System

Abstract

A system is provided.SOLUTION: The system includes a first means including a generation model for generating a travel plan based on a past travel history and individual travel preferences, a second means for performing a reservation procedure of an accommodation facility, a transportation facility, a dining place, or the like according to the travel plan, a third means for displaying the travel plan and a reservation situation on a terminal of a user, and a fourth means for integrally managing the proposal of the travel plan and the reservation procedure.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] Because foreign tourists visiting Japan do not speak Japanese, they tend to concentrate in areas that have been visited by many foreigners in the past, preventing them from fully enjoying their own preferences and Japan's diverse charms. Furthermore, areas with few tourists have fewer opportunities to promote themselves to foreign tourists and are less likely to benefit economically. Furthermore, tourists from other cultures often have difficulty choosing meals because they are accustomed to the food of their home country. The purpose of this invention is to provide foreign tourists with individually optimized travel plans, widely promote the charms of Japan as a whole, and make it easier for them to choose meals during their trip. [Means for solving the problem]

[0005] The present invention is a system that includes a first means including a generative model that generates a travel plan based on past travel history and individual travel preferences; a second means for completing reservation procedures for accommodations, transportation, restaurants, etc. according to the travel plan; a third means for displaying the travel plan and reservation status on the user's terminal; and a fourth means for centrally managing the travel plan proposals and reservation procedures. The first means utilizes a generative AI model that generates an optimal travel plan for each traveler based on data on a specific nationality and past travelers of the same nationality, and the second means suggests restaurants that match specific dining preferences based on the generative AI model and handles the reservation procedures. This enables individually customized travel plans and dining suggestions, allowing travelers to proceed with the reservation procedures directly.

[0006] "Past travel history" refers to a traveler's records of places they have visited and activities they have participated in in the past.

[0007] "Travel preferences" refer to a traveler's personal preferences, such as preferred tourist destinations, activities, and types of food.

[0008] A "generative model" is an algorithm or AI that automatically creates optimal travel plans based on traveler data.

[0009] "Accommodation" refers to facilities such as hotels, inns, and hostels where travelers can stay.

[0010] "Transportation" refers to the means of transportation, such as airplanes, trains, buses, and taxis, that travelers use to travel to their destinations.

[0011] "Meals" refers to restaurants, cafes, izakayas, and other eating and drinking establishments where travelers can enjoy meals.

[0012] "Reservation procedure" refers to the procedure for securing services such as accommodation, transportation, and dining in advance.

[0013] A "generative AI model" is a system that uses artificial intelligence technology to analyze a user's past data and preferences to generate optimal travel plans and dining suggestions.

[0014] "Device" refers to electronic devices such as smartphones, tablets, and computers that travelers use to access the app.

[0015] "User" means a traveler who uses the system to create a travel plan. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] The present invention is a system for optimizing Japan travel for foreign tourists, and uses a generative AI model to generate travel plans based on past travel history and individual travel preferences. Specific embodiments of the system are described below.

[0038] The system consists of three main components: the server, the terminal, and the user.

[0039] 1. Initial settings and profile entry

[0040] Terminal

[0041] When a user launches the app, a start screen is displayed. The user selects the option to enter a profile, and moves to the profile entry screen. The user enters their name, nationality, past travel history, travel preferences (e.g., they like historical tourist sites, they like spicy food), etc. The entered profile data is then sent to the server.

[0042] 2. Data analysis and plan generation

[0043] server

[0044] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates the optimal travel plan for the user. The generated travel plan includes tourist attractions, accommodations, transportation, and restaurants. For example, if the user is American, the server analyzes the database to find popular spots and dining habits visited by past American travelers and proposes a plan tailored to the user.

[0045] 3. Presenting your travel plan

[0046] server

[0047] The generated optimal travel plan is sent to the terminal.

[0048] Terminal

[0049] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan is accompanied by the reason for its recommendation. The user can then select the plan that interests them most from the multiple proposals.

[0050] 4. Reservation Procedure

[0051] User

[0052] The user selects a travel plan and proceeds with the booking.

[0053] Terminal

[0054] A form is provided on the reservation procedure screen to enter the necessary information (e.g., credit card information, additional requests, etc.). This information is sent to the server.

[0055] server

[0056] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[0057] 5. Travel support

[0058] Terminal

[0059] Once the trip begins, the device will be enabled with a function that provides real-time travel schedules, transportation information, and the latest information on tourist spots. When the user requests additional information, the device will communicate with the server to retrieve and display the latest information.

[0060] For example, John, an American, opens the app and enters his profile information. The entered data is sent to a server, which generates a travel plan based on John's past travel history and preferences, including historical tourist spots in Kyoto, a spicy ramen restaurant in Osaka, and a traditional ryokan (traditional Japanese inn) as accommodation. This plan is then sent to John's device, where he selects the plan and proceeds with the reservation process.

[0061] Through these steps, the present invention is a system that allows foreign tourists to enjoy their trip to Japan in a more individually optimized way, allowing them to easily choose sightseeing spots and restaurants that suit their preferences and enjoy a wide range of attractions throughout Japan.

[0062] The processing flow will be explained below.

[0063] Step 1:

[0064] Terminal

[0065] Launches the app and displays the welcome screen, offering the user profile options.

[0066] Step 2:

[0067] Terminal

[0068] When the user selects the profile entry option, a profile entry screen is displayed, with input fields including name, nationality, past travel history, and travel preferences (e.g., preference for historical sites, preference for spicy food).

[0069] Step 3:

[0070] User

[0071] Enter your profile data into the form and press the "Submit" button.

[0072] Step 4:

[0073] Terminal

[0074] The entered profile data is sent to the server.

[0075] Step 5:

[0076] server

[0077] Receives profile data sent from the device and retrieves past traveler data, tourist information for each region, restaurant data, etc. from the database.

[0078] Step 6:

[0079] server

[0080] Based on the acquired information and profile data, the AI ​​model begins analysis and generates a travel plan that is optimal for the user, including tourist spots, accommodations, transportation, and restaurants.

[0081] Step 7:

[0082] server

[0083] The generated travel plan is sent to the user's terminal.

[0084] Step 8:

[0085] Terminal

[0086] The received travel plans are displayed to the user in a visually easy-to-understand manner, and each plan is accompanied by the reason for its recommendation.

[0087] Step 9:

[0088] User

[0089] Review the proposed travel plans and choose the one that interests you most.

[0090] Step 10:

[0091] User

[0092] Click the reservation button within the selected travel plan to begin the booking process.

[0093] Step 11:

[0094] Terminal

[0095] Displays the reservation process screen and provides a form for entering required information (e.g., credit card information, additional requests, etc.).

[0096] Step 12:

[0097] User

[0098] Enter the information required for the reservation procedure and press the "Submit" button.

[0099] Step 13:

[0100] Terminal

[0101] The reservation information entered by the user is sent to the server.

[0102] Step 14:

[0103] server

[0104] Receives reservation information sent from the device. Sends reservation requests to each reservation destination (accommodation, transportation, restaurant, etc.).

[0105] Step 15:

[0106] server

[0107] A confirmation response is received from each reservation destination, and reservation confirmation information is sent to the terminal.

[0108] Step 16:

[0109] Terminal

[0110] Confirmation of reservation information is displayed to the user.

[0111] Step 17:

[0112] Terminal

[0113] On the day of your trip, activate the real-time travel support function, which provides real-time information on your trip schedule, transportation, and tourist attractions.

[0114] Step 18:

[0115] User

[0116] If you need additional information or help during your trip, you can receive support in real time through your device.

[0117] Step 19:

[0118] User

[0119] After completing the trip, users access the feedback screen provided by the device and enter their satisfaction and impressions of the trip.

[0120] Step 20:

[0121] Terminal

[0122] Send the user's feedback data to the server.

[0123] Step 21:

[0124] server

[0125] Feedback data is received and stored in a database for use in generating next travel plans.

[0126] Through this series of steps, users can easily create an individually optimized travel plan and fully enjoy their trip to Japan. Real-time support during their trip will also further enhance their travel experience.

[0127] Example 1

[0128] 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."

[0129] Conventional travel planning systems have difficulty making suggestions based on individual travelers' preferences and past travel history. They also lack the functionality to centrally manage travel plan suggestions and booking procedures, forcing travelers to go through cumbersome procedures individually. Furthermore, they lack the ability to provide real-time support information during travel, making it difficult for travelers to gather information while on the go.

[0130] 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.

[0131] In this invention, the server includes: means for a user to input profile information on a terminal and send it to the server; means for the server to receive the profile information and retrieve past traveler data and tourist information from a database; means for generating an optimal travel plan based on the profile information and the retrieved data using a generative AI model; means for the server to send the generated travel plan to the user's terminal; means for the user to select a travel plan on the terminal and input reservation information; means for the server to receive the reservation information, send a reservation request to each reservation destination, and receive a confirmation response; and means for the terminal to provide the user with schedules, transportation information, and the latest information on tourist spots in real time while traveling. This makes it possible to provide optimal travel plans that meet the individual preferences of travelers, centrally manage travel plan suggestions and reservation procedures, and provide real-time support during the trip.

[0132] "User" refers to an individual who uses the system to create a travel plan and receive support for the reservation process and during the trip.

[0133] A "terminal" is a device used by a user, and includes mobile devices such as smartphones and tablets, as well as personal computers.

[0134] "Server" refers to the central processing unit that receives user profile information, performs data analysis, and generates and manages travel plans.

[0135] "Profile Information" refers to personal information entered by a user, such as name, nationality, past travel history, and travel preferences.

[0136] A "database" is a data storage system that stores information such as past traveler data, tourist information, and restaurant data.

[0137] "Generative AI model" refers to an artificial intelligence model that generates optimal travel plans based on profile information and information obtained from a database.

[0138] "Travel Plan" refers to a plan that includes suggestions for sightseeing spots, accommodations, transportation, dining, etc., generated based on a user's profile information and travel preferences.

[0139] "Reservation information" refers to detailed information required to make reservations for accommodations, transportation, restaurants, etc. based on the travel plan selected by the user.

[0140] "Real-time support" refers to the ability to instantly provide users with information they need while traveling, such as schedule confirmation, transportation information, and the latest information on tourist spots.

[0141] The present invention is a system that provides optimal Japan travel plans for foreign tourists, and uses a generative AI model to generate travel plans based on the past travel history and individual travel preferences of each individual traveler. Specific embodiments of this system are described below.

[0142] The system consists of three main components: a server, a terminal, and a user. The server is likely to be built on a cloud infrastructure such as AWS (registered trademark) (Amazon Web Services) EC2. The terminal is a mobile device such as an iPhone (registered trademark) or an ANDROID (registered trademark) smartphone. The generative AI model used is OpenAI (registered trademark)'s GPT-4 (registered trademark).

[0143] When a user launches the app on their device, a welcome screen appears. The user selects "Enter Profile" and enters information such as name, nationality, past travel history, travel preferences, etc. This profile information is then sent to the server via the HTTPS protocol.

[0144] The server receives the profile information sent from the device. It then retrieves past traveler data, sightseeing information, and restaurant data from a database (e.g., MySQL (registered trademark)). In particular, data on travelers of the same nationality is extracted to provide the basic data for generating the most suitable travel plan for the user.

[0145] The server generates a travel plan using a generative AI model (e.g., OpenAI's GPT-4). This profile information and the acquired data are input as prompts into the generative AI model to generate an optimal travel plan.

[0146] The generated travel plan includes tourist attractions, accommodations, transportation, restaurants, etc., and is sent from the server to the terminal. The terminal displays the received travel plan in a visually easy-to-understand manner to the user. The user can select the most interesting plan from the multiple proposed travel plans and proceed with the reservation procedure.

[0147] When a user selects a travel plan and enters and submits the necessary reservation information (e.g., credit card information, additional requests, etc.), the server receives this information and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). As soon as it receives a confirmation response from each reservation destination, it sends the reservation confirmation information to the user's terminal.

[0148] Once the trip begins, the device activates a function that provides real-time travel schedules, transportation information, and updated tourist information. When the user requests additional information, the device communicates with the server to retrieve and display the latest information.

[0149] For example, an American user opens the app and enters their profile information. The entered data is sent to a server, which generates a travel plan based on the user's past travel history and preferences, including historical tourist spots in Kyoto, spicy ramen restaurants in Osaka, and traditional accommodations. The plan is then sent to the user's device, where the user can select the plan and proceed with the booking process.

[0150] Examples of prompts include:

[0151] "Generate travel recommendations. Profile information: Name: Username, Nationality: American, Travel history: Visited several cities in Japan, Preferences: Historical tourist sites, Spicy food."

[0152] "Suggest the best travel itinerary for the user. The user is looking for a historical guide to Kyoto, and an American who likes spicy food."

[0153] As a result, the present invention enables foreign tourists to enjoy their trip to Japan in a more individually optimized manner, allowing them to easily choose sightseeing spots and restaurants that suit their preferences and enjoy a wide range of Japan's attractions.

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

[0155] Step 1:

[0156] User

[0157] When a user launches the app on their device, a welcome screen appears. The user selects "Enter Profile" and enters their name, nationality, past travel history, and travel preferences.

[0158] input

[0159] Name, nationality, past travel history, travel preferences

[0160] output

[0161] Profile information entered

[0162] Specific actions

[0163] The user enters their name, nationality, past travel history (e.g., places they have visited before and how long they stayed there), and travel preferences (e.g., historical tourist spots, preference for spicy food) into the input form on their device. After completing the input, they press the "Submit" button.

[0164] Step 2:

[0165] Terminal

[0166] Your profile information is sent to a server using the HTTPS protocol, ensuring the security of your information.

[0167] input

[0168] Profile information entered on the device

[0169] output

[0170] Profile information sent to the server

[0171] Specific actions

[0172] The device sends the entered profile information to the server via the HTTPS protocol.

[0173] Step 3:

[0174] server

[0175] The server receives the profile information and retrieves past traveller data, tourist information and restaurant data from a database (e.g. MySQL).

[0176] input

[0177] Profile information sent from the device

[0178] output

[0179] Historical traveller data, tourist information and restaurant data obtained from databases

[0180] Specific actions

[0181] The server receives the profile information and queries a MySQL database to retrieve historical traveler data, tourist information, and restaurant information, with a particular focus on historical data for users of the same nationality.

[0182] Step 4:

[0183] server

[0184] It uses a generative AI model (e.g., OpenAI's GPT-4) to generate optimal travel plans based on profile information and acquired data.

[0185] input

[0186] Profile information, past traveller data retrieved from databases, tourist information, and restaurant data

[0187] output

[0188] Generated optimal travel plan

[0189] Specific actions

[0190] The server inputs profile information, past traveler data, and tourist information into the generative AI model as prompts, and the model outputs an optimal travel plan (e.g., tourist spots, accommodations, transportation, and restaurants) based on this information.

[0191] Step 5:

[0192] server

[0193] The generated travel plan is sent to the terminal.

[0194] input

[0195] Generated itinerary

[0196] output

[0197] Travel plans sent to the user's device

[0198] Specific actions

[0199] The server sends the generated itinerary to the terminal using the HTTPS protocol.

[0200] Step 6:

[0201] Terminal

[0202] To display a received travel plan to a user in a visually easy-to-understand manner.

[0203] input

[0204] Travel plans sent from the server

[0205] output

[0206] The itinerary displayed to the user

[0207] Specific actions

[0208] The device displays the received travel plans on a user interface, allowing the user to select from multiple proposals. Each plan is also displayed with the reason for its recommendation.

[0209] Step 7:

[0210] User

[0211] Select your travel plan, enter your booking information and submit.

[0212] input

[0213] Your selected travel plans and reservation information (e.g., credit card information, additional requests)

[0214] output

[0215] Reservation information sent to the server

[0216] Specific actions

[0217] The user selects a travel plan, enters the required information (credit card information, additional requests, etc.) on the reservation procedure screen, and presses the "Submit Reservation" button.

[0218] Step 8:

[0219] server

[0220] Reservation information is received, a reservation request is sent to each reservation destination, and a confirmation response is received.

[0221] input

[0222] Reservation information sent from the device

[0223] output

[0224] Confirmation response from the reservation destination, reservation confirmation information

[0225] Specific actions

[0226] The server receives the reservation information, calls the APIs of the accommodations, transportation providers, and restaurants to send a reservation request, receives confirmation responses from each reservation provider, and generates confirmation of the reservation.

[0227] Step 9:

[0228] server

[0229] Confirmation of reservation is sent to the user's terminal.

[0230] input

[0231] Confirmation from the reservation destination

[0232] output

[0233] Confirmation of reservation sent to the user's device

[0234] Specific actions

[0235] After the server receives confirmation responses from each reservation destination, it collects information indicating that all reservations have been confirmed and sends this information to the user's terminal.

[0236] Step 10:

[0237] Terminal

[0238] Provides real-time information on schedules, transportation information, and tourist attractions while traveling.

[0239] input

[0240] Information requests from users, latest information from the server

[0241] output

[0242] Real-time schedules, transportation information, and tourist information provided to users

[0243] Specific actions

[0244] When the user requests additional information during their trip, the terminal communicates with the server to obtain the latest tourist information and transportation guides, which are then displayed to the user in real time.

[0245] (Application example 1)

[0246] 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."

[0247] With conventional travel support systems, foreign tourists often have difficulty understanding Japan's food culture and choosing restaurants. Language barriers and differences in food preferences are particularly significant hurdles, resulting in unsatisfactory dining experiences during their trips. Furthermore, there is a lack of real-time information provided during travel and meal suggestions tailored to individual preferences. To solve this issue, a system with support functions specialized for individual dining experiences is needed, in addition to improving the accuracy of travel plan generation.

[0248] 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.

[0249] In this invention, the server includes first means including a generative model for generating a travel plan based on past travel history and individual travel preferences, second means for making reservations for accommodations, transportation, restaurants, etc. according to the travel plan, third means for displaying the travel plan and reservation status on the user's terminal, fourth means for centrally managing the travel plan proposals and reservation procedures, fifth means for recommending optimal restaurants and delivery services based on the food preferences, sixth means for making reservations for the restaurants and delivery services, seventh means for visually displaying menu information for the restaurants and delivery services and translating it into a foreign language, and eighth means for providing restaurant and delivery status information in real time during the trip. This enables foreign tourists to overcome food culture and language barriers and enjoy travel and dining experiences that suit their individual preferences.

[0250] "Travel plan generation" refers to creating a plan that combines tourist attractions, accommodations, transportation, restaurants, etc. that are optimal for a traveler based on their past travel history and individual travel preferences.

[0251] "Reservation procedure" refers to the series of operations and processes required for a traveler to make a reservation for the accommodation, transportation, restaurant, etc. of their choice.

[0252] A "generative AI model" is an artificial intelligence model that uses a user's profile data and data on past travelers of the same nationality to generate optimal travel plans and meal suggestions.

[0253] "Terminal" refers to an electronic device such as a smartphone or tablet used by a user, and in this system is used to display travel plans and perform reservation procedures.

[0254] A "database" refers to a system or server that collects and stores traveler data, tourist information, accommodation information, restaurant information, etc.

[0255] "Restaurant recommendations" means suggesting restaurants that are considered best suited to a traveler based on the traveler's food preferences and past data.

[0256] "Delivery service" refers to a service that delivers meals to a traveler's home or accommodation as a dining option, and this system recommends services that match the user's preferences.

[0257] "Menu translation" refers to the function of converting restaurant menus into a traveler's native language so that foreign travelers can enjoy local restaurants without having to face a language barrier.

[0258] "Real-time information provision" means instantly obtaining the latest restaurant information and reservation status and providing it to travelers while they are traveling.

[0259] "Centralized management" means integrating and managing all functions, from generating travel plans to booking procedures and providing information.

[0260] This invention is a system for optimizing travel and dining experiences in Japan for foreign tourists. It uses a generative AI model to generate travel plans and dining suggestions based on past travel history and individual travel preferences. The system consists of three main components: a server, a terminal, and a user.

[0261] 1. Initial settings and profile entry

[0262] Terminal

[0263] When a user launches the app, a start screen is displayed. The user then moves to a screen where they can enter their profile, including their name, nationality, travel history, food preferences (e.g., they like spicy food), etc. The entered profile data is then sent to the server.

[0264] 2. Data analysis and plan generation

[0265] server

[0266] The server receives the profile data sent from the device. It then retrieves past traveler data, sightseeing information, accommodation information, and restaurant information from the database. Based on this information, the generative AI model generates the optimal travel and dining plans for the user. The generated plans include tourist attractions, accommodation, transportation, and dining options (restaurants and delivery services). For example, if the user is of a particular nationality and likes spicy food, the server analyzes the database to find popular spots and dining trends visited by past travelers of the same nationality, and proposes a plan tailored to the user.

[0267] 3. Presenting your travel and meal plans

[0268] server

[0269] The generated optimal travel and meal plans are sent to the terminal.

[0270] Terminal

[0271] The device displays the received plans in a visually easy-to-understand manner to the user. Each plan is accompanied by a recommendation reason. The user can select the plan that most interests them from multiple proposals. Menu information is also translated into foreign languages, and cultural background information is provided.

[0272] 4. Reservation Procedure

[0273] User

[0274] The reservation is then made based on the travel and meal plans selected by the user.

[0275] Terminal

[0276] The reservation process screen is displayed, providing a form for entering the necessary information (e.g., credit card information, additional requests, etc.), which is then sent to the server.

[0277] server

[0278] The server receives the reservation information sent from the device and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant, delivery service). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the device.

[0279] 5. Travel support

[0280] Terminal

[0281] Once the trip begins, the device will be enabled with a feature that provides real-time updates on the trip schedule, transportation information, and dining information. When the user requests additional information, the device will communicate with the server to retrieve and display the latest information. Specifically, restaurant menus and delivery status will be updated in real time.

[0282] Specific examples

[0283] For example, an American traveler opens the app and enters their profile. The entered data is sent to the server, which generates a travel plan based on the traveler's past travel history and food preferences, including historical tourist spots in Kyoto, spicy restaurants in Osaka, and traditional inns for accommodation. This plan, along with translated menu information, is sent to the traveler's device, and the traveler selects the plan and proceeds with the reservation process. This system enables travelers to overcome food culture and language barriers and enjoy individually optimized travel and dining experiences in Japan.

[0284] Prompt Sentence Examples

[0285] System prompt: "Generate suggestions for restaurants and delivery services in Japan, taking into account the traveler's name, nationality, and food preferences."

[0286] User prompt: "My name is John, I'm from America, I like spicy food, and I'm traveling to Kyoto."

[0287] The hardware and software used are a smartphone, Python, Django (backend), React Native (mobile app), and GPT-4 API (generative AI model).

[0288] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0289] Step 1:

[0290] The device starts up and the user moves to the profile input screen. The user inputs their name, nationality, past travel history, travel preferences (e.g., they like historical tourist spots, they like spicy food), etc. The input data is sent from the device to the server. The input includes profile data (name, nationality, past travel history, preferences), and is sent to the server as JSON format data.

[0291] Step 2:

[0292] The server receives the profile data sent from the device. It then retrieves past traveler data, sightseeing information, accommodation information, restaurant information, etc. from the database. Using this information, the generative AI model generates the optimal travel and meal plans for the user. The past traveler data and the input profile data are used for data analysis. The generative AI model is applied, and the generated travel and meal plans are output.

[0293] Step 3:

[0294] The server sends the generated travel and meal plans to the device. The device then displays the received plans in a visually easy-to-understand format. The display also includes detailed information about each plan (tourist attractions, accommodations, transportation options, and restaurants) and the reasons for the recommendation. The user can select the plan that interests them most from multiple suggestions. The input includes the generated plan data, and the output is the plan information displayed on the user's device.

[0295] Step 4:

[0296] The booking process is carried out based on the travel and meal plans selected by the user.

[0297] Step 5:

[0298] The terminal displays the reservation screen and provides a form for the user to enter the necessary information (e.g., credit card information, additional requests, etc.). The entered reservation information is sent from the terminal to the server. The input includes reservation information (lodging, restaurant, transportation details, etc.) and is sent to the server.

[0299] Step 6:

[0300] The server receives the reservation information sent from the device and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant, delivery service). It receives confirmation responses from each reservation destination and sends the confirmed reservation information to the device. The server makes an API call to each reservation destination, receives confirmation responses, and sends them to the device.

[0301] Step 7:

[0302] The device enables real-time travel schedule, transportation information, and dining updates as the trip begins. This includes translated restaurant menu information and real-time updates on delivery status. When the user requests additional information, the device communicates with the server to retrieve and display the latest information. The input includes the user's requested information, and the output is the latest updated information.

[0303] 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.

[0304] The present invention is a system for optimizing Japan travel for foreign tourists, and generates travel plans by combining a generative AI model and an emotion engine. Specific embodiments of the system are described below.

[0305] The system consists of three main components: the server, the terminal, and the user.

[0306] 1. Initial settings and profile entry

[0307] Terminal

[0308] When a user launches the app, a start screen is displayed. The user selects the option to enter a profile, and moves to the profile entry screen. The user enters their name, nationality, past travel history, travel preferences (e.g., they like historical tourist sites, they like spicy food), etc. The entered profile data is then sent to the server.

[0309] 2. Data analysis and plan generation

[0310] server

[0311] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates an optimal travel plan for the user. Furthermore, an emotion engine for analyzing the user's emotions collects the profile data and real-time emotion data. This emotion data is also input into the generative AI model, which generates an optimized travel plan based on the user's emotions. The generated travel plan includes tourist attractions, accommodations, transportation, and restaurants.

[0312] 3. Presenting and adjusting travel plans

[0313] server

[0314] The generated optimal travel plan is sent to the terminal.

[0315] Terminal

[0316] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan also displays the reason for its recommendation. While the user is reviewing the plan, the emotion engine analyzes facial expressions and voice tone to evaluate the user's emotions in real time. If the user is dissatisfied with the presented plan, this information is sent to the server, and a new plan is generated.

[0317] 4. Reservation Procedure

[0318] User

[0319] The user selects a travel plan and proceeds with the booking.

[0320] Terminal

[0321] A form is provided for entering the necessary information (e.g. credit card information, additional requests, etc.) on the reservation process screen. This information is sent to the server.

[0322] server

[0323] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[0324] 5. Travel support and emotional assessment

[0325] Terminal

[0326] Once the trip begins, the device will be enabled with real-time information on the trip schedule, transportation information, and the latest tourist information. In addition, an emotion engine will continuously analyze the user's emotions during the trip and evaluate their satisfaction with the travel plan.

[0327] User

[0328] The emotion engine continuously analyzes the user's emotions during the trip, and if there are any particularly dissatisfied or stressful moments, the user will receive real-time support and the plan will be adjusted as necessary.

[0329] As a concrete example, John, an American, opens the app and enters his profile. The entered data is sent to the server, which then generates an optimal travel plan based on John's past travel history and preferences. When John confirms the plan, the emotion engine analyzes his facial expressions and voice tone to evaluate in real time whether he is satisfied with the presented plan. If dissatisfaction is detected, the server generates and re-proposes a new plan. Real-time support during the trip also utilizes emotion data to optimize John's travel experience.

[0330] Through these steps, the present invention is a system that enables foreign tourists to enjoy their trip to Japan in a more individually optimized way. The introduction of an emotion engine makes it possible to generate and adjust travel plans that take into account the user's emotional state, which is expected to improve the travel experience.

[0331] The processing flow will be explained below.

[0332] Step 1:

[0333] Terminal

[0334] Launches the app and displays the welcome screen, offering the user profile options.

[0335] Step 2:

[0336] Terminal

[0337] When the user selects the profile entry option, a profile entry screen is displayed, with input fields including name, nationality, past travel history, and travel preferences (e.g., preference for historical sites, preference for spicy food).

[0338] Step 3:

[0339] User

[0340] Enter your profile data into the form and press the "Submit" button.

[0341] Step 4:

[0342] Terminal

[0343] The entered profile data is sent to the server.

[0344] Step 5:

[0345] server

[0346] It receives profile data sent from the device and retrieves past traveler data, tourist information for each region, and restaurant data from the database.

[0347] Step 6:

[0348] server

[0349] Based on the acquired information and profile data, the AI ​​model begins analysis and generates the optimal travel plan for the user.

[0350] Step 7:

[0351] server

[0352] In addition, the emotion engine collects profile data and real-time emotion data, which is then input into a generative AI model to generate an optimized travel plan based on the user's emotions.

[0353] Step 8:

[0354] server

[0355] The generated travel plan is sent to the user's terminal.

[0356] Step 9:

[0357] Terminal

[0358] The received travel plans are displayed to the user in a visually easy-to-understand manner, and each plan is accompanied by the reason for its recommendation.

[0359] Step 10:

[0360] Terminal

[0361] While the user is reviewing the plan, the emotion engine analyzes facial expressions and vocal tone to assess the user's emotions in real time.

[0362] Step 11:

[0363] Terminal

[0364] If the user is not satisfied with the offered plan, he / she sends that information to the server.

[0365] Step 12:

[0366] server

[0367] The server receives the dissatisfied emotion data and starts generating a new plan, which is then sent to the device again.

[0368] Step 13:

[0369] User

[0370] Plan proposals and emotional evaluations are repeated until the user is satisfied with the proposed plan.

[0371] Step 14:

[0372] User

[0373] Select the plan that satisfies you and press the reservation button.

[0374] Step 15:

[0375] Terminal

[0376] The reservation process screen will appear, providing a form for you to enter the necessary information (e.g., credit card details, additional requests).

[0377] Step 16:

[0378] User

[0379] Enter the information required for the reservation procedure and press the "Submit" button.

[0380] Step 17:

[0381] Terminal

[0382] The reservation information entered by the user is sent to the server.

[0383] Step 18:

[0384] server

[0385] Reservation information sent from the terminal is received and a reservation request is sent to each reservation destination (accommodation, transportation, restaurant, etc.).

[0386] Step 19:

[0387] server

[0388] A confirmation response is received from each reservation destination, and reservation confirmation information is sent to the terminal.

[0389] Step 20:

[0390] Terminal

[0391] Confirmation of reservation information is displayed to the user.

[0392] Step 21:

[0393] Terminal

[0394] On the day of your trip, enable real-time travel support features, providing you with the latest information on your trip schedule, transportation, and tourist attractions.

[0395] Step 22:

[0396] Terminal

[0397] The emotion engine continuously analyzes the user's emotions during the trip and evaluates their satisfaction with the travel plan.

[0398] Step 23:

[0399] Terminal

[0400] If users require additional assistance during their trip, they will receive assistance in real time and their plan will be adjusted as needed.

[0401] Step 24:

[0402] User

[0403] After completing the trip, users access the feedback screen provided by the device and enter their satisfaction and impressions of the trip.

[0404] Step 25:

[0405] Terminal

[0406] Send the user's feedback data to the server.

[0407] Step 26:

[0408] server

[0409] Feedback data is received and stored in a database for use in generating next travel plans.

[0410] Example 2

[0411] 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."

[0412] Conventional travel plan generation systems have difficulty providing optimal travel plans because they are unable to reflect users' individual preferences and real-time emotional states. Furthermore, they lack real-time support based on users' emotional evaluations during the trip. This leads to lower user satisfaction and a poor travel experience.

[0413] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0414] In this invention, the server includes means for receiving profile data entered by the user and generating a travel plan based on the received profile data, means for utilizing a generative model and an emotion engine using the profile data and emotion data, and means for transmitting the generated travel plan to the user's terminal and for the emotion engine to analyze the user's emotions in real time. This makes it possible to provide an optimal travel plan that reflects the user's individual preferences and real-time emotional state. Furthermore, real-time support is provided during the trip, improving user satisfaction.

[0415] "Profile Data" refers to information entered by a user, such as name, nationality, past travel history, and travel preferences.

[0416] "Emotional data" refers to information about the user's emotional state obtained by analyzing the user's facial expressions and vocal tone.

[0417] "Generative model" refers to an algorithm or machine learning model that generates optimal travel plans based on profile data and sentiment data.

[0418] An "emotion engine" refers to a system that analyzes a user's facial expressions and vocal tone in real time and generates emotional data.

[0419] The term "travel plan" refers to a user's travel schedule, which mainly includes tourist spots, accommodations, transportation, restaurants, etc.

[0420] A "generative AI model" refers to an artificial intelligence model that uses technologies such as machine learning and deep learning to generate travel plans.

[0421] "Terminal" refers to a device such as a computer or smartphone that a user uses to input information or check travel plans.

[0422] "Server" refers to a computer system that receives user input data and processes the data using a generative model and emotion engine.

[0423] "Real-time support" refers to analyzing the user's emotional data while traveling and providing immediate assistance or adjusting plans if the user feels dissatisfied or stressed.

[0424] This invention is a system for optimizing Japan travel for foreign tourists. This system generates and provides optimal travel plans using a generative AI model and emotion engine based on user-entered profile data and real-time acquired emotion data.

[0425] First, the user launches the application on their device and enters their profile data. This profile data includes their name, nationality, past travel history, and travel preferences (e.g., historical tourist spots, spicy food, etc.). An example of a prompt might be, "Please tell us your name, nationality, favorite tourist spots and dishes, and places you have visited in the past."

[0426] The device then sends the entered profile data to the server, which receives the profile data and stores it in a database that includes past traveler data, tourist information for each area, and restaurant information.

[0427] The server utilizes a generative AI model to generate an optimal travel plan based on the profile data and emotional data. This generative AI model uses machine learning and deep learning technologies, and takes the user's profile data and emotional data acquired in real time as input. In addition, the emotion engine collects the user's emotional data (facial expressions and vocal tone) and sends it to the server, allowing the generative AI model to generate a travel plan that reflects the user's emotional state.

[0428] The generated travel plan is a comprehensive schedule including sightseeing spots, accommodations, transportation, restaurants, etc. This plan is sent from the server to the device and displayed visually to the user on the device. While the user is checking the plan, the device uses an emotion engine to analyze the user's facial expressions and voice tone and evaluate the user's emotions in real time.

[0429] If the user is not satisfied with the proposed plan, the information is sent to the server based on the user's emotional evaluation. The server then uses the generative AI model to generate a new travel plan and re-propose it to the user. This provides the user with the most suitable travel plan.

[0430] Once the travel plan has been selected, the user proceeds with the reservation process through the terminal. The user enters the necessary information, such as credit card information and any additional requests, on the reservation process screen. The terminal sends this information to the server, which then sends a reservation request to each reservation destination (accommodation, transportation, restaurant). As soon as a reservation confirmation response is received, the server sends that information back to the terminal and notifies the user of the reservation confirmation information.

[0431] During the trip, the device provides real-time travel schedules, transportation information, and the latest tourist information. The emotion engine continuously analyzes the user's emotions during the trip and provides support for situations where the user feels particularly dissatisfied or stressed. The server receives the emotion data in real time and adjusts the travel plan as needed.

[0432] In this way, the system can provide an optimal travel plan that reflects the user's individual preferences and real-time emotional state, improving the user's travel experience.

[0433] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0434] Step 1:

[0435] Profile Input

[0436] A user launches the application and enters profile data, such as name, nationality, past travel history, and travel preferences (e.g., historical sites, spicy food). The entered profile data provides the basis for identifying the user's travel preferences.

[0437] Input: Name, nationality, past travel history, travel preferences

[0438] Output: Profile data

[0439] Step 2:

[0440] Sending data to the server

[0441] The device sends the profile data entered by the user to the server, where it is securely transmitted and prepared for processing.

[0442] Input: Profile data

[0443] Output: Profile data sent to the server

[0444] Step 3:

[0445] Saving to a database

[0446] The server receives the profile data and stores it in a database that is then used by the generative AI model. The database already contains data on past travelers, tourist information, and restaurant information.

[0447] Input: Profile data sent to the server

[0448] Output: Profile data stored in a database

[0449] Step 4:

[0450] Plan Generation

[0451] The server retrieves past traveler data, tourist information for each region, and restaurant data from the database, and combines this with profile data to generate a travel plan using a generative AI model. Emotional data is also used during this process. The generative AI model analyzes the data and selects the best tourist spots, accommodations, transportation, and restaurants for the user.

[0452] Input: Profile data, past traveller data, tourist information, restaurant data, emotional data

[0453] Output: Generated itinerary

[0454] Step 5:

[0455] Submit your travel plans

[0456] The server sends the generated travel plan to the terminal, which includes details of tourist spots, accommodations, transportation, and restaurants.

[0457] Input: Generated itinerary

[0458] Output: Travel plan sent to device

[0459] Step 6:

[0460] Travel plan display and sentiment analysis

[0461] The device displays the received travel plan to the user in a visually easy-to-understand manner. While the user is checking the plan, the emotion engine analyzes facial expressions and voice tone to evaluate the user's emotions in real time. The evaluation results are displayed on the device.

[0462] Input: Travel plan sent to the device

[0463] Output: A travel plan that can be viewed by the user, and real-time sentiment evaluation results

[0464] Step 7:

[0465] Plan Adjustment

[0466] If the user is dissatisfied with the travel plan, the device sends that information to the server, which uses the generative AI model based on the emotion evaluation results to generate a new plan and sends it back to the device.

[0467] Input: User's emotion evaluation results, dissatisfaction information

[0468] Output: New itinerary

[0469] Step 8:

[0470] Reservation procedure

[0471] The user then proceeds with the reservation process based on the travel plan they have finally decided on. The terminal provides a form for entering credit card information and any additional requests, and sends this information to the server. The server then sends the reservation information to each reservation destination and receives a confirmation response.

[0472] Input: User's reservation information (credit card information, additional requests)

[0473] Output: Confirmed reservation information

[0474] Step 9:

[0475] Travel support and emotional assessment

[0476] The device provides real-time information on travel schedules, traffic information, and the latest tourist information. The emotion engine continuously analyzes the user's emotions and provides support if they feel dissatisfied or stressed. The server then takes appropriate action based on this information.

[0477] Input: Travel schedule, traffic information, emotional data

[0478] Output: Real-time information provision, emotional support

[0479] (Application example 2)

[0480] 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."

[0481] Conventional travel plan generation systems provide a uniform plan without considering the emotional state of the traveler, which means that the plan provided may not fully match the traveler's wishes. Furthermore, they have the problem of being unable to detect dissatisfaction or stress felt by the traveler in real time and quickly adjust the plan. This can lead to a decrease in traveler satisfaction and a loss of quality in the travel experience.

[0482] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0483] In this invention, the server includes: means for including a generative model that generates a travel plan based on past travel history and individual travel preferences; means for making reservations for accommodations, transportation, restaurants, etc. according to the travel plan; means for displaying the travel plan and reservation status on the user's terminal; and means for analyzing the user's facial expressions and voice in real time using emotion analysis means and adjusting the travel plan based on the emotion information. This makes it possible to provide a personalized travel plan that takes into account the traveler's emotional state, and to analyze the traveler's emotions in real time during the trip and adjust the plan as needed.

[0484] "Past travel history" refers to records of tourist attractions and accommodations that a traveler has previously visited, the means of transportation and restaurants that they have used, etc.

[0485] "Individual travel preferences" are personal preferences such as the elements that a traveler particularly values ​​when traveling, activities that interest them, food preferences, and types of tourist attractions.

[0486] A "generative model" is an algorithm or program that uses artificial intelligence to automatically generate travel plans based on input data.

[0487] "Accommodation facilities" are facilities such as hotels, inns, and guesthouses where travelers can stay.

[0488] "Transportation" refers to the means of transportation that travelers use to get around, such as trains, buses, taxis, and airplanes.

[0489] "Eating and drinking establishments" are establishments that provide food and drink to travelers, such as restaurants, cafes, and izakayas.

[0490] The "reservation procedure" refers to the procedure by which travelers reserve services such as accommodation, transportation, and restaurants in advance.

[0491] "Display" means providing information visually on the user's terminal.

[0492] "Management" means overseeing the entire procedure and ensuring it proceeds efficiently.

[0493] "Emotion analysis means" is a technology that uses sensors such as cameras and microphones to analyze the user's facial expressions and voice and estimate the user's emotional state.

[0494] "Adjusting" means changing the contents of your travel plans to suit your circumstances and needs.

[0495] A "generative AI model" is a machine learning model that uses artificial intelligence to generate optimal travel plans based on input data.

[0496] This embodiment describes a system for optimizing Japan travel for foreign tourists in an autonomous vehicle. This system consists of three main components: a server, a terminal, and a user. The detailed operation of each component is described below.

[0497] 1. Initial settings and profile entry

[0498] Terminal

[0499] When a user gets into an autonomous vehicle, the tablet device inside the vehicle starts up. A start screen is displayed, and the user moves to a profile input screen. On the profile input screen, the user enters their name, nationality, past travel history, travel preferences (e.g., preference for historical tourist sites, preference for spicy food), etc. The entered profile data is sent to the server.

[0500] 2. Data analysis and plan generation

[0501] server

[0502] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates the optimal travel plan for the user. The generated travel plan includes tourist destinations, accommodations, transportation, and restaurants.

[0503] The server also uses sentiment analysis to analyze users' emotions, collecting profile data and real-time emotional data, which is then input into a generative AI model to generate an optimized travel plan based on the user's emotions.

[0504] 3. Presenting and adjusting travel plans

[0505] server

[0506] The generated optimal travel plan is sent to the terminal.

[0507] Terminal

[0508] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan also displays the reason for its recommendation. While the user is reviewing the plan, an emotion analysis means analyzes the user's facial expressions and voice tone to evaluate the user's emotions in real time. If the user is dissatisfied with the presented plan, that information is sent to the server, and the generation of a new plan is initiated.

[0509] 4. Reservation Procedure

[0510] User

[0511] The user selects a travel plan and proceeds with the booking.

[0512] Terminal

[0513] A form is provided for entering the necessary information (e.g. credit card information, additional requests, etc.) on the reservation process screen. This information is sent to the server.

[0514] server

[0515] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[0516] 5. Travel support and emotional assessment

[0517] Terminal

[0518] Once the trip begins, the device will be enabled with a function that provides real-time travel schedules, transportation information, and the latest information on tourist spots. In addition, a sentiment analysis tool will continuously analyze the user's emotions during the trip and evaluate their satisfaction with the travel plan.

[0519] User

[0520] During the trip, the emotion analysis tool continuously analyzes the user's emotions, and if there are any particularly dissatisfied or stressful moments, the user will receive real-time support and the plan will be adjusted as necessary.

[0521] Hardware and software used

[0522] Hardware: Tablet or display, camera, microphone inside the autonomous vehicle

[0523] Software: OpenAI GPT-3 (registered trademark) (generative AI model), Microsoft (registered trademark) Azure (registered trademark) Face API (emotion analysis means)

[0524] Specific examples

[0525] For example, when a foreign tourist boards a self-driving vehicle and enters their profile on a tablet, the following prompt is used:

[0526] "Create the best itinerary for your tourists. Their preferences are historical sites and spicy food."

[0527] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0528] Step 1:

[0529] A user enters an autonomous vehicle and starts up the tablet device inside the vehicle. A start screen is displayed, and the user moves to a profile entry screen. Entry items include name, nationality, past travel history, and travel preferences. The entered profile data is sent to the server.

[0530] Input: Name, Nationality, Past Travel History, Travel Preferences.

[0531] Data processing: Convert the input data into JSON format and send it to the server.

[0532] Output: The profile data sent to the server.

[0533] Step 2:

[0534] The server receives the profile data sent from the device and then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database.

[0535] Input: Profile data.

[0536] Data processing: Using database queries to retrieve corresponding tourist data and tourist information.

[0537] Output: Traveler data, tourist information, restaurant data.

[0538] Step 3:

[0539] The generative AI model is launched and the profile data, acquired traveler data, and tourist information are input. The generative AI model generates the optimal travel plan based on this data.

[0540] Input: Profile data, traveller data, tourist information.

[0541] Data computation: Data input and generation processing for generative AI models.

[0542] Output: The generated itinerary.

[0543] Step 4:

[0544] The generated travel plans are sent from the server to the device, which then displays the plans to the user in a visually easy-to-understand manner, along with the reasons for recommending each plan.

[0545] Input: The generated itinerary.

[0546] Data processing: Format conversion and display processing of plan data.

[0547] Output: The itinerary displayed on the device.

[0548] Step 5:

[0549] While the user is checking their travel plans, the device's built-in camera and microphone analyze the user's facial expressions and voice in real time, and the emotion analysis means receives this information and estimates the user's emotional state.

[0550] Input: User's facial expressions and voice data.

[0551] Data Computing: Analysis of data collected by cameras and microphones.

[0552] Output: Estimated emotion data.

[0553] Step 6:

[0554] If the user is not satisfied with the proposed plan, the emotion data is sent to the server, which then starts generating a new plan.

[0555] Input: Emotion data.

[0556] Data computation: The process of evaluating and regenerating plans based on affective data.

[0557] Output: The newly generated itinerary.

[0558] Step 7:

[0559] The user then makes reservations for accommodations, transportation, restaurants, etc. according to the travel plan they have finally selected. The user then moves to the reservation procedure screen and enters the necessary information. This information is then sent to the server, which then sends a reservation request to each reservation destination.

[0560] Input: Selected travel plan, user's booking information.

[0561] Data processing: Sending reservation information and receiving confirmation responses.

[0562] Output: Confirmed reservation information.

[0563] 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.

[0564] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0565] 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.

[0566] [Second embodiment]

[0567] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0568] 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.

[0569] 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).

[0570] 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.

[0571] 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.

[0572] 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).

[0573] 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.

[0574] 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.

[0575] 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.

[0576] 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.

[0577] 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.

[0578] 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."

[0579] The present invention is a system for optimizing Japan travel for foreign tourists, and uses a generative AI model to generate travel plans based on past travel history and individual travel preferences. Specific embodiments of the system are described below.

[0580] The system consists of three main components: the server, the terminal, and the user.

[0581] 1. Initial settings and profile entry

[0582] Terminal

[0583] When a user launches the app, a start screen is displayed. The user selects the option to enter a profile, and moves to the profile entry screen. The user enters their name, nationality, past travel history, travel preferences (e.g., they like historical tourist sites, they like spicy food), etc. The entered profile data is then sent to the server.

[0584] 2. Data analysis and plan generation

[0585] server

[0586] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates the optimal travel plan for the user. The generated travel plan includes tourist attractions, accommodations, transportation, and restaurants. For example, if the user is American, the server analyzes the database to find popular spots and dining habits visited by past American travelers and proposes a plan tailored to the user.

[0587] 3. Presenting your travel plan

[0588] server

[0589] The generated optimal travel plan is sent to the terminal.

[0590] Terminal

[0591] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan is accompanied by the reason for its recommendation. The user can then select the plan that interests them most from the multiple proposals.

[0592] 4. Reservation Procedure

[0593] User

[0594] The user selects a travel plan and proceeds with the booking.

[0595] Terminal

[0596] A form is provided on the reservation procedure screen to enter the necessary information (e.g., credit card information, additional requests, etc.). This information is sent to the server.

[0597] server

[0598] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[0599] 5. Travel support

[0600] Terminal

[0601] Once the trip begins, the device will be enabled with a function that provides real-time travel schedules, transportation information, and the latest information on tourist spots. When the user requests additional information, the device will communicate with the server to retrieve and display the latest information.

[0602] For example, John, an American, opens the app and enters his profile information. The entered data is sent to a server, which generates a travel plan based on John's past travel history and preferences, including historical tourist spots in Kyoto, a spicy ramen restaurant in Osaka, and a traditional ryokan (traditional Japanese inn) as accommodation. This plan is then sent to John's device, where he selects the plan and proceeds with the reservation process.

[0603] Through these steps, the present invention is a system that allows foreign tourists to enjoy their trip to Japan in a more individually optimized way, allowing them to easily choose sightseeing spots and restaurants that suit their preferences and enjoy a wide range of attractions throughout Japan.

[0604] The processing flow will be explained below.

[0605] Step 1:

[0606] Terminal

[0607] Launches the app and displays the welcome screen, offering the user profile options.

[0608] Step 2:

[0609] Terminal

[0610] When the user selects the profile entry option, a profile entry screen is displayed, with input fields including name, nationality, past travel history, and travel preferences (e.g., preference for historical sites, preference for spicy food).

[0611] Step 3:

[0612] User

[0613] Enter your profile data into the form and press the "Submit" button.

[0614] Step 4:

[0615] Terminal

[0616] The entered profile data is sent to the server.

[0617] Step 5:

[0618] server

[0619] Receives profile data sent from the device and retrieves past traveler data, tourist information for each region, restaurant data, etc. from the database.

[0620] Step 6:

[0621] server

[0622] Based on the acquired information and profile data, the AI ​​model begins analysis and generates a travel plan that is optimal for the user, including tourist spots, accommodations, transportation, and restaurants.

[0623] Step 7:

[0624] server

[0625] The generated travel plan is sent to the user's terminal.

[0626] Step 8:

[0627] Terminal

[0628] The received travel plans are displayed to the user in a visually easy-to-understand manner, and each plan is accompanied by the reason for its recommendation.

[0629] Step 9:

[0630] User

[0631] Review the proposed travel plans and choose the one that interests you most.

[0632] Step 10:

[0633] User

[0634] Click the reservation button within the selected travel plan to begin the booking process.

[0635] Step 11:

[0636] Terminal

[0637] Displays the reservation process screen and provides a form for entering required information (e.g., credit card information, additional requests, etc.).

[0638] Step 12:

[0639] User

[0640] Enter the information required for the reservation procedure and press the "Submit" button.

[0641] Step 13:

[0642] Terminal

[0643] The reservation information entered by the user is sent to the server.

[0644] Step 14:

[0645] server

[0646] Receives reservation information sent from the device. Sends reservation requests to each reservation destination (accommodation, transportation, restaurant, etc.).

[0647] Step 15:

[0648] server

[0649] A confirmation response is received from each reservation destination, and reservation confirmation information is sent to the terminal.

[0650] Step 16:

[0651] Terminal

[0652] Confirmation of reservation information is displayed to the user.

[0653] Step 17:

[0654] Terminal

[0655] On the day of your trip, activate the real-time travel support function, which provides real-time information on your trip schedule, transportation, and tourist attractions.

[0656] Step 18:

[0657] User

[0658] If you need additional information or help during your trip, you can receive support in real time through your device.

[0659] Step 19:

[0660] User

[0661] After completing the trip, users access the feedback screen provided by the device and enter their satisfaction and impressions of the trip.

[0662] Step 20:

[0663] Terminal

[0664] Send the user's feedback data to the server.

[0665] Step 21:

[0666] server

[0667] Feedback data is received and stored in a database for use in generating next travel plans.

[0668] Through this series of steps, users can easily create an individually optimized travel plan and fully enjoy their trip to Japan. Real-time support during their trip will also further enhance their travel experience.

[0669] Example 1

[0670] 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."

[0671] Conventional travel planning systems have difficulty making suggestions based on individual travelers' preferences and past travel history. They also lack the functionality to centrally manage travel plan suggestions and booking procedures, forcing travelers to go through cumbersome procedures individually. Furthermore, they lack the ability to provide real-time support information during travel, making it difficult for travelers to gather information while on the go.

[0672] 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.

[0673] In this invention, the server includes: means for a user to input profile information on a terminal and send it to the server; means for the server to receive the profile information and retrieve past traveler data and tourist information from a database; means for generating an optimal travel plan based on the profile information and the retrieved data using a generative AI model; means for the server to send the generated travel plan to the user's terminal; means for the user to select a travel plan on the terminal and input reservation information; means for the server to receive the reservation information, send a reservation request to each reservation destination, and receive a confirmation response; and means for the terminal to provide the user with schedules, transportation information, and the latest information on tourist spots in real time while traveling. This makes it possible to provide optimal travel plans that meet the individual preferences of travelers, centrally manage travel plan suggestions and reservation procedures, and provide real-time support during the trip.

[0674] "User" refers to an individual who uses the system to create a travel plan and receive support for the reservation process and during the trip.

[0675] A "terminal" is a device used by a user, and includes mobile devices such as smartphones and tablets, as well as personal computers.

[0676] "Server" refers to the central processing unit that receives user profile information, performs data analysis, and generates and manages travel plans.

[0677] "Profile Information" refers to personal information entered by a user, such as name, nationality, past travel history, and travel preferences.

[0678] A "database" is a data storage system that stores information such as past traveler data, tourist information, and restaurant data.

[0679] "Generative AI model" refers to an artificial intelligence model that generates optimal travel plans based on profile information and information obtained from a database.

[0680] "Travel Plan" refers to a plan that includes suggestions for sightseeing spots, accommodations, transportation, dining, etc., generated based on a user's profile information and travel preferences.

[0681] "Reservation information" refers to detailed information required to make reservations for accommodations, transportation, restaurants, etc. based on the travel plan selected by the user.

[0682] "Real-time support" refers to the ability to instantly provide users with information they need while traveling, such as schedule confirmation, transportation information, and the latest information on tourist spots.

[0683] The present invention is a system that provides optimal Japan travel plans for foreign tourists, and uses a generative AI model to generate travel plans based on the past travel history and individual travel preferences of each individual traveler. Specific embodiments of this system are described below.

[0684] The system consists of three main components: a server, a terminal, and a user. The server is likely to be built on a cloud infrastructure such as AWS (Amazon Web Services) EC2. The terminal is a mobile device such as an iPhone or Android smartphone. The generative AI model used is OpenAI's GPT-4.

[0685] When a user launches the app on their device, a welcome screen appears. The user selects "Enter Profile" and enters information such as name, nationality, past travel history, travel preferences, etc. This profile information is then sent to the server via the HTTPS protocol.

[0686] The server receives the profile information sent from the device. It then retrieves past traveler data, sightseeing information, and restaurant data from a database (e.g., MySQL). In particular, by extracting data on travelers of the same nationality, it uses this data as the basis for generating the most suitable travel plan for the user.

[0687] The server generates a travel plan using a generative AI model (e.g., OpenAI's GPT-4). This profile information and the acquired data are input as prompts into the generative AI model to generate an optimal travel plan.

[0688] The generated travel plan includes tourist attractions, accommodations, transportation, restaurants, etc., and is sent from the server to the terminal. The terminal displays the received travel plan in a visually easy-to-understand manner to the user. The user can select the most interesting plan from the multiple proposed travel plans and proceed with the reservation procedure.

[0689] When a user selects a travel plan and enters and submits the necessary reservation information (e.g., credit card information, additional requests, etc.), the server receives this information and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). As soon as it receives a confirmation response from each reservation destination, it sends the reservation confirmation information to the user's terminal.

[0690] Once the trip begins, the device activates a function that provides real-time travel schedules, transportation information, and updated tourist information. When the user requests additional information, the device communicates with the server to retrieve and display the latest information.

[0691] For example, an American user opens the app and enters their profile information. The entered data is sent to a server, which generates a travel plan based on the user's past travel history and preferences, including historical tourist spots in Kyoto, spicy ramen restaurants in Osaka, and traditional accommodations. The plan is then sent to the user's device, where the user can select the plan and proceed with the booking process.

[0692] Examples of prompts include:

[0693] "Generate travel recommendations. Profile information: Name: Username, Nationality: American, Travel history: Visited several cities in Japan, Preferences: Historical tourist sites, Spicy food."

[0694] "Suggest the best travel itinerary for the user. The user is looking for a historical guide to Kyoto, and an American who likes spicy food."

[0695] As a result, the present invention enables foreign tourists to enjoy their trip to Japan in a more individually optimized manner, allowing them to easily choose sightseeing spots and restaurants that suit their preferences and enjoy a wide range of Japan's attractions.

[0696] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0697] Step 1:

[0698] User

[0699] When a user launches the app on their device, a welcome screen appears. The user selects "Enter Profile" and enters their name, nationality, past travel history, and travel preferences.

[0700] input

[0701] Name, nationality, past travel history, travel preferences

[0702] output

[0703] Profile information entered

[0704] Specific actions

[0705] The user enters their name, nationality, past travel history (e.g., places they have visited before and how long they stayed there), and travel preferences (e.g., historical tourist spots, preference for spicy food) into the input form on their device. After completing the input, they press the "Submit" button.

[0706] Step 2:

[0707] Terminal

[0708] Your profile information is sent to a server using the HTTPS protocol, ensuring the security of your information.

[0709] input

[0710] Profile information entered on the device

[0711] output

[0712] Profile information sent to the server

[0713] Specific actions

[0714] The device sends the entered profile information to the server via the HTTPS protocol.

[0715] Step 3:

[0716] server

[0717] The server receives the profile information and retrieves past traveller data, tourist information and restaurant data from a database (e.g. MySQL).

[0718] input

[0719] Profile information sent from the device

[0720] output

[0721] Historical traveller data, tourist information and restaurant data obtained from databases

[0722] Specific actions

[0723] The server receives the profile information and queries a MySQL database to retrieve historical traveler data, tourist information, and restaurant information, with a particular focus on historical data for users of the same nationality.

[0724] Step 4:

[0725] server

[0726] It uses a generative AI model (e.g., OpenAI's GPT-4) to generate optimal travel plans based on profile information and acquired data.

[0727] input

[0728] Profile information, past traveller data retrieved from databases, tourist information, and restaurant data

[0729] output

[0730] Generated optimal travel plan

[0731] Specific actions

[0732] The server inputs profile information, past traveler data, and tourist information into the generative AI model as prompts, and the model outputs an optimal travel plan (e.g., tourist spots, accommodations, transportation, and restaurants) based on this information.

[0733] Step 5:

[0734] server

[0735] The generated travel plan is sent to the terminal.

[0736] input

[0737] Generated itinerary

[0738] output

[0739] Travel plans sent to the user's device

[0740] Specific actions

[0741] The server sends the generated itinerary to the terminal using the HTTPS protocol.

[0742] Step 6:

[0743] Terminal

[0744] To display a received travel plan to a user in a visually easy-to-understand manner.

[0745] input

[0746] Travel plans sent from the server

[0747] output

[0748] The itinerary displayed to the user

[0749] Specific actions

[0750] The device displays the received travel plans on a user interface, allowing the user to select from multiple proposals. Each plan is also displayed with the reason for its recommendation.

[0751] Step 7:

[0752] User

[0753] Select your travel plan, enter your booking information and submit.

[0754] input

[0755] Your selected travel plans and reservation information (e.g., credit card information, additional requests)

[0756] output

[0757] Reservation information sent to the server

[0758] Specific actions

[0759] The user selects a travel plan, enters the required information (credit card information, additional requests, etc.) on the reservation procedure screen, and presses the "Submit Reservation" button.

[0760] Step 8:

[0761] server

[0762] Reservation information is received, a reservation request is sent to each reservation destination, and a confirmation response is received.

[0763] input

[0764] Reservation information sent from the device

[0765] output

[0766] Confirmation response from the reservation destination, reservation confirmation information

[0767] Specific actions

[0768] The server receives the reservation information, calls the APIs of the accommodations, transportation providers, and restaurants to send a reservation request, receives confirmation responses from each reservation provider, and generates confirmation of the reservation.

[0769] Step 9:

[0770] server

[0771] Confirmation of reservation is sent to the user's terminal.

[0772] input

[0773] Confirmation from the reservation destination

[0774] output

[0775] Confirmation of reservation sent to the user's device

[0776] Specific actions

[0777] After the server receives confirmation responses from each reservation destination, it collects information indicating that all reservations have been confirmed and sends this information to the user's terminal.

[0778] Step 10:

[0779] Terminal

[0780] Provides real-time information on schedules, transportation information, and tourist attractions while traveling.

[0781] input

[0782] Information requests from users, latest information from the server

[0783] output

[0784] Real-time schedules, transportation information, and tourist information provided to users

[0785] Specific actions

[0786] When the user requests additional information during their trip, the terminal communicates with the server to obtain the latest tourist information and transportation guides, which are then displayed to the user in real time.

[0787] (Application example 1)

[0788] 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."

[0789] With conventional travel support systems, foreign tourists often have difficulty understanding Japan's food culture and choosing restaurants. Language barriers and differences in food preferences are particularly significant hurdles, resulting in unsatisfactory dining experiences during their trips. Furthermore, there is a lack of real-time information provided during travel and meal suggestions tailored to individual preferences. To solve this issue, a system with support functions specialized for individual dining experiences is needed, in addition to improving the accuracy of travel plan generation.

[0790] 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.

[0791] In this invention, the server includes first means including a generative model for generating a travel plan based on past travel history and individual travel preferences, second means for making reservations for accommodations, transportation, restaurants, etc. according to the travel plan, third means for displaying the travel plan and reservation status on the user's terminal, fourth means for centrally managing the travel plan proposals and reservation procedures, fifth means for recommending optimal restaurants and delivery services based on the food preferences, sixth means for making reservations for the restaurants and delivery services, seventh means for visually displaying menu information for the restaurants and delivery services and translating it into a foreign language, and eighth means for providing restaurant and delivery status information in real time during the trip. This enables foreign tourists to overcome food culture and language barriers and enjoy travel and dining experiences that suit their individual preferences.

[0792] "Travel plan generation" refers to creating a plan that combines tourist attractions, accommodations, transportation, restaurants, etc. that are optimal for a traveler based on their past travel history and individual travel preferences.

[0793] "Reservation procedure" refers to the series of operations and processes required for a traveler to make a reservation for the accommodation, transportation, restaurant, etc. of their choice.

[0794] A "generative AI model" is an artificial intelligence model that uses a user's profile data and data on past travelers of the same nationality to generate optimal travel plans and meal suggestions.

[0795] "Terminal" refers to an electronic device such as a smartphone or tablet used by a user, and in this system is used to display travel plans and perform reservation procedures.

[0796] A "database" refers to a system or server that collects and stores traveler data, tourist information, accommodation information, restaurant information, etc.

[0797] "Restaurant recommendations" means suggesting restaurants that are considered best suited to a traveler based on the traveler's food preferences and past data.

[0798] "Delivery service" refers to a service that delivers meals to a traveler's home or accommodation as a dining option, and this system recommends services that match the user's preferences.

[0799] "Menu translation" refers to the function of converting restaurant menus into a traveler's native language so that foreign travelers can enjoy local restaurants without having to face a language barrier.

[0800] "Real-time information provision" means instantly obtaining the latest restaurant information and reservation status and providing it to travelers while they are traveling.

[0801] "Centralized management" means integrating and managing all functions, from generating travel plans to booking procedures and providing information.

[0802] This invention is a system for optimizing travel and dining experiences in Japan for foreign tourists. It uses a generative AI model to generate travel plans and dining suggestions based on past travel history and individual travel preferences. The system consists of three main components: a server, a terminal, and a user.

[0803] 1. Initial settings and profile entry

[0804] Terminal

[0805] When a user launches the app, a start screen is displayed. The user then moves to a screen where they can enter their profile, including their name, nationality, travel history, food preferences (e.g., they like spicy food), etc. The entered profile data is then sent to the server.

[0806] 2. Data analysis and plan generation

[0807] server

[0808] The server receives the profile data sent from the device. It then retrieves past traveler data, sightseeing information, accommodation information, and restaurant information from the database. Based on this information, the generative AI model generates the optimal travel and dining plans for the user. The generated plans include tourist attractions, accommodation, transportation, and dining options (restaurants and delivery services). For example, if the user is of a particular nationality and likes spicy food, the server analyzes the database to find popular spots and dining trends visited by past travelers of the same nationality, and proposes a plan tailored to the user.

[0809] 3. Presenting your travel and meal plans

[0810] server

[0811] The generated optimal travel and meal plans are sent to the terminal.

[0812] Terminal

[0813] The device displays the received plans in a visually easy-to-understand manner to the user. Each plan is accompanied by a recommendation reason. The user can select the plan that most interests them from multiple proposals. Menu information is also translated into foreign languages, and cultural background information is provided.

[0814] 4. Reservation Procedure

[0815] User

[0816] The reservation is then made based on the travel and meal plans selected by the user.

[0817] Terminal

[0818] The reservation process screen is displayed, providing a form for entering the necessary information (e.g., credit card information, additional requests, etc.), which is then sent to the server.

[0819] server

[0820] The server receives the reservation information sent from the device and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant, delivery service). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the device.

[0821] 5. Travel support

[0822] Terminal

[0823] Once the trip begins, the device will be enabled with a feature that provides real-time updates on the trip schedule, transportation information, and dining information. When the user requests additional information, the device will communicate with the server to retrieve and display the latest information. Specifically, restaurant menus and delivery status will be updated in real time.

[0824] Specific examples

[0825] For example, an American traveler opens the app and enters their profile. The entered data is sent to the server, which generates a travel plan based on the traveler's past travel history and food preferences, including historical tourist spots in Kyoto, spicy restaurants in Osaka, and traditional inns for accommodation. This plan, along with translated menu information, is sent to the traveler's device, and the traveler selects the plan and proceeds with the reservation process. This system enables travelers to overcome food culture and language barriers and enjoy individually optimized travel and dining experiences in Japan.

[0826] Prompt Sentence Examples

[0827] System prompt: "Generate suggestions for restaurants and delivery services in Japan, taking into account the traveler's name, nationality, and food preferences."

[0828] User prompt: "My name is John, I'm from America, I like spicy food, and I'm traveling to Kyoto."

[0829] The hardware and software used are a smartphone, Python, Django (backend), React Native (mobile app), and GPT-4 API (generative AI model).

[0830] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0831] Step 1:

[0832] The device starts up and the user moves to the profile input screen. The user inputs their name, nationality, past travel history, travel preferences (e.g., they like historical tourist spots, they like spicy food), etc. The input data is sent from the device to the server. The input includes profile data (name, nationality, past travel history, preferences), and is sent to the server as JSON format data.

[0833] Step 2:

[0834] The server receives the profile data sent from the device. It then retrieves past traveler data, sightseeing information, accommodation information, restaurant information, etc. from the database. Using this information, the generative AI model generates the optimal travel and meal plans for the user. The past traveler data and the input profile data are used for data analysis. The generative AI model is applied, and the generated travel and meal plans are output.

[0835] Step 3:

[0836] The server sends the generated travel and meal plans to the device. The device then displays the received plans in a visually easy-to-understand format. The display also includes detailed information about each plan (tourist attractions, accommodations, transportation options, and restaurants) and the reasons for the recommendation. The user can select the plan that interests them most from multiple suggestions. The input includes the generated plan data, and the output is the plan information displayed on the user's device.

[0837] Step 4:

[0838] The booking process is carried out based on the travel and meal plans selected by the user.

[0839] Step 5:

[0840] The terminal displays the reservation screen and provides a form for the user to enter the necessary information (e.g., credit card information, additional requests, etc.). The entered reservation information is sent from the terminal to the server. The input includes reservation information (lodging, restaurant, transportation details, etc.) and is sent to the server.

[0841] Step 6:

[0842] The server receives the reservation information sent from the device and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant, delivery service). It receives confirmation responses from each reservation destination and sends the confirmed reservation information to the device. The server makes an API call to each reservation destination, receives confirmation responses, and sends them to the device.

[0843] Step 7:

[0844] The device enables real-time travel schedule, transportation information, and dining updates as the trip begins. This includes translated restaurant menu information and real-time updates on delivery status. When the user requests additional information, the device communicates with the server to retrieve and display the latest information. The input includes the user's requested information, and the output is the latest updated information.

[0845] 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.

[0846] The present invention is a system for optimizing Japan travel for foreign tourists, and generates travel plans by combining a generative AI model and an emotion engine. Specific embodiments of the system are described below.

[0847] The system consists of three main components: the server, the terminal, and the user.

[0848] 1. Initial settings and profile entry

[0849] Terminal

[0850] When a user launches the app, a start screen is displayed. The user selects the option to enter a profile, and moves to the profile entry screen. The user enters their name, nationality, past travel history, travel preferences (e.g., they like historical tourist sites, they like spicy food), etc. The entered profile data is then sent to the server.

[0851] 2. Data analysis and plan generation

[0852] server

[0853] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates an optimal travel plan for the user. Furthermore, an emotion engine for analyzing the user's emotions collects the profile data and real-time emotion data. This emotion data is also input into the generative AI model, which generates an optimized travel plan based on the user's emotions. The generated travel plan includes tourist attractions, accommodations, transportation, and restaurants.

[0854] 3. Presenting and adjusting travel plans

[0855] server

[0856] The generated optimal travel plan is sent to the terminal.

[0857] Terminal

[0858] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan also displays the reason for its recommendation. While the user is reviewing the plan, the emotion engine analyzes facial expressions and voice tone to evaluate the user's emotions in real time. If the user is dissatisfied with the presented plan, this information is sent to the server, and a new plan is generated.

[0859] 4. Reservation Procedure

[0860] User

[0861] The user selects a travel plan and proceeds with the booking.

[0862] Terminal

[0863] A form is provided for entering the necessary information (e.g. credit card information, additional requests, etc.) on the reservation process screen. This information is sent to the server.

[0864] server

[0865] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[0866] 5. Travel support and emotional assessment

[0867] Terminal

[0868] Once the trip begins, the device will be enabled with real-time information on the trip schedule, transportation information, and the latest tourist information. In addition, an emotion engine will continuously analyze the user's emotions during the trip and evaluate their satisfaction with the travel plan.

[0869] User

[0870] The emotion engine continuously analyzes the user's emotions during the trip, and if there are any particularly dissatisfied or stressful moments, the user will receive real-time support and the plan will be adjusted as necessary.

[0871] As a concrete example, John, an American, opens the app and enters his profile. The entered data is sent to the server, which then generates an optimal travel plan based on John's past travel history and preferences. When John confirms the plan, the emotion engine analyzes his facial expressions and voice tone to evaluate in real time whether he is satisfied with the presented plan. If dissatisfaction is detected, the server generates and re-proposes a new plan. Real-time support during the trip also utilizes emotion data to optimize John's travel experience.

[0872] Through these steps, the present invention is a system that enables foreign tourists to enjoy their trip to Japan in a more individually optimized way. The introduction of an emotion engine makes it possible to generate and adjust travel plans that take into account the user's emotional state, which is expected to improve the travel experience.

[0873] The processing flow will be explained below.

[0874] Step 1:

[0875] Terminal

[0876] Launches the app and displays the welcome screen, offering the user profile options.

[0877] Step 2:

[0878] Terminal

[0879] When the user selects the profile entry option, a profile entry screen is displayed, with input fields including name, nationality, past travel history, and travel preferences (e.g., preference for historical sites, preference for spicy food).

[0880] Step 3:

[0881] User

[0882] Enter your profile data into the form and press the "Submit" button.

[0883] Step 4:

[0884] Terminal

[0885] The entered profile data is sent to the server.

[0886] Step 5:

[0887] server

[0888] It receives profile data sent from the device and retrieves past traveler data, tourist information for each region, and restaurant data from the database.

[0889] Step 6:

[0890] server

[0891] Based on the acquired information and profile data, the AI ​​model begins analysis and generates the optimal travel plan for the user.

[0892] Step 7:

[0893] server

[0894] In addition, the emotion engine collects profile data and real-time emotion data, which is then input into a generative AI model to generate an optimized travel plan based on the user's emotions.

[0895] Step 8:

[0896] server

[0897] The generated travel plan is sent to the user's terminal.

[0898] Step 9:

[0899] Terminal

[0900] The received travel plans are displayed to the user in a visually easy-to-understand manner, and each plan is accompanied by the reason for its recommendation.

[0901] Step 10:

[0902] Terminal

[0903] While the user is reviewing the plan, the emotion engine analyzes facial expressions and vocal tone to assess the user's emotions in real time.

[0904] Step 11:

[0905] Terminal

[0906] If the user is not satisfied with the offered plan, he / she sends that information to the server.

[0907] Step 12:

[0908] server

[0909] The server receives the dissatisfied emotion data and starts generating a new plan, which is then sent to the device again.

[0910] Step 13:

[0911] User

[0912] Plan proposals and emotional evaluations are repeated until the user is satisfied with the proposed plan.

[0913] Step 14:

[0914] User

[0915] Select the plan that satisfies you and press the reservation button.

[0916] Step 15:

[0917] Terminal

[0918] The reservation process screen will appear, providing a form for you to enter the necessary information (e.g., credit card details, additional requests).

[0919] Step 16:

[0920] User

[0921] Enter the information required for the reservation procedure and press the "Submit" button.

[0922] Step 17:

[0923] Terminal

[0924] The reservation information entered by the user is sent to the server.

[0925] Step 18:

[0926] server

[0927] Reservation information sent from the terminal is received and a reservation request is sent to each reservation destination (accommodation, transportation, restaurant, etc.).

[0928] Step 19:

[0929] server

[0930] A confirmation response is received from each reservation destination, and reservation confirmation information is sent to the terminal.

[0931] Step 20:

[0932] Terminal

[0933] Confirmation of reservation information is displayed to the user.

[0934] Step 21:

[0935] Terminal

[0936] On the day of your trip, enable real-time travel support features, providing you with the latest information on your trip schedule, transportation, and tourist attractions.

[0937] Step 22:

[0938] Terminal

[0939] The emotion engine continuously analyzes the user's emotions during the trip and evaluates their satisfaction with the travel plan.

[0940] Step 23:

[0941] Terminal

[0942] If users require additional assistance during their trip, they will receive assistance in real time and their plan will be adjusted as needed.

[0943] Step 24:

[0944] User

[0945] After completing the trip, users access the feedback screen provided by the device and enter their satisfaction and impressions of the trip.

[0946] Step 25:

[0947] Terminal

[0948] Send the user's feedback data to the server.

[0949] Step 26:

[0950] server

[0951] Feedback data is received and stored in a database for use in generating next travel plans.

[0952] Example 2

[0953] 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."

[0954] Conventional travel plan generation systems have difficulty providing optimal travel plans because they are unable to reflect users' individual preferences and real-time emotional states. Furthermore, they lack real-time support based on users' emotional evaluations during the trip. This leads to lower user satisfaction and a poor travel experience.

[0955] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0956] In this invention, the server includes means for receiving profile data entered by the user and generating a travel plan based on the received profile data, means for utilizing a generative model and an emotion engine using the profile data and emotion data, and means for transmitting the generated travel plan to the user's terminal and for the emotion engine to analyze the user's emotions in real time. This makes it possible to provide an optimal travel plan that reflects the user's individual preferences and real-time emotional state. Furthermore, real-time support is provided during the trip, improving user satisfaction.

[0957] "Profile Data" refers to information entered by a user, such as name, nationality, past travel history, and travel preferences.

[0958] "Emotional data" refers to information about the user's emotional state obtained by analyzing the user's facial expressions and vocal tone.

[0959] "Generative model" refers to an algorithm or machine learning model that generates optimal travel plans based on profile data and sentiment data.

[0960] An "emotion engine" refers to a system that analyzes a user's facial expressions and vocal tone in real time and generates emotional data.

[0961] The term "travel plan" refers to a user's travel schedule, which mainly includes tourist spots, accommodations, transportation, restaurants, etc.

[0962] A "generative AI model" refers to an artificial intelligence model that uses technologies such as machine learning and deep learning to generate travel plans.

[0963] "Terminal" refers to a device such as a computer or smartphone that a user uses to input information or check travel plans.

[0964] "Server" refers to a computer system that receives user input data and processes the data using a generative model and emotion engine.

[0965] "Real-time support" refers to analyzing the user's emotional data while traveling and providing immediate assistance or adjusting plans if the user feels dissatisfied or stressed.

[0966] This invention is a system for optimizing Japan travel for foreign tourists. This system generates and provides optimal travel plans using a generative AI model and emotion engine based on user-entered profile data and real-time acquired emotion data.

[0967] First, the user launches the application on their device and enters their profile data. This profile data includes their name, nationality, past travel history, and travel preferences (e.g., historical tourist spots, spicy food, etc.). An example of a prompt might be, "Please tell us your name, nationality, favorite tourist spots and dishes, and places you have visited in the past."

[0968] The device then sends the entered profile data to the server, which receives the profile data and stores it in a database that includes past traveler data, tourist information for each area, and restaurant information.

[0969] The server utilizes a generative AI model to generate an optimal travel plan based on the profile data and emotional data. This generative AI model uses machine learning and deep learning technologies, and takes the user's profile data and emotional data acquired in real time as input. In addition, the emotion engine collects the user's emotional data (facial expressions and vocal tone) and sends it to the server, allowing the generative AI model to generate a travel plan that reflects the user's emotional state.

[0970] The generated travel plan is a comprehensive schedule including sightseeing spots, accommodations, transportation, restaurants, etc. This plan is sent from the server to the device and displayed visually to the user on the device. While the user is checking the plan, the device uses an emotion engine to analyze the user's facial expressions and voice tone and evaluate the user's emotions in real time.

[0971] If the user is not satisfied with the proposed plan, the information is sent to the server based on the user's emotional evaluation. The server then uses the generative AI model to generate a new travel plan and re-propose it to the user. This provides the user with the most suitable travel plan.

[0972] Once the travel plan has been selected, the user proceeds with the reservation process through the terminal. The user enters the necessary information, such as credit card information and any additional requests, on the reservation process screen. The terminal sends this information to the server, which then sends a reservation request to each reservation destination (accommodation, transportation, restaurant). As soon as a reservation confirmation response is received, the server sends that information back to the terminal and notifies the user of the reservation confirmation information.

[0973] During the trip, the device provides real-time travel schedules, transportation information, and the latest tourist information. The emotion engine continuously analyzes the user's emotions during the trip and provides support for situations where the user feels particularly dissatisfied or stressed. The server receives the emotion data in real time and adjusts the travel plan as needed.

[0974] In this way, the system can provide an optimal travel plan that reflects the user's individual preferences and real-time emotional state, improving the user's travel experience.

[0975] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0976] Step 1:

[0977] Profile Input

[0978] A user launches the application and enters profile data, such as name, nationality, past travel history, and travel preferences (e.g., historical sites, spicy food). The entered profile data provides the basis for identifying the user's travel preferences.

[0979] Input: Name, nationality, past travel history, travel preferences

[0980] Output: Profile data

[0981] Step 2:

[0982] Sending data to the server

[0983] The device sends the profile data entered by the user to the server, where it is securely transmitted and prepared for processing.

[0984] Input: Profile data

[0985] Output: Profile data sent to the server

[0986] Step 3:

[0987] Saving to a database

[0988] The server receives the profile data and stores it in a database that is then used by the generative AI model. The database already contains data on past travelers, tourist information, and restaurant information.

[0989] Input: Profile data sent to the server

[0990] Output: Profile data stored in a database

[0991] Step 4:

[0992] Plan Generation

[0993] The server retrieves past traveler data, tourist information for each region, and restaurant data from the database, and combines this with profile data to generate a travel plan using a generative AI model. Emotional data is also used during this process. The generative AI model analyzes the data and selects the best tourist spots, accommodations, transportation, and restaurants for the user.

[0994] Input: Profile data, past traveller data, tourist information, restaurant data, emotional data

[0995] Output: Generated itinerary

[0996] Step 5:

[0997] Submit your travel plans

[0998] The server sends the generated travel plan to the terminal, which includes details of tourist spots, accommodations, transportation, and restaurants.

[0999] Input: Generated itinerary

[1000] Output: Travel plan sent to device

[1001] Step 6:

[1002] Travel plan display and sentiment analysis

[1003] The device displays the received travel plan to the user in a visually easy-to-understand manner. While the user is checking the plan, the emotion engine analyzes facial expressions and voice tone to evaluate the user's emotions in real time. The evaluation results are displayed on the device.

[1004] Input: Travel plan sent to the device

[1005] Output: A travel plan that can be viewed by the user, and real-time sentiment evaluation results

[1006] Step 7:

[1007] Plan Adjustment

[1008] If the user is dissatisfied with the travel plan, the device sends that information to the server, which uses the generative AI model based on the emotion evaluation results to generate a new plan and sends it back to the device.

[1009] Input: User's emotion evaluation results, dissatisfaction information

[1010] Output: New itinerary

[1011] Step 8:

[1012] Reservation procedure

[1013] The user then proceeds with the reservation process based on the travel plan they have finally decided on. The terminal provides a form for entering credit card information and any additional requests, and sends this information to the server. The server then sends the reservation information to each reservation destination and receives a confirmation response.

[1014] Input: User's reservation information (credit card information, additional requests)

[1015] Output: Confirmed reservation information

[1016] Step 9:

[1017] Travel support and emotional assessment

[1018] The device provides real-time information on travel schedules, traffic information, and the latest tourist information. The emotion engine continuously analyzes the user's emotions and provides support if they feel dissatisfied or stressed. The server then takes appropriate action based on this information.

[1019] Input: Travel schedule, traffic information, emotional data

[1020] Output: Real-time information provision, emotional support

[1021] (Application example 2)

[1022] 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."

[1023] Conventional travel plan generation systems provide a uniform plan without considering the emotional state of the traveler, which means that the plan provided may not fully match the traveler's wishes. Furthermore, they have the problem of being unable to detect dissatisfaction or stress felt by the traveler in real time and quickly adjust the plan. This can lead to a decrease in traveler satisfaction and a loss of quality in the travel experience.

[1024] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1025] In this invention, the server includes: means for including a generative model that generates a travel plan based on past travel history and individual travel preferences; means for making reservations for accommodations, transportation, restaurants, etc. according to the travel plan; means for displaying the travel plan and reservation status on the user's terminal; and means for analyzing the user's facial expressions and voice in real time using emotion analysis means and adjusting the travel plan based on the emotion information. This makes it possible to provide a personalized travel plan that takes into account the traveler's emotional state, and to analyze the traveler's emotions in real time during the trip and adjust the plan as needed.

[1026] "Past travel history" refers to records of tourist attractions and accommodations that a traveler has previously visited, the means of transportation and restaurants that they have used, etc.

[1027] "Individual travel preferences" are personal preferences such as the elements that a traveler particularly values ​​when traveling, activities that interest them, food preferences, and types of tourist attractions.

[1028] A "generative model" is an algorithm or program that uses artificial intelligence to automatically generate travel plans based on input data.

[1029] "Accommodation facilities" are facilities such as hotels, inns, and guesthouses where travelers can stay.

[1030] "Transportation" refers to the means of transportation that travelers use to get around, such as trains, buses, taxis, and airplanes.

[1031] "Eating and drinking establishments" are establishments that provide food and drink to travelers, such as restaurants, cafes, and izakayas.

[1032] The "reservation procedure" refers to the procedure by which travelers reserve services such as accommodation, transportation, and restaurants in advance.

[1033] "Display" means providing information visually on the user's terminal.

[1034] "Management" means overseeing the entire procedure and ensuring it proceeds efficiently.

[1035] "Emotion analysis means" is a technology that uses sensors such as cameras and microphones to analyze the user's facial expressions and voice and estimate the user's emotional state.

[1036] "Adjusting" means changing the contents of your travel plans to suit your circumstances and needs.

[1037] A "generative AI model" is a machine learning model that uses artificial intelligence to generate optimal travel plans based on input data.

[1038] This embodiment describes a system for optimizing Japan travel for foreign tourists in an autonomous vehicle. This system consists of three main components: a server, a terminal, and a user. The detailed operation of each component is described below.

[1039] 1. Initial settings and profile entry

[1040] Terminal

[1041] When a user gets into an autonomous vehicle, the tablet device inside the vehicle starts up. A start screen is displayed, and the user moves to a profile input screen. On the profile input screen, the user enters their name, nationality, past travel history, travel preferences (e.g., preference for historical tourist sites, preference for spicy food), etc. The entered profile data is sent to the server.

[1042] 2. Data analysis and plan generation

[1043] server

[1044] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates the optimal travel plan for the user. The generated travel plan includes tourist destinations, accommodations, transportation, and restaurants.

[1045] The server also uses sentiment analysis to analyze users' emotions, collecting profile data and real-time emotional data, which is then input into a generative AI model to generate an optimized travel plan based on the user's emotions.

[1046] 3. Presenting and adjusting travel plans

[1047] server

[1048] The generated optimal travel plan is sent to the terminal.

[1049] Terminal

[1050] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan also displays the reason for its recommendation. While the user is reviewing the plan, an emotion analysis means analyzes the user's facial expressions and voice tone to evaluate the user's emotions in real time. If the user is dissatisfied with the presented plan, that information is sent to the server, and the generation of a new plan is initiated.

[1051] 4. Reservation Procedure

[1052] User

[1053] The user selects a travel plan and proceeds with the booking.

[1054] Terminal

[1055] A form is provided for entering the necessary information (e.g. credit card information, additional requests, etc.) on the reservation process screen. This information is sent to the server.

[1056] server

[1057] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[1058] 5. Travel support and emotional assessment

[1059] Terminal

[1060] Once the trip begins, the device will be enabled with a function that provides real-time travel schedules, transportation information, and the latest information on tourist spots. In addition, a sentiment analysis tool will continuously analyze the user's emotions during the trip and evaluate their satisfaction with the travel plan.

[1061] User

[1062] During the trip, the emotion analysis tool continuously analyzes the user's emotions, and if there are any particularly dissatisfied or stressful moments, the user will receive real-time support and the plan will be adjusted as necessary.

[1063] Hardware and software used

[1064] Hardware: Tablet or display, camera, microphone inside the autonomous vehicle

[1065] Software: OpenAI GPT-3 (generative AI model), Microsoft Azure Face API (emotion analysis method)

[1066] Specific examples

[1067] For example, when a foreign tourist boards a self-driving vehicle and enters their profile on a tablet, the following prompt is used:

[1068] "Create the best itinerary for your tourists. Their preferences are historical sites and spicy food."

[1069] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1070] Step 1:

[1071] A user enters an autonomous vehicle and starts up the tablet device inside the vehicle. A start screen is displayed, and the user moves to a profile entry screen. Entry items include name, nationality, past travel history, and travel preferences. The entered profile data is sent to the server.

[1072] Input: Name, Nationality, Past Travel History, Travel Preferences.

[1073] Data processing: Convert the input data into JSON format and send it to the server.

[1074] Output: The profile data sent to the server.

[1075] Step 2:

[1076] The server receives the profile data sent from the device and then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database.

[1077] Input: Profile data.

[1078] Data processing: Using database queries to retrieve corresponding tourist data and tourist information.

[1079] Output: Traveler data, tourist information, restaurant data.

[1080] Step 3:

[1081] The generative AI model is launched and the profile data, acquired traveler data, and tourist information are input. The generative AI model generates the optimal travel plan based on this data.

[1082] Input: Profile data, traveller data, tourist information.

[1083] Data computation: Data input and generation processing for generative AI models.

[1084] Output: The generated itinerary.

[1085] Step 4:

[1086] The generated travel plans are sent from the server to the device, which then displays the plans to the user in a visually easy-to-understand manner, along with the reasons for recommending each plan.

[1087] Input: The generated itinerary.

[1088] Data processing: Format conversion and display processing of plan data.

[1089] Output: The itinerary displayed on the device.

[1090] Step 5:

[1091] While the user is checking their travel plans, the device's built-in camera and microphone analyze the user's facial expressions and voice in real time, and the emotion analysis means receives this information and estimates the user's emotional state.

[1092] Input: User's facial expressions and voice data.

[1093] Data Computing: Analysis of data collected by cameras and microphones.

[1094] Output: Estimated emotion data.

[1095] Step 6:

[1096] If the user is not satisfied with the proposed plan, the emotion data is sent to the server, which then starts generating a new plan.

[1097] Input: Emotion data.

[1098] Data computation: The process of evaluating and regenerating plans based on affective data.

[1099] Output: The newly generated itinerary.

[1100] Step 7:

[1101] The user then makes reservations for accommodations, transportation, restaurants, etc. according to the travel plan they have finally selected. The user then moves to the reservation procedure screen and enters the necessary information. This information is then sent to the server, which then sends a reservation request to each reservation destination.

[1102] Input: Selected travel plan, user's booking information.

[1103] Data processing: Sending reservation information and receiving confirmation responses.

[1104] Output: Confirmed reservation information.

[1105] 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.

[1106] 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.

[1107] 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.

[1108] [Third embodiment]

[1109] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1110] 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.

[1111] 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).

[1112] 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.

[1113] 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.

[1114] 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).

[1115] 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.

[1116] 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.

[1117] 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.

[1118] 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.

[1119] 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.

[1120] 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."

[1121] The present invention is a system for optimizing Japan travel for foreign tourists, and uses a generative AI model to generate travel plans based on past travel history and individual travel preferences. Specific embodiments of the system are described below.

[1122] The system consists of three main components: the server, the terminal, and the user.

[1123] 1. Initial settings and profile entry

[1124] Terminal

[1125] When a user launches the app, a start screen is displayed. The user selects the option to enter a profile, and moves to the profile entry screen. The user enters their name, nationality, past travel history, travel preferences (e.g., they like historical tourist sites, they like spicy food), etc. The entered profile data is then sent to the server.

[1126] 2. Data analysis and plan generation

[1127] server

[1128] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates the optimal travel plan for the user. The generated travel plan includes tourist attractions, accommodations, transportation, and restaurants. For example, if the user is American, the server analyzes the database to find popular spots and dining habits visited by past American travelers and proposes a plan tailored to the user.

[1129] 3. Presenting your travel plan

[1130] server

[1131] The generated optimal travel plan is sent to the terminal.

[1132] Terminal

[1133] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan is accompanied by the reason for its recommendation. The user can then select the plan that interests them most from the multiple proposals.

[1134] 4. Reservation Procedure

[1135] User

[1136] The user selects a travel plan and proceeds with the booking.

[1137] Terminal

[1138] A form is provided on the reservation procedure screen to enter the necessary information (e.g., credit card information, additional requests, etc.). This information is sent to the server.

[1139] server

[1140] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[1141] 5. Travel support

[1142] Terminal

[1143] Once the trip begins, the device will be enabled with a function that provides real-time travel schedules, transportation information, and the latest information on tourist spots. When the user requests additional information, the device will communicate with the server to retrieve and display the latest information.

[1144] For example, John, an American, opens the app and enters his profile information. The entered data is sent to a server, which generates a travel plan based on John's past travel history and preferences, including historical tourist spots in Kyoto, a spicy ramen restaurant in Osaka, and a traditional ryokan (traditional Japanese inn) as accommodation. This plan is then sent to John's device, where he selects the plan and proceeds with the reservation process.

[1145] Through these steps, the present invention is a system that allows foreign tourists to enjoy their trip to Japan in a more individually optimized way, allowing them to easily choose sightseeing spots and restaurants that suit their preferences and enjoy a wide range of attractions throughout Japan.

[1146] The processing flow will be explained below.

[1147] Step 1:

[1148] Terminal

[1149] Launches the app and displays the welcome screen, offering the user profile options.

[1150] Step 2:

[1151] Terminal

[1152] When the user selects the profile entry option, a profile entry screen is displayed, with input fields including name, nationality, past travel history, and travel preferences (e.g., preference for historical sites, preference for spicy food).

[1153] Step 3:

[1154] User

[1155] Enter your profile data into the form and press the "Submit" button.

[1156] Step 4:

[1157] Terminal

[1158] The entered profile data is sent to the server.

[1159] Step 5:

[1160] server

[1161] Receives profile data sent from the device and retrieves past traveler data, tourist information for each region, restaurant data, etc. from the database.

[1162] Step 6:

[1163] server

[1164] Based on the acquired information and profile data, the AI ​​model begins analysis and generates a travel plan that is optimal for the user, including tourist spots, accommodations, transportation, and restaurants.

[1165] Step 7:

[1166] server

[1167] The generated travel plan is sent to the user's terminal.

[1168] Step 8:

[1169] Terminal

[1170] The received travel plans are displayed to the user in a visually easy-to-understand manner, and each plan is accompanied by the reason for its recommendation.

[1171] Step 9:

[1172] User

[1173] Review the proposed travel plans and choose the one that interests you most.

[1174] Step 10:

[1175] User

[1176] Click the reservation button within the selected travel plan to begin the booking process.

[1177] Step 11:

[1178] Terminal

[1179] Displays the reservation process screen and provides a form for entering required information (e.g., credit card information, additional requests, etc.).

[1180] Step 12:

[1181] User

[1182] Enter the information required for the reservation procedure and press the "Submit" button.

[1183] Step 13:

[1184] Terminal

[1185] The reservation information entered by the user is sent to the server.

[1186] Step 14:

[1187] server

[1188] Receives reservation information sent from the device. Sends reservation requests to each reservation destination (accommodation, transportation, restaurant, etc.).

[1189] Step 15:

[1190] server

[1191] A confirmation response is received from each reservation destination, and reservation confirmation information is sent to the terminal.

[1192] Step 16:

[1193] Terminal

[1194] Confirmation of reservation information is displayed to the user.

[1195] Step 17:

[1196] Terminal

[1197] On the day of your trip, activate the real-time travel support function, which provides real-time information on your trip schedule, transportation, and tourist attractions.

[1198] Step 18:

[1199] User

[1200] If you need additional information or help during your trip, you can receive support in real time through your device.

[1201] Step 19:

[1202] User

[1203] After completing the trip, users access the feedback screen provided by the device and enter their satisfaction and impressions of the trip.

[1204] Step 20:

[1205] Terminal

[1206] Send the user's feedback data to the server.

[1207] Step 21:

[1208] server

[1209] Feedback data is received and stored in a database for use in generating next travel plans.

[1210] Through this series of steps, users can easily create an individually optimized travel plan and fully enjoy their trip to Japan. Real-time support during their trip will also further enhance their travel experience.

[1211] Example 1

[1212] 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."

[1213] Conventional travel planning systems have difficulty making suggestions based on individual travelers' preferences and past travel history. They also lack the functionality to centrally manage travel plan suggestions and booking procedures, forcing travelers to go through cumbersome procedures individually. Furthermore, they lack the ability to provide real-time support information during travel, making it difficult for travelers to gather information while on the go.

[1214] 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.

[1215] In this invention, the server includes: means for a user to input profile information on a terminal and send it to the server; means for the server to receive the profile information and retrieve past traveler data and tourist information from a database; means for generating an optimal travel plan based on the profile information and the retrieved data using a generative AI model; means for the server to send the generated travel plan to the user's terminal; means for the user to select a travel plan on the terminal and input reservation information; means for the server to receive the reservation information, send a reservation request to each reservation destination, and receive a confirmation response; and means for the terminal to provide the user with schedules, transportation information, and the latest information on tourist spots in real time while traveling. This makes it possible to provide optimal travel plans that meet the individual preferences of travelers, centrally manage travel plan suggestions and reservation procedures, and provide real-time support during the trip.

[1216] "User" refers to an individual who uses the system to create a travel plan and receive support for the reservation process and during the trip.

[1217] A "terminal" is a device used by a user, and includes mobile devices such as smartphones and tablets, as well as personal computers.

[1218] "Server" refers to the central processing unit that receives user profile information, performs data analysis, and generates and manages travel plans.

[1219] "Profile Information" refers to personal information entered by a user, such as name, nationality, past travel history, and travel preferences.

[1220] A "database" is a data storage system that stores information such as past traveler data, tourist information, and restaurant data.

[1221] "Generative AI model" refers to an artificial intelligence model that generates optimal travel plans based on profile information and information obtained from a database.

[1222] "Travel Plan" refers to a plan that includes suggestions for sightseeing spots, accommodations, transportation, dining, etc., generated based on a user's profile information and travel preferences.

[1223] "Reservation information" refers to detailed information required to make reservations for accommodations, transportation, restaurants, etc. based on the travel plan selected by the user.

[1224] "Real-time support" refers to the ability to instantly provide users with information they need while traveling, such as schedule confirmation, transportation information, and the latest information on tourist spots.

[1225] The present invention is a system that provides optimal Japan travel plans for foreign tourists, and uses a generative AI model to generate travel plans based on the past travel history and individual travel preferences of each individual traveler. Specific embodiments of this system are described below.

[1226] The system consists of three main components: a server, a terminal, and a user. The server is likely to be built on a cloud infrastructure such as AWS (Amazon Web Services) EC2. The terminal is a mobile device such as an iPhone or Android smartphone. The generative AI model used is OpenAI's GPT-4.

[1227] When a user launches the app on their device, a welcome screen appears. The user selects "Enter Profile" and enters information such as name, nationality, past travel history, travel preferences, etc. This profile information is then sent to the server via the HTTPS protocol.

[1228] The server receives the profile information sent from the device. It then retrieves past traveler data, sightseeing information, and restaurant data from a database (e.g., MySQL). In particular, by extracting data on travelers of the same nationality, it uses this data as the basis for generating the most suitable travel plan for the user.

[1229] The server generates a travel plan using a generative AI model (e.g., OpenAI's GPT-4). This profile information and the acquired data are input as prompts into the generative AI model to generate an optimal travel plan.

[1230] The generated travel plan includes tourist attractions, accommodations, transportation, restaurants, etc., and is sent from the server to the terminal. The terminal displays the received travel plan in a visually easy-to-understand manner to the user. The user can select the most interesting plan from the multiple proposed travel plans and proceed with the reservation procedure.

[1231] When a user selects a travel plan and enters and submits the necessary reservation information (e.g., credit card information, additional requests, etc.), the server receives this information and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). As soon as it receives a confirmation response from each reservation destination, it sends the reservation confirmation information to the user's terminal.

[1232] Once the trip begins, the device activates a function that provides real-time travel schedules, transportation information, and updated tourist information. When the user requests additional information, the device communicates with the server to retrieve and display the latest information.

[1233] For example, an American user opens the app and enters their profile information. The entered data is sent to a server, which generates a travel plan based on the user's past travel history and preferences, including historical tourist spots in Kyoto, spicy ramen restaurants in Osaka, and traditional accommodations. The plan is then sent to the user's device, where the user can select the plan and proceed with the booking process.

[1234] Examples of prompts include:

[1235] "Generate travel recommendations. Profile information: Name: Username, Nationality: American, Travel history: Visited several cities in Japan, Preferences: Historical tourist sites, Spicy food."

[1236] "Suggest the best travel itinerary for the user. The user is looking for a historical guide to Kyoto, and an American who likes spicy food."

[1237] As a result, the present invention enables foreign tourists to enjoy their trip to Japan in a more individually optimized manner, allowing them to easily choose sightseeing spots and restaurants that suit their preferences and enjoy a wide range of Japan's attractions.

[1238] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1239] Step 1:

[1240] User

[1241] When a user launches the app on their device, a welcome screen appears. The user selects "Enter Profile" and enters their name, nationality, past travel history, and travel preferences.

[1242] input

[1243] Name, nationality, past travel history, travel preferences

[1244] output

[1245] Profile information entered

[1246] Specific actions

[1247] The user enters their name, nationality, past travel history (e.g., places they have visited before and how long they stayed there), and travel preferences (e.g., historical tourist spots, preference for spicy food) into the input form on their device. After completing the input, they press the "Submit" button.

[1248] Step 2:

[1249] Terminal

[1250] Your profile information is sent to a server using the HTTPS protocol, ensuring the security of your information.

[1251] input

[1252] Profile information entered on the device

[1253] output

[1254] Profile information sent to the server

[1255] Specific actions

[1256] The device sends the entered profile information to the server via the HTTPS protocol.

[1257] Step 3:

[1258] server

[1259] The server receives the profile information and retrieves past traveller data, tourist information and restaurant data from a database (e.g. MySQL).

[1260] input

[1261] Profile information sent from the device

[1262] output

[1263] Historical traveller data, tourist information and restaurant data obtained from databases

[1264] Specific actions

[1265] The server receives the profile information and queries a MySQL database to retrieve historical traveler data, tourist information, and restaurant information, with a particular focus on historical data for users of the same nationality.

[1266] Step 4:

[1267] server

[1268] It uses a generative AI model (e.g., OpenAI's GPT-4) to generate optimal travel plans based on profile information and acquired data.

[1269] input

[1270] Profile information, past traveller data retrieved from databases, tourist information, and restaurant data

[1271] output

[1272] Generated optimal travel plan

[1273] Specific actions

[1274] The server inputs profile information, past traveler data, and tourist information into the generative AI model as prompts, and the model outputs an optimal travel plan (e.g., tourist spots, accommodations, transportation, and restaurants) based on this information.

[1275] Step 5:

[1276] server

[1277] The generated travel plan is sent to the terminal.

[1278] input

[1279] Generated itinerary

[1280] output

[1281] Travel plans sent to the user's device

[1282] Specific actions

[1283] The server sends the generated itinerary to the terminal using the HTTPS protocol.

[1284] Step 6:

[1285] Terminal

[1286] To display a received travel plan to a user in a visually easy-to-understand manner.

[1287] input

[1288] Travel plans sent from the server

[1289] output

[1290] The itinerary displayed to the user

[1291] Specific actions

[1292] The device displays the received travel plans on a user interface, allowing the user to select from multiple proposals. Each plan is also displayed with the reason for its recommendation.

[1293] Step 7:

[1294] User

[1295] Select your travel plan, enter your booking information and submit.

[1296] input

[1297] Your selected travel plans and reservation information (e.g., credit card information, additional requests)

[1298] output

[1299] Reservation information sent to the server

[1300] Specific actions

[1301] The user selects a travel plan, enters the required information (credit card information, additional requests, etc.) on the reservation procedure screen, and presses the "Submit Reservation" button.

[1302] Step 8:

[1303] server

[1304] Reservation information is received, a reservation request is sent to each reservation destination, and a confirmation response is received.

[1305] input

[1306] Reservation information sent from the device

[1307] output

[1308] Confirmation response from the reservation destination, reservation confirmation information

[1309] Specific actions

[1310] The server receives the reservation information, calls the APIs of the accommodations, transportation providers, and restaurants to send a reservation request, receives confirmation responses from each reservation provider, and generates confirmation of the reservation.

[1311] Step 9:

[1312] server

[1313] Confirmation of reservation is sent to the user's terminal.

[1314] input

[1315] Confirmation from the reservation destination

[1316] output

[1317] Confirmation of reservation sent to the user's device

[1318] Specific actions

[1319] After the server receives confirmation responses from each reservation destination, it collects information indicating that all reservations have been confirmed and sends this information to the user's terminal.

[1320] Step 10:

[1321] Terminal

[1322] Provides real-time information on schedules, transportation information, and tourist attractions while traveling.

[1323] input

[1324] Information requests from users, latest information from the server

[1325] output

[1326] Real-time schedules, transportation information, and tourist information provided to users

[1327] Specific actions

[1328] When the user requests additional information during their trip, the terminal communicates with the server to obtain the latest tourist information and transportation guides, which are then displayed to the user in real time.

[1329] (Application example 1)

[1330] 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."

[1331] With conventional travel support systems, foreign tourists often have difficulty understanding Japan's food culture and choosing restaurants. Language barriers and differences in food preferences are particularly significant hurdles, resulting in unsatisfactory dining experiences during their trips. Furthermore, there is a lack of real-time information provided during travel and meal suggestions tailored to individual preferences. To solve this issue, a system with support functions specialized for individual dining experiences is needed, in addition to improving the accuracy of travel plan generation.

[1332] 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.

[1333] In this invention, the server includes first means including a generative model for generating a travel plan based on past travel history and individual travel preferences, second means for making reservations for accommodations, transportation, restaurants, etc. according to the travel plan, third means for displaying the travel plan and reservation status on the user's terminal, fourth means for centrally managing the travel plan proposals and reservation procedures, fifth means for recommending optimal restaurants and delivery services based on the food preferences, sixth means for making reservations for the restaurants and delivery services, seventh means for visually displaying menu information for the restaurants and delivery services and translating it into a foreign language, and eighth means for providing restaurant and delivery status information in real time during the trip. This enables foreign tourists to overcome food culture and language barriers and enjoy travel and dining experiences that suit their individual preferences.

[1334] "Travel plan generation" refers to creating a plan that combines tourist attractions, accommodations, transportation, restaurants, etc. that are optimal for a traveler based on their past travel history and individual travel preferences.

[1335] "Reservation procedure" refers to the series of operations and processes required for a traveler to make a reservation for the accommodation, transportation, restaurant, etc. of their choice.

[1336] A "generative AI model" is an artificial intelligence model that uses a user's profile data and data on past travelers of the same nationality to generate optimal travel plans and meal suggestions.

[1337] "Terminal" refers to an electronic device such as a smartphone or tablet used by a user, and in this system is used to display travel plans and perform reservation procedures.

[1338] A "database" refers to a system or server that collects and stores traveler data, tourist information, accommodation information, restaurant information, etc.

[1339] "Restaurant recommendations" means suggesting restaurants that are considered best suited to a traveler based on the traveler's food preferences and past data.

[1340] "Delivery service" refers to a service that delivers meals to a traveler's home or accommodation as a dining option, and this system recommends services that match the user's preferences.

[1341] "Menu translation" refers to the function of converting restaurant menus into a traveler's native language so that foreign travelers can enjoy local restaurants without having to face a language barrier.

[1342] "Real-time information provision" means instantly obtaining the latest restaurant information and reservation status and providing it to travelers while they are traveling.

[1343] "Centralized management" means integrating and managing all functions, from generating travel plans to booking procedures and providing information.

[1344] This invention is a system for optimizing travel and dining experiences in Japan for foreign tourists. It uses a generative AI model to generate travel plans and dining suggestions based on past travel history and individual travel preferences. The system consists of three main components: a server, a terminal, and a user.

[1345] 1. Initial settings and profile entry

[1346] Terminal

[1347] When a user launches the app, a start screen is displayed. The user then moves to a screen where they can enter their profile, including their name, nationality, travel history, food preferences (e.g., they like spicy food), etc. The entered profile data is then sent to the server.

[1348] 2. Data analysis and plan generation

[1349] server

[1350] The server receives the profile data sent from the device. It then retrieves past traveler data, sightseeing information, accommodation information, and restaurant information from the database. Based on this information, the generative AI model generates the optimal travel and dining plans for the user. The generated plans include tourist attractions, accommodation, transportation, and dining options (restaurants and delivery services). For example, if the user is of a particular nationality and likes spicy food, the server analyzes the database to find popular spots and dining trends visited by past travelers of the same nationality, and proposes a plan tailored to the user.

[1351] 3. Presenting your travel and meal plans

[1352] server

[1353] The generated optimal travel and meal plans are sent to the terminal.

[1354] Terminal

[1355] The device displays the received plans in a visually easy-to-understand manner to the user. Each plan is accompanied by a recommendation reason. The user can select the plan that most interests them from multiple proposals. Menu information is also translated into foreign languages, and cultural background information is provided.

[1356] 4. Reservation Procedure

[1357] User

[1358] The reservation is then made based on the travel and meal plans selected by the user.

[1359] Terminal

[1360] The reservation process screen is displayed, providing a form for entering the necessary information (e.g., credit card information, additional requests, etc.), which is then sent to the server.

[1361] server

[1362] The server receives the reservation information sent from the device and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant, delivery service). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the device.

[1363] 5. Travel support

[1364] Terminal

[1365] Once the trip begins, the device will be enabled with a feature that provides real-time updates on the trip schedule, transportation information, and dining information. When the user requests additional information, the device will communicate with the server to retrieve and display the latest information. Specifically, restaurant menus and delivery status will be updated in real time.

[1366] Specific examples

[1367] For example, an American traveler opens the app and enters their profile. The entered data is sent to the server, which generates a travel plan based on the traveler's past travel history and food preferences, including historical tourist spots in Kyoto, spicy restaurants in Osaka, and traditional inns for accommodation. This plan, along with translated menu information, is sent to the traveler's device, and the traveler selects the plan and proceeds with the reservation process. This system enables travelers to overcome food culture and language barriers and enjoy individually optimized travel and dining experiences in Japan.

[1368] Prompt Sentence Examples

[1369] System prompt: "Generate suggestions for restaurants and delivery services in Japan, taking into account the traveler's name, nationality, and food preferences."

[1370] User prompt: "My name is John, I'm from America, I like spicy food, and I'm traveling to Kyoto."

[1371] The hardware and software used are a smartphone, Python, Django (backend), React Native (mobile app), and GPT-4 API (generative AI model).

[1372] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1373] Step 1:

[1374] The device starts up and the user moves to the profile input screen. The user inputs their name, nationality, past travel history, travel preferences (e.g., they like historical tourist spots, they like spicy food), etc. The input data is sent from the device to the server. The input includes profile data (name, nationality, past travel history, preferences), and is sent to the server as JSON format data.

[1375] Step 2:

[1376] The server receives the profile data sent from the device. It then retrieves past traveler data, sightseeing information, accommodation information, restaurant information, etc. from the database. Using this information, the generative AI model generates the optimal travel and meal plans for the user. The past traveler data and the input profile data are used for data analysis. The generative AI model is applied, and the generated travel and meal plans are output.

[1377] Step 3:

[1378] The server sends the generated travel and meal plans to the device. The device then displays the received plans in a visually easy-to-understand format. The display also includes detailed information about each plan (tourist attractions, accommodations, transportation options, and restaurants) and the reasons for the recommendation. The user can select the plan that interests them most from multiple suggestions. The input includes the generated plan data, and the output is the plan information displayed on the user's device.

[1379] Step 4:

[1380] The booking process is carried out based on the travel and meal plans selected by the user.

[1381] Step 5:

[1382] The terminal displays the reservation screen and provides a form for the user to enter the necessary information (e.g., credit card information, additional requests, etc.). The entered reservation information is sent from the terminal to the server. The input includes reservation information (lodging, restaurant, transportation details, etc.) and is sent to the server.

[1383] Step 6:

[1384] The server receives the reservation information sent from the device and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant, delivery service). It receives confirmation responses from each reservation destination and sends the confirmed reservation information to the device. The server makes an API call to each reservation destination, receives confirmation responses, and sends them to the device.

[1385] Step 7:

[1386] The device enables real-time travel schedule, transportation information, and dining updates as the trip begins. This includes translated restaurant menu information and real-time updates on delivery status. When the user requests additional information, the device communicates with the server to retrieve and display the latest information. The input includes the user's requested information, and the output is the latest updated information.

[1387] 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.

[1388] The present invention is a system for optimizing Japan travel for foreign tourists, and generates travel plans by combining a generative AI model and an emotion engine. Specific embodiments of the system are described below.

[1389] The system consists of three main components: the server, the terminal, and the user.

[1390] 1. Initial settings and profile entry

[1391] Terminal

[1392] When a user launches the app, a start screen is displayed. The user selects the option to enter a profile, and moves to the profile entry screen. The user enters their name, nationality, past travel history, travel preferences (e.g., they like historical tourist sites, they like spicy food), etc. The entered profile data is then sent to the server.

[1393] 2. Data analysis and plan generation

[1394] server

[1395] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates an optimal travel plan for the user. Furthermore, an emotion engine for analyzing the user's emotions collects the profile data and real-time emotion data. This emotion data is also input into the generative AI model, which generates an optimized travel plan based on the user's emotions. The generated travel plan includes tourist attractions, accommodations, transportation, and restaurants.

[1396] 3. Presenting and adjusting travel plans

[1397] server

[1398] The generated optimal travel plan is sent to the terminal.

[1399] Terminal

[1400] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan also displays the reason for its recommendation. While the user is reviewing the plan, the emotion engine analyzes facial expressions and voice tone to evaluate the user's emotions in real time. If the user is dissatisfied with the presented plan, this information is sent to the server, and a new plan is generated.

[1401] 4. Reservation Procedure

[1402] User

[1403] The user selects a travel plan and proceeds with the booking.

[1404] Terminal

[1405] A form is provided for entering the necessary information (e.g. credit card information, additional requests, etc.) on the reservation process screen. This information is sent to the server.

[1406] server

[1407] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[1408] 5. Travel support and emotional assessment

[1409] Terminal

[1410] Once the trip begins, the device will be enabled with real-time information on the trip schedule, transportation information, and the latest tourist information. In addition, an emotion engine will continuously analyze the user's emotions during the trip and evaluate their satisfaction with the travel plan.

[1411] User

[1412] The emotion engine continuously analyzes the user's emotions during the trip, and if there are any particularly dissatisfied or stressful moments, the user will receive real-time support and the plan will be adjusted as necessary.

[1413] As a concrete example, John, an American, opens the app and enters his profile. The entered data is sent to the server, which then generates an optimal travel plan based on John's past travel history and preferences. When John confirms the plan, the emotion engine analyzes his facial expressions and voice tone to evaluate in real time whether he is satisfied with the presented plan. If dissatisfaction is detected, the server generates and re-proposes a new plan. Real-time support during the trip also utilizes emotion data to optimize John's travel experience.

[1414] Through these steps, the present invention is a system that enables foreign tourists to enjoy their trip to Japan in a more individually optimized way. The introduction of an emotion engine makes it possible to generate and adjust travel plans that take into account the user's emotional state, which is expected to improve the travel experience.

[1415] The processing flow will be explained below.

[1416] Step 1:

[1417] Terminal

[1418] Launches the app and displays the welcome screen, offering the user profile options.

[1419] Step 2:

[1420] Terminal

[1421] When the user selects the profile entry option, a profile entry screen is displayed, with input fields including name, nationality, past travel history, and travel preferences (e.g., preference for historical sites, preference for spicy food).

[1422] Step 3:

[1423] User

[1424] Enter your profile data into the form and press the "Submit" button.

[1425] Step 4:

[1426] Terminal

[1427] The entered profile data is sent to the server.

[1428] Step 5:

[1429] server

[1430] It receives profile data sent from the device and retrieves past traveler data, tourist information for each region, and restaurant data from the database.

[1431] Step 6:

[1432] server

[1433] Based on the acquired information and profile data, the AI ​​model begins analysis and generates the optimal travel plan for the user.

[1434] Step 7:

[1435] server

[1436] In addition, the emotion engine collects profile data and real-time emotion data, which is then input into a generative AI model to generate an optimized travel plan based on the user's emotions.

[1437] Step 8:

[1438] server

[1439] The generated travel plan is sent to the user's terminal.

[1440] Step 9:

[1441] Terminal

[1442] The received travel plans are displayed to the user in a visually easy-to-understand manner, and each plan is accompanied by the reason for its recommendation.

[1443] Step 10:

[1444] Terminal

[1445] While the user is reviewing the plan, the emotion engine analyzes facial expressions and vocal tone to assess the user's emotions in real time.

[1446] Step 11:

[1447] Terminal

[1448] If the user is not satisfied with the offered plan, he / she sends that information to the server.

[1449] Step 12:

[1450] server

[1451] The server receives the dissatisfied emotion data and starts generating a new plan, which is then sent to the device again.

[1452] Step 13:

[1453] User

[1454] Plan proposals and emotional evaluations are repeated until the user is satisfied with the proposed plan.

[1455] Step 14:

[1456] User

[1457] Select the plan that satisfies you and press the reservation button.

[1458] Step 15:

[1459] Terminal

[1460] The reservation process screen will appear, providing a form for you to enter the necessary information (e.g., credit card details, additional requests).

[1461] Step 16:

[1462] User

[1463] Enter the information required for the reservation procedure and press the "Submit" button.

[1464] Step 17:

[1465] Terminal

[1466] The reservation information entered by the user is sent to the server.

[1467] Step 18:

[1468] server

[1469] Reservation information sent from the terminal is received and a reservation request is sent to each reservation destination (accommodation, transportation, restaurant, etc.).

[1470] Step 19:

[1471] server

[1472] A confirmation response is received from each reservation destination, and reservation confirmation information is sent to the terminal.

[1473] Step 20:

[1474] Terminal

[1475] Confirmation of reservation information is displayed to the user.

[1476] Step 21:

[1477] Terminal

[1478] On the day of your trip, enable real-time travel support features, providing you with the latest information on your trip schedule, transportation, and tourist attractions.

[1479] Step 22:

[1480] Terminal

[1481] The emotion engine continuously analyzes the user's emotions during the trip and evaluates their satisfaction with the travel plan.

[1482] Step 23:

[1483] Terminal

[1484] If users require additional assistance during their trip, they will receive assistance in real time and their plan will be adjusted as needed.

[1485] Step 24:

[1486] User

[1487] After completing the trip, users access the feedback screen provided by the device and enter their satisfaction and impressions of the trip.

[1488] Step 25:

[1489] Terminal

[1490] Send the user's feedback data to the server.

[1491] Step 26:

[1492] server

[1493] Feedback data is received and stored in a database for use in generating next travel plans.

[1494] Example 2

[1495] 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."

[1496] Conventional travel plan generation systems have difficulty providing optimal travel plans because they are unable to reflect users' individual preferences and real-time emotional states. Furthermore, they lack real-time support based on users' emotional evaluations during the trip. This leads to lower user satisfaction and a poor travel experience.

[1497] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1498] In this invention, the server includes means for receiving profile data entered by the user and generating a travel plan based on the received profile data, means for utilizing a generative model and an emotion engine using the profile data and emotion data, and means for transmitting the generated travel plan to the user's terminal and for the emotion engine to analyze the user's emotions in real time. This makes it possible to provide an optimal travel plan that reflects the user's individual preferences and real-time emotional state. Furthermore, real-time support is provided during the trip, improving user satisfaction.

[1499] "Profile Data" refers to information entered by a user, such as name, nationality, past travel history, and travel preferences.

[1500] "Emotional data" refers to information about the user's emotional state obtained by analyzing the user's facial expressions and vocal tone.

[1501] "Generative model" refers to an algorithm or machine learning model that generates optimal travel plans based on profile data and sentiment data.

[1502] An "emotion engine" refers to a system that analyzes a user's facial expressions and vocal tone in real time and generates emotional data.

[1503] The term "travel plan" refers to a user's travel schedule, which mainly includes tourist spots, accommodations, transportation, restaurants, etc.

[1504] A "generative AI model" refers to an artificial intelligence model that uses technologies such as machine learning and deep learning to generate travel plans.

[1505] "Terminal" refers to a device such as a computer or smartphone that a user uses to input information or check travel plans.

[1506] "Server" refers to a computer system that receives user input data and processes the data using a generative model and emotion engine.

[1507] "Real-time support" refers to analyzing the user's emotional data while traveling and providing immediate assistance or adjusting plans if the user feels dissatisfied or stressed.

[1508] This invention is a system for optimizing Japan travel for foreign tourists. This system generates and provides optimal travel plans using a generative AI model and emotion engine based on user-entered profile data and real-time acquired emotion data.

[1509] First, the user launches the application on their device and enters their profile data. This profile data includes their name, nationality, past travel history, and travel preferences (e.g., historical tourist spots, spicy food, etc.). An example of a prompt might be, "Please tell us your name, nationality, favorite tourist spots and dishes, and places you have visited in the past."

[1510] The device then sends the entered profile data to the server, which receives the profile data and stores it in a database that includes past traveler data, tourist information for each area, and restaurant information.

[1511] The server utilizes a generative AI model to generate an optimal travel plan based on the profile data and emotional data. This generative AI model uses machine learning and deep learning technologies, and takes the user's profile data and emotional data acquired in real time as input. In addition, the emotion engine collects the user's emotional data (facial expressions and vocal tone) and sends it to the server, allowing the generative AI model to generate a travel plan that reflects the user's emotional state.

[1512] The generated travel plan is a comprehensive schedule including sightseeing spots, accommodations, transportation, restaurants, etc. This plan is sent from the server to the device and displayed visually to the user on the device. While the user is checking the plan, the device uses an emotion engine to analyze the user's facial expressions and voice tone and evaluate the user's emotions in real time.

[1513] If the user is not satisfied with the proposed plan, the information is sent to the server based on the user's emotional evaluation. The server then uses the generative AI model to generate a new travel plan and re-propose it to the user. This provides the user with the most suitable travel plan.

[1514] Once the travel plan has been selected, the user proceeds with the reservation process through the terminal. The user enters the necessary information, such as credit card information and any additional requests, on the reservation process screen. The terminal sends this information to the server, which then sends a reservation request to each reservation destination (accommodation, transportation, restaurant). As soon as a reservation confirmation response is received, the server sends that information back to the terminal and notifies the user of the reservation confirmation information.

[1515] During the trip, the device provides real-time travel schedules, transportation information, and the latest tourist information. The emotion engine continuously analyzes the user's emotions during the trip and provides support for situations where the user feels particularly dissatisfied or stressed. The server receives the emotion data in real time and adjusts the travel plan as needed.

[1516] In this way, the system can provide an optimal travel plan that reflects the user's individual preferences and real-time emotional state, improving the user's travel experience.

[1517] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1518] Step 1:

[1519] Profile Input

[1520] A user launches the application and enters profile data, such as name, nationality, past travel history, and travel preferences (e.g., historical sites, spicy food). The entered profile data provides the basis for identifying the user's travel preferences.

[1521] Input: Name, nationality, past travel history, travel preferences

[1522] Output: Profile data

[1523] Step 2:

[1524] Sending data to the server

[1525] The device sends the profile data entered by the user to the server, where it is securely transmitted and prepared for processing.

[1526] Input: Profile data

[1527] Output: Profile data sent to the server

[1528] Step 3:

[1529] Saving to a database

[1530] The server receives the profile data and stores it in a database that is then used by the generative AI model. The database already contains data on past travelers, tourist information, and restaurant information.

[1531] Input: Profile data sent to the server

[1532] Output: Profile data stored in a database

[1533] Step 4:

[1534] Plan Generation

[1535] The server retrieves past traveler data, tourist information for each region, and restaurant data from the database, and combines this with profile data to generate a travel plan using a generative AI model. Emotional data is also used during this process. The generative AI model analyzes the data and selects the best tourist spots, accommodations, transportation, and restaurants for the user.

[1536] Input: Profile data, past traveller data, tourist information, restaurant data, emotional data

[1537] Output: Generated itinerary

[1538] Step 5:

[1539] Submit your travel plans

[1540] The server sends the generated travel plan to the terminal, which includes details of tourist spots, accommodations, transportation, and restaurants.

[1541] Input: Generated itinerary

[1542] Output: Travel plan sent to device

[1543] Step 6:

[1544] Travel plan display and sentiment analysis

[1545] The device displays the received travel plan to the user in a visually easy-to-understand manner. While the user is checking the plan, the emotion engine analyzes facial expressions and voice tone to evaluate the user's emotions in real time. The evaluation results are displayed on the device.

[1546] Input: Travel plan sent to the device

[1547] Output: A travel plan that can be viewed by the user, and real-time sentiment evaluation results

[1548] Step 7:

[1549] Plan Adjustment

[1550] If the user is dissatisfied with the travel plan, the device sends that information to the server, which uses the generative AI model based on the emotion evaluation results to generate a new plan and sends it back to the device.

[1551] Input: User's emotion evaluation results, dissatisfaction information

[1552] Output: New itinerary

[1553] Step 8:

[1554] Reservation procedure

[1555] The user then proceeds with the reservation process based on the travel plan they have finally decided on. The terminal provides a form for entering credit card information and any additional requests, and sends this information to the server. The server then sends the reservation information to each reservation destination and receives a confirmation response.

[1556] Input: User's reservation information (credit card information, additional requests)

[1557] Output: Confirmed reservation information

[1558] Step 9:

[1559] Travel support and emotional assessment

[1560] The device provides real-time information on travel schedules, traffic information, and the latest tourist information. The emotion engine continuously analyzes the user's emotions and provides support if they feel dissatisfied or stressed. The server then takes appropriate action based on this information.

[1561] Input: Travel schedule, traffic information, emotional data

[1562] Output: Real-time information provision, emotional support

[1563] (Application example 2)

[1564] 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."

[1565] Conventional travel plan generation systems provide a uniform plan without considering the emotional state of the traveler, which means that the plan provided may not fully match the traveler's wishes. Furthermore, they have the problem of being unable to detect dissatisfaction or stress felt by the traveler in real time and quickly adjust the plan. This can lead to a decrease in traveler satisfaction and a loss of quality in the travel experience.

[1566] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1567] In this invention, the server includes: means for including a generative model that generates a travel plan based on past travel history and individual travel preferences; means for making reservations for accommodations, transportation, restaurants, etc. according to the travel plan; means for displaying the travel plan and reservation status on the user's terminal; and means for analyzing the user's facial expressions and voice in real time using emotion analysis means and adjusting the travel plan based on the emotion information. This makes it possible to provide a personalized travel plan that takes into account the traveler's emotional state, and to analyze the traveler's emotions in real time during the trip and adjust the plan as needed.

[1568] "Past travel history" refers to records of tourist attractions and accommodations that a traveler has previously visited, the means of transportation and restaurants that they have used, etc.

[1569] "Individual travel preferences" are personal preferences such as the elements that a traveler particularly values ​​when traveling, activities that interest them, food preferences, and types of tourist attractions.

[1570] A "generative model" is an algorithm or program that uses artificial intelligence to automatically generate travel plans based on input data.

[1571] "Accommodation facilities" are facilities such as hotels, inns, and guesthouses where travelers can stay.

[1572] "Transportation" refers to the means of transportation that travelers use to get around, such as trains, buses, taxis, and airplanes.

[1573] "Eating and drinking establishments" are establishments that provide food and drink to travelers, such as restaurants, cafes, and izakayas.

[1574] The "reservation procedure" refers to the procedure by which travelers reserve services such as accommodation, transportation, and restaurants in advance.

[1575] "Display" means providing information visually on the user's terminal.

[1576] "Management" means overseeing the entire procedure and ensuring it proceeds efficiently.

[1577] "Emotion analysis means" is a technology that uses sensors such as cameras and microphones to analyze the user's facial expressions and voice and estimate the user's emotional state.

[1578] "Adjusting" means changing the contents of your travel plans to suit your circumstances and needs.

[1579] A "generative AI model" is a machine learning model that uses artificial intelligence to generate optimal travel plans based on input data.

[1580] This embodiment describes a system for optimizing Japan travel for foreign tourists in an autonomous vehicle. This system consists of three main components: a server, a terminal, and a user. The detailed operation of each component is described below.

[1581] 1. Initial settings and profile entry

[1582] Terminal

[1583] When a user gets into an autonomous vehicle, the tablet device inside the vehicle starts up. A start screen is displayed, and the user moves to a profile input screen. On the profile input screen, the user enters their name, nationality, past travel history, travel preferences (e.g., preference for historical tourist sites, preference for spicy food), etc. The entered profile data is sent to the server.

[1584] 2. Data analysis and plan generation

[1585] server

[1586] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates the optimal travel plan for the user. The generated travel plan includes tourist destinations, accommodations, transportation, and restaurants.

[1587] The server also uses sentiment analysis to analyze users' emotions, collecting profile data and real-time emotional data, which is then input into a generative AI model to generate an optimized travel plan based on the user's emotions.

[1588] 3. Presenting and adjusting travel plans

[1589] server

[1590] The generated optimal travel plan is sent to the terminal.

[1591] Terminal

[1592] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan also displays the reason for its recommendation. While the user is reviewing the plan, an emotion analysis means analyzes the user's facial expressions and voice tone to evaluate the user's emotions in real time. If the user is dissatisfied with the presented plan, that information is sent to the server, and the generation of a new plan is initiated.

[1593] 4. Reservation Procedure

[1594] User

[1595] The user selects a travel plan and proceeds with the booking.

[1596] Terminal

[1597] A form is provided for entering the necessary information (e.g. credit card information, additional requests, etc.) on the reservation process screen. This information is sent to the server.

[1598] server

[1599] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[1600] 5. Travel support and emotional assessment

[1601] Terminal

[1602] Once the trip begins, the device will be enabled with a function that provides real-time travel schedules, transportation information, and the latest information on tourist spots. In addition, a sentiment analysis tool will continuously analyze the user's emotions during the trip and evaluate their satisfaction with the travel plan.

[1603] User

[1604] During the trip, the emotion analysis tool continuously analyzes the user's emotions, and if there are any particularly dissatisfied or stressful moments, the user will receive real-time support and the plan will be adjusted as necessary.

[1605] Hardware and software used

[1606] Hardware: Tablet or display, camera, microphone inside the autonomous vehicle

[1607] Software: OpenAI GPT-3 (generative AI model), Microsoft Azure Face API (emotion analysis method)

[1608] Specific examples

[1609] For example, when a foreign tourist boards a self-driving vehicle and enters their profile on a tablet, the following prompt is used:

[1610] "Create the best itinerary for your tourists. Their preferences are historical sites and spicy food."

[1611] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1612] Step 1:

[1613] A user enters an autonomous vehicle and starts up the tablet device inside the vehicle. A start screen is displayed, and the user moves to a profile entry screen. Entry items include name, nationality, past travel history, and travel preferences. The entered profile data is sent to the server.

[1614] Input: Name, Nationality, Past Travel History, Travel Preferences.

[1615] Data processing: Convert the input data into JSON format and send it to the server.

[1616] Output: The profile data sent to the server.

[1617] Step 2:

[1618] The server receives the profile data sent from the device and then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database.

[1619] Input: Profile data.

[1620] Data processing: Using database queries to retrieve corresponding tourist data and tourist information.

[1621] Output: Traveler data, tourist information, restaurant data.

[1622] Step 3:

[1623] The generative AI model is launched and the profile data, acquired traveler data, and tourist information are input. The generative AI model generates the optimal travel plan based on this data.

[1624] Input: Profile data, traveller data, tourist information.

[1625] Data computation: Data input and generation processing for generative AI models.

[1626] Output: The generated itinerary.

[1627] Step 4:

[1628] The generated travel plans are sent from the server to the device, which then displays the plans to the user in a visually easy-to-understand manner, along with the reasons for recommending each plan.

[1629] Input: The generated itinerary.

[1630] Data processing: Format conversion and display processing of plan data.

[1631] Output: The itinerary displayed on the device.

[1632] Step 5:

[1633] While the user is checking their travel plans, the device's built-in camera and microphone analyze the user's facial expressions and voice in real time, and the emotion analysis means receives this information and estimates the user's emotional state.

[1634] Input: User's facial expressions and voice data.

[1635] Data Computing: Analysis of data collected by cameras and microphones.

[1636] Output: Estimated emotion data.

[1637] Step 6:

[1638] If the user is not satisfied with the proposed plan, the emotion data is sent to the server, which then starts generating a new plan.

[1639] Input: Emotion data.

[1640] Data computation: The process of evaluating and regenerating plans based on affective data.

[1641] Output: The newly generated itinerary.

[1642] Step 7:

[1643] The user then makes reservations for accommodations, transportation, restaurants, etc. according to the travel plan they have finally selected. The user then moves to the reservation procedure screen and enters the necessary information. This information is then sent to the server, which then sends a reservation request to each reservation destination.

[1644] Input: Selected travel plan, user's booking information.

[1645] Data processing: Sending reservation information and receiving confirmation responses.

[1646] Output: Confirmed reservation information.

[1647] 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.

[1648] 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.

[1649] 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.

[1650] [Fourth embodiment]

[1651] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1652] 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.

[1653] 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).

[1654] 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.

[1655] 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.

[1656] 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).

[1657] 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.

[1658] 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.

[1659] 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.

[1660] 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.

[1661] 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.

[1662] 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.

[1663] 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."

[1664] The present invention is a system for optimizing Japan travel for foreign tourists, and uses a generative AI model to generate travel plans based on past travel history and individual travel preferences. Specific embodiments of the system are described below.

[1665] The system consists of three main components: the server, the terminal, and the user.

[1666] 1. Initial settings and profile entry

[1667] Terminal

[1668] When a user launches the app, a start screen is displayed. The user selects the option to enter a profile, and moves to the profile entry screen. The user enters their name, nationality, past travel history, travel preferences (e.g., they like historical tourist sites, they like spicy food), etc. The entered profile data is then sent to the server.

[1669] 2. Data analysis and plan generation

[1670] server

[1671] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates the optimal travel plan for the user. The generated travel plan includes tourist attractions, accommodations, transportation, and restaurants. For example, if the user is American, the server analyzes the database to find popular spots and dining habits visited by past American travelers and proposes a plan tailored to the user.

[1672] 3. Presenting your travel plan

[1673] server

[1674] The generated optimal travel plan is sent to the terminal.

[1675] Terminal

[1676] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan is accompanied by the reason for its recommendation. The user can then select the plan that interests them most from the multiple proposals.

[1677] 4. Reservation Procedure

[1678] User

[1679] The user selects a travel plan and proceeds with the booking.

[1680] Terminal

[1681] A form is provided on the reservation procedure screen to enter the necessary information (e.g., credit card information, additional requests, etc.). This information is sent to the server.

[1682] server

[1683] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[1684] 5. Travel support

[1685] Terminal

[1686] Once the trip begins, the device will be enabled with a function that provides real-time travel schedules, transportation information, and the latest information on tourist spots. When the user requests additional information, the device will communicate with the server to retrieve and display the latest information.

[1687] For example, John, an American, opens the app and enters his profile information. The entered data is sent to a server, which generates a travel plan based on John's past travel history and preferences, including historical tourist spots in Kyoto, a spicy ramen restaurant in Osaka, and a traditional ryokan (traditional Japanese inn) as accommodation. This plan is then sent to John's device, where he selects the plan and proceeds with the reservation process.

[1688] Through these steps, the present invention is a system that allows foreign tourists to enjoy their trip to Japan in a more individually optimized way, allowing them to easily choose sightseeing spots and restaurants that suit their preferences and enjoy a wide range of attractions throughout Japan.

[1689] The processing flow will be explained below.

[1690] Step 1:

[1691] Terminal

[1692] Launches the app and displays the welcome screen, offering the user profile options.

[1693] Step 2:

[1694] Terminal

[1695] When the user selects the profile entry option, a profile entry screen is displayed, with input fields including name, nationality, past travel history, and travel preferences (e.g., preference for historical sites, preference for spicy food).

[1696] Step 3:

[1697] User

[1698] Enter your profile data into the form and press the "Submit" button.

[1699] Step 4:

[1700] Terminal

[1701] The entered profile data is sent to the server.

[1702] Step 5:

[1703] server

[1704] Receives profile data sent from the device and retrieves past traveler data, tourist information for each region, restaurant data, etc. from the database.

[1705] Step 6:

[1706] server

[1707] Based on the acquired information and profile data, the AI ​​model begins analysis and generates a travel plan that is optimal for the user, including tourist spots, accommodations, transportation, and restaurants.

[1708] Step 7:

[1709] server

[1710] The generated travel plan is sent to the user's terminal.

[1711] Step 8:

[1712] Terminal

[1713] The received travel plans are displayed to the user in a visually easy-to-understand manner, and each plan is accompanied by the reason for its recommendation.

[1714] Step 9:

[1715] User

[1716] Review the proposed travel plans and choose the one that interests you most.

[1717] Step 10:

[1718] User

[1719] Click the reservation button within the selected travel plan to begin the booking process.

[1720] Step 11:

[1721] Terminal

[1722] Displays the reservation process screen and provides a form for entering required information (e.g., credit card information, additional requests, etc.).

[1723] Step 12:

[1724] User

[1725] Enter the information required for the reservation procedure and press the "Submit" button.

[1726] Step 13:

[1727] Terminal

[1728] The reservation information entered by the user is sent to the server.

[1729] Step 14:

[1730] server

[1731] Receives reservation information sent from the device. Sends reservation requests to each reservation destination (accommodation, transportation, restaurant, etc.).

[1732] Step 15:

[1733] server

[1734] A confirmation response is received from each reservation destination, and reservation confirmation information is sent to the terminal.

[1735] Step 16:

[1736] Terminal

[1737] Confirmation of reservation information is displayed to the user.

[1738] Step 17:

[1739] Terminal

[1740] On the day of your trip, activate the real-time travel support function, which provides real-time information on your trip schedule, transportation, and tourist attractions.

[1741] Step 18:

[1742] User

[1743] If you need additional information or help during your trip, you can receive support in real time through your device.

[1744] Step 19:

[1745] User

[1746] After completing the trip, users access the feedback screen provided by the device and enter their satisfaction and impressions of the trip.

[1747] Step 20:

[1748] Terminal

[1749] Send the user's feedback data to the server.

[1750] Step 21:

[1751] server

[1752] Feedback data is received and stored in a database for use in generating next travel plans.

[1753] Through this series of steps, users can easily create an individually optimized travel plan and fully enjoy their trip to Japan. Real-time support during their trip will also further enhance their travel experience.

[1754] Example 1

[1755] 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."

[1756] Conventional travel planning systems have difficulty making suggestions based on individual travelers' preferences and past travel history. They also lack the functionality to centrally manage travel plan suggestions and booking procedures, forcing travelers to go through cumbersome procedures individually. Furthermore, they lack the ability to provide real-time support information during travel, making it difficult for travelers to gather information while on the go.

[1757] 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.

[1758] In this invention, the server includes: means for a user to input profile information on a terminal and send it to the server; means for the server to receive the profile information and retrieve past traveler data and tourist information from a database; means for generating an optimal travel plan based on the profile information and the retrieved data using a generative AI model; means for the server to send the generated travel plan to the user's terminal; means for the user to select a travel plan on the terminal and input reservation information; means for the server to receive the reservation information, send a reservation request to each reservation destination, and receive a confirmation response; and means for the terminal to provide the user with schedules, transportation information, and the latest information on tourist spots in real time while traveling. This makes it possible to provide optimal travel plans that meet the individual preferences of travelers, centrally manage travel plan suggestions and reservation procedures, and provide real-time support during the trip.

[1759] "User" refers to an individual who uses the system to create a travel plan and receive support for the reservation process and during the trip.

[1760] A "terminal" is a device used by a user, and includes mobile devices such as smartphones and tablets, as well as personal computers.

[1761] "Server" refers to the central processing unit that receives user profile information, performs data analysis, and generates and manages travel plans.

[1762] "Profile Information" refers to personal information entered by a user, such as name, nationality, past travel history, and travel preferences.

[1763] A "database" is a data storage system that stores information such as past traveler data, tourist information, and restaurant data.

[1764] "Generative AI model" refers to an artificial intelligence model that generates optimal travel plans based on profile information and information obtained from a database.

[1765] "Travel Plan" refers to a plan that includes suggestions for sightseeing spots, accommodations, transportation, dining, etc., generated based on a user's profile information and travel preferences.

[1766] "Reservation information" refers to detailed information required to make reservations for accommodations, transportation, restaurants, etc. based on the travel plan selected by the user.

[1767] "Real-time support" refers to the ability to instantly provide users with information they need while traveling, such as schedule confirmation, transportation information, and the latest information on tourist spots.

[1768] The present invention is a system that provides optimal Japan travel plans for foreign tourists, and uses a generative AI model to generate travel plans based on the past travel history and individual travel preferences of each individual traveler. Specific embodiments of this system are described below.

[1769] The system consists of three main components: a server, a terminal, and a user. The server is likely to be built on a cloud infrastructure such as AWS (Amazon Web Services) EC2. The terminal is a mobile device such as an iPhone or Android smartphone. The generative AI model used is OpenAI's GPT-4.

[1770] When a user launches the app on their device, a welcome screen appears. The user selects "Enter Profile" and enters information such as name, nationality, past travel history, travel preferences, etc. This profile information is then sent to the server via the HTTPS protocol.

[1771] The server receives the profile information sent from the device. It then retrieves past traveler data, sightseeing information, and restaurant data from a database (e.g., MySQL). In particular, by extracting data on travelers of the same nationality, it uses this data as the basis for generating the most suitable travel plan for the user.

[1772] The server generates a travel plan using a generative AI model (e.g., OpenAI's GPT-4). This profile information and the acquired data are input as prompts into the generative AI model to generate an optimal travel plan.

[1773] The generated travel plan includes tourist attractions, accommodations, transportation, restaurants, etc., and is sent from the server to the terminal. The terminal displays the received travel plan in a visually easy-to-understand manner to the user. The user can select the most interesting plan from the multiple proposed travel plans and proceed with the reservation procedure.

[1774] When a user selects a travel plan and enters and submits the necessary reservation information (e.g., credit card information, additional requests, etc.), the server receives this information and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). As soon as it receives a confirmation response from each reservation destination, it sends the reservation confirmation information to the user's terminal.

[1775] Once the trip begins, the device activates a function that provides real-time travel schedules, transportation information, and updated tourist information. When the user requests additional information, the device communicates with the server to retrieve and display the latest information.

[1776] For example, an American user opens the app and enters their profile information. The entered data is sent to a server, which generates a travel plan based on the user's past travel history and preferences, including historical tourist spots in Kyoto, spicy ramen restaurants in Osaka, and traditional accommodations. The plan is then sent to the user's device, where the user can select the plan and proceed with the booking process.

[1777] Examples of prompts include:

[1778] "Generate travel recommendations. Profile information: Name: Username, Nationality: American, Travel history: Visited several cities in Japan, Preferences: Historical tourist sites, Spicy food."

[1779] "Suggest the best travel itinerary for the user. The user is looking for a historical guide to Kyoto, and an American who likes spicy food."

[1780] As a result, the present invention enables foreign tourists to enjoy their trip to Japan in a more individually optimized manner, allowing them to easily choose sightseeing spots and restaurants that suit their preferences and enjoy a wide range of Japan's attractions.

[1781] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1782] Step 1:

[1783] User

[1784] When a user launches the app on their device, a welcome screen appears. The user selects "Enter Profile" and enters their name, nationality, past travel history, and travel preferences.

[1785] input

[1786] Name, nationality, past travel history, travel preferences

[1787] output

[1788] Profile information entered

[1789] Specific actions

[1790] The user enters their name, nationality, past travel history (e.g., places they have visited before and how long they stayed there), and travel preferences (e.g., historical tourist spots, preference for spicy food) into the input form on their device. After completing the input, they press the "Submit" button.

[1791] Step 2:

[1792] Terminal

[1793] Your profile information is sent to a server using the HTTPS protocol, ensuring the security of your information.

[1794] input

[1795] Profile information entered on the device

[1796] output

[1797] Profile information sent to the server

[1798] Specific actions

[1799] The device sends the entered profile information to the server via the HTTPS protocol.

[1800] Step 3:

[1801] server

[1802] The server receives the profile information and retrieves past traveller data, tourist information and restaurant data from a database (e.g. MySQL).

[1803] input

[1804] Profile information sent from the device

[1805] output

[1806] Historical traveller data, tourist information and restaurant data obtained from databases

[1807] Specific actions

[1808] The server receives the profile information and queries a MySQL database to retrieve historical traveler data, tourist information, and restaurant information, with a particular focus on historical data for users of the same nationality.

[1809] Step 4:

[1810] server

[1811] It uses a generative AI model (e.g., OpenAI's GPT-4) to generate optimal travel plans based on profile information and acquired data.

[1812] input

[1813] Profile information, past traveller data retrieved from databases, tourist information, and restaurant data

[1814] output

[1815] Generated optimal travel plan

[1816] Specific actions

[1817] The server inputs profile information, past traveler data, and tourist information into the generative AI model as prompts, and the model outputs an optimal travel plan (e.g., tourist spots, accommodations, transportation, and restaurants) based on this information.

[1818] Step 5:

[1819] server

[1820] The generated travel plan is sent to the terminal.

[1821] input

[1822] Generated itinerary

[1823] output

[1824] Travel plans sent to the user's device

[1825] Specific actions

[1826] The server sends the generated itinerary to the terminal using the HTTPS protocol.

[1827] Step 6:

[1828] Terminal

[1829] To display a received travel plan to a user in a visually easy-to-understand manner.

[1830] input

[1831] Travel plans sent from the server

[1832] output

[1833] The itinerary displayed to the user

[1834] Specific actions

[1835] The device displays the received travel plans on a user interface, allowing the user to select from multiple proposals. Each plan is also displayed with the reason for its recommendation.

[1836] Step 7:

[1837] User

[1838] Select your travel plan, enter your booking information and submit.

[1839] input

[1840] Your selected travel plans and reservation information (e.g., credit card information, additional requests)

[1841] output

[1842] Reservation information sent to the server

[1843] Specific actions

[1844] The user selects a travel plan, enters the required information (credit card information, additional requests, etc.) on the reservation procedure screen, and presses the "Submit Reservation" button.

[1845] Step 8:

[1846] server

[1847] Reservation information is received, a reservation request is sent to each reservation destination, and a confirmation response is received.

[1848] input

[1849] Reservation information sent from the device

[1850] output

[1851] Confirmation response from the reservation destination, reservation confirmation information

[1852] Specific actions

[1853] The server receives the reservation information, calls the APIs of the accommodations, transportation providers, and restaurants to send a reservation request, receives confirmation responses from each reservation provider, and generates confirmation of the reservation.

[1854] Step 9:

[1855] server

[1856] Confirmation of reservation is sent to the user's terminal.

[1857] input

[1858] Confirmation from the reservation destination

[1859] output

[1860] Confirmation of reservation sent to the user's device

[1861] Specific actions

[1862] After the server receives confirmation responses from each reservation destination, it collects information indicating that all reservations have been confirmed and sends this information to the user's terminal.

[1863] Step 10:

[1864] Terminal

[1865] Provides real-time information on schedules, transportation information, and tourist attractions while traveling.

[1866] input

[1867] Information requests from users, latest information from the server

[1868] output

[1869] Real-time schedules, transportation information, and tourist information provided to users

[1870] Specific actions

[1871] When the user requests additional information during their trip, the terminal communicates with the server to obtain the latest tourist information and transportation guides, which are then displayed to the user in real time.

[1872] (Application example 1)

[1873] 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."

[1874] With conventional travel support systems, foreign tourists often have difficulty understanding Japan's food culture and choosing restaurants. Language barriers and differences in food preferences are particularly significant hurdles, resulting in unsatisfactory dining experiences during their trips. Furthermore, there is a lack of real-time information provided during travel and meal suggestions tailored to individual preferences. To solve this issue, a system with support functions specialized for individual dining experiences is needed, in addition to improving the accuracy of travel plan generation.

[1875] 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.

[1876] In this invention, the server includes first means including a generative model for generating a travel plan based on past travel history and individual travel preferences, second means for making reservations for accommodations, transportation, restaurants, etc. according to the travel plan, third means for displaying the travel plan and reservation status on the user's terminal, fourth means for centrally managing the travel plan proposals and reservation procedures, fifth means for recommending optimal restaurants and delivery services based on the food preferences, sixth means for making reservations for the restaurants and delivery services, seventh means for visually displaying menu information for the restaurants and delivery services and translating it into a foreign language, and eighth means for providing restaurant and delivery status information in real time during the trip. This enables foreign tourists to overcome food culture and language barriers and enjoy travel and dining experiences that suit their individual preferences.

[1877] "Travel plan generation" refers to creating a plan that combines tourist attractions, accommodations, transportation, restaurants, etc. that are optimal for a traveler based on their past travel history and individual travel preferences.

[1878] "Reservation procedure" refers to the series of operations and processes required for a traveler to make a reservation for the accommodation, transportation, restaurant, etc. of their choice.

[1879] A "generative AI model" is an artificial intelligence model that uses a user's profile data and data on past travelers of the same nationality to generate optimal travel plans and meal suggestions.

[1880] "Terminal" refers to an electronic device such as a smartphone or tablet used by a user, and in this system is used to display travel plans and perform reservation procedures.

[1881] A "database" refers to a system or server that collects and stores traveler data, tourist information, accommodation information, restaurant information, etc.

[1882] "Restaurant recommendations" means suggesting restaurants that are considered best suited to a traveler based on the traveler's food preferences and past data.

[1883] "Delivery service" refers to a service that delivers meals to a traveler's home or accommodation as a dining option, and this system recommends services that match the user's preferences.

[1884] "Menu translation" refers to the function of converting restaurant menus into a traveler's native language so that foreign travelers can enjoy local restaurants without having to face a language barrier.

[1885] "Real-time information provision" means instantly obtaining the latest restaurant information and reservation status and providing it to travelers while they are traveling.

[1886] "Centralized management" means integrating and managing all functions, from generating travel plans to booking procedures and providing information.

[1887] This invention is a system for optimizing travel and dining experiences in Japan for foreign tourists. It uses a generative AI model to generate travel plans and dining suggestions based on past travel history and individual travel preferences. The system consists of three main components: a server, a terminal, and a user.

[1888] 1. Initial settings and profile entry

[1889] Terminal

[1890] When a user launches the app, a start screen is displayed. The user then moves to a screen where they can enter their profile, including their name, nationality, travel history, food preferences (e.g., they like spicy food), etc. The entered profile data is then sent to the server.

[1891] 2. Data analysis and plan generation

[1892] server

[1893] The server receives the profile data sent from the device. It then retrieves past traveler data, sightseeing information, accommodation information, and restaurant information from the database. Based on this information, the generative AI model generates the optimal travel and dining plans for the user. The generated plans include tourist attractions, accommodation, transportation, and dining options (restaurants and delivery services). For example, if the user is of a particular nationality and likes spicy food, the server analyzes the database to find popular spots and dining trends visited by past travelers of the same nationality, and proposes a plan tailored to the user.

[1894] 3. Presenting your travel and meal plans

[1895] server

[1896] The generated optimal travel and meal plans are sent to the terminal.

[1897] Terminal

[1898] The device displays the received plans in a visually easy-to-understand manner to the user. Each plan is accompanied by a recommendation reason. The user can select the plan that most interests them from multiple proposals. Menu information is also translated into foreign languages, and cultural background information is provided.

[1899] 4. Reservation Procedure

[1900] User

[1901] The reservation is then made based on the travel and meal plans selected by the user.

[1902] Terminal

[1903] The reservation process screen is displayed, providing a form for entering the necessary information (e.g., credit card information, additional requests, etc.), which is then sent to the server.

[1904] server

[1905] The server receives the reservation information sent from the device and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant, delivery service). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the device.

[1906] 5. Travel support

[1907] Terminal

[1908] Once the trip begins, the device will be enabled with a feature that provides real-time updates on the trip schedule, transportation information, and dining information. When the user requests additional information, the device will communicate with the server to retrieve and display the latest information. Specifically, restaurant menus and delivery status will be updated in real time.

[1909] Specific examples

[1910] For example, an American traveler opens the app and enters their profile. The entered data is sent to the server, which generates a travel plan based on the traveler's past travel history and food preferences, including historical tourist spots in Kyoto, spicy restaurants in Osaka, and traditional inns for accommodation. This plan, along with translated menu information, is sent to the traveler's device, and the traveler selects the plan and proceeds with the reservation process. This system enables travelers to overcome food culture and language barriers and enjoy individually optimized travel and dining experiences in Japan.

[1911] Prompt Sentence Examples

[1912] System prompt: "Generate suggestions for restaurants and delivery services in Japan, taking into account the traveler's name, nationality, and food preferences."

[1913] User prompt: "My name is John, I'm from America, I like spicy food, and I'm traveling to Kyoto."

[1914] The hardware and software used are a smartphone, Python, Django (backend), React Native (mobile app), and GPT-4 API (generative AI model).

[1915] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1916] Step 1:

[1917] The device starts up and the user moves to the profile input screen. The user inputs their name, nationality, past travel history, travel preferences (e.g., they like historical tourist spots, they like spicy food), etc. The input data is sent from the device to the server. The input includes profile data (name, nationality, past travel history, preferences), and is sent to the server as JSON format data.

[1918] Step 2:

[1919] The server receives the profile data sent from the device. It then retrieves past traveler data, sightseeing information, accommodation information, restaurant information, etc. from the database. Using this information, the generative AI model generates the optimal travel and meal plans for the user. The past traveler data and the input profile data are used for data analysis. The generative AI model is applied, and the generated travel and meal plans are output.

[1920] Step 3:

[1921] The server sends the generated travel and meal plans to the device. The device then displays the received plans in a visually easy-to-understand format. The display also includes detailed information about each plan (tourist attractions, accommodations, transportation options, and restaurants) and the reasons for the recommendation. The user can select the plan that interests them most from multiple suggestions. The input includes the generated plan data, and the output is the plan information displayed on the user's device.

[1922] Step 4:

[1923] The booking process is carried out based on the travel and meal plans selected by the user.

[1924] Step 5:

[1925] The terminal displays the reservation screen and provides a form for the user to enter the necessary information (e.g., credit card information, additional requests, etc.). The entered reservation information is sent from the terminal to the server. The input includes reservation information (lodging, restaurant, transportation details, etc.) and is sent to the server.

[1926] Step 6:

[1927] The server receives the reservation information sent from the device and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant, delivery service). It receives confirmation responses from each reservation destination and sends the confirmed reservation information to the device. The server makes an API call to each reservation destination, receives confirmation responses, and sends them to the device.

[1928] Step 7:

[1929] The device enables real-time travel schedule, transportation information, and dining updates as the trip begins. This includes translated restaurant menu information and real-time updates on delivery status. When the user requests additional information, the device communicates with the server to retrieve and display the latest information. The input includes the user's requested information, and the output is the latest updated information.

[1930] 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.

[1931] The present invention is a system for optimizing Japan travel for foreign tourists, and generates travel plans by combining a generative AI model and an emotion engine. Specific embodiments of the system are described below.

[1932] The system consists of three main components: the server, the terminal, and the user.

[1933] 1. Initial settings and profile entry

[1934] Terminal

[1935] When a user launches the app, a start screen is displayed. The user selects the option to enter a profile, and moves to the profile entry screen. The user enters their name, nationality, past travel history, travel preferences (e.g., they like historical tourist sites, they like spicy food), etc. The entered profile data is then sent to the server.

[1936] 2. Data analysis and plan generation

[1937] server

[1938] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates an optimal travel plan for the user. Furthermore, an emotion engine for analyzing the user's emotions collects the profile data and real-time emotion data. This emotion data is also input into the generative AI model, which generates an optimized travel plan based on the user's emotions. The generated travel plan includes tourist attractions, accommodations, transportation, and restaurants.

[1939] 3. Presenting and adjusting travel plans

[1940] server

[1941] The generated optimal travel plan is sent to the terminal.

[1942] Terminal

[1943] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan also displays the reason for its recommendation. While the user is reviewing the plan, the emotion engine analyzes facial expressions and voice tone to evaluate the user's emotions in real time. If the user is dissatisfied with the presented plan, this information is sent to the server, and a new plan is generated.

[1944] 4. Reservation Procedure

[1945] User

[1946] The user selects a travel plan and proceeds with the booking.

[1947] Terminal

[1948] A form is provided for entering the necessary information (e.g. credit card information, additional requests, etc.) on the reservation process screen. This information is sent to the server.

[1949] server

[1950] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[1951] 5. Travel support and emotional assessment

[1952] Terminal

[1953] Once the trip begins, the device will be enabled with real-time information on the trip schedule, transportation information, and the latest tourist information. In addition, an emotion engine will continuously analyze the user's emotions during the trip and evaluate their satisfaction with the travel plan.

[1954] User

[1955] The emotion engine continuously analyzes the user's emotions during the trip, and if there are any particularly dissatisfied or stressful moments, the user will receive real-time support and the plan will be adjusted as necessary.

[1956] As a concrete example, John, an American, opens the app and enters his profile. The entered data is sent to the server, which then generates an optimal travel plan based on John's past travel history and preferences. When John confirms the plan, the emotion engine analyzes his facial expressions and voice tone to evaluate in real time whether he is satisfied with the presented plan. If dissatisfaction is detected, the server generates and re-proposes a new plan. Real-time support during the trip also utilizes emotion data to optimize John's travel experience.

[1957] Through these steps, the present invention is a system that enables foreign tourists to enjoy their trip to Japan in a more individually optimized way. The introduction of an emotion engine makes it possible to generate and adjust travel plans that take into account the user's emotional state, which is expected to improve the travel experience.

[1958] The processing flow will be explained below.

[1959] Step 1:

[1960] Terminal

[1961] Launches the app and displays the welcome screen, offering the user profile options.

[1962] Step 2:

[1963] Terminal

[1964] When the user selects the profile entry option, a profile entry screen is displayed, with input fields including name, nationality, past travel history, and travel preferences (e.g., preference for historical sites, preference for spicy food).

[1965] Step 3:

[1966] User

[1967] Enter your profile data into the form and press the "Submit" button.

[1968] Step 4:

[1969] Terminal

[1970] The entered profile data is sent to the server.

[1971] Step 5:

[1972] server

[1973] It receives profile data sent from the device and retrieves past traveler data, tourist information for each region, and restaurant data from the database.

[1974] Step 6:

[1975] server

[1976] Based on the acquired information and profile data, the AI ​​model begins analysis and generates the optimal travel plan for the user.

[1977] Step 7:

[1978] server

[1979] In addition, the emotion engine collects profile data and real-time emotion data, which is then input into a generative AI model to generate an optimized travel plan based on the user's emotions.

[1980] Step 8:

[1981] server

[1982] The generated travel plan is sent to the user's terminal.

[1983] Step 9:

[1984] Terminal

[1985] The received travel plans are displayed to the user in a visually easy-to-understand manner, and each plan is accompanied by the reason for its recommendation.

[1986] Step 10:

[1987] Terminal

[1988] While the user is reviewing the plan, the emotion engine analyzes facial expressions and vocal tone to assess the user's emotions in real time.

[1989] Step 11:

[1990] Terminal

[1991] If the user is not satisfied with the offered plan, he / she sends that information to the server.

[1992] Step 12:

[1993] server

[1994] The server receives the dissatisfied emotion data and starts generating a new plan, which is then sent to the device again.

[1995] Step 13:

[1996] User

[1997] Plan proposals and emotional evaluations are repeated until the user is satisfied with the proposed plan.

[1998] Step 14:

[1999] User

[2000] Select the plan that satisfies you and press the reservation button.

[2001] Step 15:

[2002] Terminal

[2003] The reservation process screen will appear, providing a form for you to enter the necessary information (e.g., credit card details, additional requests).

[2004] Step 16:

[2005] User

[2006] Enter the information required for the reservation procedure and press the "Submit" button.

[2007] Step 17:

[2008] Terminal

[2009] The reservation information entered by the user is sent to the server.

[2010] Step 18:

[2011] server

[2012] Reservation information sent from the terminal is received and a reservation request is sent to each reservation destination (accommodation, transportation, restaurant, etc.).

[2013] Step 19:

[2014] server

[2015] A confirmation response is received from each reservation destination, and reservation confirmation information is sent to the terminal.

[2016] Step 20:

[2017] Terminal

[2018] Confirmation of reservation information is displayed to the user.

[2019] Step 21:

[2020] Terminal

[2021] On the day of your trip, enable real-time travel support features, providing you with the latest information on your trip schedule, transportation, and tourist attractions.

[2022] Step 22:

[2023] Terminal

[2024] The emotion engine continuously analyzes the user's emotions during the trip and evaluates their satisfaction with the travel plan.

[2025] Step 23:

[2026] Terminal

[2027] If users require additional assistance during their trip, they will receive assistance in real time and their plan will be adjusted as needed.

[2028] Step 24:

[2029] User

[2030] After completing the trip, users access the feedback screen provided by the device and enter their satisfaction and impressions of the trip.

[2031] Step 25:

[2032] Terminal

[2033] Send the user's feedback data to the server.

[2034] Step 26:

[2035] server

[2036] Feedback data is received and stored in a database for use in generating next travel plans.

[2037] Example 2

[2038] 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."

[2039] Conventional travel plan generation systems have difficulty providing optimal travel plans because they are unable to reflect users' individual preferences and real-time emotional states. Furthermore, they lack real-time support based on users' emotional evaluations during the trip. This leads to lower user satisfaction and a poor travel experience.

[2040] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[2041] In this invention, the server includes means for receiving profile data entered by the user and generating a travel plan based on the received profile data, means for utilizing a generative model and an emotion engine using the profile data and emotion data, and means for transmitting the generated travel plan to the user's terminal and for the emotion engine to analyze the user's emotions in real time. This makes it possible to provide an optimal travel plan that reflects the user's individual preferences and real-time emotional state. Furthermore, real-time support is provided during the trip, improving user satisfaction.

[2042] "Profile Data" refers to information entered by a user, such as name, nationality, past travel history, and travel preferences.

[2043] "Emotional data" refers to information about the user's emotional state obtained by analyzing the user's facial expressions and vocal tone.

[2044] "Generative model" refers to an algorithm or machine learning model that generates optimal travel plans based on profile data and sentiment data.

[2045] An "emotion engine" refers to a system that analyzes a user's facial expressions and vocal tone in real time and generates emotional data.

[2046] The term "travel plan" refers to a user's travel schedule, which mainly includes tourist spots, accommodations, transportation, restaurants, etc.

[2047] A "generative AI model" refers to an artificial intelligence model that uses technologies such as machine learning and deep learning to generate travel plans.

[2048] "Terminal" refers to a device such as a computer or smartphone that a user uses to input information or check travel plans.

[2049] "Server" refers to a computer system that receives user input data and processes the data using a generative model and emotion engine.

[2050] "Real-time support" refers to analyzing the user's emotional data while traveling and providing immediate assistance or adjusting plans if the user feels dissatisfied or stressed.

[2051] This invention is a system for optimizing Japan travel for foreign tourists. This system generates and provides optimal travel plans using a generative AI model and emotion engine based on user-entered profile data and real-time acquired emotion data.

[2052] First, the user launches the application on their device and enters their profile data. This profile data includes their name, nationality, past travel history, and travel preferences (e.g., historical tourist spots, spicy food, etc.). An example of a prompt might be, "Please tell us your name, nationality, favorite tourist spots and dishes, and places you have visited in the past."

[2053] The device then sends the entered profile data to the server, which receives the profile data and stores it in a database that includes past traveler data, tourist information for each area, and restaurant information.

[2054] The server utilizes a generative AI model to generate an optimal travel plan based on the profile data and emotional data. This generative AI model uses machine learning and deep learning technologies, and takes the user's profile data and emotional data acquired in real time as input. In addition, the emotion engine collects the user's emotional data (facial expressions and vocal tone) and sends it to the server, allowing the generative AI model to generate a travel plan that reflects the user's emotional state.

[2055] The generated travel plan is a comprehensive schedule including sightseeing spots, accommodations, transportation, restaurants, etc. This plan is sent from the server to the device and displayed visually to the user on the device. While the user is checking the plan, the device uses an emotion engine to analyze the user's facial expressions and voice tone and evaluate the user's emotions in real time.

[2056] If the user is not satisfied with the proposed plan, the information is sent to the server based on the user's emotional evaluation. The server then uses the generative AI model to generate a new travel plan and re-propose it to the user. This provides the user with the most suitable travel plan.

[2057] Once the travel plan has been selected, the user proceeds with the reservation process through the terminal. The user enters the necessary information, such as credit card information and any additional requests, on the reservation process screen. The terminal sends this information to the server, which then sends a reservation request to each reservation destination (accommodation, transportation, restaurant). As soon as a reservation confirmation response is received, the server sends that information back to the terminal and notifies the user of the reservation confirmation information.

[2058] During the trip, the device provides real-time travel schedules, transportation information, and the latest tourist information. The emotion engine continuously analyzes the user's emotions during the trip and provides support for situations where the user feels particularly dissatisfied or stressed. The server receives the emotion data in real time and adjusts the travel plan as needed.

[2059] In this way, the system can provide an optimal travel plan that reflects the user's individual preferences and real-time emotional state, improving the user's travel experience.

[2060] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2061] Step 1:

[2062] Profile Input

[2063] A user launches the application and enters profile data, such as name, nationality, past travel history, and travel preferences (e.g., historical sites, spicy food). The entered profile data provides the basis for identifying the user's travel preferences.

[2064] Input: Name, nationality, past travel history, travel preferences

[2065] Output: Profile data

[2066] Step 2:

[2067] Sending data to the server

[2068] The device sends the profile data entered by the user to the server, where it is securely transmitted and prepared for processing.

[2069] Input: Profile data

[2070] Output: Profile data sent to the server

[2071] Step 3:

[2072] Saving to a database

[2073] The server receives the profile data and stores it in a database that is then used by the generative AI model. The database already contains data on past travelers, tourist information, and restaurant information.

[2074] Input: Profile data sent to the server

[2075] Output: Profile data stored in a database

[2076] Step 4:

[2077] Plan Generation

[2078] The server retrieves past traveler data, tourist information for each region, and restaurant data from the database, and combines this with profile data to generate a travel plan using a generative AI model. Emotional data is also used during this process. The generative AI model analyzes the data and selects the best tourist spots, accommodations, transportation, and restaurants for the user.

[2079] Input: Profile data, past traveller data, tourist information, restaurant data, emotional data

[2080] Output: Generated itinerary

[2081] Step 5:

[2082] Submit your travel plans

[2083] The server sends the generated travel plan to the terminal, which includes details of tourist spots, accommodations, transportation, and restaurants.

[2084] Input: Generated itinerary

[2085] Output: Travel plan sent to device

[2086] Step 6:

[2087] Travel plan display and sentiment analysis

[2088] The device displays the received travel plan to the user in a visually easy-to-understand manner. While the user is checking the plan, the emotion engine analyzes facial expressions and voice tone to evaluate the user's emotions in real time. The evaluation results are displayed on the device.

[2089] Input: Travel plan sent to the device

[2090] Output: A travel plan that can be viewed by the user, and real-time sentiment evaluation results

[2091] Step 7:

[2092] Plan Adjustment

[2093] If the user is dissatisfied with the travel plan, the device sends that information to the server, which uses the generative AI model based on the emotion evaluation results to generate a new plan and sends it back to the device.

[2094] Input: User's emotion evaluation results, dissatisfaction information

[2095] Output: New itinerary

[2096] Step 8:

[2097] Reservation procedure

[2098] The user then proceeds with the reservation process based on the travel plan they have finally decided on. The terminal provides a form for entering credit card information and any additional requests, and sends this information to the server. The server then sends the reservation information to each reservation destination and receives a confirmation response.

[2099] Input: User's reservation information (credit card information, additional requests)

[2100] Output: Confirmed reservation information

[2101] Step 9:

[2102] Travel support and emotional assessment

[2103] The device provides real-time information on travel schedules, traffic information, and the latest tourist information. The emotion engine continuously analyzes the user's emotions and provides support if they feel dissatisfied or stressed. The server then takes appropriate action based on this information.

[2104] Input: Travel schedule, traffic information, emotional data

[2105] Output: Real-time information provision, emotional support

[2106] (Application example 2)

[2107] 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."

[2108] Conventional travel plan generation systems provide a uniform plan without considering the emotional state of the traveler, which means that the plan provided may not fully match the traveler's wishes. Furthermore, they have the problem of being unable to detect dissatisfaction or stress felt by the traveler in real time and quickly adjust the plan. This can lead to a decrease in traveler satisfaction and a loss of quality in the travel experience.

[2109] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[2110] In this invention, the server includes: means for including a generative model that generates a travel plan based on past travel history and individual travel preferences; means for making reservations for accommodations, transportation, restaurants, etc. according to the travel plan; means for displaying the travel plan and reservation status on the user's terminal; and means for analyzing the user's facial expressions and voice in real time using emotion analysis means and adjusting the travel plan based on the emotion information. This makes it possible to provide a personalized travel plan that takes into account the traveler's emotional state, and to analyze the traveler's emotions in real time during the trip and adjust the plan as needed.

[2111] "Past travel history" refers to records of tourist attractions and accommodations that a traveler has previously visited, the means of transportation and restaurants that they have used, etc.

[2112] "Individual travel preferences" are personal preferences such as the elements that a traveler particularly values ​​when traveling, activities that interest them, food preferences, and types of tourist attractions.

[2113] A "generative model" is an algorithm or program that uses artificial intelligence to automatically generate travel plans based on input data.

[2114] "Accommodation facilities" are facilities such as hotels, inns, and guesthouses where travelers can stay.

[2115] "Transportation" refers to the means of transportation that travelers use to get around, such as trains, buses, taxis, and airplanes.

[2116] "Eating and drinking establishments" are establishments that provide food and drink to travelers, such as restaurants, cafes, and izakayas.

[2117] The "reservation procedure" refers to the procedure by which travelers reserve services such as accommodation, transportation, and restaurants in advance.

[2118] "Display" means providing information visually on the user's terminal.

[2119] "Management" means overseeing the entire procedure and ensuring it proceeds efficiently.

[2120] "Emotion analysis means" is a technology that uses sensors such as cameras and microphones to analyze the user's facial expressions and voice and estimate the user's emotional state.

[2121] "Adjusting" means changing the contents of your travel plans to suit your circumstances and needs.

[2122] A "generative AI model" is a machine learning model that uses artificial intelligence to generate optimal travel plans based on input data.

[2123] This embodiment describes a system for optimizing Japan travel for foreign tourists in an autonomous vehicle. This system consists of three main components: a server, a terminal, and a user. The detailed operation of each component is described below.

[2124] 1. Initial settings and profile entry

[2125] Terminal

[2126] When a user gets into an autonomous vehicle, the tablet device inside the vehicle starts up. A start screen is displayed, and the user moves to a profile input screen. On the profile input screen, the user enters their name, nationality, past travel history, travel preferences (e.g., preference for historical tourist sites, preference for spicy food), etc. The entered profile data is sent to the server.

[2127] 2. Data analysis and plan generation

[2128] server

[2129] The server receives the profile data sent from the device. It then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database. Based on this information, the generative AI model generates the optimal travel plan for the user. The generated travel plan includes tourist destinations, accommodations, transportation, and restaurants.

[2130] The server also uses sentiment analysis to analyze users' emotions, collecting profile data and real-time emotional data, which is then input into a generative AI model to generate an optimized travel plan based on the user's emotions.

[2131] 3. Presenting and adjusting travel plans

[2132] server

[2133] The generated optimal travel plan is sent to the terminal.

[2134] Terminal

[2135] The device displays the received travel plans to the user in a visually easy-to-understand manner. Each plan also displays the reason for its recommendation. While the user is reviewing the plan, an emotion analysis means analyzes the user's facial expressions and voice tone to evaluate the user's emotions in real time. If the user is dissatisfied with the presented plan, that information is sent to the server, and the generation of a new plan is initiated.

[2136] 4. Reservation Procedure

[2137] User

[2138] The user selects a travel plan and proceeds with the booking.

[2139] Terminal

[2140] A form is provided for entering the necessary information (e.g. credit card information, additional requests, etc.) on the reservation process screen. This information is sent to the server.

[2141] server

[2142] The server receives the reservation information sent from the terminal and sends a reservation request to each reservation destination (e.g., accommodation, transportation, restaurant). It receives confirmation responses from each reservation destination and sends the reservation confirmation information to the terminal.

[2143] 5. Travel support and emotional assessment

[2144] Terminal

[2145] Once the trip begins, the device will be enabled with a function that provides real-time travel schedules, transportation information, and the latest information on tourist spots. In addition, a sentiment analysis tool will continuously analyze the user's emotions during the trip and evaluate their satisfaction with the travel plan.

[2146] User

[2147] During the trip, the emotion analysis tool continuously analyzes the user's emotions, and if there are any particularly dissatisfied or stressful moments, the user will receive real-time support and the plan will be adjusted as necessary.

[2148] Hardware and software used

[2149] Hardware: Tablet or display, camera, microphone inside the autonomous vehicle

[2150] Software: OpenAI GPT-3 (generative AI model), Microsoft Azure Face API (emotion analysis method)

[2151] Specific examples

[2152] For example, when a foreign tourist boards a self-driving vehicle and enters their profile on a tablet, the following prompt is used:

[2153] "Create the best itinerary for your tourists. Their preferences are historical sites and spicy food."

[2154] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2155] Step 1:

[2156] A user enters an autonomous vehicle and starts up the tablet device inside the vehicle. A start screen is displayed, and the user moves to a profile entry screen. Entry items include name, nationality, past travel history, and travel preferences. The entered profile data is sent to the server.

[2157] Input: Name, Nationality, Past Travel History, Travel Preferences.

[2158] Data processing: Convert the input data into JSON format and send it to the server.

[2159] Output: The profile data sent to the server.

[2160] Step 2:

[2161] The server receives the profile data sent from the device and then retrieves past traveler data, tourist information for each region, restaurant data, and other information from the database.

[2162] Input: Profile data.

[2163] Data processing: Using database queries to retrieve corresponding tourist data and tourist information.

[2164] Output: Traveler data, tourist information, restaurant data.

[2165] Step 3:

[2166] The generative AI model is launched and the profile data, acquired traveler data, and tourist information are input. The generative AI model generates the optimal travel plan based on this data.

[2167] Input: Profile data, traveller data, tourist information.

[2168] Data computation: Data input and generation processing for generative AI models.

[2169] Output: The generated itinerary.

[2170] Step 4:

[2171] The generated travel plans are sent from the server to the device, which then displays the plans to the user in a visually easy-to-understand manner, along with the reasons for recommending each plan.

[2172] Input: The generated itinerary.

[2173] Data processing: Format conversion and display processing of plan data.

[2174] Output: The itinerary displayed on the device.

[2175] Step 5:

[2176] While the user is checking their travel plans, the device's built-in camera and microphone analyze the user's facial expressions and voice in real time, and the emotion analysis means receives this information and estimates the user's emotional state.

[2177] Input: User's facial expressions and voice data.

[2178] Data Computing: Analysis of data collected by cameras and microphones.

[2179] Output: Estimated emotion data.

[2180] Step 6:

[2181] If the user is not satisfied with the proposed plan, the emotion data is sent to the server, which then starts generating a new plan.

[2182] Input: Emotion data.

[2183] Data computation: The process of evaluating and regenerating plans based on affective data.

[2184] Output: The newly generated itinerary.

[2185] Step 7:

[2186] The user then makes reservations for accommodations, transportation, restaurants, etc. according to the travel plan they have finally selected. The user then moves to the reservation procedure screen and enters the necessary information. This information is then sent to the server, which then sends a reservation request to each reservation destination.

[2187] Input: Selected travel plan, user's booking information.

[2188] Data processing: Sending reservation information and receiving confirmation responses.

[2189] Output: Confirmed reservation information.

[2190] 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.

[2191] 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.

[2192] 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.

[2193] 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.

[2194] 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.

[2195] 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.

[2196] 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).

[2197] 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.

[2198] 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."

[2199] 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.

[2200] 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).

[2201] 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.

[2202] 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.

[2203] 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.

[2204] 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.

[2205] 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.

[2206] 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.

[2207] 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.

[2208] 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.

[2209] 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 explana...

Claims

1. a first means including a generative model for generating a travel plan based on past travel history and individualized travel preferences; A second means for making reservations for accommodations, transportation, restaurants, etc. according to the travel plan; a third means for displaying the travel plan and reservation status on a user's terminal; a fourth means for centrally managing the proposal of the travel plan and the reservation procedure; A system including:

2. The system of claim 1, wherein the first means utilizes a generative AI model that generates optimal travel plans for individual travelers based on data on a specific nationality and past travelers of the same nationality.

3. The system of claim 1 , wherein the second means is a means for suggesting restaurants that match specific dining preferences based on the generative AI model and for processing reservations for those restaurants.

Images