System

Abstract

A system is provided.SOLUTION: This system is provided with a means for collecting information related with the culture or habit of a tourist, a means for generating a sightseeing guideline based on the information, a means for providing the generated sightseeing guideline to a travel company or a local expert, and a means for generating an answer to the question of the tourist during travel in real time.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Communication difficulties faced by tourists from different countries and cultures at their destinations, along with a lack of cultural knowledge on the part of travel agencies and local experts, can prevent tourists from enjoying a fully satisfying travel experience. These situations can cause stress and dissatisfaction for travelers, potentially affecting their evaluation of the destination and their repeat visit rate. Furthermore, because travel agencies and local experts have limited opportunities to improve their ability to serve tourists with diverse cultural backgrounds, the quality of service provided is likely to remain at a constant level. [Means for solving the problem]

[0005] The present invention provides a system that combines a means for collecting and analyzing information on tourists' cultures and customs in advance with a means for generating tourism guidelines based on that information. Specifically, the system includes the following means:

[0006] 1. A means of collecting information about tourists' culture and customs

[0007] 2. A means of generating tourism guidelines based on collected information

[0008] 3. A means to provide the generated tourism guidelines to travel agencies and local experts

[0009] 4. A way to generate real-time answers to tourists' questions while traveling

[0010] This allows tourists to receive guidance tailored to their own cultural background, and travel agencies and local experts can respond appropriately to them.Furthermore, by including a means to store the information entered by tourists in a database and a means to upload the generated tourist guidelines to a portal site, even more advanced services can be provided.

[0011] A "tourist" is a traveler who visits a tourist destination and refers to people with a particular culture and customs.

[0012] "Culture" is a set of beliefs, values, customs, behaviors, and practices shared by people, and is characteristic of a region or nation.

[0013] "Customs" refer to patterns of behavior or everyday routines that are widely accepted in a particular culture or society.

[0014] "Means for collecting information" refers to an interface that allows tourists to input data about their culture and customs, and the function of sending that data to a server.

[0015] "Tourism guidelines" refers to documents that provide travel advice and precautions tailored to the culture and customs of tourists.

[0016] "Means for generating guidelines" refers to algorithms or programs that create guidelines suitable for tourists based on collected information on culture and customs.

[0017] "Means of provision" refers to a system or portal site that allows travel agencies and local experts to access the generated tourism guidelines.

[0018] "Means for generating answers in real time" refers to programs and functions for generating and providing appropriate answers instantly to questions from tourists while traveling.

[0019] "Database" refers to a data storage system for efficiently storing and managing tourist input information.

[0020] A "portal site" refers to a website where travel agencies and local experts can log in and obtain information. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6]FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0022] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0023] First, the terms used in the following description will be explained.

[0024] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0025] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0026] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0027] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0032] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0033] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0034] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0039] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0040] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0041] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0042] System Overview

[0043] This invention is a system that collects information on tourists' cultures and customs, and generates and provides tourism guidelines based on that information. The system aims to promote smooth communication between tourists, travel agencies, and local experts, and to provide a more satisfying travel experience.

[0044] Initial Setup and User Data Collection

[0045] When a user accesses this system, an initial setup screen is displayed first. A form for entering the user's name, nationality, cultural background, etc. is displayed on the terminal. After the user enters this information and presses the send button, the terminal sends the input data to the server. The server stores the received data in a database.

[0046] Data analysis and information provision using generative AI

[0047] The server retrieves user data from the database and provides it to the generation AI. The generation AI then collects further detailed information about the tourist's culture and customs from reliable sources on the Internet. Based on this collected information, the generation AI generates guidelines tailored to the tourist's culture. The server then organizes the generated guidelines, converts them into a format that can be used by travel guides and tour guides, and saves them.

[0048] Sharing information and providing guidelines

[0049] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Terminals (devices of travel agencies and local experts) log in to the portal site and download and use the guidelines related to specific tourists.

[0050] Travel support

[0051] While traveling, users (tourists) can receive real-time support through a dedicated smartphone app. Users enter a question on the app and press the send button, which sends the question to a server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question, generates an appropriate answer, and sends it back to the device via the server. On the device, travelers can instantly check the answer on the app.

[0052] Specific examples

[0053] For example, consider the case of a Japanese tourist traveling to the United States. The user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits in American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[0054] The server uploads these guidelines to a portal site, and devices (American travel agencies and tour guides) download and use the guidelines from the portal site. While traveling, users (Japanese tourists) input questions about "tipping customs at local restaurants" through the app. The server receives the question, and the AI ​​generator generates an answer - "It is customary to give a 15% to 20% tip at American restaurants" - and sends it back to the device. Users can check this answer on the app and use it to guide their actions at their travel destination.

[0055] In this way, the present invention provides a system that facilitates communication between tourists, travel agencies, and local experts, resulting in a more satisfying travel experience.

[0056] The processing flow will be explained below.

[0057] Step 1:

[0058] A user accesses the system and the initial setup screen is displayed.

[0059] Step 2:

[0060] The device displays a form for entering the user's name, nationality, and cultural background.

[0061] Step 3:

[0062] The user enters the required information into the form and presses the submit button.

[0063] Step 4:

[0064] The terminal transmits the input information to the server.

[0065] Step 5:

[0066] The server stores the received information in a database.

[0067] Step 6:

[0068] The server retrieves user data from the database and provides it to the generation AI.

[0069] Step 7:

[0070] Generative AI gathers detailed information about a user's culture and customs from trusted sources on the internet.

[0071] Step 8:

[0072] The generative AI generates tourism guidelines based on the collected information.

[0073] Step 9:

[0074] The server organizes the generated tourist guidelines, converts them into a format that can be used by travel guides and tour guides, and stores them.

[0075] Step 10:

[0076] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts.

[0077] Step 11:

[0078] The terminal (travel agency or local expert) logs in to the portal site and searches for and downloads tourism guidelines.

[0079] Step 12:

[0080] While traveling, users launch a dedicated smartphone app, enter their questions, and send them.

[0081] Step 13:

[0082] The terminal sends a query to the server.

[0083] Step 14:

[0084] The server receives the question and issues processing instructions to the generating AI.

[0085] Step 15:

[0086] The generative AI analyzes the question and generates an appropriate answer.

[0087] Step 16:

[0088] The server sends the generated answer to the user's terminal.

[0089] Step 17:

[0090] The terminal displays the answer, and the user can check the answer in real time.

[0091] Example 1

[0092] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0093] Conventional methods of providing tourism guidelines have difficulty adapting to the diverse cultures and customs of tourists, making it impossible to provide optimal guidelines for individual tourists. Furthermore, there was a lack of ways for tourists to ask questions in real time and receive appropriate answers while traveling, making it impossible to provide a satisfying travel experience.

[0094] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0095] In this invention, the server includes a means for collecting tourist attribute information, a means for using a generative AI model to generate tourist guidelines based on the collected information, and a means for providing the generated tourist guidelines to travel-related companies and local guides. This makes it possible to provide customized guidelines according to the culture and customs of each tourist, and to provide appropriate answers in real time to questions from tourists during their trip.

[0096] "Tourists" are people who visit a particular area for the purpose of sightseeing.

[0097] "Attribute information" refers to personal information such as tourists' names, nationalities, and cultural backgrounds.

[0098] A "generative AI model" refers to an artificial intelligence system that analyzes data and generates information based on collected attribute information.

[0099] "Travel-related companies" refers to companies and organizations that handle travel services, including travel agencies and tour operators.

[0100] A "local guide" refers to a professional who provides guidance and support to tourists at tourist destinations.

[0101] "Information provision system" refers to an online platform that provides generated guidelines and information in a form that can be accessed by travel-related companies and local guides.

[0102] "Database" refers to a digital information management system for storing tourist input information and generated guidelines.

[0103] "Real time" refers to providing actions and information in accordance with the current time.

[0104] This invention is a system for generating and providing tourism guidelines tailored to the culture and customs of tourists. The system facilitates communication between tourists, travel-related companies, and local guides, and provides real-time support during travel.

[0105] System Overview

[0106] Initial Setup and User Data Collection

[0107] When a user accesses the system, an initial setup screen is displayed. The terminal displays a form for entering the user's name, nationality, cultural background, etc. The user enters this information and presses the send button. The electronic device (terminal) can be a personal computer or smartphone. The terminal sends the input data to the server, and the server stores the received data in a database.

[0108] Data analysis and information provision using generative AI

[0109] The server retrieves user data from the database and provides it to a generative AI model. The generative AI model then collects information about the tourist's culture and customs from reliable sources on the Internet and generates guidelines tailored to the tourist's culture. Generative AI models such as GPT-3 and ChatGPT are used. The server then organizes the generated guidelines, converts them into a standard format, and saves them.

[0110] Sharing information and providing guidelines

[0111] The server uploads the generated tourist guidelines to an information system that can be accessed by travel-related companies and local guides. Terminals (devices of travel-related companies and local guides) can log in to the information system and download and use the guidelines related to specific tourists.

[0112] Travel support

[0113] During their trip, users (tourists) can receive real-time support through a dedicated smartphone app. When a user enters a question on the app and presses the send button, the question is sent to a server. The server receives the question and issues processing instructions to a generative AI model. The generative AI model analyzes the content of the question, generates an appropriate answer, and sends it back to the device via the server. The user can instantly check the answer on the app.

[0114] Specific examples

[0115] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generative AI model. The generative AI model collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note about common travel troubles that Japanese people may encounter. The server uploads these guidelines to an information system, and devices (American travel-related companies and tour guides) download and use the guidelines from the information system.

[0116] While traveling, users (Japanese tourists) input questions about "tipping customs at local restaurants" through the app. The server receives the question, and the generative AI model generates an answer: "It is customary to give a 15% to 20% tip at American restaurants," which is sent back to the device. Users can then check this answer on the app and use it to guide their travels.

[0117] Prompt Sentence Examples

[0118] Example prompt for a generative AI model:

[0119] "Generate guidelines for Japanese tourists traveling in the United States. Consider the following information: Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs."

[0120] In this way, the invention facilitates communication between tourists, travel-related businesses, and local guides, helping travelers have a more satisfying experience.

[0121] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0122] Step 1:

[0123] When a user accesses the system, the terminal displays an initial setup screen. This screen contains a form for entering the user's name, nationality, and cultural background. The user enters this information and presses the submit button. The entered data is name (e.g., "Yamada Taro"), nationality (e.g., "Japan"), and cultural background (e.g., "Traditional Japanese Customs").

[0124] Step 2:

[0125] The terminal sends the information entered by the user to the server, which stores the received data in a database. The input is user data, specifically information such as "Yamada Taro, Japan, traditional Japanese customs." This data is then processed to store accurately in the database.

[0126] Step 3:

[0127] The server retrieves the stored user data from the database. The input is the user data retrieved from the database, and based on this, it generates a prompt for the generative AI model. Specifically, it creates a prompt such as "Please generate guidelines for Japanese tourists who have traditional Japanese customs."

[0128] Step 4:

[0129] The server provides the generated prompt sentences to the generative AI model, which then collects information about tourists' cultures and customs from reliable sources on the Internet based on the input prompt sentences and generates tourist guidelines. The generated guidelines are then sent back to the server as output.

[0130] Step 5:

[0131] The server organizes the generated tourist guideline, converts it into a standard format (e.g. PDF or HTML format) and saves it. This format conversion requires data calculations to adjust it to the appropriate format.

[0132] Step 6:

[0133] The server uploads the organized guidelines to the information system. At this point, the input is the formatted guidelines, and the uploaded guidelines are output. Travel-related companies and local guides can access the information system using their terminals and download and use the relevant guidelines.

[0134] Step 7:

[0135] During their trip, users receive real-time support using a dedicated smartphone app. By entering a question into the app and pressing the send button, the question is sent from the device to the server. For example, a user can ask about tipping practices in American restaurants.

[0136] Step 8:

[0137] The server receives the question and issues processing instructions to the generative AI model, which analyzes the input question and generates an appropriate answer (e.g., "In American restaurants, it is customary to leave a tip of 15% to 20%). This answer is then sent back to the server as output.

[0138] Step 9:

[0139] The server receives the generated answer and sends it back to the device, where the user can instantly view the answer in the app and use it to guide their travel plans. This final step resolves the user's question and improves their travel experience.

[0140] (Application example 1)

[0141] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0142] International travel and food delivery services are on the rise, but travelers often lack sufficient information about food customs and delivery methods in other cultures. As a result, travelers can experience various inconveniences and misunderstandings when dining out or using delivery services. They must adapt to cultural differences, particularly tipping practices and religious dietary restrictions. It is necessary to resolve these issues and provide travelers with a more comfortable and smooth delivery service.

[0143] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0144] In this invention, the server includes means for collecting information on the culture and customs of tourists, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel management personnel and local experts, means for generating answers in real time to questions from tourists during their trip, means for generating guidelines on food and delivery services based on the cultural background of the tourists, and means for providing the generated guidelines to the tourists. This enables travelers to receive accurate guidelines on how to use food and drink information and services appropriate for their cultural background, reducing inconvenience and misunderstandings regarding the use of local meals and delivery services and achieving a more satisfying travel experience.

[0145] A "tourist" is an individual who visits a particular region or country for the purpose of travel or tourism.

[0146] "Culture and customs" are the set of social, religious, or everyday behaviors and beliefs shared by people in a particular country or region.

[0147] "Tourism guidelines" are guides and advice for tourists to have a comfortable stay in the region or country they visit.

[0148] "Travel management personnel" are people who plan and manage trips at travel agencies, tour operators, etc.

[0149] "Local experts" are local people or guides with specific knowledge and experience of the tourist destination or its surroundings.

[0150] "Questions" are questions that tourists ask to seek information about questions or concerns they have while traveling.

[0151] "Means for generating answers in real time" refers to technologies and methods that generate and provide appropriate information immediately when tourists ask questions.

[0152] "Food and delivery service guidelines" refers to instructions and advice on local food culture and how to use delivery services.

[0153] The "means for providing the guidelines" refers to the methods and techniques for actually providing the generated guidelines to tourists.

[0154] A "server" is a computer system for processing, storing, and transmitting data over a network.

[0155] The system for implementing this invention includes a series of processes for collecting information on the culture and customs of tourists and generating tourist guidelines based on that information. This will be explained in detail below.

[0156] Components

[0157] 1. Server

[0158] The server is responsible for all data processing and information provision. The server is equipped with the following means:

[0159] Data collection method: Collect information such as tourist's name, nationality, cultural background, etc.

[0160] Database: Stores collected user information.

[0161] Generative AI: Generates guidelines for food and delivery services based on tourists' cultural backgrounds.

[0162] Portal site: Operate a web portal to provide the generated guidelines to travel management personnel and local experts.

[0163] 2. Device (smartphone app)

[0164] The terminal is a device used by tourists and travel management personnel to receive guidelines and support provided by the server. The terminal includes an interface for submitting questions and inquiries in real time and an interface for displaying answers from the server.

[0165] 3. Users

[0166] Users are tourists who access the system to receive guidelines and assistance based on their own culture and customs.

[0167] Program processing explanation

[0168] Initial Setup and User Data Collection

[0169] When a user accesses the application for the first time, an initial setup screen is displayed. Here, the user enters their name, nationality, cultural background, etc. Then, by pressing the submit button, the information is sent to the server. The server receives this data and stores it in a database.

[0170] Data analysis and guideline generation

[0171] The server retrieves user data from the database and provides it to the AI ​​generator, which then generates guidelines for food and delivery services based on detailed information about the tourist's culture and customs. These guidelines are then organized on the server and converted into a format that tourists can use.

[0172] Sharing and providing information

[0173] The server uploads the generated guidelines to a portal site, where travel management personnel and local experts can log in and download the guidelines relevant to a specific tourist.

[0174] Real-time Support

[0175] During their trip, tourists can receive real-time support through the app. By entering a question on the app and pressing the send button, the question is sent to the server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question, generates an appropriate answer, and sends it back to the user's device via the server. The user can immediately check the answer on the app.

[0176] Specific examples

[0177] For example, consider the case of a Japanese tourist staying in the United States. The tourist enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits the data. The server acquires this data and provides it to the generation AI. The generation AI generates guidelines for the United States based on information based on Japanese culture and customs. For example, these guidelines include tips on tipping practices at local restaurants and cultural considerations regarding meals. This allows the tourist to use local delivery services with peace of mind.

[0178] Example prompt sentence:

[0179] 1. Initial User Information Settings:

[0180] Name: Taro, Nationality: Japanese, Cultural Background: Traditional Japanese Customs

[0181] 2. Food recommendation request:

[0182] User ID: user123

[0183] 3. Request guidelines:

[0184] Q: What is the tipping custom at local restaurants?

[0185] This system will enable travelers to receive information and support appropriate to their cultural background, reducing inconvenience and misunderstandings while on-site and allowing them to enjoy a comfortable travel experience.

[0186] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0187] Step 1:

[0188] The user launches the smartphone app and accesses the initial setup screen.

[0189] Input: Information such as the user's name, nationality, and cultural background.

[0190] Specific operation: The user enters the required information into the form displayed in the app and presses the submit button, which causes the app to send the entered information to the server.

[0191] Output: The user information sent to the server.

[0192] Step 2:

[0193] The server stores the received user information in a database.

[0194] Input: User information submitted in step 1.

[0195] Specific operation: The server analyzes the received data and stores each field (name, nationality, cultural background) in a database.

[0196] Output: User information stored in the database.

[0197] Step 3:

[0198] The server retrieves user data from the database and provides it to the generation AI.

[0199] Input: User information in the database.

[0200] Specific operation: The server extracts data associated with a specific user ID from the database and passes it to the generation AI.

[0201] Output: User data provided to the generative AI.

[0202] Step 4:

[0203] Generative AI generates tourist guidelines based on the user's cultural background.

[0204] Input: User data provided by the server.

[0205] How it works: The generative AI collects additional information from reliable sources on the internet and generates tourism guidelines based on that information.

[0206] Output: Generated tourism guidelines.

[0207] Step 5:

[0208] The server organizes the generated tourist guidelines and converts them into a usable format.

[0209] Input: Tourist guidelines output from the generative AI.

[0210] Specific operation: The server checks the contents of the guidelines and converts them into a format that is easy for users to use (e.g., PDF or web page).

[0211] Output: Guidelines converted into a usable format.

[0212] Step 6:

[0213] The server uploads the generated tourist guideline to a portal site.

[0214] Input: Guidelines converted into a usable format.

[0215] What it does: The server uploads the guidelines to a portal site where they can be accessed by travel management personnel and local experts.

[0216] Output: Guidelines uploaded to the portal.

[0217] Step 7:

[0218] During the trip, users receive real-time support via a smartphone app.

[0219] Input: The user's question.

[0220] Specific operation: The user enters a question in the question field within the app and sends it to the server.

[0221] Output: The question sent to the server.

[0222] Step 8:

[0223] The server receives the question and issues processing instructions to the generation AI.

[0224] Input: The question submitted by the user.

[0225] Specific operation: The server analyzes the received question and sends an appropriate prompt to the generation AI.

[0226] Output: The prompt sent to the generation AI.

[0227] Step 9:

[0228] The generative AI analyzes the question and generates an appropriate answer.

[0229] Input: The prompt sent to the generation AI.

[0230] Specific operation: The generative AI analyzes the question based on the prompt text, collects the necessary information from reliable sources on the Internet, and generates an answer.

[0231] Output: The generated answer.

[0232] Step 10:

[0233] The server sends the generated response to the terminal.

[0234] Input: The answer output by the generation AI.

[0235] Specific operation: The server checks the generated answer and sends it to the user's device.

[0236] Output: The answer displayed on the user's terminal.

[0237] This process allows tourists to receive timely cultural and customary guidelines and appropriate support during their trip, reducing inconvenience and misunderstandings while on-site and ensuring a comfortable travel experience.

[0238] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0239] System Overview

[0240] This invention combines a system that collects information on tourists' cultures and customs, generates tourism guidelines based on that information, and provides them with an emotion engine. The system aims to promote smooth communication between tourists, travel agencies, and local experts, thereby improving tourist satisfaction.

[0241] Initial Setup and User Data Collection

[0242] When a user accesses the system for the first time, an initial setup screen is displayed. A form for entering the user's name, nationality, and cultural background is displayed on the terminal. The user enters this information and presses the send button. The terminal sends the entered information to the server. The server stores the received information in a database.

[0243] Data analysis and information provision using generative AI

[0244] The server retrieves user data from the database and provides it to the generation AI. The generation AI then collects further detailed information about the tourist's culture and customs from reliable sources on the Internet. Based on this collected information, the generation AI generates guidelines tailored to the tourist's culture. The server then organizes the generated guidelines and converts them into a format that can be used by travel guides and tour guides, and stores them.

[0245] Sharing information and providing guidelines

[0246] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Terminals (devices of travel agencies and local experts) log in to the portal site and download and use the guidelines related to specific tourists.

[0247] Travel support and emotional engine

[0248] Users (tourists) can receive real-time support during their trip through a dedicated smartphone app. The user enters a question into the app and presses the send button. The device then sends the information to the server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question and generates an appropriate answer.

[0249] Introducing the Emotion Engine

[0250] The system is equipped with an emotion engine that recognizes tourists' emotions. The device analyzes the tourists' facial expressions, voice, and input text in real time and sends the results to the emotion engine. The emotion engine recognizes the tourists' emotions and adjusts the generated tourism guidelines and real-time responses based on that information. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate a response that provides reassurance.

[0251] Specific examples

[0252] For example, when a Japanese tourist travels to the United States, the following process takes place: The user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include things like tipping customs in American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[0253] Furthermore, this system is equipped with an emotion engine that recognizes the emotions of tourists. The device (Japanese tourist's smartphone) analyzes the tourist's facial expressions and voice to recognize the tourist's emotions. For example, if the emotion engine recognizes the anxiety a user feels when they are unsure where to find a restaurant, it generates a reassuring response and sends it to the device via the server. The user can receive appropriate guidance on the app, alleviating their anxiety.

[0254] In this way, the present invention provides a system that facilitates communication between tourists, travel agencies, and local experts, and provides attentive support that takes emotions into consideration, thereby enabling travelers to have a more satisfying experience.

[0255] The processing flow will be explained below.

[0256] Step 1:

[0257] A user accesses the system and the initial setup screen is displayed.

[0258] Step 2:

[0259] The terminal displays a form for entering the user's name, nationality, and cultural background.

[0260] Step 3:

[0261] The user enters the required information into the form and presses the submit button.

[0262] Step 4:

[0263] The terminal transmits the input information to the server.

[0264] Step 5:

[0265] The server stores the received information in a database.

[0266] Step 6:

[0267] The server retrieves user data from the database and provides it to the generation AI.

[0268] Step 7:

[0269] Generative AI gathers detailed information about a user's culture and customs from trusted sources on the internet.

[0270] Step 8:

[0271] The generative AI generates tourism guidelines based on the collected information.

[0272] Step 9:

[0273] The server organizes the generated tourist guidelines, converts them into a format that can be used by travel guides and tour guides, and stores them.

[0274] Step 10:

[0275] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts.

[0276] Step 11:

[0277] Terminals (devices of travel agencies or local experts) log in to the portal site and search for and download tourism guidelines.

[0278] Step 12:

[0279] While traveling, users launch a dedicated smartphone app, enter a question on the app, and press the send button.

[0280] Step 13:

[0281] The terminal (user's smartphone) sends the question to the server.

[0282] Step 14:

[0283] The server receives the question and issues processing instructions to the generating AI.

[0284] Step 15:

[0285] The generative AI analyzes the question and generates an appropriate answer.

[0286] Step 16:

[0287] The server sends the generated answer to the user's terminal.

[0288] Step 17:

[0289] The terminal (user's smartphone) displays the answers, which the user can check in real time.

[0290] Step 18:

[0291] The device (user's smartphone) transmits the tourist's facial expressions and voice to the emotion engine, which analyzes this data in real time.

[0292] Step 19:

[0293] The emotion engine recognizes the tourist's emotional state, for example, extracting information if the user is feeling anxious.

[0294] Step 20:

[0295] The emotion engine sends the recognized emotion information to the generation AI.

[0296] Step 21:

[0297] The generative AI adjusts tourism guidelines and real-time answers based on emotional information, generating more appropriate answers.

[0298] Step 22:

[0299] The server sends the tailored response to the user's terminal.

[0300] Step 23:

[0301] The device (user's smartphone) displays the adjusted answer, giving the user a sense of security.

[0302] In this way, the system can provide detailed support through real-time sentiment analysis, as well as provide guidelines that take into account tourists' culture and customs.

[0303] Example 2

[0304] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0305] Tourists often have concerns about culture and customs in foreign countries, and providing appropriate information to alleviate these concerns is essential. Tourists also need real-time support during their trips, particularly detailed responses tailored to their emotional state. Conventional systems lack the functionality to provide information that takes into account the emotional state of tourists, making it difficult to improve satisfaction with the tourist experience.

[0306] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting information on the culture and customs of tourists, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel agencies and local experts, means for generating answers in real time to questions asked by tourists during their trip, means for recognizing the emotional state of the tourists, and means for adjusting the guidelines and answers based on the recognized emotional state. This allows tourists to obtain appropriate information on culture and customs, and also enables them to receive support in real time for their questions and in accordance with their emotional state.

[0307] "Tourists" refer to people who visit a destination and enjoy the local attractions and culture.

[0308] "Culture and customs" is a general term that includes the customs, beliefs, social rules, and lifestyles of a particular region or country.

[0309] "Information collection means" refers to methods and devices that obtain data from tourist input or reliable sources on the Internet.

[0310] "Means for generating tourist guidelines" refers to methods or software for generating instructions and advice for tourists based on the collected information.

[0311] "Means for providing the generated tourism guidelines" refers to the methods and systems for transferring and sharing the generated guidelines with travel agencies and local experts.

[0312] "Means for generating answers in real time" refers to a method or system for generating and providing instantaneous responses to questions from tourists.

[0313] "Means for recognizing emotional states" refers to methods and technologies for analyzing and identifying emotions from tourists' facial expressions, voice, input text, etc.

[0314] "Means for adjusting guidelines and responses" refers to methods and software for modifying and changing the content to best suit the tourist based on the perceived emotional state.

[0315] "Server" refers to a computer system for storing, processing, and transmitting data.

[0316] "Device" refers to the device (smartphone, tablet, PC, etc.) used by tourists, travel agencies, and local experts to input and receive information.

[0317] "Database" refers to the system for storing and managing tourist information, generated guidelines, questions and answers.

[0318] This invention combines an emotion engine with a system that collects information on tourists' cultures and customs, generates tourism guidelines based on that information, and provides them to tourists. The system aims to promote smooth communication between tourists, travel agencies, and local experts, thereby improving tourist satisfaction.

[0319] Initial Setup and User Data Collection

[0320] When a user first accesses the system, an initial setup screen is displayed. The terminal displays a form for entering the user's name, nationality, and cultural background. The user enters this information and presses the submit button. The terminal sends the entered information to the server using an HTTP POST request. The server stores the received information in a database using an SQL query.

[0321] Data analysis and information provision using generative AI

[0322] The server retrieves user data from the database using a SQL SELECT query. Based on this user data, the server generates a prompt to be provided to the generative AI model. The generated prompt has the following format:

[0323] "This tourist has a Japanese cultural background and is visiting the United States. Please provide the best guidelines for Japanese tourists. For example, please include how to pay tips at local restaurants and things to be aware of when traveling. Also, please provide some reassuring advice that takes into consideration the feelings of tourists."

[0324] The generative AI model gathers detailed information about tourists' cultures and customs from reliable sources on the Internet based on the provided prompt, and generates appropriate guidelines based on that information. The server organizes the generated guidelines, converts them into a specific format (e.g., PDF or HTML), and saves them.

[0325] Sharing information and providing guidelines

[0326] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Specifically, the guideline files are saved in a specific directory on the server, and the URL is linked to the portal site. Travel agencies and local experts can log in to the portal site and download and use the guidelines related to specific tourists.

[0327] Travel support and emotional engine

[0328] Users (tourists) can receive real-time support during their trip through a dedicated smartphone app. The user enters a question on the app and presses the send button. The device sends this question to the server using an HTTP POST request. The server converts the question content into a prompt sentence to be provided to the generative AI model and issues processing instructions to the generative AI model. The generative AI model analyzes the question content and generates an appropriate answer based on that. The server sends the generated answer back to the device, and the device displays the received answer to the user.

[0329] Introducing the Emotion Engine

[0330] The system is equipped with an emotion engine, and the device analyzes the tourist's facial expressions, voice, and input text in real time, sending the results to the emotion engine. The emotion engine recognizes the tourist's emotions and uses that information to adjust the generated tourism guidelines and real-time responses. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate a response that provides reassurance.

[0331] Specific examples

[0332] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generative AI model. The generative AI model collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note regarding common travel issues that Japanese people may encounter. In addition, the emotion engine recognizes the tourist's emotions and provides appropriate advice, including words of comfort and encouragement, if the tourist feels anxious.

[0333] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0334] Step 1:

[0335] When a user accesses the initial setup screen, a form for entering the user's name, nationality, and cultural background is displayed on the terminal. The user enters this information and presses the submit button. As input, the user enters their name ("Yamada Taro"), nationality ("Japan"), and cultural background ("Traditional Japanese Customs"). The terminal sends this input data to the server using an HTTP POST request.

[0336] Step 2:

[0337] The server receives the user data sent from the device and stores it in a database. The server uses an SQL query to execute commands such as "INSERT INTO user_data (name, nationality, cultural_background) VALUES ("Yamada Taro", "Japan", "Traditional Japanese Customs")". As an output, a new record is added to the database and the user information is stored.

[0338] Step 3:

[0339] The server retrieves user data from the database. It uses an SQL SELECT query, executing a command like "SELECT FROM user_data WHERE name = 'Yamada Taro'". As input, it sets the search criteria based on the user's name. As output, it retrieves the data related to that particular user.

[0340] Step 4:

[0341] The server generates a prompt for the generative AI model based on the acquired user data. The server creates a prompt like this: "This tourist has a Japanese cultural background and is visiting the United States. Please provide the best guidelines for Japanese tourists." Using the user data (name, nationality, cultural background) as input, the server sends the generated prompt to the generative AI model.

[0342] Step 5:

[0343] The generative AI model gathers detailed information based on the provided prompt text and generates tourism guidelines. It uses the prompt text as input and collects data from reliable sources on the internet. The output is tourism guidelines, such as "tipping customs in American restaurants and travel precautions for Japanese people."

[0344] Step 6:

[0345] The server converts the generated tourism guidelines into an appropriate format (e.g., PDF or HTML) and saves them. The server uses format conversion libraries and tools to format the guidelines obtained from the generative AI model. Using the generated guidelines as input, a formatted guideline file is created as output.

[0346] Step 7:

[0347] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Specifically, the file is saved in a specific directory on the server and its URL is linked to the portal site. The generated guideline file is used as input, and the uploaded URL is generated as output.

[0348] Step 8:

[0349] The terminals of travel agencies and local experts log in to the portal site to download the guidelines related to a specific tourist. After authentication using a username and password, the necessary guidelines are obtained. The portal site URL is used as input, and the guideline file is downloaded to the terminal as output.

[0350] Step 9:

[0351] During their trip, users receive real-time support through a dedicated smartphone app. The user enters a question into the app and presses the send button. The user's question (e.g., "I don't know how to order at a restaurant") is entered as input, and the device sends this information to the server using an HTTP POST request.

[0352] Step 10:

[0353] The server receives questions from users and converts them into appropriate prompts for the generative AI model. Using the user question as input, it generates prompts such as, "Please tell me the question in Japanese. Please generate an appropriate answer taking into account the cultural background of the tourist." As output, a prompt is generated to be provided to the generative AI model.

[0354] Step 11:

[0355] The generative AI model analyzes the question and generates an appropriate answer based on it. It uses the prompt received as input and generates an appropriate answer as output. For example, it generates an answer like, "Please explain how to order in English in a simple way at a restaurant."

[0356] Step 12:

[0357] The server returns the generated answer to the terminal. It uses the generated answer as input and sends it to the terminal as an HTTP response. As output, it returns the answer data that the terminal receives.

[0358] Step 13:

[0359] The device displays the received answers to the user, who can then check the appropriate answers on the app and receive support during their trip.The answer data received from the server is used as input, and is displayed on the app screen as output.

[0360] Step 14:

[0361] The terminal analyzes the tourist's facial expressions, voice, input text, etc. and sends them to the emotion engine. It monitors the tourist's emotional state in real time and sends the analyzed data to the emotion engine. It uses the tourist's emotional data as input and generates data that is sent to the emotion engine as output.

[0362] Step 15:

[0363] The emotion engine recognizes tourists' emotions and adjusts the generated tourism guidelines and real-time answers based on that information. It uses the emotion data sent as input and generates adjusted guidelines and answers as output. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate guidelines and answers that provide reassurance.

[0364] (Application example 2)

[0365] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0366] There are problems with tourists understanding local culture and customs and communicating smoothly at their travel destinations. It is also difficult to get appropriate answers to questions in real time while traveling. Furthermore, there is a lack of means to recognize tourists' emotions and provide detailed support according to the situation, which is likely to result in a decrease in tourist satisfaction.

[0367] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting information on tourists' cultures and customs, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel agencies and local experts, means for generating answers in real time to questions asked by tourists during their trip, means for recognizing tourists' emotions, and means for adjusting the guidelines and answers based on the tourists' emotions. This makes it easier for tourists to understand local cultures and customs, allows them to receive appropriate answers in real time, and enables them to receive detailed support tailored to their emotions.

[0368] "Means for collecting information on tourists' culture and customs" refers to devices or systems that have the function of obtaining data related to the cultural background and customs of tourists based on information entered by the tourists.

[0369] A "means for generating tourism guidelines" is a device or system that has the function of creating guidelines containing necessary information and precautions for tourists at their travel destinations based on collected information on culture and customs.

[0370] The "means for providing the generated tourism guidelines to travel agencies and local experts" refers to a portal site or system that allows travel agencies and local tourist guides to access the generated tourism guidelines.

[0371] A "means for generating answers in real time to questions from tourists during their trip" is a device or system that has the function of instantly receiving inquiries from tourists and automatically generating and providing appropriate answers to those inquiries.

[0372] A "means for recognizing tourist emotions" is a device or system that has the function of analyzing the facial expressions, voices, and text input by tourists to identify their emotional state.

[0373] "Means for adjusting guidelines and answers based on tourists' emotions" refers to a device or system that has the function of automatically changing and adjusting the guidelines and answers provided in accordance with the recognized emotional state of tourists.

[0374] This system generates guidelines based on the culture and customs of tourists and responds to their questions in real time. Furthermore, it incorporates an emotion engine to provide answers and guidelines that reflect the tourists' emotions, thereby enhancing the tourist experience.

[0375] System Overview

[0376] This system mainly consists of the following components:

[0377] 1. Means of collecting information about tourists' culture and customs:

[0378] Data on cultural background and customs is collected based on information entered by users (tourists).

[0379] Users enter their name, nationality, and cultural background through a smartphone app.

[0380] 2. Means of generating tourism guidelines:

[0381] Based on the collected information, the generative AI generates tourism guidelines.

[0382] The server receives the information and creates tourist guidelines using a generation AI.

[0383] 3. Means of providing the generated tourism guidelines:

[0384] The generated guidelines are uploaded to a portal site that can be accessed by travel agencies and local experts.

[0385] Travel agents and local experts log into the portal and download relevant guidelines for specific tourists.

[0386] 4. Real-time answer generation methods:

[0387] It receives user (tourist) questions in real time and generates and provides appropriate answers.

[0388] Users input questions via a smartphone app, and the server generates answers using generative AI.

[0389] 5. Means of recognizing tourists' emotions:

[0390] It analyzes the user's facial expressions, voice, and input text to recognize emotions.

[0391] The smartphone analyzes emotions using an emotion engine.

[0392] 6. How to adjust guidelines and responses based on emotions:

[0393] Based on the recognized emotional information, the generative AI adjusts the guidelines and response content.

[0394] The server sends guidelines and answers based on the generated emotions to the user's device.

[0395] Hardware and Software

[0396] Hardware: smartphones, servers, databases.

[0397] Software: Created smartphone apps, generative AI models, emotion engines, and portal sites.

[0398] Specific examples

[0399] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI then collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[0400] Furthermore, this system is equipped with an emotion engine that recognizes the emotions of tourists. The device (Japanese tourist's smartphone) analyzes the tourist's facial expressions and voice to recognize the tourist's emotions. For example, if the emotion engine recognizes the anxiety a user feels when they are unsure where to find a restaurant, it generates a reassuring response and sends it to the device via the server. The user can receive appropriate guidance on the app, alleviating their anxiety.

[0401] Prompt Sentence Examples

[0402] Prompt statement:

[0403] "Username: Taro, Nationality: Japanese, Cultural background: Traditional Japanese customs, Travel destination: America"

[0404] "Generate cultural guidelines that Japanese tourists should know about in the United States."

[0405] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0406] Step 1:

[0407] The user (tourist) initializes the smartphone app. The user inputs information such as their name, nationality, and cultural background, and submits it. This information is sent from the device to the server. The input data includes the user's name, nationality, and cultural background. The server receives this and stores it in a database.

[0408] Step 2:

[0409] The server provides the received user data to the generation AI. The server then sends a prompt to the generation AI to generate tourism guidelines that suit the user's culture and customs. Specifically, data such as "User name: Taro, Nationality: Japan, Cultural background: Traditional Japanese customs, Travel destination: America" ​​is sent. Based on this data, the generation AI generates tourism guidelines that suit the user's travel destination.

[0410] Step 3:

[0411] The server organizes the tourist guidelines received from the AI ​​generator, converts them into a format that can be used by travel guides and tour guides, and stores them in a database. The generated guidelines include specific tourist information tailored to the user's cultural background (e.g., tipping practices in American restaurants).

[0412] Step 4:

[0413] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Travel agencies and local experts log in to this portal site on their devices and download and use the guidelines related to specific tourists. After uploading, the guidelines are provided in a format (e.g., PDF format) that is easily accessible to travel agencies and local guides.

[0414] Step 5:

[0415] While traveling, users input questions through a smartphone app. The device then sends the question data to a server. The questions include specific questions (e.g., "How much should I tip at restaurants in the United States?"). The server receives the question data and issues processing instructions to the AI.

[0416] Step 6:

[0417] The server uses a generation AI to analyze the user's question and generate an appropriate answer. The generation AI generates an appropriate answer from the input question and returns the result to the server. The analysis results of the generation AI include a specific answer to the user's question (e.g., "In America, a tip of 15-20% of the meal price is generally appropriate.").

[0418] Step 7:

[0419] The server receives the answer from the AI ​​generator and sends it to the device. The device displays the received answer to the user. The user can check the answer generated by the AI ​​generator in real time on the smartphone app.

[0420] Step 8:

[0421] The device analyzes the tourist's facial expressions, voice, input text, etc. in real time and sends the data to the emotion engine. For example, if a user inputs a question with an anxious expression or voice, the data is sent to the emotion engine. The emotion engine analyzes this data and recognizes the tourist's emotional state.

[0422] Step 9:

[0423] Based on the emotion data from the emotion engine, the server instructs the generation AI to adjust guidelines and responses according to the emotion. The generation AI uses the emotion data to generate responses that will reassure tourists. For example, if anxiety is recognized, it generates a response that gives a sense of security.

[0424] Step 10:

[0425] The server sends the adjusted guidelines and answers to the device, which receives them and displays them to the user. This allows users to receive detailed support in real time according to their emotional state.

[0426] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0427] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0428] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0429] [Second embodiment]

[0430] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0431] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0432] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0433] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0434] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0435] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0436] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0437] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0438] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0439] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0440] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0441] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0442] System Overview

[0443] This invention is a system that collects information on tourists' cultures and customs, and generates and provides tourism guidelines based on that information. The system aims to promote smooth communication between tourists, travel agencies, and local experts, and to provide a more satisfying travel experience.

[0444] Initial Setup and User Data Collection

[0445] When a user accesses this system, an initial setup screen is displayed first. A form for entering the user's name, nationality, cultural background, etc. is displayed on the terminal. After the user enters this information and presses the send button, the terminal sends the input data to the server. The server stores the received data in a database.

[0446] Data analysis and information provision using generative AI

[0447] The server retrieves user data from the database and provides it to the generation AI. The generation AI then collects further detailed information about the tourist's culture and customs from reliable sources on the Internet. Based on this collected information, the generation AI generates guidelines tailored to the tourist's culture. The server then organizes the generated guidelines, converts them into a format that can be used by travel guides and tour guides, and saves them.

[0448] Sharing information and providing guidelines

[0449] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Terminals (devices of travel agencies and local experts) log in to the portal site and download and use the guidelines related to specific tourists.

[0450] Travel support

[0451] While traveling, users (tourists) can receive real-time support through a dedicated smartphone app. Users enter a question on the app and press the send button, which sends the question to a server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question, generates an appropriate answer, and sends it back to the device via the server. On the device, travelers can instantly check the answer on the app.

[0452] Specific examples

[0453] For example, consider the case of a Japanese tourist traveling to the United States. The user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits in American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[0454] The server uploads these guidelines to a portal site, and devices (American travel agencies and tour guides) download and use the guidelines from the portal site. While traveling, users (Japanese tourists) input questions about "tipping customs at local restaurants" through the app. The server receives the question, and the AI ​​generator generates an answer - "It is customary to give a 15% to 20% tip at American restaurants" - and sends it back to the device. Users can check this answer on the app and use it to guide their actions at their travel destination.

[0455] In this way, the present invention provides a system that facilitates communication between tourists, travel agencies, and local experts, resulting in a more satisfying travel experience.

[0456] The processing flow will be explained below.

[0457] Step 1:

[0458] A user accesses the system and the initial setup screen is displayed.

[0459] Step 2:

[0460] The device displays a form for entering the user's name, nationality, and cultural background.

[0461] Step 3:

[0462] The user enters the required information into the form and presses the submit button.

[0463] Step 4:

[0464] The terminal transmits the input information to the server.

[0465] Step 5:

[0466] The server stores the received information in a database.

[0467] Step 6:

[0468] The server retrieves user data from the database and provides it to the generation AI.

[0469] Step 7:

[0470] Generative AI gathers detailed information about a user's culture and customs from trusted sources on the internet.

[0471] Step 8:

[0472] The generative AI generates tourism guidelines based on the collected information.

[0473] Step 9:

[0474] The server organizes the generated tourist guidelines, converts them into a format that can be used by travel guides and tour guides, and stores them.

[0475] Step 10:

[0476] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts.

[0477] Step 11:

[0478] The terminal (travel agency or local expert) logs in to the portal site and searches for and downloads tourism guidelines.

[0479] Step 12:

[0480] While traveling, users launch a dedicated smartphone app, enter their questions, and send them.

[0481] Step 13:

[0482] The terminal sends a query to the server.

[0483] Step 14:

[0484] The server receives the question and issues processing instructions to the generating AI.

[0485] Step 15:

[0486] The generative AI analyzes the question and generates an appropriate answer.

[0487] Step 16:

[0488] The server sends the generated answer to the user's terminal.

[0489] Step 17:

[0490] The terminal displays the answer, and the user can check the answer in real time.

[0491] Example 1

[0492] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0493] Conventional methods of providing tourism guidelines have difficulty adapting to the diverse cultures and customs of tourists, making it impossible to provide optimal guidelines for individual tourists. Furthermore, there was a lack of ways for tourists to ask questions in real time and receive appropriate answers while traveling, making it impossible to provide a satisfying travel experience.

[0494] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0495] In this invention, the server includes a means for collecting tourist attribute information, a means for using a generative AI model to generate tourist guidelines based on the collected information, and a means for providing the generated tourist guidelines to travel-related companies and local guides. This makes it possible to provide customized guidelines according to the culture and customs of each tourist, and to provide appropriate answers in real time to questions from tourists during their trip.

[0496] "Tourists" are people who visit a particular area for the purpose of sightseeing.

[0497] "Attribute information" refers to personal information such as tourists' names, nationalities, and cultural backgrounds.

[0498] A "generative AI model" refers to an artificial intelligence system that analyzes data and generates information based on collected attribute information.

[0499] "Travel-related companies" refers to companies and organizations that handle travel services, including travel agencies and tour operators.

[0500] A "local guide" refers to a professional who provides guidance and support to tourists at tourist destinations.

[0501] "Information provision system" refers to an online platform that provides generated guidelines and information in a form that can be accessed by travel-related companies and local guides.

[0502] "Database" refers to a digital information management system for storing tourist input information and generated guidelines.

[0503] "Real time" refers to providing actions and information in accordance with the current time.

[0504] This invention is a system for generating and providing tourism guidelines tailored to the culture and customs of tourists. The system facilitates communication between tourists, travel-related companies, and local guides, and provides real-time support during travel.

[0505] System Overview

[0506] Initial Setup and User Data Collection

[0507] When a user accesses the system, an initial setup screen is displayed. The terminal displays a form for entering the user's name, nationality, cultural background, etc. The user enters this information and presses the send button. The electronic device (terminal) can be a personal computer or smartphone. The terminal sends the input data to the server, and the server stores the received data in a database.

[0508] Data analysis and information provision using generative AI

[0509] The server retrieves user data from the database and provides it to a generative AI model. The generative AI model then collects information about the tourist's culture and customs from reliable sources on the Internet and generates guidelines tailored to the tourist's culture. Generative AI models such as GPT-3 and ChatGPT are used. The server then organizes the generated guidelines, converts them into a standard format, and saves them.

[0510] Sharing information and providing guidelines

[0511] The server uploads the generated tourist guidelines to an information system that can be accessed by travel-related companies and local guides. Terminals (devices of travel-related companies and local guides) can log in to the information system and download and use the guidelines related to specific tourists.

[0512] Travel support

[0513] During their trip, users (tourists) can receive real-time support through a dedicated smartphone app. When a user enters a question on the app and presses the send button, the question is sent to a server. The server receives the question and issues processing instructions to a generative AI model. The generative AI model analyzes the content of the question, generates an appropriate answer, and sends it back to the device via the server. The user can instantly check the answer on the app.

[0514] Specific examples

[0515] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generative AI model. The generative AI model collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note about common travel troubles that Japanese people may encounter. The server uploads these guidelines to an information system, and devices (American travel-related companies and tour guides) download and use the guidelines from the information system.

[0516] While traveling, users (Japanese tourists) input questions about "tipping customs at local restaurants" through the app. The server receives the question, and the generative AI model generates an answer: "It is customary to give a 15% to 20% tip at American restaurants," which is sent back to the device. Users can then check this answer on the app and use it to guide their travels.

[0517] Prompt Sentence Examples

[0518] Example prompt for a generative AI model:

[0519] "Generate guidelines for Japanese tourists traveling in the United States. Consider the following information: Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs."

[0520] In this way, the invention facilitates communication between tourists, travel-related businesses, and local guides, helping travelers have a more satisfying experience.

[0521] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0522] Step 1:

[0523] When a user accesses the system, the terminal displays an initial setup screen. This screen contains a form for entering the user's name, nationality, and cultural background. The user enters this information and presses the submit button. The entered data is name (e.g., "Yamada Taro"), nationality (e.g., "Japan"), and cultural background (e.g., "Traditional Japanese Customs").

[0524] Step 2:

[0525] The terminal sends the information entered by the user to the server, which stores the received data in a database. The input is user data, specifically information such as "Yamada Taro, Japan, traditional Japanese customs." This data is then processed to store accurately in the database.

[0526] Step 3:

[0527] The server retrieves the stored user data from the database. The input is the user data retrieved from the database, and based on this, it generates a prompt for the generative AI model. Specifically, it creates a prompt such as "Please generate guidelines for Japanese tourists who have traditional Japanese customs."

[0528] Step 4:

[0529] The server provides the generated prompt sentences to the generative AI model, which then collects information about tourists' cultures and customs from reliable sources on the Internet based on the input prompt sentences and generates tourist guidelines. The generated guidelines are then sent back to the server as output.

[0530] Step 5:

[0531] The server organizes the generated tourist guideline, converts it into a standard format (e.g. PDF or HTML format) and saves it. This format conversion requires data calculations to adjust it to the appropriate format.

[0532] Step 6:

[0533] The server uploads the organized guidelines to the information system. At this point, the input is the formatted guidelines, and the uploaded guidelines are output. Travel-related companies and local guides can access the information system using their terminals and download and use the relevant guidelines.

[0534] Step 7:

[0535] During their trip, users receive real-time support using a dedicated smartphone app. By entering a question into the app and pressing the send button, the question is sent from the device to the server. For example, a user can ask about tipping practices in American restaurants.

[0536] Step 8:

[0537] The server receives the question and issues processing instructions to the generative AI model, which analyzes the input question and generates an appropriate answer (e.g., "In American restaurants, it is customary to leave a tip of 15% to 20%). This answer is then sent back to the server as output.

[0538] Step 9:

[0539] The server receives the generated answer and sends it back to the device, where the user can instantly view the answer in the app and use it to guide their travel plans. This final step resolves the user's question and improves their travel experience.

[0540] (Application example 1)

[0541] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0542] International travel and food delivery services are on the rise, but travelers often lack sufficient information about food customs and delivery methods in other cultures. As a result, travelers can experience various inconveniences and misunderstandings when dining out or using delivery services. They must adapt to cultural differences, particularly tipping practices and religious dietary restrictions. It is necessary to resolve these issues and provide travelers with a more comfortable and smooth delivery service.

[0543] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0544] In this invention, the server includes means for collecting information on the culture and customs of tourists, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel management personnel and local experts, means for generating answers in real time to questions from tourists during their trip, means for generating guidelines on food and delivery services based on the cultural background of the tourists, and means for providing the generated guidelines to the tourists. This enables travelers to receive accurate guidelines on how to use food and drink information and services appropriate for their cultural background, reducing inconvenience and misunderstandings regarding the use of local meals and delivery services and achieving a more satisfying travel experience.

[0545] A "tourist" is an individual who visits a particular region or country for the purpose of travel or tourism.

[0546] "Culture and customs" are the set of social, religious, or everyday behaviors and beliefs shared by people in a particular country or region.

[0547] "Tourism guidelines" are guides and advice for tourists to have a comfortable stay in the region or country they visit.

[0548] "Travel management personnel" are people who plan and manage trips at travel agencies, tour operators, etc.

[0549] "Local experts" are local people or guides with specific knowledge and experience of the tourist destination or its surroundings.

[0550] "Questions" are questions that tourists ask to seek information about questions or concerns they have while traveling.

[0551] "Means for generating answers in real time" refers to technologies and methods that generate and provide appropriate information immediately when tourists ask questions.

[0552] "Food and delivery service guidelines" refers to instructions and advice on local food culture and how to use delivery services.

[0553] The "means for providing the guidelines" refers to the methods and techniques for actually providing the generated guidelines to tourists.

[0554] A "server" is a computer system for processing, storing, and transmitting data over a network.

[0555] The system for implementing this invention includes a series of processes for collecting information on the culture and customs of tourists and generating tourist guidelines based on that information. This will be explained in detail below.

[0556] Components

[0557] 1. Server

[0558] The server is responsible for all data processing and information provision. The server is equipped with the following means:

[0559] Data collection method: Collect information such as tourist's name, nationality, cultural background, etc.

[0560] Database: Stores collected user information.

[0561] Generative AI: Generates guidelines for food and delivery services based on tourists' cultural backgrounds.

[0562] Portal site: Operate a web portal to provide the generated guidelines to travel management personnel and local experts.

[0563] 2. Device (smartphone app)

[0564] The terminal is a device used by tourists and travel management personnel to receive guidelines and support provided by the server. The terminal includes an interface for submitting questions and inquiries in real time and an interface for displaying answers from the server.

[0565] 3. Users

[0566] Users are tourists who access the system to receive guidelines and assistance based on their own culture and customs.

[0567] Program processing explanation

[0568] Initial Setup and User Data Collection

[0569] When a user accesses the application for the first time, an initial setup screen is displayed. Here, the user enters their name, nationality, cultural background, etc. Then, by pressing the submit button, the information is sent to the server. The server receives this data and stores it in a database.

[0570] Data analysis and guideline generation

[0571] The server retrieves user data from the database and provides it to the AI ​​generator, which then generates guidelines for food and delivery services based on detailed information about the tourist's culture and customs. These guidelines are then organized on the server and converted into a format that tourists can use.

[0572] Sharing and providing information

[0573] The server uploads the generated guidelines to a portal site, where travel management personnel and local experts can log in and download the guidelines relevant to a specific tourist.

[0574] Real-time Support

[0575] During their trip, tourists can receive real-time support through the app. By entering a question on the app and pressing the send button, the question is sent to the server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question, generates an appropriate answer, and sends it back to the user's device via the server. The user can immediately check the answer on the app.

[0576] Specific examples

[0577] For example, consider the case of a Japanese tourist staying in the United States. The tourist enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits the data. The server acquires this data and provides it to the generation AI. The generation AI generates guidelines for the United States based on information based on Japanese culture and customs. For example, these guidelines include tips on tipping practices at local restaurants and cultural considerations regarding meals. This allows the tourist to use local delivery services with peace of mind.

[0578] Example prompt sentence:

[0579] 1. Initial User Information Settings:

[0580] Name: Taro, Nationality: Japanese, Cultural Background: Traditional Japanese Customs

[0581] 2. Food recommendation request:

[0582] User ID: user123

[0583] 3. Request guidelines:

[0584] Q: What is the tipping custom at local restaurants?

[0585] This system will enable travelers to receive information and support appropriate to their cultural background, reducing inconvenience and misunderstandings while on-site and allowing them to enjoy a comfortable travel experience.

[0586] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0587] Step 1:

[0588] The user launches the smartphone app and accesses the initial setup screen.

[0589] Input: Information such as the user's name, nationality, and cultural background.

[0590] Specific operation: The user enters the required information into the form displayed in the app and presses the submit button, which causes the app to send the entered information to the server.

[0591] Output: The user information sent to the server.

[0592] Step 2:

[0593] The server stores the received user information in a database.

[0594] Input: User information submitted in step 1.

[0595] Specific operation: The server analyzes the received data and stores each field (name, nationality, cultural background) in a database.

[0596] Output: User information stored in the database.

[0597] Step 3:

[0598] The server retrieves user data from the database and provides it to the generation AI.

[0599] Input: User information in the database.

[0600] Specific operation: The server extracts data associated with a specific user ID from the database and passes it to the generation AI.

[0601] Output: User data provided to the generative AI.

[0602] Step 4:

[0603] Generative AI generates tourist guidelines based on the user's cultural background.

[0604] Input: User data provided by the server.

[0605] How it works: The generative AI collects additional information from reliable sources on the internet and generates tourism guidelines based on that information.

[0606] Output: Generated tourism guidelines.

[0607] Step 5:

[0608] The server organizes the generated tourist guidelines and converts them into a usable format.

[0609] Input: Tourist guidelines output from the generative AI.

[0610] Specific operation: The server checks the contents of the guidelines and converts them into a format that is easy for users to use (e.g., PDF or web page).

[0611] Output: Guidelines converted into a usable format.

[0612] Step 6:

[0613] The server uploads the generated tourist guideline to a portal site.

[0614] Input: Guidelines converted into a usable format.

[0615] What it does: The server uploads the guidelines to a portal site where they can be accessed by travel management personnel and local experts.

[0616] Output: Guidelines uploaded to the portal.

[0617] Step 7:

[0618] During the trip, users receive real-time support via a smartphone app.

[0619] Input: The user's question.

[0620] Specific operation: The user enters a question in the question field within the app and sends it to the server.

[0621] Output: The question sent to the server.

[0622] Step 8:

[0623] The server receives the question and issues processing instructions to the generation AI.

[0624] Input: The question submitted by the user.

[0625] Specific operation: The server analyzes the received question and sends an appropriate prompt to the generation AI.

[0626] Output: The prompt sent to the generation AI.

[0627] Step 9:

[0628] The generative AI analyzes the question and generates an appropriate answer.

[0629] Input: The prompt sent to the generation AI.

[0630] Specific operation: The generative AI analyzes the question based on the prompt text, collects the necessary information from reliable sources on the Internet, and generates an answer.

[0631] Output: The generated answer.

[0632] Step 10:

[0633] The server sends the generated response to the terminal.

[0634] Input: The answer output by the generation AI.

[0635] Specific operation: The server checks the generated answer and sends it to the user's device.

[0636] Output: The answer displayed on the user's terminal.

[0637] This process allows tourists to receive timely cultural and customary guidelines and appropriate support during their trip, reducing inconvenience and misunderstandings while on-site and ensuring a comfortable travel experience.

[0638] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0639] System Overview

[0640] This invention combines a system that collects information on tourists' cultures and customs, generates tourism guidelines based on that information, and provides them with an emotion engine. The system aims to promote smooth communication between tourists, travel agencies, and local experts, thereby improving tourist satisfaction.

[0641] Initial Setup and User Data Collection

[0642] When a user accesses the system for the first time, an initial setup screen is displayed. A form for entering the user's name, nationality, and cultural background is displayed on the terminal. The user enters this information and presses the send button. The terminal sends the entered information to the server. The server stores the received information in a database.

[0643] Data analysis and information provision using generative AI

[0644] The server retrieves user data from the database and provides it to the generation AI. The generation AI then collects further detailed information about the tourist's culture and customs from reliable sources on the Internet. Based on this collected information, the generation AI generates guidelines tailored to the tourist's culture. The server then organizes the generated guidelines and converts them into a format that can be used by travel guides and tour guides, and stores them.

[0645] Sharing information and providing guidelines

[0646] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Terminals (devices of travel agencies and local experts) log in to the portal site and download and use the guidelines related to specific tourists.

[0647] Travel support and emotional engine

[0648] Users (tourists) can receive real-time support during their trip through a dedicated smartphone app. The user enters a question into the app and presses the send button. The device then sends the information to the server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question and generates an appropriate answer.

[0649] Introducing the Emotion Engine

[0650] The system is equipped with an emotion engine that recognizes tourists' emotions. The device analyzes the tourists' facial expressions, voice, and input text in real time and sends the results to the emotion engine. The emotion engine recognizes the tourists' emotions and adjusts the generated tourism guidelines and real-time responses based on that information. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate a response that provides reassurance.

[0651] Specific examples

[0652] For example, when a Japanese tourist travels to the United States, the following process takes place: The user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include things like tipping customs in American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[0653] Furthermore, this system is equipped with an emotion engine that recognizes the emotions of tourists. The device (Japanese tourist's smartphone) analyzes the tourist's facial expressions and voice to recognize the tourist's emotions. For example, if the emotion engine recognizes the anxiety a user feels when they are unsure where to find a restaurant, it generates a reassuring response and sends it to the device via the server. The user can receive appropriate guidance on the app, alleviating their anxiety.

[0654] In this way, the present invention provides a system that facilitates communication between tourists, travel agencies, and local experts, and provides attentive support that takes emotions into consideration, thereby enabling travelers to have a more satisfying experience.

[0655] The processing flow will be explained below.

[0656] Step 1:

[0657] A user accesses the system and the initial setup screen is displayed.

[0658] Step 2:

[0659] The terminal displays a form for entering the user's name, nationality, and cultural background.

[0660] Step 3:

[0661] The user enters the required information into the form and presses the submit button.

[0662] Step 4:

[0663] The terminal transmits the input information to the server.

[0664] Step 5:

[0665] The server stores the received information in a database.

[0666] Step 6:

[0667] The server retrieves user data from the database and provides it to the generation AI.

[0668] Step 7:

[0669] Generative AI gathers detailed information about a user's culture and customs from trusted sources on the internet.

[0670] Step 8:

[0671] The generative AI generates tourism guidelines based on the collected information.

[0672] Step 9:

[0673] The server organizes the generated tourist guidelines, converts them into a format that can be used by travel guides and tour guides, and stores them.

[0674] Step 10:

[0675] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts.

[0676] Step 11:

[0677] Terminals (devices of travel agencies or local experts) log in to the portal site and search for and download tourism guidelines.

[0678] Step 12:

[0679] While traveling, users launch a dedicated smartphone app, enter a question on the app, and press the send button.

[0680] Step 13:

[0681] The terminal (user's smartphone) sends the question to the server.

[0682] Step 14:

[0683] The server receives the question and issues processing instructions to the generating AI.

[0684] Step 15:

[0685] The generative AI analyzes the question and generates an appropriate answer.

[0686] Step 16:

[0687] The server sends the generated answer to the user's terminal.

[0688] Step 17:

[0689] The terminal (user's smartphone) displays the answers, which the user can check in real time.

[0690] Step 18:

[0691] The device (user's smartphone) transmits the tourist's facial expressions and voice to the emotion engine, which analyzes this data in real time.

[0692] Step 19:

[0693] The emotion engine recognizes the tourist's emotional state, for example, extracting information if the user is feeling anxious.

[0694] Step 20:

[0695] The emotion engine sends the recognized emotion information to the generation AI.

[0696] Step 21:

[0697] The generative AI adjusts tourism guidelines and real-time answers based on emotional information, generating more appropriate answers.

[0698] Step 22:

[0699] The server sends the tailored response to the user's terminal.

[0700] Step 23:

[0701] The device (user's smartphone) displays the adjusted answer, giving the user a sense of security.

[0702] In this way, the system can provide detailed support through real-time sentiment analysis, as well as provide guidelines that take into account tourists' culture and customs.

[0703] Example 2

[0704] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0705] Tourists often have concerns about culture and customs in foreign countries, and providing appropriate information to alleviate these concerns is essential. Tourists also need real-time support during their trips, particularly detailed responses tailored to their emotional state. Conventional systems lack the functionality to provide information that takes into account the emotional state of tourists, making it difficult to improve satisfaction with the tourist experience.

[0706] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting information on the culture and customs of tourists, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel agencies and local experts, means for generating answers in real time to questions asked by tourists during their trip, means for recognizing the emotional state of the tourists, and means for adjusting the guidelines and answers based on the recognized emotional state. This allows tourists to obtain appropriate information on culture and customs, and also enables them to receive support in real time for their questions and in accordance with their emotional state.

[0707] "Tourists" refer to people who visit a destination and enjoy the local attractions and culture.

[0708] "Culture and customs" is a general term that includes the customs, beliefs, social rules, and lifestyles of a particular region or country.

[0709] "Information collection means" refers to methods and devices that obtain data from tourist input or reliable sources on the Internet.

[0710] "Means for generating tourist guidelines" refers to methods or software for generating instructions and advice for tourists based on the collected information.

[0711] "Means for providing the generated tourism guidelines" refers to the methods and systems for transferring and sharing the generated guidelines with travel agencies and local experts.

[0712] "Means for generating answers in real time" refers to a method or system for generating and providing instantaneous responses to questions from tourists.

[0713] "Means for recognizing emotional states" refers to methods and technologies for analyzing and identifying emotions from tourists' facial expressions, voice, input text, etc.

[0714] "Means for adjusting guidelines and responses" refers to methods and software for modifying and changing the content to best suit the tourist based on the perceived emotional state.

[0715] "Server" refers to a computer system for storing, processing, and transmitting data.

[0716] "Device" refers to the device (smartphone, tablet, PC, etc.) used by tourists, travel agencies, and local experts to input and receive information.

[0717] "Database" refers to the system for storing and managing tourist information, generated guidelines, questions and answers.

[0718] This invention combines an emotion engine with a system that collects information on tourists' cultures and customs, generates tourism guidelines based on that information, and provides them to tourists. The system aims to promote smooth communication between tourists, travel agencies, and local experts, thereby improving tourist satisfaction.

[0719] Initial Setup and User Data Collection

[0720] When a user first accesses the system, an initial setup screen is displayed. The terminal displays a form for entering the user's name, nationality, and cultural background. The user enters this information and presses the submit button. The terminal sends the entered information to the server using an HTTP POST request. The server stores the received information in a database using an SQL query.

[0721] Data analysis and information provision using generative AI

[0722] The server retrieves user data from the database using a SQL SELECT query. Based on this user data, the server generates a prompt to be provided to the generative AI model. The generated prompt has the following format:

[0723] "This tourist has a Japanese cultural background and is visiting the United States. Please provide the best guidelines for Japanese tourists. For example, please include how to pay tips at local restaurants and things to be aware of when traveling. Also, please provide some reassuring advice that takes into consideration the feelings of tourists."

[0724] The generative AI model gathers detailed information about tourists' cultures and customs from reliable sources on the Internet based on the provided prompt, and generates appropriate guidelines based on that information. The server organizes the generated guidelines, converts them into a specific format (e.g., PDF or HTML), and saves them.

[0725] Sharing information and providing guidelines

[0726] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Specifically, the guideline files are saved in a specific directory on the server, and the URL is linked to the portal site. Travel agencies and local experts can log in to the portal site and download and use the guidelines related to specific tourists.

[0727] Travel support and emotional engine

[0728] Users (tourists) can receive real-time support during their trip through a dedicated smartphone app. The user enters a question on the app and presses the send button. The device sends this question to the server using an HTTP POST request. The server converts the question content into a prompt sentence to be provided to the generative AI model and issues processing instructions to the generative AI model. The generative AI model analyzes the question content and generates an appropriate answer based on that. The server sends the generated answer back to the device, and the device displays the received answer to the user.

[0729] Introducing the Emotion Engine

[0730] The system is equipped with an emotion engine, and the device analyzes the tourist's facial expressions, voice, and input text in real time, sending the results to the emotion engine. The emotion engine recognizes the tourist's emotions and uses that information to adjust the generated tourism guidelines and real-time responses. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate a response that provides reassurance.

[0731] Specific examples

[0732] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generative AI model. The generative AI model collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note regarding common travel issues that Japanese people may encounter. In addition, the emotion engine recognizes the tourist's emotions and provides appropriate advice, including words of comfort and encouragement, if the tourist feels anxious.

[0733] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0734] Step 1:

[0735] When a user accesses the initial setup screen, a form for entering the user's name, nationality, and cultural background is displayed on the terminal. The user enters this information and presses the submit button. As input, the user enters their name ("Yamada Taro"), nationality ("Japan"), and cultural background ("Traditional Japanese Customs"). The terminal sends this input data to the server using an HTTP POST request.

[0736] Step 2:

[0737] The server receives the user data sent from the device and stores it in a database. The server uses an SQL query to execute commands such as "INSERT INTO user_data (name, nationality, cultural_background) VALUES ("Yamada Taro", "Japan", "Traditional Japanese Customs")". As an output, a new record is added to the database and the user information is stored.

[0738] Step 3:

[0739] The server retrieves user data from the database. It uses an SQL SELECT query, executing a command like "SELECT FROM user_data WHERE name = 'Yamada Taro'". As input, it sets the search criteria based on the user's name. As output, it retrieves the data related to that particular user.

[0740] Step 4:

[0741] The server generates a prompt for the generative AI model based on the acquired user data. The server creates a prompt like this: "This tourist has a Japanese cultural background and is visiting the United States. Please provide the best guidelines for Japanese tourists." Using the user data (name, nationality, cultural background) as input, the server sends the generated prompt to the generative AI model.

[0742] Step 5:

[0743] The generative AI model gathers detailed information based on the provided prompt text and generates tourism guidelines. It uses the prompt text as input and collects data from reliable sources on the internet. The output is tourism guidelines, such as "tipping customs in American restaurants and travel precautions for Japanese people."

[0744] Step 6:

[0745] The server converts the generated tourism guidelines into an appropriate format (e.g., PDF or HTML) and saves them. The server uses format conversion libraries and tools to format the guidelines obtained from the generative AI model. Using the generated guidelines as input, a formatted guideline file is created as output.

[0746] Step 7:

[0747] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Specifically, the file is saved in a specific directory on the server and its URL is linked to the portal site. The generated guideline file is used as input, and the uploaded URL is generated as output.

[0748] Step 8:

[0749] The terminals of travel agencies and local experts log in to the portal site to download the guidelines related to a specific tourist. After authentication using a username and password, the necessary guidelines are obtained. The portal site URL is used as input, and the guideline file is downloaded to the terminal as output.

[0750] Step 9:

[0751] During their trip, users receive real-time support through a dedicated smartphone app. The user enters a question into the app and presses the send button. The user's question (e.g., "I don't know how to order at a restaurant") is entered as input, and the device sends this information to the server using an HTTP POST request.

[0752] Step 10:

[0753] The server receives questions from users and converts them into appropriate prompts for the generative AI model. Using the user question as input, it generates prompts such as, "Please tell me the question in Japanese. Please generate an appropriate answer taking into account the cultural background of the tourist." As output, a prompt is generated to be provided to the generative AI model.

[0754] Step 11:

[0755] The generative AI model analyzes the question and generates an appropriate answer based on it. It uses the prompt received as input and generates an appropriate answer as output. For example, it generates an answer like, "Please explain how to order in English in a simple way at a restaurant."

[0756] Step 12:

[0757] The server returns the generated answer to the terminal. It uses the generated answer as input and sends it to the terminal as an HTTP response. As output, it returns the answer data that the terminal receives.

[0758] Step 13:

[0759] The device displays the received answers to the user, who can then check the appropriate answers on the app and receive support during their trip.The answer data received from the server is used as input, and is displayed on the app screen as output.

[0760] Step 14:

[0761] The terminal analyzes the tourist's facial expressions, voice, input text, etc. and sends them to the emotion engine. It monitors the tourist's emotional state in real time and sends the analyzed data to the emotion engine. It uses the tourist's emotional data as input and generates data that is sent to the emotion engine as output.

[0762] Step 15:

[0763] The emotion engine recognizes tourists' emotions and adjusts the generated tourism guidelines and real-time answers based on that information. It uses the emotion data sent as input and generates adjusted guidelines and answers as output. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate guidelines and answers that provide reassurance.

[0764] (Application example 2)

[0765] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0766] There are problems with tourists understanding local culture and customs and communicating smoothly at their travel destinations. It is also difficult to get appropriate answers to questions in real time while traveling. Furthermore, there is a lack of means to recognize tourists' emotions and provide detailed support according to the situation, which is likely to result in a decrease in tourist satisfaction.

[0767] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting information on tourists' cultures and customs, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel agencies and local experts, means for generating answers in real time to questions asked by tourists during their trip, means for recognizing tourists' emotions, and means for adjusting the guidelines and answers based on the tourists' emotions. This makes it easier for tourists to understand local cultures and customs, allows them to receive appropriate answers in real time, and enables them to receive detailed support tailored to their emotions.

[0768] "Means for collecting information on tourists' culture and customs" refers to devices or systems that have the function of obtaining data related to the cultural background and customs of tourists based on information entered by the tourists.

[0769] A "means for generating tourism guidelines" is a device or system that has the function of creating guidelines containing necessary information and precautions for tourists at their travel destinations based on collected information on culture and customs.

[0770] The "means for providing the generated tourism guidelines to travel agencies and local experts" refers to a portal site or system that allows travel agencies and local tourist guides to access the generated tourism guidelines.

[0771] A "means for generating answers in real time to questions from tourists during their trip" is a device or system that has the function of instantly receiving inquiries from tourists and automatically generating and providing appropriate answers to those inquiries.

[0772] A "means for recognizing tourist emotions" is a device or system that has the function of analyzing the facial expressions, voices, and text input by tourists to identify their emotional state.

[0773] "Means for adjusting guidelines and answers based on tourists' emotions" refers to a device or system that has the function of automatically changing and adjusting the guidelines and answers provided in accordance with the recognized emotional state of tourists.

[0774] This system generates guidelines based on the culture and customs of tourists and responds to their questions in real time. Furthermore, it incorporates an emotion engine to provide answers and guidelines that reflect the tourists' emotions, thereby enhancing the tourist experience.

[0775] System Overview

[0776] This system mainly consists of the following components:

[0777] 1. Means of collecting information about tourists' culture and customs:

[0778] Data on cultural background and customs is collected based on information entered by users (tourists).

[0779] Users enter their name, nationality, and cultural background through a smartphone app.

[0780] 2. Means of generating tourism guidelines:

[0781] Based on the collected information, the generative AI generates tourism guidelines.

[0782] The server receives the information and creates tourist guidelines using a generation AI.

[0783] 3. Means of providing the generated tourism guidelines:

[0784] The generated guidelines are uploaded to a portal site that can be accessed by travel agencies and local experts.

[0785] Travel agents and local experts log into the portal and download relevant guidelines for specific tourists.

[0786] 4. Real-time answer generation methods:

[0787] It receives user (tourist) questions in real time and generates and provides appropriate answers.

[0788] Users input questions via a smartphone app, and the server generates answers using generative AI.

[0789] 5. Means of recognizing tourists' emotions:

[0790] It analyzes the user's facial expressions, voice, and input text to recognize emotions.

[0791] The smartphone analyzes emotions using an emotion engine.

[0792] 6. How to adjust guidelines and responses based on emotions:

[0793] Based on the recognized emotional information, the generative AI adjusts the guidelines and response content.

[0794] The server sends guidelines and answers based on the generated emotions to the user's device.

[0795] Hardware and Software

[0796] Hardware: smartphones, servers, databases.

[0797] Software: Created smartphone apps, generative AI models, emotion engines, and portal sites.

[0798] Specific examples

[0799] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI then collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[0800] Furthermore, this system is equipped with an emotion engine that recognizes the emotions of tourists. The device (Japanese tourist's smartphone) analyzes the tourist's facial expressions and voice to recognize the tourist's emotions. For example, if the emotion engine recognizes the anxiety a user feels when they are unsure where to find a restaurant, it generates a reassuring response and sends it to the device via the server. The user can receive appropriate guidance on the app, alleviating their anxiety.

[0801] Prompt Sentence Examples

[0802] Prompt statement:

[0803] "Username: Taro, Nationality: Japanese, Cultural background: Traditional Japanese customs, Travel destination: America"

[0804] "Generate cultural guidelines that Japanese tourists should know about in the United States."

[0805] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0806] Step 1:

[0807] The user (tourist) initializes the smartphone app. The user inputs information such as their name, nationality, and cultural background, and submits it. This information is sent from the device to the server. The input data includes the user's name, nationality, and cultural background. The server receives this and stores it in a database.

[0808] Step 2:

[0809] The server provides the received user data to the generation AI. The server then sends a prompt to the generation AI to generate tourism guidelines that suit the user's culture and customs. Specifically, data such as "User name: Taro, Nationality: Japan, Cultural background: Traditional Japanese customs, Travel destination: America" ​​is sent. Based on this data, the generation AI generates tourism guidelines that suit the user's travel destination.

[0810] Step 3:

[0811] The server organizes the tourist guidelines received from the AI ​​generator, converts them into a format that can be used by travel guides and tour guides, and stores them in a database. The generated guidelines include specific tourist information tailored to the user's cultural background (e.g., tipping practices in American restaurants).

[0812] Step 4:

[0813] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Travel agencies and local experts log in to this portal site on their devices and download and use the guidelines related to specific tourists. After uploading, the guidelines are provided in a format (e.g., PDF format) that is easily accessible to travel agencies and local guides.

[0814] Step 5:

[0815] While traveling, users input questions through a smartphone app. The device then sends the question data to a server. The questions include specific questions (e.g., "How much should I tip at restaurants in the United States?"). The server receives the question data and issues processing instructions to the AI.

[0816] Step 6:

[0817] The server uses a generation AI to analyze the user's question and generate an appropriate answer. The generation AI generates an appropriate answer from the input question and returns the result to the server. The analysis results of the generation AI include a specific answer to the user's question (e.g., "In America, a tip of 15-20% of the meal price is generally appropriate.").

[0818] Step 7:

[0819] The server receives the answer from the AI ​​generator and sends it to the device. The device displays the received answer to the user. The user can check the answer generated by the AI ​​generator in real time on the smartphone app.

[0820] Step 8:

[0821] The device analyzes the tourist's facial expressions, voice, input text, etc. in real time and sends the data to the emotion engine. For example, if a user inputs a question with an anxious expression or voice, the data is sent to the emotion engine. The emotion engine analyzes this data and recognizes the tourist's emotional state.

[0822] Step 9:

[0823] Based on the emotion data from the emotion engine, the server instructs the generation AI to adjust guidelines and responses according to the emotion. The generation AI uses the emotion data to generate responses that will reassure tourists. For example, if anxiety is recognized, it generates a response that gives a sense of security.

[0824] Step 10:

[0825] The server sends the adjusted guidelines and answers to the device, which receives them and displays them to the user. This allows users to receive detailed support in real time according to their emotional state.

[0826] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0827] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0828] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0829] [Third embodiment]

[0830] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0831] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0832] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0833] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0834] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0835] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0836] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0837] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0838] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0839] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0840] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0841] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0842] System Overview

[0843] This invention is a system that collects information on tourists' cultures and customs, and generates and provides tourism guidelines based on that information. The system aims to promote smooth communication between tourists, travel agencies, and local experts, and to provide a more satisfying travel experience.

[0844] Initial Setup and User Data Collection

[0845] When a user accesses this system, an initial setup screen is displayed first. A form for entering the user's name, nationality, cultural background, etc. is displayed on the terminal. After the user enters this information and presses the send button, the terminal sends the input data to the server. The server stores the received data in a database.

[0846] Data analysis and information provision using generative AI

[0847] The server retrieves user data from the database and provides it to the generation AI. The generation AI then collects further detailed information about the tourist's culture and customs from reliable sources on the Internet. Based on this collected information, the generation AI generates guidelines tailored to the tourist's culture. The server then organizes the generated guidelines, converts them into a format that can be used by travel guides and tour guides, and saves them.

[0848] Sharing information and providing guidelines

[0849] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Terminals (devices of travel agencies and local experts) log in to the portal site and download and use the guidelines related to specific tourists.

[0850] Travel support

[0851] While traveling, users (tourists) can receive real-time support through a dedicated smartphone app. Users enter a question on the app and press the send button, which sends the question to a server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question, generates an appropriate answer, and sends it back to the device via the server. On the device, travelers can instantly check the answer on the app.

[0852] Specific examples

[0853] For example, consider the case of a Japanese tourist traveling to the United States. The user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits in American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[0854] The server uploads these guidelines to a portal site, and devices (American travel agencies and tour guides) download and use the guidelines from the portal site. While traveling, users (Japanese tourists) input questions about "tipping customs at local restaurants" through the app. The server receives the question, and the AI ​​generator generates an answer - "It is customary to give a 15% to 20% tip at American restaurants" - and sends it back to the device. Users can check this answer on the app and use it to guide their actions at their travel destination.

[0855] In this way, the present invention provides a system that facilitates communication between tourists, travel agencies, and local experts, resulting in a more satisfying travel experience.

[0856] The processing flow will be explained below.

[0857] Step 1:

[0858] A user accesses the system and the initial setup screen is displayed.

[0859] Step 2:

[0860] The device displays a form for entering the user's name, nationality, and cultural background.

[0861] Step 3:

[0862] The user enters the required information into the form and presses the submit button.

[0863] Step 4:

[0864] The terminal transmits the input information to the server.

[0865] Step 5:

[0866] The server stores the received information in a database.

[0867] Step 6:

[0868] The server retrieves user data from the database and provides it to the generation AI.

[0869] Step 7:

[0870] Generative AI gathers detailed information about a user's culture and customs from trusted sources on the internet.

[0871] Step 8:

[0872] The generative AI generates tourism guidelines based on the collected information.

[0873] Step 9:

[0874] The server organizes the generated tourist guidelines, converts them into a format that can be used by travel guides and tour guides, and stores them.

[0875] Step 10:

[0876] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts.

[0877] Step 11:

[0878] The terminal (travel agency or local expert) logs in to the portal site and searches for and downloads tourism guidelines.

[0879] Step 12:

[0880] While traveling, users launch a dedicated smartphone app, enter their questions, and send them.

[0881] Step 13:

[0882] The terminal sends a query to the server.

[0883] Step 14:

[0884] The server receives the question and issues processing instructions to the generating AI.

[0885] Step 15:

[0886] The generative AI analyzes the question and generates an appropriate answer.

[0887] Step 16:

[0888] The server sends the generated answer to the user's terminal.

[0889] Step 17:

[0890] The terminal displays the answer, and the user can check the answer in real time.

[0891] Example 1

[0892] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0893] Conventional methods of providing tourism guidelines have difficulty adapting to the diverse cultures and customs of tourists, making it impossible to provide optimal guidelines for individual tourists. Furthermore, there was a lack of ways for tourists to ask questions in real time and receive appropriate answers while traveling, making it impossible to provide a satisfying travel experience.

[0894] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0895] In this invention, the server includes a means for collecting tourist attribute information, a means for using a generative AI model to generate tourist guidelines based on the collected information, and a means for providing the generated tourist guidelines to travel-related companies and local guides. This makes it possible to provide customized guidelines according to the culture and customs of each tourist, and to provide appropriate answers in real time to questions from tourists during their trip.

[0896] "Tourists" are people who visit a particular area for the purpose of sightseeing.

[0897] "Attribute information" refers to personal information such as tourists' names, nationalities, and cultural backgrounds.

[0898] A "generative AI model" refers to an artificial intelligence system that analyzes data and generates information based on collected attribute information.

[0899] "Travel-related companies" refers to companies and organizations that handle travel services, including travel agencies and tour operators.

[0900] A "local guide" refers to a professional who provides guidance and support to tourists at tourist destinations.

[0901] "Information provision system" refers to an online platform that provides generated guidelines and information in a form that can be accessed by travel-related companies and local guides.

[0902] "Database" refers to a digital information management system for storing tourist input information and generated guidelines.

[0903] "Real time" refers to providing actions and information in accordance with the current time.

[0904] This invention is a system for generating and providing tourism guidelines tailored to the culture and customs of tourists. The system facilitates communication between tourists, travel-related companies, and local guides, and provides real-time support during travel.

[0905] System Overview

[0906] Initial Setup and User Data Collection

[0907] When a user accesses the system, an initial setup screen is displayed. The terminal displays a form for entering the user's name, nationality, cultural background, etc. The user enters this information and presses the send button. The electronic device (terminal) can be a personal computer or smartphone. The terminal sends the input data to the server, and the server stores the received data in a database.

[0908] Data analysis and information provision using generative AI

[0909] The server retrieves user data from the database and provides it to a generative AI model. The generative AI model then collects information about the tourist's culture and customs from reliable sources on the Internet and generates guidelines tailored to the tourist's culture. Generative AI models such as GPT-3 and ChatGPT are used. The server then organizes the generated guidelines, converts them into a standard format, and saves them.

[0910] Sharing information and providing guidelines

[0911] The server uploads the generated tourist guidelines to an information system that can be accessed by travel-related companies and local guides. Terminals (devices of travel-related companies and local guides) can log in to the information system and download and use the guidelines related to specific tourists.

[0912] Travel support

[0913] During their trip, users (tourists) can receive real-time support through a dedicated smartphone app. When a user enters a question on the app and presses the send button, the question is sent to a server. The server receives the question and issues processing instructions to a generative AI model. The generative AI model analyzes the content of the question, generates an appropriate answer, and sends it back to the device via the server. The user can instantly check the answer on the app.

[0914] Specific examples

[0915] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generative AI model. The generative AI model collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note about common travel troubles that Japanese people may encounter. The server uploads these guidelines to an information system, and devices (American travel-related companies and tour guides) download and use the guidelines from the information system.

[0916] While traveling, users (Japanese tourists) input questions about "tipping customs at local restaurants" through the app. The server receives the question, and the generative AI model generates an answer: "It is customary to give a 15% to 20% tip at American restaurants," which is sent back to the device. Users can then check this answer on the app and use it to guide their travels.

[0917] Prompt Sentence Examples

[0918] Example prompt for a generative AI model:

[0919] "Generate guidelines for Japanese tourists traveling in the United States. Consider the following information: Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs."

[0920] In this way, the invention facilitates communication between tourists, travel-related businesses, and local guides, helping travelers have a more satisfying experience.

[0921] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0922] Step 1:

[0923] When a user accesses the system, the terminal displays an initial setup screen. This screen contains a form for entering the user's name, nationality, and cultural background. The user enters this information and presses the submit button. The entered data is name (e.g., "Yamada Taro"), nationality (e.g., "Japan"), and cultural background (e.g., "Traditional Japanese Customs").

[0924] Step 2:

[0925] The terminal sends the information entered by the user to the server, which stores the received data in a database. The input is user data, specifically information such as "Yamada Taro, Japan, traditional Japanese customs." This data is then processed to store accurately in the database.

[0926] Step 3:

[0927] The server retrieves the stored user data from the database. The input is the user data retrieved from the database, and based on this, it generates a prompt for the generative AI model. Specifically, it creates a prompt such as "Please generate guidelines for Japanese tourists who have traditional Japanese customs."

[0928] Step 4:

[0929] The server provides the generated prompt sentences to the generative AI model, which then collects information about tourists' cultures and customs from reliable sources on the Internet based on the input prompt sentences and generates tourist guidelines. The generated guidelines are then sent back to the server as output.

[0930] Step 5:

[0931] The server organizes the generated tourist guideline, converts it into a standard format (e.g. PDF or HTML format) and saves it. This format conversion requires data calculations to adjust it to the appropriate format.

[0932] Step 6:

[0933] The server uploads the organized guidelines to the information system. At this point, the input is the formatted guidelines, and the uploaded guidelines are output. Travel-related companies and local guides can access the information system using their terminals and download and use the relevant guidelines.

[0934] Step 7:

[0935] During their trip, users receive real-time support using a dedicated smartphone app. By entering a question into the app and pressing the send button, the question is sent from the device to the server. For example, a user can ask about tipping practices in American restaurants.

[0936] Step 8:

[0937] The server receives the question and issues processing instructions to the generative AI model, which analyzes the input question and generates an appropriate answer (e.g., "In American restaurants, it is customary to leave a tip of 15% to 20%). This answer is then sent back to the server as output.

[0938] Step 9:

[0939] The server receives the generated answer and sends it back to the device, where the user can instantly view the answer in the app and use it to guide their travel plans. This final step resolves the user's question and improves their travel experience.

[0940] (Application example 1)

[0941] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0942] International travel and food delivery services are on the rise, but travelers often lack sufficient information about food customs and delivery methods in other cultures. As a result, travelers can experience various inconveniences and misunderstandings when dining out or using delivery services. They must adapt to cultural differences, particularly tipping practices and religious dietary restrictions. It is necessary to resolve these issues and provide travelers with a more comfortable and smooth delivery service.

[0943] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0944] In this invention, the server includes means for collecting information on the culture and customs of tourists, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel management personnel and local experts, means for generating answers in real time to questions from tourists during their trip, means for generating guidelines on food and delivery services based on the cultural background of the tourists, and means for providing the generated guidelines to the tourists. This enables travelers to receive accurate guidelines on how to use food and drink information and services appropriate for their cultural background, reducing inconvenience and misunderstandings regarding the use of local meals and delivery services and achieving a more satisfying travel experience.

[0945] A "tourist" is an individual who visits a particular region or country for the purpose of travel or tourism.

[0946] "Culture and customs" are the set of social, religious, or everyday behaviors and beliefs shared by people in a particular country or region.

[0947] "Tourism guidelines" are guides and advice for tourists to have a comfortable stay in the region or country they visit.

[0948] "Travel management personnel" are people who plan and manage trips at travel agencies, tour operators, etc.

[0949] "Local experts" are local people or guides with specific knowledge and experience of the tourist destination or its surroundings.

[0950] "Questions" are questions that tourists ask to seek information about questions or concerns they have while traveling.

[0951] "Means for generating answers in real time" refers to technologies and methods that generate and provide appropriate information immediately when tourists ask questions.

[0952] "Food and delivery service guidelines" refers to instructions and advice on local food culture and how to use delivery services.

[0953] The "means for providing the guidelines" refers to the methods and techniques for actually providing the generated guidelines to tourists.

[0954] A "server" is a computer system for processing, storing, and transmitting data over a network.

[0955] The system for implementing this invention includes a series of processes for collecting information on the culture and customs of tourists and generating tourist guidelines based on that information. This will be explained in detail below.

[0956] Components

[0957] 1. Server

[0958] The server is responsible for all data processing and information provision. The server is equipped with the following means:

[0959] Data collection method: Collect information such as tourist's name, nationality, cultural background, etc.

[0960] Database: Stores collected user information.

[0961] Generative AI: Generates guidelines for food and delivery services based on tourists' cultural backgrounds.

[0962] Portal site: Operate a web portal to provide the generated guidelines to travel management personnel and local experts.

[0963] 2. Device (smartphone app)

[0964] The terminal is a device used by tourists and travel management personnel to receive guidelines and support provided by the server. The terminal includes an interface for submitting questions and inquiries in real time and an interface for displaying answers from the server.

[0965] 3. Users

[0966] Users are tourists who access the system to receive guidelines and assistance based on their own culture and customs.

[0967] Program processing explanation

[0968] Initial Setup and User Data Collection

[0969] When a user accesses the application for the first time, an initial setup screen is displayed. Here, the user enters their name, nationality, cultural background, etc. Then, by pressing the submit button, the information is sent to the server. The server receives this data and stores it in a database.

[0970] Data analysis and guideline generation

[0971] The server retrieves user data from the database and provides it to the AI ​​generator, which then generates guidelines for food and delivery services based on detailed information about the tourist's culture and customs. These guidelines are then organized on the server and converted into a format that tourists can use.

[0972] Sharing and providing information

[0973] The server uploads the generated guidelines to a portal site, where travel management personnel and local experts can log in and download the guidelines relevant to a specific tourist.

[0974] Real-time Support

[0975] During their trip, tourists can receive real-time support through the app. By entering a question on the app and pressing the send button, the question is sent to the server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question, generates an appropriate answer, and sends it back to the user's device via the server. The user can immediately check the answer on the app.

[0976] Specific examples

[0977] For example, consider the case of a Japanese tourist staying in the United States. The tourist enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits the data. The server acquires this data and provides it to the generation AI. The generation AI generates guidelines for the United States based on information based on Japanese culture and customs. For example, these guidelines include tips on tipping practices at local restaurants and cultural considerations regarding meals. This allows the tourist to use local delivery services with peace of mind.

[0978] Example prompt sentence:

[0979] 1. Initial User Information Settings:

[0980] Name: Taro, Nationality: Japanese, Cultural Background: Traditional Japanese Customs

[0981] 2. Food recommendation request:

[0982] User ID: user123

[0983] 3. Request guidelines:

[0984] Q: What is the tipping custom at local restaurants?

[0985] This system will enable travelers to receive information and support appropriate to their cultural background, reducing inconvenience and misunderstandings while on-site and allowing them to enjoy a comfortable travel experience.

[0986] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0987] Step 1:

[0988] The user launches the smartphone app and accesses the initial setup screen.

[0989] Input: Information such as the user's name, nationality, and cultural background.

[0990] Specific operation: The user enters the required information into the form displayed in the app and presses the submit button, which causes the app to send the entered information to the server.

[0991] Output: The user information sent to the server.

[0992] Step 2:

[0993] The server stores the received user information in a database.

[0994] Input: User information submitted in step 1.

[0995] Specific operation: The server analyzes the received data and stores each field (name, nationality, cultural background) in a database.

[0996] Output: User information stored in the database.

[0997] Step 3:

[0998] The server retrieves user data from the database and provides it to the generation AI.

[0999] Input: User information in the database.

[1000] Specific operation: The server extracts data associated with a specific user ID from the database and passes it to the generation AI.

[1001] Output: User data provided to the generative AI.

[1002] Step 4:

[1003] Generative AI generates tourist guidelines based on the user's cultural background.

[1004] Input: User data provided by the server.

[1005] How it works: The generative AI collects additional information from reliable sources on the internet and generates tourism guidelines based on that information.

[1006] Output: Generated tourism guidelines.

[1007] Step 5:

[1008] The server organizes the generated tourist guidelines and converts them into a usable format.

[1009] Input: Tourist guidelines output from the generative AI.

[1010] Specific operation: The server checks the contents of the guidelines and converts them into a format that is easy for users to use (e.g., PDF or web page).

[1011] Output: Guidelines converted into a usable format.

[1012] Step 6:

[1013] The server uploads the generated tourist guideline to a portal site.

[1014] Input: Guidelines converted into a usable format.

[1015] What it does: The server uploads the guidelines to a portal site where they can be accessed by travel management personnel and local experts.

[1016] Output: Guidelines uploaded to the portal.

[1017] Step 7:

[1018] During the trip, users receive real-time support via a smartphone app.

[1019] Input: The user's question.

[1020] Specific operation: The user enters a question in the question field within the app and sends it to the server.

[1021] Output: The question sent to the server.

[1022] Step 8:

[1023] The server receives the question and issues processing instructions to the generation AI.

[1024] Input: The question submitted by the user.

[1025] Specific operation: The server analyzes the received question and sends an appropriate prompt to the generation AI.

[1026] Output: The prompt sent to the generation AI.

[1027] Step 9:

[1028] The generative AI analyzes the question and generates an appropriate answer.

[1029] Input: The prompt sent to the generation AI.

[1030] Specific operation: The generative AI analyzes the question based on the prompt text, collects the necessary information from reliable sources on the Internet, and generates an answer.

[1031] Output: The generated answer.

[1032] Step 10:

[1033] The server sends the generated response to the terminal.

[1034] Input: The answer output by the generation AI.

[1035] Specific operation: The server checks the generated answer and sends it to the user's device.

[1036] Output: The answer displayed on the user's terminal.

[1037] This process allows tourists to receive timely cultural and customary guidelines and appropriate support during their trip, reducing inconvenience and misunderstandings while on-site and ensuring a comfortable travel experience.

[1038] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1039] System Overview

[1040] This invention combines a system that collects information on tourists' cultures and customs, generates tourism guidelines based on that information, and provides them with an emotion engine. The system aims to promote smooth communication between tourists, travel agencies, and local experts, thereby improving tourist satisfaction.

[1041] Initial Setup and User Data Collection

[1042] When a user accesses the system for the first time, an initial setup screen is displayed. A form for entering the user's name, nationality, and cultural background is displayed on the terminal. The user enters this information and presses the send button. The terminal sends the entered information to the server. The server stores the received information in a database.

[1043] Data analysis and information provision using generative AI

[1044] The server retrieves user data from the database and provides it to the generation AI. The generation AI then collects further detailed information about the tourist's culture and customs from reliable sources on the Internet. Based on this collected information, the generation AI generates guidelines tailored to the tourist's culture. The server then organizes the generated guidelines and converts them into a format that can be used by travel guides and tour guides, and stores them.

[1045] Sharing information and providing guidelines

[1046] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Terminals (devices of travel agencies and local experts) log in to the portal site and download and use the guidelines related to specific tourists.

[1047] Travel support and emotional engine

[1048] Users (tourists) can receive real-time support during their trip through a dedicated smartphone app. The user enters a question into the app and presses the send button. The device then sends the information to the server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question and generates an appropriate answer.

[1049] Introducing the Emotion Engine

[1050] The system is equipped with an emotion engine that recognizes tourists' emotions. The device analyzes the tourists' facial expressions, voice, and input text in real time and sends the results to the emotion engine. The emotion engine recognizes the tourists' emotions and adjusts the generated tourism guidelines and real-time responses based on that information. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate a response that provides reassurance.

[1051] Specific examples

[1052] For example, when a Japanese tourist travels to the United States, the following process takes place: The user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include things like tipping customs in American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[1053] Furthermore, this system is equipped with an emotion engine that recognizes the emotions of tourists. The device (Japanese tourist's smartphone) analyzes the tourist's facial expressions and voice to recognize the tourist's emotions. For example, if the emotion engine recognizes the anxiety a user feels when they are unsure where to find a restaurant, it generates a reassuring response and sends it to the device via the server. The user can receive appropriate guidance on the app, alleviating their anxiety.

[1054] In this way, the present invention provides a system that facilitates communication between tourists, travel agencies, and local experts, and provides attentive support that takes emotions into consideration, thereby enabling travelers to have a more satisfying experience.

[1055] The processing flow will be explained below.

[1056] Step 1:

[1057] A user accesses the system and the initial setup screen is displayed.

[1058] Step 2:

[1059] The terminal displays a form for entering the user's name, nationality, and cultural background.

[1060] Step 3:

[1061] The user enters the required information into the form and presses the submit button.

[1062] Step 4:

[1063] The terminal transmits the input information to the server.

[1064] Step 5:

[1065] The server stores the received information in a database.

[1066] Step 6:

[1067] The server retrieves user data from the database and provides it to the generation AI.

[1068] Step 7:

[1069] Generative AI gathers detailed information about a user's culture and customs from trusted sources on the internet.

[1070] Step 8:

[1071] The generative AI generates tourism guidelines based on the collected information.

[1072] Step 9:

[1073] The server organizes the generated tourist guidelines, converts them into a format that can be used by travel guides and tour guides, and stores them.

[1074] Step 10:

[1075] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts.

[1076] Step 11:

[1077] Terminals (devices of travel agencies or local experts) log in to the portal site and search for and download tourism guidelines.

[1078] Step 12:

[1079] While traveling, users launch a dedicated smartphone app, enter a question on the app, and press the send button.

[1080] Step 13:

[1081] The terminal (user's smartphone) sends the question to the server.

[1082] Step 14:

[1083] The server receives the question and issues processing instructions to the generating AI.

[1084] Step 15:

[1085] The generative AI analyzes the question and generates an appropriate answer.

[1086] Step 16:

[1087] The server sends the generated answer to the user's terminal.

[1088] Step 17:

[1089] The terminal (user's smartphone) displays the answers, which the user can check in real time.

[1090] Step 18:

[1091] The device (user's smartphone) transmits the tourist's facial expressions and voice to the emotion engine, which analyzes this data in real time.

[1092] Step 19:

[1093] The emotion engine recognizes the tourist's emotional state, for example, extracting information if the user is feeling anxious.

[1094] Step 20:

[1095] The emotion engine sends the recognized emotion information to the generation AI.

[1096] Step 21:

[1097] The generative AI adjusts tourism guidelines and real-time answers based on emotional information, generating more appropriate answers.

[1098] Step 22:

[1099] The server sends the tailored response to the user's terminal.

[1100] Step 23:

[1101] The device (user's smartphone) displays the adjusted answer, giving the user a sense of security.

[1102] In this way, the system can provide detailed support through real-time sentiment analysis, as well as provide guidelines that take into account tourists' culture and customs.

[1103] Example 2

[1104] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1105] Tourists often have concerns about culture and customs in foreign countries, and providing appropriate information to alleviate these concerns is essential. Tourists also need real-time support during their trips, particularly detailed responses tailored to their emotional state. Conventional systems lack the functionality to provide information that takes into account the emotional state of tourists, making it difficult to improve satisfaction with the tourist experience.

[1106] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting information on the culture and customs of tourists, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel agencies and local experts, means for generating answers in real time to questions asked by tourists during their trip, means for recognizing the emotional state of the tourists, and means for adjusting the guidelines and answers based on the recognized emotional state. This allows tourists to obtain appropriate information on culture and customs, and also enables them to receive support in real time for their questions and in accordance with their emotional state.

[1107] "Tourists" refer to people who visit a destination and enjoy the local attractions and culture.

[1108] "Culture and customs" is a general term that includes the customs, beliefs, social rules, and lifestyles of a particular region or country.

[1109] "Information collection means" refers to methods and devices that obtain data from tourist input or reliable sources on the Internet.

[1110] "Means for generating tourist guidelines" refers to methods or software for generating instructions and advice for tourists based on the collected information.

[1111] "Means for providing the generated tourism guidelines" refers to the methods and systems for transferring and sharing the generated guidelines with travel agencies and local experts.

[1112] "Means for generating answers in real time" refers to a method or system for generating and providing instantaneous responses to questions from tourists.

[1113] "Means for recognizing emotional states" refers to methods and technologies for analyzing and identifying emotions from tourists' facial expressions, voice, input text, etc.

[1114] "Means for adjusting guidelines and responses" refers to methods and software for modifying and changing the content to best suit the tourist based on the perceived emotional state.

[1115] "Server" refers to a computer system for storing, processing, and transmitting data.

[1116] "Device" refers to the device (smartphone, tablet, PC, etc.) used by tourists, travel agencies, and local experts to input and receive information.

[1117] "Database" refers to the system for storing and managing tourist information, generated guidelines, questions and answers.

[1118] This invention combines an emotion engine with a system that collects information on tourists' cultures and customs, generates tourism guidelines based on that information, and provides them to tourists. The system aims to promote smooth communication between tourists, travel agencies, and local experts, thereby improving tourist satisfaction.

[1119] Initial Setup and User Data Collection

[1120] When a user first accesses the system, an initial setup screen is displayed. The terminal displays a form for entering the user's name, nationality, and cultural background. The user enters this information and presses the submit button. The terminal sends the entered information to the server using an HTTP POST request. The server stores the received information in a database using an SQL query.

[1121] Data analysis and information provision using generative AI

[1122] The server retrieves user data from the database using a SQL SELECT query. Based on this user data, the server generates a prompt to be provided to the generative AI model. The generated prompt has the following format:

[1123] "This tourist has a Japanese cultural background and is visiting the United States. Please provide the best guidelines for Japanese tourists. For example, please include how to pay tips at local restaurants and things to be aware of when traveling. Also, please provide some reassuring advice that takes into consideration the feelings of tourists."

[1124] The generative AI model gathers detailed information about tourists' cultures and customs from reliable sources on the Internet based on the provided prompt, and generates appropriate guidelines based on that information. The server organizes the generated guidelines, converts them into a specific format (e.g., PDF or HTML), and saves them.

[1125] Sharing information and providing guidelines

[1126] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Specifically, the guideline files are saved in a specific directory on the server, and the URL is linked to the portal site. Travel agencies and local experts can log in to the portal site and download and use the guidelines related to specific tourists.

[1127] Travel support and emotional engine

[1128] Users (tourists) can receive real-time support during their trip through a dedicated smartphone app. The user enters a question on the app and presses the send button. The device sends this question to the server using an HTTP POST request. The server converts the question content into a prompt sentence to be provided to the generative AI model and issues processing instructions to the generative AI model. The generative AI model analyzes the question content and generates an appropriate answer based on that. The server sends the generated answer back to the device, and the device displays the received answer to the user.

[1129] Introducing the Emotion Engine

[1130] The system is equipped with an emotion engine, and the device analyzes the tourist's facial expressions, voice, and input text in real time, sending the results to the emotion engine. The emotion engine recognizes the tourist's emotions and uses that information to adjust the generated tourism guidelines and real-time responses. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate a response that provides reassurance.

[1131] Specific examples

[1132] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generative AI model. The generative AI model collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note regarding common travel issues that Japanese people may encounter. In addition, the emotion engine recognizes the tourist's emotions and provides appropriate advice, including words of comfort and encouragement, if the tourist feels anxious.

[1133] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1134] Step 1:

[1135] When a user accesses the initial setup screen, a form for entering the user's name, nationality, and cultural background is displayed on the terminal. The user enters this information and presses the submit button. As input, the user enters their name ("Yamada Taro"), nationality ("Japan"), and cultural background ("Traditional Japanese Customs"). The terminal sends this input data to the server using an HTTP POST request.

[1136] Step 2:

[1137] The server receives the user data sent from the device and stores it in a database. The server uses an SQL query to execute commands such as "INSERT INTO user_data (name, nationality, cultural_background) VALUES ("Yamada Taro", "Japan", "Traditional Japanese Customs")". As an output, a new record is added to the database and the user information is stored.

[1138] Step 3:

[1139] The server retrieves user data from the database. It uses an SQL SELECT query, executing a command like "SELECT FROM user_data WHERE name = 'Yamada Taro'". As input, it sets the search criteria based on the user's name. As output, it retrieves the data related to that particular user.

[1140] Step 4:

[1141] The server generates a prompt for the generative AI model based on the acquired user data. The server creates a prompt like this: "This tourist has a Japanese cultural background and is visiting the United States. Please provide the best guidelines for Japanese tourists." Using the user data (name, nationality, cultural background) as input, the server sends the generated prompt to the generative AI model.

[1142] Step 5:

[1143] The generative AI model gathers detailed information based on the provided prompt text and generates tourism guidelines. It uses the prompt text as input and collects data from reliable sources on the internet. The output is tourism guidelines, such as "tipping customs in American restaurants and travel precautions for Japanese people."

[1144] Step 6:

[1145] The server converts the generated tourism guidelines into an appropriate format (e.g., PDF or HTML) and saves them. The server uses format conversion libraries and tools to format the guidelines obtained from the generative AI model. Using the generated guidelines as input, a formatted guideline file is created as output.

[1146] Step 7:

[1147] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Specifically, the file is saved in a specific directory on the server and its URL is linked to the portal site. The generated guideline file is used as input, and the uploaded URL is generated as output.

[1148] Step 8:

[1149] The terminals of travel agencies and local experts log in to the portal site to download the guidelines related to a specific tourist. After authentication using a username and password, the necessary guidelines are obtained. The portal site URL is used as input, and the guideline file is downloaded to the terminal as output.

[1150] Step 9:

[1151] During their trip, users receive real-time support through a dedicated smartphone app. The user enters a question into the app and presses the send button. The user's question (e.g., "I don't know how to order at a restaurant") is entered as input, and the device sends this information to the server using an HTTP POST request.

[1152] Step 10:

[1153] The server receives questions from users and converts them into appropriate prompts for the generative AI model. Using the user question as input, it generates prompts such as, "Please tell me the question in Japanese. Please generate an appropriate answer taking into account the cultural background of the tourist." As output, a prompt is generated to be provided to the generative AI model.

[1154] Step 11:

[1155] The generative AI model analyzes the question and generates an appropriate answer based on it. It uses the prompt received as input and generates an appropriate answer as output. For example, it generates an answer like, "Please explain how to order in English in a simple way at a restaurant."

[1156] Step 12:

[1157] The server returns the generated answer to the terminal. It uses the generated answer as input and sends it to the terminal as an HTTP response. As output, it returns the answer data that the terminal receives.

[1158] Step 13:

[1159] The device displays the received answers to the user, who can then check the appropriate answers on the app and receive support during their trip.The answer data received from the server is used as input, and is displayed on the app screen as output.

[1160] Step 14:

[1161] The terminal analyzes the tourist's facial expressions, voice, input text, etc. and sends them to the emotion engine. It monitors the tourist's emotional state in real time and sends the analyzed data to the emotion engine. It uses the tourist's emotional data as input and generates data that is sent to the emotion engine as output.

[1162] Step 15:

[1163] The emotion engine recognizes tourists' emotions and adjusts the generated tourism guidelines and real-time answers based on that information. It uses the emotion data sent as input and generates adjusted guidelines and answers as output. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate guidelines and answers that provide reassurance.

[1164] (Application example 2)

[1165] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1166] There are problems with tourists understanding local culture and customs and communicating smoothly at their travel destinations. It is also difficult to get appropriate answers to questions in real time while traveling. Furthermore, there is a lack of means to recognize tourists' emotions and provide detailed support according to the situation, which is likely to result in a decrease in tourist satisfaction.

[1167] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting information on tourists' cultures and customs, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel agencies and local experts, means for generating answers in real time to questions asked by tourists during their trip, means for recognizing tourists' emotions, and means for adjusting the guidelines and answers based on the tourists' emotions. This makes it easier for tourists to understand local cultures and customs, allows them to receive appropriate answers in real time, and enables them to receive detailed support tailored to their emotions.

[1168] "Means for collecting information on tourists' culture and customs" refers to devices or systems that have the function of obtaining data related to the cultural background and customs of tourists based on information entered by the tourists.

[1169] A "means for generating tourism guidelines" is a device or system that has the function of creating guidelines containing necessary information and precautions for tourists at their travel destinations based on collected information on culture and customs.

[1170] The "means for providing the generated tourism guidelines to travel agencies and local experts" refers to a portal site or system that allows travel agencies and local tourist guides to access the generated tourism guidelines.

[1171] A "means for generating answers in real time to questions from tourists during their trip" is a device or system that has the function of instantly receiving inquiries from tourists and automatically generating and providing appropriate answers to those inquiries.

[1172] A "means for recognizing tourist emotions" is a device or system that has the function of analyzing the facial expressions, voices, and text input by tourists to identify their emotional state.

[1173] "Means for adjusting guidelines and answers based on tourists' emotions" refers to a device or system that has the function of automatically changing and adjusting the guidelines and answers provided in accordance with the recognized emotional state of tourists.

[1174] This system generates guidelines based on the culture and customs of tourists and responds to their questions in real time. Furthermore, it incorporates an emotion engine to provide answers and guidelines that reflect the tourists' emotions, thereby enhancing the tourist experience.

[1175] System Overview

[1176] This system mainly consists of the following components:

[1177] 1. Means of collecting information about tourists' culture and customs:

[1178] Data on cultural background and customs is collected based on information entered by users (tourists).

[1179] Users enter their name, nationality, and cultural background through a smartphone app.

[1180] 2. Means of generating tourism guidelines:

[1181] Based on the collected information, the generative AI generates tourism guidelines.

[1182] The server receives the information and creates tourist guidelines using a generation AI.

[1183] 3. Means of providing the generated tourism guidelines:

[1184] The generated guidelines are uploaded to a portal site that can be accessed by travel agencies and local experts.

[1185] Travel agents and local experts log into the portal and download relevant guidelines for specific tourists.

[1186] 4. Real-time answer generation methods:

[1187] It receives user (tourist) questions in real time and generates and provides appropriate answers.

[1188] Users input questions via a smartphone app, and the server generates answers using generative AI.

[1189] 5. Means of recognizing tourists' emotions:

[1190] It analyzes the user's facial expressions, voice, and input text to recognize emotions.

[1191] The smartphone analyzes emotions using an emotion engine.

[1192] 6. How to adjust guidelines and responses based on emotions:

[1193] Based on the recognized emotional information, the generative AI adjusts the guidelines and response content.

[1194] The server sends guidelines and answers based on the generated emotions to the user's device.

[1195] Hardware and Software

[1196] Hardware: smartphones, servers, databases.

[1197] Software: Created smartphone apps, generative AI models, emotion engines, and portal sites.

[1198] Specific examples

[1199] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI then collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[1200] Furthermore, this system is equipped with an emotion engine that recognizes the emotions of tourists. The device (Japanese tourist's smartphone) analyzes the tourist's facial expressions and voice to recognize the tourist's emotions. For example, if the emotion engine recognizes the anxiety a user feels when they are unsure where to find a restaurant, it generates a reassuring response and sends it to the device via the server. The user can receive appropriate guidance on the app, alleviating their anxiety.

[1201] Prompt Sentence Examples

[1202] Prompt statement:

[1203] "Username: Taro, Nationality: Japanese, Cultural background: Traditional Japanese customs, Travel destination: America"

[1204] "Generate cultural guidelines that Japanese tourists should know about in the United States."

[1205] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1206] Step 1:

[1207] The user (tourist) initializes the smartphone app. The user inputs information such as their name, nationality, and cultural background, and submits it. This information is sent from the device to the server. The input data includes the user's name, nationality, and cultural background. The server receives this and stores it in a database.

[1208] Step 2:

[1209] The server provides the received user data to the generation AI. The server then sends a prompt to the generation AI to generate tourism guidelines that suit the user's culture and customs. Specifically, data such as "User name: Taro, Nationality: Japan, Cultural background: Traditional Japanese customs, Travel destination: America" ​​is sent. Based on this data, the generation AI generates tourism guidelines that suit the user's travel destination.

[1210] Step 3:

[1211] The server organizes the tourist guidelines received from the AI ​​generator, converts them into a format that can be used by travel guides and tour guides, and stores them in a database. The generated guidelines include specific tourist information tailored to the user's cultural background (e.g., tipping practices in American restaurants).

[1212] Step 4:

[1213] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Travel agencies and local experts log in to this portal site on their devices and download and use the guidelines related to specific tourists. After uploading, the guidelines are provided in a format (e.g., PDF format) that is easily accessible to travel agencies and local guides.

[1214] Step 5:

[1215] While traveling, users input questions through a smartphone app. The device then sends the question data to a server. The questions include specific questions (e.g., "How much should I tip at restaurants in the United States?"). The server receives the question data and issues processing instructions to the AI.

[1216] Step 6:

[1217] The server uses a generation AI to analyze the user's question and generate an appropriate answer. The generation AI generates an appropriate answer from the input question and returns the result to the server. The analysis results of the generation AI include a specific answer to the user's question (e.g., "In America, a tip of 15-20% of the meal price is generally appropriate.").

[1218] Step 7:

[1219] The server receives the answer from the AI ​​generator and sends it to the device. The device displays the received answer to the user. The user can check the answer generated by the AI ​​generator in real time on the smartphone app.

[1220] Step 8:

[1221] The device analyzes the tourist's facial expressions, voice, input text, etc. in real time and sends the data to the emotion engine. For example, if a user inputs a question with an anxious expression or voice, the data is sent to the emotion engine. The emotion engine analyzes this data and recognizes the tourist's emotional state.

[1222] Step 9:

[1223] Based on the emotion data from the emotion engine, the server instructs the generation AI to adjust guidelines and responses according to the emotion. The generation AI uses the emotion data to generate responses that will reassure tourists. For example, if anxiety is recognized, it generates a response that gives a sense of security.

[1224] Step 10:

[1225] The server sends the adjusted guidelines and answers to the device, which receives them and displays them to the user. This allows users to receive detailed support in real time according to their emotional state.

[1226] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1227] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1228] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1229] [Fourth embodiment]

[1230] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1231] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1232] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1233] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1234] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1235] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1236] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1237] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1238] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1239] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1240] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1241] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1242] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1243] System Overview

[1244] This invention is a system that collects information on tourists' cultures and customs, and generates and provides tourism guidelines based on that information. The system aims to promote smooth communication between tourists, travel agencies, and local experts, and to provide a more satisfying travel experience.

[1245] Initial Setup and User Data Collection

[1246] When a user accesses this system, an initial setup screen is displayed first. A form for entering the user's name, nationality, cultural background, etc. is displayed on the terminal. After the user enters this information and presses the send button, the terminal sends the input data to the server. The server stores the received data in a database.

[1247] Data analysis and information provision using generative AI

[1248] The server retrieves user data from the database and provides it to the generation AI. The generation AI then collects further detailed information about the tourist's culture and customs from reliable sources on the Internet. Based on this collected information, the generation AI generates guidelines tailored to the tourist's culture. The server then organizes the generated guidelines, converts them into a format that can be used by travel guides and tour guides, and saves them.

[1249] Sharing information and providing guidelines

[1250] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Terminals (devices of travel agencies and local experts) log in to the portal site and download and use the guidelines related to specific tourists.

[1251] Travel support

[1252] While traveling, users (tourists) can receive real-time support through a dedicated smartphone app. Users enter a question on the app and press the send button, which sends the question to a server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question, generates an appropriate answer, and sends it back to the device via the server. On the device, travelers can instantly check the answer on the app.

[1253] Specific examples

[1254] For example, consider the case of a Japanese tourist traveling to the United States. The user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits in American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[1255] The server uploads these guidelines to a portal site, and devices (American travel agencies and tour guides) download and use the guidelines from the portal site. While traveling, users (Japanese tourists) input questions about "tipping customs at local restaurants" through the app. The server receives the question, and the AI ​​generator generates an answer - "It is customary to give a 15% to 20% tip at American restaurants" - and sends it back to the device. Users can check this answer on the app and use it to guide their actions at their travel destination.

[1256] In this way, the present invention provides a system that facilitates communication between tourists, travel agencies, and local experts, resulting in a more satisfying travel experience.

[1257] The processing flow will be explained below.

[1258] Step 1:

[1259] A user accesses the system and the initial setup screen is displayed.

[1260] Step 2:

[1261] The device displays a form for entering the user's name, nationality, and cultural background.

[1262] Step 3:

[1263] The user enters the required information into the form and presses the submit button.

[1264] Step 4:

[1265] The terminal transmits the input information to the server.

[1266] Step 5:

[1267] The server stores the received information in a database.

[1268] Step 6:

[1269] The server retrieves user data from the database and provides it to the generation AI.

[1270] Step 7:

[1271] Generative AI gathers detailed information about a user's culture and customs from trusted sources on the internet.

[1272] Step 8:

[1273] The generative AI generates tourism guidelines based on the collected information.

[1274] Step 9:

[1275] The server organizes the generated tourist guidelines, converts them into a format that can be used by travel guides and tour guides, and stores them.

[1276] Step 10:

[1277] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts.

[1278] Step 11:

[1279] The terminal (travel agency or local expert) logs in to the portal site and searches for and downloads tourism guidelines.

[1280] Step 12:

[1281] While traveling, users launch a dedicated smartphone app, enter their questions, and send them.

[1282] Step 13:

[1283] The terminal sends a query to the server.

[1284] Step 14:

[1285] The server receives the question and issues processing instructions to the generating AI.

[1286] Step 15:

[1287] The generative AI analyzes the question and generates an appropriate answer.

[1288] Step 16:

[1289] The server sends the generated answer to the user's terminal.

[1290] Step 17:

[1291] The terminal displays the answer, and the user can check the answer in real time.

[1292] Example 1

[1293] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1294] Conventional methods of providing tourism guidelines have difficulty adapting to the diverse cultures and customs of tourists, making it impossible to provide optimal guidelines for individual tourists. Furthermore, there was a lack of ways for tourists to ask questions in real time and receive appropriate answers while traveling, making it impossible to provide a satisfying travel experience.

[1295] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1296] In this invention, the server includes a means for collecting tourist attribute information, a means for using a generative AI model to generate tourist guidelines based on the collected information, and a means for providing the generated tourist guidelines to travel-related companies and local guides. This makes it possible to provide customized guidelines according to the culture and customs of each tourist, and to provide appropriate answers in real time to questions from tourists during their trip.

[1297] "Tourists" are people who visit a particular area for the purpose of sightseeing.

[1298] "Attribute information" refers to personal information such as tourists' names, nationalities, and cultural backgrounds.

[1299] A "generative AI model" refers to an artificial intelligence system that analyzes data and generates information based on collected attribute information.

[1300] "Travel-related companies" refers to companies and organizations that handle travel services, including travel agencies and tour operators.

[1301] A "local guide" refers to a professional who provides guidance and support to tourists at tourist destinations.

[1302] "Information provision system" refers to an online platform that provides generated guidelines and information in a form that can be accessed by travel-related companies and local guides.

[1303] "Database" refers to a digital information management system for storing tourist input information and generated guidelines.

[1304] "Real time" refers to providing actions and information in accordance with the current time.

[1305] This invention is a system for generating and providing tourism guidelines tailored to the culture and customs of tourists. The system facilitates communication between tourists, travel-related companies, and local guides, and provides real-time support during travel.

[1306] System Overview

[1307] Initial Setup and User Data Collection

[1308] When a user accesses the system, an initial setup screen is displayed. The terminal displays a form for entering the user's name, nationality, cultural background, etc. The user enters this information and presses the send button. The electronic device (terminal) can be a personal computer or smartphone. The terminal sends the input data to the server, and the server stores the received data in a database.

[1309] Data analysis and information provision using generative AI

[1310] The server retrieves user data from the database and provides it to a generative AI model. The generative AI model then collects information about the tourist's culture and customs from reliable sources on the Internet and generates guidelines tailored to the tourist's culture. Generative AI models such as GPT-3 and ChatGPT are used. The server then organizes the generated guidelines, converts them into a standard format, and saves them.

[1311] Sharing information and providing guidelines

[1312] The server uploads the generated tourist guidelines to an information system that can be accessed by travel-related companies and local guides. Terminals (devices of travel-related companies and local guides) can log in to the information system and download and use the guidelines related to specific tourists.

[1313] Travel support

[1314] During their trip, users (tourists) can receive real-time support through a dedicated smartphone app. When a user enters a question on the app and presses the send button, the question is sent to a server. The server receives the question and issues processing instructions to a generative AI model. The generative AI model analyzes the content of the question, generates an appropriate answer, and sends it back to the device via the server. The user can instantly check the answer on the app.

[1315] Specific examples

[1316] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generative AI model. The generative AI model collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note about common travel troubles that Japanese people may encounter. The server uploads these guidelines to an information system, and devices (American travel-related companies and tour guides) download and use the guidelines from the information system.

[1317] While traveling, users (Japanese tourists) input questions about "tipping customs at local restaurants" through the app. The server receives the question, and the generative AI model generates an answer: "It is customary to give a 15% to 20% tip at American restaurants," which is sent back to the device. Users can then check this answer on the app and use it to guide their travels.

[1318] Prompt Sentence Examples

[1319] Example prompt for a generative AI model:

[1320] "Generate guidelines for Japanese tourists traveling in the United States. Consider the following information: Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs."

[1321] In this way, the invention facilitates communication between tourists, travel-related businesses, and local guides, helping travelers have a more satisfying experience.

[1322] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1323] Step 1:

[1324] When a user accesses the system, the terminal displays an initial setup screen. This screen contains a form for entering the user's name, nationality, and cultural background. The user enters this information and presses the submit button. The entered data is name (e.g., "Yamada Taro"), nationality (e.g., "Japan"), and cultural background (e.g., "Traditional Japanese Customs").

[1325] Step 2:

[1326] The terminal sends the information entered by the user to the server, which stores the received data in a database. The input is user data, specifically information such as "Yamada Taro, Japan, traditional Japanese customs." This data is then processed to store accurately in the database.

[1327] Step 3:

[1328] The server retrieves the stored user data from the database. The input is the user data retrieved from the database, and based on this, it generates a prompt for the generative AI model. Specifically, it creates a prompt such as "Please generate guidelines for Japanese tourists who have traditional Japanese customs."

[1329] Step 4:

[1330] The server provides the generated prompt sentences to the generative AI model, which then collects information about tourists' cultures and customs from reliable sources on the Internet based on the input prompt sentences and generates tourist guidelines. The generated guidelines are then sent back to the server as output.

[1331] Step 5:

[1332] The server organizes the generated tourist guideline, converts it into a standard format (e.g. PDF or HTML format) and saves it. This format conversion requires data calculations to adjust it to the appropriate format.

[1333] Step 6:

[1334] The server uploads the organized guidelines to the information system. At this point, the input is the formatted guidelines, and the uploaded guidelines are output. Travel-related companies and local guides can access the information system using their terminals and download and use the relevant guidelines.

[1335] Step 7:

[1336] During their trip, users receive real-time support using a dedicated smartphone app. By entering a question into the app and pressing the send button, the question is sent from the device to the server. For example, a user can ask about tipping practices in American restaurants.

[1337] Step 8:

[1338] The server receives the question and issues processing instructions to the generative AI model, which analyzes the input question and generates an appropriate answer (e.g., "In American restaurants, it is customary to leave a tip of 15% to 20%). This answer is then sent back to the server as output.

[1339] Step 9:

[1340] The server receives the generated answer and sends it back to the device, where the user can instantly view the answer in the app and use it to guide their travel plans. This final step resolves the user's question and improves their travel experience.

[1341] (Application example 1)

[1342] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1343] International travel and food delivery services are on the rise, but travelers often lack sufficient information about food customs and delivery methods in other cultures. As a result, travelers can experience various inconveniences and misunderstandings when dining out or using delivery services. They must adapt to cultural differences, particularly tipping practices and religious dietary restrictions. It is necessary to resolve these issues and provide travelers with a more comfortable and smooth delivery service.

[1344] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1345] In this invention, the server includes means for collecting information on the culture and customs of tourists, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel management personnel and local experts, means for generating answers in real time to questions from tourists during their trip, means for generating guidelines on food and delivery services based on the cultural background of the tourists, and means for providing the generated guidelines to the tourists. This enables travelers to receive accurate guidelines on how to use food and drink information and services appropriate for their cultural background, reducing inconvenience and misunderstandings regarding the use of local meals and delivery services and achieving a more satisfying travel experience.

[1346] A "tourist" is an individual who visits a particular region or country for the purpose of travel or tourism.

[1347] "Culture and customs" are the set of social, religious, or everyday behaviors and beliefs shared by people in a particular country or region.

[1348] "Tourism guidelines" are guides and advice for tourists to have a comfortable stay in the region or country they visit.

[1349] "Travel management personnel" are people who plan and manage trips at travel agencies, tour operators, etc.

[1350] "Local experts" are local people or guides with specific knowledge and experience of the tourist destination or its surroundings.

[1351] "Questions" are questions that tourists ask to seek information about questions or concerns they have while traveling.

[1352] "Means for generating answers in real time" refers to technologies and methods that generate and provide appropriate information immediately when tourists ask questions.

[1353] "Food and delivery service guidelines" refers to instructions and advice on local food culture and how to use delivery services.

[1354] The "means for providing the guidelines" refers to the methods and techniques for actually providing the generated guidelines to tourists.

[1355] A "server" is a computer system for processing, storing, and transmitting data over a network.

[1356] The system for implementing this invention includes a series of processes for collecting information on the culture and customs of tourists and generating tourist guidelines based on that information. This will be explained in detail below.

[1357] Components

[1358] 1. Server

[1359] The server is responsible for all data processing and information provision. The server is equipped with the following means:

[1360] Data collection method: Collect information such as tourist's name, nationality, cultural background, etc.

[1361] Database: Stores collected user information.

[1362] Generative AI: Generates guidelines for food and delivery services based on tourists' cultural backgrounds.

[1363] Portal site: Operate a web portal to provide the generated guidelines to travel management personnel and local experts.

[1364] 2. Device (smartphone app)

[1365] The terminal is a device used by tourists and travel management personnel to receive guidelines and support provided by the server. The terminal includes an interface for submitting questions and inquiries in real time and an interface for displaying answers from the server.

[1366] 3. Users

[1367] Users are tourists who access the system to receive guidelines and assistance based on their own culture and customs.

[1368] Program processing explanation

[1369] Initial Setup and User Data Collection

[1370] When a user accesses the application for the first time, an initial setup screen is displayed. Here, the user enters their name, nationality, cultural background, etc. Then, by pressing the submit button, the information is sent to the server. The server receives this data and stores it in a database.

[1371] Data analysis and guideline generation

[1372] The server retrieves user data from the database and provides it to the AI ​​generator, which then generates guidelines for food and delivery services based on detailed information about the tourist's culture and customs. These guidelines are then organized on the server and converted into a format that tourists can use.

[1373] Sharing and providing information

[1374] The server uploads the generated guidelines to a portal site, where travel management personnel and local experts can log in and download the guidelines relevant to a specific tourist.

[1375] Real-time Support

[1376] During their trip, tourists can receive real-time support through the app. By entering a question on the app and pressing the send button, the question is sent to the server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question, generates an appropriate answer, and sends it back to the user's device via the server. The user can immediately check the answer on the app.

[1377] Specific examples

[1378] For example, consider the case of a Japanese tourist staying in the United States. The tourist enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits the data. The server acquires this data and provides it to the generation AI. The generation AI generates guidelines for the United States based on information based on Japanese culture and customs. For example, these guidelines include tips on tipping practices at local restaurants and cultural considerations regarding meals. This allows the tourist to use local delivery services with peace of mind.

[1379] Example prompt sentence:

[1380] 1. Initial User Information Settings:

[1381] Name: Taro, Nationality: Japanese, Cultural Background: Traditional Japanese Customs

[1382] 2. Food recommendation request:

[1383] User ID: user123

[1384] 3. Request guidelines:

[1385] Q: What is the tipping custom at local restaurants?

[1386] This system will enable travelers to receive information and support appropriate to their cultural background, reducing inconvenience and misunderstandings while on-site and allowing them to enjoy a comfortable travel experience.

[1387] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1388] Step 1:

[1389] The user launches the smartphone app and accesses the initial setup screen.

[1390] Input: Information such as the user's name, nationality, and cultural background.

[1391] Specific operation: The user enters the required information into the form displayed in the app and presses the submit button, which causes the app to send the entered information to the server.

[1392] Output: The user information sent to the server.

[1393] Step 2:

[1394] The server stores the received user information in a database.

[1395] Input: User information submitted in step 1.

[1396] Specific operation: The server analyzes the received data and stores each field (name, nationality, cultural background) in a database.

[1397] Output: User information stored in the database.

[1398] Step 3:

[1399] The server retrieves user data from the database and provides it to the generation AI.

[1400] Input: User information in the database.

[1401] Specific operation: The server extracts data associated with a specific user ID from the database and passes it to the generation AI.

[1402] Output: User data provided to the generative AI.

[1403] Step 4:

[1404] Generative AI generates tourist guidelines based on the user's cultural background.

[1405] Input: User data provided by the server.

[1406] How it works: The generative AI collects additional information from reliable sources on the internet and generates tourism guidelines based on that information.

[1407] Output: Generated tourism guidelines.

[1408] Step 5:

[1409] The server organizes the generated tourist guidelines and converts them into a usable format.

[1410] Input: Tourist guidelines output from the generative AI.

[1411] Specific operation: The server checks the contents of the guidelines and converts them into a format that is easy for users to use (e.g., PDF or web page).

[1412] Output: Guidelines converted into a usable format.

[1413] Step 6:

[1414] The server uploads the generated tourist guideline to a portal site.

[1415] Input: Guidelines converted into a usable format.

[1416] What it does: The server uploads the guidelines to a portal site where they can be accessed by travel management personnel and local experts.

[1417] Output: Guidelines uploaded to the portal.

[1418] Step 7:

[1419] During the trip, users receive real-time support via a smartphone app.

[1420] Input: The user's question.

[1421] Specific operation: The user enters a question in the question field within the app and sends it to the server.

[1422] Output: The question sent to the server.

[1423] Step 8:

[1424] The server receives the question and issues processing instructions to the generation AI.

[1425] Input: The question submitted by the user.

[1426] Specific operation: The server analyzes the received question and sends an appropriate prompt to the generation AI.

[1427] Output: The prompt sent to the generation AI.

[1428] Step 9:

[1429] The generative AI analyzes the question and generates an appropriate answer.

[1430] Input: The prompt sent to the generation AI.

[1431] Specific operation: The generative AI analyzes the question based on the prompt text, collects the necessary information from reliable sources on the Internet, and generates an answer.

[1432] Output: The generated answer.

[1433] Step 10:

[1434] The server sends the generated response to the terminal.

[1435] Input: The answer output by the generation AI.

[1436] Specific operation: The server checks the generated answer and sends it to the user's device.

[1437] Output: The answer displayed on the user's terminal.

[1438] This process allows tourists to receive timely cultural and customary guidelines and appropriate support during their trip, reducing inconvenience and misunderstandings while on-site and ensuring a comfortable travel experience.

[1439] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1440] System Overview

[1441] This invention combines a system that collects information on tourists' cultures and customs, generates tourism guidelines based on that information, and provides them with an emotion engine. The system aims to promote smooth communication between tourists, travel agencies, and local experts, thereby improving tourist satisfaction.

[1442] Initial Setup and User Data Collection

[1443] When a user accesses the system for the first time, an initial setup screen is displayed. A form for entering the user's name, nationality, and cultural background is displayed on the terminal. The user enters this information and presses the send button. The terminal sends the entered information to the server. The server stores the received information in a database.

[1444] Data analysis and information provision using generative AI

[1445] The server retrieves user data from the database and provides it to the generation AI. The generation AI then collects further detailed information about the tourist's culture and customs from reliable sources on the Internet. Based on this collected information, the generation AI generates guidelines tailored to the tourist's culture. The server then organizes the generated guidelines and converts them into a format that can be used by travel guides and tour guides, and stores them.

[1446] Sharing information and providing guidelines

[1447] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Terminals (devices of travel agencies and local experts) log in to the portal site and download and use the guidelines related to specific tourists.

[1448] Travel support and emotional engine

[1449] Users (tourists) can receive real-time support during their trip through a dedicated smartphone app. The user enters a question into the app and presses the send button. The device then sends the information to the server. The server receives the question and issues processing instructions to the generation AI. The generation AI analyzes the question and generates an appropriate answer.

[1450] Introducing the Emotion Engine

[1451] The system is equipped with an emotion engine that recognizes tourists' emotions. The device analyzes the tourists' facial expressions, voice, and input text in real time and sends the results to the emotion engine. The emotion engine recognizes the tourists' emotions and adjusts the generated tourism guidelines and real-time responses based on that information. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate a response that provides reassurance.

[1452] Specific examples

[1453] For example, when a Japanese tourist travels to the United States, the following process takes place: The user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include things like tipping customs in American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[1454] Furthermore, this system is equipped with an emotion engine that recognizes the emotions of tourists. The device (Japanese tourist's smartphone) analyzes the tourist's facial expressions and voice to recognize the tourist's emotions. For example, if the emotion engine recognizes the anxiety a user feels when they are unsure where to find a restaurant, it generates a reassuring response and sends it to the device via the server. The user can receive appropriate guidance on the app, alleviating their anxiety.

[1455] In this way, the present invention provides a system that facilitates communication between tourists, travel agencies, and local experts, and provides attentive support that takes emotions into consideration, thereby enabling travelers to have a more satisfying experience.

[1456] The processing flow will be explained below.

[1457] Step 1:

[1458] A user accesses the system and the initial setup screen is displayed.

[1459] Step 2:

[1460] The terminal displays a form for entering the user's name, nationality, and cultural background.

[1461] Step 3:

[1462] The user enters the required information into the form and presses the submit button.

[1463] Step 4:

[1464] The terminal transmits the input information to the server.

[1465] Step 5:

[1466] The server stores the received information in a database.

[1467] Step 6:

[1468] The server retrieves user data from the database and provides it to the generation AI.

[1469] Step 7:

[1470] Generative AI gathers detailed information about a user's culture and customs from trusted sources on the internet.

[1471] Step 8:

[1472] The generative AI generates tourism guidelines based on the collected information.

[1473] Step 9:

[1474] The server organizes the generated tourist guidelines, converts them into a format that can be used by travel guides and tour guides, and stores them.

[1475] Step 10:

[1476] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts.

[1477] Step 11:

[1478] Terminals (devices of travel agencies or local experts) log in to the portal site and search for and download tourism guidelines.

[1479] Step 12:

[1480] While traveling, users launch a dedicated smartphone app, enter a question on the app, and press the send button.

[1481] Step 13:

[1482] The terminal (user's smartphone) sends the question to the server.

[1483] Step 14:

[1484] The server receives the question and issues processing instructions to the generating AI.

[1485] Step 15:

[1486] The generative AI analyzes the question and generates an appropriate answer.

[1487] Step 16:

[1488] The server sends the generated answer to the user's terminal.

[1489] Step 17:

[1490] The terminal (user's smartphone) displays the answers, which the user can check in real time.

[1491] Step 18:

[1492] The device (user's smartphone) transmits the tourist's facial expressions and voice to the emotion engine, which analyzes this data in real time.

[1493] Step 19:

[1494] The emotion engine recognizes the tourist's emotional state, for example, extracting information if the user is feeling anxious.

[1495] Step 20:

[1496] The emotion engine sends the recognized emotion information to the generation AI.

[1497] Step 21:

[1498] The generative AI adjusts tourism guidelines and real-time answers based on emotional information, generating more appropriate answers.

[1499] Step 22:

[1500] The server sends the tailored response to the user's terminal.

[1501] Step 23:

[1502] The device (user's smartphone) displays the adjusted answer, giving the user a sense of security.

[1503] In this way, the system can provide detailed support through real-time sentiment analysis, as well as provide guidelines that take into account tourists' culture and customs.

[1504] Example 2

[1505] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1506] Tourists often have concerns about culture and customs in foreign countries, and providing appropriate information to alleviate these concerns is essential. Tourists also need real-time support during their trips, particularly detailed responses tailored to their emotional state. Conventional systems lack the functionality to provide information that takes into account the emotional state of tourists, making it difficult to improve satisfaction with the tourist experience.

[1507] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting information on the culture and customs of tourists, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel agencies and local experts, means for generating answers in real time to questions asked by tourists during their trip, means for recognizing the emotional state of the tourists, and means for adjusting the guidelines and answers based on the recognized emotional state. This allows tourists to obtain appropriate information on culture and customs, and also enables them to receive support in real time for their questions and in accordance with their emotional state.

[1508] "Tourists" refer to people who visit a destination and enjoy the local attractions and culture.

[1509] "Culture and customs" is a general term that includes the customs, beliefs, social rules, and lifestyles of a particular region or country.

[1510] "Information collection means" refers to methods and devices that obtain data from tourist input or reliable sources on the Internet.

[1511] "Means for generating tourist guidelines" refers to methods or software for generating instructions and advice for tourists based on the collected information.

[1512] "Means for providing the generated tourism guidelines" refers to the methods and systems for transferring and sharing the generated guidelines with travel agencies and local experts.

[1513] "Means for generating answers in real time" refers to a method or system for generating and providing instantaneous responses to questions from tourists.

[1514] "Means for recognizing emotional states" refers to methods and technologies for analyzing and identifying emotions from tourists' facial expressions, voice, input text, etc.

[1515] "Means for adjusting guidelines and responses" refers to methods and software for modifying and changing the content to best suit the tourist based on the perceived emotional state.

[1516] "Server" refers to a computer system for storing, processing, and transmitting data.

[1517] "Device" refers to the device (smartphone, tablet, PC, etc.) used by tourists, travel agencies, and local experts to input and receive information.

[1518] "Database" refers to the system for storing and managing tourist information, generated guidelines, questions and answers.

[1519] This invention combines an emotion engine with a system that collects information on tourists' cultures and customs, generates tourism guidelines based on that information, and provides them to tourists. The system aims to promote smooth communication between tourists, travel agencies, and local experts, thereby improving tourist satisfaction.

[1520] Initial Setup and User Data Collection

[1521] When a user first accesses the system, an initial setup screen is displayed. The terminal displays a form for entering the user's name, nationality, and cultural background. The user enters this information and presses the submit button. The terminal sends the entered information to the server using an HTTP POST request. The server stores the received information in a database using an SQL query.

[1522] Data analysis and information provision using generative AI

[1523] The server retrieves user data from the database using a SQL SELECT query. Based on this user data, the server generates a prompt to be provided to the generative AI model. The generated prompt has the following format:

[1524] "This tourist has a Japanese cultural background and is visiting the United States. Please provide the best guidelines for Japanese tourists. For example, please include how to pay tips at local restaurants and things to be aware of when traveling. Also, please provide some reassuring advice that takes into consideration the feelings of tourists."

[1525] The generative AI model gathers detailed information about tourists' cultures and customs from reliable sources on the Internet based on the provided prompt, and generates appropriate guidelines based on that information. The server organizes the generated guidelines, converts them into a specific format (e.g., PDF or HTML), and saves them.

[1526] Sharing information and providing guidelines

[1527] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Specifically, the guideline files are saved in a specific directory on the server, and the URL is linked to the portal site. Travel agencies and local experts can log in to the portal site and download and use the guidelines related to specific tourists.

[1528] Travel support and emotional engine

[1529] Users (tourists) can receive real-time support during their trip through a dedicated smartphone app. The user enters a question on the app and presses the send button. The device sends this question to the server using an HTTP POST request. The server converts the question content into a prompt sentence to be provided to the generative AI model and issues processing instructions to the generative AI model. The generative AI model analyzes the question content and generates an appropriate answer based on that. The server sends the generated answer back to the device, and the device displays the received answer to the user.

[1530] Introducing the Emotion Engine

[1531] The system is equipped with an emotion engine, and the device analyzes the tourist's facial expressions, voice, and input text in real time, sending the results to the emotion engine. The emotion engine recognizes the tourist's emotions and uses that information to adjust the generated tourism guidelines and real-time responses. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate a response that provides reassurance.

[1532] Specific examples

[1533] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generative AI model. The generative AI model collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note regarding common travel issues that Japanese people may encounter. In addition, the emotion engine recognizes the tourist's emotions and provides appropriate advice, including words of comfort and encouragement, if the tourist feels anxious.

[1534] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1535] Step 1:

[1536] When a user accesses the initial setup screen, a form for entering the user's name, nationality, and cultural background is displayed on the terminal. The user enters this information and presses the submit button. As input, the user enters their name ("Yamada Taro"), nationality ("Japan"), and cultural background ("Traditional Japanese Customs"). The terminal sends this input data to the server using an HTTP POST request.

[1537] Step 2:

[1538] The server receives the user data sent from the device and stores it in a database. The server uses an SQL query to execute commands such as "INSERT INTO user_data (name, nationality, cultural_background) VALUES ("Yamada Taro", "Japan", "Traditional Japanese Customs")". As an output, a new record is added to the database and the user information is stored.

[1539] Step 3:

[1540] The server retrieves user data from the database. It uses an SQL SELECT query, executing a command like "SELECT FROM user_data WHERE name = 'Yamada Taro'". As input, it sets the search criteria based on the user's name. As output, it retrieves the data related to that particular user.

[1541] Step 4:

[1542] The server generates a prompt for the generative AI model based on the acquired user data. The server creates a prompt like this: "This tourist has a Japanese cultural background and is visiting the United States. Please provide the best guidelines for Japanese tourists." Using the user data (name, nationality, cultural background) as input, the server sends the generated prompt to the generative AI model.

[1543] Step 5:

[1544] The generative AI model gathers detailed information based on the provided prompt text and generates tourism guidelines. It uses the prompt text as input and collects data from reliable sources on the internet. The output is tourism guidelines, such as "tipping customs in American restaurants and travel precautions for Japanese people."

[1545] Step 6:

[1546] The server converts the generated tourism guidelines into an appropriate format (e.g., PDF or HTML) and saves them. The server uses format conversion libraries and tools to format the guidelines obtained from the generative AI model. Using the generated guidelines as input, a formatted guideline file is created as output.

[1547] Step 7:

[1548] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Specifically, the file is saved in a specific directory on the server and its URL is linked to the portal site. The generated guideline file is used as input, and the uploaded URL is generated as output.

[1549] Step 8:

[1550] The terminals of travel agencies and local experts log in to the portal site to download the guidelines related to a specific tourist. After authentication using a username and password, the necessary guidelines are obtained. The portal site URL is used as input, and the guideline file is downloaded to the terminal as output.

[1551] Step 9:

[1552] During their trip, users receive real-time support through a dedicated smartphone app. The user enters a question into the app and presses the send button. The user's question (e.g., "I don't know how to order at a restaurant") is entered as input, and the device sends this information to the server using an HTTP POST request.

[1553] Step 10:

[1554] The server receives questions from users and converts them into appropriate prompts for the generative AI model. Using the user question as input, it generates prompts such as, "Please tell me the question in Japanese. Please generate an appropriate answer taking into account the cultural background of the tourist." As output, a prompt is generated to be provided to the generative AI model.

[1555] Step 11:

[1556] The generative AI model analyzes the question and generates an appropriate answer based on it. It uses the prompt received as input and generates an appropriate answer as output. For example, it generates an answer like, "Please explain how to order in English in a simple way at a restaurant."

[1557] Step 12:

[1558] The server returns the generated answer to the terminal. It uses the generated answer as input and sends it to the terminal as an HTTP response. As output, it returns the answer data that the terminal receives.

[1559] Step 13:

[1560] The device displays the received answers to the user, who can then check the appropriate answers on the app and receive support during their trip.The answer data received from the server is used as input, and is displayed on the app screen as output.

[1561] Step 14:

[1562] The terminal analyzes the tourist's facial expressions, voice, input text, etc. and sends them to the emotion engine. It monitors the tourist's emotional state in real time and sends the analyzed data to the emotion engine. It uses the tourist's emotional data as input and generates data that is sent to the emotion engine as output.

[1563] Step 15:

[1564] The emotion engine recognizes tourists' emotions and adjusts the generated tourism guidelines and real-time answers based on that information. It uses the emotion data sent as input and generates adjusted guidelines and answers as output. For example, if a tourist is feeling anxious, the emotion engine will recognize this and generate guidelines and answers that provide reassurance.

[1565] (Application example 2)

[1566] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1567] There are problems with tourists understanding local culture and customs and communicating smoothly at their travel destinations. It is also difficult to get appropriate answers to questions in real time while traveling. Furthermore, there is a lack of means to recognize tourists' emotions and provide detailed support according to the situation, which is likely to result in a decrease in tourist satisfaction.

[1568] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting information on tourists' cultures and customs, means for generating tourist guidelines based on this information, means for providing the generated tourist guidelines to travel agencies and local experts, means for generating answers in real time to questions asked by tourists during their trip, means for recognizing tourists' emotions, and means for adjusting the guidelines and answers based on the tourists' emotions. This makes it easier for tourists to understand local cultures and customs, allows them to receive appropriate answers in real time, and enables them to receive detailed support tailored to their emotions.

[1569] "Means for collecting information on tourists' culture and customs" refers to devices or systems that have the function of obtaining data related to the cultural background and customs of tourists based on information entered by the tourists.

[1570] A "means for generating tourism guidelines" is a device or system that has the function of creating guidelines containing necessary information and precautions for tourists at their travel destinations based on collected information on culture and customs.

[1571] The "means for providing the generated tourism guidelines to travel agencies and local experts" refers to a portal site or system that allows travel agencies and local tourist guides to access the generated tourism guidelines.

[1572] A "means for generating answers in real time to questions from tourists during their trip" is a device or system that has the function of instantly receiving inquiries from tourists and automatically generating and providing appropriate answers to those inquiries.

[1573] A "means for recognizing tourist emotions" is a device or system that has the function of analyzing the facial expressions, voices, and text input by tourists to identify their emotional state.

[1574] "Means for adjusting guidelines and answers based on tourists' emotions" refers to a device or system that has the function of automatically changing and adjusting the guidelines and answers provided in accordance with the recognized emotional state of tourists.

[1575] This system generates guidelines based on the culture and customs of tourists and responds to their questions in real time. Furthermore, it incorporates an emotion engine to provide answers and guidelines that reflect the tourists' emotions, thereby enhancing the tourist experience.

[1576] System Overview

[1577] This system mainly consists of the following components:

[1578] 1. Means of collecting information about tourists' culture and customs:

[1579] Data on cultural background and customs is collected based on information entered by users (tourists).

[1580] Users enter their name, nationality, and cultural background through a smartphone app.

[1581] 2. Means of generating tourism guidelines:

[1582] Based on the collected information, the generative AI generates tourism guidelines.

[1583] The server receives the information and creates tourist guidelines using a generation AI.

[1584] 3. Means of providing the generated tourism guidelines:

[1585] The generated guidelines are uploaded to a portal site that can be accessed by travel agencies and local experts.

[1586] Travel agents and local experts log into the portal and download relevant guidelines for specific tourists.

[1587] 4. Real-time answer generation methods:

[1588] It receives user (tourist) questions in real time and generates and provides appropriate answers.

[1589] Users input questions via a smartphone app, and the server generates answers using generative AI.

[1590] 5. Means of recognizing tourists' emotions:

[1591] It analyzes the user's facial expressions, voice, and input text to recognize emotions.

[1592] The smartphone analyzes emotions using an emotion engine.

[1593] 6. How to adjust guidelines and responses based on emotions:

[1594] Based on the recognized emotional information, the generative AI adjusts the guidelines and response content.

[1595] The server sends guidelines and answers based on the generated emotions to the user's device.

[1596] Hardware and Software

[1597] Hardware: smartphones, servers, databases.

[1598] Software: Created smartphone apps, generative AI models, emotion engines, and portal sites.

[1599] Specific examples

[1600] For example, when a Japanese tourist travels to the United States, the user (Japanese tourist) enters "Name, Nationality: Japanese, Cultural Background: Traditional Japanese Customs" on the initial setup screen and submits it. The server acquires this data and provides it to the generation AI. The generation AI then collects detailed information about Japanese culture and customs and generates guidelines for Japanese tourists in the United States. For example, the generated guidelines include tips on tipping habits at American restaurants and points to note regarding common travel troubles that Japanese people may encounter.

[1601] Furthermore, this system is equipped with an emotion engine that recognizes the emotions of tourists. The device (Japanese tourist's smartphone) analyzes the tourist's facial expressions and voice to recognize the tourist's emotions. For example, if the emotion engine recognizes the anxiety a user feels when they are unsure where to find a restaurant, it generates a reassuring response and sends it to the device via the server. The user can receive appropriate guidance on the app, alleviating their anxiety.

[1602] Prompt Sentence Examples

[1603] Prompt statement:

[1604] "Username: Taro, Nationality: Japanese, Cultural background: Traditional Japanese customs, Travel destination: America"

[1605] "Generate cultural guidelines that Japanese tourists should know about in the United States."

[1606] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1607] Step 1:

[1608] The user (tourist) initializes the smartphone app. The user inputs information such as their name, nationality, and cultural background, and submits it. This information is sent from the device to the server. The input data includes the user's name, nationality, and cultural background. The server receives this and stores it in a database.

[1609] Step 2:

[1610] The server provides the received user data to the generation AI. The server then sends a prompt to the generation AI to generate tourism guidelines that suit the user's culture and customs. Specifically, data such as "User name: Taro, Nationality: Japan, Cultural background: Traditional Japanese customs, Travel destination: America" ​​is sent. Based on this data, the generation AI generates tourism guidelines that suit the user's travel destination.

[1611] Step 3:

[1612] The server organizes the tourist guidelines received from the AI ​​generator, converts them into a format that can be used by travel guides and tour guides, and stores them in a database. The generated guidelines include specific tourist information tailored to the user's cultural background (e.g., tipping practices in American restaurants).

[1613] Step 4:

[1614] The server uploads the generated tourism guidelines to a portal site that can be accessed by travel agencies and local experts. Travel agencies and local experts log in to this portal site on their devices and download and use the guidelines related to specific tourists. After uploading, the guidelines are provided in a format (e.g., PDF format) that is easily accessible to travel agencies and local guides.

[1615] Step 5:

[1616] While traveling, users input questions through a smartphone app. The device then sends the question data to a server. The questions include specific questions (e.g., "How much should I tip at restaurants in the United States?"). The server receives the question data and issues processing instructions to the AI.

[1617] Step 6:

[1618] The server uses a generation AI to analyze the user's question and generate an appropriate answer. The generation AI generates an appropriate answer from the input question and returns the result to the server. The analysis results of the generation AI include a specific answer to the user's question (e.g., "In America, a tip of 15-20% of the meal price is generally appropriate.").

[1619] Step 7:

[1620] The server receives the answer from the AI ​​generator and sends it to the device. The device displays the received answer to the user. The user can check the answer generated by the AI ​​generator in real time on the smartphone app.

[1621] Step 8:

[1622] The device analyzes the tourist's facial expressions, voice, input text, etc. in real time and sends the data to the emotion engine. For example, if a user inputs a question with an anxious expression or voice, the data is sent to the emotion engine. The emotion engine analyzes this data and recognizes the tourist's emotional state.

[1623] Step 9:

[1624] Based on the emotion data from the emotion engine, the server instructs the generation AI to adjust guidelines and responses according to the emotion. The generation AI uses the emotion data to generate responses that will reassure tourists. For example, if anxiety is recognized, it generates a response that gives a sense of security.

[1625] Step 10:

[1626] The server sends the adjusted guidelines and answers to the device, which receives them and displays them to the user. This allows users to receive detailed support in real time according to their emotional state.

[1627] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1628] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1629] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1630] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1631] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1632] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1633] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1634] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1635] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1636] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1637] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1638] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1639] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1640] 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.

[1641] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1642] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1643] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1644] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1645] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1646] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1647] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1648] The following is further disclosed regarding the above embodiment.

[1649] (Claim 1)

[1650] a means of collecting information about tourists' culture and customs;

[1651] a means of generating tourism guidelines based on this information;

[1652] A means to provide the generated tourism guidelines to travel agencies and local experts;

[1653] A system including a means for generating real-time answers to questions of tourists during their travels.

[1654] (Claim 2)

[1655] 10. The system of claim 1, further comprising means for storing the tourist input information in a database.

[1656] (Claim 3)

[1657] 10. The system of claim 1, further comprising means for uploading the generated tourism guidelines to a portal site accessible to travel agencies and local experts.

[1658] "Example 1"

[1659] (Claim 1)

[1660] A means of collecting tourist attribute information;

[1661] a means for using a generative AI model to generate tourism guidelines based on the collected information;

[1662] A means to provide the generated tourism guidelines to travel-related companies and local guides;

[1663] a means for generating real-time answers to questions of tourists during their travels;

[1664] A means of gathering additional information based on tourist questions and updating the guidelines accordingly;

[1665] A system including:

[1666] (Claim 2)

[1667] 10. The system of claim 1, further comprising means for storing the tourist input information in a database.

[1668] (Claim 3)

[1669] 10. The system of claim 1, further comprising means for uploading the generated tourism guidelines to an information system accessible to travel-related companies and local guides.

[1670] "Application Example 1"

[1671] (Claim 1)

[1672] a means of collecting information about tourists' culture and customs;

[1673] a means of generating tourism guidelines based on this information;

[1674] A means of providing the generated tourism guidelines to travel management personnel and local experts;

[1675] a means for generating real-time answers to questions of tourists during their travels;

[1676] A means of generating guidelines for food and delivery services based on the cultural background of tourists;

[1677] a means for providing the generated guidelines to tourists;

[1678] A system including:

[1679] (Claim 2)

[1680] 10. The system of claim 1, further comprising means for storing the tourist input information in a database.

[1681] (Claim 3)

[1682] 10. The system of claim 1, further comprising means for uploading the generated tourism guidelines to a portal site accessible to travel management personnel and local experts.

[1683] "Example 2: Combining Emotion Engines"

[1684] (Claim 1)

[1685] a means of collecting information about tourists' culture and customs;

[1686] a means of generating tourism guidelines based on this information;

[1687] A means to provide the generated tourism guidelines to travel agencies and local experts;

[1688] a means for generating real-time answers to questions of tourists during their travels;

[1689] a means of recognizing the emotional state of tourists;

[1690] a means of adjusting guidelines and responses based on perceived emotional states;

[1691] A system including:

[1692] (Claim 2)

[1693] 10. The system of claim 1, further comprising means for storing the tourist input information in a database.

[1694] (Claim 3)

[1695] 10. The system of claim 1, further comprising means for uploading the generated tourism guidelines to a portal site accessible to travel agencies and local experts.

[1696] "Application example 2 when combining emotion engines"

[1697] (Claim 1)

[1698] a means of collecting information about tourists' culture and customs;

[1699] a means of generating tourism guidelines based on this information;

[1700] A means to provide the generated tourism guidelines to travel agencies and local experts;

[1701] a means for generating real-time answers to questions of tourists during their travels;

[1702] a means of recognizing tourists' emotions;

[1703] A system that includes a means to adjust guidelines and responses based on tourist sentiment.

[1704] (Claim 2)

[1705] 10. The system of claim 1, further comprising means for storing the tourist input information in a database.

[1706] (Claim 3)

[1707] 10. The system of claim 1, further comprising means for uploading the generated tourism guidelines to a portal site accessible to travel agencies and local experts. [Explanation of symbols]

[1708] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means of collecting information about tourists' culture and customs; a means of generating tourism guidelines based on this information; A means to provide the generated tourism guidelines to travel agencies and local experts; A system including a means for generating real-time answers to questions of tourists during their travels.

2. The system of claim 1 further comprising means for storing the tourist's input information in a database.

3. The system of claim 1 , further comprising means for uploading the generated tourism guidelines to a portal site accessible to travel agencies and local experts.

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