System

Abstract

A system is provided.SOLUTION: This system is provided with a means for allowing a user to input basic travel information, a means for transmitting the inputted information to a server, a means for generating an optimum travel plan by using a AI based on the transmitted information, a means for transmitting the generated travel plan to the user, and a means for transmitting the travel plan selected by the user to the server, and for performing a reserving processing.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Describe the "problem to be solved" and the "means to solve the problem."

[0005] Planning a trip is time-consuming, and it can be difficult to find a travel plan that suits your tastes and budget. Many people get stuck in the planning stage and end up not making a reservation. To solve this problem and lower the barriers to planning and booking a trip, a system is needed that can quickly and accurately generate optimal travel plans based on user input and easily make reservations. [Means for solving the problem]

[0006] The present invention is a system that includes a means for a user to input basic information about a trip, a means for transmitting the input information to a server, a means for generating an optimal travel plan using AI based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, and a means for transmitting the travel plan selected by the user to the server and processing the reservation. This allows users to easily obtain the optimal travel plan that suits their preferences and budget, significantly lowering the barriers to planning and booking a trip.

[0007] This will clearly show the problem behind the invention and the specific means for solving it.

[0008] A "user" is an entity that uses this system to consider travel plans and make reservations.

[0009] "Basic travel information" refers to information such as the departure point, destination, travel schedule, travel budget, and travel style that is necessary for planning a trip.

[0010] "Means" refers to functions, methods, components, or devices used to achieve a particular purpose.

[0011] A "terminal" is an electronic device operated by a user, such as a smartphone or tablet, for inputting, displaying, selecting, and booking travel plans.

[0012] A "server" is a computer system that receives requests from users and performs processes such as generating travel plans, processing data, and making reservations.

[0013] "Means for generating optimal travel plans using AI" is a function that uses artificial intelligence technology to automatically create the best travel plans based on information entered by the user.

[0014] A "travel plan" is a proposed schedule for specifically planning a user's trip, including information on transportation, accommodations, tourist spots, and the like.

[0015] "Transmitting" is the act of sending information or data from one device or system to another.

[0016] The "means for processing reservations" refers to functions and methods for completing the procedures required for a trip based on the travel plan selected by the user.

[0017] This helps clarify the meaning of key words used in the claims. [Brief explanation of the drawings]

[0018] [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

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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).

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] The present invention relates to a system that allows users to input basic information about their trip, generate an optimal travel plan using AI based on that information, and then book the plan selected by the user.

[0040] A user inputs basic information about a trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone. For example, a user inputs information such as "The budget for a trip from Tokyo to Kyoto is 50,000 yen, and it will be a 3-night, 4-day trip where you can enjoy nature."

[0041] The device converts the input information into an appropriate data format and sends it to the server. The server analyzes the received data and begins processing to generate a travel plan based on the user's preferences. In this process, an AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule). Specifically, the server searches a database for information on transportation, accommodations, tourist attractions, etc., and filters them.

[0042] The generated travel plan is sent to the user's terminal together with a detailed schedule, for example, as follows.

[0043] Plan 1:

[0044] Transportation: Shinkansen (Tokyo → Kyoto)

[0045] Accommodation: Hotels near Kyoto Station

[0046] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0047] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0048] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0049] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0050] Total cost: 45,000 yen

[0051] Plan 2:

[0052] Transportation: Shinkansen (Tokyo → Kyoto)

[0053] Accommodation: Riverside inn

[0054] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[0055] Day 2: Visit Mount Kurama (cable car, nature walk)

[0056] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[0057] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0058] Total cost: 48,000 yen

[0059] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for tourist attractions. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[0060] In this way, the system of the present invention allows users to easily find the optimal travel plan based on their desired conditions and allows them to complete the travel reservation procedure centrally on their terminal, significantly lowering the hurdles to planning and booking a trip.

[0061] The processing flow will be explained below.

[0062] Step 1:

[0063] The user inputs basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone.

[0064] Step 2:

[0065] The device converts the user's input information into an appropriate data format (e.g., JSON format) and sends it to the server.

[0066] Step 3:

[0067] The server receives the input information and analyzes it.

[0068] Step 4:

[0069] The server accesses the database and searches for and retrieves data on transportation options (e.g., airplanes, bullet trains), accommodations (e.g., hotels, inns), tourist attractions, etc. that match the user's criteria.

[0070] Step 5:

[0071] The server uses an AI model to generate multiple optimal travel plans based on the acquired data.

[0072] Step 6:

[0073] The server transmits the generated travel plan to the terminal.

[0074] Step 7:

[0075] The terminal displays the received travel plans to the user, and a screen is displayed that allows the user to select the plan they want.

[0076] Step 8:

[0077] The user selects the desired plan and presses the "Book" button.

[0078] Step 9:

[0079] The terminal transmits information about the selected plan to the server.

[0080] Step 10:

[0081] Based on the plan information received by the server, reservations such as reservations for transportation, accommodation, and tourist attractions are made.

[0082] Step 11:

[0083] The server checks the result of the reservation process, and if successful, sends a reservation confirmation message to the terminal.

[0084] Step 12:

[0085] The device receives the reservation confirmation message and displays it to the user, allowing them to view the reservation details.

[0086] By following these steps, the user can smoothly go through a series of processes from creating a travel plan to completing a reservation.

[0087] Example 1

[0088] 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."

[0089] In today's busy lifestyles, planning and booking trips can be a time-consuming and stressful process for many people. It can be especially difficult to find a plan that best suits your budget, style, and other individual requirements. Therefore, there is a need for a system that allows users to easily create travel plans and quickly complete booking procedures.

[0090] 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.

[0091] In this invention, the server includes a means for a user to input basic information about a trip, a means for transmitting the input information from a terminal to the server, a means for generating an optimal travel plan using a generative AI model based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, and a means for transmitting a travel plan selected by the user to the server and processing a reservation. This allows the user to perform all processes from creating a travel plan to making a reservation in an integrated manner.

[0092] "User" refers to an individual or organization that uses the system to create travel plans and make reservations.

[0093] "Basic travel information" refers to information required when planning a trip, such as the departure point, destination, travel dates, travel budget, and travel style.

[0094] A "terminal" is a device through which a user inputs information and receives a generated travel plan, and examples include smartphones, tablets, and personal computers.

[0095] "Server" refers to a computer system that receives and analyzes information sent from a user's device, generates a travel plan using a generative AI model, and transmits the results to the user's device.

[0096] A "generative AI model" refers to an artificial intelligence model that uses techniques such as machine learning and deep learning to process input data and generate optimal results.

[0097] A "travel plan" refers to a specific travel schedule that includes information on transportation, accommodations, tourist attractions, etc. and is generated based on the user's conditions and wishes.

[0098] "Reservation processing" refers to the series of procedures that involve arranging transportation, booking accommodation, and making advance reservations for tourist attractions based on the travel plan selected by the user, and then finalizing the reservation.

[0099] The present invention relates to a system that allows users to input basic information about their trip, generate an optimal travel plan using a generative AI model based on that information, and then book the plan selected by the user.

[0100] Users input basic travel information (origin, destination, travel schedule, travel budget, travel style) on devices such as smartphones, tablets, and personal computers. For example, suppose a user inputs the following information:

[0101] Departure point: Tokyo

[0102] Destination: Kyoto

[0103] Trip Schedule: 3 nights, 4 days

[0104] Travel budget: 50,000 yen

[0105] Travel style: Traveling to enjoy nature

[0106] The device converts the input information into an appropriate data format (such as JSON) and sends it to the server. The server analyzes the received data and begins the process of generating a travel plan based on the user's preferences. In this process, a generative AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule).

[0107] Specifically, the server searches and filters information such as transportation, accommodation, and tourist attractions from a database. Then, using a generative AI model (such as GPT-4), it inputs appropriate prompts and generates an optimal travel plan. Examples of prompts are as follows:

[0108] I'm planning a trip from Tokyo to Kyoto. My budget is 50,000 yen, the trip will be 3 nights and 4 days, and I would like to travel in a style that allows me to enjoy nature. What is the best travel plan?

[0109] The generated travel plan is sent to the user's terminal along with a detailed schedule. For example, the following plan may be generated:

[0110] Plan 1:

[0111] Transportation: Shinkansen (Tokyo → Kyoto)

[0112] Accommodation: Hotels near Kyoto Station

[0113] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0114] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0115] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0116] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0117] Total cost: 45,000 yen

[0118] Plan 2:

[0119] Transportation: Shinkansen (Tokyo → Kyoto)

[0120] Accommodation: Riverside inn

[0121] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[0122] Day 2: Visit Mount Kurama (cable car, nature walk)

[0123] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[0124] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0125] Total cost: 48,000 yen

[0126] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for tourist attractions. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[0127] In this way, the system of the present invention allows users to easily find the optimal travel plan based on their desired conditions and allows them to complete the travel reservation procedure centrally on their terminal, significantly lowering the hurdles to planning and booking a trip.

[0128] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0129] Step 1:

[0130] User: Enter basic travel information on the device.

[0131] Input: origin, destination, travel dates, travel budget, travel style.

[0132] Data processing: The entered information is stored in temporary variables within the program.

[0133] Output: Basic information about the trip stored in temporary variables.

[0134] Specific actions: The user enters information into a form displayed on the screen of a smartphone or PC and presses the "Submit" button.

[0135] Step 2:

[0136] Terminal: Converts the input information into the appropriate data format and sends it to the server.

[0137] Input: Basic information entered by the user.

[0138] Data processing: Serialize form data into formats such as JSON or XML within the program.

[0139] Output: The data package sent to the server.

[0140] Specific operation: The converted data is stored in the body of the HTTP request and sent to the server.

[0141] Step 3:

[0142] Server: Receives and analyzes data sent from the device.

[0143] Input: Data package sent from the terminal.

[0144] Data processing: Deserialize the received data, extract each item (departure point, destination, travel schedule, travel budget, travel style) and store them in variables.

[0145] Output: Parsed basic information.

[0146] Specific actions: Receives HTTP requests and converts data from JSON or XML format into variables within the program.

[0147] Step 4:

[0148] Server: Generates a travel plan using a generative AI model based on the analyzed data.

[0149] Input: Parsed basic information (origin, destination, travel dates, travel budget, travel style).

[0150] Data processing: The analyzed data is input as prompts into the generative AI model to generate an appropriate travel plan.

[0151] Output: The generated itinerary.

[0152] Specific operation: Input the following prompt into a generative AI model (e.g., GPT-4): "Please tell me a 3-night, 4-day trip from Tokyo to Kyoto with a budget of 50,000 yen, where I can enjoy nature."

[0153] Step 5:

[0154] Server: Sends the generated travel plan to the user's device.

[0155] Input: The generated itinerary.

[0156] Data processing: Serialize travel plans into JSON or XML format.

[0157] Output: The data package sent to the device.

[0158] Specific operation: The generated plan is sent to the terminal as an HTTP response.

[0159] Step 6:

[0160] Terminal: Displays the received travel plan to the user.

[0161] Input: The data package sent by the server.

[0162] Data processing: Deserialize the received data and display each item (transportation, accommodation, tourist attractions, etc.) on the screen.

[0163] Output: The itinerary displayed on the screen.

[0164] Specific behavior: Deserializes the received plan and displays it in the user interface.

[0165] Step 7:

[0166] User: Select the desired plan from the displayed plans.

[0167] Input: Multiple travel plans displayed on the screen.

[0168] Data processing: Store the user's selection in a variable within the program.

[0169] Output: The selected itinerary.

[0170] Specific operation: The user selects the desired plan and presses the "OK" button.

[0171] Step 8:

[0172] Device: Sends the selected plan information to the server.

[0173] Input: The selected itinerary.

[0174] Data processing: Serialize the selected plan into JSON or XML format.

[0175] Output: The data package sent to the server.

[0176] Specific operation: The converted data is stored in the body of the HTTP request and sent to the server.

[0177] Step 9:

[0178] Server: Process the reservation based on the information of the selected plan.

[0179] Input: The selected itinerary.

[0180] Data processing: Arranging transportation tickets, booking accommodation, and making advance reservations for tourist attractions.

[0181] Output: Information about the completed reservation.

[0182] Specific operations: Call the APIs of various reservation services and complete the reservation.

[0183] Step 10:

[0184] Server: After the reservation is completed, send a confirmation message to the device.

[0185] Input: Information with which the reservation was completed.

[0186] Data processing: Generate a message containing the reservation ID and confirmation information, and serialize it into JSON or XML format.

[0187] Output: A confirmation message sent to the terminal.

[0188] Specific operation: The generated confirmation message is sent to the terminal as an HTTP response.

[0189] Step 11:

[0190] Terminal: Notifies the user of the received confirmation message.

[0191] Input: The confirmation message sent by the server.

[0192] Data processing: Deserialize the confirmation message and display it on the screen or notify it.

[0193] Output: A confirmation message sent to the user.

[0194] Specific action: Display a reservation completion message on the screen or send a push notification.

[0195] (Application example 1)

[0196] 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."

[0197] There is a demand for a convenient method that allows users to complete the entire process, from creating travel plans to booking and payment, all in one system. Conventional methods require users to use multiple sites and services to individually collect information and go through multiple steps to make reservations and payments, which is cumbersome. In addition, there has been a lack of systems that automatically provide the optimal travel plan that meets the user's needs. This has resulted in high hurdles to creating travel plans and bookings, and the challenges of time and effort.

[0198] 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.

[0199] In this invention, the server includes a means for a user to input basic information about a trip, a means for transmitting the input information to the server, a means for generating an optimal travel plan using a generative AI model based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, and a means for transmitting a travel plan selected by the user to the server and performing reservation processing and electronic payment processing. This allows a user to easily obtain an optimal travel plan based on their requirements, and also enables travel reservation procedures and payment to be performed in a unified manner.

[0200] A "user" is a person who uses the system to input travel information and receive optimized travel plans.

[0201] "Basic information" is information entered by the user regarding the trip, such as the departure point, destination, travel schedule, travel budget, and travel style.

[0202] The "server" is a computer system whose role is to receive basic travel information sent by the user, generate an optimal travel plan using a generative AI model, and send it to the user's terminal.

[0203] A "generative AI model" is an artificial intelligence algorithm that analyzes basic travel information entered by the user and automatically generates the optimal travel plan.

[0204] A "travel plan" is a set of travel schedules including transportation, accommodation, and tourist destination information created by a generative AI model based on the user's requirements.

[0205] A "terminal" is a device that a user uses to enter basic information about a trip, receive generated itineraries, and select them.

[0206] "Reservation Processing" refers to the process of making a batch reservation of transportation, accommodation, and attractions based on a selected travel plan.

[0207] "Electronic payment processing" refers to the process by which a user electronically pays for the cost of a selected travel plan.

[0208] The present invention relates to a system that allows users to input basic travel information, generate an optimal travel plan based on that information using a generative AI model, and then book and pay electronically for the selected plan. The system mainly consists of a server and a user terminal.

[0209] System Configuration

[0210] Hardware

[0211] server

[0212] Smartphone or tablet (user device)

[0213] software

[0214] Generative AI models (e.g., GPT-4 API)

[0215] Travel plan generation service using REST API

[0216] Electronic payment systems (e.g., Stripe, PayPal)

[0217] Operating procedures and process flows

[0218] 1. The user enters basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on the user's device.

[0219] 2. The device converts the entered basic information into an appropriate data format, such as JSON, and sends it to the server.

[0220] 3. The server analyzes the received data and uses a generative AI model to generate a travel plan that best suits the user's preferences. Specifically, the server searches and filters information on transportation, accommodation, and tourist attractions from its database.

[0221] 4. The generated travel plan, along with a detailed schedule, is sent to the user's device.

[0222] 5. The user checks the plan details and selects the desired plan. The information about the selected plan is sent from the device to the server.

[0223] 6. The server processes the reservation based on the selected plan and then immediately completes the payment process using an electronic payment system.

[0224] 7. Once the reservation and payment are complete, a confirmation message will be sent to the user's device to notify them.

[0225] Usage example

[0226] For example, a user enters the following information:

[0227] Departure point: Tokyo

[0228] Destination: Kyoto

[0229] Travel dates: December 1, 2023 to December 4, 2023

[0230] Budget: 50,000 yen

[0231] Style: Nature

[0232] Example prompt statement for generated plan:

[0233] {"departure": "Tokyo", "destination": "Kyoto", "dates": "2023-12-01 to 2023-12-04", "budget": 50000, "style": "Nature"}

[0234] Based on this information, the server uses a generative AI model to generate a plan like this:

[0235] Plan 1:

[0236] Transportation: Shinkansen (Tokyo → Kyoto)

[0237] Accommodation: Hotels near Kyoto Station

[0238] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0239] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0240] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0241] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0242] Total cost: 45,000 yen

[0243] This allows users to easily obtain the optimal travel plan based on their requirements, and to make reservations and payments all in one place.

[0244] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0245] Step 1:

[0246] The user inputs basic information about the trip (origin, destination, travel itinerary, travel budget, travel style) into the terminal. The input basic information is converted into an appropriate data format such as JSON. The terminal then sends the converted basic information to the server. The input is detailed travel data, and the output is the travel information sent to the server.

[0247] Step 2:

[0248] The server receives the basic information sent from the device. It analyzes the received basic information and creates prompts for generating travel plans. Specifically, the server analyzes the sent data, extracts the necessary data, and formats it into a form suitable for the generative AI model. The input is the travel information sent from the device, and the output is the generated prompts.

[0249] Step 3:

[0250] The server uses a generative AI model (e.g., GPT-4 API) to generate an optimal travel plan based on the user's basic information. The server inputs the prompt text into the generative AI model and generates the optimal travel plan. The generated travel plan is converted into an appropriate data format, such as JSON. The input is the prompt text, and the output is the generated travel plan.

[0251] Step 4:

[0252] The server sends the generated itinerary to the user's terminal. Specifically, the server notifies the user's terminal of the generated itinerary and displays the detailed plan. The input is the generated itinerary, and the output is the itinerary sent to the user's terminal.

[0253] Step 5:

[0254] The user selects the desired plan from multiple travel plans displayed on the terminal. Information about the selected plan is sent from the terminal to the server. The input is the generated travel plan, and the output is information about the selected travel plan.

[0255] Step 6:

[0256] The server processes the reservation based on the selected travel plan. Specifically, the server makes reservations for transportation, accommodation, and tourist attractions all at once. The input is information about the selected travel plan, and the output is information about the completion of the reservation process.

[0257] Step 7:

[0258] After the reservation process is completed, the server processes the payment using an electronic payment system. Specifically, the server checks the cost through an electronic payment system (e.g., Stripe, PayPal) and executes the payment. The input is reservation process completion information, and the output is payment completion information.

[0259] Step 8:

[0260] Once the reservation and payment are completed, a confirmation message is sent from the server to the user's terminal, notifying them of the details of the travel plan and the completion of the reservation and payment. The input is the payment completion information, and the output is the confirmation message sent to the user's terminal.

[0261] 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.

[0262] This invention relates to a system that allows users to input basic travel information, generate an optimal travel plan using AI based on that information, and then book the plan selected by the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system aims to provide a more personalized travel plan.

[0263] A user inputs basic information about a trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone. For example, a user inputs information such as "The budget for a trip from Tokyo to Kyoto is 50,000 yen, and it will be a 3-night, 4-day trip where you can enjoy nature." At this time, the device recognizes the user's emotions using facial recognition, voice analysis, and other methods.

[0264] The device converts the input information and emotional information into an appropriate data format (e.g., JSON format) and sends it to the server. The server analyzes the received data and begins processing to generate a travel plan based on the user's preferences. In this process, an AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule). Specifically, the server searches a database for data on transportation, accommodation, tourist attractions, etc., and performs filtering.

[0265] The emotion engine analyzes the user's emotional information and uses the results to optimize travel plan suggestions. For example, if a user selects "nature" as their travel style and detects a happy expression or excited voice, the engine will increase the number and priority of nature-related tourist attractions and activities. On the other hand, if a bored expression is detected, the engine will re-optimize the content of the plan.

[0266] The generated travel plan is sent to the user's terminal together with a detailed schedule, for example, as follows.

[0267] Plan 1:

[0268] Transportation: Shinkansen (Tokyo → Kyoto)

[0269] Accommodation: Hotels near Kyoto Station

[0270] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0271] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0272] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0273] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0274] Total cost: 45,000 yen

[0275] Plan 2:

[0276] Transportation: Shinkansen (Tokyo → Kyoto)

[0277] Accommodation: Riverside inn

[0278] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[0279] Day 2: Visit Mount Kurama (cable car, nature walk)

[0280] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[0281] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0282] Total cost: 48,000 yen

[0283] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for sightseeing spots. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[0284] The emotion engine also collects user feedback and learns from it to improve its algorithms for future itinerary suggestions. For example, if a user's satisfaction with a tourist spot they visited or their accommodation rating is high, the engine can use this data to refine its next itinerary suggestions.

[0285] In this way, the system of the present invention allows users to easily obtain a more personalized travel plan based on their own emotions, and also allows them to complete the travel reservation procedure centrally on their terminal, thereby significantly lowering the hurdles to planning and booking a trip.

[0286] The processing flow will be explained below.

[0287] Step 1:

[0288] The user inputs basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone.

[0289] Step 2:

[0290] The device recognizes the user's emotions using facial recognition and voice analysis while receiving user input. For example, emotion data is generated by analyzing the user's facial expressions and tone of voice through a camera or microphone.

[0291] Step 3:

[0292] The device converts the input information and emotion data into an appropriate data format (e.g., JSON format) and sends it to the server.

[0293] Step 4:

[0294] The server receives and analyzes the input information and emotional data, which is used to predict user preferences and satisfaction.

[0295] Step 5:

[0296] The server accesses the database and searches for and retrieves data on transportation options (e.g., airplanes, bullet trains), accommodations (e.g., hotels, inns), tourist attractions, etc. that match the user's criteria.

[0297] Step 6:

[0298] The server uses an AI model to generate multiple optimal travel plans based on the acquired data, and an emotion engine adjusts the priority and content of the plans based on the user's emotional data.

[0299] Step 7:

[0300] The server transmits the generated travel plan to the terminal.

[0301] Step 8:

[0302] The device displays the received travel plans to the user. For example, an overview of Plan 1 and Plan 2 is displayed.

[0303] Step 9:

[0304] The user selects the plan they want, and their facial and vocal reactions are continuously analyzed and their emotions are overwritten.

[0305] Step 10:

[0306] The user confirms the details of the plan they have selected and presses the "Book" button.

[0307] Step 11:

[0308] The terminal transmits information about the selected plan to the server.

[0309] Step 12:

[0310] Based on the plan information received by the server, the server processes reservations such as reservations for transportation, accommodation, and sightseeing spots. The emotion engine considers the user's reaction data when booking the plan and further adjusts the proposal content as necessary.

[0311] Step 13:

[0312] The server checks the result of the reservation process, and if successful, sends a reservation confirmation message to the terminal.

[0313] Step 14:

[0314] The device receives the reservation confirmation message and displays it to the user, allowing them to view reservation details (e.g., electronic tickets, accommodation information, sightseeing plans).

[0315] Step 15:

[0316] The emotion engine collects user feedback and learns from it to improve its itinerary suggestion algorithms for future trips. For example, satisfaction with specific attractions or accommodations can be recorded and reflected in future suggestions.

[0317] By following these steps, the user can smoothly carry out the process from creating a travel plan to completing a reservation in a manner that reflects emotional information.

[0318] Example 2

[0319] 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."

[0320] Previously, systems that personalized travel plans mainly based their suggestions on the user's basic information, and improving the accuracy of plans that reflected the user's emotions and preferences was a challenge. It was also difficult to centrally manage the travel reservation process, and the time and effort required for travel planning was a problem. Furthermore, there was an insufficient mechanism for utilizing user feedback in future proposals, leaving a need for improved user satisfaction.

[0321] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0322] In this invention, the server includes: a means for a user to input basic information about a trip; a means for transmitting the input information and the user's emotional information from the terminal to the server; a means for generating an optimal travel plan using a generative model based on the transmitted information and emotional information; a means for transmitting the generated travel plan to the user's terminal and displaying it; a means for transmitting the travel plan selected by the user to the server and processing the reservation; a means for notifying the user's terminal of the completion of the reservation process; and a means for collecting feedback information from the user. This enables personalized travel plans to be proposed based on the user's emotions, and allows for centralized management of travel reservation procedures, significantly reducing the effort required for travel planning. Furthermore, by utilizing user feedback in future proposals, user satisfaction can be improved.

[0323] A "user" is an individual who uses the system to create a travel plan and make a reservation.

[0324] "Basic information" is information about a trip entered by a user, including the departure point, destination, travel itinerary, travel budget, and travel style.

[0325] "Emotion information" is data relating to emotions acquired from the user's facial expressions, voice, etc.

[0326] A "terminal" is a device operated by a user, and includes devices such as smartphones and tablets.

[0327] A "server" is a computer system that manages information sent by users, creates travel plans, and handles booking procedures.

[0328] A "generative model" is an algorithm that uses AI to generate optimal travel plans based on a user's basic information and emotional information.

[0329] A "travel plan" is an itinerary proposed based on the user's wishes and feelings, and includes information on transportation, accommodation, and tourist facilities.

[0330] "Feedback information" refers to information such as the user's satisfaction with the trip and their evaluation, and is data that will be used to create the next trip plan.

[0331] "Reservation processing" refers to procedures such as arranging transportation tickets, reserving accommodation, and making advance reservations for tourist attractions.

[0332] The present invention relates to a system for personalizing travel plans and making optimal suggestions taking into account the user's emotions. A specific embodiment of this system is described below.

[0333] A user opens a travel app on a device such as a smartphone or tablet. The travel app provides an interface that accepts input from the user. The user enters basic information such as the departure point, destination, travel itinerary, travel budget, and travel style. In addition, the device is equipped with a front camera and microphone, and these hardware components are used to analyze the user's facial expressions and voice in real time to obtain emotional information.

[0334] For example, if a user inputs, "I'd like to take a 3-night, 4-day trip from Tokyo to Kyoto where I can enjoy nature. My budget is 50,000 yen," the device analyzes the voice and recognizes the user's emotions (e.g., enjoyment or excitement) from their facial expressions. This information is converted into a data format (e.g., JSON format) on the device and sent to the server using a secure communication protocol.

[0335] The server analyzes the received user's basic information and emotional information and generates an appropriate travel plan using a generative AI model. The server is connected to a large database that stores detailed data on transportation, accommodation, and tourist facilities. The server searches for information from this database and adjusts the search results based on the user's emotional state using an emotional engine.

[0336] The generated travel plan is sent from the server to the user's device and displayed within the app. A specific plan is presented, for example, as follows:

[0337] Plan 1:

[0338] Transportation: Shinkansen (Tokyo → Kyoto)

[0339] Accommodation: Hotels near Kyoto Station

[0340] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0341] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0342] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0343] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0344] Total cost: 45,000 yen

[0345] Plan 2:

[0346] Transportation: Shinkansen (Tokyo → Kyoto)

[0347] Accommodation: Riverside inn

[0348] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[0349] Day 2: Visit Mount Kurama (cable car, nature walk)

[0350] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[0351] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0352] Total cost: 48,000 yen

[0353] Once the user selects the desired plan, the information is sent back to the server via the terminal. The server then centrally manages all the booking processes, including transportation ticket arrangements, accommodation reservations, and advance reservations for tourist attractions. Once the booking is complete, the server sends a confirmation message to the terminal to notify the user.

[0354] After the trip is over, the server collects feedback information from the user. This feedback information is collected in the form of, for example, "trip satisfaction" and "ratings of tourist spots visited." The emotion engine uses this feedback information to train the generative AI model and improve the algorithm for proposing future travel plans.

[0355] An example of a prompt sentence might be as follows:

[0356] User's travel information:

[0357] Departure point: Tokyo

[0358] Destination: Kyoto

[0359] Travel budget: 50,000 yen

[0360] Trip Schedule: 3 nights, 4 days

[0361] Travel Style: Nature

[0362] User sentiment information:

[0363] Joy: High

[0364] Excitement: Moderate

[0365] Use this to generate the best itinerary for you.

[0366] In this way, the system can easily provide more personalized travel plans based on the user's emotions, significantly lowering the barriers to travel planning and booking.

[0367] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0368] Step 1: The user enters basic travel information into the terminal.

[0369] Input: Basic information such as origin, destination, travel dates, travel budget, and travel style.

[0370] Specific operation: A user opens the app on their smartphone or tablet and enters information about a trip. For example, the user enters, "I'm looking for a four-day, three-night trip from Tokyo to Kyoto where I can enjoy nature."

[0371] Output: Basic information is saved to the device.

[0372] Step 2: The device analyzes the user's facial expressions and voice to obtain emotional information.

[0373] Input: User's facial expression data, voice data.

[0374] How it works: The device uses the front camera and microphone to capture the user's facial expressions and voice in real time, then uses facial recognition and voice analysis software to analyze the emotional data. For example, the intensity of an emotion can be quantified based on a smile or excited voice.

[0375] Output: A dataset containing the captured emotion information (e.g., degree of happiness, level of excitement) is generated.

[0376] Step 3: The device converts the basic information and emotion information into JSON format and sends it to the server.

[0377] Input: Basic information, emotional information.

[0378] Specific operation: The device compiles basic information and emotion information and converts it into JSON format, such as "Departure: Tokyo", "Destination: Kyoto", "Emotion: Joy (high)", etc. It then transmits it to the server using a secure communication protocol.

[0379] Output: JSON formatted data is sent to the server.

[0380] Step 4: The server analyzes the received data and generates an optimal travel plan using a generative AI model.

[0381] Input: Basic information and sentiment information in JSON format.

[0382] Specific operation: The server parses the received JSON data and extracts the necessary information. Next, it uses an AI model (e.g., a generative model) to generate an itinerary by optimizing the information on transportation, accommodation, and tourist facilities from the database. Based on the emotional information, it selects tourist attractions and activities that match the user's level of enjoyment and excitement.

[0383] Output: Optimal travel plan data is generated.

[0384] Step 5: The server sends the generated travel plan to the user's terminal.

[0385] Input: Generated itinerary data.

[0386] What happens: The server converts the optimized travel plan data back into JSON format and sends it to the device, using a secure protocol to ensure communication security.

[0387] Output: The travel plan data is sent to the user's device.

[0388] Step 6: The terminal displays the received travel plan to the user.

[0389] Input: Travel plan data sent from the server.

[0390] What it does: The device parses the data it receives and displays it in a format appropriate for the user, including the trip itinerary, total cost, and any other necessary details.

[0391] Output: A screen will be displayed where the user can view their travel plans.

[0392] Step 7: The user selects the desired travel plan and transmits the selection information from the terminal to the server.

[0393] Input: The user's selected travel plan.

[0394] Specific operation: The user checks the travel plans and selects the desired plan. The device sends the selected plan information to the server.

[0395] Output: The selected plan information is sent to the server.

[0396] Step 8: The server processes the travel plan reservation and sends the results to the terminal.

[0397] Input: User selected travel plan information.

[0398] Specific operation: Based on the travel plan, the server will process the travel plan, such as arranging transportation tickets, booking accommodations, and pre-booking tourist attractions. After completion, it will send the results to the terminal.

[0399] Output: Notification that reservation processing is complete.

[0400] Step 9: The terminal displays a notification to the user that the reservation is complete.

[0401] Input: Reservation completion notification sent from the server.

[0402] Specific operation: The device analyzes the completion notification received and displays a notification to the user that the reservation has been completed, including details of the reservation and a confirmation number.

[0403] Output: Reservation completed.

[0404] Step 10: The server collects feedback from the user after the trip is completed.

[0405] Input: User ratings and impressions after completing the trip.

[0406] Specific operation: The server sends a questionnaire to the user requesting feedback on the trip and collects the responses. The user enters their satisfaction with the trip and their rating of each tourist spot.

[0407] Output: Feedback data collected from users.

[0408] Step 11: The server updates the generative AI model based on the feedback data to improve the next trip suggestion algorithm.

[0409] Input: Feedback data.

[0410] Specific operation: The server analyzes the collected feedback data and reflects the feedback in the generative AI model, thereby improving the accuracy of the travel plan suggestion algorithm for future trips.

[0411] Output: An improved generative AI model.

[0412] (Application example 2)

[0413] 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."

[0414] Conventional travel planning systems generate travel plans based on basic information entered by a user, but they have the problem of being unable to provide personalized travel plans that reflect the user's emotions. Furthermore, since the travel plan cannot be readjusted based on the user's emotions or feedback after it has been generated, it is pointed out that the user's satisfaction cannot be sufficiently increased. The present invention aims to solve these problems.

[0415] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0416] In this invention, the server includes a means for a user to input basic information and emotional information about the trip, a means for transmitting the input information to the server, a means for generating an optimal travel plan using AI based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, a means for re-optimizing the plan by recognizing the user's emotional state regarding the travel plan, and a means for transmitting the travel plan selected by the user to the server and processing the reservation, thereby making it possible to provide a personalized travel plan that reflects the user's emotional state.

[0417] "User" refers to an individual who uses the travel planning system or who plans and books a trip.

[0418] "Basic travel information" is a general term for information necessary for travel, such as departure point, destination, travel schedule, travel budget, and travel style.

[0419] "Emotional information" refers to emotional data obtained by analyzing the user's facial expressions and voice.

[0420] "Input means" refers to the device or method by which a user inputs basic and emotional information about a trip into the system.

[0421] "Server" refers to a computer system that receives and processes input data and generates an optimal travel plan.

[0422] "Transmitting means" refers to the technology or method by which data is sent from a user or system to another system or device.

[0423] "Using AI" refers to using artificial intelligence to analyze data and make predictions and optimizations.

[0424] The "optimal travel plan" refers to the most suitable travel schedule and content generated based on the user's conditions and emotional information.

[0425] "Means of generation" refers to the method or technique for producing specific information or results based on input data.

[0426] "Terminal" refers to an electronic device that a user uses to operate the system.

[0427] "Means of recognition" refers to the technology and devices that allow the system to understand and judge input data and the user's situation.

[0428] "Reoptimization" refers to incorporating additional information or changes to the initial plan to further refine it into an optimal state.

[0429] "Reservation processing" refers to making reservations for transportation and accommodation based on the travel plan selected by the user.

[0430] MODE FOR CARRYING OUT THE INVENTION

[0431] The present invention relates to a system that uses AI to generate an optimal travel plan based on a user's input of basic information and emotional information about the trip, and provides the plan to the user. The system of the present invention includes the following main components:

[0432] Entering basic and emotional information about the user

[0433] Users use a device such as a smartphone to input basic information about their trip (origin, destination, itinerary, budget, travel style) and emotional information. To obtain the emotional information, the device's camera and microphone are used to recognize emotions using facial recognition and voice analysis technology.

[0434] Sending data

[0435] The input basic information and emotion information are converted into an appropriate data format (e.g., JSON format) and sent to the server via an internet connection and an API request.

[0436] Generate a travel plan

[0437] The server uses AI to generate an optimal travel plan based on the received information. Using an AI model (e.g., a generative AI model), it integrates information on transportation, accommodation, tourist destinations, etc. from a travel database and proposes a personalized travel plan based on the user's conditions and emotions.

[0438] Providing generated itineraries

[0439] The generated travel plan, along with a detailed schedule, is sent to the user's device, where the user can review it. The system re-optimizes the plan as needed based on the user's reactions and additional emotional information.

[0440] Select and book your travel plan

[0441] The user selects the plan they want from the proposed options and sends that information from their device to the server. Based on the selected plan, the server then processes reservations, such as arranging transportation tickets, reserving accommodations, and making advance reservations for sightseeing spots. Once the reservation is complete, a confirmation message is sent to the user's device.

[0442] Gathering feedback and improving our algorithms

[0443] The feedback provided by users after their trip, along with emotional information, is collected and used to improve the algorithm for suggesting future travel plans.

[0444] Specific examples

[0445] For example, if a user inputs "I'm considering a trip from Tokyo to Kyoto, with a budget of 50,000 yen, for three nights and four days, where I can enjoy nature," and the generative AI model recognizes a happy expression in front of the camera, it will suggest the following itinerary:

[0446] Plan 1:

[0447] Transportation: Shinkansen (Tokyo → Kyoto)

[0448] Accommodation: Hotels near Kyoto Station

[0449] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0450] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0451] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0452] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0453] Total cost: 45,000 yen

[0454] The user selects this plan and the system automatically processes the reservation.

[0455] Prompt Sentence Examples

[0456] Example: When a user opens an app to generate a travel plan, they enter:

[0457] Departure point: Tokyo

[0458] Destination: Kyoto

[0459] Trip Schedule: 3 nights, 4 days

[0460] Travel budget: 50,000 yen

[0461] Travel Style: Nature

[0462] Facial expression data: Happy expression

[0463] Voice data: Excited voice

[0464] Using this information, it generates itineraries that include many nature-related activities.

[0465] The above is a specific embodiment of the present invention. This system makes it possible to provide a travel plan based on the individual needs and emotions of the user, thereby realizing a more satisfying travel experience.

[0466] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0467] Step 1:

[0468] The user enters basic information and emotional information about the trip.

[0469] Input: departure point, destination, travel itinerary, travel budget, travel style, facial expression and voice data.

[0470] Data processing and calculation: Using the smartphone's camera and microphone to recognize facial expressions and voice data and analyze emotions, specifically through the use of facial recognition software and voice analysis algorithms.

[0471] Output: Basic information and sentiment information (e.g., in JSON format).

[0472] Step 2:

[0473] The entered basic information and emotional information are sent to the server.

[0474] Input: Basic information and sentiment information (JSON format).

[0475] Data processing and calculation: The smartphone converts the data into an appropriate format and sends it to the server using the HTTPS protocol.

[0476] Output: The data sent to the server side.

[0477] Step 3:

[0478] The server uses AI to generate the optimal travel plan based on the information received.

[0479] Input: User's basic information and emotional information.

[0480] Data processing and calculation: The server uses the generative AI model to generate a travel plan. Specifically, it retrieves information on transportation, accommodation, and tourist spots from the database and creates a plan that suits the user's requirements.

[0481] Output: The generated itinerary.

[0482] Step 4:

[0483] The generated travel plan is sent to the user's terminal.

[0484] Input: The generated itinerary.

[0485] Data processing and calculation: Plan information is sent from the server to the user's device in JSON format, etc., using the HTTPS protocol.

[0486] Output: The itinerary displayed on the user's device.

[0487] Step 5:

[0488] The user selects the desired plan from the proposed travel plans.

[0489] Input: A list of itineraries displayed to the user.

[0490] Data processing and data calculation: Sends information about the plan selected by the user to the server.

[0491] Output: Information about the itinerary selected by the user.

[0492] Step 6:

[0493] The server processes the reservation based on the selected travel plan.

[0494] Input: Information about the travel plan selected by the user.

[0495] Data processing and data calculation: The server requests each terminal to arrange transportation tickets, book accommodations, and make advance reservations for tourist attractions, and completes the reservations.

[0496] Output: Confirmation of successful booking.

[0497] Step 7:

[0498] The user's terminal is notified that the reservation has been completed.

[0499] Input: Reservation confirmation information.

[0500] Data processing and data calculation: A confirmation message is sent from the server to the user's device using the HTTPS protocol.

[0501] Output: A booking confirmation message that will be displayed on the user's device.

[0502] Step 8:

[0503] After the trip, feedback from users is collected to improve the suggestion algorithm for future trips.

[0504] Input: User's post-trip feedback.

[0505] Data processing and calculation: The server collects feedback data, including emotional information, and uses it to improve the AI ​​model.

[0506] Output: An improved itinerary suggestion algorithm.

[0507] 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.

[0508] 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.

[0509] 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.

[0510] [Second embodiment]

[0511] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0512] 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.

[0513] 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).

[0514] 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.

[0515] 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.

[0516] 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).

[0517] 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.

[0518] 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.

[0519] 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.

[0520] 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.

[0521] 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.

[0522] 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."

[0523] The present invention relates to a system that allows users to input basic information about their trip, generate an optimal travel plan using AI based on that information, and then book the plan selected by the user.

[0524] A user inputs basic information about a trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone. For example, a user inputs information such as "The budget for a trip from Tokyo to Kyoto is 50,000 yen, and it will be a 3-night, 4-day trip where you can enjoy nature."

[0525] The device converts the input information into an appropriate data format and sends it to the server. The server analyzes the received data and begins processing to generate a travel plan based on the user's preferences. In this process, an AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule). Specifically, the server searches a database for information on transportation, accommodations, tourist attractions, etc., and filters them.

[0526] The generated travel plan is sent to the user's terminal together with a detailed schedule, for example, as follows.

[0527] Plan 1:

[0528] Transportation: Shinkansen (Tokyo → Kyoto)

[0529] Accommodation: Hotels near Kyoto Station

[0530] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0531] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0532] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0533] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0534] Total cost: 45,000 yen

[0535] Plan 2:

[0536] Transportation: Shinkansen (Tokyo → Kyoto)

[0537] Accommodation: Riverside inn

[0538] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[0539] Day 2: Visit Mount Kurama (cable car, nature walk)

[0540] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[0541] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0542] Total cost: 48,000 yen

[0543] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for tourist attractions. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[0544] In this way, the system of the present invention allows users to easily find the optimal travel plan based on their desired conditions and allows them to complete the travel reservation procedure centrally on their terminal, significantly lowering the hurdles to planning and booking a trip.

[0545] The processing flow will be explained below.

[0546] Step 1:

[0547] The user inputs basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone.

[0548] Step 2:

[0549] The device converts the user's input information into an appropriate data format (e.g., JSON format) and sends it to the server.

[0550] Step 3:

[0551] The server receives the input information and analyzes it.

[0552] Step 4:

[0553] The server accesses the database and searches for and retrieves data on transportation options (e.g., airplanes, bullet trains), accommodations (e.g., hotels, inns), tourist attractions, etc. that match the user's criteria.

[0554] Step 5:

[0555] The server uses an AI model to generate multiple optimal travel plans based on the acquired data.

[0556] Step 6:

[0557] The server transmits the generated travel plan to the terminal.

[0558] Step 7:

[0559] The terminal displays the received travel plans to the user, and a screen is displayed that allows the user to select the plan they want.

[0560] Step 8:

[0561] The user selects the desired plan and presses the "Book" button.

[0562] Step 9:

[0563] The terminal transmits information about the selected plan to the server.

[0564] Step 10:

[0565] Based on the plan information received by the server, reservations such as reservations for transportation, accommodation, and tourist attractions are made.

[0566] Step 11:

[0567] The server checks the result of the reservation process, and if successful, sends a reservation confirmation message to the terminal.

[0568] Step 12:

[0569] The device receives the reservation confirmation message and displays it to the user, allowing them to view the reservation details.

[0570] By following these steps, the user can smoothly go through a series of processes from creating a travel plan to completing a reservation.

[0571] Example 1

[0572] 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."

[0573] In today's busy lifestyles, planning and booking trips can be a time-consuming and stressful process for many people. It can be especially difficult to find a plan that best suits your budget, style, and other individual requirements. Therefore, there is a need for a system that allows users to easily create travel plans and quickly complete booking procedures.

[0574] 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.

[0575] In this invention, the server includes a means for a user to input basic information about a trip, a means for transmitting the input information from a terminal to the server, a means for generating an optimal travel plan using a generative AI model based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, and a means for transmitting a travel plan selected by the user to the server and processing a reservation. This allows the user to perform all processes from creating a travel plan to making a reservation in an integrated manner.

[0576] "User" refers to an individual or organization that uses the system to create travel plans and make reservations.

[0577] "Basic travel information" refers to information required when planning a trip, such as the departure point, destination, travel dates, travel budget, and travel style.

[0578] A "terminal" is a device through which a user inputs information and receives a generated travel plan, and examples include smartphones, tablets, and personal computers.

[0579] "Server" refers to a computer system that receives and analyzes information sent from a user's device, generates a travel plan using a generative AI model, and transmits the results to the user's device.

[0580] A "generative AI model" refers to an artificial intelligence model that uses techniques such as machine learning and deep learning to process input data and generate optimal results.

[0581] A "travel plan" refers to a specific travel schedule that includes information on transportation, accommodations, tourist attractions, etc. and is generated based on the user's conditions and wishes.

[0582] "Reservation processing" refers to the series of procedures that involve arranging transportation, booking accommodation, and making advance reservations for tourist attractions based on the travel plan selected by the user, and then finalizing the reservation.

[0583] The present invention relates to a system that allows users to input basic information about their trip, generate an optimal travel plan using a generative AI model based on that information, and then book the plan selected by the user.

[0584] Users input basic travel information (origin, destination, travel schedule, travel budget, travel style) on devices such as smartphones, tablets, and personal computers. For example, suppose a user inputs the following information:

[0585] Departure point: Tokyo

[0586] Destination: Kyoto

[0587] Trip Schedule: 3 nights, 4 days

[0588] Travel budget: 50,000 yen

[0589] Travel style: Traveling to enjoy nature

[0590] The device converts the input information into an appropriate data format (such as JSON) and sends it to the server. The server analyzes the received data and begins the process of generating a travel plan based on the user's preferences. In this process, a generative AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule).

[0591] Specifically, the server searches and filters information such as transportation, accommodation, and tourist attractions from a database. Then, using a generative AI model (such as GPT-4), it inputs appropriate prompts and generates an optimal travel plan. Examples of prompts are as follows:

[0592] I'm planning a trip from Tokyo to Kyoto. My budget is 50,000 yen, the trip will be 3 nights and 4 days, and I would like to travel in a style that allows me to enjoy nature. What is the best travel plan?

[0593] The generated travel plan is sent to the user's terminal along with a detailed schedule. For example, the following plan may be generated:

[0594] Plan 1:

[0595] Transportation: Shinkansen (Tokyo → Kyoto)

[0596] Accommodation: Hotels near Kyoto Station

[0597] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0598] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0599] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0600] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0601] Total cost: 45,000 yen

[0602] Plan 2:

[0603] Transportation: Shinkansen (Tokyo → Kyoto)

[0604] Accommodation: Riverside inn

[0605] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[0606] Day 2: Visit Mount Kurama (cable car, nature walk)

[0607] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[0608] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0609] Total cost: 48,000 yen

[0610] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for tourist attractions. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[0611] In this way, the system of the present invention allows users to easily find the optimal travel plan based on their desired conditions and allows them to complete the travel reservation procedure centrally on their terminal, significantly lowering the hurdles to planning and booking a trip.

[0612] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0613] Step 1:

[0614] User: Enter basic travel information on the device.

[0615] Input: origin, destination, travel dates, travel budget, travel style.

[0616] Data processing: The entered information is stored in temporary variables within the program.

[0617] Output: Basic information about the trip stored in temporary variables.

[0618] Specific actions: The user enters information into a form displayed on the screen of a smartphone or PC and presses the "Submit" button.

[0619] Step 2:

[0620] Terminal: Converts the input information into the appropriate data format and sends it to the server.

[0621] Input: Basic information entered by the user.

[0622] Data processing: Serialize form data into formats such as JSON or XML within the program.

[0623] Output: The data package sent to the server.

[0624] Specific operation: The converted data is stored in the body of the HTTP request and sent to the server.

[0625] Step 3:

[0626] Server: Receives and analyzes data sent from the device.

[0627] Input: Data package sent from the terminal.

[0628] Data processing: Deserialize the received data, extract each item (departure point, destination, travel schedule, travel budget, travel style) and store them in variables.

[0629] Output: Parsed basic information.

[0630] Specific actions: Receives HTTP requests and converts data from JSON or XML format into variables within the program.

[0631] Step 4:

[0632] Server: Generates a travel plan using a generative AI model based on the analyzed data.

[0633] Input: Parsed basic information (origin, destination, travel dates, travel budget, travel style).

[0634] Data processing: The analyzed data is input as prompts into the generative AI model to generate an appropriate travel plan.

[0635] Output: The generated itinerary.

[0636] Specific operation: Input the following prompt into a generative AI model (e.g., GPT-4): "Please tell me a 3-night, 4-day trip from Tokyo to Kyoto with a budget of 50,000 yen, where I can enjoy nature."

[0637] Step 5:

[0638] Server: Sends the generated travel plan to the user's device.

[0639] Input: The generated itinerary.

[0640] Data processing: Serialize travel plans into JSON or XML format.

[0641] Output: The data package sent to the device.

[0642] Specific operation: The generated plan is sent to the terminal as an HTTP response.

[0643] Step 6:

[0644] Terminal: Displays the received travel plan to the user.

[0645] Input: The data package sent by the server.

[0646] Data processing: Deserialize the received data and display each item (transportation, accommodation, tourist attractions, etc.) on the screen.

[0647] Output: The itinerary displayed on the screen.

[0648] Specific behavior: Deserializes the received plan and displays it in the user interface.

[0649] Step 7:

[0650] User: Select the desired plan from the displayed plans.

[0651] Input: Multiple travel plans displayed on the screen.

[0652] Data processing: Store the user's selection in a variable within the program.

[0653] Output: The selected itinerary.

[0654] Specific operation: The user selects the desired plan and presses the "OK" button.

[0655] Step 8:

[0656] Device: Sends the selected plan information to the server.

[0657] Input: The selected itinerary.

[0658] Data processing: Serialize the selected plan into JSON or XML format.

[0659] Output: The data package sent to the server.

[0660] Specific operation: The converted data is stored in the body of the HTTP request and sent to the server.

[0661] Step 9:

[0662] Server: Process the reservation based on the information of the selected plan.

[0663] Input: The selected itinerary.

[0664] Data processing: Arranging transportation tickets, booking accommodation, and making advance reservations for tourist attractions.

[0665] Output: Information about the completed reservation.

[0666] Specific operations: Call the APIs of various reservation services and complete the reservation.

[0667] Step 10:

[0668] Server: After the reservation is completed, send a confirmation message to the device.

[0669] Input: Information with which the reservation was completed.

[0670] Data processing: Generate a message containing the reservation ID and confirmation information, and serialize it into JSON or XML format.

[0671] Output: A confirmation message sent to the terminal.

[0672] Specific operation: The generated confirmation message is sent to the terminal as an HTTP response.

[0673] Step 11:

[0674] Terminal: Notifies the user of the received confirmation message.

[0675] Input: The confirmation message sent by the server.

[0676] Data processing: Deserialize the confirmation message and display it on the screen or notify it.

[0677] Output: A confirmation message sent to the user.

[0678] Specific action: Display a reservation completion message on the screen or send a push notification.

[0679] (Application example 1)

[0680] 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."

[0681] There is a demand for a convenient method that allows users to complete the entire process, from creating travel plans to booking and payment, all in one system. Conventional methods require users to use multiple sites and services to individually collect information and go through multiple steps to make reservations and payments, which is cumbersome. In addition, there has been a lack of systems that automatically provide the optimal travel plan that meets the user's needs. This has resulted in high hurdles to creating travel plans and bookings, and the challenges of time and effort.

[0682] 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.

[0683] In this invention, the server includes a means for a user to input basic information about a trip, a means for transmitting the input information to the server, a means for generating an optimal travel plan using a generative AI model based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, and a means for transmitting a travel plan selected by the user to the server and performing reservation processing and electronic payment processing. This allows a user to easily obtain an optimal travel plan based on their requirements, and also enables travel reservation procedures and payment to be performed in a unified manner.

[0684] A "user" is a person who uses the system to input travel information and receive optimized travel plans.

[0685] "Basic information" is information entered by the user regarding the trip, such as the departure point, destination, travel schedule, travel budget, and travel style.

[0686] The "server" is a computer system whose role is to receive basic travel information sent by the user, generate an optimal travel plan using a generative AI model, and send it to the user's terminal.

[0687] A "generative AI model" is an artificial intelligence algorithm that analyzes basic travel information entered by the user and automatically generates the optimal travel plan.

[0688] A "travel plan" is a set of travel schedules including transportation, accommodation, and tourist destination information created by a generative AI model based on the user's requirements.

[0689] A "terminal" is a device that a user uses to enter basic information about a trip, receive generated itineraries, and select them.

[0690] "Reservation Processing" refers to the process of making a batch reservation of transportation, accommodation, and attractions based on a selected travel plan.

[0691] "Electronic payment processing" refers to the process by which a user electronically pays for the cost of a selected travel plan.

[0692] The present invention relates to a system that allows users to input basic travel information, generate an optimal travel plan based on that information using a generative AI model, and then book and pay electronically for the selected plan. The system mainly consists of a server and a user terminal.

[0693] System Configuration

[0694] Hardware

[0695] server

[0696] Smartphone or tablet (user device)

[0697] software

[0698] Generative AI models (e.g., GPT-4 API)

[0699] Travel plan generation service using REST API

[0700] Electronic payment systems (e.g., Stripe, PayPal)

[0701] Operating procedures and process flows

[0702] 1. The user enters basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on the user's device.

[0703] 2. The device converts the entered basic information into an appropriate data format, such as JSON, and sends it to the server.

[0704] 3. The server analyzes the received data and uses a generative AI model to generate a travel plan that best suits the user's preferences. Specifically, the server searches and filters information on transportation, accommodation, and tourist attractions from its database.

[0705] 4. The generated travel plan, along with a detailed schedule, is sent to the user's device.

[0706] 5. The user checks the plan details and selects the desired plan. The information about the selected plan is sent from the device to the server.

[0707] 6. The server processes the reservation based on the selected plan and then immediately completes the payment process using an electronic payment system.

[0708] 7. Once the reservation and payment are complete, a confirmation message will be sent to the user's device to notify them.

[0709] Usage example

[0710] For example, a user enters the following information:

[0711] Departure point: Tokyo

[0712] Destination: Kyoto

[0713] Travel dates: December 1, 2023 to December 4, 2023

[0714] Budget: 50,000 yen

[0715] Style: Nature

[0716] Example prompt statement for generated plan:

[0717] {"departure": "Tokyo", "destination": "Kyoto", "dates": "2023-12-01 to 2023-12-04", "budget": 50000, "style": "Nature"}

[0718] Based on this information, the server uses a generative AI model to generate a plan like this:

[0719] Plan 1:

[0720] Transportation: Shinkansen (Tokyo → Kyoto)

[0721] Accommodation: Hotels near Kyoto Station

[0722] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0723] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0724] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0725] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0726] Total cost: 45,000 yen

[0727] This allows users to easily obtain the optimal travel plan based on their requirements, and to make reservations and payments all in one place.

[0728] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0729] Step 1:

[0730] The user inputs basic information about the trip (origin, destination, travel itinerary, travel budget, travel style) into the terminal. The input basic information is converted into an appropriate data format such as JSON. The terminal then sends the converted basic information to the server. The input is detailed travel data, and the output is the travel information sent to the server.

[0731] Step 2:

[0732] The server receives the basic information sent from the device. It analyzes the received basic information and creates prompts for generating travel plans. Specifically, the server analyzes the sent data, extracts the necessary data, and formats it into a form suitable for the generative AI model. The input is the travel information sent from the device, and the output is the generated prompts.

[0733] Step 3:

[0734] The server uses a generative AI model (e.g., GPT-4 API) to generate an optimal travel plan based on the user's basic information. The server inputs the prompt text into the generative AI model and generates the optimal travel plan. The generated travel plan is converted into an appropriate data format, such as JSON. The input is the prompt text, and the output is the generated travel plan.

[0735] Step 4:

[0736] The server sends the generated itinerary to the user's terminal. Specifically, the server notifies the user's terminal of the generated itinerary and displays the detailed plan. The input is the generated itinerary, and the output is the itinerary sent to the user's terminal.

[0737] Step 5:

[0738] The user selects the desired plan from multiple travel plans displayed on the terminal. Information about the selected plan is sent from the terminal to the server. The input is the generated travel plan, and the output is information about the selected travel plan.

[0739] Step 6:

[0740] The server processes the reservation based on the selected travel plan. Specifically, the server makes reservations for transportation, accommodation, and tourist attractions all at once. The input is information about the selected travel plan, and the output is information about the completion of the reservation process.

[0741] Step 7:

[0742] After the reservation process is completed, the server processes the payment using an electronic payment system. Specifically, the server checks the cost through an electronic payment system (e.g., Stripe, PayPal) and executes the payment. The input is reservation process completion information, and the output is payment completion information.

[0743] Step 8:

[0744] Once the reservation and payment are completed, a confirmation message is sent from the server to the user's terminal, notifying them of the details of the travel plan and the completion of the reservation and payment. The input is the payment completion information, and the output is the confirmation message sent to the user's terminal.

[0745] 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.

[0746] This invention relates to a system that allows users to input basic travel information, generate an optimal travel plan using AI based on that information, and then book the plan selected by the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system aims to provide a more personalized travel plan.

[0747] A user inputs basic information about a trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone. For example, a user inputs information such as "The budget for a trip from Tokyo to Kyoto is 50,000 yen, and it will be a 3-night, 4-day trip where you can enjoy nature." At this time, the device recognizes the user's emotions using facial recognition, voice analysis, and other methods.

[0748] The device converts the input information and emotional information into an appropriate data format (e.g., JSON format) and sends it to the server. The server analyzes the received data and begins processing to generate a travel plan based on the user's preferences. In this process, an AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule). Specifically, the server searches a database for data on transportation, accommodation, tourist attractions, etc., and performs filtering.

[0749] The emotion engine analyzes the user's emotional information and uses the results to optimize travel plan suggestions. For example, if a user selects "nature" as their travel style and detects a happy expression or excited voice, the engine will increase the number and priority of nature-related tourist attractions and activities. On the other hand, if a bored expression is detected, the engine will re-optimize the content of the plan.

[0750] The generated travel plan is sent to the user's terminal together with a detailed schedule, for example, as follows.

[0751] Plan 1:

[0752] Transportation: Shinkansen (Tokyo → Kyoto)

[0753] Accommodation: Hotels near Kyoto Station

[0754] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0755] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0756] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0757] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0758] Total cost: 45,000 yen

[0759] Plan 2:

[0760] Transportation: Shinkansen (Tokyo → Kyoto)

[0761] Accommodation: Riverside inn

[0762] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[0763] Day 2: Visit Mount Kurama (cable car, nature walk)

[0764] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[0765] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0766] Total cost: 48,000 yen

[0767] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for sightseeing spots. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[0768] The emotion engine also collects user feedback and learns from it to improve its algorithms for future itinerary suggestions. For example, if a user's satisfaction with a tourist spot they visited or their accommodation rating is high, the engine can use this data to refine its next itinerary suggestions.

[0769] In this way, the system of the present invention allows users to easily obtain a more personalized travel plan based on their own emotions, and also allows them to complete the travel reservation procedure centrally on their terminal, thereby significantly lowering the hurdles to planning and booking a trip.

[0770] The processing flow will be explained below.

[0771] Step 1:

[0772] The user inputs basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone.

[0773] Step 2:

[0774] The device recognizes the user's emotions using facial recognition and voice analysis while receiving user input. For example, emotion data is generated by analyzing the user's facial expressions and tone of voice through a camera or microphone.

[0775] Step 3:

[0776] The device converts the input information and emotion data into an appropriate data format (e.g., JSON format) and sends it to the server.

[0777] Step 4:

[0778] The server receives and analyzes the input information and emotional data, which is used to predict user preferences and satisfaction.

[0779] Step 5:

[0780] The server accesses the database and searches for and retrieves data on transportation options (e.g., airplanes, bullet trains), accommodations (e.g., hotels, inns), tourist attractions, etc. that match the user's criteria.

[0781] Step 6:

[0782] The server uses an AI model to generate multiple optimal travel plans based on the acquired data, and an emotion engine adjusts the priority and content of the plans based on the user's emotional data.

[0783] Step 7:

[0784] The server transmits the generated travel plan to the terminal.

[0785] Step 8:

[0786] The device displays the received travel plans to the user. For example, an overview of Plan 1 and Plan 2 is displayed.

[0787] Step 9:

[0788] The user selects the plan they want, and their facial and vocal reactions are continuously analyzed and their emotions are overwritten.

[0789] Step 10:

[0790] The user confirms the details of the plan they have selected and presses the "Book" button.

[0791] Step 11:

[0792] The terminal transmits information about the selected plan to the server.

[0793] Step 12:

[0794] Based on the plan information received by the server, the server processes reservations such as reservations for transportation, accommodation, and sightseeing spots. The emotion engine considers the user's reaction data when booking the plan and further adjusts the proposal content as necessary.

[0795] Step 13:

[0796] The server checks the result of the reservation process, and if successful, sends a reservation confirmation message to the terminal.

[0797] Step 14:

[0798] The device receives the reservation confirmation message and displays it to the user, allowing them to view reservation details (e.g., electronic tickets, accommodation information, sightseeing plans).

[0799] Step 15:

[0800] The emotion engine collects user feedback and learns from it to improve its itinerary suggestion algorithms for future trips. For example, satisfaction with specific attractions or accommodations can be recorded and reflected in future suggestions.

[0801] By following these steps, the user can smoothly carry out the process from creating a travel plan to completing a reservation in a manner that reflects emotional information.

[0802] Example 2

[0803] 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."

[0804] Previously, systems that personalized travel plans mainly based their suggestions on the user's basic information, and improving the accuracy of plans that reflected the user's emotions and preferences was a challenge. It was also difficult to centrally manage the travel reservation process, and the time and effort required for travel planning was a problem. Furthermore, there was an insufficient mechanism for utilizing user feedback in future proposals, leaving a need for improved user satisfaction.

[0805] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0806] In this invention, the server includes: a means for a user to input basic information about a trip; a means for transmitting the input information and the user's emotional information from the terminal to the server; a means for generating an optimal travel plan using a generative model based on the transmitted information and emotional information; a means for transmitting the generated travel plan to the user's terminal and displaying it; a means for transmitting the travel plan selected by the user to the server and processing the reservation; a means for notifying the user's terminal of the completion of the reservation process; and a means for collecting feedback information from the user. This enables personalized travel plans to be proposed based on the user's emotions, and allows for centralized management of travel reservation procedures, significantly reducing the effort required for travel planning. Furthermore, by utilizing user feedback in future proposals, user satisfaction can be improved.

[0807] A "user" is an individual who uses the system to create a travel plan and make a reservation.

[0808] "Basic information" is information about a trip entered by a user, including the departure point, destination, travel itinerary, travel budget, and travel style.

[0809] "Emotion information" is data relating to emotions acquired from the user's facial expressions, voice, etc.

[0810] A "terminal" is a device operated by a user, and includes devices such as smartphones and tablets.

[0811] A "server" is a computer system that manages information sent by users, creates travel plans, and handles booking procedures.

[0812] A "generative model" is an algorithm that uses AI to generate optimal travel plans based on a user's basic information and emotional information.

[0813] A "travel plan" is an itinerary proposed based on the user's wishes and feelings, and includes information on transportation, accommodation, and tourist facilities.

[0814] "Feedback information" refers to information such as the user's satisfaction with the trip and their evaluation, and is data that will be used to create the next trip plan.

[0815] "Reservation processing" refers to procedures such as arranging transportation tickets, reserving accommodation, and making advance reservations for tourist attractions.

[0816] The present invention relates to a system for personalizing travel plans and making optimal suggestions taking into account the user's emotions. A specific embodiment of this system is described below.

[0817] A user opens a travel app on a device such as a smartphone or tablet. The travel app provides an interface that accepts input from the user. The user enters basic information such as the departure point, destination, travel itinerary, travel budget, and travel style. In addition, the device is equipped with a front camera and microphone, and these hardware components are used to analyze the user's facial expressions and voice in real time to obtain emotional information.

[0818] For example, if a user inputs, "I'd like to take a 3-night, 4-day trip from Tokyo to Kyoto where I can enjoy nature. My budget is 50,000 yen," the device analyzes the voice and recognizes the user's emotions (e.g., enjoyment or excitement) from their facial expressions. This information is converted into a data format (e.g., JSON format) on the device and sent to the server using a secure communication protocol.

[0819] The server analyzes the received user's basic information and emotional information and generates an appropriate travel plan using a generative AI model. The server is connected to a large database that stores detailed data on transportation, accommodation, and tourist facilities. The server searches for information from this database and adjusts the search results based on the user's emotional state using an emotional engine.

[0820] The generated travel plan is sent from the server to the user's device and displayed within the app. A specific plan is presented, for example, as follows:

[0821] Plan 1:

[0822] Transportation: Shinkansen (Tokyo → Kyoto)

[0823] Accommodation: Hotels near Kyoto Station

[0824] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0825] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0826] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0827] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0828] Total cost: 45,000 yen

[0829] Plan 2:

[0830] Transportation: Shinkansen (Tokyo → Kyoto)

[0831] Accommodation: Riverside inn

[0832] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[0833] Day 2: Visit Mount Kurama (cable car, nature walk)

[0834] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[0835] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0836] Total cost: 48,000 yen

[0837] Once the user selects the desired plan, the information is sent back to the server via the terminal. The server then centrally manages all the booking processes, including transportation ticket arrangements, accommodation reservations, and advance reservations for tourist attractions. Once the booking is complete, the server sends a confirmation message to the terminal to notify the user.

[0838] After the trip is over, the server collects feedback information from the user. This feedback information is collected in the form of, for example, "trip satisfaction" and "ratings of tourist spots visited." The emotion engine uses this feedback information to train the generative AI model and improve the algorithm for proposing future travel plans.

[0839] An example of a prompt sentence might be as follows:

[0840] User's travel information:

[0841] Departure point: Tokyo

[0842] Destination: Kyoto

[0843] Travel budget: 50,000 yen

[0844] Trip Schedule: 3 nights, 4 days

[0845] Travel Style: Nature

[0846] User sentiment information:

[0847] Joy: High

[0848] Excitement: Moderate

[0849] Use this to generate the best itinerary for you.

[0850] In this way, the system can easily provide more personalized travel plans based on the user's emotions, significantly lowering the barriers to travel planning and booking.

[0851] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0852] Step 1: The user enters basic travel information into the terminal.

[0853] Input: Basic information such as origin, destination, travel dates, travel budget, and travel style.

[0854] Specific operation: A user opens the app on their smartphone or tablet and enters information about a trip. For example, the user enters, "I'm looking for a four-day, three-night trip from Tokyo to Kyoto where I can enjoy nature."

[0855] Output: Basic information is saved to the device.

[0856] Step 2: The device analyzes the user's facial expressions and voice to obtain emotional information.

[0857] Input: User's facial expression data, voice data.

[0858] How it works: The device uses the front camera and microphone to capture the user's facial expressions and voice in real time, then uses facial recognition and voice analysis software to analyze the emotional data. For example, the intensity of an emotion can be quantified based on a smile or excited voice.

[0859] Output: A dataset containing the captured emotion information (e.g., degree of happiness, level of excitement) is generated.

[0860] Step 3: The device converts the basic information and emotion information into JSON format and sends it to the server.

[0861] Input: Basic information, emotional information.

[0862] Specific operation: The device compiles basic information and emotional information and converts it into JSON format, such as "Departure: Tokyo", "Destination: Kyoto", "Emotion: Joy (high)", etc. It then transmits it to the server using a secure communication protocol.

[0863] Output: JSON formatted data is sent to the server.

[0864] Step 4: The server analyzes the received data and generates an optimal travel plan using a generative AI model.

[0865] Input: Basic information and sentiment information in JSON format.

[0866] Specific operation: The server parses the received JSON data and extracts the necessary information. Next, it uses an AI model (e.g., a generative model) to generate an itinerary by optimizing the information on transportation, accommodation, and tourist facilities from the database. Based on the emotional information, it selects tourist attractions and activities that match the user's level of enjoyment and excitement.

[0867] Output: Optimal travel plan data is generated.

[0868] Step 5: The server sends the generated travel plan to the user's terminal.

[0869] Input: Generated itinerary data.

[0870] What happens: The server converts the optimized travel plan data back into JSON format and sends it to the device, using a secure protocol to ensure communication security.

[0871] Output: The travel plan data is sent to the user's device.

[0872] Step 6: The terminal displays the received travel plan to the user.

[0873] Input: Travel plan data sent from the server.

[0874] What it does: The device parses the data it receives and displays it in a format appropriate for the user, including the trip itinerary, total cost, and any other necessary details.

[0875] Output: A screen will be displayed where the user can view their travel plans.

[0876] Step 7: The user selects the desired travel plan and transmits the selection information from the terminal to the server.

[0877] Input: The user's selected travel plan.

[0878] Specific operation: The user checks the travel plans and selects the desired plan. The device sends the selected plan information to the server.

[0879] Output: The selected plan information is sent to the server.

[0880] Step 8: The server processes the travel plan reservation and sends the results to the terminal.

[0881] Input: User selected travel plan information.

[0882] Specific operation: Based on the travel plan, the server will process the travel plan, such as arranging transportation tickets, booking accommodations, and pre-booking tourist attractions. After completion, it will send the results to the terminal.

[0883] Output: Notification that reservation processing is complete.

[0884] Step 9: The terminal displays a notification to the user that the reservation is complete.

[0885] Input: Reservation completion notification sent from the server.

[0886] Specific operation: The device analyzes the completion notification received and displays a notification to the user that the reservation has been completed, including details of the reservation and a confirmation number.

[0887] Output: Reservation completed.

[0888] Step 10: The server collects feedback from the user after the trip is completed.

[0889] Input: User ratings and impressions after completing the trip.

[0890] Specific operation: The server sends a questionnaire to the user requesting feedback on the trip and collects the responses. The user enters their satisfaction with the trip and their rating of each tourist spot.

[0891] Output: Feedback data collected from users.

[0892] Step 11: The server updates the generative AI model based on the feedback data to improve the next trip suggestion algorithm.

[0893] Input: Feedback data.

[0894] Specific operation: The server analyzes the collected feedback data and reflects the feedback in the generative AI model, thereby improving the accuracy of the travel plan suggestion algorithm for future trips.

[0895] Output: An improved generative AI model.

[0896] (Application example 2)

[0897] 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."

[0898] Conventional travel planning systems generate travel plans based on basic information entered by a user, but they have the problem of being unable to provide personalized travel plans that reflect the user's emotions. Furthermore, since the travel plan cannot be readjusted based on the user's emotions or feedback after it has been generated, it is pointed out that the user's satisfaction cannot be sufficiently increased. The present invention aims to solve these problems.

[0899] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0900] In this invention, the server includes a means for a user to input basic information and emotional information about the trip, a means for transmitting the input information to the server, a means for generating an optimal travel plan using AI based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, a means for re-optimizing the plan by recognizing the user's emotional state regarding the travel plan, and a means for transmitting the travel plan selected by the user to the server and processing the reservation, thereby making it possible to provide a personalized travel plan that reflects the user's emotional state.

[0901] "User" refers to an individual who uses the travel planning system or who plans and books a trip.

[0902] "Basic travel information" is a general term for information necessary for travel, such as departure point, destination, travel schedule, travel budget, and travel style.

[0903] "Emotional information" refers to emotional data obtained by analyzing the user's facial expressions and voice.

[0904] "Input means" refers to the device or method by which a user inputs basic and emotional information about a trip into the system.

[0905] "Server" refers to a computer system that receives and processes input data and generates an optimal travel plan.

[0906] "Transmitting means" refers to the technology or method by which data is sent from a user or system to another system or device.

[0907] "Using AI" refers to using artificial intelligence to analyze data and make predictions and optimizations.

[0908] The "optimal travel plan" refers to the most suitable travel schedule and content generated based on the user's conditions and emotional information.

[0909] "Means of generation" refers to the method or technique for producing specific information or results based on input data.

[0910] "Terminal" refers to an electronic device that a user uses to operate the system.

[0911] "Means of recognition" refers to the technology and devices that allow the system to understand and judge input data and the user's situation.

[0912] "Reoptimization" refers to incorporating additional information or changes to the initial plan to further refine it into an optimal state.

[0913] "Reservation processing" refers to making reservations for transportation and accommodation based on the travel plan selected by the user.

[0914] MODE FOR CARRYING OUT THE INVENTION

[0915] The present invention relates to a system that uses AI to generate an optimal travel plan based on a user's input of basic information and emotional information about the trip, and provides the plan to the user. The system of the present invention includes the following main components:

[0916] Entering basic and emotional information about the user

[0917] Users use a device such as a smartphone to input basic information about their trip (origin, destination, itinerary, budget, travel style) and emotional information. To obtain the emotional information, the device's camera and microphone are used to recognize emotions using facial recognition and voice analysis technology.

[0918] Sending data

[0919] The input basic information and emotion information are converted into an appropriate data format (e.g., JSON format) and sent to the server via an internet connection and an API request.

[0920] Generate a travel plan

[0921] The server uses AI to generate an optimal travel plan based on the received information. Using an AI model (e.g., a generative AI model), it integrates information on transportation, accommodation, tourist destinations, etc. from a travel database and proposes a personalized travel plan based on the user's conditions and emotions.

[0922] Providing generated itineraries

[0923] The generated travel plan, along with a detailed schedule, is sent to the user's device, where the user can review it. The system re-optimizes the plan as needed based on the user's reactions and additional emotional information.

[0924] Select and book your travel plan

[0925] The user selects the plan they want from the proposed options and sends that information from their device to the server. Based on the selected plan, the server then processes reservations, such as arranging transportation tickets, reserving accommodations, and making advance reservations for sightseeing spots. Once the reservation is complete, a confirmation message is sent to the user's device.

[0926] Gathering feedback and improving our algorithms

[0927] The feedback provided by users after their trip, along with emotional information, is collected and used to improve the algorithm for suggesting future travel plans.

[0928] Specific examples

[0929] For example, if a user inputs "I'm considering a trip from Tokyo to Kyoto, with a budget of 50,000 yen, for three nights and four days, where I can enjoy nature," and the generative AI model recognizes a happy expression in front of the camera, it will suggest the following itinerary:

[0930] Plan 1:

[0931] Transportation: Shinkansen (Tokyo → Kyoto)

[0932] Accommodation: Hotels near Kyoto Station

[0933] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[0934] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[0935] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[0936] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[0937] Total cost: 45,000 yen

[0938] The user selects this plan and the system automatically processes the reservation.

[0939] Prompt Sentence Examples

[0940] Example: When a user opens an app to generate a travel plan, they enter:

[0941] Departure point: Tokyo

[0942] Destination: Kyoto

[0943] Trip Schedule: 3 nights, 4 days

[0944] Travel budget: 50,000 yen

[0945] Travel Style: Nature

[0946] Facial expression data: Happy expression

[0947] Voice data: Excited voice

[0948] Using this information, it generates itineraries that include many nature-related activities.

[0949] The above is a specific embodiment of the present invention. This system makes it possible to provide a travel plan based on the individual needs and emotions of the user, thereby realizing a more satisfying travel experience.

[0950] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0951] Step 1:

[0952] The user enters basic information and emotional information about the trip.

[0953] Input: departure point, destination, travel itinerary, travel budget, travel style, facial expression and voice data.

[0954] Data processing and calculation: Using the smartphone's camera and microphone to recognize facial expressions and voice data and analyze emotions, specifically through the use of facial recognition software and voice analysis algorithms.

[0955] Output: Basic information and sentiment information (e.g., in JSON format).

[0956] Step 2:

[0957] The entered basic information and emotional information are sent to the server.

[0958] Input: Basic information and sentiment information (JSON format).

[0959] Data processing and calculation: The smartphone converts the data into an appropriate format and sends it to the server using the HTTPS protocol.

[0960] Output: The data sent to the server side.

[0961] Step 3:

[0962] The server uses AI to generate the optimal travel plan based on the information received.

[0963] Input: User's basic information and emotional information.

[0964] Data processing and calculation: The server uses the generative AI model to generate a travel plan. Specifically, it retrieves information on transportation, accommodation, and tourist spots from the database and creates a plan that suits the user's requirements.

[0965] Output: The generated itinerary.

[0966] Step 4:

[0967] The generated travel plan is sent to the user's terminal.

[0968] Input: The generated itinerary.

[0969] Data processing and calculation: Plan information is sent from the server to the user's device in JSON format, etc., using the HTTPS protocol.

[0970] Output: The itinerary displayed on the user's device.

[0971] Step 5:

[0972] The user selects the desired plan from the proposed travel plans.

[0973] Input: A list of itineraries displayed to the user.

[0974] Data processing and data calculation: Sends information about the plan selected by the user to the server.

[0975] Output: Information about the itinerary selected by the user.

[0976] Step 6:

[0977] The server processes the reservation based on the selected travel plan.

[0978] Input: Information about the travel plan selected by the user.

[0979] Data processing and data calculation: The server requests each terminal to arrange transportation tickets, book accommodations, and make advance reservations for tourist attractions, and completes the reservations.

[0980] Output: Confirmation of successful booking.

[0981] Step 7:

[0982] The user's terminal is notified that the reservation has been completed.

[0983] Input: Reservation confirmation information.

[0984] Data processing and data calculation: A confirmation message is sent from the server to the user's device using the HTTPS protocol.

[0985] Output: A booking confirmation message that will be displayed on the user's device.

[0986] Step 8:

[0987] After the trip, feedback from users is collected to improve the suggestion algorithm for future trips.

[0988] Input: User's post-trip feedback.

[0989] Data processing and calculation: The server collects feedback data, including emotional information, and uses it to improve the AI ​​model.

[0990] Output: An improved itinerary suggestion algorithm.

[0991] 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.

[0992] 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.

[0993] 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.

[0994] [Third embodiment]

[0995] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0996] 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.

[0997] 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).

[0998] 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.

[0999] 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.

[1000] 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).

[1001] 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.

[1002] 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.

[1003] 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.

[1004] 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.

[1005] 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.

[1006] 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."

[1007] The present invention relates to a system that allows users to input basic information about their trip, generate an optimal travel plan using AI based on that information, and then book the plan selected by the user.

[1008] A user inputs basic information about a trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone. For example, a user inputs information such as "The budget for a trip from Tokyo to Kyoto is 50,000 yen, and it will be a 3-night, 4-day trip where you can enjoy nature."

[1009] The device converts the input information into an appropriate data format and sends it to the server. The server analyzes the received data and begins processing to generate a travel plan based on the user's preferences. In this process, an AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule). Specifically, the server searches a database for information on transportation, accommodations, tourist attractions, etc., and filters them.

[1010] The generated travel plan is sent to the user's terminal together with a detailed schedule, for example, as follows.

[1011] Plan 1:

[1012] Transportation: Shinkansen (Tokyo → Kyoto)

[1013] Accommodation: Hotels near Kyoto Station

[1014] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1015] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1016] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1017] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1018] Total cost: 45,000 yen

[1019] Plan 2:

[1020] Transportation: Shinkansen (Tokyo → Kyoto)

[1021] Accommodation: Riverside inn

[1022] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[1023] Day 2: Visit Mount Kurama (cable car, nature walk)

[1024] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[1025] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1026] Total cost: 48,000 yen

[1027] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for tourist attractions. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[1028] In this way, the system of the present invention allows users to easily find the optimal travel plan based on their desired conditions and allows them to complete the travel reservation procedure centrally on their terminal, significantly lowering the hurdles to planning and booking a trip.

[1029] The processing flow will be explained below.

[1030] Step 1:

[1031] The user inputs basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone.

[1032] Step 2:

[1033] The device converts the user's input information into an appropriate data format (e.g., JSON format) and sends it to the server.

[1034] Step 3:

[1035] The server receives the input information and analyzes it.

[1036] Step 4:

[1037] The server accesses the database and searches for and retrieves data on transportation options (e.g., airplanes, bullet trains), accommodations (e.g., hotels, inns), tourist attractions, etc. that match the user's criteria.

[1038] Step 5:

[1039] The server uses an AI model to generate multiple optimal travel plans based on the acquired data.

[1040] Step 6:

[1041] The server transmits the generated travel plan to the terminal.

[1042] Step 7:

[1043] The terminal displays the received travel plans to the user, and a screen is displayed that allows the user to select the plan they want.

[1044] Step 8:

[1045] The user selects the desired plan and presses the "Book" button.

[1046] Step 9:

[1047] The terminal transmits information about the selected plan to the server.

[1048] Step 10:

[1049] Based on the plan information received by the server, reservations such as reservations for transportation, accommodation, and tourist attractions are made.

[1050] Step 11:

[1051] The server checks the result of the reservation process, and if successful, sends a reservation confirmation message to the terminal.

[1052] Step 12:

[1053] The device receives the reservation confirmation message and displays it to the user, allowing them to view the reservation details.

[1054] By following these steps, the user can smoothly go through a series of processes from creating a travel plan to completing a reservation.

[1055] Example 1

[1056] 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."

[1057] In today's busy lifestyles, planning and booking trips can be a time-consuming and stressful process for many people. It can be especially difficult to find a plan that best suits your budget, style, and other individual requirements. Therefore, there is a need for a system that allows users to easily create travel plans and quickly complete booking procedures.

[1058] 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.

[1059] In this invention, the server includes a means for a user to input basic information about a trip, a means for transmitting the input information from a terminal to the server, a means for generating an optimal travel plan using a generative AI model based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, and a means for transmitting a travel plan selected by the user to the server and processing a reservation. This allows the user to perform all processes from creating a travel plan to making a reservation in an integrated manner.

[1060] "User" refers to an individual or organization that uses the system to create travel plans and make reservations.

[1061] "Basic travel information" refers to information required when planning a trip, such as the departure point, destination, travel dates, travel budget, and travel style.

[1062] A "terminal" is a device through which a user inputs information and receives a generated travel plan, and examples include smartphones, tablets, and personal computers.

[1063] "Server" refers to a computer system that receives and analyzes information sent from a user's device, generates a travel plan using a generative AI model, and transmits the results to the user's device.

[1064] A "generative AI model" refers to an artificial intelligence model that uses techniques such as machine learning and deep learning to process input data and generate optimal results.

[1065] A "travel plan" refers to a specific travel schedule that includes information on transportation, accommodations, tourist attractions, etc. and is generated based on the user's conditions and wishes.

[1066] "Reservation processing" refers to the series of procedures that involve arranging transportation, booking accommodation, and making advance reservations for tourist attractions based on the travel plan selected by the user, and then finalizing the reservation.

[1067] The present invention relates to a system that allows users to input basic information about their trip, generate an optimal travel plan using a generative AI model based on that information, and then book the plan selected by the user.

[1068] Users input basic travel information (origin, destination, travel schedule, travel budget, travel style) on devices such as smartphones, tablets, and personal computers. For example, suppose a user inputs the following information:

[1069] Departure point: Tokyo

[1070] Destination: Kyoto

[1071] Trip Schedule: 3 nights, 4 days

[1072] Travel budget: 50,000 yen

[1073] Travel style: Traveling to enjoy nature

[1074] The device converts the input information into an appropriate data format (such as JSON) and sends it to the server. The server analyzes the received data and begins the process of generating a travel plan based on the user's preferences. In this process, a generative AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule).

[1075] Specifically, the server searches and filters information such as transportation, accommodation, and tourist attractions from a database. Then, using a generative AI model (such as GPT-4), it inputs appropriate prompts and generates an optimal travel plan. Examples of prompts are as follows:

[1076] I'm planning a trip from Tokyo to Kyoto. My budget is 50,000 yen, the trip will be 3 nights and 4 days, and I would like to travel in a style that allows me to enjoy nature. What is the best travel plan?

[1077] The generated travel plan is sent to the user's terminal along with a detailed schedule. For example, the following plan may be generated:

[1078] Plan 1:

[1079] Transportation: Shinkansen (Tokyo → Kyoto)

[1080] Accommodation: Hotels near Kyoto Station

[1081] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1082] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1083] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1084] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1085] Total cost: 45,000 yen

[1086] Plan 2:

[1087] Transportation: Shinkansen (Tokyo → Kyoto)

[1088] Accommodation: Riverside inn

[1089] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[1090] Day 2: Visit Mount Kurama (cable car, nature walk)

[1091] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[1092] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1093] Total cost: 48,000 yen

[1094] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for tourist attractions. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[1095] In this way, the system of the present invention allows users to easily find the optimal travel plan based on their desired conditions and allows them to complete the travel reservation procedure centrally on their terminal, significantly lowering the hurdles to planning and booking a trip.

[1096] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1097] Step 1:

[1098] User: Enter basic travel information on the device.

[1099] Input: origin, destination, travel dates, travel budget, travel style.

[1100] Data processing: The entered information is stored in temporary variables within the program.

[1101] Output: Basic information about the trip stored in temporary variables.

[1102] Specific actions: The user enters information into a form displayed on the screen of a smartphone or PC and presses the "Submit" button.

[1103] Step 2:

[1104] Terminal: Converts the input information into the appropriate data format and sends it to the server.

[1105] Input: Basic information entered by the user.

[1106] Data processing: Serialize form data into formats such as JSON or XML within the program.

[1107] Output: The data package sent to the server.

[1108] Specific operation: The converted data is stored in the body of the HTTP request and sent to the server.

[1109] Step 3:

[1110] Server: Receives and analyzes data sent from the device.

[1111] Input: Data package sent from the terminal.

[1112] Data processing: Deserialize the received data, extract each item (departure point, destination, travel schedule, travel budget, travel style) and store them in variables.

[1113] Output: Parsed basic information.

[1114] Specific actions: Receives HTTP requests and converts data from JSON or XML format into variables within the program.

[1115] Step 4:

[1116] Server: Generates a travel plan using a generative AI model based on the analyzed data.

[1117] Input: Parsed basic information (origin, destination, travel dates, travel budget, travel style).

[1118] Data processing: The analyzed data is input as prompts into the generative AI model to generate an appropriate travel plan.

[1119] Output: The generated itinerary.

[1120] Specific operation: Input the following prompt into a generative AI model (e.g., GPT-4): "Please tell me a 3-night, 4-day trip from Tokyo to Kyoto with a budget of 50,000 yen, where I can enjoy nature."

[1121] Step 5:

[1122] Server: Sends the generated travel plan to the user's device.

[1123] Input: The generated itinerary.

[1124] Data processing: Serialize travel plans into JSON or XML format.

[1125] Output: The data package sent to the device.

[1126] Specific operation: The generated plan is sent to the terminal as an HTTP response.

[1127] Step 6:

[1128] Terminal: Displays the received travel plan to the user.

[1129] Input: The data package sent by the server.

[1130] Data processing: Deserialize the received data and display each item (transportation, accommodation, tourist attractions, etc.) on the screen.

[1131] Output: The itinerary displayed on the screen.

[1132] Specific behavior: Deserializes the received plan and displays it in the user interface.

[1133] Step 7:

[1134] User: Select the desired plan from the displayed plans.

[1135] Input: Multiple travel plans displayed on the screen.

[1136] Data processing: Store the user's selection in a variable within the program.

[1137] Output: The selected itinerary.

[1138] Specific operation: The user selects the desired plan and presses the "OK" button.

[1139] Step 8:

[1140] Device: Sends the selected plan information to the server.

[1141] Input: The selected itinerary.

[1142] Data processing: Serialize the selected plan into JSON or XML format.

[1143] Output: The data package sent to the server.

[1144] Specific operation: The converted data is stored in the body of the HTTP request and sent to the server.

[1145] Step 9:

[1146] Server: Process the reservation based on the information of the selected plan.

[1147] Input: The selected itinerary.

[1148] Data processing: Arranging transportation tickets, booking accommodation, and making advance reservations for tourist attractions.

[1149] Output: Information about the completed reservation.

[1150] Specific operations: Call the APIs of various reservation services and complete the reservation.

[1151] Step 10:

[1152] Server: After the reservation is completed, send a confirmation message to the device.

[1153] Input: Information with which the reservation was completed.

[1154] Data processing: Generate a message containing the reservation ID and confirmation information, and serialize it into JSON or XML format.

[1155] Output: A confirmation message sent to the terminal.

[1156] Specific operation: The generated confirmation message is sent to the terminal as an HTTP response.

[1157] Step 11:

[1158] Terminal: Notifies the user of the received confirmation message.

[1159] Input: The confirmation message sent by the server.

[1160] Data processing: Deserialize the confirmation message and display it on the screen or notify it.

[1161] Output: A confirmation message sent to the user.

[1162] Specific action: Display a reservation completion message on the screen or send a push notification.

[1163] (Application example 1)

[1164] 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."

[1165] There is a demand for a convenient method that allows users to complete the entire process, from creating travel plans to booking and payment, all in one system. Conventional methods require users to use multiple sites and services to individually collect information and go through multiple steps to make reservations and payments, which is cumbersome. In addition, there has been a lack of systems that automatically provide the optimal travel plan that meets the user's needs. This has resulted in high hurdles to creating travel plans and bookings, and the challenges of time and effort.

[1166] 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.

[1167] In this invention, the server includes a means for a user to input basic information about a trip, a means for transmitting the input information to the server, a means for generating an optimal travel plan using a generative AI model based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, and a means for transmitting a travel plan selected by the user to the server and performing reservation processing and electronic payment processing. This allows a user to easily obtain an optimal travel plan based on their requirements, and also enables travel reservation procedures and payment to be performed in a unified manner.

[1168] A "user" is a person who uses the system to input travel information and receive optimized travel plans.

[1169] "Basic information" is information entered by the user regarding the trip, such as the departure point, destination, travel schedule, travel budget, and travel style.

[1170] The "server" is a computer system whose role is to receive basic travel information sent by the user, generate an optimal travel plan using a generative AI model, and send it to the user's terminal.

[1171] A "generative AI model" is an artificial intelligence algorithm that analyzes basic travel information entered by the user and automatically generates the optimal travel plan.

[1172] A "travel plan" is a set of travel schedules including transportation, accommodation, and tourist destination information created by a generative AI model based on the user's requirements.

[1173] A "terminal" is a device that a user uses to enter basic information about a trip, receive generated itineraries, and select them.

[1174] "Reservation Processing" refers to the process of making a batch reservation of transportation, accommodation, and attractions based on a selected travel plan.

[1175] "Electronic payment processing" refers to the process by which a user electronically pays for the cost of a selected travel plan.

[1176] The present invention relates to a system that allows users to input basic travel information, generate an optimal travel plan based on that information using a generative AI model, and then book and pay electronically for the selected plan. The system mainly consists of a server and a user terminal.

[1177] System Configuration

[1178] Hardware

[1179] server

[1180] Smartphone or tablet (user device)

[1181] software

[1182] Generative AI models (e.g., GPT-4 API)

[1183] Travel plan generation service using REST API

[1184] Electronic payment systems (e.g., Stripe, PayPal)

[1185] Operating procedures and process flows

[1186] 1. The user enters basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on the user's device.

[1187] 2. The device converts the entered basic information into an appropriate data format, such as JSON, and sends it to the server.

[1188] 3. The server analyzes the received data and uses a generative AI model to generate a travel plan that best suits the user's preferences. Specifically, the server searches and filters information on transportation, accommodation, and tourist attractions from its database.

[1189] 4. The generated travel plan, along with a detailed schedule, is sent to the user's device.

[1190] 5. The user checks the plan details and selects the desired plan. The information about the selected plan is sent from the device to the server.

[1191] 6. The server processes the reservation based on the selected plan and then immediately completes the payment process using an electronic payment system.

[1192] 7. Once the reservation and payment are complete, a confirmation message will be sent to the user's device to notify them.

[1193] Usage example

[1194] For example, a user enters the following information:

[1195] Departure point: Tokyo

[1196] Destination: Kyoto

[1197] Travel dates: December 1, 2023 to December 4, 2023

[1198] Budget: 50,000 yen

[1199] Style: Nature

[1200] Example prompt statement for generated plan:

[1201] {"departure": "Tokyo", "destination": "Kyoto", "dates": "2023-12-01 to 2023-12-04", "budget": 50000, "style": "Nature"}

[1202] Based on this information, the server uses a generative AI model to generate a plan like this:

[1203] Plan 1:

[1204] Transportation: Shinkansen (Tokyo → Kyoto)

[1205] Accommodation: Hotels near Kyoto Station

[1206] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1207] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1208] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1209] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1210] Total cost: 45,000 yen

[1211] This allows users to easily obtain the optimal travel plan based on their requirements, and to make reservations and payments all in one place.

[1212] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1213] Step 1:

[1214] The user inputs basic information about the trip (origin, destination, travel itinerary, travel budget, travel style) into the terminal. The input basic information is converted into an appropriate data format such as JSON. The terminal then sends the converted basic information to the server. The input is detailed travel data, and the output is the travel information sent to the server.

[1215] Step 2:

[1216] The server receives the basic information sent from the device. It analyzes the received basic information and creates prompts for generating travel plans. Specifically, the server analyzes the sent data, extracts the necessary data, and formats it into a form suitable for the generative AI model. The input is the travel information sent from the device, and the output is the generated prompts.

[1217] Step 3:

[1218] The server uses a generative AI model (e.g., GPT-4 API) to generate an optimal travel plan based on the user's basic information. The server inputs the prompt text into the generative AI model and generates the optimal travel plan. The generated travel plan is converted into an appropriate data format, such as JSON. The input is the prompt text, and the output is the generated travel plan.

[1219] Step 4:

[1220] The server sends the generated itinerary to the user's terminal. Specifically, the server notifies the user's terminal of the generated itinerary and displays the detailed plan. The input is the generated itinerary, and the output is the itinerary sent to the user's terminal.

[1221] Step 5:

[1222] The user selects the desired plan from multiple travel plans displayed on the terminal. Information about the selected plan is sent from the terminal to the server. The input is the generated travel plan, and the output is information about the selected travel plan.

[1223] Step 6:

[1224] The server processes the reservation based on the selected travel plan. Specifically, the server makes reservations for transportation, accommodation, and tourist attractions all at once. The input is information about the selected travel plan, and the output is information about the completion of the reservation process.

[1225] Step 7:

[1226] After the reservation process is completed, the server processes the payment using an electronic payment system. Specifically, the server checks the cost through an electronic payment system (e.g., Stripe, PayPal) and executes the payment. The input is reservation process completion information, and the output is payment completion information.

[1227] Step 8:

[1228] Once the reservation and payment are completed, a confirmation message is sent from the server to the user's terminal, notifying them of the details of the travel plan and the completion of the reservation and payment. The input is the payment completion information, and the output is the confirmation message sent to the user's terminal.

[1229] 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.

[1230] This invention relates to a system that allows users to input basic travel information, generate an optimal travel plan using AI based on that information, and then book the plan selected by the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system aims to provide a more personalized travel plan.

[1231] A user inputs basic information about a trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone. For example, a user inputs information such as "The budget for a trip from Tokyo to Kyoto is 50,000 yen, and it will be a 3-night, 4-day trip where you can enjoy nature." At this time, the device recognizes the user's emotions using facial recognition, voice analysis, and other methods.

[1232] The device converts the input information and emotional information into an appropriate data format (e.g., JSON format) and sends it to the server. The server analyzes the received data and begins processing to generate a travel plan based on the user's preferences. In this process, an AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule). Specifically, the server searches a database for data on transportation, accommodation, tourist attractions, etc., and performs filtering.

[1233] The emotion engine analyzes the user's emotional information and uses the results to optimize travel plan suggestions. For example, if a user selects "nature" as their travel style and detects a happy expression or excited voice, the engine will increase the number and priority of nature-related tourist attractions and activities. On the other hand, if a bored expression is detected, the engine will re-optimize the content of the plan.

[1234] The generated travel plan is sent to the user's terminal together with a detailed schedule, for example, as follows.

[1235] Plan 1:

[1236] Transportation: Shinkansen (Tokyo → Kyoto)

[1237] Accommodation: Hotels near Kyoto Station

[1238] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1239] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1240] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1241] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1242] Total cost: 45,000 yen

[1243] Plan 2:

[1244] Transportation: Shinkansen (Tokyo → Kyoto)

[1245] Accommodation: Riverside inn

[1246] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[1247] Day 2: Visit Mount Kurama (cable car, nature walk)

[1248] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[1249] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1250] Total cost: 48,000 yen

[1251] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for sightseeing spots. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[1252] The emotion engine also collects user feedback and learns from it to improve its algorithms for future itinerary suggestions. For example, if a user's satisfaction with a tourist spot they visited or their accommodation rating is high, the engine can use this data to refine its next itinerary suggestions.

[1253] In this way, the system of the present invention allows users to easily obtain a more personalized travel plan based on their own emotions, and also allows them to complete the travel reservation procedure centrally on their terminal, thereby significantly lowering the hurdles to planning and booking a trip.

[1254] The processing flow will be explained below.

[1255] Step 1:

[1256] The user inputs basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone.

[1257] Step 2:

[1258] The device recognizes the user's emotions using facial recognition and voice analysis while receiving user input. For example, emotion data is generated by analyzing the user's facial expressions and tone of voice through a camera or microphone.

[1259] Step 3:

[1260] The device converts the input information and emotion data into an appropriate data format (e.g., JSON format) and sends it to the server.

[1261] Step 4:

[1262] The server receives and analyzes the input information and emotional data, which is used to predict user preferences and satisfaction.

[1263] Step 5:

[1264] The server accesses the database and searches for and retrieves data on transportation options (e.g., airplanes, bullet trains), accommodations (e.g., hotels, inns), tourist attractions, etc. that match the user's criteria.

[1265] Step 6:

[1266] The server uses an AI model to generate multiple optimal travel plans based on the acquired data, and an emotion engine adjusts the priority and content of the plans based on the user's emotional data.

[1267] Step 7:

[1268] The server transmits the generated travel plan to the terminal.

[1269] Step 8:

[1270] The device displays the received travel plans to the user. For example, an overview of Plan 1 and Plan 2 is displayed.

[1271] Step 9:

[1272] The user selects the plan they want, and their facial and vocal reactions are continuously analyzed and their emotions are overwritten.

[1273] Step 10:

[1274] The user confirms the details of the plan they have selected and presses the "Book" button.

[1275] Step 11:

[1276] The terminal transmits information about the selected plan to the server.

[1277] Step 12:

[1278] Based on the plan information received by the server, the server processes reservations such as reservations for transportation, accommodation, and sightseeing spots. The emotion engine considers the user's reaction data when booking the plan and further adjusts the proposal content as necessary.

[1279] Step 13:

[1280] The server checks the result of the reservation process, and if successful, sends a reservation confirmation message to the terminal.

[1281] Step 14:

[1282] The device receives the reservation confirmation message and displays it to the user, allowing them to view reservation details (e.g., electronic tickets, accommodation information, sightseeing plans).

[1283] Step 15:

[1284] The emotion engine collects user feedback and learns from it to improve its itinerary suggestion algorithms for future trips. For example, satisfaction with specific attractions or accommodations can be recorded and reflected in future suggestions.

[1285] By following these steps, the user can smoothly carry out the process from creating a travel plan to completing a reservation in a manner that reflects emotional information.

[1286] Example 2

[1287] 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."

[1288] Previously, systems that personalized travel plans mainly based their suggestions on the user's basic information, and improving the accuracy of plans that reflected the user's emotions and preferences was a challenge. It was also difficult to centrally manage the travel reservation process, and the time and effort required for travel planning was a problem. Furthermore, there was an insufficient mechanism for utilizing user feedback in future proposals, leaving a need for improved user satisfaction.

[1289] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1290] In this invention, the server includes: a means for a user to input basic information about a trip; a means for transmitting the input information and the user's emotional information from the terminal to the server; a means for generating an optimal travel plan using a generative model based on the transmitted information and emotional information; a means for transmitting the generated travel plan to the user's terminal and displaying it; a means for transmitting the travel plan selected by the user to the server and processing the reservation; a means for notifying the user's terminal of the completion of the reservation process; and a means for collecting feedback information from the user. This enables personalized travel plans to be proposed based on the user's emotions, and allows for centralized management of travel reservation procedures, significantly reducing the effort required for travel planning. Furthermore, by utilizing user feedback in future proposals, user satisfaction can be improved.

[1291] A "user" is an individual who uses the system to create a travel plan and make a reservation.

[1292] "Basic information" is information about a trip entered by a user, including the departure point, destination, travel itinerary, travel budget, and travel style.

[1293] "Emotion information" is data relating to emotions acquired from the user's facial expressions, voice, etc.

[1294] A "terminal" is a device operated by a user, and includes devices such as smartphones and tablets.

[1295] A "server" is a computer system that manages information sent by users, creates travel plans, and handles booking procedures.

[1296] A "generative model" is an algorithm that uses AI to generate optimal travel plans based on a user's basic information and emotional information.

[1297] A "travel plan" is an itinerary proposed based on the user's wishes and feelings, and includes information on transportation, accommodation, and tourist facilities.

[1298] "Feedback information" refers to information such as the user's satisfaction with the trip and their evaluation, and is data that will be used to create the next trip plan.

[1299] "Reservation processing" refers to procedures such as arranging transportation tickets, reserving accommodation, and making advance reservations for tourist attractions.

[1300] The present invention relates to a system for personalizing travel plans and making optimal suggestions taking into account the user's emotions. A specific embodiment of this system is described below.

[1301] A user opens a travel app on a device such as a smartphone or tablet. The travel app provides an interface that accepts input from the user. The user enters basic information such as the departure point, destination, travel itinerary, travel budget, and travel style. In addition, the device is equipped with a front camera and microphone, and these hardware components are used to analyze the user's facial expressions and voice in real time to obtain emotional information.

[1302] For example, if a user inputs, "I'd like to take a 3-night, 4-day trip from Tokyo to Kyoto where I can enjoy nature. My budget is 50,000 yen," the device analyzes the voice and recognizes the user's emotions (e.g., enjoyment or excitement) from their facial expressions. This information is converted into a data format (e.g., JSON format) on the device and sent to the server using a secure communication protocol.

[1303] The server analyzes the received user's basic information and emotional information and generates an appropriate travel plan using a generative AI model. The server is connected to a large database that stores detailed data on transportation, accommodation, and tourist facilities. The server searches for information from this database and adjusts the search results based on the user's emotional state using an emotional engine.

[1304] The generated travel plan is sent from the server to the user's device and displayed within the app. A specific plan is presented, for example, as follows:

[1305] Plan 1:

[1306] Transportation: Shinkansen (Tokyo → Kyoto)

[1307] Accommodation: Hotels near Kyoto Station

[1308] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1309] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1310] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1311] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1312] Total cost: 45,000 yen

[1313] Plan 2:

[1314] Transportation: Shinkansen (Tokyo → Kyoto)

[1315] Accommodation: Riverside inn

[1316] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[1317] Day 2: Visit Mount Kurama (cable car, nature walk)

[1318] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[1319] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1320] Total cost: 48,000 yen

[1321] Once the user selects the desired plan, the information is sent back to the server via the terminal. The server then centrally manages all the booking processes, including transportation ticket arrangements, accommodation reservations, and advance reservations for tourist attractions. Once the booking is complete, the server sends a confirmation message to the terminal to notify the user.

[1322] After the trip is over, the server collects feedback information from the user. This feedback information is collected in the form of, for example, "trip satisfaction" and "ratings of tourist spots visited." The emotion engine uses this feedback information to train the generative AI model and improve the algorithm for proposing future travel plans.

[1323] An example of a prompt sentence might be as follows:

[1324] User's travel information:

[1325] Departure point: Tokyo

[1326] Destination: Kyoto

[1327] Travel budget: 50,000 yen

[1328] Trip Schedule: 3 nights, 4 days

[1329] Travel Style: Nature

[1330] User sentiment information:

[1331] Joy: High

[1332] Excitement: Moderate

[1333] Use this to generate the best itinerary for you.

[1334] In this way, the system can easily provide more personalized travel plans based on the user's emotions, significantly lowering the barriers to travel planning and booking.

[1335] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1336] Step 1: The user enters basic travel information into the terminal.

[1337] Input: Basic information such as origin, destination, travel dates, travel budget, and travel style.

[1338] Specific operation: A user opens the app on their smartphone or tablet and enters information about a trip. For example, the user enters, "I'm looking for a four-day, three-night trip from Tokyo to Kyoto where I can enjoy nature."

[1339] Output: Basic information is saved to the device.

[1340] Step 2: The device analyzes the user's facial expressions and voice to obtain emotional information.

[1341] Input: User's facial expression data, voice data.

[1342] How it works: The device uses the front camera and microphone to capture the user's facial expressions and voice in real time, then uses facial recognition and voice analysis software to analyze the emotional data. For example, the intensity of an emotion can be quantified based on a smile or excited voice.

[1343] Output: A dataset containing the captured emotion information (e.g., degree of happiness, level of excitement) is generated.

[1344] Step 3: The device converts the basic information and emotion information into JSON format and sends it to the server.

[1345] Input: Basic information, emotional information.

[1346] Specific operation: The device compiles basic information and emotion information and converts it into JSON format, such as "Departure: Tokyo", "Destination: Kyoto", "Emotion: Joy (high)", etc. It then transmits it to the server using a secure communication protocol.

[1347] Output: JSON formatted data is sent to the server.

[1348] Step 4: The server analyzes the received data and generates an optimal travel plan using a generative AI model.

[1349] Input: Basic information and sentiment information in JSON format.

[1350] Specific operation: The server parses the received JSON data and extracts the necessary information. Next, it uses an AI model (e.g., a generative model) to generate an itinerary by optimizing the information on transportation, accommodation, and tourist facilities from the database. Based on the emotional information, it selects tourist attractions and activities that match the user's level of enjoyment and excitement.

[1351] Output: Optimal travel plan data is generated.

[1352] Step 5: The server sends the generated travel plan to the user's terminal.

[1353] Input: Generated itinerary data.

[1354] What happens: The server converts the optimized travel plan data back into JSON format and sends it to the device, using a secure protocol to ensure communication security.

[1355] Output: The travel plan data is sent to the user's device.

[1356] Step 6: The terminal displays the received travel plan to the user.

[1357] Input: Travel plan data sent from the server.

[1358] What it does: The device parses the data it receives and displays it in a format appropriate for the user, including the trip itinerary, total cost, and any other necessary details.

[1359] Output: A screen will be displayed where the user can view their travel plans.

[1360] Step 7: The user selects the desired travel plan and transmits the selection information from the terminal to the server.

[1361] Input: The user's selected travel plan.

[1362] Specific operation: The user checks the travel plans and selects the desired plan. The device sends the selected plan information to the server.

[1363] Output: The selected plan information is sent to the server.

[1364] Step 8: The server processes the travel plan reservation and sends the results to the terminal.

[1365] Input: User selected travel plan information.

[1366] Specific operation: Based on the travel plan, the server will process the travel plan, such as arranging transportation tickets, booking accommodations, and pre-booking tourist attractions. After completion, it will send the results to the terminal.

[1367] Output: Notification that the reservation process is complete.

[1368] Step 9: The terminal displays a notification to the user that the reservation is complete.

[1369] Input: Reservation completion notification sent from the server.

[1370] Specific operation: The device analyzes the completion notification received and displays a notification to the user that the reservation has been completed, including details of the reservation and a confirmation number.

[1371] Output: Reservation completed.

[1372] Step 10: The server collects feedback from the user after the trip is completed.

[1373] Input: User ratings and impressions after completing the trip.

[1374] Specific operation: The server sends a questionnaire to the user requesting feedback on the trip and collects the responses. The user enters their satisfaction with the trip and their rating of each tourist spot.

[1375] Output: Feedback data collected from users.

[1376] Step 11: The server updates the generative AI model based on the feedback data to improve the next trip suggestion algorithm.

[1377] Input: Feedback data.

[1378] Specific operation: The server analyzes the collected feedback data and reflects the feedback in the generative AI model, thereby improving the accuracy of the travel plan suggestion algorithm for future trips.

[1379] Output: An improved generative AI model.

[1380] (Application example 2)

[1381] 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."

[1382] Conventional travel planning systems generate travel plans based on basic information entered by a user, but they have the problem of being unable to provide personalized travel plans that reflect the user's emotions. Furthermore, since the travel plan cannot be readjusted based on the user's emotions or feedback after it has been generated, it is pointed out that the user's satisfaction cannot be sufficiently increased. The present invention aims to solve these problems.

[1383] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1384] In this invention, the server includes a means for a user to input basic information and emotional information about the trip, a means for transmitting the input information to the server, a means for generating an optimal travel plan using AI based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, a means for re-optimizing the plan by recognizing the user's emotional state regarding the travel plan, and a means for transmitting the travel plan selected by the user to the server and processing the reservation, thereby making it possible to provide a personalized travel plan that reflects the user's emotional state.

[1385] "User" refers to an individual who uses the travel planning system or who plans and books a trip.

[1386] "Basic travel information" is a general term for information necessary for travel, such as departure point, destination, travel schedule, travel budget, and travel style.

[1387] "Emotional information" refers to emotional data obtained by analyzing the user's facial expressions and voice.

[1388] "Input means" refers to the device or method by which a user inputs basic and emotional information about a trip into the system.

[1389] "Server" refers to a computer system that receives and processes input data and generates an optimal travel plan.

[1390] "Transmitting means" refers to the technology or method by which data is sent from a user or system to another system or device.

[1391] "Using AI" refers to using artificial intelligence to analyze data and make predictions and optimizations.

[1392] The "optimal travel plan" refers to the most suitable travel schedule and content generated based on the user's conditions and emotional information.

[1393] "Means of generation" refers to the method or technique for producing specific information or results based on input data.

[1394] "Terminal" refers to an electronic device that a user uses to operate the system.

[1395] "Means of recognition" refers to the technology and devices that allow the system to understand and judge input data and the user's situation.

[1396] "Reoptimization" refers to incorporating additional information or changes to the initial plan to further refine it into an optimal state.

[1397] "Reservation processing" refers to making reservations for transportation and accommodation based on the travel plan selected by the user.

[1398] MODE FOR CARRYING OUT THE INVENTION

[1399] The present invention relates to a system that uses AI to generate an optimal travel plan based on a user's input of basic information and emotional information about the trip, and provides the plan to the user. The system of the present invention includes the following main components:

[1400] Entering basic and emotional information about the user

[1401] Users use a device such as a smartphone to input basic information about their trip (origin, destination, itinerary, budget, travel style) and emotional information. To obtain the emotional information, the device's camera and microphone are used to recognize emotions using facial recognition and voice analysis technology.

[1402] Sending data

[1403] The input basic information and emotion information are converted into an appropriate data format (e.g., JSON format) and sent to the server via an internet connection and an API request.

[1404] Generate a travel plan

[1405] The server uses AI to generate an optimal travel plan based on the received information. Using an AI model (e.g., a generative AI model), it integrates information on transportation, accommodation, tourist destinations, etc. from a travel database and proposes a personalized travel plan based on the user's conditions and emotions.

[1406] Providing generated itineraries

[1407] The generated travel plan, along with a detailed schedule, is sent to the user's device, where the user can review it. The system re-optimizes the plan as needed based on the user's reactions and additional emotional information.

[1408] Select and book your travel plan

[1409] The user selects the plan they want from the proposed options and sends that information from their device to the server. Based on the selected plan, the server then processes reservations, such as arranging transportation tickets, reserving accommodations, and making advance reservations for sightseeing spots. Once the reservation is complete, a confirmation message is sent to the user's device.

[1410] Gathering feedback and improving our algorithms

[1411] The feedback provided by users after their trip, along with emotional information, is collected and used to improve the algorithm for suggesting future travel plans.

[1412] Specific examples

[1413] For example, if a user inputs "I'm considering a trip from Tokyo to Kyoto, with a budget of 50,000 yen, for three nights and four days, where I can enjoy nature," and the generative AI model recognizes a happy expression in front of the camera, it will suggest the following itinerary:

[1414] Plan 1:

[1415] Transportation: Shinkansen (Tokyo → Kyoto)

[1416] Accommodation: Hotels near Kyoto Station

[1417] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1418] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1419] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1420] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1421] Total cost: 45,000 yen

[1422] The user selects this plan and the system automatically processes the reservation.

[1423] Prompt Sentence Examples

[1424] Example: When a user opens an app to generate a travel plan, they enter:

[1425] Departure point: Tokyo

[1426] Destination: Kyoto

[1427] Trip Schedule: 3 nights, 4 days

[1428] Travel budget: 50,000 yen

[1429] Travel Style: Nature

[1430] Facial expression data: Happy expression

[1431] Voice data: Excited voice

[1432] Using this information, it generates itineraries that include many nature-related activities.

[1433] The above is a specific embodiment of the present invention. This system makes it possible to provide a travel plan based on the individual needs and emotions of the user, thereby realizing a more satisfying travel experience.

[1434] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1435] Step 1:

[1436] The user enters basic information and emotional information about the trip.

[1437] Input: departure point, destination, travel itinerary, travel budget, travel style, facial expression and voice data.

[1438] Data processing and calculation: Using the smartphone's camera and microphone to recognize facial expressions and voice data and analyze emotions, specifically through the use of facial recognition software and voice analysis algorithms.

[1439] Output: Basic information and sentiment information (e.g., in JSON format).

[1440] Step 2:

[1441] The entered basic information and emotional information are sent to the server.

[1442] Input: Basic information and sentiment information (JSON format).

[1443] Data processing and calculation: The smartphone converts the data into an appropriate format and sends it to the server using the HTTPS protocol.

[1444] Output: The data sent to the server side.

[1445] Step 3:

[1446] The server uses AI to generate the optimal travel plan based on the information received.

[1447] Input: User's basic information and emotional information.

[1448] Data processing and calculation: The server uses the generative AI model to generate a travel plan. Specifically, it retrieves information on transportation, accommodation, and tourist spots from the database and creates a plan that suits the user's requirements.

[1449] Output: The generated itinerary.

[1450] Step 4:

[1451] The generated travel plan is sent to the user's terminal.

[1452] Input: The generated itinerary.

[1453] Data processing and calculation: Plan information is sent from the server to the user's device in JSON format, etc., using the HTTPS protocol.

[1454] Output: The itinerary displayed on the user's device.

[1455] Step 5:

[1456] The user selects the desired plan from the proposed travel plans.

[1457] Input: A list of itineraries displayed to the user.

[1458] Data processing and data calculation: Sends information about the plan selected by the user to the server.

[1459] Output: Information about the itinerary selected by the user.

[1460] Step 6:

[1461] The server processes the reservation based on the selected travel plan.

[1462] Input: Information about the travel plan selected by the user.

[1463] Data processing and data calculation: The server requests each terminal to arrange transportation tickets, book accommodations, and make advance reservations for tourist attractions, and completes the reservations.

[1464] Output: Confirmation of successful booking.

[1465] Step 7:

[1466] The user's terminal is notified that the reservation has been completed.

[1467] Input: Reservation confirmation information.

[1468] Data processing and data calculation: A confirmation message is sent from the server to the user's device using the HTTPS protocol.

[1469] Output: A booking confirmation message that will be displayed on the user's device.

[1470] Step 8:

[1471] After the trip, feedback from users is collected to improve the suggestion algorithm for future trips.

[1472] Input: User's post-trip feedback.

[1473] Data processing and calculation: The server collects feedback data, including emotional information, and uses it to improve the AI ​​model.

[1474] Output: An improved itinerary suggestion algorithm.

[1475] 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.

[1476] 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.

[1477] 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.

[1478] [Fourth embodiment]

[1479] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1480] 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.

[1481] 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).

[1482] 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.

[1483] 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.

[1484] 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).

[1485] 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.

[1486] 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.

[1487] 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.

[1488] 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.

[1489] 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.

[1490] 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.

[1491] 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."

[1492] The present invention relates to a system that allows users to input basic information about their trip, generate an optimal travel plan using AI based on that information, and then book the plan selected by the user.

[1493] A user inputs basic information about a trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone. For example, a user inputs information such as "The budget for a trip from Tokyo to Kyoto is 50,000 yen, and it will be a 3-night, 4-day trip where you can enjoy nature."

[1494] The device converts the input information into an appropriate data format and sends it to the server. The server analyzes the received data and begins processing to generate a travel plan based on the user's preferences. In this process, an AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule). Specifically, the server searches a database for information on transportation, accommodations, tourist attractions, etc., and filters them.

[1495] The generated travel plan is sent to the user's terminal together with a detailed schedule, for example, as follows.

[1496] Plan 1:

[1497] Transportation: Shinkansen (Tokyo → Kyoto)

[1498] Accommodation: Hotels near Kyoto Station

[1499] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1500] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1501] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1502] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1503] Total cost: 45,000 yen

[1504] Plan 2:

[1505] Transportation: Shinkansen (Tokyo → Kyoto)

[1506] Accommodation: Riverside inn

[1507] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[1508] Day 2: Visit Mount Kurama (cable car, nature walk)

[1509] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[1510] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1511] Total cost: 48,000 yen

[1512] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for tourist attractions. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[1513] In this way, the system of the present invention allows users to easily find the optimal travel plan based on their desired conditions and allows them to complete the travel reservation procedure centrally on their terminal, significantly lowering the hurdles to planning and booking a trip.

[1514] The processing flow will be explained below.

[1515] Step 1:

[1516] The user inputs basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone.

[1517] Step 2:

[1518] The device converts the user's input information into an appropriate data format (e.g., JSON format) and sends it to the server.

[1519] Step 3:

[1520] The server receives the input information and analyzes it.

[1521] Step 4:

[1522] The server accesses the database and searches for and retrieves data on transportation options (e.g., airplanes, bullet trains), accommodations (e.g., hotels, inns), tourist attractions, etc. that match the user's criteria.

[1523] Step 5:

[1524] The server uses an AI model to generate multiple optimal travel plans based on the acquired data.

[1525] Step 6:

[1526] The server transmits the generated travel plan to the terminal.

[1527] Step 7:

[1528] The terminal displays the received travel plans to the user, and a screen is displayed that allows the user to select the plan they want.

[1529] Step 8:

[1530] The user selects the desired plan and presses the "Book" button.

[1531] Step 9:

[1532] The terminal transmits information about the selected plan to the server.

[1533] Step 10:

[1534] Based on the plan information received by the server, reservations such as reservations for transportation, accommodation, and tourist attractions are made.

[1535] Step 11:

[1536] The server checks the result of the reservation process, and if successful, sends a reservation confirmation message to the terminal.

[1537] Step 12:

[1538] The device receives the reservation confirmation message and displays it to the user, allowing them to view the reservation details.

[1539] By following these steps, the user can smoothly go through a series of processes from creating a travel plan to completing a reservation.

[1540] Example 1

[1541] 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."

[1542] In today's busy lifestyles, planning and booking trips can be a time-consuming and stressful process for many people. It can be especially difficult to find a plan that best suits your budget, style, and other individual requirements. Therefore, there is a need for a system that allows users to easily create travel plans and quickly complete booking procedures.

[1543] 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.

[1544] In this invention, the server includes a means for a user to input basic information about a trip, a means for transmitting the input information from a terminal to the server, a means for generating an optimal travel plan using a generative AI model based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, and a means for transmitting a travel plan selected by the user to the server and processing a reservation. This allows the user to perform all processes from creating a travel plan to making a reservation in an integrated manner.

[1545] "User" refers to an individual or organization that uses the system to create travel plans and make reservations.

[1546] "Basic travel information" refers to information required when planning a trip, such as the departure point, destination, travel dates, travel budget, and travel style.

[1547] A "terminal" is a device through which a user inputs information and receives a generated travel plan, and examples include smartphones, tablets, and personal computers.

[1548] "Server" refers to a computer system that receives and analyzes information sent from a user's device, generates a travel plan using a generative AI model, and transmits the results to the user's device.

[1549] A "generative AI model" refers to an artificial intelligence model that uses techniques such as machine learning and deep learning to process input data and generate optimal results.

[1550] A "travel plan" refers to a specific travel schedule that includes information on transportation, accommodations, tourist attractions, etc. and is generated based on the user's conditions and wishes.

[1551] "Reservation processing" refers to the series of procedures that involve arranging transportation, booking accommodation, and making advance reservations for tourist attractions based on the travel plan selected by the user, and then finalizing the reservation.

[1552] The present invention relates to a system that allows users to input basic information about their trip, generate an optimal travel plan using a generative AI model based on that information, and then book the plan selected by the user.

[1553] Users input basic travel information (origin, destination, travel schedule, travel budget, travel style) on devices such as smartphones, tablets, and personal computers. For example, suppose a user inputs the following information:

[1554] Departure point: Tokyo

[1555] Destination: Kyoto

[1556] Trip Schedule: 3 nights, 4 days

[1557] Travel budget: 50,000 yen

[1558] Travel style: Traveling to enjoy nature

[1559] The device converts the input information into an appropriate data format (such as JSON) and sends it to the server. The server analyzes the received data and begins the process of generating a travel plan based on the user's preferences. In this process, a generative AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule).

[1560] Specifically, the server searches and filters information such as transportation, accommodation, and tourist attractions from a database. Then, using a generative AI model (such as GPT-4), it inputs appropriate prompts and generates an optimal travel plan. Examples of prompts are as follows:

[1561] I'm planning a trip from Tokyo to Kyoto. My budget is 50,000 yen, the trip will be 3 nights and 4 days, and I would like to travel in a style that allows me to enjoy nature. What is the best travel plan?

[1562] The generated travel plan is sent to the user's terminal along with a detailed schedule. For example, the following plan may be generated:

[1563] Plan 1:

[1564] Transportation: Shinkansen (Tokyo → Kyoto)

[1565] Accommodation: Hotels near Kyoto Station

[1566] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1567] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1568] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1569] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1570] Total cost: 45,000 yen

[1571] Plan 2:

[1572] Transportation: Shinkansen (Tokyo → Kyoto)

[1573] Accommodation: Riverside inn

[1574] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[1575] Day 2: Visit Mount Kurama (cable car, nature walk)

[1576] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[1577] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1578] Total cost: 48,000 yen

[1579] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for tourist attractions. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[1580] In this way, the system of the present invention allows users to easily find the optimal travel plan based on their desired conditions and allows them to complete the travel reservation procedure centrally on their terminal, significantly lowering the hurdles to planning and booking a trip.

[1581] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1582] Step 1:

[1583] User: Enter basic travel information on the device.

[1584] Input: origin, destination, travel dates, travel budget, travel style.

[1585] Data processing: The entered information is stored in temporary variables within the program.

[1586] Output: Basic information about the trip stored in temporary variables.

[1587] Specific actions: The user enters information into a form displayed on the screen of a smartphone or PC and presses the "Submit" button.

[1588] Step 2:

[1589] Terminal: Converts the input information into the appropriate data format and sends it to the server.

[1590] Input: Basic information entered by the user.

[1591] Data processing: Serialize form data into formats such as JSON or XML within the program.

[1592] Output: The data package sent to the server.

[1593] Specific operation: The converted data is stored in the body of the HTTP request and sent to the server.

[1594] Step 3:

[1595] Server: Receives and analyzes data sent from the device.

[1596] Input: Data package sent from the terminal.

[1597] Data processing: Deserialize the received data, extract each item (departure point, destination, travel schedule, travel budget, travel style) and store them in variables.

[1598] Output: Parsed basic information.

[1599] Specific actions: Receives HTTP requests and converts data from JSON or XML format into variables within the program.

[1600] Step 4:

[1601] Server: Generates a travel plan using a generative AI model based on the analyzed data.

[1602] Input: Parsed basic information (origin, destination, travel dates, travel budget, travel style).

[1603] Data processing: The analyzed data is input as prompts into the generative AI model to generate an appropriate travel plan.

[1604] Output: The generated itinerary.

[1605] Specific operation: Input the following prompt into a generative AI model (e.g., GPT-4): "Please tell me a 3-night, 4-day trip from Tokyo to Kyoto with a budget of 50,000 yen, where I can enjoy nature."

[1606] Step 5:

[1607] Server: Sends the generated travel plan to the user's device.

[1608] Input: The generated itinerary.

[1609] Data processing: Serialize travel plans into JSON or XML format.

[1610] Output: The data package sent to the device.

[1611] Specific operation: The generated plan is sent to the terminal as an HTTP response.

[1612] Step 6:

[1613] Terminal: Displays the received travel plan to the user.

[1614] Input: The data package sent by the server.

[1615] Data processing: Deserialize the received data and display each item (transportation, accommodation, tourist attractions, etc.) on the screen.

[1616] Output: The itinerary displayed on the screen.

[1617] Specific behavior: Deserializes the received plan and displays it in the user interface.

[1618] Step 7:

[1619] User: Select the desired plan from the displayed plans.

[1620] Input: Multiple travel plans displayed on the screen.

[1621] Data processing: Store the user's selection in a variable within the program.

[1622] Output: The selected itinerary.

[1623] Specific operation: The user selects the desired plan and presses the "OK" button.

[1624] Step 8:

[1625] Device: Sends the selected plan information to the server.

[1626] Input: The selected itinerary.

[1627] Data processing: Serialize the selected plan into JSON or XML format.

[1628] Output: The data package sent to the server.

[1629] Specific operation: The converted data is stored in the body of the HTTP request and sent to the server.

[1630] Step 9:

[1631] Server: Process the reservation based on the information of the selected plan.

[1632] Input: The selected itinerary.

[1633] Data processing: Arranging transportation tickets, booking accommodation, and making advance reservations for tourist attractions.

[1634] Output: Information about the completed reservation.

[1635] Specific operations: Call the APIs of various reservation services and complete the reservation.

[1636] Step 10:

[1637] Server: After the reservation is completed, send a confirmation message to the device.

[1638] Input: Information with which the reservation was completed.

[1639] Data processing: Generate a message containing the reservation ID and confirmation information, and serialize it into JSON or XML format.

[1640] Output: A confirmation message sent to the terminal.

[1641] Specific operation: The generated confirmation message is sent to the terminal as an HTTP response.

[1642] Step 11:

[1643] Terminal: Notifies the user of the received confirmation message.

[1644] Input: The confirmation message sent by the server.

[1645] Data processing: Deserialize the confirmation message and display it on the screen or notify it.

[1646] Output: A confirmation message sent to the user.

[1647] Specific action: Display a reservation completion message on the screen or send a push notification.

[1648] (Application example 1)

[1649] 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."

[1650] There is a demand for a convenient method that allows users to complete the entire process, from creating travel plans to booking and payment, all in one system. Conventional methods require users to use multiple sites and services to individually collect information and go through multiple steps to make reservations and payments, which is cumbersome. In addition, there has been a lack of systems that automatically provide the optimal travel plan that meets the user's needs. This has resulted in high hurdles to creating travel plans and bookings, and the challenges of time and effort.

[1651] 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.

[1652] In this invention, the server includes a means for a user to input basic information about a trip, a means for transmitting the input information to the server, a means for generating an optimal travel plan using a generative AI model based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, and a means for transmitting a travel plan selected by the user to the server and performing reservation processing and electronic payment processing. This allows a user to easily obtain an optimal travel plan based on their requirements, and also enables travel reservation procedures and payment to be performed in a unified manner.

[1653] A "user" is a person who uses the system to input travel information and receive optimized travel plans.

[1654] "Basic information" is information entered by the user regarding the trip, such as the departure point, destination, travel schedule, travel budget, and travel style.

[1655] The "server" is a computer system whose role is to receive basic travel information sent by the user, generate an optimal travel plan using a generative AI model, and send it to the user's terminal.

[1656] A "generative AI model" is an artificial intelligence algorithm that analyzes basic travel information entered by the user and automatically generates the optimal travel plan.

[1657] A "travel plan" is a set of travel schedules including transportation, accommodation, and tourist destination information created by a generative AI model based on the user's requirements.

[1658] A "terminal" is a device that a user uses to enter basic information about a trip, receive generated itineraries, and select them.

[1659] "Reservation Processing" refers to the process of making a batch reservation of transportation, accommodation, and attractions based on a selected travel plan.

[1660] "Electronic payment processing" refers to the process by which a user electronically pays for the cost of a selected travel plan.

[1661] The present invention relates to a system that allows users to input basic travel information, generate an optimal travel plan based on that information using a generative AI model, and then book and pay electronically for the selected plan. The system mainly consists of a server and a user terminal.

[1662] System Configuration

[1663] Hardware

[1664] server

[1665] Smartphone or tablet (user device)

[1666] software

[1667] Generative AI models (e.g., GPT-4 API)

[1668] Travel plan generation service using REST API

[1669] Electronic payment systems (e.g., Stripe, PayPal)

[1670] Operating procedures and process flows

[1671] 1. The user enters basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on the user's device.

[1672] 2. The device converts the entered basic information into an appropriate data format, such as JSON, and sends it to the server.

[1673] 3. The server analyzes the received data and uses a generative AI model to generate a travel plan that best suits the user's preferences. Specifically, the server searches and filters information on transportation, accommodation, and tourist attractions from its database.

[1674] 4. The generated travel plan, along with a detailed schedule, is sent to the user's device.

[1675] 5. The user checks the plan details and selects the desired plan. The information about the selected plan is sent from the device to the server.

[1676] 6. The server processes the reservation based on the selected plan and then immediately completes the payment process using an electronic payment system.

[1677] 7. Once the reservation and payment are complete, a confirmation message will be sent to the user's device to notify them.

[1678] Usage example

[1679] For example, a user enters the following information:

[1680] Departure point: Tokyo

[1681] Destination: Kyoto

[1682] Travel dates: December 1, 2023 to December 4, 2023

[1683] Budget: 50,000 yen

[1684] Style: Nature

[1685] Example prompt statement for generated plan:

[1686] {"departure": "Tokyo", "destination": "Kyoto", "dates": "2023-12-01 to 2023-12-04", "budget": 50000, "style": "Nature"}

[1687] Based on this information, the server uses a generative AI model to generate a plan like this:

[1688] Plan 1:

[1689] Transportation: Shinkansen (Tokyo → Kyoto)

[1690] Accommodation: Hotels near Kyoto Station

[1691] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1692] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1693] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1694] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1695] Total cost: 45,000 yen

[1696] This allows users to easily obtain the optimal travel plan based on their requirements, and to make reservations and payments all in one place.

[1697] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1698] Step 1:

[1699] The user inputs basic information about the trip (origin, destination, travel itinerary, travel budget, travel style) into the terminal. The input basic information is converted into an appropriate data format such as JSON. The terminal then sends the converted basic information to the server. The input is detailed travel data, and the output is the travel information sent to the server.

[1700] Step 2:

[1701] The server receives the basic information sent from the device. It analyzes the received basic information and creates prompts for generating travel plans. Specifically, the server analyzes the sent data, extracts the necessary data, and formats it into a form suitable for the generative AI model. The input is the travel information sent from the device, and the output is the generated prompts.

[1702] Step 3:

[1703] The server uses a generative AI model (e.g., GPT-4 API) to generate an optimal travel plan based on the user's basic information. The server inputs the prompt text into the generative AI model and generates the optimal travel plan. The generated travel plan is converted into an appropriate data format, such as JSON. The input is the prompt text, and the output is the generated travel plan.

[1704] Step 4:

[1705] The server sends the generated itinerary to the user's terminal. Specifically, the server notifies the user's terminal of the generated itinerary and displays the detailed plan. The input is the generated itinerary, and the output is the itinerary sent to the user's terminal.

[1706] Step 5:

[1707] The user selects the desired plan from multiple travel plans displayed on the terminal. Information about the selected plan is sent from the terminal to the server. The input is the generated travel plan, and the output is information about the selected travel plan.

[1708] Step 6:

[1709] The server processes the reservation based on the selected travel plan. Specifically, the server makes reservations for transportation, accommodation, and tourist attractions all at once. The input is information about the selected travel plan, and the output is information about the completion of the reservation process.

[1710] Step 7:

[1711] After the reservation process is completed, the server processes the payment using an electronic payment system. Specifically, the server checks the cost through an electronic payment system (e.g., Stripe, PayPal) and executes the payment. The input is reservation process completion information, and the output is payment completion information.

[1712] Step 8:

[1713] Once the reservation and payment are completed, a confirmation message is sent from the server to the user's terminal, notifying them of the details of the travel plan and the completion of the reservation and payment. The input is the payment completion information, and the output is the confirmation message sent to the user's terminal.

[1714] 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.

[1715] This invention relates to a system that allows users to input basic travel information, generate an optimal travel plan using AI based on that information, and then book the plan selected by the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system aims to provide a more personalized travel plan.

[1716] A user inputs basic information about a trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone. For example, a user inputs information such as "The budget for a trip from Tokyo to Kyoto is 50,000 yen, and it will be a 3-night, 4-day trip where you can enjoy nature." At this time, the device recognizes the user's emotions using facial recognition, voice analysis, and other methods.

[1717] The device converts the input information and emotional information into an appropriate data format (e.g., JSON format) and sends it to the server. The server analyzes the received data and begins processing to generate a travel plan based on the user's preferences. In this process, an AI model is used to integrate the collected information and propose a travel plan that best suits the user's criteria (budget, style, schedule). Specifically, the server searches a database for data on transportation, accommodation, tourist attractions, etc., and performs filtering.

[1718] The emotion engine analyzes the user's emotional information and uses the results to optimize travel plan suggestions. For example, if a user selects "nature" as their travel style and detects a happy expression or excited voice, the engine will increase the number and priority of nature-related tourist attractions and activities. On the other hand, if a bored expression is detected, the engine will re-optimize the content of the plan.

[1719] The generated travel plan is sent to the user's terminal together with a detailed schedule, for example, as follows.

[1720] Plan 1:

[1721] Transportation: Shinkansen (Tokyo → Kyoto)

[1722] Accommodation: Hotels near Kyoto Station

[1723] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1724] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1725] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1726] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1727] Total cost: 45,000 yen

[1728] Plan 2:

[1729] Transportation: Shinkansen (Tokyo → Kyoto)

[1730] Accommodation: Riverside inn

[1731] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[1732] Day 2: Visit Mount Kurama (cable car, nature walk)

[1733] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[1734] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1735] Total cost: 48,000 yen

[1736] The user checks the details of the plans and selects the one they want. The information about the selected plan is sent from the terminal to the server, and the server processes the reservation. This reservation process includes arranging transportation tickets, reserving accommodations, and making advance reservations for sightseeing spots. Once the reservation is complete, a confirmation message is sent to the terminal to notify the user.

[1737] The emotion engine also collects user feedback and learns from it to improve its algorithms for future itinerary suggestions. For example, if a user's satisfaction with a tourist spot they visited or their accommodation rating is high, the engine can use this data to refine its next itinerary suggestions.

[1738] In this way, the system of the present invention allows users to easily obtain a more personalized travel plan based on their own emotions, and also allows them to complete the travel reservation procedure centrally on their terminal, thereby significantly lowering the hurdles to planning and booking a trip.

[1739] The processing flow will be explained below.

[1740] Step 1:

[1741] The user inputs basic information about the trip (departure point, destination, travel schedule, travel budget, travel style) on a device such as a smartphone.

[1742] Step 2:

[1743] The device recognizes the user's emotions using facial recognition and voice analysis while receiving user input. For example, emotion data is generated by analyzing the user's facial expressions and tone of voice through a camera or microphone.

[1744] Step 3:

[1745] The device converts the input information and emotion data into an appropriate data format (e.g., JSON format) and sends it to the server.

[1746] Step 4:

[1747] The server receives and analyzes the input information and emotional data, which is used to predict user preferences and satisfaction.

[1748] Step 5:

[1749] The server accesses the database and searches for and retrieves data on transportation options (e.g., airplanes, bullet trains), accommodations (e.g., hotels, inns), tourist attractions, etc. that match the user's criteria.

[1750] Step 6:

[1751] The server uses an AI model to generate multiple optimal travel plans based on the acquired data, and an emotion engine adjusts the priority and content of the plans based on the user's emotional data.

[1752] Step 7:

[1753] The server transmits the generated travel plan to the terminal.

[1754] Step 8:

[1755] The device displays the received travel plans to the user. For example, an overview of Plan 1 and Plan 2 is displayed.

[1756] Step 9:

[1757] The user selects the plan they want, and their facial and vocal reactions are continuously analyzed and their emotions are overwritten.

[1758] Step 10:

[1759] The user confirms the details of the plan they have selected and presses the "Book" button.

[1760] Step 11:

[1761] The terminal transmits information about the selected plan to the server.

[1762] Step 12:

[1763] Based on the plan information received by the server, the server processes reservations such as reservations for transportation, accommodation, and sightseeing spots. The emotion engine considers the user's reaction data when booking the plan and further adjusts the proposal content as necessary.

[1764] Step 13:

[1765] The server checks the result of the reservation process, and if successful, sends a reservation confirmation message to the terminal.

[1766] Step 14:

[1767] The device receives the reservation confirmation message and displays it to the user, allowing them to view reservation details (e.g., electronic tickets, accommodation information, sightseeing plans).

[1768] Step 15:

[1769] The emotion engine collects user feedback and learns from it to improve its itinerary suggestion algorithms for future trips. For example, satisfaction with specific attractions or accommodations can be recorded and reflected in future suggestions.

[1770] By following these steps, the user can smoothly carry out the process from creating a travel plan to completing a reservation in a manner that reflects emotional information.

[1771] Example 2

[1772] 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."

[1773] Previously, systems that personalized travel plans mainly based their suggestions on the user's basic information, and improving the accuracy of plans that reflected the user's emotions and preferences was a challenge. It was also difficult to centrally manage the travel reservation process, and the time and effort required for travel planning was a problem. Furthermore, there was an insufficient mechanism for utilizing user feedback in future proposals, leaving a need for improved user satisfaction.

[1774] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1775] In this invention, the server includes: a means for a user to input basic information about a trip; a means for transmitting the input information and the user's emotional information from the terminal to the server; a means for generating an optimal travel plan using a generative model based on the transmitted information and emotional information; a means for transmitting the generated travel plan to the user's terminal and displaying it; a means for transmitting the travel plan selected by the user to the server and processing the reservation; a means for notifying the user's terminal of the completion of the reservation process; and a means for collecting feedback information from the user. This enables personalized travel plans to be proposed based on the user's emotions, and allows for centralized management of travel reservation procedures, significantly reducing the effort required for travel planning. Furthermore, by utilizing user feedback in future proposals, user satisfaction can be improved.

[1776] A "user" is an individual who uses the system to create a travel plan and make a reservation.

[1777] "Basic information" is information about a trip entered by a user, including the departure point, destination, travel itinerary, travel budget, and travel style.

[1778] "Emotion information" is data relating to emotions acquired from the user's facial expressions, voice, etc.

[1779] A "terminal" is a device operated by a user, and includes devices such as smartphones and tablets.

[1780] A "server" is a computer system that manages information sent by users, creates travel plans, and handles booking procedures.

[1781] A "generative model" is an algorithm that uses AI to generate optimal travel plans based on a user's basic information and emotional information.

[1782] A "travel plan" is an itinerary proposed based on the user's wishes and feelings, and includes information on transportation, accommodation, and tourist facilities.

[1783] "Feedback information" refers to information such as the user's satisfaction with the trip and their evaluation, and is data that will be used to create the next trip plan.

[1784] "Reservation processing" refers to procedures such as arranging transportation tickets, reserving accommodation, and making advance reservations for tourist attractions.

[1785] The present invention relates to a system for personalizing travel plans and making optimal suggestions taking into account the user's emotions. A specific embodiment of this system is described below.

[1786] A user opens a travel app on a device such as a smartphone or tablet. The travel app provides an interface that accepts input from the user. The user enters basic information such as the departure point, destination, travel itinerary, travel budget, and travel style. In addition, the device is equipped with a front camera and microphone, and these hardware components are used to analyze the user's facial expressions and voice in real time to obtain emotional information.

[1787] For example, if a user inputs, "I'd like to take a 3-night, 4-day trip from Tokyo to Kyoto where I can enjoy nature. My budget is 50,000 yen," the device analyzes the voice and recognizes the user's emotions (e.g., enjoyment or excitement) from their facial expressions. This information is converted into a data format (e.g., JSON format) on the device and sent to the server using a secure communication protocol.

[1788] The server analyzes the received user's basic information and emotional information and generates an appropriate travel plan using a generative AI model. The server is connected to a large database that stores detailed data on transportation, accommodation, and tourist facilities. The server searches for information from this database and adjusts the search results based on the user's emotional state using an emotional engine.

[1789] The generated travel plan is sent from the server to the user's device and displayed within the app. A specific plan is presented, for example, as follows:

[1790] Plan 1:

[1791] Transportation: Shinkansen (Tokyo → Kyoto)

[1792] Accommodation: Hotels near Kyoto Station

[1793] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1794] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1795] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1796] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1797] Total cost: 45,000 yen

[1798] Plan 2:

[1799] Transportation: Shinkansen (Tokyo → Kyoto)

[1800] Accommodation: Riverside inn

[1801] Day 1: 13:00 Arrival and visit Kiyomizu-dera Temple

[1802] Day 2: Visit Mount Kurama (cable car, nature walk)

[1803] Day 3: Visit to Kosanji Temple, Sagano Scenic Railway

[1804] Day 4: Visit the five-story pagoda, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1805] Total cost: 48,000 yen

[1806] Once the user selects the desired plan, the information is sent back to the server via the terminal. The server then centrally manages all the booking processes, including transportation ticket arrangements, accommodation reservations, and advance reservations for tourist attractions. Once the booking is complete, the server sends a confirmation message to the terminal to notify the user.

[1807] After the trip is over, the server collects feedback information from the user. This feedback information is collected in the form of, for example, "trip satisfaction" and "ratings of tourist spots visited." The emotion engine uses this feedback information to train the generative AI model and improve the algorithm for proposing future travel plans.

[1808] An example of a prompt sentence might be as follows:

[1809] User's travel information:

[1810] Departure point: Tokyo

[1811] Destination: Kyoto

[1812] Travel budget: 50,000 yen

[1813] Trip Schedule: 3 nights, 4 days

[1814] Travel Style: Nature

[1815] User sentiment information:

[1816] Joy: High

[1817] Excitement: Moderate

[1818] Use this to generate the best itinerary for you.

[1819] In this way, the system can easily provide more personalized travel plans based on the user's emotions, significantly lowering the barriers to travel planning and booking.

[1820] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1821] Step 1: The user enters basic travel information into the terminal.

[1822] Input: Basic information such as origin, destination, travel dates, travel budget, and travel style.

[1823] Specific operation: A user opens the app on their smartphone or tablet and enters information about a trip. For example, the user enters, "I'm looking for a four-day, three-night trip from Tokyo to Kyoto where I can enjoy nature."

[1824] Output: Basic information is saved to the device.

[1825] Step 2: The device analyzes the user's facial expressions and voice to obtain emotional information.

[1826] Input: User's facial expression data, voice data.

[1827] How it works: The device uses the front camera and microphone to capture the user's facial expressions and voice in real time, then uses facial recognition and voice analysis software to analyze the emotional data. For example, the intensity of an emotion can be quantified based on a smile or excited voice.

[1828] Output: A dataset containing the captured emotion information (e.g., degree of happiness, level of excitement) is generated.

[1829] Step 3: The device converts the basic information and emotion information into JSON format and sends it to the server.

[1830] Input: Basic information, emotional information.

[1831] Specific operation: The device compiles basic information and emotion information and converts it into JSON format, such as "Departure: Tokyo", "Destination: Kyoto", "Emotion: Joy (high)", etc. It then transmits it to the server using a secure communication protocol.

[1832] Output: JSON formatted data is sent to the server.

[1833] Step 4: The server analyzes the received data and generates an optimal travel plan using a generative AI model.

[1834] Input: Basic information and sentiment information in JSON format.

[1835] Specific operation: The server parses the received JSON data and extracts the necessary information. Next, it uses an AI model (e.g., a generative model) to generate an itinerary by optimizing the information on transportation, accommodation, and tourist facilities from the database. Based on the emotional information, it selects tourist attractions and activities that match the user's level of enjoyment and excitement.

[1836] Output: Optimal travel plan data is generated.

[1837] Step 5: The server sends the generated travel plan to the user's terminal.

[1838] Input: Generated itinerary data.

[1839] What happens: The server converts the optimized travel plan data back into JSON format and sends it to the device, using a secure protocol to ensure communication security.

[1840] Output: The travel plan data is sent to the user's device.

[1841] Step 6: The terminal displays the received travel plan to the user.

[1842] Input: Travel plan data sent from the server.

[1843] What it does: The device parses the data it receives and displays it in a format appropriate for the user, including the trip itinerary, total cost, and any other necessary details.

[1844] Output: A screen will be displayed where the user can view their travel plans.

[1845] Step 7: The user selects the desired travel plan and transmits the selection information from the terminal to the server.

[1846] Input: The user's selected travel plan.

[1847] Specific operation: The user checks the travel plans and selects the desired plan. The device sends the selected plan information to the server.

[1848] Output: The selected plan information is sent to the server.

[1849] Step 8: The server processes the travel plan reservation and sends the results to the terminal.

[1850] Input: User selected travel plan information.

[1851] Specific operation: Based on the travel plan, the server will process the travel plan, such as arranging transportation tickets, booking accommodations, and pre-booking tourist attractions. After completion, it will send the results to the terminal.

[1852] Output: Notification that the reservation process is complete.

[1853] Step 9: The terminal displays a notification to the user that the reservation is complete.

[1854] Input: Reservation completion notification sent from the server.

[1855] Specific operation: The device analyzes the completion notification received and displays a notification to the user that the reservation has been completed, including details of the reservation and a confirmation number.

[1856] Output: Reservation completed.

[1857] Step 10: The server collects feedback from the user after the trip is completed.

[1858] Input: User ratings and impressions after completing the trip.

[1859] Specific operation: The server sends a questionnaire to the user requesting feedback on the trip and collects the responses. The user enters their satisfaction with the trip and their rating of each tourist spot.

[1860] Output: Feedback data collected from users.

[1861] Step 11: The server updates the generative AI model based on the feedback data to improve the next trip suggestion algorithm.

[1862] Input: Feedback data.

[1863] Specific operation: The server analyzes the collected feedback data and reflects the feedback in the generative AI model, thereby improving the accuracy of the travel plan suggestion algorithm for future trips.

[1864] Output: An improved generative AI model.

[1865] (Application example 2)

[1866] 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."

[1867] Conventional travel planning systems generate travel plans based on basic information entered by a user, but they have the problem of being unable to provide personalized travel plans that reflect the user's emotions. Furthermore, since the travel plan cannot be readjusted based on the user's emotions or feedback after it has been generated, it is pointed out that the user's satisfaction cannot be sufficiently increased. The present invention aims to solve these problems.

[1868] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1869] In this invention, the server includes a means for a user to input basic information and emotional information about the trip, a means for transmitting the input information to the server, a means for generating an optimal travel plan using AI based on the transmitted information, a means for transmitting the generated travel plan to the user's terminal, a means for re-optimizing the plan by recognizing the user's emotional state regarding the travel plan, and a means for transmitting the travel plan selected by the user to the server and processing the reservation, thereby making it possible to provide a personalized travel plan that reflects the user's emotional state.

[1870] "User" refers to an individual who uses the travel planning system or who plans and books a trip.

[1871] "Basic travel information" is a general term for information necessary for travel, such as departure point, destination, travel schedule, travel budget, and travel style.

[1872] "Emotional information" refers to emotional data obtained by analyzing the user's facial expressions and voice.

[1873] "Input means" refers to the device or method by which a user inputs basic and emotional information about a trip into the system.

[1874] "Server" refers to a computer system that receives and processes input data and generates an optimal travel plan.

[1875] "Transmitting means" refers to the technology or method by which data is sent from a user or system to another system or device.

[1876] "Using AI" refers to using artificial intelligence to analyze data and make predictions and optimizations.

[1877] The "optimal travel plan" refers to the most suitable travel schedule and content generated based on the user's conditions and emotional information.

[1878] "Means of generation" refers to the method or technique for producing specific information or results based on input data.

[1879] "Terminal" refers to an electronic device that a user uses to operate the system.

[1880] "Means of recognition" refers to the technology and devices that allow the system to understand and judge input data and the user's situation.

[1881] "Reoptimization" refers to incorporating additional information or changes to the initial plan to further refine it into an optimal state.

[1882] "Reservation processing" refers to making reservations for transportation and accommodation based on the travel plan selected by the user.

[1883] MODE FOR CARRYING OUT THE INVENTION

[1884] The present invention relates to a system that uses AI to generate an optimal travel plan based on a user's input of basic information and emotional information about the trip, and provides the plan to the user. The system of the present invention includes the following main components:

[1885] Entering basic and emotional information about the user

[1886] Users use a device such as a smartphone to input basic information about their trip (origin, destination, itinerary, budget, travel style) and emotional information. To obtain the emotional information, the device's camera and microphone are used to recognize emotions using facial recognition and voice analysis technology.

[1887] Sending data

[1888] The input basic information and emotion information are converted into an appropriate data format (e.g., JSON format) and sent to the server via an internet connection and an API request.

[1889] Generate a travel plan

[1890] The server uses AI to generate an optimal travel plan based on the received information. Using an AI model (e.g., a generative AI model), it integrates information on transportation, accommodation, tourist destinations, etc. from a travel database and proposes a personalized travel plan based on the user's conditions and emotions.

[1891] Providing generated itineraries

[1892] The generated travel plan, along with a detailed schedule, is sent to the user's device, where the user can review it. The system re-optimizes the plan as needed based on the user's reactions and additional emotional information.

[1893] Select and book your travel plan

[1894] The user selects the plan they want from the proposed options and sends that information from their device to the server. Based on the selected plan, the server then processes reservations, such as arranging transportation tickets, reserving accommodations, and making advance reservations for sightseeing spots. Once the reservation is complete, a confirmation message is sent to the user's device.

[1895] Gathering feedback and improving our algorithms

[1896] The feedback provided by users after their trip, along with emotional information, is collected and used to improve the algorithm for suggesting future travel plans.

[1897] Specific examples

[1898] For example, if a user inputs "I'm considering a trip from Tokyo to Kyoto, with a budget of 50,000 yen, for three nights and four days, where I can enjoy nature," and the generative AI model recognizes a happy expression in front of the camera, it will suggest the following itinerary:

[1899] Plan 1:

[1900] Transportation: Shinkansen (Tokyo → Kyoto)

[1901] Accommodation: Hotels near Kyoto Station

[1902] Day 1: 13:00 Arrival and visit Kyoto Aquarium

[1903] Day 2: Visit Arashiyama (Bamboo Forest Path, Togetsukyo Bridge)

[1904] Day 3: Visit Ginkakuji Temple and stroll along the Philosopher's Path

[1905] Day 4: Visit Kyoto Gyoen National Garden, 14:00 Shinkansen departure (Kyoto → Tokyo)

[1906] Total cost: 45,000 yen

[1907] The user selects this plan and the system automatically processes the reservation.

[1908] Prompt Sentence Examples

[1909] Example: When a user opens an app to generate a travel plan, they enter:

[1910] Departure point: Tokyo

[1911] Destination: Kyoto

[1912] Trip Schedule: 3 nights, 4 days

[1913] Travel budget: 50,000 yen

[1914] Travel Style: Nature

[1915] Facial expression data: Happy expression

[1916] Voice data: Excited voice

[1917] Using this information, it generates itineraries that include many nature-related activities.

[1918] The above is a specific embodiment of the present invention. This system makes it possible to provide a travel plan based on the individual needs and emotions of the user, thereby realizing a more satisfying travel experience.

[1919] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1920] Step 1:

[1921] The user enters basic information and emotional information about the trip.

[1922] Input: departure point, destination, travel itinerary, travel budget, travel style, facial expression and voice data.

[1923] Data processing and calculation: Using the smartphone's camera and microphone to recognize facial expressions and voice data and analyze emotions, specifically through the use of facial recognition software and voice analysis algorithms.

[1924] Output: Basic information and sentiment information (e.g., in JSON format).

[1925] Step 2:

[1926] The entered basic information and emotional information are sent to the server.

[1927] Input: Basic information and sentiment information (JSON format).

[1928] Data processing and calculation: The smartphone converts the data into an appropriate format and sends it to the server using the HTTPS protocol.

[1929] Output: The data sent to the server side.

[1930] Step 3:

[1931] The server uses AI to generate the optimal travel plan based on the information received.

[1932] Input: User's basic information and emotional information.

[1933] Data processing and calculation: The server uses the generative AI model to generate a travel plan. Specifically, it retrieves information on transportation, accommodation, and tourist spots from the database and creates a plan that suits the user's requirements.

[1934] Output: The generated itinerary.

[1935] Step 4:

[1936] The generated travel plan is sent to the user's terminal.

[1937] Input: The generated itinerary.

[1938] Data processing and calculation: Plan information is sent from the server to the user's device in JSON format, etc., using the HTTPS protocol.

[1939] Output: The itinerary displayed on the user's device.

[1940] Step 5:

[1941] The user selects the desired plan from the proposed travel plans.

[1942] Input: A list of itineraries displayed to the user.

[1943] Data processing and data calculation: Sends information about the plan selected by the user to the server.

[1944] Output: Information about the itinerary selected by the user.

[1945] Step 6:

[1946] The server processes the reservation based on the selected travel plan.

[1947] Input: Information about the travel plan selected by the user.

[1948] Data processing and data calculation: The server requests each terminal to arrange transportation tickets, book accommodations, and make advance reservations for tourist attractions, and completes the reservations.

[1949] Output: Confirmation of successful booking.

[1950] Step 7:

[1951] The user's terminal is notified that the reservation has been completed.

[1952] Input: Reservation confirmation information.

[1953] Data processing and data calculation: A confirmation message is sent from the server to the user's device using the HTTPS protocol.

[1954] Output: A booking confirmation message that will be displayed on the user's device.

[1955] Step 8:

[1956] After the trip, feedback from users is collected to improve the suggestion algorithm for future trips.

[1957] Input: User's post-trip feedback.

[1958] Data processing and calculation: The server collects feedback data, including emotional information, and uses it to improve the AI ​​model.

[1959] Output: An improved itinerary suggestion algorithm.

[1960] 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.

[1961] 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.

[1962] 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 robot 414.

[1963] 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.

[1964] 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.

[1965] 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.

[1966] 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).

[1967] 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.

[1968] 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."

[1969] 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.

[1970] 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).

[1971] 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.

[1972] 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.

[1973] 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.

[1974] 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.

[1975] 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.

[1976] 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.

[1977] 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.

[1978] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1979] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1980] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1981] The following is further disclosed regarding the above embodiment.

[1982] (Claim 1)

[1983] a means for a user to input basic travel information;

[1984] means for transmitting the input information to a server;

[1985] A means to generate optimal travel plans using AI based on the transmitted information;

[1986] means for transmitting the generated travel plan to a user's terminal;

[1987] means for transmitting the travel plan selected by the user to a server and processing the reservation;

[1988] A system including:

[1989] (Claim 2)

[1990] 2. The system of claim 1, wherein the travel plan includes information on transportation, accommodations, and tourist attractions.

[1991] (Claim 3)

[1992] 2. The system according to claim 1, wherein the basic information input by the user includes a departure point, a destination, a travel itinerary, a travel budget, and a travel style.

[1993] (Claim 4)

[1994] The system of claim 1, wherein the server generates a travel plan using an AI model.

[1995] (Claim 5)

[1996] 2. The system of claim 1, further comprising means for allowing a user to select from among the generated travel plans.

[1997] This allows us to define the characteristics of the system, covering the entire process from user input to travel plan generation, presentation, selection and booking.

[1998] "Example 1"

[1999] (Claim 1)

[2000] a means for a user to input basic travel information;

[2001] means for transmitting input information from the terminal to a server;

[2002] A means for generating an optimal travel plan using a generative AI model based on the transmitted information;

[2003] means for transmitting the generated travel plan to a user's terminal;

[2004] means for transmitting the travel plan selected by the user to a server and processing the reservation;

[2005] A system including:

[2006] (Claim 2)

[2007] 2. The system of claim 1, wherein the travel plan includes information on transportation, accommodations, and tourist attractions.

[2008] (Claim 3)

[2009] 2. The system according to claim 1, wherein the basic information input by the user includes a departure point, a destination, a travel itinerary, a travel budget, and a travel style.

[2010] "Application Example 1"

[2011] (Claim 1)

[2012] a means for a user to input basic travel information;

[2013] means for transmitting the input information to a server;

[2014] A means for generating an optimal travel plan using a generative AI model based on the transmitted information;

[2015] means for transmitting the generated travel plan to a user's terminal;

[2016] means for transmitting the travel plan selected by the user to a server and for processing reservations and electronic payments;

[2017] A system including:

[2018] (Claim 2)

[2019] 2. The system of claim 1, wherein the travel plan includes information on transportation, accommodations, and tourist attractions.

[2020] (Claim 3)

[2021] 2. The system according to claim 1, wherein the basic information input by the user includes a departure point, a destination, a travel itinerary, a travel budget, and a travel style.

[2022] "Example 2: Combining Emotion Engines"

[2023] (Claim 1)

[2024] a means for a user to input basic travel information;

[2025] means for transmitting the input information and the user's emotion information from the terminal to a server;

[2026] A means for generating an optimal travel plan using a generative model based on the transmitted information and emotion information;

[2027] means for transmitting the generated travel plan to a user's terminal and displaying it;

[2028] means for transmitting the travel plan selected by the user to a server and processing the reservation;

[2029] means for notifying the user's terminal of the completion of the reservation process;

[2030] a means for collecting feedback information from users;

[2031] A system including:

[2032] (Claim 2)

[2033] 2. The system of claim 1, wherein the generated travel plan includes information on transportation, accommodation, and tourist facilities.

[2034] (Claim 3)

[2035] 2. The system according to claim 1, wherein the basic information input by the user includes a departure point, a destination, a travel itinerary, a travel budget, and a travel style.

[2036] "Application example 2 when combining emotion engines"

[2037] (Claim 1)

[2038] a means for a user to input basic information and emotional information about the trip;

[2039] means for transmitting the input information to a server;

[2040] A means to generate optimal travel plans using AI based on the transmitted information;

[2041] means for transmitting the generated travel plan to a user's terminal;

[2042] A means for re-optimizing a travel plan by recognizing a user's feelings about the plan;

[2043] means for transmitting the travel plan selected by the user to a server and processing the reservation;

[2044] A system including:

[2045] (Claim 2)

[2046] 2. The system of claim 1, wherein the travel plan includes information on transportation, accommodations, and tourist attractions.

[2047] (Claim 3)

[2048] 2. The system according to claim 1, wherein the basic information input by the user includes a departure point, a destination, a travel itinerary, a travel budget, and a travel style. [Explanation of symbols]

[2049] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for a user to input basic travel information; means for transmitting the input information to a server; A means to generate optimal travel plans using AI based on the transmitted information; means for transmitting the generated travel plan to a user's terminal; means for transmitting the travel plan selected by the user to a server and processing the reservation; A system including:

2. 2. The system of claim 1, wherein the travel plan includes information on transportation, accommodations, and tourist attractions.

3. 2. The system according to claim 1, wherein the basic information input by the user includes a departure point, a destination, a travel itinerary, a travel budget, and a travel style.

4. The system of claim 1, wherein the server generates a travel plan using an AI model.

5. 2. The system of claim 1, further comprising means for a user to select from among the generated travel plans.

Images