system

Abstract

Provide a system. A means for accepting input of travel schedule and budget from a user; A means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan; A means of collecting information on tourist spots, restaurants, events, travel times, and transportation information included in each travel plan, means for displaying the generated itinerary; A means to generate a detailed schedule based on the user's selected plan, including subway and public transport information; means for displaying the detailed schedule; A means to make tentative reservations for flights, hotels, rental cars and local guides; means for notifying the user of the tentative reservation result; A system including:

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] In recent years, when planning a trip, users have had to manually collect data from many sources and combine it themselves. This process is time-consuming and inefficient. Furthermore, there are few systems that can handle everything from selecting travel destinations to creating specific schedules and managing reservations, which places a heavy burden on users. Furthermore, it is difficult to obtain local traffic and event information in real time, which can lead to incomplete trip plans. There is a need for a user-friendly, consistent travel planning support system that can easily solve these problems. [Means for solving the problem]

[0005] The present invention provides a means for accepting input of a travel itinerary and budget from a user, and a means for searching a database for multiple travel destination candidates that meet the input criteria and generating a travel plan. It also includes a means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan, and a means for displaying the generated travel plan. It also includes a means for generating a detailed schedule based on a plan selected by the user, including information on subways and public transportation, and a means for displaying the detailed schedule. It also includes a means for making tentative reservations for flights, hotels, rental cars, and local guides, and a means for notifying the user of the tentative reservation results. This allows users to efficiently and consistently plan and manage their travel plans. The user experience can be further improved by including a means for accepting cancellation requests and processing cancellations through each reservation system based on the request, and a means for displaying photo images corresponding to each plan when displaying the travel plan.

[0006] "User" refers to an individual or organization that uses the System to plan and book travel.

[0007] "Travel itinerary" refers to the start and end dates and times of the trip set by the user.

[0008] "Budget" refers to the amount of money a user plans to spend on a trip.

[0009] "Input Form" refers to the interface that a user uses to input travel dates and budget.

[0010] A "database" refers to data storage that accumulates information such as potential travel destinations, tourist spots, restaurants, and transportation information.

[0011] "Travel destination candidates" refer to travel destinations that may meet the user's requirements.

[0012] A "travel plan" refers to a specific plan that includes tourist attractions, places to eat, events, etc. based on a potential travel destination.

[0013] "Tourist spots" refer to places and facilities that are the destination of tourism at a travel destination.

[0014] "Dining" refers to restaurants, cafes, and other facilities that serve meals at travel destinations.

[0015] "Event" refers to shows, activities, cultural experiences, and other events held at the travel destination.

[0016] "Travel time" refers to the time required to visit a particular tourist spot, restaurant, event, etc.

[0017] "Transportation information" refers to information on how to use public transportation at your travel destination and route guidance.

[0018] A "schedule" refers to a detailed plan that lists places to visit, time periods, means of transportation, etc. based on a travel plan selected by the user.

[0019] "Subway" and "public transportation" refer to publicly available transportation such as trains and buses.

[0020] "Provisional Reservation" means a reservation for travel services that is temporarily secured before being finalized.

[0021] "Reservation system" refers to an online system for managing reservations for flights, hotels, rental cars, local guides, etc.

[0022] "Cancellation" refers to the procedure of canceling a tentative reservation that has already been made.

[0023] "Photo images" refers to image data that provides visual information such as travel plans and tourist spots. [Brief explanation of the drawings]

[0024] [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

[0025] 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.

[0026] First, the terms used in the following description will be explained.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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."

[0032] [First embodiment]

[0033] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0034] 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.

[0035] 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).

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0041] 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.

[0042] 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.

[0043] 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.

[0044] 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."

[0045] The present invention relates to a travel planning and reservation system. Specifically, it is a comprehensive system that accepts travel itinerary and budget inputs from a user, proposes multiple travel destination options based on the inputs, creates a detailed schedule, and even handles tentative reservations and cancellations. An embodiment of the system is described in detail below.

[0046] The first thing the user does is input the travel schedule (departure date and return date) and budget. To do this, an input form is displayed on the terminal. When the user completes the input and presses the send button, the data is sent to the server. The server receives this data and proceeds to the next process.

[0047] The server extracts multiple travel destination candidates that meet the conditions from the database based on the received travel dates and budget. For example, if a user inputs "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server will generate a list of domestic and international travel destinations that meet those conditions.

[0048] The server then creates a detailed travel plan for each destination, including tourist attractions, restaurants, events, travel times, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. Additionally, photos of each tourist attraction and restaurant are added to the plan.

[0049] The generated travel plan is sent to the device, where the user can select it. After the user selects a specific plan or spot, the selection data is sent back to the server, which then generates a detailed schedule based on the selected plan. This schedule includes the order of visits, a specific timeline, meal times and locations, and subway and public transportation information.

[0050] Next, if the user wishes to make a tentative reservation for a flight, hotel, rental car, local guide, etc., the request is sent again to the server. The server then connects with the various reservation destination systems to make the tentative reservation. The results of the tentative reservation are notified to the terminal. If the user wishes to cancel, the cancellation request is accepted in the same manner, and the server processes the cancellation through each reservation destination system.

[0051] For example, if a user selects the "Kyoto Plan" and wishes to visit Kinkaku-ji Temple and Gion, the server will create a specific schedule based on that. This schedule includes a detailed plan to visit Kinkaku-ji Temple in the morning and have dinner in Gion in the afternoon. Transportation information is also provided, allowing the user to enjoy sightseeing efficiently.

[0052] This invention allows users to efficiently carry out a series of processes from planning to execution of a trip, thereby improving the quality of the trip. By linking the server and terminals and automating many steps, the burden on the user can be significantly reduced.

[0053] The processing flow will be explained below.

[0054] Step 1:

[0055] Terminal: Displays the initial screen for creating a travel plan and presents the user with a form to enter the travel dates (departure date and return date) and budget.

[0056] Step 2:

[0057] User: Fills in the input form with departure date, return date, and budget, and presses the "Submit" button.

[0058] Step 3:

[0059] Terminal: Sends the entered data (departure date, return date, budget) to the server.

[0060] Step 4:

[0061] Server: Receives the travel itinerary and budget data entered by the user.

[0062] Step 5:

[0063] Server: Based on the input data, the server searches the database for multiple travel destination candidates that match the conditions and extracts the results.

[0064] Step 6:

[0065] Server: For each potential travel destination, collect the following information and generate a travel plan:

[0066] Tourist attractions

[0067] Dining

[0068] event

[0069] Travel time

[0070] Traffic information

[0071] Step 7:

[0072] Server: Sends the generated travel plan and corresponding photo images to the device.

[0073] Step 8:

[0074] Terminal: Displays a list of travel plans suggested to the user, along with photo images corresponding to each plan.

[0075] Step 9:

[0076] User: Select the places they want to go or the events they want to attend from the proposed plans and press the "Decide" button.

[0077] Step 10:

[0078] Terminal: Sends the user's selection to the server.

[0079] Step 11:

[0080] Server: Generates a detailed schedule based on user selections. This schedule includes:

[0081] Order of places to visit

[0082] Timeline

[0083] Meal times and places

[0084] Subway and public transport information

[0085] Step 12:

[0086] Server: Sends the generated detailed schedule to the terminal.

[0087] Step 13:

[0088] Terminal: Displays the completed detailed schedule to the user.

[0089] Step 14:

[0090] User: Enter tentative reservations for desired flights, hotels, rental cars, local guides, etc. and press the "Book" button.

[0091] Step 15:

[0092] Terminal: Sends tentative reservation request data to the server.

[0093] Step 16:

[0094] Server: Calls the API of each reservation system and executes the tentative reservation.

[0095] Step 17:

[0096] Server: Checks whether the tentative reservation is complete or full, and sends the result to the terminal.

[0097] Step 18:

[0098] Terminal: Notifies the user of the tentative reservation result.

[0099] Step 19:

[0100] User: To cancel a tentative reservation, enter the details and press the "Cancel" button.

[0101] Step 20:

[0102] Terminal: Sends a cancellation request to the server.

[0103] Step 21:

[0104] Server: Calls the API of each reservation system and executes the cancellation process.

[0105] Step 22:

[0106] Server: Sends the cancellation result to the device.

[0107] Step 23:

[0108] Terminal: Notify the user of the cancellation result.

[0109] The above are the specific processing steps of the system according to the present invention, which allows users to easily create travel plans that meet their requirements and smoothly make or cancel reservations as needed.

[0110] Example 1

[0111] 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."

[0112] In conventional travel planning systems, it was difficult for users to find suitable travel destinations after entering their travel dates and budget, and creating detailed schedules required a lot of manual work, making it difficult to plan efficiently.Furthermore, there were issues with the burden on users when displaying travel plans, making tentative reservations, and canceling reservations.

[0113] 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.

[0114] In this invention, the server includes means for accepting input of travel itinerary and budget from a user, means for searching a database for multiple travel destination candidates that meet the input conditions and generating a travel plan based on the input, means for collecting information on tourist spots, restaurants, events, and travel times and transportation included in each travel plan from external data sources, means for displaying the generated travel plan on a terminal, means for generating a detailed schedule based on a plan selected by the user and including information on public transportation, means for displaying the detailed schedule on the terminal, means for making provisional reservations for airplanes, accommodations, cars, and local guides, and means for notifying the user of the provisional reservation results. This makes it possible to automate the entire process from planning to booking, execution, and cancellation of a trip, significantly reducing the burden on the user.

[0115] "Travel itinerary" refers to the start and end dates of a trip planned by a user.

[0116] "Budget" refers to the total amount of money a user can spend on a trip.

[0117] "Travel destination candidates" refers to a list of travel destinations that may fit the user's inputted dates and budget.

[0118] A "database" is a software system that organizes and stores information in an organized manner, allowing it to be searched and retrieved efficiently.

[0119] A "travel plan" is a plan that summarizes specific activities and places to visit at a travel destination.

[0120] "Tourist attractions" are famous places and popular locations that are recommended for travel.

[0121] A "restaurant" is a place or restaurant where you can eat while traveling.

[0122] An "event" is an event or activity held at a travel destination.

[0123] "Travel time" refers to the time it takes to travel between each leg of a trip.

[0124] "Transportation information" refers to data on public transportation operation information and means of transportation at the travel destination.

[0125] A "terminal" is a device such as a computer or smartphone that can be directly operated by a user.

[0126] A "detailed schedule" is a more specific itinerary created based on the travel plan selected by the user.

[0127] "Public transportation" refers to means of transportation available to the general public, such as buses, subways, and trains.

[0128] "Aircraft" refers to the aircraft used for travel.

[0129] "Accommodation" refers to facilities such as hotels and guesthouses where you stay while traveling.

[0130] "Automobile" refers to a vehicle such as a rental car used to travel around a travel destination.

[0131] A "local guide" is a service provider who provides tourist information at travel destinations.

[0132] A "tentative reservation" is a reservation that is temporarily held before the final reservation is confirmed.

[0133] A "cancellation request" is a request sent to the server to cancel a reservation made by a user.

[0134] MODE FOR CARRYING OUT THE INVENTION

[0135] This invention relates to a travel planning and reservation system that allows users to input their travel dates and budget, and then proposes multiple travel destination options based on the input, creating a detailed schedule. This system operates in conjunction with a server and terminals, allowing users to efficiently plan and reserve their trips.

[0136] Overall system overview

[0137] First, the user enters the travel itinerary (departure date and return date) and budget on the terminal. To do this, an input form is displayed on the terminal. Specifically, the date is designed to be entered in a calendar format and the budget in a numerical input format using an HTML form and JavaScript (registered trademark). When the user has completed the input and pressed the send button, the data is sent to the server via the HTTPS protocol.

[0138] Receiving and analyzing data

[0139] The server searches a database (e.g., MySQL (registered trademark), PostgreSQL) for multiple travel destination candidates that match the conditions based on the received travel dates and budget. For example, if a user inputs "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server extracts domestic and international travel destinations that fit the conditions. This is done using an SQL query.

[0140] Generate a travel plan

[0141] The server then creates a detailed travel plan for each destination. This plan includes tourist attractions, restaurants, events, travel times, and transportation information. Additional information is obtained from external data sources (e.g., Google® Maps API, TriPad® visor API). For example, a Kyoto plan might include a sightseeing route that includes visiting Kinkaku-ji Temple, dining in Gion, and strolling along the Kamo River. Photo images of each tourist attraction and restaurant are also obtained from the API and added to the plan.

[0142] View travel plans

[0143] The generated itinerary is then sent back to the device, where the user can view and select it. The itinerary is displayed using a responsive design using HTML and CSS, and detailed information is displayed when a specific itinerary is clicked.

[0144] Generate and view detailed schedules

[0145] After the user selects a specific plan or spot, the selection data is sent back to the server, which then generates a detailed schedule based on the selected plan. This schedule includes the order of visits, a specific timeline, meal times and locations, and public transportation information. This information is obtained in real time using Google Maps APIs and other tools. The generated schedule is then displayed on the user's device using HTML and JavaScript.

[0146] Tentative reservation and cancellation processing

[0147] If the user wishes to make a tentative reservation for a flight, hotel, rental car, local guide, etc., the request is sent again to the server. The server then connects with the various reservation destination systems (e.g., Amadeus API, Booking.com API) to make the tentative reservation. The results of the tentative reservation are notified to the terminal. If the user wishes to cancel, the server will accept the cancellation request using the same procedure and process the cancellation through each reservation destination system.

[0148] Specific examples and prompts for the generative AI model

[0149] For example, if a user selects the "Kyoto Plan" and wishes to visit Kinkaku-ji Temple and Gion, the server will create a specific schedule based on that. This schedule includes a detailed plan to visit Kinkaku-ji Temple in the morning and have dinner in Gion in the afternoon. Transportation information is also provided, allowing the user to enjoy sightseeing efficiently.

[0150] An example prompt for a generative AI model might look like this:

[0151] "Describe an extension to a travel planning and reservation system that suggests the best travel destinations based on the user's dates and budget, creates detailed itineraries, and allows for tentative bookings and cancellations."

[0152] As a result, the present invention provides consistent support from travel planning to booking and execution, reducing the burden on users and providing a high-quality travel experience.

[0153] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0154] Step 1:

[0155] The user enters the travel dates and budget. To do this, the device's browser displays an input form using HTML and JavaScript, and the user enters the departure date, return date, and budget in each input field. The input data is "Departure on December 1, 2023, return on December 5, 2023, budget 100,000 yen."

[0156] Step 2:

[0157] The input data is sent to the server. When the user clicks the send button, the entered itinerary and budget are sent from the terminal to the server via the HTTPS protocol. The server temporarily stores the received data. The input is the user's travel itinerary and budget data, and the output is the data received by the server.

[0158] Step 3:

[0159] The server extracts potential travel destinations. Based on the received travel itinerary and budget, the server executes an SQL query against a database (e.g., MySQL, PostgreSQL) to retrieve multiple potential travel destinations that match the conditions. For example, based on "December 1, 2023 to December 5, 2023, budget of 100,000 yen," it extracts "Kyoto, Tokyo, and Okinawa." The input is the user's itinerary and budget data, and the output is a list of potential travel destinations that match the conditions.

[0160] Step 4:

[0161] The server creates a detailed travel plan. For each destination, it collects information such as tourist spots, restaurants, events, travel time, and transportation information. Google Maps API and TripAdvisor API are used to collect the information. For example, a Kyoto plan will be created that includes "visiting Kinkaku-ji Temple, dining in Gion, and strolling along the Kamo River." The input is a list of potential travel destinations, and the output is a detailed travel plan for each destination.

[0162] Step 5:

[0163] The generated itinerary is sent to the terminal. The server delivers each generated itinerary to the terminal and displays it in a list on the terminal's browser. The user confirms each plan through the user interface. The input is a detailed itinerary, and the output is a list of itineraries displayed on the terminal.

[0164] Step 6:

[0165] The user selects a travel plan. The user selects the desired plan (e.g., Kyoto plan) from the travel plans displayed on the device screen and selects specific destinations (e.g., Kinkaku-ji Temple, Gion). The input is the travel plan selection data, and the output is the details of the plan selected by the user.

[0166] Step 7:

[0167] The selected data is sent to the server. The data selected by the user is sent back to the server from the terminal. The input is the travel plan data selected by the user, and the output is the selected data received by the server.

[0168] Step 8:

[0169] The server generates a detailed schedule. The server generates a specific action plan based on the selected data. It uses the Google Maps API to calculate real-time traffic information and travel time, and creates a specific timeline. For example, a schedule such as "Visit Kinkaku-ji Temple at 9:00, have dinner in Gion at 13:00" is generated. The input is the user's selected data, and the output is a detailed schedule.

[0170] Step 9:

[0171] The user requests a tentative reservation or cancellation. If the user checks the schedule and wishes to make a tentative reservation for a flight, hotel, rental car, or local guide, they select the appropriate service on the terminal and submit the request. Similarly, a cancellation request can also be submitted. The input is the user's tentative reservation request or cancellation request, and the output is the request received by the server.

[0172] Step 10:

[0173] The server processes tentative reservations and cancellations. Based on the received request, the server calls the APIs of various services (e.g., Amadeus API, Booking.com API) to make tentative reservations or cancellations. If the tentative reservation is successful, a reservation ID is generated and notified to the terminal. A cancellation is also processed in the same way, and the result is notified. The input is the user's tentative reservation or cancellation request, and the output is the tentative reservation or cancellation result.

[0174] (Application example 1)

[0175] 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."

[0176] Existing travel planning systems suggest travel destinations and create detailed itineraries, but they lack content related to the destinations. This makes it difficult for users to visualize their travel plans. Furthermore, the lack of a mechanism for automatically generating content related to the destinations limits the user experience.

[0177] 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.

[0178] In this invention, the server includes means for accepting input of travel itinerary and budget from a user, means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan, means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan, means for displaying the generated travel plan, means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation, means for displaying the detailed schedule, means for making provisional reservations for flights, hotels, rental cars, and local guides, means for notifying the user of the provisional reservation results, and means for generating content related to the travel destination using a generative AI model and providing the content to the user. This allows the user to create a detailed travel plan while checking specific content related to the travel plan.

[0179] "Means for accepting input of travel itinerary and budget from user" is a function that provides an interface for users to input travel itinerary (departure date and return date) and budget, and acquires the input data.

[0180] "Means for searching a database for multiple travel destination options and generating a travel plan" refers to a function that retrieves travel destination options from a database based on user input data and creates a suggested travel plan based on those options.

[0181] "Means of collecting tourist attractions, restaurants, events, and travel time and transportation information" is a function that collects information on tourist attractions, restaurants, events, etc. at each travel destination, as well as details of the time required and transportation methods.

[0182] The "means for displaying the generated itinerary" is a function that uses the device screen to visually present the generated itinerary to the user.

[0183] "A means of generating detailed schedules and including subway and public transport information" refers to a function that creates a specific visit order and timeline based on the user's selected travel plan and incorporates public transport information into it.

[0184] The "means for displaying the detailed schedule" is a function that provides an interface for displaying the created detailed schedule on the user's device.

[0185] "Means for making provisional reservations for flights, hotels, rental cars, and local guides" is a function that allows users to temporarily reserve services such as desired flights, accommodations, rental cars, and local guides.

[0186] The "means for notifying the user of the provisional reservation result" is a system or function for notifying the user's device of the provisional reservation result.

[0187] "Means for generating content related to travel destinations using a generative AI model and providing said content to users" refers to a function that automatically creates information such as videos, photos, and blog articles related to the user's travel destinations using a generative AI model and delivers them to the user.

[0188] "Means for accepting a cancellation request and processing the cancellation based on the request through each reservation destination system" is a function that receives a user's cancellation request and cancels the reservation in cooperation with each reservation destination system accordingly.

[0189] "Means for displaying photographic images corresponding to each plan" refers to a function that simultaneously displays images of relevant tourist spots, events, etc. when displaying a travel plan.

[0190] This invention relates to a travel planning and booking system that allows users to input their travel dates and budget, and based on that data, suggests optimal travel destination options, creates detailed schedules, and provides destination-related content. The system is implemented using the following hardware and software:

[0191] The server provides a means for accepting input of travel itineraries and budgets from users. Users input the itineraries and budgets via devices such as smartphones or PCs and send the data to the server.

[0192] The server then uses this data to search for multiple travel destinations that fit the criteria in the database. The server then collects information on tourist attractions, restaurants, events, travel times, and transportation information at the destination, and generates a travel plan. The collected data is processed using programs such as Python and SQL.

[0193] The generated travel plan is displayed on the user's device. The user can select the desired plan from the multiple plans generated. Based on the selected plan, the server creates a detailed schedule. This schedule includes the order in which tourist spots should be visited, a specific timeline, meal times and locations, and information on subways and public transportation.

[0194] The server further automatically generates content related to the travel destination using the generative AI model. The generated content is provided to the user as videos, blog articles, photo albums, etc. related to the travel destination. For this purpose, a generative AI model library such as ai_content_generator is used.

[0195] If the user wishes, tentative reservations are made for flights, hotels, rental cars, and local guides. The tentative reservation results are notified to the user's device. If a cancellation request is received, the server connects with the systems of each reservation destination and processes the cancellation of the reservation.

[0196] As a specific example, if a user inputs a travel itinerary from "2023-12-01" to "2023-12-05" and a budget of "100,000 yen," the server will suggest travel destinations (e.g., Kyoto) that fit the criteria. The detailed itinerary will include a visit to Kinkaku-ji Temple, meals in Gion, and information on travel time and transportation between tourist spots. Furthermore, related content (such as a video introducing the "Four Seasons of Kyoto" and a blog post about a visit to Gion) will be automatically generated and provided to the user using a generative AI model.

[0197] This system can improve the user experience by making it easier for users to plan specific trips and providing rich information about travel destinations.

[0198] Prompt Sentence Examples

[0199] {

[0200] "departure_date": "2023-12-01",

[0201] "return_date": "2023-12-05",

[0202] "budget": 100000

[0203] }

[0204] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0205] Step 1:

[0206] The user inputs and submits the travel schedule and budget using a device such as a smartphone or a personal computer.

[0207] Input: Travel dates (departure date and return date), budget

[0208] Output: User input data sent to the server

[0209] Specific operation: The user fills in the form on the terminal with the schedule and budget, then presses the submit button. The terminal then sends this data to the server.

[0210] Step 2:

[0211] Based on the data input by the user received by the server, a database is searched for multiple travel destination candidates that meet the conditions.

[0212] Input: User input data (date and budget)

[0213] Output: A list of travel destinations that match the criteria

[0214] Specific operation: The server executes an SQL query to retrieve travel destination information that matches the criteria from the database, resulting in multiple travel destination candidates.

[0215] Step 3:

[0216] The server collects tourist spots, restaurants, events, travel time and traffic information for each travel destination and generates a travel plan.

[0217] Input: List of travel destination options

[0218] Output: A detailed itinerary for each destination

[0219] Specific operation: The server collects data about the travel destination (tourist attractions, restaurants, event information, etc.) and generates a detailed travel plan using a Python program.

[0220] Step 4:

[0221] The generated travel plan is displayed on the user's terminal.

[0222] Input: Detailed travel plan

[0223] Output: Trip plan displayed on the device

[0224] Specific operation: The server sends the generated travel plan to the terminal, which displays it on the screen.

[0225] Step 5:

[0226] The user selects the desired travel plan.

[0227] Input: Travel plan selection (user action)

[0228] Output: Selected itinerary

[0229] Specific operation: The user selects the desired plan from the displayed multiple travel plans and presses the confirmation button. The device sends the selected plan to the server.

[0230] Step 6:

[0231] The server generates a detailed schedule based on the selected travel plan, including subway and public transport information.

[0232] Input: Selected travel plan

[0233] Output: Detailed schedule

[0234] What it does: Based on the selected itinerary, the server generates a specific visit sequence and timeline, adding public transport information using a Python program.

[0235] Step 7:

[0236] The server displays the detailed schedule on the user's terminal.

[0237] Input: Detailed Schedule

[0238] Output: Detailed schedule displayed on the terminal

[0239] Specific operation: The server sends detailed schedule information to the terminal, which displays it on the screen.

[0240] Step 8:

[0241] The user makes a tentative reservation for the service they desire (flight, hotel, rental car, local guide).

[0242] Input: Tentative reservation request (user action)

[0243] Output: Tentative booking result

[0244] Specific operation: The user selects the service they wish to tentatively reserve on their device and sends a request. The device then sends the data to the server, which then coordinates with various reservation systems to execute the tentative reservation. The result is then notified to the device.

[0245] Step 9:

[0246] The server generates content related to travel destinations using a generative AI model and provides it to users.

[0247] Input: Travel destination information and prompts for the generative AI model

[0248] Output: Auto-generated related content

[0249] How it works: The server uses travel destination information to prompt a generative AI model (e.g., ai_content_generator) to automatically generate content such as videos, blog posts, photo albums, etc. The generated content is then delivered to the user's device.

[0250] Prompt Sentence Examples

[0251] {

[0252] "departure_date": "2023-12-01",

[0253] "return_date": "2023-12-05",

[0254] "budget": 100000

[0255] }

[0256] 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.

[0257] The present invention relates to a travel planning and booking system, and in particular to a system with means for recognizing a user's emotions and optimizing a travel plan, the embodiments of which are described in detail below.

[0258] The first thing the user does is input the travel schedule (departure date and return date) and budget. The user enters the necessary information into the input form displayed on the terminal and submits it. This input information is sent to the server, where the following process takes place:

[0259] The server receives the travel date and budget data and searches and extracts multiple travel destination candidates that match the conditions from the database. For example, if a user enters "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server will list domestic and international travel destinations that match the conditions as candidates to display.

[0260] The server then generates a detailed travel plan for each destination. This plan includes tourist attractions, restaurants, events, travel time, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. These plans also include photographs to make them visually appealing to users.

[0261] The generated travel plan is sent to the device, where the user can view and select. After the user selects a specific plan or spot, the selection data is sent back to the server. The server generates a detailed schedule based on the selection data. This schedule includes the order of visits, a timeline, meal times and locations, and subway and public transport transfer information.

[0262] Another feature of the present invention is the incorporation of an emotion engine that recognizes the user's emotions. This emotion engine analyzes emotions from the user's facial expressions, voice, text input, etc. For example, emotions such as joy, excitement, anxiety, and fatigue can be monitored in real time, providing a means to optimize travel plans based on these emotions.

[0263] Specifically, if a user speaks to the system with a smile, and that emotion is recognized as "joy," the server will prioritize suggestions for travel plans that match that emotion, such as highly relaxing spas or fun events. It can also suggest optimal transportation methods to reduce fatigue when the user returns home.

[0264] Next, the user makes tentative reservations for the desired flight, hotel, rental car, local guide, etc. The server executes the various reservations through the reservation system's API and notifies the user of the results. The completion status or fullness of the tentative reservation can be checked instantly, allowing the user to manage the tentative reservation with peace of mind.

[0265] When users are planning or changing their travel plans, the emotion engine will observe their emotions in real time and automatically readjust their schedules and plans accordingly, providing users with a more satisfying travel experience.

[0266] For example, if a user feels tired while heading to a planned tourist spot, the emotion engine will detect that emotion and suggest changing to a more relaxing spot. This suggestion is made quickly by the server, allowing the user to enjoy themselves without straining themselves.

[0267] Finally, if the user cancels the tentative reservation, the server accepts the cancellation request and performs the cancellation process for each reservation system. The result of this process is also notified to the user, allowing them to easily complete the cancellation procedure.

[0268] In this way, the system of the present invention allows users to consistently manage their trip from planning to execution, and to create an optimal plan that suits the user's emotions. This embodiment allows users to enjoy a more fulfilling travel experience.

[0269] The processing flow will be explained below.

[0270] Step 1:

[0271] Terminal: Displays the initial screen for creating a travel plan and provides a form for the user to enter the travel dates (departure date and return date) and budget.

[0272] Step 2:

[0273] User: Fills in the input form with departure date, return date, and budget, then presses the "Submit" button.

[0274] Step 3:

[0275] Terminal: Sends the entered data (departure date, return date, budget) to the server.

[0276] Step 4:

[0277] Server: Receives travel itinerary and budget data, and searches and extracts multiple travel destination candidates that match the criteria from the database.

[0278] Step 5:

[0279] Server: For each potential travel destination, collects tourist attractions, restaurants, events, travel time, and transportation information and generates a detailed travel plan.

[0280] Step 6:

[0281] Server: Sends the generated travel plan, including the travel plan and corresponding photo images, to the device.

[0282] Step 7:

[0283] Device: Displays a list of suggested travel plans, along with corresponding photo images for each plan.

[0284] Step 8:

[0285] User: Select the places they want to go and the events they want to attend from the multiple plans presented.

[0286] Step 9:

[0287] User: Check the selected plan and spot and press the "Decide" button.

[0288] Step 10:

[0289] Terminal: Sends the user's selection to the server.

[0290] Step 11:

[0291] Server: Generates a detailed schedule based on the selected plan, including the order of visits, timeline, meal times and locations, and subway and public transport information.

[0292] Step 12:

[0293] Server: Sends the generated detailed schedule to the terminal.

[0294] Step 13:

[0295] Terminal: Displays the completed detailed schedule to the user.

[0296] Step 14:

[0297] User: Selects the desired tentative reservation for the flight, hotel, rental car, local guide, etc., enters the reservation details, and presses the "Book" button.

[0298] Step 15:

[0299] Terminal: Sends tentative reservation request data to the server.

[0300] Step 16:

[0301] Server: Calls the API of each reservation system and executes the tentative reservation.

[0302] Step 17:

[0303] Server: Checks whether the tentative reservation is complete or full, and sends the result to the terminal.

[0304] Step 18:

[0305] Terminal: Notifies the user of the tentative reservation result.

[0306] Step 19:

[0307] User: To cancel a tentative reservation, enter the details and press the "Cancel" button.

[0308] Step 20:

[0309] Terminal: Sends a cancellation request to the server.

[0310] Step 21:

[0311] Server: Calls the API of each reservation system and executes the cancellation process.

[0312] Step 22:

[0313] Server: Sends the cancellation result to the device.

[0314] Step 23:

[0315] Terminal: Notify the user of the cancellation result.

[0316] Furthermore, the processing steps incorporating the emotion engine are as follows:

[0317] Step 24:

[0318] Terminal: When a user interacts with the system, emotional data is acquired through voice input, text input, facial expression recognition, etc.

[0319] Step 25:

[0320] Server: Analyzes the acquired emotional data and recognizes the user's emotional state, such as joy, excitement, anxiety, fatigue, etc.

[0321] Step 26:

[0322] Server: Optimize the itinerary suggestions to the user based on the recognized emotion data. If joy or excitement is recognized, suggest active events and tourist spots.

[0323] Step 27:

[0324] Device: The travel plan optimized by the emotion engine is displayed to the user, prompting them to make a selection.

[0325] Step 28:

[0326] User: Select further details from the optimized plan and finalize the trip details.

[0327] Step 29:

[0328] Server: Continuously monitors the user's emotional state in real time and automatically adjusts schedules and plans as needed during the trip.

[0329] For example, if a user feels tired while traveling, the emotion engine will detect this and reschedule the trip to places and activities that will help them relax, ensuring the user always gets the experience that best suits their emotional state.

[0330] In this way, through the specific processing flow described above, the present invention can take into consideration the user's emotions and provide a more satisfying travel experience.

[0331] Example 2

[0332] 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."

[0333] Existing travel planning and reservation systems have the problem of being unable to provide optimal travel plans that reflect the user's emotions. Furthermore, there is a lack of a way for the system to recognize changes in the user's emotions and physical condition during the trip and adjust the plan accordingly in real time. This makes it difficult for users to feel satisfied with the trip planning and execution process, and often leads to stress and fatigue.

[0334] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for accepting input of travel itinerary and budget from a user; means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan; means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan; means for displaying the generated travel plan; means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation; means for displaying the detailed schedule; emotion recognition means for analyzing emotions from the user's facial expressions, voice, text input, etc.; means for optimizing the travel plan based on emotion data acquired by the emotion recognition means; means for making provisional reservations for flights, accommodations, transportation, and local guides; and means for notifying the user of the provisional reservation results. This makes it possible to provide an optimal travel plan based on the user's emotions, and realizes real-time emotion recognition during the trip and readjustment of the plan based on the emotion recognition, thereby enabling the user to have a more satisfying travel experience.

[0335] "User" refers to the individual or entity that plans and books travel.

[0336] "Travel itinerary" refers to information that allows a user to specify the start and end dates of a trip.

[0337] "Budget" refers to information that indicates the total cost that a user sets for a trip.

[0338] "Database" refers to the data structure that allows the System to store and retrieve potential travel destinations and related information.

[0339] "Travel destination candidates" refers to a list of travel destinations that meet the conditions (travel dates and budget) specified by the user.

[0340] "Travel Plan" means a detailed travel itinerary generated based on a user's requirements, including tourist attractions, dining options, events, travel times, and transportation information.

[0341] "Tourist attractions" refer to places of interest and famous places that users are expected to visit at their travel destinations.

[0342] "Restaurant" refers to a restaurant where the user can eat at their travel destination.

[0343] "Event" refers to an activity or event that a user can participate in at a travel destination.

[0344] "Travel time" refers to the time required to travel between tourist spots, restaurants, and events.

[0345] "Transportation information" refers to detailed information about each mode of transportation, including subway and public transport timetables and route information.

[0346] "Emotion recognition means" refers to technology for analyzing emotions from a user's facial expressions, voice, text input, etc.

[0347] "Emotion data" refers to information about the user's emotions acquired by emotion recognition means.

[0348] "Tentative reservation" refers to a temporary reservation of the user's desired flight, accommodation, means of transportation, and local guide.

[0349] "Notification means" refers to technology for notifying users of tentative reservation results, change information, etc.

[0350] "Cancellation request" refers to a request made by a user to cancel a tentative reservation.

[0351] "Photo Image" refers to an image provided as a visual aid to a travel plan.

[0352] The present invention provides a travel planning and booking system that recognizes a user's emotions and provides an optimal travel plan. This system allows users to consistently manage their trip from planning to execution, and allows them to enjoy an advanced travel experience based on their emotions. This embodiment will be described in detail below.

[0353] The first thing the user does is input the travel schedule (departure date and return date) and budget. The user enters the necessary information into the input form displayed on the terminal and submits it. This input information is sent from the terminal to the server, where the following process takes place:

[0354] Hardware and Software Configuration

[0355] This system is implemented with the following hardware and software configuration.

[0356] Device: A device through which a user inputs information, including computers, smartphones, tablets, etc.

[0357] Server: Receives user input information and performs tasks such as generating travel plans, emotion recognition, and schedule optimization. A specific example is a cloud-based computing environment.

[0358] Database: Stores travel destination candidates and related information. MySQL or PostgreSQL is used.

[0359] Emotion recognition engine: Software for analyzing user emotions. Includes the Emotion AI engine.

[0360] Other APIs: APIs for integrating with reservation systems, such as Amadeus API and Skyscanner API.

[0361] Process Overview

[0362] 1. User input:

[0363] The user enters the travel schedule (departure date and return date) and budget into the input form on the terminal and clicks the submit button. For example, the user enters "Departure on December 1, 2023, return on December 5, 2023, budget 100,000 yen."

[0364] 2. Trip suggestion search:

[0365] The server queries the database based on the travel itinerary and budget data sent from the device, searching for and generating a list of domestic and international travel destinations that match the criteria.

[0366] 3. Generate a travel plan:

[0367] The server generates a detailed travel plan for each destination. This plan includes tourist spots, restaurants, events, travel time, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. Furthermore, the plan includes visually appealing photographs.

[0368] 4. Emotion recognition:

[0369] The emotion engine installed on the server analyzes the user's emotions from their facial expressions, voice, text input, etc. For example, if the user speaks with a smile, the emotion is recognized as "joy."

[0370] 5. Optimize your travel plans:

[0371] The server optimizes the travel plan based on the emotion data acquired by the emotion recognition means. If the emotion of joy is recognized, it will prioritize plans that include relaxing spas and fun events.

[0372] 6. Generate schedule:

[0373] Based on the travel plan selected by the user, the server generates a detailed schedule, including the order of visits, timeline, meal times and locations, and subway and public transportation information. The generated schedule is sent to the device, where the user can view and select from it.

[0374] 7. Making a tentative reservation:

[0375] The user makes provisional reservations for the desired flight, accommodation, transportation, and local guide. The server uses the reservation system's API to execute various provisional reservations and notifies the terminal of the results.

[0376] 8. Real-time plan changes:

[0377] When a user is planning a trip or when they change their plans, the emotion recognition system will observe the user's emotions in real time and automatically readjust the schedule or plan accordingly. For example, if the user feels tired, it will suggest changing to a spot where they can relax.

[0378] Prompt Sentence Examples

[0379] Below are some examples of prompts to input to a generative AI model.

[0380] "Let's say the user enters their travel dates (December 1st to December 5th, 2023) and budget (100,000 yen) and shows a happy expression. What kind of travel plan would you suggest under these conditions?"

[0381] As described above, the system of the present invention allows users to consistently manage their trip from planning to execution and create travel plans that are optimized for their emotions. This embodiment allows users to enjoy a more fulfilling travel experience.

[0382] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0383] Step 1:

[0384] The user enters the travel schedule (departure date and return date) and budget into the input form on the terminal. The input information is "Departure December 1, 2023, return December 5, 2023, budget 100,000 yen." After checking the input information, the user clicks the send button. The terminal sends the input from the user to the server.

[0385] Step 2:

[0386] The server queries the database based on the travel itinerary and budget data received from the device. This query searches for domestic and international travel destinations that meet the criteria and generates a list of potential travel destinations. Candidate locations such as "Tokyo, Osaka, Kyoto" are retrieved from the database. The server then sends these candidate locations in list form to the device.

[0387] Step 3:

[0388] The server generates a detailed travel plan for each destination obtained. Based on a list of potential travel destinations obtained from the user (e.g., "Kyoto"), data on tourist spots, restaurants, and events at each destination is collected. In this step, tourist spots such as "Stroll along the Kamo River," restaurants such as "Dining in Gion," and events such as "Visiting Kinkaku-ji Temple" are generated. Visually appealing photo images are also added to the generated travel plan. The travel plan data is sent to the device.

[0389] Step 4:

[0390] The user browses through the travel plan options and selects the one they like. For example, the user selects the "Kyoto plan." This selection data is sent from the terminal to the server.

[0391] Step 5:

[0392] The server generates a detailed schedule based on the data selected by the user. This schedule includes the order of visits, timelines, meal times and locations, and information on subways and public transportation. For example, it includes a detailed timeline such as "9:00 Walk along the Kamo River, 12:00 Dinner in Gion, 15:00 Visit to Kinkaku-ji Temple." The generated schedule is sent to the device, where the user can view it.

[0393] Step 6:

[0394] The server's built-in emotion recognition engine analyzes the user's emotions based on facial expressions, voice, and text input. For example, if the user smiles, this emotion is recognized as "joy." Based on this emotional data, the server optimizes the plan to match the emotion of joy, such as a relaxing spa or fun events. The optimized travel plan is then sent back to the device.

[0395] Step 7:

[0396] The user makes tentative reservations for the desired flight, accommodation, transportation, and local guide. The user inputs these reservations through the device and sends them to the server. The server executes the tentative reservation using the reservation system's API and notifies the device of the results. The tentative reservation status and full status are displayed, allowing the user to decide on the next action to take.

[0397] Step 8:

[0398] If a user experiences a change in their emotional state or physical condition while planning a trip, the system recognizes this in real time and adjusts the plan accordingly. For example, if the user feels tired, the emotion recognition engine analyzes this emotion and suggests changing to a relaxing spot. The server then sends the adjusted plan to the device, and the user applies the new plan.

[0399] Step 9:

[0400] When a user wishes to cancel a tentative reservation, they send a cancellation request from their terminal. The server accepts the cancellation request and processes the cancellation through each reservation destination system. The server notifies the terminal of the cancellation result, allowing the user to easily complete the cancellation procedure.

[0401] (Application example 2)

[0402] 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."

[0403] Conventional travel planning and reservation systems are unable to provide optimal travel plans based on the user's emotions and state, making it difficult to increase user satisfaction. Furthermore, in factory work, there is a lack of means to grasp the emotions and state of workers in real time and optimize work content and break times, making it difficult to improve productivity and manage the health of workers.

[0404] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for accepting input of travel itinerary and budget from a user; means for searching a database for multiple travel destination candidates that meet the input conditions and generating a travel plan based on the input; means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan; means for displaying the generated travel plan; means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation; means for displaying the detailed schedule; means for making provisional reservations for airplanes, hotels, rental cars, and local guides; means for notifying the user of the provisional reservation results; means for analyzing the user's facial expressions and voice to recognize the user's emotions in real time; and means for readjusting the travel plan and schedule based on the recognized emotions. This makes it possible to provide an optimal travel plan based on the user's emotions and state, and to optimize the work content and break times of factory workers based on their emotions and state.

[0405] "User" means any person or entity that uses the System to plan and book travel plans.

[0406] "Itinerary" refers to the schedule including the departure date and return date of the trip.

[0407] A "budget" refers to the maximum amount of money you can spend on a trip.

[0408] "Travel destination candidates" refer to multiple destinations suggested based on user input.

[0409] "Travel Plan" refers to a specific plan of attractions, places to eat, events, etc. for a particular travel destination.

[0410] "Tourist spots" refer to famous places and attractions that are worth visiting at a travel destination.

[0411] "Restaurant" refers to a facility that serves meals at a travel destination.

[0412] "Event" refers to any activities or activities that you can participate in at your travel destination.

[0413] "Travel time" refers to the time required for each stage or movement included in the travel plan.

[0414] "Transportation information" refers to detailed data about subways and public transportation.

[0415] A "detailed schedule" refers to a specific itinerary created based on a travel plan selected by the user.

[0416] A "tentative reservation" refers to a temporary reservation for services such as flights, hotels, rental cars, and local guides.

[0417] "Facial expression" refers to emotions expressed by the movement of the user's facial muscles.

[0418] "Voice" refers to emotions expressed through the tone, speed, and strength of the user's voice.

[0419] "Real-time" refers to processing and reflecting data in the present moment.

[0420] "Means for recognizing emotions" refers to technology that analyzes a user's emotions and determines their state.

[0421] "Recalibration" refers to changing travel plans or schedules based on perceived emotions.

[0422] This invention relates to a travel planning and reservation system, and in particular to a system that recognizes a user's emotions in real time and provides an optimal travel plan. Specifically, the system connects a wearable device such as smart glasses with a server, analyzes the user's emotions, and optimizes the travel plan or factory work schedule based on the analysis results.

[0423] First, the user enters their travel dates and budget into an input form on their device and submits it. This information is sent to the server, which then searches and extracts multiple travel destination candidates that match the criteria from a database. Based on the extracted travel destination candidates, a detailed travel plan is generated, including tourist attractions, restaurants, events, travel time, and transportation information. These plans are then displayed to the user, who can select from them.

[0424] This is where the emotion engine, a key feature of the present invention, comes into play. When a user browses or selects a travel plan while wearing the smart glasses, the camera and microphone capture the user's facial expressions and voice, and the system recognizes their emotions in real time. This emotion analysis uses image processing libraries such as OpenCV and emotion analysis libraries such as DeepFace. Based on the analysis results, the system determines whether the user is feeling joy, excitement, anxiety, fatigue, or other emotions.

[0425] For example, if a user smiles while looking at a travel plan, this is recognized as "joy." In this case, the server will prioritize adding relaxing spas and fun events to the plan. Also, if the user feels tired or stressed, the server will readjust the travel plan to suggest relaxation spots and rest times.

[0426] This approach could also be applied to factory work, where workers wear smart glasses and use cameras to capture their facial expressions and movements while they work. Using DeepFace and other emotion analysis technologies, the system can analyze the worker's emotions in real time and suggest a reduction in work load or a break if signs of fatigue are detected.

[0427] For example, if Worker A is wearing smart glasses and the emotion analysis engine detects "fatigue," the server will schedule a 10-minute break and send a notification to the smart glasses, allowing the worker to take the necessary rest immediately.

[0428] An example of an input prompt using a generative AI model is as follows:

[0429] Analyze the facial expressions and voice of factory workers wearing smart glasses to recognize their emotions in real time. Depending on their emotions, the system will notify the worker of break times and adjust their work content. For example, if a worker feels fatigued, the system will automatically suggest a 10-minute break and send a notification to the smart glasses.

[0430] This makes it possible to provide optimal travel plans that match the user's emotions and state, and to optimize work content and rest times based on the emotions and state of workers at factory sites.

[0431] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0432] Step 1:

[0433] The terminal accepts input of travel itinerary and budget from the user. An input form is displayed, and the user inputs the itinerary and budget. This input data is sent to the server.

[0434] Step 2:

[0435] The server receives the user's input data (schedule and budget). Based on the received data, it searches and extracts multiple travel destination candidates that match the conditions from the database. It then generates the extracted results (a list of travel destination candidates) and sends them to the device.

[0436] Step 3:

[0437] The terminal displays the list of travel destination candidates sent from the server to the user. The user selects a destination that interests them from the travel destination candidates. The selected data is sent to the server.

[0438] Step 4:

[0439] The server receives the user's selection data, collects tourist attractions, restaurants, events, travel time, and transportation information based on the selected travel destination, and generates a detailed travel plan based on the collected information and sends it to the terminal.

[0440] Step 5:

[0441] The terminal displays the detailed travel plan sent from the server to the user. The user selects and confirms the plan, and requests changes to the plan if necessary. The request data is sent to the server.

[0442] Step 6:

[0443] The server receives the user's request data and generates a detailed schedule based on it. The schedule includes the order in which tourist spots should be visited, a timeline, meal times and locations, and subway and public transport transfer information. The generated schedule is then sent to the device.

[0444] Step 7:

[0445] The terminal displays the detailed schedule sent from the server to the user. The user checks the schedule and makes a tentative reservation if necessary. The tentative reservation data is sent to the server.

[0446] Step 8:

[0447] The server receives the user's provisional reservation data, makes provisional reservations for flights, hotels, rental cars, and local guides, and notifies the terminal of the provisional reservation results.

[0448] Step 9:

[0449] The terminal notifies the user of the provisional reservation result sent from the server, and the user checks the provisional reservation information.

[0450] Step 10:

[0451] When a user wears the smart glasses and uses the system, the camera and microphone capture facial expressions and voice data, which are then sent to a server in real time.

[0452] Step 11:

[0453] The server analyzes the received camera and audio data to recognize the user's emotions (e.g., joy, excitement, anxiety, fatigue, etc.). Emotion analysis uses libraries such as OpenCV and DeepFace. Based on the recognized emotions, the server adjusts travel plans and schedules.

[0454] Step 12:

[0455] The server sends the re-adjusted plan or schedule to the device, and the device notifies the user of the information. The optimization is completed when the user confirms and agrees to the new plan or schedule.

[0456] The above steps make it possible to provide an optimal travel plan based on the user's emotions and state. Similarly, in factories, the same procedure can be used to optimize work content and break times based on the emotions of workers.

[0457] 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.

[0458] 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.

[0459] 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.

[0460] [Second embodiment]

[0461] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0462] 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.

[0463] 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).

[0464] 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.

[0465] 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.

[0466] 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).

[0467] 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.

[0468] 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.

[0469] 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.

[0470] 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.

[0471] 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.

[0472] 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."

[0473] The present invention relates to a travel planning and reservation system. Specifically, it is a comprehensive system that accepts travel itinerary and budget inputs from a user, proposes multiple travel destination options based on the inputs, creates a detailed schedule, and even handles tentative reservations and cancellations. An embodiment of the system is described in detail below.

[0474] The first thing the user does is input the travel schedule (departure date and return date) and budget. To do this, an input form is displayed on the terminal. When the user completes the input and presses the send button, the data is sent to the server. The server receives this data and proceeds to the next process.

[0475] The server extracts multiple travel destination candidates that meet the conditions from the database based on the received travel dates and budget. For example, if a user inputs "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server will generate a list of domestic and international travel destinations that meet those conditions.

[0476] The server then creates a detailed travel plan for each destination, including tourist attractions, restaurants, events, travel times, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. Additionally, photos of each tourist attraction and restaurant are added to the plan.

[0477] The generated travel plan is sent to the device, where the user can select it. After the user selects a specific plan or spot, the selection data is sent back to the server, which then generates a detailed schedule based on the selected plan. This schedule includes the order of visits, a specific timeline, meal times and locations, and subway and public transportation information.

[0478] Next, if the user wishes to make a tentative reservation for a flight, hotel, rental car, local guide, etc., the request is sent again to the server. The server then connects with the various reservation destination systems to make the tentative reservation. The results of the tentative reservation are notified to the terminal. If the user wishes to cancel, the cancellation request is accepted in the same manner, and the server processes the cancellation through each reservation destination system.

[0479] For example, if a user selects the "Kyoto Plan" and wishes to visit Kinkaku-ji Temple and Gion, the server will create a specific schedule based on that. This schedule includes a detailed plan to visit Kinkaku-ji Temple in the morning and have dinner in Gion in the afternoon. Transportation information is also provided, allowing the user to enjoy sightseeing efficiently.

[0480] This invention allows users to efficiently carry out a series of processes from planning to execution of a trip, thereby improving the quality of the trip. By linking the server and terminals and automating many steps, the burden on the user can be significantly reduced.

[0481] The processing flow will be explained below.

[0482] Step 1:

[0483] Terminal: Displays the initial screen for creating a travel plan and presents the user with a form to enter the travel dates (departure date and return date) and budget.

[0484] Step 2:

[0485] User: Fills in the input form with departure date, return date, and budget, and presses the "Submit" button.

[0486] Step 3:

[0487] Terminal: Sends the entered data (departure date, return date, budget) to the server.

[0488] Step 4:

[0489] Server: Receives the travel itinerary and budget data entered by the user.

[0490] Step 5:

[0491] Server: Based on the input data, the server searches the database for multiple travel destination candidates that match the conditions and extracts the results.

[0492] Step 6:

[0493] Server: For each potential travel destination, collect the following information and generate a travel plan:

[0494] Tourist attractions

[0495] Dining

[0496] event

[0497] Travel time

[0498] Traffic information

[0499] Step 7:

[0500] Server: Sends the generated travel plan and corresponding photo images to the device.

[0501] Step 8:

[0502] Terminal: Displays a list of travel plans suggested to the user, along with photo images corresponding to each plan.

[0503] Step 9:

[0504] User: Select the places they want to go or the events they want to attend from the proposed plans and press the "Decide" button.

[0505] Step 10:

[0506] Terminal: Sends the user's selection to the server.

[0507] Step 11:

[0508] Server: Generates a detailed schedule based on user selections. This schedule includes:

[0509] Order of places to visit

[0510] Timeline

[0511] Meal times and places

[0512] Subway and public transport information

[0513] Step 12:

[0514] Server: Sends the generated detailed schedule to the terminal.

[0515] Step 13:

[0516] Terminal: Displays the completed detailed schedule to the user.

[0517] Step 14:

[0518] User: Enter tentative reservations for desired flights, hotels, rental cars, local guides, etc. and press the "Book" button.

[0519] Step 15:

[0520] Terminal: Sends tentative reservation request data to the server.

[0521] Step 16:

[0522] Server: Calls the API of each reservation system and executes the tentative reservation.

[0523] Step 17:

[0524] Server: Checks whether the tentative reservation is complete or full, and sends the result to the terminal.

[0525] Step 18:

[0526] Terminal: Notifies the user of the tentative reservation result.

[0527] Step 19:

[0528] User: To cancel a tentative reservation, enter the details and press the "Cancel" button.

[0529] Step 20:

[0530] Terminal: Sends a cancellation request to the server.

[0531] Step 21:

[0532] Server: Calls the API of each reservation system and executes the cancellation process.

[0533] Step 22:

[0534] Server: Sends the cancellation result to the device.

[0535] Step 23:

[0536] Terminal: Notify the user of the cancellation result.

[0537] The above are the specific processing steps of the system according to the present invention, which allows users to easily create travel plans that meet their requirements and smoothly make or cancel reservations as needed.

[0538] Example 1

[0539] 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."

[0540] In conventional travel planning systems, it was difficult for users to find suitable travel destinations after entering their travel dates and budget, and creating detailed schedules required a lot of manual work, making it difficult to plan efficiently.Furthermore, there were issues with the burden on users when displaying travel plans, making tentative reservations, and canceling reservations.

[0541] 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.

[0542] In this invention, the server includes means for accepting input of travel itinerary and budget from a user, means for searching a database for multiple travel destination candidates that meet the input conditions and generating a travel plan based on the input, means for collecting information on tourist spots, restaurants, events, and travel times and transportation included in each travel plan from external data sources, means for displaying the generated travel plan on a terminal, means for generating a detailed schedule based on a plan selected by the user and including information on public transportation, means for displaying the detailed schedule on the terminal, means for making provisional reservations for airplanes, accommodations, cars, and local guides, and means for notifying the user of the provisional reservation results. This makes it possible to automate the entire process from planning to booking, execution, and cancellation of a trip, significantly reducing the burden on the user.

[0543] "Travel itinerary" refers to the start and end dates of a trip planned by a user.

[0544] "Budget" refers to the total amount of money a user can spend on a trip.

[0545] "Travel destination candidates" refers to a list of travel destinations that may fit the user's inputted dates and budget.

[0546] A "database" is a software system that organizes and stores information in an organized manner, allowing it to be searched and retrieved efficiently.

[0547] A "travel plan" is a plan that summarizes specific activities and places to visit at a travel destination.

[0548] "Tourist attractions" are famous places and popular locations that are recommended for travel.

[0549] A "restaurant" is a place or restaurant where you can eat while traveling.

[0550] An "event" is an event or activity held at a travel destination.

[0551] "Travel time" refers to the time it takes to travel between each leg of a trip.

[0552] "Transportation information" refers to data on public transportation operation information and means of transportation at the travel destination.

[0553] A "terminal" is a device such as a computer or smartphone that can be directly operated by a user.

[0554] A "detailed schedule" is a more specific itinerary created based on the travel plan selected by the user.

[0555] "Public transportation" refers to means of transportation available to the general public, such as buses, subways, and trains.

[0556] "Aircraft" refers to the aircraft used for travel.

[0557] "Accommodation" refers to facilities such as hotels and guesthouses where you stay while traveling.

[0558] "Automobile" refers to a vehicle such as a rental car used to travel around a travel destination.

[0559] A "local guide" is a service provider who provides tourist information at travel destinations.

[0560] A "tentative reservation" is a reservation that is temporarily held before the final reservation is confirmed.

[0561] A "cancellation request" is a request sent to the server to cancel a reservation made by a user.

[0562] MODE FOR CARRYING OUT THE INVENTION

[0563] This invention relates to a travel planning and reservation system that allows users to input their travel dates and budget, and then proposes multiple travel destination options based on the input, creating a detailed schedule. This system operates in conjunction with a server and terminals, allowing users to efficiently plan and reserve their trips.

[0564] Overall system overview

[0565] First, the user enters the travel itinerary (departure date and return date) and budget on the terminal. To do this, an input form is displayed on the terminal. Specifically, it is designed using an HTML form and JavaScript, with the itinerary entered in a calendar format and the budget entered in a numerical format. When the user has completed the input and pressed the submit button, the data is sent to the server via the HTTPS protocol.

[0566] Receiving and analyzing data

[0567] The server searches a database (e.g., MySQL, PostgreSQL) for multiple travel destination candidates that match the received travel dates and budget. For example, if a user enters "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server extracts domestic and international travel destinations that fit the criteria. This is done using an SQL query.

[0568] Generate a travel plan

[0569] The server then creates a detailed travel plan for each destination. This plan includes tourist attractions, restaurants, events, travel times, and transportation information. Additional information is obtained from external data sources (e.g., Google Maps API, TripAdvisor API). For example, a Kyoto plan might include a sightseeing route that includes visiting Kinkaku-ji Temple, dining in Gion, and strolling along the Kamo River. Photo images of each tourist attraction and restaurant are also obtained from the API and added to the plan.

[0570] View travel plans

[0571] The generated itinerary is then sent back to the device, where the user can view and select it. The itinerary is displayed using a responsive design using HTML and CSS, and detailed information is displayed when a specific itinerary is clicked.

[0572] Generate and view detailed schedules

[0573] After the user selects a specific plan or spot, the selection data is sent back to the server, which then generates a detailed schedule based on the selected plan. This schedule includes the order of visits, a specific timeline, meal times and locations, and public transportation information. This information is obtained in real time using Google Maps APIs and other tools. The generated schedule is then displayed on the user's device using HTML and JavaScript.

[0574] Tentative reservation and cancellation processing

[0575] If the user wishes to make a tentative reservation for a flight, hotel, rental car, local guide, etc., the request is sent again to the server. The server then connects with the various reservation destination systems (e.g., Amadeus API, Booking.com API) to make the tentative reservation. The results of the tentative reservation are notified to the terminal. If the user wishes to cancel, the server will accept the cancellation request using the same procedure and process the cancellation through each reservation destination system.

[0576] Specific examples and prompts for the generative AI model

[0577] For example, if a user selects the "Kyoto Plan" and wishes to visit Kinkaku-ji Temple and Gion, the server will create a specific schedule based on that. This schedule includes a detailed plan to visit Kinkaku-ji Temple in the morning and have dinner in Gion in the afternoon. Transportation information is also provided, allowing the user to enjoy sightseeing efficiently.

[0578] An example prompt for a generative AI model might look like this:

[0579] "Describe an extension to a travel planning and reservation system that suggests the best travel destinations based on the user's dates and budget, creates detailed itineraries, and allows for tentative bookings and cancellations."

[0580] As a result, the present invention provides consistent support from travel planning to booking and execution, reducing the burden on users and providing a high-quality travel experience.

[0581] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0582] Step 1:

[0583] The user enters the travel dates and budget. To do this, the device's browser displays an input form using HTML and JavaScript, and the user enters the departure date, return date, and budget in each input field. The input data is "Departure on December 1, 2023, return on December 5, 2023, budget 100,000 yen."

[0584] Step 2:

[0585] The input data is sent to the server. When the user clicks the send button, the entered itinerary and budget are sent from the terminal to the server via the HTTPS protocol. The server temporarily stores the received data. The input is the user's travel itinerary and budget data, and the output is the data received by the server.

[0586] Step 3:

[0587] The server extracts potential travel destinations. Based on the received travel itinerary and budget, the server executes an SQL query against a database (e.g., MySQL, PostgreSQL) to retrieve multiple potential travel destinations that match the conditions. For example, based on "December 1, 2023 to December 5, 2023, budget of 100,000 yen," it extracts "Kyoto, Tokyo, and Okinawa." The input is the user's itinerary and budget data, and the output is a list of potential travel destinations that match the conditions.

[0588] Step 4:

[0589] The server creates a detailed travel plan. For each destination, it collects information such as tourist spots, restaurants, events, travel time, and transportation information. Google Maps API and TripAdvisor API are used to collect the information. For example, a Kyoto plan will be created that includes "visiting Kinkaku-ji Temple, dining in Gion, and strolling along the Kamo River." The input is a list of potential travel destinations, and the output is a detailed travel plan for each destination.

[0590] Step 5:

[0591] The generated itinerary is sent to the terminal. The server delivers each generated itinerary to the terminal and displays it in a list on the terminal's browser. The user confirms each plan through the user interface. The input is a detailed itinerary, and the output is a list of itineraries displayed on the terminal.

[0592] Step 6:

[0593] The user selects a travel plan. The user selects the desired plan (e.g., Kyoto plan) from the travel plans displayed on the device screen and selects specific destinations (e.g., Kinkaku-ji Temple, Gion). The input is the travel plan selection data, and the output is the details of the plan selected by the user.

[0594] Step 7:

[0595] The selected data is sent to the server. The data selected by the user is sent back to the server from the terminal. The input is the travel plan data selected by the user, and the output is the selected data received by the server.

[0596] Step 8:

[0597] The server generates a detailed schedule. The server generates a specific action plan based on the selected data. It uses the Google Maps API to calculate real-time traffic information and travel time, and creates a specific timeline. For example, a schedule such as "Visit Kinkaku-ji Temple at 9:00, have dinner in Gion at 13:00" is generated. The input is the user's selected data, and the output is a detailed schedule.

[0598] Step 9:

[0599] The user requests a tentative reservation or cancellation. If the user checks the schedule and wishes to make a tentative reservation for a flight, hotel, rental car, or local guide, they select the appropriate service on the terminal and submit the request. Similarly, a cancellation request can also be submitted. The input is the user's tentative reservation request or cancellation request, and the output is the request received by the server.

[0600] Step 10:

[0601] The server processes tentative reservations and cancellations. Based on the received request, the server calls the APIs of various services (e.g., Amadeus API, Booking.com API) to make tentative reservations or cancellations. If the tentative reservation is successful, a reservation ID is generated and notified to the terminal. A cancellation is also processed in the same way, and the result is notified. The input is the user's tentative reservation or cancellation request, and the output is the tentative reservation or cancellation result.

[0602] (Application example 1)

[0603] 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."

[0604] Existing travel planning systems suggest travel destinations and create detailed itineraries, but they lack content related to the destinations. This makes it difficult for users to visualize their travel plans. Furthermore, the lack of a mechanism for automatically generating content related to the destinations limits the user experience.

[0605] 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.

[0606] In this invention, the server includes means for accepting input of travel itinerary and budget from a user, means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan, means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan, means for displaying the generated travel plan, means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation, means for displaying the detailed schedule, means for making provisional reservations for flights, hotels, rental cars, and local guides, means for notifying the user of the provisional reservation results, and means for generating content related to the travel destination using a generative AI model and providing the content to the user. This allows the user to create a detailed travel plan while checking specific content related to the travel plan.

[0607] "Means for accepting input of travel itinerary and budget from user" is a function that provides an interface for users to input travel itinerary (departure date and return date) and budget, and acquires the input data.

[0608] "Means for searching a database for multiple travel destination options and generating a travel plan" refers to a function that retrieves travel destination options from a database based on user input data and creates a suggested travel plan based on those options.

[0609] "Means of collecting tourist attractions, restaurants, events, and travel time and transportation information" is a function that collects information on tourist attractions, restaurants, events, etc. at each travel destination, as well as details of the time required and transportation methods.

[0610] The "means for displaying the generated itinerary" is a function that uses the device screen to visually present the generated itinerary to the user.

[0611] "A means of generating detailed schedules and including subway and public transport information" refers to a function that creates a specific visit order and timeline based on the user's selected travel plan and incorporates public transport information into it.

[0612] The "means for displaying the detailed schedule" is a function that provides an interface for displaying the created detailed schedule on the user's device.

[0613] "Means for making provisional reservations for flights, hotels, rental cars, and local guides" is a function that allows users to temporarily reserve services such as desired flights, accommodations, rental cars, and local guides.

[0614] The "means for notifying the user of the provisional reservation result" is a system or function for notifying the user's device of the provisional reservation result.

[0615] "Means for generating content related to travel destinations using a generative AI model and providing said content to users" refers to a function that automatically creates information such as videos, photos, and blog articles related to the user's travel destinations using a generative AI model and delivers them to the user.

[0616] "Means for accepting a cancellation request and processing the cancellation based on the request through each reservation destination system" is a function that receives a user's cancellation request and cancels the reservation in cooperation with each reservation destination system accordingly.

[0617] "Means for displaying photographic images corresponding to each plan" refers to a function that simultaneously displays images of relevant tourist spots, events, etc. when displaying a travel plan.

[0618] This invention relates to a travel planning and booking system that allows users to input their travel dates and budget, and based on that data, suggests optimal travel destination options, creates detailed schedules, and provides destination-related content. The system is implemented using the following hardware and software:

[0619] The server provides a means for accepting input of travel itineraries and budgets from users. Users input the itineraries and budgets via devices such as smartphones or PCs and send the data to the server.

[0620] The server then uses this data to search for multiple travel destinations that fit the criteria in the database. The server then collects information on tourist attractions, restaurants, events, travel times, and transportation information at the destination, and generates a travel plan. The collected data is processed using programs such as Python and SQL.

[0621] The generated travel plan is displayed on the user's device. The user can select the desired plan from the multiple plans generated. Based on the selected plan, the server creates a detailed schedule. This schedule includes the order in which tourist spots should be visited, a specific timeline, meal times and locations, and information on subways and public transportation.

[0622] The server further automatically generates content related to the travel destination using the generative AI model. The generated content is provided to the user as videos, blog articles, photo albums, etc. related to the travel destination. For this purpose, a generative AI model library such as ai_content_generator is used.

[0623] If the user wishes, tentative reservations are made for flights, hotels, rental cars, and local guides. The tentative reservation results are notified to the user's device. If a cancellation request is received, the server connects with the systems of each reservation destination and processes the cancellation of the reservation.

[0624] As a specific example, if a user inputs a travel itinerary from "2023-12-01" to "2023-12-05" and a budget of "100,000 yen," the server will suggest travel destinations (e.g., Kyoto) that fit the criteria. The detailed itinerary will include a visit to Kinkaku-ji Temple, meals in Gion, and information on travel time and transportation between tourist spots. Furthermore, related content (such as a video introducing the "Four Seasons of Kyoto" and a blog post about a visit to Gion) will be automatically generated and provided to the user using a generative AI model.

[0625] This system can improve the user experience by making it easier for users to plan specific trips and providing rich information about travel destinations.

[0626] Prompt Sentence Examples

[0627] {

[0628] "departure_date": "2023-12-01",

[0629] "return_date": "2023-12-05",

[0630] "budget": 100000

[0631] }

[0632] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0633] Step 1:

[0634] The user inputs and submits the travel schedule and budget using a device such as a smartphone or a personal computer.

[0635] Input: Travel dates (departure date and return date), budget

[0636] Output: User input data sent to the server

[0637] Specific operation: The user fills in the form on the terminal with the schedule and budget, then presses the submit button. The terminal then sends this data to the server.

[0638] Step 2:

[0639] Based on the data input by the user received by the server, a database is searched for multiple travel destination candidates that meet the conditions.

[0640] Input: User input data (date and budget)

[0641] Output: A list of travel destinations that match the criteria

[0642] Specific operation: The server executes an SQL query to retrieve travel destination information that matches the criteria from the database, resulting in multiple travel destination candidates.

[0643] Step 3:

[0644] The server collects tourist spots, restaurants, events, travel time and traffic information for each travel destination and generates a travel plan.

[0645] Input: List of travel destination options

[0646] Output: A detailed itinerary for each destination

[0647] Specific operation: The server collects data about the travel destination (tourist attractions, restaurants, event information, etc.) and generates a detailed travel plan using a Python program.

[0648] Step 4:

[0649] The generated travel plan is displayed on the user's terminal.

[0650] Input: Detailed travel plan

[0651] Output: Trip plan displayed on the device

[0652] Specific operation: The server sends the generated travel plan to the terminal, which displays it on the screen.

[0653] Step 5:

[0654] The user selects the desired travel plan.

[0655] Input: Travel plan selection (user action)

[0656] Output: Selected itinerary

[0657] Specific operation: The user selects the desired plan from the displayed multiple travel plans and presses the confirmation button. The device sends the selected plan to the server.

[0658] Step 6:

[0659] The server generates a detailed schedule based on the selected travel plan, including subway and public transport information.

[0660] Input: Selected travel plan

[0661] Output: Detailed schedule

[0662] What it does: Based on the selected itinerary, the server generates a specific visit sequence and timeline, adding public transport information using a Python program.

[0663] Step 7:

[0664] The server displays the detailed schedule on the user's terminal.

[0665] Input: Detailed Schedule

[0666] Output: Detailed schedule displayed on the terminal

[0667] Specific operation: The server sends detailed schedule information to the terminal, which displays it on the screen.

[0668] Step 8:

[0669] The user makes a tentative reservation for the service they desire (flight, hotel, rental car, local guide).

[0670] Input: Tentative reservation request (user action)

[0671] Output: Tentative booking result

[0672] Specific operation: The user selects the service they wish to tentatively reserve on their device and sends a request. The device then sends the data to the server, which then coordinates with various reservation systems to execute the tentative reservation. The result is then notified to the device.

[0673] Step 9:

[0674] The server generates content related to travel destinations using a generative AI model and provides it to users.

[0675] Input: Travel destination information and prompts for the generative AI model

[0676] Output: Auto-generated related content

[0677] How it works: The server uses travel destination information to prompt a generative AI model (e.g., ai_content_generator) to automatically generate content such as videos, blog posts, photo albums, etc. The generated content is then delivered to the user's device.

[0678] Prompt Sentence Examples

[0679] {

[0680] "departure_date": "2023-12-01",

[0681] "return_date": "2023-12-05",

[0682] "budget": 100000

[0683] }

[0684] 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.

[0685] The present invention relates to a travel planning and booking system, and in particular to a system with means for recognizing a user's emotions and optimizing a travel plan, the embodiments of which are described in detail below.

[0686] The first thing the user does is input the travel schedule (departure date and return date) and budget. The user enters the necessary information into the input form displayed on the terminal and submits it. This input information is sent to the server, where the following process takes place:

[0687] The server receives the travel date and budget data and searches and extracts multiple travel destination candidates that match the conditions from the database. For example, if a user enters "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server will list domestic and international travel destinations that match the conditions as candidates to display.

[0688] The server then generates a detailed travel plan for each destination. This plan includes tourist attractions, restaurants, events, travel time, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. These plans also include photographs to make them visually appealing to users.

[0689] The generated travel plan is sent to the device, where the user can view and select. After the user selects a specific plan or spot, the selection data is sent back to the server. The server generates a detailed schedule based on the selection data. This schedule includes the order of visits, a timeline, meal times and locations, and subway and public transport transfer information.

[0690] Another feature of the present invention is the incorporation of an emotion engine that recognizes the user's emotions. This emotion engine analyzes emotions from the user's facial expressions, voice, text input, etc. For example, emotions such as joy, excitement, anxiety, and fatigue can be monitored in real time, providing a means to optimize travel plans based on these emotions.

[0691] Specifically, if a user speaks to the system with a smile, and that emotion is recognized as "joy," the server will prioritize suggestions for travel plans that match that emotion, such as highly relaxing spas or fun events. It can also suggest optimal transportation methods to reduce fatigue when the user returns home.

[0692] Next, the user makes tentative reservations for the desired flight, hotel, rental car, local guide, etc. The server executes the various reservations through the reservation system's API and notifies the user of the results. The completion status or fullness of the tentative reservation can be checked instantly, allowing the user to manage the tentative reservation with peace of mind.

[0693] When users are planning or changing their travel plans, the emotion engine will observe their emotions in real time and automatically readjust their schedules and plans accordingly, providing users with a more satisfying travel experience.

[0694] For example, if a user feels tired while heading to a planned tourist spot, the emotion engine will detect that emotion and suggest changing to a more relaxing spot. This suggestion is made quickly by the server, allowing the user to enjoy themselves without straining themselves.

[0695] Finally, if the user cancels the tentative reservation, the server accepts the cancellation request and performs the cancellation process for each reservation system. The result of this process is also notified to the user, allowing them to easily complete the cancellation procedure.

[0696] In this way, the system of the present invention allows users to consistently manage their trip from planning to execution, and to create an optimal plan that suits the user's emotions. This embodiment allows users to enjoy a more fulfilling travel experience.

[0697] The processing flow will be explained below.

[0698] Step 1:

[0699] Terminal: Displays the initial screen for creating a travel plan and provides a form for the user to enter the travel dates (departure date and return date) and budget.

[0700] Step 2:

[0701] User: Fills in the input form with departure date, return date, and budget, then presses the "Submit" button.

[0702] Step 3:

[0703] Terminal: Sends the entered data (departure date, return date, budget) to the server.

[0704] Step 4:

[0705] Server: Receives travel itinerary and budget data, and searches and extracts multiple travel destination candidates that match the criteria from the database.

[0706] Step 5:

[0707] Server: For each potential travel destination, collects tourist attractions, restaurants, events, travel time, and transportation information and generates a detailed travel plan.

[0708] Step 6:

[0709] Server: Sends the generated travel plan, including the travel plan and corresponding photo images, to the device.

[0710] Step 7:

[0711] Device: Displays a list of suggested travel plans, along with corresponding photo images for each plan.

[0712] Step 8:

[0713] User: Select the places they want to go and the events they want to attend from the multiple plans presented.

[0714] Step 9:

[0715] User: Check the selected plan and spot and press the "Decide" button.

[0716] Step 10:

[0717] Terminal: Sends the user's selection to the server.

[0718] Step 11:

[0719] Server: Generates a detailed schedule based on the selected plan, including the order of visits, timeline, meal times and locations, and subway and public transport information.

[0720] Step 12:

[0721] Server: Sends the generated detailed schedule to the terminal.

[0722] Step 13:

[0723] Terminal: Displays the completed detailed schedule to the user.

[0724] Step 14:

[0725] User: Selects the desired tentative reservation for the flight, hotel, rental car, local guide, etc., enters the reservation details, and presses the "Book" button.

[0726] Step 15:

[0727] Terminal: Sends tentative reservation request data to the server.

[0728] Step 16:

[0729] Server: Calls the API of each reservation system and executes the tentative reservation.

[0730] Step 17:

[0731] Server: Checks whether the tentative reservation is complete or full, and sends the result to the terminal.

[0732] Step 18:

[0733] Terminal: Notifies the user of the tentative reservation result.

[0734] Step 19:

[0735] User: To cancel a tentative reservation, enter the details and press the "Cancel" button.

[0736] Step 20:

[0737] Terminal: Sends a cancellation request to the server.

[0738] Step 21:

[0739] Server: Calls the API of each reservation system and executes the cancellation process.

[0740] Step 22:

[0741] Server: Sends the cancellation result to the device.

[0742] Step 23:

[0743] Terminal: Notify the user of the cancellation result.

[0744] Furthermore, the processing steps incorporating the emotion engine are as follows:

[0745] Step 24:

[0746] Terminal: When a user interacts with the system, emotional data is acquired through voice input, text input, facial expression recognition, etc.

[0747] Step 25:

[0748] Server: Analyzes the acquired emotional data and recognizes the user's emotional state, such as joy, excitement, anxiety, fatigue, etc.

[0749] Step 26:

[0750] Server: Optimize the itinerary suggestions to the user based on the recognized emotion data. If joy or excitement is recognized, suggest active events and tourist spots.

[0751] Step 27:

[0752] Device: The travel plan optimized by the emotion engine is displayed to the user, prompting them to make a selection.

[0753] Step 28:

[0754] User: Select further details from the optimized plan and finalize the trip details.

[0755] Step 29:

[0756] Server: Continuously monitors the user's emotional state in real time and automatically adjusts schedules and plans as needed during the trip.

[0757] For example, if a user feels tired while traveling, the emotion engine will detect this and reschedule the trip to places and activities that will help them relax, ensuring the user always gets the experience that best suits their emotional state.

[0758] In this way, through the specific processing flow described above, the present invention can take into consideration the user's emotions and provide a more satisfying travel experience.

[0759] Example 2

[0760] 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."

[0761] Existing travel planning and reservation systems have the problem of being unable to provide optimal travel plans that reflect the user's emotions. Furthermore, there is a lack of a way for the system to recognize changes in the user's emotions and physical condition during the trip and adjust the plan accordingly in real time. This makes it difficult for users to feel satisfied with the trip planning and execution process, and often leads to stress and fatigue.

[0762] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for accepting input of travel itinerary and budget from a user; means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan; means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan; means for displaying the generated travel plan; means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation; means for displaying the detailed schedule; emotion recognition means for analyzing emotions from the user's facial expressions, voice, text input, etc.; means for optimizing the travel plan based on emotion data acquired by the emotion recognition means; means for making provisional reservations for flights, accommodations, transportation, and local guides; and means for notifying the user of the provisional reservation results. This makes it possible to provide an optimal travel plan based on the user's emotions, and realizes real-time emotion recognition during the trip and readjustment of the plan based on the emotion recognition, thereby enabling the user to have a more satisfying travel experience.

[0763] "User" refers to the individual or entity that plans and books travel.

[0764] "Travel itinerary" refers to information that allows a user to specify the start and end dates of a trip.

[0765] "Budget" refers to information that indicates the total cost that a user sets for a trip.

[0766] "Database" refers to the data structure that allows the System to store and retrieve potential travel destinations and related information.

[0767] "Travel destination candidates" refers to a list of travel destinations that meet the conditions (travel dates and budget) specified by the user.

[0768] "Travel Plan" means a detailed travel itinerary generated based on a user's requirements, including tourist attractions, dining options, events, travel times, and transportation information.

[0769] "Tourist attractions" refer to places of interest and famous places that users are expected to visit at their travel destinations.

[0770] "Restaurant" refers to a restaurant where the user can eat at their travel destination.

[0771] "Event" refers to an activity or event that a user can participate in at a travel destination.

[0772] "Travel time" refers to the time required to travel between tourist spots, restaurants, and events.

[0773] "Transportation information" refers to detailed information about each mode of transportation, including subway and public transport timetables and route information.

[0774] "Emotion recognition means" refers to technology for analyzing emotions from a user's facial expressions, voice, text input, etc.

[0775] "Emotion data" refers to information about the user's emotions acquired by emotion recognition means.

[0776] "Tentative reservation" refers to a temporary reservation of the user's desired flight, accommodation, means of transportation, and local guide.

[0777] "Notification means" refers to technology for notifying users of tentative reservation results, change information, etc.

[0778] "Cancellation request" refers to a request made by a user to cancel a tentative reservation.

[0779] "Photo Image" refers to an image provided as a visual aid to a travel plan.

[0780] The present invention provides a travel planning and booking system that recognizes a user's emotions and provides an optimal travel plan. This system allows users to consistently manage their trip from planning to execution, and allows them to enjoy an advanced travel experience based on their emotions. This embodiment will be described in detail below.

[0781] The first thing the user does is input the travel schedule (departure date and return date) and budget. The user enters the necessary information into the input form displayed on the terminal and submits it. This input information is sent from the terminal to the server, where the following process takes place:

[0782] Hardware and Software Configuration

[0783] This system is implemented with the following hardware and software configuration.

[0784] Device: A device through which a user inputs information, including computers, smartphones, tablets, etc.

[0785] Server: Receives user input information and performs tasks such as generating travel plans, emotion recognition, and schedule optimization. A specific example is a cloud-based computing environment.

[0786] Database: Stores travel destination candidates and related information. MySQL or PostgreSQL is used.

[0787] Emotion recognition engine: Software for analyzing user emotions. Includes the Emotion AI engine.

[0788] Other APIs: APIs for integrating with reservation systems, such as Amadeus API and Skyscanner API.

[0789] Process Overview

[0790] 1. User input:

[0791] The user enters the travel schedule (departure date and return date) and budget into the input form on the terminal and clicks the submit button. For example, the user enters "Departure on December 1, 2023, return on December 5, 2023, budget 100,000 yen."

[0792] 2. Trip suggestion search:

[0793] The server queries the database based on the travel itinerary and budget data sent from the device, searching for and generating a list of domestic and international travel destinations that match the criteria.

[0794] 3. Generate a travel plan:

[0795] The server generates a detailed travel plan for each destination. This plan includes tourist spots, restaurants, events, travel time, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. Furthermore, the plan includes visually appealing photographs.

[0796] 4. Emotion recognition:

[0797] The emotion engine installed on the server analyzes the user's emotions from their facial expressions, voice, text input, etc. For example, if the user speaks with a smile, the emotion is recognized as "joy."

[0798] 5. Optimize your travel plans:

[0799] The server optimizes the travel plan based on the emotion data acquired by the emotion recognition means. If the emotion of joy is recognized, it will prioritize plans that include relaxing spas and fun events.

[0800] 6. Generate schedule:

[0801] Based on the travel plan selected by the user, the server generates a detailed schedule, including the order of visits, timeline, meal times and locations, and subway and public transportation information. The generated schedule is sent to the device, where the user can view and select from it.

[0802] 7. Making a tentative reservation:

[0803] The user makes provisional reservations for the desired flight, accommodation, transportation, and local guide. The server uses the reservation system's API to execute various provisional reservations and notifies the terminal of the results.

[0804] 8. Real-time plan changes:

[0805] When a user is planning a trip or when they change their plans, the emotion recognition system will observe the user's emotions in real time and automatically readjust the schedule or plan accordingly. For example, if the user feels tired, it will suggest changing to a spot where they can relax.

[0806] Prompt Sentence Examples

[0807] Below are some examples of prompts to input to a generative AI model.

[0808] "Let's say the user enters their travel dates (December 1st to December 5th, 2023) and budget (100,000 yen) and shows a happy expression. What kind of travel plan would you suggest under these conditions?"

[0809] As described above, the system of the present invention allows users to consistently manage their trip from planning to execution and create travel plans that are optimized for their emotions. This embodiment allows users to enjoy a more fulfilling travel experience.

[0810] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0811] Step 1:

[0812] The user enters the travel schedule (departure date and return date) and budget into the input form on the terminal. The input information is "Departure December 1, 2023, return December 5, 2023, budget 100,000 yen." After checking the input information, the user clicks the send button. The terminal sends the input from the user to the server.

[0813] Step 2:

[0814] The server queries the database based on the travel itinerary and budget data received from the device. This query searches for domestic and international travel destinations that meet the criteria and generates a list of potential travel destinations. Candidate locations such as "Tokyo, Osaka, Kyoto" are retrieved from the database. The server then sends these candidate locations in list form to the device.

[0815] Step 3:

[0816] The server generates a detailed travel plan for each destination obtained. Based on a list of potential travel destinations obtained from the user (e.g., "Kyoto"), data on tourist spots, restaurants, and events at each destination is collected. In this step, tourist spots such as "Stroll along the Kamo River," restaurants such as "Dining in Gion," and events such as "Visiting Kinkaku-ji Temple" are generated. Visually appealing photo images are also added to the generated travel plan. The travel plan data is sent to the device.

[0817] Step 4:

[0818] The user browses through the travel plan options and selects the one they like. For example, the user selects the "Kyoto plan." This selection data is sent from the terminal to the server.

[0819] Step 5:

[0820] The server generates a detailed schedule based on the data selected by the user. This schedule includes the order of visits, timelines, meal times and locations, and information on subways and public transportation. For example, it includes a detailed timeline such as "9:00 Walk along the Kamo River, 12:00 Dinner in Gion, 15:00 Visit to Kinkaku-ji Temple." The generated schedule is sent to the device, where the user can view it.

[0821] Step 6:

[0822] The server's built-in emotion recognition engine analyzes the user's emotions based on facial expressions, voice, and text input. For example, if the user smiles, this emotion is recognized as "joy." Based on this emotional data, the server optimizes the plan to match the emotion of joy, such as a relaxing spa or fun events. The optimized travel plan is then sent back to the device.

[0823] Step 7:

[0824] The user makes tentative reservations for the desired flight, accommodation, transportation, and local guide. The user inputs these reservations through the device and sends them to the server. The server executes the tentative reservation using the reservation system's API and notifies the device of the results. The tentative reservation status and full status are displayed, allowing the user to decide on the next action to take.

[0825] Step 8:

[0826] If a user experiences a change in their emotional state or physical condition while planning a trip, the system recognizes this in real time and adjusts the plan accordingly. For example, if the user feels tired, the emotion recognition engine analyzes this emotion and suggests changing to a relaxing spot. The server then sends the adjusted plan to the device, and the user applies the new plan.

[0827] Step 9:

[0828] When a user wishes to cancel a tentative reservation, they send a cancellation request from their terminal. The server accepts the cancellation request and processes the cancellation through each reservation destination system. The server notifies the terminal of the cancellation result, allowing the user to easily complete the cancellation procedure.

[0829] (Application example 2)

[0830] 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."

[0831] Conventional travel planning and reservation systems are unable to provide optimal travel plans based on the user's emotions and state, making it difficult to increase user satisfaction. Furthermore, in factory work, there is a lack of means to grasp the emotions and state of workers in real time and optimize work content and break times, making it difficult to improve productivity and manage the health of workers.

[0832] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for accepting input of travel itinerary and budget from a user; means for searching a database for multiple travel destination candidates that meet the input conditions and generating a travel plan based on the input; means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan; means for displaying the generated travel plan; means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation; means for displaying the detailed schedule; means for making provisional reservations for airplanes, hotels, rental cars, and local guides; means for notifying the user of the provisional reservation results; means for analyzing the user's facial expressions and voice to recognize the user's emotions in real time; and means for readjusting the travel plan and schedule based on the recognized emotions. This makes it possible to provide an optimal travel plan based on the user's emotions and state, and to optimize the work content and break times of factory workers based on their emotions and state.

[0833] "User" means any person or entity that uses the System to plan and book travel plans.

[0834] "Itinerary" refers to the schedule including the departure date and return date of the trip.

[0835] A "budget" refers to the maximum amount of money you can spend on a trip.

[0836] "Travel destination candidates" refer to multiple destinations suggested based on user input.

[0837] "Travel Plan" refers to a specific plan of attractions, places to eat, events, etc. for a particular travel destination.

[0838] "Tourist spots" refer to famous places and attractions that are worth visiting at a travel destination.

[0839] "Restaurant" refers to a facility that serves meals at a travel destination.

[0840] "Event" refers to any activities or activities that you can participate in at your travel destination.

[0841] "Travel time" refers to the time required for each stage or movement included in the travel plan.

[0842] "Transportation information" refers to detailed data about subways and public transportation.

[0843] A "detailed schedule" refers to a specific itinerary created based on a travel plan selected by the user.

[0844] A "tentative reservation" refers to a temporary reservation for services such as flights, hotels, rental cars, and local guides.

[0845] "Facial expression" refers to emotions expressed by the movement of the user's facial muscles.

[0846] "Voice" refers to emotions expressed through the tone, speed, and strength of the user's voice.

[0847] "Real-time" refers to processing and reflecting data in the present moment.

[0848] "Means for recognizing emotions" refers to technology that analyzes a user's emotions and determines their state.

[0849] "Recalibration" refers to changing travel plans or schedules based on perceived emotions.

[0850] This invention relates to a travel planning and reservation system, and in particular to a system that recognizes a user's emotions in real time and provides an optimal travel plan. Specifically, the system connects a wearable device such as smart glasses with a server, analyzes the user's emotions, and optimizes the travel plan or factory work schedule based on the analysis results.

[0851] First, the user enters their travel dates and budget into an input form on their device and submits it. This information is sent to the server, which then searches and extracts multiple travel destination candidates that match the criteria from a database. Based on the extracted travel destination candidates, a detailed travel plan is generated, including tourist attractions, restaurants, events, travel time, and transportation information. These plans are then displayed to the user, who can select from them.

[0852] This is where the emotion engine, a key feature of the present invention, comes into play. When a user browses or selects a travel plan while wearing the smart glasses, the camera and microphone capture the user's facial expressions and voice, and the system recognizes their emotions in real time. This emotion analysis uses image processing libraries such as OpenCV and emotion analysis libraries such as DeepFace. Based on the analysis results, the system determines whether the user is feeling joy, excitement, anxiety, fatigue, or other emotions.

[0853] For example, if a user smiles while looking at a travel plan, this is recognized as "joy." In this case, the server will prioritize adding relaxing spas and fun events to the plan. Also, if the user feels tired or stressed, the server will readjust the travel plan to suggest relaxation spots and rest times.

[0854] This approach could also be applied to factory work, where workers wear smart glasses and use cameras to capture their facial expressions and movements while they work. Using DeepFace and other emotion analysis technologies, the system can analyze the worker's emotions in real time and suggest a reduction in work load or a break if signs of fatigue are detected.

[0855] For example, if Worker A is wearing smart glasses and the emotion analysis engine detects "fatigue," the server will schedule a 10-minute break and send a notification to the smart glasses, allowing the worker to take the necessary rest immediately.

[0856] An example of an input prompt using a generative AI model is as follows:

[0857] Analyze the facial expressions and voice of factory workers wearing smart glasses to recognize their emotions in real time. Depending on their emotions, the system will notify the worker of break times and adjust their work content. For example, if a worker feels fatigued, the system will automatically suggest a 10-minute break and send a notification to the smart glasses.

[0858] This makes it possible to provide optimal travel plans that match the user's emotions and state, and to optimize work content and rest times based on the emotions and state of workers at factory sites.

[0859] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0860] Step 1:

[0861] The terminal accepts input of travel itinerary and budget from the user. An input form is displayed, and the user inputs the itinerary and budget. This input data is sent to the server.

[0862] Step 2:

[0863] The server receives the user's input data (schedule and budget). Based on the received data, it searches and extracts multiple travel destination candidates that match the conditions from the database. It then generates the extracted results (a list of travel destination candidates) and sends them to the device.

[0864] Step 3:

[0865] The terminal displays the list of travel destination candidates sent from the server to the user. The user selects a destination that interests them from the travel destination candidates. The selected data is sent to the server.

[0866] Step 4:

[0867] The server receives the user's selection data, collects tourist attractions, restaurants, events, travel time, and transportation information based on the selected travel destination, and generates a detailed travel plan based on the collected information and sends it to the terminal.

[0868] Step 5:

[0869] The terminal displays the detailed travel plan sent from the server to the user. The user selects and confirms the plan, and requests changes to the plan if necessary. The request data is sent to the server.

[0870] Step 6:

[0871] The server receives the user's request data and generates a detailed schedule based on it. The schedule includes the order in which tourist spots should be visited, a timeline, meal times and locations, and subway and public transport transfer information. The generated schedule is then sent to the device.

[0872] Step 7:

[0873] The terminal displays the detailed schedule sent from the server to the user. The user checks the schedule and makes a tentative reservation if necessary. The tentative reservation data is sent to the server.

[0874] Step 8:

[0875] The server receives the user's provisional reservation data, makes provisional reservations for flights, hotels, rental cars, and local guides, and notifies the terminal of the provisional reservation results.

[0876] Step 9:

[0877] The terminal notifies the user of the provisional reservation result sent from the server, and the user checks the provisional reservation information.

[0878] Step 10:

[0879] When a user wears the smart glasses and uses the system, the camera and microphone capture facial expressions and voice data, which are then sent to a server in real time.

[0880] Step 11:

[0881] The server analyzes the received camera and audio data to recognize the user's emotions (e.g., joy, excitement, anxiety, fatigue, etc.). Emotion analysis uses libraries such as OpenCV and DeepFace. Based on the recognized emotions, the server adjusts travel plans and schedules.

[0882] Step 12:

[0883] The server sends the re-adjusted plan or schedule to the device, and the device notifies the user of the information. The optimization is completed when the user confirms and agrees to the new plan or schedule.

[0884] The above steps make it possible to provide an optimal travel plan based on the user's emotions and state. Similarly, in factories, the same procedure can be used to optimize work content and break times based on the emotions of workers.

[0885] 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.

[0886] 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.

[0887] 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.

[0888] [Third embodiment]

[0889] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0890] 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.

[0891] 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).

[0892] 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.

[0893] 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.

[0894] 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).

[0895] 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.

[0896] 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.

[0897] 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.

[0898] 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.

[0899] 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.

[0900] 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."

[0901] The present invention relates to a travel planning and reservation system. Specifically, it is a comprehensive system that accepts travel itinerary and budget inputs from a user, proposes multiple travel destination options based on the inputs, creates a detailed schedule, and even handles tentative reservations and cancellations. An embodiment of the system is described in detail below.

[0902] The first thing the user does is input the travel schedule (departure date and return date) and budget. To do this, an input form is displayed on the terminal. When the user completes the input and presses the send button, the data is sent to the server. The server receives this data and proceeds to the next process.

[0903] The server extracts multiple travel destination candidates that meet the conditions from the database based on the received travel dates and budget. For example, if a user inputs "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server will generate a list of domestic and international travel destinations that meet those conditions.

[0904] The server then creates a detailed travel plan for each destination, including tourist attractions, restaurants, events, travel times, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. Additionally, photos of each tourist attraction and restaurant are added to the plan.

[0905] The generated travel plan is sent to the device, where the user can select it. After the user selects a specific plan or spot, the selection data is sent back to the server, which then generates a detailed schedule based on the selected plan. This schedule includes the order of visits, a specific timeline, meal times and locations, and subway and public transportation information.

[0906] Next, if the user wishes to make a tentative reservation for a flight, hotel, rental car, local guide, etc., the request is sent again to the server. The server then connects with the various reservation destination systems to make the tentative reservation. The results of the tentative reservation are notified to the terminal. If the user wishes to cancel, the cancellation request is accepted in the same manner, and the server processes the cancellation through each reservation destination system.

[0907] For example, if a user selects the "Kyoto Plan" and wishes to visit Kinkaku-ji Temple and Gion, the server will create a specific schedule based on that. This schedule includes a detailed plan to visit Kinkaku-ji Temple in the morning and have dinner in Gion in the afternoon. Transportation information is also provided, allowing the user to enjoy sightseeing efficiently.

[0908] This invention allows users to efficiently carry out a series of processes from planning to execution of a trip, thereby improving the quality of the trip. By linking the server and terminals and automating many steps, the burden on the user can be significantly reduced.

[0909] The processing flow will be explained below.

[0910] Step 1:

[0911] Terminal: Displays the initial screen for creating a travel plan and presents the user with a form to enter the travel dates (departure date and return date) and budget.

[0912] Step 2:

[0913] User: Fills in the input form with departure date, return date, and budget, and presses the "Submit" button.

[0914] Step 3:

[0915] Terminal: Sends the entered data (departure date, return date, budget) to the server.

[0916] Step 4:

[0917] Server: Receives the travel itinerary and budget data entered by the user.

[0918] Step 5:

[0919] Server: Based on the input data, the server searches the database for multiple travel destination candidates that match the conditions and extracts the results.

[0920] Step 6:

[0921] Server: For each potential travel destination, collect the following information and generate a travel plan:

[0922] Tourist attractions

[0923] Dining

[0924] event

[0925] Travel time

[0926] Traffic information

[0927] Step 7:

[0928] Server: Sends the generated travel plan and corresponding photo images to the device.

[0929] Step 8:

[0930] Terminal: Displays a list of travel plans suggested to the user, along with photo images corresponding to each plan.

[0931] Step 9:

[0932] User: Select the places they want to go or the events they want to attend from the proposed plans and press the "Decide" button.

[0933] Step 10:

[0934] Terminal: Sends the user's selection to the server.

[0935] Step 11:

[0936] Server: Generates a detailed schedule based on user selections. This schedule includes:

[0937] Order of places to visit

[0938] Timeline

[0939] Meal times and places

[0940] Subway and public transport information

[0941] Step 12:

[0942] Server: Sends the generated detailed schedule to the terminal.

[0943] Step 13:

[0944] Terminal: Displays the completed detailed schedule to the user.

[0945] Step 14:

[0946] User: Enter tentative reservations for desired flights, hotels, rental cars, local guides, etc. and press the "Book" button.

[0947] Step 15:

[0948] Terminal: Sends tentative reservation request data to the server.

[0949] Step 16:

[0950] Server: Calls the API of each reservation system and executes the tentative reservation.

[0951] Step 17:

[0952] Server: Checks whether the tentative reservation is complete or full, and sends the result to the terminal.

[0953] Step 18:

[0954] Terminal: Notifies the user of the tentative reservation result.

[0955] Step 19:

[0956] User: To cancel a tentative reservation, enter the details and press the "Cancel" button.

[0957] Step 20:

[0958] Terminal: Sends a cancellation request to the server.

[0959] Step 21:

[0960] Server: Calls the API of each reservation system and executes the cancellation process.

[0961] Step 22:

[0962] Server: Sends the cancellation result to the device.

[0963] Step 23:

[0964] Terminal: Notify the user of the cancellation result.

[0965] The above are the specific processing steps of the system according to the present invention, which allows users to easily create travel plans that meet their requirements and smoothly make or cancel reservations as needed.

[0966] Example 1

[0967] 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."

[0968] In conventional travel planning systems, it was difficult for users to find suitable travel destinations after entering their travel dates and budget, and creating detailed schedules required a lot of manual work, making it difficult to plan efficiently.Furthermore, there were issues with the burden on users when displaying travel plans, making tentative reservations, and canceling reservations.

[0969] 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.

[0970] In this invention, the server includes means for accepting input of travel itinerary and budget from a user, means for searching a database for multiple travel destination candidates that meet the input conditions and generating a travel plan based on the input, means for collecting information on tourist spots, restaurants, events, and travel times and transportation included in each travel plan from external data sources, means for displaying the generated travel plan on a terminal, means for generating a detailed schedule based on a plan selected by the user and including information on public transportation, means for displaying the detailed schedule on the terminal, means for making provisional reservations for airplanes, accommodations, cars, and local guides, and means for notifying the user of the provisional reservation results. This makes it possible to automate the entire process from planning to booking, execution, and cancellation of a trip, significantly reducing the burden on the user.

[0971] "Travel itinerary" refers to the start and end dates of a trip planned by a user.

[0972] "Budget" refers to the total amount of money a user can spend on a trip.

[0973] "Travel destination candidates" refers to a list of travel destinations that may fit the user's inputted dates and budget.

[0974] A "database" is a software system that organizes and stores information in an organized manner, allowing it to be searched and retrieved efficiently.

[0975] A "travel plan" is a plan that summarizes specific activities and places to visit at a travel destination.

[0976] "Tourist attractions" are famous places and popular locations that are recommended for travel.

[0977] A "restaurant" is a place or restaurant where you can eat while traveling.

[0978] An "event" is an event or activity held at a travel destination.

[0979] "Travel time" refers to the time it takes to travel between each leg of a trip.

[0980] "Transportation information" refers to data on public transportation operation information and means of transportation at the travel destination.

[0981] A "terminal" is a device such as a computer or smartphone that can be directly operated by a user.

[0982] A "detailed schedule" is a more specific itinerary created based on the travel plan selected by the user.

[0983] "Public transportation" refers to means of transportation available to the general public, such as buses, subways, and trains.

[0984] "Aircraft" refers to the aircraft used for travel.

[0985] "Accommodation" refers to facilities such as hotels and guesthouses where you stay while traveling.

[0986] "Automobile" refers to a vehicle such as a rental car used to travel around a travel destination.

[0987] A "local guide" is a service provider who provides tourist information at travel destinations.

[0988] A "tentative reservation" is a reservation that is temporarily held before the final reservation is confirmed.

[0989] A "cancellation request" is a request sent to the server to cancel a reservation made by a user.

[0990] MODE FOR CARRYING OUT THE INVENTION

[0991] This invention relates to a travel planning and reservation system that allows users to input their travel dates and budget, and then proposes multiple travel destination options based on the input, creating a detailed schedule. This system operates in conjunction with a server and terminals, allowing users to efficiently plan and reserve their trips.

[0992] Overall system overview

[0993] First, the user enters the travel itinerary (departure date and return date) and budget on the terminal. To do this, an input form is displayed on the terminal. Specifically, it is designed using an HTML form and JavaScript, with the itinerary entered in a calendar format and the budget entered in a numerical format. When the user has completed the input and pressed the submit button, the data is sent to the server via the HTTPS protocol.

[0994] Receiving and analyzing data

[0995] The server searches a database (e.g., MySQL, PostgreSQL) for multiple travel destination candidates that match the received travel dates and budget. For example, if a user enters "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server extracts domestic and international travel destinations that fit the criteria. This is done using an SQL query.

[0996] Generate a travel plan

[0997] The server then creates a detailed travel plan for each destination. This plan includes tourist attractions, restaurants, events, travel times, and transportation information. Additional information is obtained from external data sources (e.g., Google Maps API, TripAdvisor API). For example, a Kyoto plan might include a sightseeing route that includes visiting Kinkaku-ji Temple, dining in Gion, and strolling along the Kamo River. Photo images of each tourist attraction and restaurant are also obtained from the API and added to the plan.

[0998] View travel plans

[0999] The generated itinerary is then sent back to the device, where the user can view and select it. The itinerary is displayed using a responsive design using HTML and CSS, and detailed information is displayed when a specific itinerary is clicked.

[1000] Generate and view detailed schedules

[1001] After the user selects a specific plan or spot, the selection data is sent back to the server, which then generates a detailed schedule based on the selected plan. This schedule includes the order of visits, a specific timeline, meal times and locations, and public transportation information. This information is obtained in real time using Google Maps APIs and other tools. The generated schedule is then displayed on the user's device using HTML and JavaScript.

[1002] Tentative reservation and cancellation processing

[1003] If the user wishes to make a tentative reservation for a flight, hotel, rental car, local guide, etc., the request is sent again to the server. The server then connects with the various reservation destination systems (e.g., Amadeus API, Booking.com API) to make the tentative reservation. The results of the tentative reservation are notified to the terminal. If the user wishes to cancel, the server will accept the cancellation request using the same procedure and process the cancellation through each reservation destination system.

[1004] Specific examples and prompts for the generative AI model

[1005] For example, if a user selects the "Kyoto Plan" and wishes to visit Kinkaku-ji Temple and Gion, the server will create a specific schedule based on that. This schedule includes a detailed plan to visit Kinkaku-ji Temple in the morning and have dinner in Gion in the afternoon. Transportation information is also provided, allowing the user to enjoy sightseeing efficiently.

[1006] An example prompt for a generative AI model might look like this:

[1007] "Describe an extension to a travel planning and reservation system that suggests the best travel destinations based on the user's dates and budget, creates detailed itineraries, and allows for tentative bookings and cancellations."

[1008] As a result, the present invention provides consistent support from travel planning to booking and execution, reducing the burden on users and providing a high-quality travel experience.

[1009] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1010] Step 1:

[1011] The user enters the travel dates and budget. To do this, the device's browser displays an input form using HTML and JavaScript, and the user enters the departure date, return date, and budget in each input field. The input data is "Departure on December 1, 2023, return on December 5, 2023, budget 100,000 yen."

[1012] Step 2:

[1013] The input data is sent to the server. When the user clicks the send button, the entered itinerary and budget are sent from the terminal to the server via the HTTPS protocol. The server temporarily stores the received data. The input is the user's travel itinerary and budget data, and the output is the data received by the server.

[1014] Step 3:

[1015] The server extracts potential travel destinations. Based on the received travel itinerary and budget, the server executes an SQL query against a database (e.g., MySQL, PostgreSQL) to retrieve multiple potential travel destinations that match the conditions. For example, based on "December 1, 2023 to December 5, 2023, budget of 100,000 yen," it extracts "Kyoto, Tokyo, and Okinawa." The input is the user's itinerary and budget data, and the output is a list of potential travel destinations that match the conditions.

[1016] Step 4:

[1017] The server creates a detailed travel plan. For each destination, it collects information such as tourist spots, restaurants, events, travel time, and transportation information. Google Maps API and TripAdvisor API are used to collect the information. For example, a Kyoto plan will be created that includes "visiting Kinkaku-ji Temple, dining in Gion, and strolling along the Kamo River." The input is a list of potential travel destinations, and the output is a detailed travel plan for each destination.

[1018] Step 5:

[1019] The generated itinerary is sent to the terminal. The server delivers each generated itinerary to the terminal and displays it in a list on the terminal's browser. The user confirms each plan through the user interface. The input is a detailed itinerary, and the output is a list of itineraries displayed on the terminal.

[1020] Step 6:

[1021] The user selects a travel plan. The user selects the desired plan (e.g., Kyoto plan) from the travel plans displayed on the device screen and selects specific destinations (e.g., Kinkaku-ji Temple, Gion). The input is the travel plan selection data, and the output is the details of the plan selected by the user.

[1022] Step 7:

[1023] The selected data is sent to the server. The data selected by the user is sent back to the server from the terminal. The input is the travel plan data selected by the user, and the output is the selected data received by the server.

[1024] Step 8:

[1025] The server generates a detailed schedule. The server generates a specific action plan based on the selected data. It uses the Google Maps API to calculate real-time traffic information and travel time, and creates a specific timeline. For example, a schedule such as "Visit Kinkaku-ji Temple at 9:00, have dinner in Gion at 13:00" is generated. The input is the user's selected data, and the output is a detailed schedule.

[1026] Step 9:

[1027] The user requests a tentative reservation or cancellation. If the user checks the schedule and wishes to make a tentative reservation for a flight, hotel, rental car, or local guide, they select the appropriate service on the terminal and submit the request. Similarly, a cancellation request can also be submitted. The input is the user's tentative reservation request or cancellation request, and the output is the request received by the server.

[1028] Step 10:

[1029] The server processes tentative reservations and cancellations. Based on the received request, the server calls the APIs of various services (e.g., Amadeus API, Booking.com API) to make tentative reservations or cancellations. If the tentative reservation is successful, a reservation ID is generated and notified to the terminal. A cancellation is also processed in the same way, and the result is notified. The input is the user's tentative reservation or cancellation request, and the output is the tentative reservation or cancellation result.

[1030] (Application example 1)

[1031] 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."

[1032] Existing travel planning systems suggest travel destinations and create detailed itineraries, but they lack content related to the destinations. This makes it difficult for users to visualize their travel plans. Furthermore, the lack of a mechanism for automatically generating content related to the destinations limits the user experience.

[1033] 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.

[1034] In this invention, the server includes means for accepting input of travel itinerary and budget from a user, means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan, means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan, means for displaying the generated travel plan, means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation, means for displaying the detailed schedule, means for making provisional reservations for flights, hotels, rental cars, and local guides, means for notifying the user of the provisional reservation results, and means for generating content related to the travel destination using a generative AI model and providing the content to the user. This allows the user to create a detailed travel plan while checking specific content related to the travel plan.

[1035] "Means for accepting input of travel itinerary and budget from user" is a function that provides an interface for users to input travel itinerary (departure date and return date) and budget, and acquires the input data.

[1036] "Means for searching a database for multiple travel destination options and generating a travel plan" refers to a function that retrieves travel destination options from a database based on user input data and creates a suggested travel plan based on those options.

[1037] "Means of collecting tourist attractions, restaurants, events, and travel time and transportation information" is a function that collects information on tourist attractions, restaurants, events, etc. at each travel destination, as well as details of the time required and transportation methods.

[1038] The "means for displaying the generated itinerary" is a function that uses the device screen to visually present the generated itinerary to the user.

[1039] "A means of generating detailed schedules and including subway and public transport information" refers to a function that creates a specific visit order and timeline based on the user's selected travel plan and incorporates public transport information into it.

[1040] The "means for displaying the detailed schedule" is a function that provides an interface for displaying the created detailed schedule on the user's device.

[1041] "Means for making provisional reservations for flights, hotels, rental cars, and local guides" is a function that allows users to temporarily reserve services such as desired flights, accommodations, rental cars, and local guides.

[1042] The "means for notifying the user of the provisional reservation result" is a system or function for notifying the user's device of the provisional reservation result.

[1043] "Means for generating content related to travel destinations using a generative AI model and providing said content to users" refers to a function that automatically creates information such as videos, photos, and blog articles related to the user's travel destinations using a generative AI model and delivers them to the user.

[1044] "Means for accepting a cancellation request and processing the cancellation based on the request through each reservation destination system" is a function that receives a user's cancellation request and cancels the reservation in cooperation with each reservation destination system accordingly.

[1045] "Means for displaying photographic images corresponding to each plan" refers to a function that simultaneously displays images of relevant tourist spots, events, etc. when displaying a travel plan.

[1046] This invention relates to a travel planning and booking system that allows users to input their travel dates and budget, and based on that data, suggests optimal travel destination options, creates detailed schedules, and provides destination-related content. The system is implemented using the following hardware and software:

[1047] The server provides a means for accepting input of travel itineraries and budgets from users. Users input the itineraries and budgets via devices such as smartphones or PCs and send the data to the server.

[1048] The server then uses this data to search for multiple travel destinations that fit the criteria in the database. The server then collects information on tourist attractions, restaurants, events, travel times, and transportation information at the destination, and generates a travel plan. The collected data is processed using programs such as Python and SQL.

[1049] The generated travel plan is displayed on the user's device. The user can select the desired plan from the multiple plans generated. Based on the selected plan, the server creates a detailed schedule. This schedule includes the order in which tourist spots should be visited, a specific timeline, meal times and locations, and information on subways and public transportation.

[1050] The server further automatically generates content related to the travel destination using the generative AI model. The generated content is provided to the user as videos, blog articles, photo albums, etc. related to the travel destination. For this purpose, a generative AI model library such as ai_content_generator is used.

[1051] If the user wishes, tentative reservations are made for flights, hotels, rental cars, and local guides. The tentative reservation results are notified to the user's device. If a cancellation request is received, the server connects with the systems of each reservation destination and processes the cancellation of the reservation.

[1052] As a specific example, if a user inputs a travel itinerary from "2023-12-01" to "2023-12-05" and a budget of "100,000 yen," the server will suggest travel destinations (e.g., Kyoto) that fit the criteria. The detailed itinerary will include a visit to Kinkaku-ji Temple, meals in Gion, and information on travel time and transportation between tourist spots. Furthermore, related content (such as a video introducing the "Four Seasons of Kyoto" and a blog post about a visit to Gion) will be automatically generated and provided to the user using a generative AI model.

[1053] This system can improve the user experience by making it easier for users to plan specific trips and providing rich information about travel destinations.

[1054] Prompt Sentence Examples

[1055] {

[1056] "departure_date": "2023-12-01",

[1057] "return_date": "2023-12-05",

[1058] "budget": 100000

[1059] }

[1060] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1061] Step 1:

[1062] The user inputs and submits the travel schedule and budget using a device such as a smartphone or a personal computer.

[1063] Input: Travel dates (departure date and return date), budget

[1064] Output: User input data sent to the server

[1065] Specific operation: The user fills in the form on the terminal with the schedule and budget, then presses the submit button. The terminal then sends this data to the server.

[1066] Step 2:

[1067] Based on the data input by the user received by the server, a database is searched for multiple travel destination candidates that meet the conditions.

[1068] Input: User input data (date and budget)

[1069] Output: A list of travel destinations that match the criteria

[1070] Specific operation: The server executes an SQL query to retrieve travel destination information that matches the criteria from the database, resulting in multiple travel destination candidates.

[1071] Step 3:

[1072] The server collects tourist spots, restaurants, events, travel time and traffic information for each travel destination and generates a travel plan.

[1073] Input: List of travel destination options

[1074] Output: A detailed itinerary for each destination

[1075] Specific operation: The server collects data about the travel destination (tourist attractions, restaurants, event information, etc.) and generates a detailed travel plan using a Python program.

[1076] Step 4:

[1077] The generated travel plan is displayed on the user's terminal.

[1078] Input: Detailed travel plan

[1079] Output: Trip plan displayed on the device

[1080] Specific operation: The server sends the generated travel plan to the terminal, which displays it on the screen.

[1081] Step 5:

[1082] The user selects the desired travel plan.

[1083] Input: Travel plan selection (user action)

[1084] Output: Selected itinerary

[1085] Specific operation: The user selects the desired plan from the displayed multiple travel plans and presses the confirmation button. The device sends the selected plan to the server.

[1086] Step 6:

[1087] The server generates a detailed schedule based on the selected travel plan, including subway and public transport information.

[1088] Input: Selected travel plan

[1089] Output: Detailed schedule

[1090] What it does: Based on the selected itinerary, the server generates a specific visit sequence and timeline, adding public transport information using a Python program.

[1091] Step 7:

[1092] The server displays the detailed schedule on the user's terminal.

[1093] Input: Detailed Schedule

[1094] Output: Detailed schedule displayed on the terminal

[1095] Specific operation: The server sends detailed schedule information to the terminal, which displays it on the screen.

[1096] Step 8:

[1097] The user makes a tentative reservation for the service they desire (flight, hotel, rental car, local guide).

[1098] Input: Tentative reservation request (user action)

[1099] Output: Tentative booking result

[1100] Specific operation: The user selects the service they wish to tentatively reserve on their device and sends a request. The device then sends the data to the server, which then coordinates with various reservation systems to execute the tentative reservation. The result is then notified to the device.

[1101] Step 9:

[1102] The server generates content related to travel destinations using a generative AI model and provides it to users.

[1103] Input: Travel destination information and prompts for the generative AI model

[1104] Output: Auto-generated related content

[1105] How it works: The server uses travel destination information to prompt a generative AI model (e.g., ai_content_generator) to automatically generate content such as videos, blog posts, photo albums, etc. The generated content is then delivered to the user's device.

[1106] Prompt Sentence Examples

[1107] {

[1108] "departure_date": "2023-12-01",

[1109] "return_date": "2023-12-05",

[1110] "budget": 100000

[1111] }

[1112] 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.

[1113] The present invention relates to a travel planning and booking system, and in particular to a system with means for recognizing a user's emotions and optimizing a travel plan, the embodiments of which are described in detail below.

[1114] The first thing the user does is input the travel schedule (departure date and return date) and budget. The user enters the necessary information into the input form displayed on the terminal and submits it. This input information is sent to the server, where the following process takes place:

[1115] The server receives the travel date and budget data and searches and extracts multiple travel destination candidates that match the conditions from the database. For example, if a user enters "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server will list domestic and international travel destinations that match the conditions as candidates to display.

[1116] The server then generates a detailed travel plan for each destination. This plan includes tourist attractions, restaurants, events, travel time, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. These plans also include photographs to make them visually appealing to users.

[1117] The generated travel plan is sent to the device, where the user can view and select. After the user selects a specific plan or spot, the selection data is sent back to the server. The server generates a detailed schedule based on the selection data. This schedule includes the order of visits, a timeline, meal times and locations, and subway and public transport transfer information.

[1118] Another feature of the present invention is the incorporation of an emotion engine that recognizes the user's emotions. This emotion engine analyzes emotions from the user's facial expressions, voice, text input, etc. For example, emotions such as joy, excitement, anxiety, and fatigue can be monitored in real time, providing a means to optimize travel plans based on these emotions.

[1119] Specifically, if a user speaks to the system with a smile, and that emotion is recognized as "joy," the server will prioritize suggestions for travel plans that match that emotion, such as highly relaxing spas or fun events. It can also suggest optimal transportation methods to reduce fatigue when the user returns home.

[1120] Next, the user makes tentative reservations for the desired flight, hotel, rental car, local guide, etc. The server executes the various reservations through the reservation system's API and notifies the user of the results. The completion status or fullness of the tentative reservation can be checked instantly, allowing the user to manage the tentative reservation with peace of mind.

[1121] When users are planning or changing their travel plans, the emotion engine will observe their emotions in real time and automatically readjust their schedules and plans accordingly, providing users with a more satisfying travel experience.

[1122] For example, if a user feels tired while heading to a planned tourist spot, the emotion engine will detect that emotion and suggest changing to a more relaxing spot. This suggestion is made quickly by the server, allowing the user to enjoy themselves without straining themselves.

[1123] Finally, if the user cancels the tentative reservation, the server accepts the cancellation request and performs the cancellation process for each reservation system. The result of this process is also notified to the user, allowing them to easily complete the cancellation procedure.

[1124] In this way, the system of the present invention allows users to consistently manage their trip from planning to execution, and to create an optimal plan that suits the user's emotions. This embodiment allows users to enjoy a more fulfilling travel experience.

[1125] The processing flow will be explained below.

[1126] Step 1:

[1127] Terminal: Displays the initial screen for creating a travel plan and provides a form for the user to enter the travel dates (departure date and return date) and budget.

[1128] Step 2:

[1129] User: Fills in the input form with departure date, return date, and budget, then presses the "Submit" button.

[1130] Step 3:

[1131] Terminal: Sends the entered data (departure date, return date, budget) to the server.

[1132] Step 4:

[1133] Server: Receives travel itinerary and budget data, and searches and extracts multiple travel destination candidates that match the criteria from the database.

[1134] Step 5:

[1135] Server: For each potential travel destination, collects tourist attractions, restaurants, events, travel time, and transportation information and generates a detailed travel plan.

[1136] Step 6:

[1137] Server: Sends the generated travel plan, including the travel plan and corresponding photo images, to the device.

[1138] Step 7:

[1139] Device: Displays a list of suggested travel plans, along with corresponding photo images for each plan.

[1140] Step 8:

[1141] User: Select the places they want to go and the events they want to attend from the multiple plans presented.

[1142] Step 9:

[1143] User: Check the selected plan and spot and press the "Decide" button.

[1144] Step 10:

[1145] Terminal: Sends the user's selection to the server.

[1146] Step 11:

[1147] Server: Generates a detailed schedule based on the selected plan, including the order of visits, timeline, meal times and locations, and subway and public transport information.

[1148] Step 12:

[1149] Server: Sends the generated detailed schedule to the terminal.

[1150] Step 13:

[1151] Terminal: Displays the completed detailed schedule to the user.

[1152] Step 14:

[1153] User: Selects the desired tentative reservation for the flight, hotel, rental car, local guide, etc., enters the reservation details, and presses the "Book" button.

[1154] Step 15:

[1155] Terminal: Sends tentative reservation request data to the server.

[1156] Step 16:

[1157] Server: Calls the API of each reservation system and executes the tentative reservation.

[1158] Step 17:

[1159] Server: Checks whether the tentative reservation is complete or full, and sends the result to the terminal.

[1160] Step 18:

[1161] Terminal: Notifies the user of the tentative reservation result.

[1162] Step 19:

[1163] User: To cancel a tentative reservation, enter the details and press the "Cancel" button.

[1164] Step 20:

[1165] Terminal: Sends a cancellation request to the server.

[1166] Step 21:

[1167] Server: Calls the API of each reservation system and executes the cancellation process.

[1168] Step 22:

[1169] Server: Sends the cancellation result to the device.

[1170] Step 23:

[1171] Terminal: Notify the user of the cancellation result.

[1172] Furthermore, the processing steps incorporating the emotion engine are as follows:

[1173] Step 24:

[1174] Terminal: When a user interacts with the system, emotional data is acquired through voice input, text input, facial expression recognition, etc.

[1175] Step 25:

[1176] Server: Analyzes the acquired emotional data and recognizes the user's emotional state, such as joy, excitement, anxiety, fatigue, etc.

[1177] Step 26:

[1178] Server: Optimize the itinerary suggestions to the user based on the recognized emotion data. If joy or excitement is recognized, suggest active events and tourist spots.

[1179] Step 27:

[1180] Device: The travel plan optimized by the emotion engine is displayed to the user, prompting them to make a selection.

[1181] Step 28:

[1182] User: Select further details from the optimized plan and finalize the trip details.

[1183] Step 29:

[1184] Server: Continuously monitors the user's emotional state in real time and automatically adjusts schedules and plans as needed during the trip.

[1185] For example, if a user feels tired while traveling, the emotion engine will detect this and reschedule the trip to places and activities that will help them relax, ensuring the user always gets the experience that best suits their emotional state.

[1186] In this way, through the specific processing flow described above, the present invention can take into consideration the user's emotions and provide a more satisfying travel experience.

[1187] Example 2

[1188] 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."

[1189] Existing travel planning and reservation systems have the problem of being unable to provide optimal travel plans that reflect the user's emotions. Furthermore, there is a lack of a way for the system to recognize changes in the user's emotions and physical condition during the trip and adjust the plan accordingly in real time. This makes it difficult for users to feel satisfied with the trip planning and execution process, and often leads to stress and fatigue.

[1190] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for accepting input of travel itinerary and budget from a user; means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan; means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan; means for displaying the generated travel plan; means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation; means for displaying the detailed schedule; emotion recognition means for analyzing emotions from the user's facial expressions, voice, text input, etc.; means for optimizing the travel plan based on emotion data acquired by the emotion recognition means; means for making provisional reservations for flights, accommodations, transportation, and local guides; and means for notifying the user of the provisional reservation results. This makes it possible to provide an optimal travel plan based on the user's emotions, and realizes real-time emotion recognition during the trip and readjustment of the plan based on the emotion recognition, thereby enabling the user to have a more satisfying travel experience.

[1191] "User" refers to the individual or entity that plans and books travel.

[1192] "Travel itinerary" refers to information that allows a user to specify the start and end dates of a trip.

[1193] "Budget" refers to information that indicates the total cost that a user sets for a trip.

[1194] "Database" refers to the data structure that allows the System to store and retrieve potential travel destinations and related information.

[1195] "Travel destination candidates" refers to a list of travel destinations that meet the conditions (travel dates and budget) specified by the user.

[1196] "Travel Plan" means a detailed travel itinerary generated based on a user's requirements, including tourist attractions, dining options, events, travel times, and transportation information.

[1197] "Tourist attractions" refer to places of interest and famous places that users are expected to visit at their travel destinations.

[1198] "Restaurant" refers to a restaurant where the user can eat at their travel destination.

[1199] "Event" refers to an activity or event that a user can participate in at a travel destination.

[1200] "Travel time" refers to the time required to travel between tourist spots, restaurants, and events.

[1201] "Transportation information" refers to detailed information about each mode of transportation, including subway and public transport timetables and route information.

[1202] "Emotion recognition means" refers to technology for analyzing emotions from a user's facial expressions, voice, text input, etc.

[1203] "Emotion data" refers to information about the user's emotions acquired by emotion recognition means.

[1204] "Tentative reservation" refers to a temporary reservation of the user's desired flight, accommodation, means of transportation, and local guide.

[1205] "Notification means" refers to technology for notifying users of tentative reservation results, change information, etc.

[1206] "Cancellation request" refers to a request made by a user to cancel a tentative reservation.

[1207] "Photo Image" refers to an image provided as a visual aid to a travel plan.

[1208] The present invention provides a travel planning and booking system that recognizes a user's emotions and provides an optimal travel plan. This system allows users to consistently manage their trip from planning to execution, and allows them to enjoy an advanced travel experience based on their emotions. This embodiment will be described in detail below.

[1209] The first thing the user does is input the travel schedule (departure date and return date) and budget. The user enters the necessary information into the input form displayed on the terminal and submits it. This input information is sent from the terminal to the server, where the following process takes place:

[1210] Hardware and Software Configuration

[1211] This system is implemented with the following hardware and software configuration.

[1212] Device: A device through which a user inputs information, including computers, smartphones, tablets, etc.

[1213] Server: Receives user input information and performs tasks such as generating travel plans, emotion recognition, and schedule optimization. A specific example is a cloud-based computing environment.

[1214] Database: Stores travel destination candidates and related information. MySQL or PostgreSQL is used.

[1215] Emotion recognition engine: Software for analyzing user emotions. Includes the Emotion AI engine.

[1216] Other APIs: APIs for integrating with reservation systems, such as Amadeus API and Skyscanner API.

[1217] Process Overview

[1218] 1. User input:

[1219] The user enters the travel schedule (departure date and return date) and budget into the input form on the terminal and clicks the submit button. For example, the user enters "Departure on December 1, 2023, return on December 5, 2023, budget 100,000 yen."

[1220] 2. Trip suggestion search:

[1221] The server queries the database based on the travel itinerary and budget data sent from the device, searching for and generating a list of domestic and international travel destinations that match the criteria.

[1222] 3. Generate a travel plan:

[1223] The server generates a detailed travel plan for each destination. This plan includes tourist spots, restaurants, events, travel time, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. Furthermore, the plan includes visually appealing photographs.

[1224] 4. Emotion recognition:

[1225] The emotion engine installed on the server analyzes the user's emotions from their facial expressions, voice, text input, etc. For example, if the user speaks with a smile, the emotion is recognized as "joy."

[1226] 5. Optimize your travel plans:

[1227] The server optimizes the travel plan based on the emotion data acquired by the emotion recognition means. If the emotion of joy is recognized, it will prioritize plans that include relaxing spas and fun events.

[1228] 6. Generate schedule:

[1229] Based on the travel plan selected by the user, the server generates a detailed schedule, including the order of visits, timeline, meal times and locations, and subway and public transportation information. The generated schedule is sent to the device, where the user can view and select from it.

[1230] 7. Making a tentative reservation:

[1231] The user makes provisional reservations for the desired flight, accommodation, transportation, and local guide. The server uses the reservation system's API to execute various provisional reservations and notifies the terminal of the results.

[1232] 8. Real-time plan changes:

[1233] When a user is planning a trip or when they change their plans, the emotion recognition system will observe the user's emotions in real time and automatically readjust the schedule or plan accordingly. For example, if the user feels tired, it will suggest changing to a spot where they can relax.

[1234] Prompt Sentence Examples

[1235] Below are some examples of prompts to input to a generative AI model.

[1236] "Let's say the user enters their travel dates (December 1st to December 5th, 2023) and budget (100,000 yen) and shows a happy expression. What kind of travel plan would you suggest under these conditions?"

[1237] As described above, the system of the present invention allows users to consistently manage their trip from planning to execution and create travel plans that are optimized for their emotions. This embodiment allows users to enjoy a more fulfilling travel experience.

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

[1239] Step 1:

[1240] The user enters the travel schedule (departure date and return date) and budget into the input form on the terminal. The input information is "Departure December 1, 2023, return December 5, 2023, budget 100,000 yen." After checking the input information, the user clicks the send button. The terminal sends the input from the user to the server.

[1241] Step 2:

[1242] The server queries the database based on the travel itinerary and budget data received from the device. This query searches for domestic and international travel destinations that meet the criteria and generates a list of potential travel destinations. Candidate locations such as "Tokyo, Osaka, Kyoto" are retrieved from the database. The server then sends these candidate locations in list form to the device.

[1243] Step 3:

[1244] The server generates a detailed travel plan for each destination obtained. Based on a list of potential travel destinations obtained from the user (e.g., "Kyoto"), data on tourist spots, restaurants, and events at each destination is collected. In this step, tourist spots such as "Stroll along the Kamo River," restaurants such as "Dining in Gion," and events such as "Visiting Kinkaku-ji Temple" are generated. Visually appealing photo images are also added to the generated travel plan. The travel plan data is sent to the device.

[1245] Step 4:

[1246] The user browses through the travel plan options and selects the one they like. For example, the user selects the "Kyoto plan." This selection data is sent from the terminal to the server.

[1247] Step 5:

[1248] The server generates a detailed schedule based on the data selected by the user. This schedule includes the order of visits, timelines, meal times and locations, and information on subways and public transportation. For example, it includes a detailed timeline such as "9:00 Walk along the Kamo River, 12:00 Dinner in Gion, 15:00 Visit to Kinkaku-ji Temple." The generated schedule is sent to the device, where the user can view it.

[1249] Step 6:

[1250] The server's built-in emotion recognition engine analyzes the user's emotions based on facial expressions, voice, and text input. For example, if the user smiles, this emotion is recognized as "joy." Based on this emotional data, the server optimizes the plan to match the emotion of joy, such as a relaxing spa or fun events. The optimized travel plan is then sent back to the device.

[1251] Step 7:

[1252] The user makes tentative reservations for the desired flight, accommodation, transportation, and local guide. The user inputs these reservations through the device and sends them to the server. The server executes the tentative reservation using the reservation system's API and notifies the device of the results. The tentative reservation status and full status are displayed, allowing the user to decide on the next action to take.

[1253] Step 8:

[1254] If a user experiences a change in their emotional state or physical condition while planning a trip, the system recognizes this in real time and adjusts the plan accordingly. For example, if the user feels tired, the emotion recognition engine analyzes this emotion and suggests changing to a relaxing spot. The server then sends the adjusted plan to the device, and the user applies the new plan.

[1255] Step 9:

[1256] When a user wishes to cancel a tentative reservation, they send a cancellation request from their terminal. The server accepts the cancellation request and processes the cancellation through each reservation destination system. The server notifies the terminal of the cancellation result, allowing the user to easily complete the cancellation procedure.

[1257] (Application example 2)

[1258] 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."

[1259] Conventional travel planning and reservation systems are unable to provide optimal travel plans based on the user's emotions and state, making it difficult to increase user satisfaction. Furthermore, in factory work, there is a lack of means to grasp the emotions and state of workers in real time and optimize work content and break times, making it difficult to improve productivity and manage the health of workers.

[1260] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for accepting input of travel itinerary and budget from a user; means for searching a database for multiple travel destination candidates that meet the input conditions and generating a travel plan based on the input; means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan; means for displaying the generated travel plan; means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation; means for displaying the detailed schedule; means for making provisional reservations for airplanes, hotels, rental cars, and local guides; means for notifying the user of the provisional reservation results; means for analyzing the user's facial expressions and voice to recognize the user's emotions in real time; and means for readjusting the travel plan and schedule based on the recognized emotions. This makes it possible to provide an optimal travel plan based on the user's emotions and state, and to optimize the work content and break times of factory workers based on their emotions and state.

[1261] "User" means any person or entity that uses the System to plan and book travel plans.

[1262] "Itinerary" refers to the schedule including the departure date and return date of the trip.

[1263] A "budget" refers to the maximum amount of money you can spend on a trip.

[1264] "Travel destination candidates" refer to multiple destinations suggested based on user input.

[1265] "Travel Plan" refers to a specific plan of attractions, places to eat, events, etc. for a particular travel destination.

[1266] "Tourist spots" refer to famous places and attractions that are worth visiting at a travel destination.

[1267] "Restaurant" refers to a facility that serves meals at a travel destination.

[1268] "Event" refers to any activities or activities that you can participate in at your travel destination.

[1269] "Travel time" refers to the time required for each stage or movement included in the travel plan.

[1270] "Transportation information" refers to detailed data about subways and public transportation.

[1271] A "detailed schedule" refers to a specific itinerary created based on a travel plan selected by the user.

[1272] A "tentative reservation" refers to a temporary reservation for services such as flights, hotels, rental cars, and local guides.

[1273] "Facial expression" refers to emotions expressed by the movement of the user's facial muscles.

[1274] "Voice" refers to emotions expressed through the tone, speed, and strength of the user's voice.

[1275] "Real-time" refers to processing and reflecting data in the present moment.

[1276] "Means for recognizing emotions" refers to technology that analyzes a user's emotions and determines their state.

[1277] "Recalibration" refers to changing travel plans or schedules based on perceived emotions.

[1278] This invention relates to a travel planning and reservation system, and in particular to a system that recognizes a user's emotions in real time and provides an optimal travel plan. Specifically, the system connects a wearable device such as smart glasses with a server, analyzes the user's emotions, and optimizes the travel plan or factory work schedule based on the analysis results.

[1279] First, the user enters their travel dates and budget into an input form on their device and submits it. This information is sent to the server, which then searches and extracts multiple travel destination candidates that match the criteria from a database. Based on the extracted travel destination candidates, a detailed travel plan is generated, including tourist attractions, restaurants, events, travel time, and transportation information. These plans are then displayed to the user, who can select from them.

[1280] This is where the emotion engine, a key feature of the present invention, comes into play. When a user browses or selects a travel plan while wearing the smart glasses, the camera and microphone capture the user's facial expressions and voice, and the system recognizes their emotions in real time. This emotion analysis uses image processing libraries such as OpenCV and emotion analysis libraries such as DeepFace. Based on the analysis results, the system determines whether the user is feeling joy, excitement, anxiety, fatigue, or other emotions.

[1281] For example, if a user smiles while looking at a travel plan, this is recognized as "joy." In this case, the server will prioritize adding relaxing spas and fun events to the plan. Also, if the user feels tired or stressed, the server will readjust the travel plan to suggest relaxation spots and rest times.

[1282] This approach could also be applied to factory work, where workers wear smart glasses and use cameras to capture their facial expressions and movements while they work. Using DeepFace and other emotion analysis technologies, the system can analyze the worker's emotions in real time and suggest a reduction in work load or a break if signs of fatigue are detected.

[1283] For example, if Worker A is wearing smart glasses and the emotion analysis engine detects "fatigue," the server will schedule a 10-minute break and send a notification to the smart glasses, allowing the worker to take the necessary rest immediately.

[1284] An example of an input prompt using a generative AI model is as follows:

[1285] Analyze the facial expressions and voice of factory workers wearing smart glasses to recognize their emotions in real time. Depending on their emotions, the system will notify the worker of break times and adjust their work content. For example, if a worker feels fatigued, the system will automatically suggest a 10-minute break and send a notification to the smart glasses.

[1286] This makes it possible to provide optimal travel plans that match the user's emotions and state, and to optimize work content and rest times based on the emotions and state of workers at factory sites.

[1287] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1288] Step 1:

[1289] The terminal accepts input of travel itinerary and budget from the user. An input form is displayed, and the user inputs the itinerary and budget. This input data is sent to the server.

[1290] Step 2:

[1291] The server receives the user's input data (schedule and budget). Based on the received data, it searches and extracts multiple travel destination candidates that match the conditions from the database. It then generates the extracted results (a list of travel destination candidates) and sends them to the device.

[1292] Step 3:

[1293] The terminal displays the list of travel destination candidates sent from the server to the user. The user selects a destination that interests them from the travel destination candidates. The selected data is sent to the server.

[1294] Step 4:

[1295] The server receives the user's selection data, collects tourist attractions, restaurants, events, travel time, and transportation information based on the selected travel destination, and generates a detailed travel plan based on the collected information and sends it to the terminal.

[1296] Step 5:

[1297] The terminal displays the detailed travel plan sent from the server to the user. The user selects and confirms the plan, and requests changes to the plan if necessary. The request data is sent to the server.

[1298] Step 6:

[1299] The server receives the user's request data and generates a detailed schedule based on it. The schedule includes the order in which tourist spots should be visited, a timeline, meal times and locations, and subway and public transport transfer information. The generated schedule is then sent to the device.

[1300] Step 7:

[1301] The terminal displays the detailed schedule sent from the server to the user. The user checks the schedule and makes a tentative reservation if necessary. The tentative reservation data is sent to the server.

[1302] Step 8:

[1303] The server receives the user's provisional reservation data, makes provisional reservations for flights, hotels, rental cars, and local guides, and notifies the terminal of the provisional reservation results.

[1304] Step 9:

[1305] The terminal notifies the user of the provisional reservation result sent from the server, and the user checks the provisional reservation information.

[1306] Step 10:

[1307] When a user wears the smart glasses and uses the system, the camera and microphone capture facial expressions and voice data, which are then sent to a server in real time.

[1308] Step 11:

[1309] The server analyzes the received camera and audio data to recognize the user's emotions (e.g., joy, excitement, anxiety, fatigue, etc.). Emotion analysis uses libraries such as OpenCV and DeepFace. Based on the recognized emotions, the server adjusts travel plans and schedules.

[1310] Step 12:

[1311] The server sends the re-adjusted plan or schedule to the device, and the device notifies the user of the information. The optimization is completed when the user confirms and agrees to the new plan or schedule.

[1312] The above steps make it possible to provide an optimal travel plan based on the user's emotions and state. Similarly, in factories, the same procedure can be used to optimize work content and break times based on the emotions of workers.

[1313] 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.

[1314] 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.

[1315] 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.

[1316] [Fourth embodiment]

[1317] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1318] 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.

[1319] 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).

[1320] 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.

[1321] 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.

[1322] 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).

[1323] 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.

[1324] 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.

[1325] 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.

[1326] 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.

[1327] 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.

[1328] 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.

[1329] 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."

[1330] The present invention relates to a travel planning and reservation system. Specifically, it is a comprehensive system that accepts travel itinerary and budget inputs from a user, proposes multiple travel destination options based on the inputs, creates a detailed schedule, and even handles tentative reservations and cancellations. An embodiment of the system is described in detail below.

[1331] The first thing the user does is input the travel schedule (departure date and return date) and budget. To do this, an input form is displayed on the terminal. When the user completes the input and presses the send button, the data is sent to the server. The server receives this data and proceeds to the next process.

[1332] The server extracts multiple travel destination candidates that meet the conditions from the database based on the received travel dates and budget. For example, if a user inputs "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server will generate a list of domestic and international travel destinations that meet those conditions.

[1333] The server then creates a detailed travel plan for each destination, including tourist attractions, restaurants, events, travel times, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. Additionally, photos of each tourist attraction and restaurant are added to the plan.

[1334] The generated travel plan is sent to the device, where the user can select it. After the user selects a specific plan or spot, the selection data is sent back to the server, which then generates a detailed schedule based on the selected plan. This schedule includes the order of visits, a specific timeline, meal times and locations, and subway and public transportation information.

[1335] Next, if the user wishes to make a tentative reservation for a flight, hotel, rental car, local guide, etc., the request is sent again to the server. The server then connects with the various reservation destination systems to make the tentative reservation. The results of the tentative reservation are notified to the terminal. If the user wishes to cancel, the cancellation request is accepted in the same manner, and the server processes the cancellation through each reservation destination system.

[1336] For example, if a user selects the "Kyoto Plan" and wishes to visit Kinkaku-ji Temple and Gion, the server will create a specific schedule based on that. This schedule includes a detailed plan to visit Kinkaku-ji Temple in the morning and have dinner in Gion in the afternoon. Transportation information is also provided, allowing the user to enjoy sightseeing efficiently.

[1337] This invention allows users to efficiently carry out a series of processes from planning to execution of a trip, thereby improving the quality of the trip. By linking the server and terminals and automating many steps, the burden on the user can be significantly reduced.

[1338] The processing flow will be explained below.

[1339] Step 1:

[1340] Terminal: Displays the initial screen for creating a travel plan and presents the user with a form to enter the travel dates (departure date and return date) and budget.

[1341] Step 2:

[1342] User: Fills in the input form with departure date, return date, and budget, and presses the "Submit" button.

[1343] Step 3:

[1344] Terminal: Sends the entered data (departure date, return date, budget) to the server.

[1345] Step 4:

[1346] Server: Receives the travel itinerary and budget data entered by the user.

[1347] Step 5:

[1348] Server: Based on the input data, the server searches the database for multiple travel destination candidates that match the conditions and extracts the results.

[1349] Step 6:

[1350] Server: For each potential travel destination, collect the following information and generate a travel plan:

[1351] Tourist attractions

[1352] Dining

[1353] event

[1354] Travel time

[1355] Traffic information

[1356] Step 7:

[1357] Server: Sends the generated travel plan and corresponding photo images to the device.

[1358] Step 8:

[1359] Terminal: Displays a list of travel plans suggested to the user, along with photo images corresponding to each plan.

[1360] Step 9:

[1361] User: Select the places they want to go or the events they want to attend from the proposed plans and press the "Decide" button.

[1362] Step 10:

[1363] Terminal: Sends the user's selection to the server.

[1364] Step 11:

[1365] Server: Generates a detailed schedule based on user selections. This schedule includes:

[1366] Order of places to visit

[1367] Timeline

[1368] Meal times and places

[1369] Subway and public transport information

[1370] Step 12:

[1371] Server: Sends the generated detailed schedule to the terminal.

[1372] Step 13:

[1373] Terminal: Displays the completed detailed schedule to the user.

[1374] Step 14:

[1375] User: Enter tentative reservations for desired flights, hotels, rental cars, local guides, etc. and press the "Book" button.

[1376] Step 15:

[1377] Terminal: Sends tentative reservation request data to the server.

[1378] Step 16:

[1379] Server: Calls the API of each reservation system and executes the tentative reservation.

[1380] Step 17:

[1381] Server: Checks whether the tentative reservation is complete or full, and sends the result to the terminal.

[1382] Step 18:

[1383] Terminal: Notifies the user of the tentative reservation result.

[1384] Step 19:

[1385] User: To cancel a tentative reservation, enter the details and press the "Cancel" button.

[1386] Step 20:

[1387] Terminal: Sends a cancellation request to the server.

[1388] Step 21:

[1389] Server: Calls the API of each reservation system and executes the cancellation process.

[1390] Step 22:

[1391] Server: Sends the cancellation result to the device.

[1392] Step 23:

[1393] Terminal: Notify the user of the cancellation result.

[1394] The above are the specific processing steps of the system according to the present invention, which allows users to easily create travel plans that meet their requirements and smoothly make or cancel reservations as needed.

[1395] Example 1

[1396] 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."

[1397] In conventional travel planning systems, it was difficult for users to find suitable travel destinations after entering their travel dates and budget, and creating detailed schedules required a lot of manual work, making it difficult to plan efficiently.Furthermore, there were issues with the burden on users when displaying travel plans, making tentative reservations, and canceling reservations.

[1398] 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.

[1399] In this invention, the server includes means for accepting input of travel itinerary and budget from a user, means for searching a database for multiple travel destination candidates that meet the input conditions and generating a travel plan based on the input, means for collecting information on tourist spots, restaurants, events, and travel times and transportation included in each travel plan from external data sources, means for displaying the generated travel plan on a terminal, means for generating a detailed schedule based on a plan selected by the user and including information on public transportation, means for displaying the detailed schedule on the terminal, means for making provisional reservations for airplanes, accommodations, cars, and local guides, and means for notifying the user of the provisional reservation results. This makes it possible to automate the entire process from planning to booking, execution, and cancellation of a trip, significantly reducing the burden on the user.

[1400] "Travel itinerary" refers to the start and end dates of a trip planned by a user.

[1401] "Budget" refers to the total amount of money a user can spend on a trip.

[1402] "Travel destination candidates" refers to a list of travel destinations that may fit the user's inputted dates and budget.

[1403] A "database" is a software system that organizes and stores information in an organized manner, allowing it to be searched and retrieved efficiently.

[1404] A "travel plan" is a plan that summarizes specific activities and places to visit at a travel destination.

[1405] "Tourist attractions" are famous places and popular locations that are recommended for travel.

[1406] A "restaurant" is a place or restaurant where you can eat while traveling.

[1407] An "event" is an event or activity held at a travel destination.

[1408] "Travel time" refers to the time it takes to travel between each leg of a trip.

[1409] "Transportation information" refers to data on public transportation operation information and means of transportation at the travel destination.

[1410] A "terminal" is a device such as a computer or smartphone that can be directly operated by a user.

[1411] A "detailed schedule" is a more specific itinerary created based on the travel plan selected by the user.

[1412] "Public transportation" refers to means of transportation available to the general public, such as buses, subways, and trains.

[1413] "Aircraft" refers to the aircraft used for travel.

[1414] "Accommodation" refers to facilities such as hotels and guesthouses where you stay while traveling.

[1415] "Automobile" refers to a vehicle such as a rental car used to travel around a travel destination.

[1416] A "local guide" is a service provider who provides tourist information at travel destinations.

[1417] A "tentative reservation" is a reservation that is temporarily held before the final reservation is confirmed.

[1418] A "cancellation request" is a request sent to the server to cancel a reservation made by a user.

[1419] MODE FOR CARRYING OUT THE INVENTION

[1420] This invention relates to a travel planning and reservation system that allows users to input their travel dates and budget, and then proposes multiple travel destination options based on the input, creating a detailed schedule. This system operates in conjunction with a server and terminals, allowing users to efficiently plan and reserve their trips.

[1421] Overall system overview

[1422] First, the user enters the travel itinerary (departure date and return date) and budget on the terminal. To do this, an input form is displayed on the terminal. Specifically, it is designed using an HTML form and JavaScript, with the itinerary entered in a calendar format and the budget entered in a numerical format. When the user has completed the input and pressed the submit button, the data is sent to the server via the HTTPS protocol.

[1423] Receiving and analyzing data

[1424] The server searches a database (e.g., MySQL, PostgreSQL) for multiple travel destination candidates that match the received travel dates and budget. For example, if a user enters "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server extracts domestic and international travel destinations that fit the criteria. This is done using an SQL query.

[1425] Generate a travel plan

[1426] The server then creates a detailed travel plan for each destination. This plan includes tourist attractions, restaurants, events, travel times, and transportation information. Additional information is obtained from external data sources (e.g., Google Maps API, TripAdvisor API). For example, a Kyoto plan might include a sightseeing route that includes visiting Kinkaku-ji Temple, dining in Gion, and strolling along the Kamo River. Photo images of each tourist attraction and restaurant are also obtained from the API and added to the plan.

[1427] View travel plans

[1428] The generated itinerary is then sent back to the device, where the user can view and select it. The itinerary is displayed using a responsive design using HTML and CSS, and detailed information is displayed when a specific itinerary is clicked.

[1429] Generate and view detailed schedules

[1430] After the user selects a specific plan or spot, the selection data is sent back to the server, which then generates a detailed schedule based on the selected plan. This schedule includes the order of visits, a specific timeline, meal times and locations, and public transportation information. This information is obtained in real time using Google Maps APIs and other tools. The generated schedule is then displayed on the user's device using HTML and JavaScript.

[1431] Tentative reservation and cancellation processing

[1432] If the user wishes to make a tentative reservation for a flight, hotel, rental car, local guide, etc., the request is sent again to the server. The server then connects with the various reservation destination systems (e.g., Amadeus API, Booking.com API) to make the tentative reservation. The results of the tentative reservation are notified to the terminal. If the user wishes to cancel, the server will accept the cancellation request using the same procedure and process the cancellation through each reservation destination system.

[1433] Specific examples and prompts for the generative AI model

[1434] For example, if a user selects the "Kyoto Plan" and wishes to visit Kinkaku-ji Temple and Gion, the server will create a specific schedule based on that. This schedule includes a detailed plan to visit Kinkaku-ji Temple in the morning and have dinner in Gion in the afternoon. Transportation information is also provided, allowing the user to enjoy sightseeing efficiently.

[1435] An example prompt for a generative AI model might look like this:

[1436] "Describe an extension to a travel planning and reservation system that suggests the best travel destinations based on the user's dates and budget, creates detailed itineraries, and allows for tentative bookings and cancellations."

[1437] As a result, the present invention provides consistent support from travel planning to booking and execution, reducing the burden on users and providing a high-quality travel experience.

[1438] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1439] Step 1:

[1440] The user enters the travel dates and budget. To do this, the device's browser displays an input form using HTML and JavaScript, and the user enters the departure date, return date, and budget in each input field. The input data is "Departure on December 1, 2023, return on December 5, 2023, budget 100,000 yen."

[1441] Step 2:

[1442] The input data is sent to the server. When the user clicks the send button, the entered itinerary and budget are sent from the terminal to the server via the HTTPS protocol. The server temporarily stores the received data. The input is the user's travel itinerary and budget data, and the output is the data received by the server.

[1443] Step 3:

[1444] The server extracts potential travel destinations. Based on the received travel itinerary and budget, the server executes an SQL query against a database (e.g., MySQL, PostgreSQL) to retrieve multiple potential travel destinations that match the conditions. For example, based on "December 1, 2023 to December 5, 2023, budget of 100,000 yen," it extracts "Kyoto, Tokyo, and Okinawa." The input is the user's itinerary and budget data, and the output is a list of potential travel destinations that match the conditions.

[1445] Step 4:

[1446] The server creates a detailed travel plan. For each destination, it collects information such as tourist spots, restaurants, events, travel time, and transportation information. Google Maps API and TripAdvisor API are used to collect the information. For example, a Kyoto plan will be created that includes "visiting Kinkaku-ji Temple, dining in Gion, and strolling along the Kamo River." The input is a list of potential travel destinations, and the output is a detailed travel plan for each destination.

[1447] Step 5:

[1448] The generated itinerary is sent to the terminal. The server delivers each generated itinerary to the terminal and displays it in a list on the terminal's browser. The user confirms each plan through the user interface. The input is a detailed itinerary, and the output is a list of itineraries displayed on the terminal.

[1449] Step 6:

[1450] The user selects a travel plan. The user selects the desired plan (e.g., Kyoto plan) from the travel plans displayed on the device screen and selects specific destinations (e.g., Kinkaku-ji Temple, Gion). The input is the travel plan selection data, and the output is the details of the plan selected by the user.

[1451] Step 7:

[1452] The selected data is sent to the server. The data selected by the user is sent back to the server from the terminal. The input is the travel plan data selected by the user, and the output is the selected data received by the server.

[1453] Step 8:

[1454] The server generates a detailed schedule. The server generates a specific action plan based on the selected data. It uses the Google Maps API to calculate real-time traffic information and travel time, and creates a specific timeline. For example, a schedule such as "Visit Kinkaku-ji Temple at 9:00, have dinner in Gion at 13:00" is generated. The input is the user's selected data, and the output is a detailed schedule.

[1455] Step 9:

[1456] The user requests a tentative reservation or cancellation. If the user checks the schedule and wishes to make a tentative reservation for a flight, hotel, rental car, or local guide, they select the appropriate service on the terminal and submit the request. Similarly, a cancellation request can also be submitted. The input is the user's tentative reservation request or cancellation request, and the output is the request received by the server.

[1457] Step 10:

[1458] The server processes tentative reservations and cancellations. Based on the received request, the server calls the APIs of various services (e.g., Amadeus API, Booking.com API) to make tentative reservations or cancellations. If the tentative reservation is successful, a reservation ID is generated and notified to the terminal. A cancellation is also processed in the same way, and the result is notified. The input is the user's tentative reservation or cancellation request, and the output is the tentative reservation or cancellation result.

[1459] (Application example 1)

[1460] 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."

[1461] Existing travel planning systems suggest travel destinations and create detailed itineraries, but they lack content related to the destinations. This makes it difficult for users to visualize their travel plans. Furthermore, the lack of a mechanism for automatically generating content related to the destinations limits the user experience.

[1462] 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.

[1463] In this invention, the server includes means for accepting input of travel itinerary and budget from a user, means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan, means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan, means for displaying the generated travel plan, means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation, means for displaying the detailed schedule, means for making provisional reservations for flights, hotels, rental cars, and local guides, means for notifying the user of the provisional reservation results, and means for generating content related to the travel destination using a generative AI model and providing the content to the user. This allows the user to create a detailed travel plan while checking specific content related to the travel plan.

[1464] "Means for accepting input of travel itinerary and budget from user" is a function that provides an interface for users to input travel itinerary (departure date and return date) and budget, and acquires the input data.

[1465] "Means for searching a database for multiple travel destination options and generating a travel plan" refers to a function that retrieves travel destination options from a database based on user input data and creates a suggested travel plan based on those options.

[1466] "Means of collecting tourist attractions, restaurants, events, and travel time and transportation information" is a function that collects information on tourist attractions, restaurants, events, etc. at each travel destination, as well as details of the time required and transportation methods.

[1467] The "means for displaying the generated itinerary" is a function that uses the device screen to visually present the generated itinerary to the user.

[1468] "A means of generating detailed schedules and including subway and public transport information" refers to a function that creates a specific visit order and timeline based on the user's selected travel plan and incorporates public transport information into it.

[1469] The "means for displaying the detailed schedule" is a function that provides an interface for displaying the created detailed schedule on the user's device.

[1470] "Means for making provisional reservations for flights, hotels, rental cars, and local guides" is a function that allows users to temporarily reserve services such as desired flights, accommodations, rental cars, and local guides.

[1471] The "means for notifying the user of the provisional reservation result" is a system or function for notifying the user's device of the provisional reservation result.

[1472] "Means for generating content related to travel destinations using a generative AI model and providing said content to users" refers to a function that automatically creates information such as videos, photos, and blog articles related to the user's travel destinations using a generative AI model and delivers them to the user.

[1473] "Means for accepting a cancellation request and processing the cancellation based on the request through each reservation destination system" is a function that receives a user's cancellation request and cancels the reservation in cooperation with each reservation destination system accordingly.

[1474] "Means for displaying photographic images corresponding to each plan" refers to a function that simultaneously displays images of relevant tourist spots, events, etc. when displaying a travel plan.

[1475] This invention relates to a travel planning and booking system that allows users to input their travel dates and budget, and based on that data, suggests optimal travel destination options, creates detailed schedules, and provides destination-related content. The system is implemented using the following hardware and software:

[1476] The server provides a means for accepting input of travel itineraries and budgets from users. Users input the itineraries and budgets via devices such as smartphones or PCs and send the data to the server.

[1477] The server then uses this data to search for multiple travel destinations that fit the criteria in the database. The server then collects information on tourist attractions, restaurants, events, travel times, and transportation information at the destination, and generates a travel plan. The collected data is processed using programs such as Python and SQL.

[1478] The generated travel plan is displayed on the user's device. The user can select the desired plan from the multiple plans generated. Based on the selected plan, the server creates a detailed schedule. This schedule includes the order in which tourist spots should be visited, a specific timeline, meal times and locations, and information on subways and public transportation.

[1479] The server further automatically generates content related to the travel destination using the generative AI model. The generated content is provided to the user as videos, blog articles, photo albums, etc. related to the travel destination. For this purpose, a generative AI model library such as ai_content_generator is used.

[1480] If the user wishes, tentative reservations are made for flights, hotels, rental cars, and local guides. The tentative reservation results are notified to the user's device. If a cancellation request is received, the server connects with the systems of each reservation destination and processes the cancellation of the reservation.

[1481] As a specific example, if a user inputs a travel itinerary from "2023-12-01" to "2023-12-05" and a budget of "100,000 yen," the server will suggest travel destinations (e.g., Kyoto) that fit the criteria. The detailed itinerary will include a visit to Kinkaku-ji Temple, meals in Gion, and information on travel time and transportation between tourist spots. Furthermore, related content (such as a video introducing the "Four Seasons of Kyoto" and a blog post about a visit to Gion) will be automatically generated and provided to the user using a generative AI model.

[1482] This system can improve the user experience by making it easier for users to plan specific trips and providing rich information about travel destinations.

[1483] Prompt Sentence Examples

[1484] {

[1485] "departure_date": "2023-12-01",

[1486] "return_date": "2023-12-05",

[1487] "budget": 100000

[1488] }

[1489] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1490] Step 1:

[1491] The user inputs and submits the travel schedule and budget using a device such as a smartphone or a personal computer.

[1492] Input: Travel dates (departure date and return date), budget

[1493] Output: User input data sent to the server

[1494] Specific operation: The user fills in the form on the terminal with the schedule and budget, then presses the submit button. The terminal then sends this data to the server.

[1495] Step 2:

[1496] Based on the data input by the user received by the server, a database is searched for multiple travel destination candidates that meet the conditions.

[1497] Input: User input data (date and budget)

[1498] Output: A list of travel destinations that match the criteria

[1499] Specific operation: The server executes an SQL query to retrieve travel destination information that matches the criteria from the database, resulting in multiple travel destination candidates.

[1500] Step 3:

[1501] The server collects tourist spots, restaurants, events, travel time and traffic information for each travel destination and generates a travel plan.

[1502] Input: List of travel destination options

[1503] Output: A detailed itinerary for each destination

[1504] Specific operation: The server collects data about the travel destination (tourist attractions, restaurants, event information, etc.) and generates a detailed travel plan using a Python program.

[1505] Step 4:

[1506] The generated travel plan is displayed on the user's terminal.

[1507] Input: Detailed travel plan

[1508] Output: Trip plan displayed on the device

[1509] Specific operation: The server sends the generated travel plan to the terminal, which displays it on the screen.

[1510] Step 5:

[1511] The user selects the desired travel plan.

[1512] Input: Travel plan selection (user action)

[1513] Output: Selected itinerary

[1514] Specific operation: The user selects the desired plan from the displayed multiple travel plans and presses the confirmation button. The device sends the selected plan to the server.

[1515] Step 6:

[1516] The server generates a detailed schedule based on the selected travel plan, including subway and public transport information.

[1517] Input: Selected travel plan

[1518] Output: Detailed schedule

[1519] What it does: Based on the selected itinerary, the server generates a specific visit sequence and timeline, adding public transport information using a Python program.

[1520] Step 7:

[1521] The server displays the detailed schedule on the user's terminal.

[1522] Input: Detailed Schedule

[1523] Output: Detailed schedule displayed on the terminal

[1524] Specific operation: The server sends detailed schedule information to the terminal, which displays it on the screen.

[1525] Step 8:

[1526] The user makes a tentative reservation for the service they desire (flight, hotel, rental car, local guide).

[1527] Input: Tentative reservation request (user action)

[1528] Output: Tentative booking result

[1529] Specific operation: The user selects the service they wish to tentatively reserve on their device and sends a request. The device then sends the data to the server, which then coordinates with various reservation systems to execute the tentative reservation. The result is then notified to the device.

[1530] Step 9:

[1531] The server generates content related to travel destinations using a generative AI model and provides it to users.

[1532] Input: Travel destination information and prompts for the generative AI model

[1533] Output: Auto-generated related content

[1534] How it works: The server uses travel destination information to prompt a generative AI model (e.g., ai_content_generator) to automatically generate content such as videos, blog posts, photo albums, etc. The generated content is then delivered to the user's device.

[1535] Prompt Sentence Examples

[1536] {

[1537] "departure_date": "2023-12-01",

[1538] "return_date": "2023-12-05",

[1539] "budget": 100000

[1540] }

[1541] 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.

[1542] The present invention relates to a travel planning and booking system, and in particular to a system with means for recognizing a user's emotions and optimizing a travel plan, the embodiments of which are described in detail below.

[1543] The first thing the user does is input the travel schedule (departure date and return date) and budget. The user enters the necessary information into the input form displayed on the terminal and submits it. This input information is sent to the server, where the following process takes place:

[1544] The server receives the travel date and budget data and searches and extracts multiple travel destination candidates that match the conditions from the database. For example, if a user enters "Departure December 1, 2023, Return December 5, 2023, Budget 100,000 yen," the server will list domestic and international travel destinations that match the conditions as candidates to display.

[1545] The server then generates a detailed travel plan for each destination. This plan includes tourist attractions, restaurants, events, travel time, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. These plans also include photographs to make them visually appealing to users.

[1546] The generated travel plan is sent to the device, where the user can view and select. After the user selects a specific plan or spot, the selection data is sent back to the server. The server generates a detailed schedule based on the selection data. This schedule includes the order of visits, a timeline, meal times and locations, and subway and public transport transfer information.

[1547] Another feature of the present invention is the incorporation of an emotion engine that recognizes the user's emotions. This emotion engine analyzes emotions from the user's facial expressions, voice, text input, etc. For example, emotions such as joy, excitement, anxiety, and fatigue can be monitored in real time, providing a means to optimize travel plans based on these emotions.

[1548] Specifically, if a user speaks to the system with a smile, and that emotion is recognized as "joy," the server will prioritize suggestions for travel plans that match that emotion, such as highly relaxing spas or fun events. It can also suggest optimal transportation methods to reduce fatigue when the user returns home.

[1549] Next, the user makes tentative reservations for the desired flight, hotel, rental car, local guide, etc. The server executes the various reservations through the reservation system's API and notifies the user of the results. The completion status or fullness of the tentative reservation can be checked instantly, allowing the user to manage the tentative reservation with peace of mind.

[1550] When users are planning or changing their travel plans, the emotion engine will observe their emotions in real time and automatically readjust their schedules and plans accordingly, providing users with a more satisfying travel experience.

[1551] For example, if a user feels tired while heading to a planned tourist spot, the emotion engine will detect that emotion and suggest changing to a more relaxing spot. This suggestion is made quickly by the server, allowing the user to enjoy themselves without straining themselves.

[1552] Finally, if the user cancels the tentative reservation, the server accepts the cancellation request and performs the cancellation process for each reservation system. The result of this process is also notified to the user, allowing them to easily complete the cancellation procedure.

[1553] In this way, the system of the present invention allows users to consistently manage their trip from planning to execution, and to create an optimal plan that suits the user's emotions. This embodiment allows users to enjoy a more fulfilling travel experience.

[1554] The processing flow will be explained below.

[1555] Step 1:

[1556] Terminal: Displays the initial screen for creating a travel plan and provides a form for the user to enter the travel dates (departure date and return date) and budget.

[1557] Step 2:

[1558] User: Fills in the input form with departure date, return date, and budget, then presses the "Submit" button.

[1559] Step 3:

[1560] Terminal: Sends the entered data (departure date, return date, budget) to the server.

[1561] Step 4:

[1562] Server: Receives travel itinerary and budget data, and searches and extracts multiple travel destination candidates that match the criteria from the database.

[1563] Step 5:

[1564] Server: For each potential travel destination, collects tourist attractions, restaurants, events, travel time, and transportation information and generates a detailed travel plan.

[1565] Step 6:

[1566] Server: Sends the generated travel plan, including the travel plan and corresponding photo images, to the device.

[1567] Step 7:

[1568] Device: Displays a list of suggested travel plans, along with corresponding photo images for each plan.

[1569] Step 8:

[1570] User: Select the places they want to go and the events they want to attend from the multiple plans presented.

[1571] Step 9:

[1572] User: Check the selected plan and spot and press the "Decide" button.

[1573] Step 10:

[1574] Terminal: Sends the user's selection to the server.

[1575] Step 11:

[1576] Server: Generates a detailed schedule based on the selected plan, including the order of visits, timeline, meal times and locations, and subway and public transport information.

[1577] Step 12:

[1578] Server: Sends the generated detailed schedule to the terminal.

[1579] Step 13:

[1580] Terminal: Displays the completed detailed schedule to the user.

[1581] Step 14:

[1582] User: Selects the desired tentative reservation for the flight, hotel, rental car, local guide, etc., enters the reservation details, and presses the "Book" button.

[1583] Step 15:

[1584] Terminal: Sends tentative reservation request data to the server.

[1585] Step 16:

[1586] Server: Calls the API of each reservation system and executes the tentative reservation.

[1587] Step 17:

[1588] Server: Checks whether the tentative reservation is complete or full, and sends the result to the terminal.

[1589] Step 18:

[1590] Terminal: Notifies the user of the tentative reservation result.

[1591] Step 19:

[1592] User: To cancel a tentative reservation, enter the details and press the "Cancel" button.

[1593] Step 20:

[1594] Terminal: Sends a cancellation request to the server.

[1595] Step 21:

[1596] Server: Calls the API of each reservation system and executes the cancellation process.

[1597] Step 22:

[1598] Server: Sends the cancellation result to the device.

[1599] Step 23:

[1600] Terminal: Notify the user of the cancellation result.

[1601] Furthermore, the processing steps incorporating the emotion engine are as follows:

[1602] Step 24:

[1603] Terminal: When a user interacts with the system, emotional data is acquired through voice input, text input, facial expression recognition, etc.

[1604] Step 25:

[1605] Server: Analyzes the acquired emotional data and recognizes the user's emotional state, such as joy, excitement, anxiety, fatigue, etc.

[1606] Step 26:

[1607] Server: Optimize the itinerary suggestions to the user based on the recognized emotion data. If joy or excitement is recognized, suggest active events and tourist spots.

[1608] Step 27:

[1609] Device: The travel plan optimized by the emotion engine is displayed to the user, prompting them to make a selection.

[1610] Step 28:

[1611] User: Select further details from the optimized plan and finalize the trip details.

[1612] Step 29:

[1613] Server: Continuously monitors the user's emotional state in real time and automatically adjusts schedules and plans as needed during the trip.

[1614] For example, if a user feels tired while traveling, the emotion engine will detect this and reschedule the trip to places and activities that will help them relax, ensuring the user always gets the experience that best suits their emotional state.

[1615] In this way, through the specific processing flow described above, the present invention can take into consideration the user's emotions and provide a more satisfying travel experience.

[1616] Example 2

[1617] 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."

[1618] Existing travel planning and reservation systems have the problem of being unable to provide optimal travel plans that reflect the user's emotions. Furthermore, there is a lack of a way for the system to recognize changes in the user's emotions and physical condition during the trip and adjust the plan accordingly in real time. This makes it difficult for users to feel satisfied with the trip planning and execution process, and often leads to stress and fatigue.

[1619] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for accepting input of travel itinerary and budget from a user; means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan; means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan; means for displaying the generated travel plan; means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation; means for displaying the detailed schedule; emotion recognition means for analyzing emotions from the user's facial expressions, voice, text input, etc.; means for optimizing the travel plan based on emotion data acquired by the emotion recognition means; means for making provisional reservations for flights, accommodations, transportation, and local guides; and means for notifying the user of the provisional reservation results. This makes it possible to provide an optimal travel plan based on the user's emotions, and realizes real-time emotion recognition during the trip and readjustment of the plan based on the emotion recognition, thereby enabling the user to have a more satisfying travel experience.

[1620] "User" refers to the individual or entity that plans and books travel.

[1621] "Travel itinerary" refers to information that allows a user to specify the start and end dates of a trip.

[1622] "Budget" refers to information that indicates the total cost that a user sets for a trip.

[1623] "Database" refers to the data structure that allows the System to store and retrieve potential travel destinations and related information.

[1624] "Travel destination candidates" refers to a list of travel destinations that meet the conditions (travel dates and budget) specified by the user.

[1625] "Travel Plan" means a detailed travel itinerary generated based on a user's requirements, including tourist attractions, dining options, events, travel times, and transportation information.

[1626] "Tourist attractions" refer to places of interest and famous places that users are expected to visit at their travel destinations.

[1627] "Restaurant" refers to a restaurant where the user can eat at their travel destination.

[1628] "Event" refers to an activity or event that a user can participate in at a travel destination.

[1629] "Travel time" refers to the time required to travel between tourist spots, restaurants, and events.

[1630] "Transportation information" refers to detailed information about each mode of transportation, including subway and public transport timetables and route information.

[1631] "Emotion recognition means" refers to technology for analyzing emotions from a user's facial expressions, voice, text input, etc.

[1632] "Emotion data" refers to information about the user's emotions acquired by emotion recognition means.

[1633] "Tentative reservation" refers to a temporary reservation of the user's desired flight, accommodation, means of transportation, and local guide.

[1634] "Notification means" refers to technology for notifying users of tentative reservation results, change information, etc.

[1635] "Cancellation request" refers to a request made by a user to cancel a tentative reservation.

[1636] "Photo Image" refers to an image provided as a visual aid to a travel plan.

[1637] The present invention provides a travel planning and booking system that recognizes a user's emotions and provides an optimal travel plan. This system allows users to consistently manage their trip from planning to execution, and allows them to enjoy an advanced travel experience based on their emotions. This embodiment will be described in detail below.

[1638] The first thing the user does is input the travel schedule (departure date and return date) and budget. The user enters the necessary information into the input form displayed on the terminal and submits it. This input information is sent from the terminal to the server, where the following process takes place:

[1639] Hardware and Software Configuration

[1640] This system is implemented with the following hardware and software configuration.

[1641] Device: A device through which a user inputs information, including computers, smartphones, tablets, etc.

[1642] Server: Receives user input information and performs tasks such as generating travel plans, emotion recognition, and schedule optimization. A specific example is a cloud-based computing environment.

[1643] Database: Stores travel destination candidates and related information. MySQL or PostgreSQL is used.

[1644] Emotion recognition engine: Software for analyzing user emotions. Includes the Emotion AI engine.

[1645] Other APIs: APIs for integrating with reservation systems, such as Amadeus API and Skyscanner API.

[1646] Process Overview

[1647] 1. User input:

[1648] The user enters the travel schedule (departure date and return date) and budget into the input form on the terminal and clicks the submit button. For example, the user enters "Departure on December 1, 2023, return on December 5, 2023, budget 100,000 yen."

[1649] 2. Trip suggestion search:

[1650] The server queries the database based on the travel itinerary and budget data sent from the device, searching for and generating a list of domestic and international travel destinations that match the criteria.

[1651] 3. Generate a travel plan:

[1652] The server generates a detailed travel plan for each destination. This plan includes tourist spots, restaurants, events, travel time, and transportation information. For example, a Kyoto plan might include a stroll along the Kamo River, a meal in Gion, and a visit to Kinkaku-ji Temple. Furthermore, the plan includes visually appealing photographs.

[1653] 4. Emotion recognition:

[1654] The emotion engine installed on the server analyzes the user's emotions from their facial expressions, voice, text input, etc. For example, if the user speaks with a smile, the emotion is recognized as "joy."

[1655] 5. Optimize your travel plans:

[1656] The server optimizes the travel plan based on the emotion data acquired by the emotion recognition means. If the emotion of joy is recognized, it will prioritize plans that include relaxing spas and fun events.

[1657] 6. Generate schedule:

[1658] Based on the travel plan selected by the user, the server generates a detailed schedule, including the order of visits, timeline, meal times and locations, and subway and public transportation information. The generated schedule is sent to the device, where the user can view and select from it.

[1659] 7. Making a tentative reservation:

[1660] The user makes provisional reservations for the desired flight, accommodation, transportation, and local guide. The server uses the reservation system's API to execute various provisional reservations and notifies the terminal of the results.

[1661] 8. Real-time plan changes:

[1662] When a user is planning a trip or when they change their plans, the emotion recognition system will observe the user's emotions in real time and automatically readjust the schedule or plan accordingly. For example, if the user feels tired, it will suggest changing to a spot where they can relax.

[1663] Prompt Sentence Examples

[1664] Below are some examples of prompts to input to a generative AI model.

[1665] "Let's say the user enters their travel dates (December 1st to December 5th, 2023) and budget (100,000 yen) and shows a happy expression. What kind of travel plan would you suggest under these conditions?"

[1666] As described above, the system of the present invention allows users to consistently manage their trip from planning to execution and create travel plans that are optimized for their emotions. This embodiment allows users to enjoy a more fulfilling travel experience.

[1667] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1668] Step 1:

[1669] The user enters the travel schedule (departure date and return date) and budget into the input form on the terminal. The input information is "Departure December 1, 2023, return December 5, 2023, budget 100,000 yen." After checking the input information, the user clicks the send button. The terminal sends the input from the user to the server.

[1670] Step 2:

[1671] The server queries the database based on the travel itinerary and budget data received from the device. This query searches for domestic and international travel destinations that meet the criteria and generates a list of potential travel destinations. Candidate locations such as "Tokyo, Osaka, Kyoto" are retrieved from the database. The server then sends these candidate locations in list form to the device.

[1672] Step 3:

[1673] The server generates a detailed travel plan for each destination obtained. Based on a list of potential travel destinations obtained from the user (e.g., "Kyoto"), data on tourist spots, restaurants, and events at each destination is collected. In this step, tourist spots such as "Stroll along the Kamo River," restaurants such as "Dining in Gion," and events such as "Visiting Kinkaku-ji Temple" are generated. Visually appealing photo images are also added to the generated travel plan. The travel plan data is sent to the device.

[1674] Step 4:

[1675] The user browses through the travel plan options and selects the one they like. For example, the user selects the "Kyoto plan." This selection data is sent from the terminal to the server.

[1676] Step 5:

[1677] The server generates a detailed schedule based on the data selected by the user. This schedule includes the order of visits, timelines, meal times and locations, and information on subways and public transportation. For example, it includes a detailed timeline such as "9:00 Walk along the Kamo River, 12:00 Dinner in Gion, 15:00 Visit to Kinkaku-ji Temple." The generated schedule is sent to the device, where the user can view it.

[1678] Step 6:

[1679] The server's built-in emotion recognition engine analyzes the user's emotions based on facial expressions, voice, and text input. For example, if the user smiles, this emotion is recognized as "joy." Based on this emotional data, the server optimizes the plan to match the emotion of joy, such as a relaxing spa or fun events. The optimized travel plan is then sent back to the device.

[1680] Step 7:

[1681] The user makes tentative reservations for the desired flight, accommodation, transportation, and local guide. The user inputs these reservations through the device and sends them to the server. The server executes the tentative reservation using the reservation system's API and notifies the device of the results. The tentative reservation status and full status are displayed, allowing the user to decide on the next action to take.

[1682] Step 8:

[1683] If a user experiences a change in their emotional state or physical condition while planning a trip, the system recognizes this in real time and adjusts the plan accordingly. For example, if the user feels tired, the emotion recognition engine analyzes this emotion and suggests changing to a relaxing spot. The server then sends the adjusted plan to the device, and the user applies the new plan.

[1684] Step 9:

[1685] When a user wishes to cancel a tentative reservation, they send a cancellation request from their terminal. The server accepts the cancellation request and processes the cancellation through each reservation destination system. The server notifies the terminal of the cancellation result, allowing the user to easily complete the cancellation procedure.

[1686] (Application example 2)

[1687] 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."

[1688] Conventional travel planning and reservation systems are unable to provide optimal travel plans based on the user's emotions and state, making it difficult to increase user satisfaction. Furthermore, in factory work, there is a lack of means to grasp the emotions and state of workers in real time and optimize work content and break times, making it difficult to improve productivity and manage the health of workers.

[1689] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for accepting input of travel itinerary and budget from a user; means for searching a database for multiple travel destination candidates that meet the input conditions and generating a travel plan based on the input; means for collecting tourist spots, restaurants, events, and travel time and transportation information included in each travel plan; means for displaying the generated travel plan; means for generating a detailed schedule based on a plan selected by the user and including information on subways and public transportation; means for displaying the detailed schedule; means for making provisional reservations for airplanes, hotels, rental cars, and local guides; means for notifying the user of the provisional reservation results; means for analyzing the user's facial expressions and voice to recognize the user's emotions in real time; and means for readjusting the travel plan and schedule based on the recognized emotions. This makes it possible to provide an optimal travel plan based on the user's emotions and state, and to optimize the work content and break times of factory workers based on their emotions and state.

[1690] "User" means any person or entity that uses the System to plan and book travel plans.

[1691] "Itinerary" refers to the schedule including the departure date and return date of the trip.

[1692] A "budget" refers to the maximum amount of money you can spend on a trip.

[1693] "Travel destination candidates" refer to multiple destinations suggested based on user input.

[1694] "Travel Plan" refers to a specific plan of attractions, places to eat, events, etc. for a particular travel destination.

[1695] "Tourist spots" refer to famous places and attractions that are worth visiting at a travel destination.

[1696] "Restaurant" refers to a facility that serves meals at a travel destination.

[1697] "Event" refers to any activities or activities that you can participate in at your travel destination.

[1698] "Travel time" refers to the time required for each stage or movement included in the travel plan.

[1699] "Transportation information" refers to detailed data about subways and public transportation.

[1700] A "detailed schedule" refers to a specific itinerary created based on a travel plan selected by the user.

[1701] A "tentative reservation" refers to a temporary reservation for services such as flights, hotels, rental cars, and local guides.

[1702] "Facial expression" refers to emotions expressed by the movement of the user's facial muscles.

[1703] "Voice" refers to emotions expressed through the tone, speed, and strength of the user's voice.

[1704] "Real-time" refers to processing and reflecting data in the present moment.

[1705] "Means for recognizing emotions" refers to technology that analyzes a user's emotions and determines their state.

[1706] "Recalibration" refers to changing travel plans or schedules based on perceived emotions.

[1707] This invention relates to a travel planning and reservation system, and in particular to a system that recognizes a user's emotions in real time and provides an optimal travel plan. Specifically, the system connects a wearable device such as smart glasses with a server, analyzes the user's emotions, and optimizes the travel plan or factory work schedule based on the analysis results.

[1708] First, the user enters their travel dates and budget into an input form on their device and submits it. This information is sent to the server, which then searches and extracts multiple travel destination candidates that match the criteria from a database. Based on the extracted travel destination candidates, a detailed travel plan is generated, including tourist attractions, restaurants, events, travel time, and transportation information. These plans are then displayed to the user, who can select from them.

[1709] This is where the emotion engine, a key feature of the present invention, comes into play. When a user browses or selects a travel plan while wearing the smart glasses, the camera and microphone capture the user's facial expressions and voice, and the system recognizes their emotions in real time. This emotion analysis uses image processing libraries such as OpenCV and emotion analysis libraries such as DeepFace. Based on the analysis results, the system determines whether the user is feeling joy, excitement, anxiety, fatigue, or other emotions.

[1710] For example, if a user smiles while looking at a travel plan, this is recognized as "joy." In this case, the server will prioritize adding relaxing spas and fun events to the plan. Also, if the user feels tired or stressed, the server will readjust the travel plan to suggest relaxation spots and rest times.

[1711] This approach could also be applied to factory work, where workers wear smart glasses and use cameras to capture their facial expressions and movements while they work. Using DeepFace and other emotion analysis technologies, the system can analyze the worker's emotions in real time and suggest a reduction in work load or a break if signs of fatigue are detected.

[1712] For example, if Worker A is wearing smart glasses and the emotion analysis engine detects "fatigue," the server will schedule a 10-minute break and send a notification to the smart glasses, allowing the worker to take the necessary rest immediately.

[1713] An example of an input prompt using a generative AI model is as follows:

[1714] Analyze the facial expressions and voice of factory workers wearing smart glasses to recognize their emotions in real time. Depending on their emotions, the system will notify the worker of break times and adjust their work content. For example, if a worker feels fatigued, the system will automatically suggest a 10-minute break and send a notification to the smart glasses.

[1715] This makes it possible to provide optimal travel plans that match the user's emotions and state, and to optimize work content and rest times based on the emotions and state of workers at factory sites.

[1716] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1717] Step 1:

[1718] The terminal accepts input of travel itinerary and budget from the user. An input form is displayed, and the user inputs the itinerary and budget. This input data is sent to the server.

[1719] Step 2:

[1720] The server receives the user's input data (schedule and budget). Based on the received data, it searches and extracts multiple travel destination candidates that match the conditions from the database. It then generates the extracted results (a list of travel destination candidates) and sends them to the device.

[1721] Step 3:

[1722] The terminal displays the list of travel destination candidates sent from the server to the user. The user selects a destination that interests them from the travel destination candidates. The selected data is sent to the server.

[1723] Step 4:

[1724] The server receives the user's selection data, collects tourist attractions, restaurants, events, travel time, and transportation information based on the selected travel destination, and generates a detailed travel plan based on the collected information and sends it to the terminal.

[1725] Step 5:

[1726] The terminal displays the detailed travel plan sent from the server to the user. The user selects and confirms the plan, and requests changes to the plan if necessary. The request data is sent to the server.

[1727] Step 6:

[1728] The server receives the user's request data and generates a detailed schedule based on it. The schedule includes the order in which tourist spots should be visited, a timeline, meal times and locations, and subway and public transport transfer information. The generated schedule is then sent to the device.

[1729] Step 7:

[1730] The terminal displays the detailed schedule sent from the server to the user. The user checks the schedule and makes a tentative reservation if necessary. The tentative reservation data is sent to the server.

[1731] Step 8:

[1732] The server receives the user's provisional reservation data, makes provisional reservations for flights, hotels, rental cars, and local guides, and notifies the terminal of the provisional reservation results.

[1733] Step 9:

[1734] The terminal notifies the user of the provisional reservation result sent from the server, and the user checks the provisional reservation information.

[1735] Step 10:

[1736] When a user wears the smart glasses and uses the system, the camera and microphone capture facial expressions and voice data, which are then sent to a server in real time.

[1737] Step 11:

[1738] The server analyzes the received camera and audio data to recognize the user's emotions (e.g., joy, excitement, anxiety, fatigue, etc.). Emotion analysis uses libraries such as OpenCV and DeepFace. Based on the recognized emotions, the server adjusts travel plans and schedules.

[1739] Step 12:

[1740] The server sends the re-adjusted plan or schedule to the device, and the device notifies the user of the information. The optimization is completed when the user confirms and agrees to the new plan or schedule.

[1741] The above steps make it possible to provide an optimal travel plan based on the user's emotions and state. Similarly, in factories, the same procedure can be used to optimize work content and break times based on the emotions of workers.

[1742] 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.

[1743] 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.

[1744] 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.

[1745] 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.

[1746] 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.

[1747] 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.

[1748] 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).

[1749] 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.

[1750] 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."

[1751] 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.

[1752] 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).

[1753] 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.

[1754] 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.

[1755] 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.

[1756] 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.

[1757] 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.

[1758] 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.

[1759] 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.

[1760] 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 describe...

Claims

1. means for receiving input of travel dates and budget from a user; A means for searching a database for multiple travel destination candidates that meet the conditions based on the input and generating a travel plan; A means of collecting information on tourist spots, restaurants, events, travel times, and transportation information included in each travel plan, means for displaying the generated itinerary; A means to generate a detailed schedule based on the user's selected plan, including subway and public transport information; means for displaying the detailed schedule; A means to make tentative reservations for flights, hotels, rental cars and local guides; means for notifying the user of the tentative reservation result; A system including:

2. 2. The system according to claim 1, further comprising means for accepting a cancellation request and for processing the cancellation through each reservation destination system based on the request.

3. 2. The system according to claim 1, further comprising means for displaying photographic images corresponding to each travel plan together with the travel plans.

Images