A server receives a request and has means to retrieve information from a database based on that request.

[1742] A means of analyzing the information acquired by the server and compiling it for provision to the user,

[1743] A means for the server to send the compiled information back to the terminal,

[1744] A means of displaying information received by the terminal from the server and presenting it in a format that the user can verify,

[1745] The emotion engine analyzes the user's current emotional state and provides a means to customize the information displayed based on the analysis results.

[1746] A means for users to wear a head-mounted display and experience a virtual tour of their travel destination,

[1747] A system that includes this.

[1748] (Claim 2)

[1749] The system according to claim 1, comprising a server that analyzes user-entered requests and identifies relevant travel information.

[1750] (Claim 3)

[1751] The system according to claim 1, further comprising means for displaying information received by the terminal from the server on a user interface. [Explanation of symbols]

[1752] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for users to request information about their travel destination, The means by which the terminal sends a request to the server, A server receives a request and has means to retrieve information from a database based on that request. A means of analyzing the information acquired by the server and compiling it for provision to the user, A means for the server to send the compiled information back to the terminal, A means of displaying information received by the terminal from the server and presenting it in a format that the user can verify, A system that includes this.

2. The system according to claim 1, comprising a server that analyzes user-entered requests and identifies relevant travel information.

3. The system according to claim 1, further comprising means for displaying information received by the terminal from the server on a user interface.

Images