System

Abstract

A system is provided.SOLUTION: A system comprising: means for a user to input conditions such as a travel destination, a way of spending time, a schedule, and a budget; means for transmitting the condition data to a server; means for the server to generate an optimal travel plan based on the condition data and transmit the plan to a terminal; means for the user to select and customize a travel plan presented via the terminal; means for the server to collectively make reservations for flights, accommodation, meals, and activities based on the final travel plan; means for transmitting the final plan and reservation information to the terminal and notifying the user of the information.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] This shows the "problem that the invention aims to solve" and the "means for solving the problem" in the patent specification.

[0005] In today's busy lifestyles, many people spend a lot of time and effort planning and booking trips. This often leads to fatigue and stress during the travel preparation stage. Furthermore, the need to select a travel plan and make various reservations individually makes it difficult to find the optimal plan. To solve these problems, there is a need to provide an efficient and easy-to-use travel plan suggestion system. [Means for solving the problem]

[0006] This invention provides a means for users to input travel conditions such as travel destination, activities, schedule, and budget, and transmit this condition data to a server. The server then generates an optimal travel plan based on the received condition data and transmits it to the terminal. The user intuitively selects from multiple travel plans presented via the terminal and can customize departure time, accommodation type, meal type, etc. as needed. This selection and customization information is then transmitted back to the server, which then finalizes the travel plan and makes reservations for flights, accommodation, meals, and activities all at once. This allows users to efficiently create the optimal travel plan and complete the reservation process without any hassle.

[0007] A "user" is an individual or organization that uses the travel plan suggestion system.

[0008] "Device" means a device used by a User to enter travel requirements and review, select, and customize proposed travel plans, including, but not limited to, a smartphone, tablet, or PC.

[0009] The "server" is a computer system that has the function of receiving condition data entered by the user, generating a travel plan based on this data, and transmitting it to the terminal.

[0010] "Condition data" is data entered by the user regarding information such as the travel destination, how to spend the time, itinerary, and budget.

[0011] A "travel plan" is a plan that includes a travel itinerary, accommodation, meals, activities, etc., that is generated by the server based on conditions specified by the user.

[0012] "Customization" refers to a user changing details of a proposed travel plan, such as departure time, accommodation type, and type of meal.

[0013] "Reservation" means the process of securing resources such as flights, accommodation, meals, and activities in advance based on confirmed travel plans.

[0014] "Notification" means that the server sends the final travel plan and reservation information to the terminal and notifies the user of this. [Brief explanation of the drawings]

[0015] [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 illustrating 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

[0016] 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.

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

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

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

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0030] 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.

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

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] This invention is a system for making users' travel planning more efficient. Specifically, the user inputs travel conditions such as destination, activities, schedule, and budget, and the server automatically generates an optimal travel plan based on these. The user can review and customize the plan, and the server makes all the necessary reservations. The details are described below.

[0037] Condition setting

[0038] First, the user accesses the travel plan proposal system using a device (smartphone, tablet, PC, etc.). The user inputs conditions such as the travel destination, how to spend time, schedule, and budget. For example, the user might set conditions such as "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen."

[0039] Plan Generation

[0040] The device sends the user-entered condition data to the server, which analyzes the condition data and generates multiple relevant travel plans from its accumulated database. This allows the server to create options such as "staying at a traditional inn and enjoying a full-course Japanese meal" or "staying at a modern hotel and touring local cuisine."

[0041] Choose and customize your plan

[0042] The device receives multiple travel plans from the server and displays them to the user in a visually easy-to-understand format. The user selects a plan using intuitive operations such as swiping and tapping, and then customizes it further. For example, the user selects "Plan A" and customizes it by extending the check-out time by one hour. This customization information is sent from the device to the server.

[0043] Finalize your plan and make a reservation

[0044] The server finalizes the travel plan based on the selections and customization information received from the user. The server makes all reservations for flights, accommodations, meals, activities, etc. in one place. It checks whether each reservation is completed successfully and handles any errors that may occur.

[0045] Completion notification

[0046] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed travel information (reservation number, dates, location, important notes, etc.) to the user. This allows the user to complete travel planning and reservations in one go.

[0047] Specific examples

[0048] For example, suppose a user wants to take a "family trip" to "Kyoto" during Golden Week in May 2023. When the user enters the conditions into the system, the server proposes the following plan.

[0049] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0050] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[0051] The user selects Plan A and changes the check-out time from 11:00 to 12:00. This information is sent to the server, which then finalizes the plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is sent to the terminal, allowing the user to complete all procedures at once.

[0052] As described above, the present invention is a system that can improve the efficiency of users' travel planning and reduce stress.

[0053] The processing flow will be explained below.

[0054] Program processing steps

[0055] Step 1:

[0056] The user accesses the travel plan proposal system from their device, inputs conditions such as destination (e.g., Kyoto), how to spend the time (e.g., sightseeing), dates (e.g., three days from May 1st, 2023), and budget (e.g., 100,000 yen), and presses the send button.

[0057] Step 2:

[0058] The terminal converts the condition data entered by the user into JSON format and sends the converted data to the server as an HTTP request.

[0059] Step 3:

[0060] The server analyzes the received condition data, searches for relevant travel plans from its database based on the conditions, and generates multiple candidate plans and adds detailed information (such as accommodation, meals, and activities).

[0061] Step 4:

[0062] The server compiles the generated travel plan in JSON format and sends it to the terminal as a response. The terminal analyzes the received travel plan information and displays it to the user in a visually easy-to-understand format (e.g., list format, card format).

[0063] Step 5:

[0064] Users can swipe and tap to browse through multiple itineraries, select the one they like best, and customize it further, such as changing the departure time or upgrading accommodations.

[0065] Step 6:

[0066] The device converts the user's selections and customizations into JSON format, which it then sends to the server as an HTTP request.

[0067] Step 7:

[0068] The server analyzes the received selection and customization information, determines the final travel plan, and performs the necessary booking procedures based on this plan.

[0069] Step 8:

[0070] The server handles all bookings for flights, accommodation, meals, and activities in one place, checking whether the booking was completed successfully and handling any errors if there was a problem.

[0071] Step 9:

[0072] The server sends the finalized travel plan and reservation details to the terminal, which receives it and displays it to the user in a visually understandable format.

[0073] Step 10:

[0074] The user confirms the final plan and reservation information sent to them through the terminal, and all travel plans and reservations are now complete.

[0075] These are the specific program processing steps in the Travel Planner system, which allow users to efficiently and easily plan their trips and complete reservations.

[0076] Example 1

[0077] 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."

[0078] Conventional travel planning systems require users to use multiple websites and applications to gather information and make reservations, which requires a great deal of time and effort. Furthermore, customizing a travel plan requires additional searches and adjustments, making the overall process cumbersome. The objective of this invention is to solve these problems and provide a system that automatically generates multiple candidate plans, allowing users to efficiently select and reserve the optimal travel plan.

[0079] 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.

[0080] In this invention, the server includes a means for a user to input conditions such as travel destination, how to spend time, schedule, budget, etc., a means for transmitting the condition data to the server, and a means for the server to generate an optimal travel plan using a generative AI model based on the condition data and transmit the plan to the terminal. This allows the server to automatically generate multiple travel plans based on the user's requests, and the user can easily select a plan via the terminal and customize and book it all at once.

[0081] "User" means a person who uses the travel planning system to input travel requirements and select and customize the presented plan.

[0082] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0083] The "server" is a device that analyzes the condition data received from the user, generates the optimal travel plan using a generative AI model, and sends it to the terminal.

[0084] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates multiple travel plans based on accumulated data.

[0085] A "terminal" is a device (e.g., a smartphone, tablet, PC, etc.) that a user uses to access the travel planning system and input travel conditions.

[0086] "Travel Plan" refers to a specific itinerary proposal based on the user's travel requirements, created by the server using a generative AI model.

[0087] "Customization" refers to the act of a user changing the details of a presented travel plan to tailor it to their own preferences.

[0088] "Reservation" refers to the process of securing various services such as flights, accommodation, meals, and activities all at once based on a travel plan confirmed by the server.

[0089] A "prompt" refers to a text instruction entered to specify a specific condition or request to a generative AI model.

[0090] This invention is a system that streamlines users' travel planning. In this system, users input travel conditions such as destination, activities, schedule, and budget, and based on this, a server automatically generates an optimal travel plan using a generative AI model. Travel plans can be customized by the user, and the server can make all the necessary reservations in one go.

[0091] Hardware and Software Configuration

[0092] 1. Terminal: A device operated by a user, such as a smartphone, tablet, or PC. The terminal accesses the server via a web browser or dedicated application.

[0093] 2. Server: A central processing unit that generates travel plans and handles reservations. The server is connected to a database and has a plan generation function that uses a generative AI model.

[0094] Main processing flow

[0095] 1. Enter the conditions:

[0096] The user uses the device to input travel conditions such as the destination, how to spend the time, schedule, budget, etc. For example, the destination can be set to "Kyoto," the way of spending the time to "sightseeing," the schedule to "three days from May 1st, 2023," and the budget to "100,000 yen."

[0097] 2. Data transmission:

[0098] The device sends the condition data entered by the user to the server. Specifically, it uses an HTTP request to send the condition data to the server's API endpoint.

[0099] 3. Plan Generation:

[0100] The server analyzes the received condition data and generates an optimal travel plan using a generative AI model, which references past plan information stored in a database to create multiple candidate plans.

[0101] 4. Submit and view plans:

[0102] The server sends the generated travel plan to the device, which analyzes it and displays it visually to the user. For example, Plan A might be "stay at a traditional inn and enjoy a full course of Japanese cuisine," while Plan B might be "stay at a modern hotel and enjoy a tour of local cuisine."

[0103] 5. Plan Selection and Customization:

[0104] The user selects the plan they like from the displayed options and then customizes it further. For example, the user selects Plan A and extends the checkout time by one hour. This information is sent from the terminal to the server.

[0105] 6. Finalize your plan and book:

[0106] The server determines the final travel plan based on the received customization information and makes all reservations for flights, accommodation, meals, activities, etc. It checks the reservation status and handles errors if any occur.

[0107] 7. Submitting and Displaying Reservation Information:

[0108] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed information about the trip (reservation number, dates, location, important notes, etc.) to the user.

[0109] Specific examples

[0110] A specific example is shown below: If a user wants to visit "Kyoto" on a "family trip" during Golden Week in May 2023, the user enters the conditions into the system.

[0111] Destination: Kyoto

[0112] How to spend the day: "Family trip"

[0113] Date: May 1st to 3rd, 2023

[0114] Budget: 100,000 yen

[0115] The server uses a generative AI model to propose the following plan:

[0116] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0117] 2. Plan B: Stay in a modern hotel and try local cuisine.

[0118] The user selects Plan A and changes the check-out time from 11:00 to 12:00. This information is sent to the server, which then finalizes the plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, allowing the user to complete all procedures at once.

[0119] Prompt Sentence Examples

[0120] Below are some examples of prompts to input to the generative AI model.

[0121] text

[0122] Enter your travel criteria ("Destination: Kyoto," "Sightseeing," "Dates: 3 days from May 1st, 2023," and "Budget: 100,000 yen") to generate a travel plan that best suits your needs. The plan will include accommodation, meal, and activity options.

[0123] The present invention allows users to efficiently plan their trips, select the most suitable plan from a variety of options, and easily complete customization and reservations.

[0124] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0125] Step 1:

[0126] The user uses a device to input travel conditions such as destination, activities, schedule, and budget. This operation is performed through the device's user interface. For example, the user might input "Destination: Kyoto," "Activity: Family trip," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen." The input data is saved in the device as condition data in JSON format.

[0127] Step 2:

[0128] The device sends the entered condition data to the server using an HTTP request. Specifically, the condition data is sent to an API endpoint, and the server receives this data. The condition data is used as input, and a confirmation message is generated as output and sent to the server.

[0129] Step 3:

[0130] The server analyzes the received condition data and generates an optimal travel plan using a generative AI model. It accesses the database to extract accumulated plan information and creates multiple optimized travel plans based on the condition data. The condition data and plan information in the database are used as input, and the generated multiple travel plans are obtained as output.

[0131] Step 4:

[0132] The server converts the generated travel plan into JSON format and sends it to the terminal using an HTTP response. Specifically, the generated travel plan data is returned as an HTTP response. The input is the generated travel plan data, and the output is the data converted into a format that can be sent to the terminal.

[0133] Step 5:

[0134] The terminal analyzes the received travel plan data and visually displays it to the user through a user interface. The user can check each plan. For example, Plan A might be "staying at a traditional inn and enjoying a full course of Japanese cuisine," while Plan B might be "staying at a modern hotel and touring local cuisine." The travel plan data received from the server is used as input, and a visual plan display is obtained as output.

[0135] Step 6:

[0136] The user selects the plan they like from the displayed ones and performs detailed customization. For example, the user selects Plan A and extends the checkout time by one hour. This information is entered through the device's user interface and saved in the device as customization data in JSON format. The inputs are the user's selection and customization details, and the output is customization data.

[0137] Step 7:

[0138] The device sends user customization information to the server using an HTTP request. Specifically, the customization data is sent to an API endpoint and received by the server. The customization data is used as input to generate a confirmation message that is sent to the server as output.

[0139] Step 8:

[0140] The server determines the final travel plan based on the received customization information. The server uses a booking API to book flights, accommodation, meals, and activities all at once. The inputs are the customization data and the booking API, and the output is the final plan and the status of each booking.

[0141] Step 9:

[0142] The server sends the final travel plan and reservation information in JSON format to the terminal, which parses it and notifies the user. Specifically, the terminal visually displays the final travel plan, reservation number, dates, location, and important notes. The input is the final plan and reservation information sent from the server, and the output is notification data for the user.

[0143] (Application example 1)

[0144] 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."

[0145] In conventional travel planning systems, users have to spend a lot of time and effort to find and customize travel plans that meet their requirements, and it is difficult to make bulk reservations. Therefore, there is a need for a system that can significantly reduce the user's effort and enable efficient and intuitive travel plan creation and booking.

[0146] 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.

[0147] In this invention, the server includes: means for a user to input conditions such as travel destination, activities, itinerary, and budget; means for transmitting the condition data to the server; means for the server to generate an optimal travel plan based on the condition data and transmit it to the terminal; means for the user to select and customize the travel plan presented via the terminal; means for transmitting the selection and customization information to the server; means for the server to finalize the travel plan and make reservations for transportation, accommodations, restaurants, and activities all at once; means for transmitting the final plan and reservation information to the terminal and notifying the user; means for generating and customizing the travel plan using a generative AI model; and means for the server to generate prompts required for generating the travel plan and process them together with the condition data. This allows users to efficiently and intuitively create, customize, and book travel plans all at once.

[0148] A "user" is an individual or organization that uses the travel planning system.

[0149] "Travel destination" is information indicating a destination that the user wants to visit.

[0150] "How to spend your time" is information that refers to the activities and style of spending time at your travel destination.

[0151] "Schedule" is information indicating the start and end dates or duration of a trip.

[0152] "Budget" is information indicating the upper limit of expenses that can be spent on a trip.

[0153] "Condition data" is a collection of information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0154] A "server" is a remote computer system that receives user-submitted request data, creates and customizes travel plans, and collectively processes reservations.

[0155] A "terminal" is a device (smartphone, tablet, PC, etc.) that a user uses to access and operate the travel planning system.

[0156] "Transportation" is the means of travel used for travel (e.g., plane, train, bus, etc.).

[0157] "Accommodation" refers to a facility where a user can stay while traveling (e.g., a hotel, inn, business hotel, etc.).

[0158] A "restaurant" is a place where a user can eat while traveling.

[0159] "Activities" are events and programs that include sightseeing and experiential activities at travel destinations.

[0160] A "generative AI model" is a machine learning model used to automatically generate optimal travel plans based on the conditions entered by the user.

[0161] A "prompt sentence" is an input sentence used by the generative AI model when generating a travel plan, and is a sentence created based on condition data.

[0162] This invention is a system that allows a server to generate and customize an optimal travel plan based on user input conditions such as travel destination, activities, schedule, and budget. This system uses a generative AI model to automatically generate highly accurate travel plans, and also generates the necessary prompt sentences and processes them together with the condition data.

[0163] Specific example program explanation

[0164] Hardware usage example

[0165] Server: High-performance computer, cloud server (e.g., Amazon Web Services, Google Cloud Platform)

[0166] Devices: Smartphones, tablets, PCs

[0167] Software usage examples

[0168] Programming language: Python

[0169] Data format: JSON

[0170] Machine learning models: Generative AI models (e.g., GPT-3)

[0171] Database: SQL, NoSQL (e.g. MySQL, MongoDB)

[0172] What the program does

[0173] 1. User condition input

[0174] Users access the system from their smartphone or PC and enter travel information such as destination, how they will spend their time, schedule, and budget.

[0175] 2. Sending condition data to the server

[0176] The entered condition data is sent to the server via the network, where it is analyzed and prepared for appropriate processing.

[0177] 3. Plan generation using generative AI models

[0178] The server automatically generates an optimal travel plan using a generative AI model based on the condition data, and generates prompt sentences and inputs them into the AI ​​model.

[0179] Example prompt sentence:

[0180] The travel destination is Kyoto, the plan is sightseeing, the dates are 3 days from May 1st to 2023, and the budget is 100,000 yen. Based on these conditions, generate the optimal travel plan.

[0181] 4. Presenting your travel plans

[0182] The server sends the generated itineraries to the device, where the user can visually check them and intuitively operate them by swiping and tapping.

[0183] 5. Customize your plan

[0184] The user selects a plan from the list and customizes it as needed (e.g., changing the check-out time). This customization information is then sent back to the server.

[0185] 6. Finalize the plan and make a reservation

[0186] The server finalizes the itinerary based on the customized information, allowing you to book transportation, accommodation, restaurants, and activities all in one place.

[0187] 7. Completion notification

[0188] The server sends the final plan and reservation information to the terminal and notifies the user of completion. The user can then check all travel details (reservation number, dates, location, notes, etc.) on the terminal.

[0189] Specific examples

[0190] For example, if a user wants to visit Kyoto on a "family trip" during Golden Week in May 2023, the process will be as follows:

[0191] 1. Input example: Destination: Kyoto, How to spend time: Sightseeing, Dates: 3 days from May 1st, 2023, Budget: 100,000 yen

[0192] 2. Generated prompt:

[0193] The travel destination is Kyoto, the plan is sightseeing, the dates are 3 days from May 1st to 2023, and the budget is 100,000 yen. Based on these conditions, generate the optimal travel plan.

[0194] 3. Examples of proposed plans:

[0195] Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal

[0196] Plan B: Stay in a modern hotel and try local cuisine

[0197] The user selects Plan A and changes the check-out time from 11:00 to 12:00. Based on this, the server determines the final plan and makes all reservations at once.

[0198] The present invention aims to enable users to create travel plans and make reservations efficiently and intuitively, thereby significantly reducing the amount of work required by users.

[0199] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0200] Step 1: The user enters travel destination, travel plans, dates, budget, and other conditions into the device.

[0201] Input: User's travel conditions data (e.g., destination, how to spend time, schedule, budget)

[0202] Output: Travel condition data entered into the terminal

[0203] Specific operation: The user enters travel conditions such as destination, activities, schedule, budget, etc. into the input form on the device. Once the input is complete, the device converts this condition data into a structured data format.

[0204] Step 2: The terminal transmits the condition data to the server.

[0205] Input: Travel conditions data entered into the terminal

[0206] Output: Travel condition data sent to the server

[0207] Specific operation: The device sends the condition data entered by the user to the server via the network. The data is sent to the server in JSON format.

[0208] Step 3: The server inputs the condition data into the generated AI model and generates the optimal travel plan.

[0209] Input: Travel condition data sent to the server

[0210] Output: Multiple generated itineraries

[0211] Specific operation: The server receives the condition data and generates a prompt sentence based on it. The generated prompt sentence is input into a generative AI model (e.g., GPT-3) to generate an optimal travel plan. Multiple candidate plans are generated and stored on the server in structured data format.

[0212] Step 4: The server transmits the generated itineraries to the terminal.

[0213] Input: Generated itineraries

[0214] Output: Multiple itineraries sent to the device

[0215] Specific operation: The server sends the generated itineraries to the device as JSON data, which the user can visually check on the device screen.

[0216] Step 5: The user selects and customizes the proposed itinerary.

[0217] Input: Multiple proposed travel plans

[0218] Output: Selected itinerary and customization information

[0219] Specific operation: The user checks the presented travel plans on the device screen and makes selections by swiping or tapping. After making a selection, the user enters any items that require customization (e.g., changing the check-out time). This data is saved on the device.

[0220] Step 6: The terminal sends the selected travel plan and customization information to the server.

[0221] Input: Selected travel plan and customization information

[0222] Output: Selections and customizations sent to the server

[0223] Specific operation: The terminal sends the travel plan selected and customized by the user and its details to the server via the network.

[0224] Step 7: The server finalizes the travel plans and makes the bookings in bulk.

[0225] Input: Selections and customization information sent to the server

[0226] Output: Final confirmed travel plans and booking information

[0227] Specific operations: The server finalizes the travel plan based on the user's selections and customized information. Based on the finalized plan, it makes a bulk reservation for transportation, accommodation, restaurants, and activities. The reservation information is generated and saved on the server.

[0228] Step 8: The server sends the final plan and reservation information to the terminal and notifies the user.

[0229] Input: Final confirmed travel plans and booking information

[0230] Output: Final itinerary and booking information sent to the device

[0231] Specific operation: The server sends the final travel plan and reservation information to the terminal and notifies the user. The user can then check all the trip details (reservation number, dates, location, notes, etc.) on the terminal.

[0232] 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.

[0233] This invention is a system that streamlines user travel planning and proposes optimal travel plans that take the user's emotions into consideration. Specifically, the user inputs travel conditions such as destination, activities, schedule, and budget, and the server automatically generates the optimal travel plan based on these. Furthermore, an emotion engine that recognizes emotions from the user's facial expressions and voice is incorporated, making it possible to propose and customize plans that reflect the user's emotions.

[0234] Condition setting

[0235] First, the user accesses the travel plan proposal system using a device (smartphone, tablet, PC, etc.). The user inputs conditions such as the travel destination, how to spend time, schedule, and budget. For example, the user might set conditions such as "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen."

[0236] Plan Generation and Emotion Recognition

[0237] The device sends the user-entered condition data to the server. The server analyzes this condition data and generates multiple relevant travel plans from its accumulated database. At the same time, the device analyzes the user's facial expressions and voice through its built-in camera and microphone, and an emotion engine evaluates the user's emotions. The emotion engine recognizes the user's emotional state (joy, surprise, stress, etc.).

[0238] Adjusting your plan based on emotions

[0239] The server evaluates the generated travel plans based on the user's emotional data obtained from the emotion engine. For example, it will prioritize relaxing plans for a stressed user, and suggest plans including active activities to an excited user.

[0240] Choose and customize your plan

[0241] The device displays the adjusted travel plans received from the server in a visually easy-to-understand format to the user. The user can select a plan by swiping or tapping, and then perform further customization operations. For example, the user can select "Plan A" and customize it by extending the check-out time by one hour. This customization information is sent from the device to the server.

[0242] Finalize your plan and make a reservation

[0243] The server finalizes the travel plan based on the selections and customization information received from the user. The server makes all reservations for flights, accommodations, meals, activities, etc. It verifies that all necessary reservations have been completed successfully and handles any errors if there are any issues.

[0244] Completion notification

[0245] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed travel information (reservation number, dates, location, important notes, etc.) to the user. This allows the user to complete travel planning and reservations in one go.

[0246] Specific examples

[0247] For example, suppose a user wants to take a "family trip" to "Kyoto" during Golden Week in May 2023. When the user enters the conditions into the system, the server proposes the following plan.

[0248] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0249] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[0250] The user selects Plan A and extends the check-out time by one hour. During this time, the emotion engine analyzes the user's facial expressions and voice and recognizes, for example, that the user is relaxed. This information is sent to the server, which then determines the optimized final plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, allowing the user to complete all procedures at once.

[0251] As described above, the present invention is a system that can improve the efficiency of a user's trip planning and provide an optimal trip plan that takes into account the user's emotional state.

[0252] The processing flow will be explained below.

[0253] Program processing steps

[0254] Step 1:

[0255] The user accesses the travel plan proposal system from their device, inputs conditions such as destination (e.g., Kyoto), how to spend the time (e.g., sightseeing), dates (e.g., three days from May 1st, 2023), and budget (e.g., 100,000 yen), and presses the send button.

[0256] Step 2:

[0257] The terminal converts the condition data entered by the user into JSON format and sends the converted data to the server as an HTTP request.

[0258] Step 3:

[0259] The device's built-in camera and microphone are activated to capture the user's facial expressions and voice in real time, and the emotion engine analyzes this data to evaluate the user's emotional state.

[0260] Step 4:

[0261] The server analyzes the received condition data, searches for relevant travel plans from its database based on the conditions, and generates multiple candidate plans and adds detailed information (such as accommodation, meals, and activities).

[0262] Step 5:

[0263] The emotion engine's analysis results are sent to the server, which then prioritizes the generated travel plans based on the user's emotional state. For example, if the user is feeling stressed, it will prioritize relaxing plans.

[0264] Step 6:

[0265] The server compiles the adjusted travel plan in JSON format and sends it to the device. The device parses the received travel plan information and displays it to the user in a visually easy-to-understand format (e.g., list format, card format).

[0266] Step 7:

[0267] Users can swipe and tap to browse through multiple itineraries, select the one they like best, and customize it further, such as changing the departure time or upgrading accommodations.

[0268] Step 8:

[0269] The device converts the user's selections and customizations into JSON format, which it then sends to the server as an HTTP request.

[0270] Step 9:

[0271] The server analyzes the received selection and customization information, determines the final travel plan, and performs the necessary booking procedures based on this plan.

[0272] Step 10:

[0273] The server handles all bookings for flights, accommodation, meals, and activities in one place, checking whether the booking was completed successfully and handling any errors if there was a problem.

[0274] Step 11:

[0275] The server sends the finalized travel plan and reservation details to the terminal, which receives it and displays it to the user in a visually understandable format.

[0276] Step 12:

[0277] The user confirms the final plan and reservation information sent to them through the terminal, and all travel plans and reservations are now complete.

[0278] These are the specific program processing steps for the Travel Planner system that combines the emotion engine. This allows users to efficiently and easily plan their trips and complete reservations. Furthermore, the system proposes plans that take the user's emotional state into consideration, resulting in a more satisfying trip.

[0279] Example 2

[0280] 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."

[0281] Conventional travel planning systems generate travel plans without considering the user's emotional state, making it impossible to provide optimal plans for different emotional states, such as when the user wants to relax or get excited. Furthermore, the system lacked the ability to automatically evaluate multiple travel plans and adjust them based on the user's emotions, which could result in lower user satisfaction. This made it difficult for users to efficiently select and book plans that were more relaxing or more exciting.

[0282] 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.

[0283] In this invention, the server includes a means for the user to input travel conditions such as travel destination, how to spend time, schedule, budget, etc., a means for analyzing the user's facial expressions and voice to recognize the user's emotional state, and a means for evaluating and adjusting the travel plan based on the recognized emotional data. This makes it possible to provide the user with an optimal travel plan for different emotional states, such as when they want to relax or when they want to get excited.

[0284] "User" means an individual who accesses the system and enters, selects, and customizes travel plans.

[0285] "Terminal" refers to a device used by a user to access the system, such as a smartphone, tablet, or PC.

[0286] "Server" refers to the central processing unit that analyzes data received from users, generates, evaluates and adjusts travel plans, and handles reservations and notifications.

[0287] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0288] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and voice through the device's camera and microphone, and recognizes their emotional state.

[0289] "Travel plan" refers to a plan generated by the server that includes the user's travel destination, itinerary, budget, activities, etc.

[0290] "Customization" refers to changes or adjustments that a user makes to a presented travel plan.

[0291] "Final Plan" refers to the travel plan that is finalized after the user has made selections and customizations.

[0292] "Reservation" refers to the process by which the server reserves transportation, accommodation, meals, activities, etc. in advance.

[0293] "Notification" refers to the means by which the server notifies the user of the final plan and reservation information.

[0294] The present invention provides a system for improving the efficiency of a user's travel planning and proposing an optimal travel plan that takes into consideration the user's emotions. Detailed embodiments of the present invention will be described below.

[0295] Hardware and software used

[0296] Devices: devices such as smartphones, tablets, and PCs

[0297] Server: Central Processing Unit

[0298] Emotion engine: Software that uses the device's camera and microphone to analyze facial expressions and voice.

[0299] What the program does

[0300] Users access the system using a terminal. They input travel conditions such as destination, activities, schedule, and budget, and send them to the terminal. The terminal then sends this condition data to the server.

[0301] The server analyzes the received request data and generates multiple corresponding travel plans from the database. At the same time, the device analyzes the user's facial expressions and voice, and the emotion engine recognizes the user's emotional state.

[0302] For example, if a user inputs "Destination: Kyoto," "Sightseeing," "Dates: 3 days from May 1st, 2023," and "Budget: 100,000 yen," the server will generate a plan to "stay at a traditional inn and enjoy a full course of Japanese cuisine" or "stay at a modern hotel and tour local cuisine." During this time, the emotion engine will analyze the user's smile and voice to recognize when the user is relaxed.

[0303] The server evaluates and adjusts the generated travel plan based on the emotional data. For example, if the user is relaxed, it will prioritize and suggest a more relaxing plan. On the other hand, if the user is excited, it will recommend a plan that includes more active activities.

[0304] The terminal presents the user with multiple adjusted travel plans in a visually easy-to-understand format. The user selects one of the displayed plans and customizes it further. For example, the user selects "Plan A" and customizes it by extending the check-out time by one hour. This customization information is then sent back to the server from the terminal.

[0305] The server finalizes the travel plan and makes all reservations for flights, accommodations, meals, activities, etc. If all reservations are completed successfully, the server sends the final plan and reservation information to the terminal, which notifies the user and displays detailed information about the trip.

[0306] Specific examples

[0307] If a user wants to visit Kyoto on a "family trip" during Golden Week in May 2023, the user inputs the conditions into the system. The server then proposes the following plan:

[0308] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0309] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[0310] The user selects "Plan A" and extends the check-out time by another hour. During this time, the emotion engine recognizes that the user is relaxed and sends this information to the server. The server then determines the optimized final plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, and the user completes all procedures at once.

[0311] Prompt Sentence Examples

[0312] "Please suggest the best travel plan based on the following criteria: Destination: Kyoto, Activities: Sightseeing, Dates: 3 days from May 1st, 2023, Budget: 100,000 yen. Also, please adjust the plan taking into account the user's emotional state."

[0313] This system will improve the efficiency of users' travel planning and provide optimal travel plans that take into account the user's emotional state.

[0314] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0315] Step 1:

[0316] The user accesses the system using a terminal and inputs travel conditions such as destination, how to spend time, schedule, budget, etc. Specifically, the user enters "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen" into the input form on the terminal.

[0317] Input: User's travel conditions (destination, how to spend time, schedule, budget)

[0318] Output: Conditional data packet

[0319] Specific operation: When the user completes input and taps the "Send" button, the device assembles the input condition data into a data packet.

[0320] Step 2:

[0321] The terminal sends the condition data entered by the user to the server, where it formats the data and performs appropriate encoding before sending it.

[0322] Input: Conditional data packet

[0323] Output: Condition data sent to the server

[0324] Specific operation: The device encodes the condition data into an appropriate format, such as JSON, and sends it to the server over the network.

[0325] Step 3:

[0326] The server analyzes the received condition data and generates multiple corresponding travel plans from the database.

[0327] Input: Received condition data packet

[0328] Output: Multiple itineraries

[0329] What happens: The server parses the condition data and executes a database query to generate potential travel plans, such as "Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal" and "Plan B: Stay at a modern hotel and sample local cuisine."

[0330] Step 4:

[0331] The device uses a camera and microphone to analyze the user's facial expressions and voice in real time, and an emotion engine evaluates the user's emotional state.

[0332] Input: User's facial expression data, voice data

[0333] Output: User's emotion data (happiness, surprise, stress, etc.)

[0334] How it works: The device's camera captures the user's face and microphone records their voice. The emotion engine analyzes this to evaluate their emotional state and output it as data.

[0335] Step 5:

[0336] The server evaluates and adjusts the travel plans it generates based on emotion data. For example, it prioritizes relaxing plans for users who are feeling stressed.

[0337] Input: Generated travel plan, user emotion data

[0338] Output: Adjusted itinerary

[0339] How it works: The server uses emotion data to evaluate and rank travel plan candidates and select the most suitable one. For example, if a user wants to relax, it will prioritize plans that include hot springs and massages.

[0340] Step 6:

[0341] The device displays multiple tailored itineraries to the user in a visually easy-to-understand format, allowing the user to select an itinerary with a swipe or tap and then perform detailed customization operations.

[0342] Input: Adjusted travel plan

[0343] Output: User selected and customized plan

[0344] Specific operation: The terminal displays a list of plans, the user selects "Plan A," and customizes the plan, such as extending the check-out time by one hour.

[0345] Step 7:

[0346] The server finalizes the travel plan based on the selections and customization information received from the user, and makes all reservations for transportation, accommodation, meals, activities, etc.

[0347] Input: User selections and customization information

[0348] Output: Final confirmed plan and reservation information

[0349] Specific operation: The server connects to the reservation system, checks the availability of flights and accommodations, and completes the reservation.

[0350] Step 8:

[0351] The server sends the final plan and reservation information to the terminal and notifies the user, and the terminal analyzes the received information and displays the trip details to the user.

[0352] Input: Final confirmed plan and reservation information

[0353] Output: Notify user, display trip details

[0354] What happens: The device displays a notification and provides the user with trip details (reservation number, dates, location, precautions, etc.).

[0355] The above are the specific processing steps of the program of this system.

[0356] (Application example 2)

[0357] 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."

[0358] Conventional travel planning systems have difficulty providing users with travel plans that take into account their emotional state and current mental state. For example, if a user is feeling stressed, a relaxing travel plan is desirable, but there is no way to automatically suggest such a plan. Furthermore, even if a user expresses an emotional reaction to a proposed plan, this is not reflected in the system, making it difficult to increase user satisfaction. Therefore, providing optimal travel plans that take into account the user's emotions is a challenge.

[0359] 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.

[0360] In this invention, the server includes: means for a user to input travel conditions such as travel destination, how to spend time, schedule, and budget; means for transmitting the condition data to the server; means for a terminal to analyze the user's facial expressions and voice and evaluate the user's emotional state using an emotion recognition engine; means for evaluating and adjusting the travel plan generated by the server based on the user's emotional state obtained from the emotion recognition engine; means for the user to select and customize the travel plan presented via the terminal; means for transmitting the selection and customization information to the server; means for the server to finalize the travel plan and make reservations in one go, including reservations for accommodations and selection of dining locations; and means for transmitting the final plan and reservation information to the terminal and notifying the user. This makes it possible to provide an optimal travel plan that takes the user's emotional state into consideration.

[0361] "User" refers to an individual person who uses the travel planning system.

[0362] A "travel destination" refers to a particular place or region that a user wants to visit.

[0363] "How to spend time" refers to the activities that the user will do during the trip, such as sightseeing, vacation, etc.

[0364] "Dates" refers to the period of time including the start and end dates of the trip.

[0365] "Budget" refers to the amount of money a user plans to spend on a trip.

[0366] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0367] "Server" refers to a computer system that processes information received from users and generates optimal travel plans.

[0368] "Terminal" refers to a device such as a smartphone, tablet, or PC that a user uses to access the travel planning system.

[0369] "Facial expressions" refer to facial movements and expressions that express the user's emotional state.

[0370] "Voice" refers to the voice quality and speech characteristics used to analyze the user's emotional state.

[0371] An "emotion recognition engine" refers to software or a system that analyzes a user's facial expressions and voice to assess their emotional state.

[0372] "Emotional state" refers to the emotion the user is currently feeling, such as joy, surprise, stress, etc.

[0373] "Travel plan" refers to an itinerary generated based on the user's condition data and emotional state.

[0374] "Adjustment" refers to optimizing the travel plan based on the user's emotional state obtained from the emotion recognition engine.

[0375] "Customization" refers to changes a user makes to a proposed travel plan to reflect their specific wants and desires.

[0376] "Accommodation" refers to a place where a user stays during a trip, such as a hotel or inn.

[0377] "Reservation" refers to the process of securing various services required for a travel plan in advance.

[0378] "Notification" refers to the act of informing the user of final travel plans and booking information.

[0379] This invention is a system for suggesting optimal travel plans that take into account a user's emotional state when the user inputs travel conditions such as destination, activities, schedule, and budget. This system is realized using the following means.

[0380] First, the user accesses a travel planning app using a device such as a smartphone, tablet, or PC and enters travel destination, how to spend the day, dates, budget, and other conditions.

[0381] The device then sends the entered conditions to the server, which generates an optimal travel plan based on these conditions. The device also uses its built-in camera and microphone to collect the user's facial expressions and voice, and evaluates the user's emotional state using an emotion recognition engine. This engine uses, for example, Microsoft Azure Cognitive Services or Affectiva.

[0382] The server evaluates the generated itinerary based on the user's emotional state obtained from the emotion recognition engine and makes adjustments as necessary. Based on the emotional state, multiple optimal candidate itineraries are also generated. The server then obtains details of the actual itinerary using the Google Places API. It also uses a generative AI model (e.g., OpenAI GPT-4) to select and suggest specific itineraries that take the user's emotional state into account.

[0383] To give a specific example, a user enters "I would like to tour Kyoto for three days starting from May 1, 2023" and sets the budget to 100,000 yen. If the device analyzes the user's emotional state as "relaxed," the server will generate and present the following plan, for example:

[0384] Plan A: Stay at a traditional ryokan and enjoy a full-course Japanese meal, including a relaxing hot spring bath.

[0385] Plan B: Stay in a modern hotel and explore local cuisine with easy access to tourist attractions.

[0386] The user selects the plan they want from the ones presented and customizes it. For example, when selecting Plan A, they can extend the check-out time by one hour. The customization information is sent from the terminal to the server.

[0387] Finally, the server determines the final travel plan based on the user's selection and customization information. This plan includes reservations for accommodations and restaurants. The server makes all of these reservations in one go, and sends the final plan and reservation information to the terminal to notify the user.

[0388] In this system, for example, by inputting the following prompt sentence into the generative AI model, it is possible to propose a detailed plan based on the user's emotions.

[0389] "If the user's emotional state is relaxed, what is the best travel plan? Suggestions target Plan A and Plan B."

[0390] This allows the system to provide an optimal travel plan that meets the user's requirements while taking into consideration the user's emotional state.

[0391] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0392] Step 1:

[0393] The user inputs the conditions into the terminal, including details of the trip, such as the destination, how to spend the time, the schedule, and the budget. This becomes the condition data, which is sent to the server in the next step.

[0394] Input: Travel destination, how to spend time, dates, budget

[0395] Output: Condition data

[0396] Step 2:

[0397] The terminal transmits the condition data to the server. The terminal transmits the condition data entered by the user to the server, and data processing begins.

[0398] Input: Condition data

[0399] Output: Condition data sent to the server

[0400] Step 3:

[0401] The device analyzes the user's facial expressions and voice. It collects the user's facial expressions and voice through the device's camera and microphone, and evaluates the user's emotional state using an emotion recognition engine.

[0402] Input: User's facial expression, user's voice

[0403] Output: Emotional state data

[0404] Step 4:

[0405] The server generates an optimal travel plan based on the condition data and emotional state data. The server uses databases such as Google Places API to generate multiple travel plans that match the conditions. Furthermore, each plan is evaluated and optimized based on the emotional state data obtained from the emotion recognition engine.

[0406] Input: Condition data, emotional state data

[0407] Output: Multiple optimized itineraries

[0408] Step 5:

[0409] The server sends the optimal travel plan to the terminal, and then sends multiple travel plans generated by the server to the terminal and presents them to the user.

[0410] Input: Multiple optimized itineraries

[0411] Output: The itinerary sent to the user's device

[0412] Step 6:

[0413] The user selects and customizes the proposed itinerary. The user selects the desired itinerary from the itinerary displayed on the terminal screen and makes specific changes as needed (e.g., extending the check-out time).

[0414] Input: Multiple optimized itineraries

[0415] Output: Selection and customization information

[0416] Step 7:

[0417] The terminal transmits the selection and customization information to the server. The user transmits the selected plan and the customized information to the server, and the final plan is confirmed.

[0418] Input: Selection and customization information

[0419] Output: Selection and customization information sent to the server

[0420] Step 8:

[0421] The server determines the final travel plan and makes reservations in bulk. The server determines the final travel plan based on the received information and makes reservations for accommodations, dining, etc. in bulk.

[0422] Input: Selection and customization information

[0423] Output: Finalized travel plans and reservation information

[0424] Step 9:

[0425] The server sends the final plan and reservation information to the terminal and notifies the user. The server sends the final confirmed travel plan and reservation information to the terminal and notifies the user. The user receives all necessary information through the terminal.

[0426] Input: Finalized travel plans, reservation information

[0427] Output: Final plan and reservation information sent to the user's device

[0428] 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.

[0429] 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.

[0430] 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.

[0431] [Second embodiment]

[0432] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0433] 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.

[0434] 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).

[0435] 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.

[0436] 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.

[0437] 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).

[0438] 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.

[0439] 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.

[0440] 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.

[0441] 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.

[0442] 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.

[0443] 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."

[0444] This invention is a system for making users' travel planning more efficient. Specifically, the user inputs travel conditions such as destination, activities, schedule, and budget, and the server automatically generates an optimal travel plan based on these. The user can review and customize the plan, and the server makes all the necessary reservations. The details are described below.

[0445] Condition setting

[0446] First, the user accesses the travel plan proposal system using a device (smartphone, tablet, PC, etc.). The user inputs conditions such as the travel destination, how to spend time, schedule, and budget. For example, the user might set conditions such as "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen."

[0447] Plan Generation

[0448] The device sends the user-entered condition data to the server, which analyzes the condition data and generates multiple relevant travel plans from its accumulated database. This allows the server to create options such as "staying at a traditional inn and enjoying a full-course Japanese meal" or "staying at a modern hotel and touring local cuisine."

[0449] Choose and customize your plan

[0450] The device receives multiple travel plans from the server and displays them to the user in a visually easy-to-understand format. The user selects a plan using intuitive operations such as swiping and tapping, and then customizes it further. For example, the user selects "Plan A" and customizes it by extending the check-out time by one hour. This customization information is sent from the device to the server.

[0451] Finalize your plan and make a reservation

[0452] The server finalizes the travel plan based on the selections and customization information received from the user. The server makes all reservations for flights, accommodations, meals, activities, etc. in one place. It checks whether each reservation is completed successfully and handles any errors that may occur.

[0453] Completion notification

[0454] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed travel information (reservation number, dates, location, important notes, etc.) to the user. This allows the user to complete travel planning and reservations in one go.

[0455] Specific examples

[0456] For example, suppose a user wants to take a "family trip" to "Kyoto" during Golden Week in May 2023. When the user enters the conditions into the system, the server proposes the following plan.

[0457] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0458] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[0459] The user selects Plan A and changes the check-out time from 11:00 to 12:00. This information is sent to the server, which then finalizes the plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is sent to the terminal, allowing the user to complete all procedures at once.

[0460] As described above, the present invention is a system that can improve the efficiency of users' travel planning and reduce stress.

[0461] The processing flow will be explained below.

[0462] Program processing steps

[0463] Step 1:

[0464] The user accesses the travel plan proposal system from their device, inputs conditions such as destination (e.g., Kyoto), how to spend the time (e.g., sightseeing), dates (e.g., three days from May 1st, 2023), and budget (e.g., 100,000 yen), and presses the send button.

[0465] Step 2:

[0466] The terminal converts the condition data entered by the user into JSON format and sends the converted data to the server as an HTTP request.

[0467] Step 3:

[0468] The server analyzes the received condition data, searches for relevant travel plans from its database based on the conditions, and generates multiple candidate plans and adds detailed information (such as accommodation, meals, and activities).

[0469] Step 4:

[0470] The server compiles the generated travel plan in JSON format and sends it to the terminal as a response. The terminal analyzes the received travel plan information and displays it to the user in a visually easy-to-understand format (e.g., list format, card format).

[0471] Step 5:

[0472] Users can swipe and tap to browse through multiple itineraries, select the one they like best, and customize it further, such as changing the departure time or upgrading accommodations.

[0473] Step 6:

[0474] The device converts the user's selections and customizations into JSON format, which it then sends to the server as an HTTP request.

[0475] Step 7:

[0476] The server analyzes the received selection and customization information, determines the final travel plan, and performs the necessary booking procedures based on this plan.

[0477] Step 8:

[0478] The server handles all bookings for flights, accommodation, meals, and activities in one place, checking whether the booking was completed successfully and handling any errors if there was a problem.

[0479] Step 9:

[0480] The server sends the finalized travel plan and reservation details to the terminal, which receives it and displays it to the user in a visually understandable format.

[0481] Step 10:

[0482] The user confirms the final plan and reservation information sent to them through the terminal, and all travel plans and reservations are now complete.

[0483] These are the specific program processing steps in the Travel Planner system, which allow users to efficiently and easily plan their trips and complete reservations.

[0484] Example 1

[0485] 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."

[0486] Conventional travel planning systems require users to use multiple websites and applications to gather information and make reservations, which requires a great deal of time and effort. Furthermore, customizing a travel plan requires additional searches and adjustments, making the overall process cumbersome. The objective of this invention is to solve these problems and provide a system that automatically generates multiple candidate plans, allowing users to efficiently select and reserve the optimal travel plan.

[0487] 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.

[0488] In this invention, the server includes a means for a user to input conditions such as travel destination, how to spend time, schedule, budget, etc., a means for transmitting the condition data to the server, and a means for the server to generate an optimal travel plan using a generative AI model based on the condition data and transmit the plan to the terminal. This allows the server to automatically generate multiple travel plans based on the user's requests, and the user can easily select a plan via the terminal and customize and book it all at once.

[0489] "User" means a person who uses the travel planning system to input travel requirements and select and customize the presented plan.

[0490] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0491] The "server" is a device that analyzes the condition data received from the user, generates the optimal travel plan using a generative AI model, and sends it to the terminal.

[0492] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates multiple travel plans based on accumulated data.

[0493] A "terminal" is a device (e.g., a smartphone, tablet, PC, etc.) that a user uses to access the travel planning system and input travel conditions.

[0494] "Travel Plan" refers to a specific itinerary proposal based on the user's travel requirements, created by the server using a generative AI model.

[0495] "Customization" refers to the act of a user changing the details of a presented travel plan to tailor it to their own preferences.

[0496] "Reservation" refers to the process of securing various services such as flights, accommodation, meals, and activities all at once based on a travel plan confirmed by the server.

[0497] A "prompt" refers to a text instruction entered to specify a specific condition or request to a generative AI model.

[0498] This invention is a system that streamlines users' travel planning. In this system, users input travel conditions such as destination, activities, schedule, and budget, and based on this, a server automatically generates an optimal travel plan using a generative AI model. Travel plans can be customized by the user, and the server can make all the necessary reservations in one go.

[0499] Hardware and Software Configuration

[0500] 1. Terminal: A device operated by a user, such as a smartphone, tablet, or PC. The terminal accesses the server via a web browser or dedicated application.

[0501] 2. Server: A central processing unit that generates travel plans and handles reservations. The server is connected to a database and has a plan generation function that uses a generative AI model.

[0502] Main processing flow

[0503] 1. Enter the conditions:

[0504] The user uses the device to input travel conditions such as the destination, how to spend the time, schedule, budget, etc. For example, the destination can be set to "Kyoto," the way of spending the time to "sightseeing," the schedule to "three days from May 1st, 2023," and the budget to "100,000 yen."

[0505] 2. Data transmission:

[0506] The device sends the condition data entered by the user to the server. Specifically, it uses an HTTP request to send the condition data to the server's API endpoint.

[0507] 3. Plan Generation:

[0508] The server analyzes the received condition data and generates an optimal travel plan using a generative AI model, which references past plan information stored in a database to create multiple candidate plans.

[0509] 4. Submit and view plans:

[0510] The server sends the generated travel plan to the device, which analyzes it and displays it visually to the user. For example, Plan A might be "stay at a traditional inn and enjoy a full course of Japanese cuisine," while Plan B might be "stay at a modern hotel and enjoy a tour of local cuisine."

[0511] 5. Plan Selection and Customization:

[0512] The user selects the plan they like from the displayed options and then customizes it further. For example, the user selects Plan A and extends the checkout time by one hour. This information is sent from the terminal to the server.

[0513] 6. Finalize your plan and book:

[0514] The server determines the final travel plan based on the received customization information and makes all reservations for flights, accommodation, meals, activities, etc. It checks the reservation status and handles errors if any occur.

[0515] 7. Submitting and Displaying Reservation Information:

[0516] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed information about the trip (reservation number, dates, location, important notes, etc.) to the user.

[0517] Specific examples

[0518] A specific example is shown below: If a user wants to visit "Kyoto" on a "family trip" during Golden Week in May 2023, the user enters the conditions into the system.

[0519] Destination: Kyoto

[0520] How to spend the day: "Family trip"

[0521] Date: May 1st to 3rd, 2023

[0522] Budget: 100,000 yen

[0523] The server uses a generative AI model to propose the following plan:

[0524] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0525] 2. Plan B: Stay in a modern hotel and try local cuisine.

[0526] The user selects Plan A and changes the check-out time from 11:00 to 12:00. This information is sent to the server, which then finalizes the plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, allowing the user to complete all procedures at once.

[0527] Prompt Sentence Examples

[0528] Below are some examples of prompts to input to the generative AI model.

[0529] text

[0530] Enter your travel criteria ("Destination: Kyoto," "Sightseeing," "Dates: 3 days from May 1st, 2023," and "Budget: 100,000 yen") to generate a travel plan that best suits your needs. The plan will include accommodation, meal, and activity options.

[0531] The present invention allows users to efficiently plan their trips, select the most suitable plan from a variety of options, and easily complete customization and reservations.

[0532] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0533] Step 1:

[0534] The user uses a device to input travel conditions such as destination, activities, schedule, and budget. This operation is performed through the device's user interface. For example, the user might input "Destination: Kyoto," "Activity: Family trip," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen." The input data is saved in the device as condition data in JSON format.

[0535] Step 2:

[0536] The device sends the entered condition data to the server using an HTTP request. Specifically, the condition data is sent to an API endpoint, and the server receives this data. The condition data is used as input, and a confirmation message is generated as output and sent to the server.

[0537] Step 3:

[0538] The server analyzes the received condition data and generates an optimal travel plan using a generative AI model. It accesses the database to extract accumulated plan information and creates multiple optimized travel plans based on the condition data. The condition data and plan information in the database are used as input, and the generated multiple travel plans are obtained as output.

[0539] Step 4:

[0540] The server converts the generated travel plan into JSON format and sends it to the terminal using an HTTP response. Specifically, the generated travel plan data is returned as an HTTP response. The input is the generated travel plan data, and the output is the data converted into a format that can be sent to the terminal.

[0541] Step 5:

[0542] The terminal analyzes the received travel plan data and visually displays it to the user through a user interface. The user can check each plan. For example, Plan A might be "staying at a traditional inn and enjoying a full course of Japanese cuisine," while Plan B might be "staying at a modern hotel and touring local cuisine." The travel plan data received from the server is used as input, and a visual plan display is obtained as output.

[0543] Step 6:

[0544] The user selects the plan they like from the displayed ones and performs detailed customization. For example, the user selects Plan A and extends the checkout time by one hour. This information is entered through the device's user interface and saved in the device as customization data in JSON format. The inputs are the user's selection and customization details, and the output is customization data.

[0545] Step 7:

[0546] The device sends user customization information to the server using an HTTP request. Specifically, the customization data is sent to an API endpoint and received by the server. The customization data is used as input to generate a confirmation message that is sent to the server as output.

[0547] Step 8:

[0548] The server determines the final travel plan based on the received customization information. The server uses a booking API to book flights, accommodation, meals, and activities all at once. The inputs are the customization data and the booking API, and the output is the final plan and the status of each booking.

[0549] Step 9:

[0550] The server sends the final travel plan and reservation information in JSON format to the terminal, which parses it and notifies the user. Specifically, the terminal visually displays the final travel plan, reservation number, dates, location, and important notes. The input is the final plan and reservation information sent from the server, and the output is notification data for the user.

[0551] (Application example 1)

[0552] 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."

[0553] In conventional travel planning systems, users have to spend a lot of time and effort to find and customize travel plans that meet their requirements, and it is difficult to make bulk reservations. Therefore, there is a need for a system that can significantly reduce the user's effort and enable efficient and intuitive travel plan creation and booking.

[0554] 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.

[0555] In this invention, the server includes: means for a user to input conditions such as travel destination, activities, itinerary, and budget; means for transmitting the condition data to the server; means for the server to generate an optimal travel plan based on the condition data and transmit it to the terminal; means for the user to select and customize the travel plan presented via the terminal; means for transmitting the selection and customization information to the server; means for the server to finalize the travel plan and make reservations for transportation, accommodations, restaurants, and activities all at once; means for transmitting the final plan and reservation information to the terminal and notifying the user; means for generating and customizing the travel plan using a generative AI model; and means for the server to generate prompts required for generating the travel plan and process them together with the condition data. This allows users to efficiently and intuitively create, customize, and book travel plans all at once.

[0556] A "user" is an individual or organization that uses the travel planning system.

[0557] "Travel destination" is information indicating a destination that the user wants to visit.

[0558] "How to spend your time" is information that refers to the activities and style of spending time at your travel destination.

[0559] "Schedule" is information indicating the start and end dates or duration of a trip.

[0560] "Budget" is information indicating the upper limit of expenses that can be spent on a trip.

[0561] "Condition data" is a collection of information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0562] A "server" is a remote computer system that receives user-submitted request data, creates and customizes travel plans, and collectively processes reservations.

[0563] A "terminal" is a device (smartphone, tablet, PC, etc.) that a user uses to access and operate the travel planning system.

[0564] "Transportation" is the means of travel used for travel (e.g., plane, train, bus, etc.).

[0565] "Accommodation" refers to a facility where a user can stay while traveling (e.g., a hotel, inn, business hotel, etc.).

[0566] A "restaurant" is a place where a user can eat while traveling.

[0567] "Activities" are events and programs that include sightseeing and experiential activities at travel destinations.

[0568] A "generative AI model" is a machine learning model used to automatically generate optimal travel plans based on the conditions entered by the user.

[0569] A "prompt sentence" is an input sentence used by the generative AI model when generating a travel plan, and is a sentence created based on condition data.

[0570] This invention is a system that allows a server to generate and customize an optimal travel plan based on user input conditions such as travel destination, activities, schedule, and budget. This system uses a generative AI model to automatically generate highly accurate travel plans, and also generates the necessary prompt sentences and processes them together with the condition data.

[0571] Specific example program explanation

[0572] Hardware usage example

[0573] Server: High-performance computer, cloud server (e.g., Amazon Web Services, Google Cloud Platform)

[0574] Devices: Smartphones, tablets, PCs

[0575] Software usage examples

[0576] Programming language: Python

[0577] Data format: JSON

[0578] Machine learning models: Generative AI models (e.g., GPT-3)

[0579] Database: SQL, NoSQL (e.g. MySQL, MongoDB)

[0580] What the program does

[0581] 1. User condition input

[0582] Users access the system from their smartphone or PC and enter travel information such as destination, how they will spend their time, schedule, and budget.

[0583] 2. Sending condition data to the server

[0584] The entered condition data is sent to the server via the network, where it is analyzed and prepared for appropriate processing.

[0585] 3. Plan generation using generative AI models

[0586] The server automatically generates an optimal travel plan using a generative AI model based on the condition data, and generates prompt sentences and inputs them into the AI ​​model.

[0587] Example prompt sentence:

[0588] The travel destination is Kyoto, the plan is sightseeing, the dates are 3 days from May 1st to 2023, and the budget is 100,000 yen. Based on these conditions, generate the optimal travel plan.

[0589] 4. Presenting your travel plans

[0590] The server sends the generated itineraries to the device, where the user can visually check them and intuitively operate them by swiping and tapping.

[0591] 5. Customize your plan

[0592] The user selects a plan from the list and customizes it as needed (e.g., changing the check-out time). This customization information is then sent back to the server.

[0593] 6. Finalize the plan and make a reservation

[0594] The server finalizes the itinerary based on the customized information, allowing you to book transportation, accommodation, restaurants, and activities all in one place.

[0595] 7. Completion notification

[0596] The server sends the final plan and reservation information to the terminal and notifies the user of completion. The user can then check all travel details (reservation number, dates, location, notes, etc.) on the terminal.

[0597] Specific examples

[0598] For example, if a user wants to visit Kyoto on a "family trip" during Golden Week in May 2023, the process will be as follows:

[0599] 1. Input example: Destination: Kyoto, How to spend time: Sightseeing, Dates: 3 days from May 1st, 2023, Budget: 100,000 yen

[0600] 2. Generated prompt:

[0601] The travel destination is Kyoto, the plan is sightseeing, the dates are 3 days from May 1st to 2023, and the budget is 100,000 yen. Based on these conditions, generate the optimal travel plan.

[0602] 3. Examples of proposed plans:

[0603] Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal

[0604] Plan B: Stay in a modern hotel and try local cuisine

[0605] The user selects Plan A and changes the check-out time from 11:00 to 12:00. Based on this, the server determines the final plan and makes all reservations at once.

[0606] The present invention aims to enable users to create travel plans and make reservations efficiently and intuitively, thereby significantly reducing the amount of work required by users.

[0607] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0608] Step 1: The user enters travel destination, travel plans, dates, budget, and other conditions into the device.

[0609] Input: User's travel conditions data (e.g., destination, how to spend time, schedule, budget)

[0610] Output: Travel condition data entered into the terminal

[0611] Specific operation: The user enters travel conditions such as destination, activities, schedule, budget, etc. into the input form on the device. Once the input is complete, the device converts this condition data into a structured data format.

[0612] Step 2: The terminal transmits the condition data to the server.

[0613] Input: Travel conditions data entered into the terminal

[0614] Output: Travel condition data sent to the server

[0615] Specific operation: The device sends the condition data entered by the user to the server via the network. The data is sent to the server in JSON format.

[0616] Step 3: The server inputs the condition data into the generated AI model and generates the optimal travel plan.

[0617] Input: Travel condition data sent to the server

[0618] Output: Multiple generated itineraries

[0619] Specific operation: The server receives the condition data and generates a prompt sentence based on it. The generated prompt sentence is input into a generative AI model (e.g., GPT-3) to generate an optimal travel plan. Multiple candidate plans are generated and stored on the server in structured data format.

[0620] Step 4: The server transmits the generated itineraries to the terminal.

[0621] Input: Generated itineraries

[0622] Output: Multiple itineraries sent to the device

[0623] Specific operation: The server sends the generated itineraries to the device as JSON data, which the user can visually check on the device screen.

[0624] Step 5: The user selects and customizes the proposed itinerary.

[0625] Input: Multiple proposed travel plans

[0626] Output: Selected itinerary and customization information

[0627] Specific operation: The user checks the presented travel plans on the device screen and makes selections by swiping or tapping. After making a selection, the user enters any items that require customization (e.g., changing the check-out time). This data is saved on the device.

[0628] Step 6: The terminal sends the selected travel plan and customization information to the server.

[0629] Input: Selected travel plan and customization information

[0630] Output: Selections and customizations sent to the server

[0631] Specific operation: The terminal sends the travel plan selected and customized by the user and its details to the server via the network.

[0632] Step 7: The server finalizes the travel plans and makes the bookings in bulk.

[0633] Input: Selections and customization information sent to the server

[0634] Output: Final confirmed travel plans and booking information

[0635] Specific operations: The server finalizes the travel plan based on the user's selections and customized information. Based on the finalized plan, it makes a bulk reservation for transportation, accommodation, restaurants, and activities. The reservation information is generated and saved on the server.

[0636] Step 8: The server sends the final plan and reservation information to the terminal and notifies the user.

[0637] Input: Final confirmed travel plans and booking information

[0638] Output: Final itinerary and booking information sent to the device

[0639] Specific operation: The server sends the final travel plan and reservation information to the terminal and notifies the user. The user can then check all the trip details (reservation number, dates, location, notes, etc.) on the terminal.

[0640] 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.

[0641] This invention is a system that streamlines user travel planning and proposes optimal travel plans that take the user's emotions into consideration. Specifically, the user inputs travel conditions such as destination, activities, schedule, and budget, and the server automatically generates the optimal travel plan based on these. Furthermore, an emotion engine that recognizes emotions from the user's facial expressions and voice is incorporated, making it possible to propose and customize plans that reflect the user's emotions.

[0642] Condition setting

[0643] First, the user accesses the travel plan proposal system using a device (smartphone, tablet, PC, etc.). The user inputs conditions such as the travel destination, how to spend time, schedule, and budget. For example, the user might set conditions such as "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen."

[0644] Plan Generation and Emotion Recognition

[0645] The device sends the user-entered condition data to the server. The server analyzes this condition data and generates multiple relevant travel plans from its accumulated database. At the same time, the device analyzes the user's facial expressions and voice through its built-in camera and microphone, and an emotion engine evaluates the user's emotions. The emotion engine recognizes the user's emotional state (joy, surprise, stress, etc.).

[0646] Adjusting your plan based on emotions

[0647] The server evaluates the generated travel plans based on the user's emotional data obtained from the emotion engine. For example, it will prioritize relaxing plans for a stressed user, and suggest plans including active activities to an excited user.

[0648] Choose and customize your plan

[0649] The device displays the adjusted travel plans received from the server in a visually easy-to-understand format to the user. The user can select a plan by swiping or tapping, and then perform further customization operations. For example, the user can select "Plan A" and customize it by extending the check-out time by one hour. This customization information is sent from the device to the server.

[0650] Finalize your plan and make a reservation

[0651] The server finalizes the travel plan based on the selections and customization information received from the user. The server makes all reservations for flights, accommodations, meals, activities, etc. It verifies that all necessary reservations have been completed successfully and handles any errors if there are any issues.

[0652] Completion notification

[0653] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed travel information (reservation number, dates, location, important notes, etc.) to the user. This allows the user to complete travel planning and reservations in one go.

[0654] Specific examples

[0655] For example, suppose a user wants to take a "family trip" to "Kyoto" during Golden Week in May 2023. When the user enters the conditions into the system, the server proposes the following plan.

[0656] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0657] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[0658] The user selects Plan A and extends the check-out time by one hour. During this time, the emotion engine analyzes the user's facial expressions and voice and recognizes, for example, that the user is relaxed. This information is sent to the server, which then determines the optimized final plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, allowing the user to complete all procedures at once.

[0659] As described above, the present invention is a system that can improve the efficiency of a user's trip planning and provide an optimal trip plan that takes into account the user's emotional state.

[0660] The processing flow will be explained below.

[0661] Program processing steps

[0662] Step 1:

[0663] The user accesses the travel plan proposal system from their device, inputs conditions such as destination (e.g., Kyoto), how to spend the time (e.g., sightseeing), dates (e.g., three days from May 1st, 2023), and budget (e.g., 100,000 yen), and presses the send button.

[0664] Step 2:

[0665] The terminal converts the condition data entered by the user into JSON format and sends the converted data to the server as an HTTP request.

[0666] Step 3:

[0667] The device's built-in camera and microphone are activated to capture the user's facial expressions and voice in real time, and the emotion engine analyzes this data to evaluate the user's emotional state.

[0668] Step 4:

[0669] The server analyzes the received condition data, searches for relevant travel plans from its database based on the conditions, and generates multiple candidate plans and adds detailed information (such as accommodation, meals, and activities).

[0670] Step 5:

[0671] The emotion engine's analysis results are sent to the server, which then prioritizes the generated travel plans based on the user's emotional state. For example, if the user is feeling stressed, it will prioritize relaxing plans.

[0672] Step 6:

[0673] The server compiles the adjusted travel plan in JSON format and sends it to the device. The device parses the received travel plan information and displays it to the user in a visually easy-to-understand format (e.g., list format, card format).

[0674] Step 7:

[0675] Users can swipe and tap to browse through multiple itineraries, select the one they like best, and customize it further, such as changing the departure time or upgrading accommodations.

[0676] Step 8:

[0677] The device converts the user's selections and customizations into JSON format, which it then sends to the server as an HTTP request.

[0678] Step 9:

[0679] The server analyzes the received selection and customization information, determines the final travel plan, and performs the necessary booking procedures based on this plan.

[0680] Step 10:

[0681] The server handles all bookings for flights, accommodation, meals, and activities in one place, checking whether the booking was completed successfully and handling any errors if there was a problem.

[0682] Step 11:

[0683] The server sends the finalized travel plan and reservation details to the terminal, which receives it and displays it to the user in a visually understandable format.

[0684] Step 12:

[0685] The user confirms the final plan and reservation information sent to them through the terminal, and all travel plans and reservations are now complete.

[0686] These are the specific program processing steps for the Travel Planner system that combines the emotion engine. This allows users to efficiently and easily plan their trips and complete reservations. Furthermore, the system proposes plans that take the user's emotional state into consideration, resulting in a more satisfying trip.

[0687] Example 2

[0688] 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."

[0689] Conventional travel planning systems generate travel plans without considering the user's emotional state, making it impossible to provide optimal plans for different emotional states, such as when the user wants to relax or get excited. Furthermore, the system lacked the ability to automatically evaluate multiple travel plans and adjust them based on the user's emotions, which could result in lower user satisfaction. This made it difficult for users to efficiently select and book plans that were more relaxing or more exciting.

[0690] 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.

[0691] In this invention, the server includes a means for the user to input travel conditions such as travel destination, how to spend time, schedule, budget, etc., a means for analyzing the user's facial expressions and voice to recognize the user's emotional state, and a means for evaluating and adjusting the travel plan based on the recognized emotional data. This makes it possible to provide the user with an optimal travel plan for different emotional states, such as when they want to relax or when they want to get excited.

[0692] "User" means an individual who accesses the system and enters, selects, and customizes travel plans.

[0693] "Terminal" refers to a device used by a user to access the system, such as a smartphone, tablet, or PC.

[0694] "Server" refers to the central processing unit that analyzes data received from users, generates, evaluates and adjusts travel plans, and handles reservations and notifications.

[0695] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0696] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and voice through the device's camera and microphone, and recognizes their emotional state.

[0697] "Travel plan" refers to a plan generated by the server that includes the user's travel destination, itinerary, budget, activities, etc.

[0698] "Customization" refers to changes or adjustments that a user makes to a presented travel plan.

[0699] "Final Plan" refers to the travel plan that is finalized after the user has made selections and customizations.

[0700] "Reservation" refers to the process by which the server reserves transportation, accommodation, meals, activities, etc. in advance.

[0701] "Notification" refers to the means by which the server notifies the user of the final plan and reservation information.

[0702] The present invention provides a system for improving the efficiency of a user's travel planning and proposing an optimal travel plan that takes into consideration the user's emotions. Detailed embodiments of the present invention will be described below.

[0703] Hardware and software used

[0704] Devices: devices such as smartphones, tablets, and PCs

[0705] Server: Central Processing Unit

[0706] Emotion engine: Software that uses the device's camera and microphone to analyze facial expressions and voice.

[0707] What the program does

[0708] Users access the system using a terminal. They input travel conditions such as destination, activities, schedule, and budget, and send them to the terminal. The terminal then sends this condition data to the server.

[0709] The server analyzes the received request data and generates multiple corresponding travel plans from the database. At the same time, the device analyzes the user's facial expressions and voice, and the emotion engine recognizes the user's emotional state.

[0710] For example, if a user inputs "Destination: Kyoto," "Sightseeing," "Dates: 3 days from May 1st, 2023," and "Budget: 100,000 yen," the server will generate a plan to "stay at a traditional inn and enjoy a full course of Japanese cuisine" or "stay at a modern hotel and tour local cuisine." During this time, the emotion engine will analyze the user's smile and voice to recognize when the user is relaxed.

[0711] The server evaluates and adjusts the generated travel plan based on the emotional data. For example, if the user is relaxed, it will prioritize and suggest a more relaxing plan. On the other hand, if the user is excited, it will recommend a plan that includes more active activities.

[0712] The terminal presents the user with multiple adjusted travel plans in a visually easy-to-understand format. The user selects one of the displayed plans and customizes it further. For example, the user selects "Plan A" and customizes it by extending the check-out time by one hour. This customization information is then sent back to the server from the terminal.

[0713] The server finalizes the travel plan and makes all reservations for flights, accommodations, meals, activities, etc. If all reservations are completed successfully, the server sends the final plan and reservation information to the terminal, which notifies the user and displays detailed information about the trip.

[0714] Specific examples

[0715] If a user wants to visit Kyoto on a "family trip" during Golden Week in May 2023, the user inputs the conditions into the system. The server then proposes the following plan:

[0716] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0717] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[0718] The user selects "Plan A" and extends the check-out time by another hour. During this time, the emotion engine recognizes that the user is relaxed and sends this information to the server. The server then determines the optimized final plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, and the user completes all procedures at once.

[0719] Prompt Sentence Examples

[0720] "Please suggest the best travel plan based on the following criteria: Destination: Kyoto, Activities: Sightseeing, Dates: 3 days from May 1st, 2023, Budget: 100,000 yen. Also, please adjust the plan taking into account the user's emotional state."

[0721] This system will improve the efficiency of users' travel planning and provide optimal travel plans that take into account the user's emotional state.

[0722] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0723] Step 1:

[0724] The user accesses the system using a terminal and inputs travel conditions such as destination, how to spend time, schedule, budget, etc. Specifically, the user enters "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen" into the input form on the terminal.

[0725] Input: User's travel conditions (destination, how to spend time, schedule, budget)

[0726] Output: Conditional data packet

[0727] Specific operation: When the user completes input and taps the "Send" button, the device assembles the input condition data into a data packet.

[0728] Step 2:

[0729] The terminal sends the condition data entered by the user to the server, where it formats the data and performs appropriate encoding before sending it.

[0730] Input: Conditional data packet

[0731] Output: Condition data sent to the server

[0732] Specific operation: The device encodes the condition data into an appropriate format, such as JSON, and sends it to the server over the network.

[0733] Step 3:

[0734] The server analyzes the received condition data and generates multiple corresponding travel plans from the database.

[0735] Input: Received condition data packet

[0736] Output: Multiple itineraries

[0737] What happens: The server parses the condition data and executes a database query to generate potential travel plans, such as "Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal" and "Plan B: Stay at a modern hotel and sample local cuisine."

[0738] Step 4:

[0739] The device uses a camera and microphone to analyze the user's facial expressions and voice in real time, and an emotion engine evaluates the user's emotional state.

[0740] Input: User's facial expression data, voice data

[0741] Output: User's emotion data (happiness, surprise, stress, etc.)

[0742] How it works: The device's camera captures the user's face and microphone records their voice. The emotion engine analyzes this to evaluate their emotional state and output it as data.

[0743] Step 5:

[0744] The server evaluates and adjusts the travel plans it generates based on emotion data. For example, it prioritizes relaxing plans for users who are feeling stressed.

[0745] Input: Generated travel plan, user emotion data

[0746] Output: Adjusted itinerary

[0747] How it works: The server uses emotion data to evaluate and rank travel plan candidates and select the most suitable one. For example, if a user wants to relax, it will prioritize plans that include hot springs and massages.

[0748] Step 6:

[0749] The device displays multiple tailored itineraries to the user in a visually easy-to-understand format, allowing the user to select an itinerary with a swipe or tap and then perform detailed customization operations.

[0750] Input: Adjusted travel plan

[0751] Output: User selected and customized plan

[0752] Specific operation: The terminal displays a list of plans, the user selects "Plan A," and customizes the plan, such as extending the check-out time by one hour.

[0753] Step 7:

[0754] The server finalizes the travel plan based on the selections and customization information received from the user, and makes all reservations for transportation, accommodation, meals, activities, etc.

[0755] Input: User selections and customization information

[0756] Output: Final confirmed plan and reservation information

[0757] Specific operation: The server connects to the reservation system, checks the availability of flights and accommodations, and completes the reservation.

[0758] Step 8:

[0759] The server sends the final plan and reservation information to the terminal and notifies the user, and the terminal analyzes the received information and displays the trip details to the user.

[0760] Input: Final confirmed plan and reservation information

[0761] Output: Notify user, display trip details

[0762] What happens: The device displays a notification and provides the user with trip details (reservation number, dates, location, precautions, etc.).

[0763] The above are the specific processing steps of the program of this system.

[0764] (Application example 2)

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

[0766] Conventional travel planning systems have difficulty providing users with travel plans that take into account their emotional state and current mental state. For example, if a user is feeling stressed, a relaxing travel plan is desirable, but there is no way to automatically suggest such a plan. Furthermore, even if a user expresses an emotional reaction to a proposed plan, this is not reflected in the system, making it difficult to increase user satisfaction. Therefore, providing optimal travel plans that take into account the user's emotions is a challenge.

[0767] 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.

[0768] In this invention, the server includes: means for a user to input travel conditions such as travel destination, how to spend time, schedule, and budget; means for transmitting the condition data to the server; means for a terminal to analyze the user's facial expressions and voice and evaluate the user's emotional state using an emotion recognition engine; means for evaluating and adjusting the travel plan generated by the server based on the user's emotional state obtained from the emotion recognition engine; means for the user to select and customize the travel plan presented via the terminal; means for transmitting the selection and customization information to the server; means for the server to finalize the travel plan and make reservations in one go, including reservations for accommodations and selection of dining locations; and means for transmitting the final plan and reservation information to the terminal and notifying the user. This makes it possible to provide an optimal travel plan that takes the user's emotional state into consideration.

[0769] "User" refers to an individual person who uses the travel planning system.

[0770] A "travel destination" refers to a particular place or region that a user wants to visit.

[0771] "How to spend time" refers to the activities that the user will do during the trip, such as sightseeing, vacation, etc.

[0772] "Dates" refers to the period of time including the start and end dates of the trip.

[0773] "Budget" refers to the amount of money a user plans to spend on a trip.

[0774] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0775] "Server" refers to a computer system that processes information received from users and generates optimal travel plans.

[0776] "Terminal" refers to a device such as a smartphone, tablet, or PC that a user uses to access the travel planning system.

[0777] "Facial expressions" refer to facial movements and expressions that express the user's emotional state.

[0778] "Voice" refers to the voice quality and speech characteristics used to analyze the user's emotional state.

[0779] An "emotion recognition engine" refers to software or a system that analyzes a user's facial expressions and voice to assess their emotional state.

[0780] "Emotional state" refers to the emotion the user is currently feeling, such as joy, surprise, stress, etc.

[0781] "Travel plan" refers to an itinerary generated based on the user's condition data and emotional state.

[0782] "Adjustment" refers to optimizing the travel plan based on the user's emotional state obtained from the emotion recognition engine.

[0783] "Customization" refers to changes a user makes to a proposed travel plan to reflect their specific wants and desires.

[0784] "Accommodation" refers to a place where a user stays during a trip, such as a hotel or inn.

[0785] "Reservation" refers to the process of securing various services required for a travel plan in advance.

[0786] "Notification" refers to the act of informing the user of final travel plans and booking information.

[0787] This invention is a system for suggesting optimal travel plans that take into account a user's emotional state when the user inputs travel conditions such as destination, activities, schedule, and budget. This system is realized using the following means.

[0788] First, the user accesses a travel planning app using a device such as a smartphone, tablet, or PC and enters travel destination, how to spend the day, dates, budget, and other conditions.

[0789] The device then sends the entered conditions to the server, which generates an optimal travel plan based on these conditions. The device also uses its built-in camera and microphone to collect the user's facial expressions and voice, and evaluates the user's emotional state using an emotion recognition engine. This engine uses, for example, Microsoft Azure Cognitive Services or Affectiva.

[0790] The server evaluates the generated itinerary based on the user's emotional state obtained from the emotion recognition engine and makes adjustments as necessary. Based on the emotional state, multiple optimal candidate itineraries are also generated. The server then obtains details of the actual itinerary using the Google Places API. It also uses a generative AI model (e.g., OpenAI GPT-4) to select and suggest specific itineraries that take the user's emotional state into account.

[0791] To give a specific example, a user enters "I would like to tour Kyoto for three days starting from May 1, 2023" and sets the budget to 100,000 yen. If the device analyzes the user's emotional state as "relaxed," the server will generate and present the following plan, for example:

[0792] Plan A: Stay at a traditional ryokan and enjoy a full-course Japanese meal, including a relaxing hot spring bath.

[0793] Plan B: Stay in a modern hotel and explore local cuisine with easy access to tourist attractions.

[0794] The user selects the plan they want from the ones presented and customizes it. For example, when selecting Plan A, they can extend the check-out time by one hour. The customization information is sent from the terminal to the server.

[0795] Finally, the server determines the final travel plan based on the user's selection and customization information. This plan includes reservations for accommodations and restaurants. The server makes all of these reservations in one go, and sends the final plan and reservation information to the terminal to notify the user.

[0796] In this system, for example, by inputting the following prompt sentence into the generative AI model, it is possible to propose a detailed plan based on the user's emotions.

[0797] "If the user's emotional state is relaxed, what is the best travel plan? Suggestions target Plan A and Plan B."

[0798] This allows the system to provide an optimal travel plan that meets the user's requirements while taking into consideration the user's emotional state.

[0799] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0800] Step 1:

[0801] The user inputs the conditions into the terminal, including details of the trip, such as the destination, how to spend the time, the schedule, and the budget. This becomes the condition data, which is sent to the server in the next step.

[0802] Input: Travel destination, how to spend time, dates, budget

[0803] Output: Condition data

[0804] Step 2:

[0805] The terminal transmits the condition data to the server. The terminal transmits the condition data entered by the user to the server, and data processing begins.

[0806] Input: Condition data

[0807] Output: Condition data sent to the server

[0808] Step 3:

[0809] The device analyzes the user's facial expressions and voice. It collects the user's facial expressions and voice through the device's camera and microphone, and evaluates the user's emotional state using an emotion recognition engine.

[0810] Input: User's facial expression, user's voice

[0811] Output: Emotional state data

[0812] Step 4:

[0813] The server generates an optimal travel plan based on the condition data and emotional state data. The server uses databases such as Google Places API to generate multiple travel plans that match the conditions. Furthermore, each plan is evaluated and optimized based on the emotional state data obtained from the emotion recognition engine.

[0814] Input: Condition data, emotional state data

[0815] Output: Multiple optimized itineraries

[0816] Step 5:

[0817] The server sends the optimal travel plan to the terminal, and then sends multiple travel plans generated by the server to the terminal and presents them to the user.

[0818] Input: Multiple optimized itineraries

[0819] Output: The itinerary sent to the user's device

[0820] Step 6:

[0821] The user selects and customizes the proposed itinerary. The user selects the desired itinerary from the itinerary displayed on the terminal screen and makes specific changes as needed (e.g., extending the check-out time).

[0822] Input: Multiple optimized itineraries

[0823] Output: Selection and customization information

[0824] Step 7:

[0825] The terminal transmits the selection and customization information to the server. The user transmits the selected plan and the customized information to the server, and the final plan is confirmed.

[0826] Input: Selection and customization information

[0827] Output: Selection and customization information sent to the server

[0828] Step 8:

[0829] The server determines the final travel plan and makes reservations in bulk. The server determines the final travel plan based on the received information and makes reservations for accommodations, dining, etc. in bulk.

[0830] Input: Selection and customization information

[0831] Output: Finalized travel plans and reservation information

[0832] Step 9:

[0833] The server sends the final plan and reservation information to the terminal and notifies the user. The server sends the final confirmed travel plan and reservation information to the terminal and notifies the user. The user receives all necessary information through the terminal.

[0834] Input: Finalized travel plans, reservation information

[0835] Output: Final plan and reservation information sent to the user's device

[0836] 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.

[0837] 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.

[0838] 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.

[0839] [Third embodiment]

[0840] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0841] 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.

[0842] 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).

[0843] 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.

[0844] 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.

[0845] 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).

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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."

[0852] This invention is a system for making users' travel planning more efficient. Specifically, the user inputs travel conditions such as destination, activities, schedule, and budget, and the server automatically generates an optimal travel plan based on these. The user can review and customize the plan, and the server makes all the necessary reservations. The details are described below.

[0853] Condition setting

[0854] First, the user accesses the travel plan proposal system using a device (smartphone, tablet, PC, etc.). The user inputs conditions such as the travel destination, how to spend time, schedule, and budget. For example, the user might set conditions such as "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen."

[0855] Plan Generation

[0856] The device sends the user-entered condition data to the server, which analyzes the condition data and generates multiple relevant travel plans from its accumulated database. This allows the server to create options such as "staying at a traditional inn and enjoying a full-course Japanese meal" or "staying at a modern hotel and touring local cuisine."

[0857] Choose and customize your plan

[0858] The device receives multiple travel plans from the server and displays them to the user in a visually easy-to-understand format. The user selects a plan using intuitive operations such as swiping and tapping, and then customizes it further. For example, the user selects "Plan A" and customizes it by extending the check-out time by one hour. This customization information is sent from the device to the server.

[0859] Finalize your plan and make a reservation

[0860] The server finalizes the travel plan based on the selections and customization information received from the user. The server makes all reservations for flights, accommodations, meals, activities, etc. in one place. It checks whether each reservation is completed successfully and handles any errors that may occur.

[0861] Completion notification

[0862] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed travel information (reservation number, dates, location, important notes, etc.) to the user. This allows the user to complete travel planning and reservations in one go.

[0863] Specific examples

[0864] For example, suppose a user wants to take a "family trip" to "Kyoto" during Golden Week in May 2023. When the user enters the conditions into the system, the server proposes the following plan.

[0865] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0866] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[0867] The user selects Plan A and changes the check-out time from 11:00 to 12:00. This information is sent to the server, which then finalizes the plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is sent to the terminal, allowing the user to complete all procedures at once.

[0868] As described above, the present invention is a system that can improve the efficiency of users' travel planning and reduce stress.

[0869] The processing flow will be explained below.

[0870] Program processing steps

[0871] Step 1:

[0872] The user accesses the travel plan proposal system from their device, inputs conditions such as destination (e.g., Kyoto), how to spend the time (e.g., sightseeing), dates (e.g., three days from May 1st, 2023), and budget (e.g., 100,000 yen), and presses the send button.

[0873] Step 2:

[0874] The terminal converts the condition data entered by the user into JSON format and sends the converted data to the server as an HTTP request.

[0875] Step 3:

[0876] The server analyzes the received condition data, searches for relevant travel plans from its database based on the conditions, and generates multiple candidate plans and adds detailed information (such as accommodation, meals, and activities).

[0877] Step 4:

[0878] The server compiles the generated travel plan in JSON format and sends it to the terminal as a response. The terminal analyzes the received travel plan information and displays it to the user in a visually easy-to-understand format (e.g., list format, card format).

[0879] Step 5:

[0880] Users can swipe and tap to browse through multiple itineraries, select the one they like best, and customize it further, such as changing the departure time or upgrading accommodations.

[0881] Step 6:

[0882] The device converts the user's selections and customizations into JSON format, which it then sends to the server as an HTTP request.

[0883] Step 7:

[0884] The server analyzes the received selection and customization information, determines the final travel plan, and performs the necessary booking procedures based on this plan.

[0885] Step 8:

[0886] The server handles all bookings for flights, accommodation, meals, and activities in one place, checking whether the booking was completed successfully and handling any errors if there was a problem.

[0887] Step 9:

[0888] The server sends the finalized travel plan and reservation details to the terminal, which receives it and displays it to the user in a visually understandable format.

[0889] Step 10:

[0890] The user confirms the final plan and reservation information sent to them through the terminal, and all travel plans and reservations are now complete.

[0891] These are the specific program processing steps in the Travel Planner system, which allow users to efficiently and easily plan their trips and complete reservations.

[0892] Example 1

[0893] 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."

[0894] Conventional travel planning systems require users to use multiple websites and applications to gather information and make reservations, which requires a great deal of time and effort. Furthermore, customizing a travel plan requires additional searches and adjustments, making the overall process cumbersome. The objective of this invention is to solve these problems and provide a system that automatically generates multiple candidate plans, allowing users to efficiently select and reserve the optimal travel plan.

[0895] 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.

[0896] In this invention, the server includes a means for a user to input conditions such as travel destination, how to spend time, schedule, budget, etc., a means for transmitting the condition data to the server, and a means for the server to generate an optimal travel plan using a generative AI model based on the condition data and transmit the plan to the terminal. This allows the server to automatically generate multiple travel plans based on the user's requests, and the user can easily select a plan via the terminal and customize and book it all at once.

[0897] "User" means a person who uses the travel planning system to input travel requirements and select and customize the presented plan.

[0898] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0899] The "server" is a device that analyzes the condition data received from the user, generates the optimal travel plan using a generative AI model, and sends it to the terminal.

[0900] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates multiple travel plans based on accumulated data.

[0901] A "terminal" is a device (e.g., a smartphone, tablet, PC, etc.) that a user uses to access the travel planning system and input travel conditions.

[0902] "Travel Plan" refers to a specific itinerary proposal based on the user's travel requirements, created by the server using a generative AI model.

[0903] "Customization" refers to the act of a user changing the details of a presented travel plan to tailor it to their own preferences.

[0904] "Reservation" refers to the process of securing various services such as flights, accommodation, meals, and activities all at once based on a travel plan confirmed by the server.

[0905] A "prompt" refers to a text instruction entered to specify a specific condition or request to a generative AI model.

[0906] This invention is a system that streamlines users' travel planning. In this system, users input travel conditions such as destination, activities, schedule, and budget, and based on this, a server automatically generates an optimal travel plan using a generative AI model. Travel plans can be customized by the user, and the server can make all the necessary reservations in one go.

[0907] Hardware and Software Configuration

[0908] 1. Terminal: A device operated by a user, such as a smartphone, tablet, or PC. The terminal accesses the server via a web browser or dedicated application.

[0909] 2. Server: A central processing unit that generates travel plans and handles reservations. The server is connected to a database and has a plan generation function that uses a generative AI model.

[0910] Main processing flow

[0911] 1. Enter the conditions:

[0912] The user uses the device to input travel conditions such as the destination, how to spend the time, schedule, budget, etc. For example, the destination can be set to "Kyoto," the way of spending the time to "sightseeing," the schedule to "three days from May 1st, 2023," and the budget to "100,000 yen."

[0913] 2. Data transmission:

[0914] The device sends the condition data entered by the user to the server. Specifically, it uses an HTTP request to send the condition data to the server's API endpoint.

[0915] 3. Plan Generation:

[0916] The server analyzes the received condition data and generates an optimal travel plan using a generative AI model, which references past plan information stored in a database to create multiple candidate plans.

[0917] 4. Submit and view plans:

[0918] The server sends the generated travel plan to the device, which analyzes it and displays it visually to the user. For example, Plan A might be "stay at a traditional inn and enjoy a full course of Japanese cuisine," while Plan B might be "stay at a modern hotel and enjoy a tour of local cuisine."

[0919] 5. Plan Selection and Customization:

[0920] The user selects the plan they like from the displayed options and then customizes it further. For example, the user selects Plan A and extends the checkout time by one hour. This information is sent from the terminal to the server.

[0921] 6. Finalize your plan and book:

[0922] The server determines the final travel plan based on the received customization information and makes all reservations for flights, accommodation, meals, activities, etc. It checks the reservation status and handles errors if any occur.

[0923] 7. Submitting and Displaying Reservation Information:

[0924] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed information about the trip (reservation number, dates, location, important notes, etc.) to the user.

[0925] Specific examples

[0926] A specific example is shown below: If a user wants to visit "Kyoto" on a "family trip" during Golden Week in May 2023, the user enters the conditions into the system.

[0927] Destination: Kyoto

[0928] How to spend the day: "Family trip"

[0929] Date: May 1st to 3rd, 2023

[0930] Budget: 100,000 yen

[0931] The server uses a generative AI model to propose the following plan:

[0932] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[0933] 2. Plan B: Stay in a modern hotel and try local cuisine.

[0934] The user selects Plan A and changes the check-out time from 11:00 to 12:00. This information is sent to the server, which then finalizes the plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, allowing the user to complete all procedures at once.

[0935] Prompt Sentence Examples

[0936] Below are some examples of prompts to input to the generative AI model.

[0937] text

[0938] Enter your travel criteria ("Destination: Kyoto," "Sightseeing," "Dates: 3 days from May 1st, 2023," and "Budget: 100,000 yen") to generate a travel plan that best suits your needs. The plan will include accommodation, meal, and activity options.

[0939] The present invention allows users to efficiently plan their trips, select the most suitable plan from a variety of options, and easily complete customization and reservations.

[0940] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0941] Step 1:

[0942] The user uses a device to input travel conditions such as destination, activities, schedule, and budget. This operation is performed through the device's user interface. For example, the user might input "Destination: Kyoto," "Activity: Family trip," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen." The input data is saved in the device as condition data in JSON format.

[0943] Step 2:

[0944] The device sends the entered condition data to the server using an HTTP request. Specifically, the condition data is sent to an API endpoint, and the server receives this data. The condition data is used as input, and a confirmation message is generated as output and sent to the server.

[0945] Step 3:

[0946] The server analyzes the received condition data and generates an optimal travel plan using a generative AI model. It accesses the database to extract accumulated plan information and creates multiple optimized travel plans based on the condition data. The condition data and plan information in the database are used as input, and the generated multiple travel plans are obtained as output.

[0947] Step 4:

[0948] The server converts the generated travel plan into JSON format and sends it to the terminal using an HTTP response. Specifically, the generated travel plan data is returned as an HTTP response. The input is the generated travel plan data, and the output is the data converted into a format that can be sent to the terminal.

[0949] Step 5:

[0950] The terminal analyzes the received travel plan data and visually displays it to the user through a user interface. The user can check each plan. For example, Plan A might be "staying at a traditional inn and enjoying a full course of Japanese cuisine," while Plan B might be "staying at a modern hotel and touring local cuisine." The travel plan data received from the server is used as input, and a visual plan display is obtained as output.

[0951] Step 6:

[0952] The user selects the plan they like from the displayed ones and performs detailed customization. For example, the user selects Plan A and extends the checkout time by one hour. This information is entered through the device's user interface and saved in the device as customization data in JSON format. The inputs are the user's selection and customization details, and the output is customization data.

[0953] Step 7:

[0954] The device sends user customization information to the server using an HTTP request. Specifically, the customization data is sent to an API endpoint and received by the server. The customization data is used as input to generate a confirmation message that is sent to the server as output.

[0955] Step 8:

[0956] The server determines the final travel plan based on the received customization information. The server uses a booking API to book flights, accommodation, meals, and activities all at once. The inputs are the customization data and the booking API, and the output is the final plan and the status of each booking.

[0957] Step 9:

[0958] The server sends the final travel plan and reservation information in JSON format to the terminal, which parses it and notifies the user. Specifically, the terminal visually displays the final travel plan, reservation number, dates, location, and important notes. The input is the final plan and reservation information sent from the server, and the output is notification data for the user.

[0959] (Application example 1)

[0960] 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."

[0961] In conventional travel planning systems, users have to spend a lot of time and effort to find and customize travel plans that meet their requirements, and it is difficult to make bulk reservations. Therefore, there is a need for a system that can significantly reduce the user's effort and enable efficient and intuitive travel plan creation and booking.

[0962] 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.

[0963] In this invention, the server includes: means for a user to input conditions such as travel destination, activities, itinerary, and budget; means for transmitting the condition data to the server; means for the server to generate an optimal travel plan based on the condition data and transmit it to the terminal; means for the user to select and customize the travel plan presented via the terminal; means for transmitting the selection and customization information to the server; means for the server to finalize the travel plan and make reservations for transportation, accommodations, restaurants, and activities all at once; means for transmitting the final plan and reservation information to the terminal and notifying the user; means for generating and customizing the travel plan using a generative AI model; and means for the server to generate prompts required for generating the travel plan and process them together with the condition data. This allows users to efficiently and intuitively create, customize, and book travel plans all at once.

[0964] A "user" is an individual or organization that uses the travel planning system.

[0965] "Travel destination" is information indicating a destination that the user wants to visit.

[0966] "How to spend your time" is information that refers to the activities and style of spending time at your travel destination.

[0967] "Schedule" is information indicating the start and end dates or duration of a trip.

[0968] "Budget" is information indicating the upper limit of expenses that can be spent on a trip.

[0969] "Condition data" is a collection of information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[0970] A "server" is a remote computer system that receives user-submitted request data, creates and customizes travel plans, and collectively processes reservations.

[0971] A "terminal" is a device (smartphone, tablet, PC, etc.) that a user uses to access and operate the travel planning system.

[0972] "Transportation" is the means of travel used for travel (e.g., plane, train, bus, etc.).

[0973] "Accommodation" refers to a facility where a user can stay while traveling (e.g., a hotel, inn, business hotel, etc.).

[0974] A "restaurant" is a place where a user can eat while traveling.

[0975] "Activities" are events and programs that include sightseeing and experiential activities at travel destinations.

[0976] A "generative AI model" is a machine learning model used to automatically generate optimal travel plans based on the conditions entered by the user.

[0977] A "prompt sentence" is an input sentence used by the generative AI model when generating a travel plan, and is a sentence created based on condition data.

[0978] This invention is a system that allows a server to generate and customize an optimal travel plan based on user input conditions such as travel destination, activities, schedule, and budget. This system uses a generative AI model to automatically generate highly accurate travel plans, and also generates the necessary prompt sentences and processes them together with the condition data.

[0979] Specific example program explanation

[0980] Hardware usage example

[0981] Server: High-performance computer, cloud server (e.g., Amazon Web Services, Google Cloud Platform)

[0982] Devices: Smartphones, tablets, PCs

[0983] Software usage examples

[0984] Programming language: Python

[0985] Data format: JSON

[0986] Machine learning models: Generative AI models (e.g., GPT-3)

[0987] Database: SQL, NoSQL (e.g. MySQL, MongoDB)

[0988] What the program does

[0989] 1. User condition input

[0990] Users access the system from their smartphone or PC and enter travel information such as destination, how they will spend their time, schedule, and budget.

[0991] 2. Sending condition data to the server

[0992] The entered condition data is sent to the server via the network, where it is analyzed and prepared for appropriate processing.

[0993] 3. Plan generation using generative AI models

[0994] The server automatically generates an optimal travel plan using a generative AI model based on the condition data, and generates prompt sentences and inputs them into the AI ​​model.

[0995] Example prompt sentence:

[0996] The travel destination is Kyoto, the plan is sightseeing, the dates are 3 days from May 1st to 2023, and the budget is 100,000 yen. Based on these conditions, generate the optimal travel plan.

[0997] 4. Presenting your travel plans

[0998] The server sends the generated itineraries to the device, where the user can visually check them and intuitively operate them by swiping and tapping.

[0999] 5. Customize your plan

[1000] The user selects a plan from the list and customizes it as needed (e.g., changing the check-out time). This customization information is then sent back to the server.

[1001] 6. Finalize the plan and make a reservation

[1002] The server finalizes the itinerary based on the customized information, allowing you to book transportation, accommodation, restaurants, and activities all in one place.

[1003] 7. Completion notification

[1004] The server sends the final plan and reservation information to the terminal and notifies the user of completion. The user can then check all travel details (reservation number, dates, location, notes, etc.) on the terminal.

[1005] Specific examples

[1006] For example, if a user wants to visit Kyoto on a "family trip" during Golden Week in May 2023, the process will be as follows:

[1007] 1. Input example: Destination: Kyoto, How to spend time: Sightseeing, Dates: 3 days from May 1st, 2023, Budget: 100,000 yen

[1008] 2. Generated prompt:

[1009] The travel destination is Kyoto, the plan is sightseeing, the dates are 3 days from May 1st to 2023, and the budget is 100,000 yen. Based on these conditions, generate the optimal travel plan.

[1010] 3. Examples of proposed plans:

[1011] Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal

[1012] Plan B: Stay in a modern hotel and try local cuisine

[1013] The user selects Plan A and changes the check-out time from 11:00 to 12:00. Based on this, the server determines the final plan and makes all reservations at once.

[1014] The present invention aims to enable users to create travel plans and make reservations efficiently and intuitively, thereby significantly reducing the amount of work required by users.

[1015] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1016] Step 1: The user enters travel destination, travel plans, dates, budget, and other conditions into the device.

[1017] Input: User's travel conditions data (e.g., destination, how to spend time, schedule, budget)

[1018] Output: Travel condition data entered into the terminal

[1019] Specific operation: The user enters travel conditions such as destination, activities, schedule, budget, etc. into the input form on the device. Once the input is complete, the device converts this condition data into a structured data format.

[1020] Step 2: The terminal transmits the condition data to the server.

[1021] Input: Travel conditions data entered into the terminal

[1022] Output: Travel condition data sent to the server

[1023] Specific operation: The device sends the condition data entered by the user to the server via the network. The data is sent to the server in JSON format.

[1024] Step 3: The server inputs the condition data into the generated AI model and generates the optimal travel plan.

[1025] Input: Travel condition data sent to the server

[1026] Output: Multiple generated itineraries

[1027] Specific operation: The server receives the condition data and generates a prompt sentence based on it. The generated prompt sentence is input into a generative AI model (e.g., GPT-3) to generate an optimal travel plan. Multiple candidate plans are generated and stored on the server in structured data format.

[1028] Step 4: The server transmits the generated itineraries to the terminal.

[1029] Input: Generated itineraries

[1030] Output: Multiple itineraries sent to the device

[1031] Specific operation: The server sends the generated itineraries to the device as JSON data, which the user can visually check on the device screen.

[1032] Step 5: The user selects and customizes the proposed itinerary.

[1033] Input: Multiple proposed travel plans

[1034] Output: Selected itinerary and customization information

[1035] Specific operation: The user checks the presented travel plans on the device screen and makes selections by swiping or tapping. After making a selection, the user enters any items that require customization (e.g., changing the check-out time). This data is saved on the device.

[1036] Step 6: The terminal sends the selected travel plan and customization information to the server.

[1037] Input: Selected travel plan and customization information

[1038] Output: Selections and customizations sent to the server

[1039] Specific operation: The terminal sends the travel plan selected and customized by the user and its details to the server via the network.

[1040] Step 7: The server finalizes the travel plans and makes the bookings in bulk.

[1041] Input: Selections and customization information sent to the server

[1042] Output: Final confirmed travel plans and booking information

[1043] Specific operations: The server finalizes the travel plan based on the user's selections and customized information. Based on the finalized plan, it makes a bulk reservation for transportation, accommodation, restaurants, and activities. The reservation information is generated and saved on the server.

[1044] Step 8: The server sends the final plan and reservation information to the terminal and notifies the user.

[1045] Input: Final confirmed travel plans and booking information

[1046] Output: Final itinerary and booking information sent to the device

[1047] Specific operation: The server sends the final travel plan and reservation information to the terminal and notifies the user. The user can then check all the trip details (reservation number, dates, location, notes, etc.) on the terminal.

[1048] 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.

[1049] This invention is a system that streamlines user travel planning and proposes optimal travel plans that take the user's emotions into consideration. Specifically, the user inputs travel conditions such as destination, activities, schedule, and budget, and the server automatically generates the optimal travel plan based on these. Furthermore, an emotion engine that recognizes emotions from the user's facial expressions and voice is incorporated, making it possible to propose and customize plans that reflect the user's emotions.

[1050] Condition setting

[1051] First, the user accesses the travel plan proposal system using a device (smartphone, tablet, PC, etc.). The user inputs conditions such as the travel destination, how to spend time, schedule, and budget. For example, the user might set conditions such as "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen."

[1052] Plan Generation and Emotion Recognition

[1053] The device sends the user-entered condition data to the server. The server analyzes this condition data and generates multiple relevant travel plans from its accumulated database. At the same time, the device analyzes the user's facial expressions and voice through its built-in camera and microphone, and an emotion engine evaluates the user's emotions. The emotion engine recognizes the user's emotional state (joy, surprise, stress, etc.).

[1054] Adjusting your plan based on emotions

[1055] The server evaluates the generated travel plans based on the user's emotional data obtained from the emotion engine. For example, it will prioritize relaxing plans for a stressed user, and suggest plans including active activities to an excited user.

[1056] Choose and customize your plan

[1057] The device displays the adjusted travel plans received from the server in a visually easy-to-understand format to the user. The user can select a plan by swiping or tapping, and then perform further customization operations. For example, the user can select "Plan A" and customize it by extending the check-out time by one hour. This customization information is sent from the device to the server.

[1058] Finalize your plan and make a reservation

[1059] The server finalizes the travel plan based on the selections and customization information received from the user. The server makes all reservations for flights, accommodations, meals, activities, etc. It verifies that all necessary reservations have been completed successfully and handles any errors if there are any issues.

[1060] Completion notification

[1061] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed travel information (reservation number, dates, location, important notes, etc.) to the user. This allows the user to complete travel planning and reservations in one go.

[1062] Specific examples

[1063] For example, suppose a user wants to take a "family trip" to "Kyoto" during Golden Week in May 2023. When the user enters the conditions into the system, the server proposes the following plan.

[1064] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[1065] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[1066] The user selects Plan A and extends the check-out time by one hour. During this time, the emotion engine analyzes the user's facial expressions and voice and recognizes, for example, that the user is relaxed. This information is sent to the server, which then determines the optimized final plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, allowing the user to complete all procedures at once.

[1067] As described above, the present invention is a system that can improve the efficiency of a user's trip planning and provide an optimal trip plan that takes into account the user's emotional state.

[1068] The processing flow will be explained below.

[1069] Program processing steps

[1070] Step 1:

[1071] The user accesses the travel plan proposal system from their device, inputs conditions such as destination (e.g., Kyoto), how to spend the time (e.g., sightseeing), dates (e.g., three days from May 1st, 2023), and budget (e.g., 100,000 yen), and presses the send button.

[1072] Step 2:

[1073] The terminal converts the condition data entered by the user into JSON format and sends the converted data to the server as an HTTP request.

[1074] Step 3:

[1075] The device's built-in camera and microphone are activated to capture the user's facial expressions and voice in real time, and the emotion engine analyzes this data to evaluate the user's emotional state.

[1076] Step 4:

[1077] The server analyzes the received condition data, searches for relevant travel plans from its database based on the conditions, and generates multiple candidate plans and adds detailed information (such as accommodation, meals, and activities).

[1078] Step 5:

[1079] The emotion engine's analysis results are sent to the server, which then prioritizes the generated travel plans based on the user's emotional state. For example, if the user is feeling stressed, it will prioritize relaxing plans.

[1080] Step 6:

[1081] The server compiles the adjusted travel plan in JSON format and sends it to the device. The device parses the received travel plan information and displays it to the user in a visually easy-to-understand format (e.g., list format, card format).

[1082] Step 7:

[1083] Users can swipe and tap to browse through multiple itineraries, select the one they like best, and customize it further, such as changing the departure time or upgrading accommodations.

[1084] Step 8:

[1085] The device converts the user's selections and customizations into JSON format, which it then sends to the server as an HTTP request.

[1086] Step 9:

[1087] The server analyzes the received selection and customization information, determines the final travel plan, and performs the necessary booking procedures based on this plan.

[1088] Step 10:

[1089] The server handles all bookings for flights, accommodation, meals, and activities in one place, checking whether the booking was completed successfully and handling any errors if there was a problem.

[1090] Step 11:

[1091] The server sends the finalized travel plan and reservation details to the terminal, which receives it and displays it to the user in a visually understandable format.

[1092] Step 12:

[1093] The user confirms the final plan and reservation information sent to them through the terminal, and all travel plans and reservations are now complete.

[1094] These are the specific program processing steps for the Travel Planner system that combines the emotion engine. This allows users to efficiently and easily plan their trips and complete reservations. Furthermore, the system proposes plans that take the user's emotional state into consideration, resulting in a more satisfying trip.

[1095] Example 2

[1096] 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."

[1097] Conventional travel planning systems generate travel plans without considering the user's emotional state, making it impossible to provide optimal plans for different emotional states, such as when the user wants to relax or get excited. Furthermore, the system lacked the ability to automatically evaluate multiple travel plans and adjust them based on the user's emotions, which could result in lower user satisfaction. This made it difficult for users to efficiently select and book plans that were more relaxing or more exciting.

[1098] 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.

[1099] In this invention, the server includes a means for the user to input travel conditions such as travel destination, how to spend time, schedule, budget, etc., a means for analyzing the user's facial expressions and voice to recognize the user's emotional state, and a means for evaluating and adjusting the travel plan based on the recognized emotional data. This makes it possible to provide the user with an optimal travel plan for different emotional states, such as when they want to relax or when they want to get excited.

[1100] "User" means an individual who accesses the system and enters, selects, and customizes travel plans.

[1101] "Terminal" refers to a device used by a user to access the system, such as a smartphone, tablet, or PC.

[1102] "Server" refers to the central processing unit that analyzes data received from users, generates, evaluates and adjusts travel plans, and handles reservations and notifications.

[1103] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[1104] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and voice through the device's camera and microphone, and recognizes their emotional state.

[1105] "Travel plan" refers to a plan generated by the server that includes the user's travel destination, itinerary, budget, activities, etc.

[1106] "Customization" refers to changes or adjustments that a user makes to a presented travel plan.

[1107] "Final Plan" refers to the travel plan that is finalized after the user has made selections and customizations.

[1108] "Reservation" refers to the process by which the server reserves transportation, accommodation, meals, activities, etc. in advance.

[1109] "Notification" refers to the means by which the server notifies the user of the final plan and reservation information.

[1110] The present invention provides a system for improving the efficiency of a user's travel planning and proposing an optimal travel plan that takes into consideration the user's emotions. Detailed embodiments of the present invention will be described below.

[1111] Hardware and software used

[1112] Devices: devices such as smartphones, tablets, and PCs

[1113] Server: Central Processing Unit

[1114] Emotion engine: Software that uses the device's camera and microphone to analyze facial expressions and voice.

[1115] What the program does

[1116] Users access the system using a terminal. They input travel conditions such as destination, activities, schedule, and budget, and send them to the terminal. The terminal then sends this condition data to the server.

[1117] The server analyzes the received request data and generates multiple corresponding travel plans from the database. At the same time, the device analyzes the user's facial expressions and voice, and the emotion engine recognizes the user's emotional state.

[1118] For example, if a user inputs "Destination: Kyoto," "Sightseeing," "Dates: 3 days from May 1st, 2023," and "Budget: 100,000 yen," the server will generate a plan to "stay at a traditional inn and enjoy a full course of Japanese cuisine" or "stay at a modern hotel and tour local cuisine." During this time, the emotion engine will analyze the user's smile and voice to recognize when the user is relaxed.

[1119] The server evaluates and adjusts the generated travel plan based on the emotional data. For example, if the user is relaxed, it will prioritize and suggest a more relaxing plan. On the other hand, if the user is excited, it will recommend a plan that includes more active activities.

[1120] The terminal presents the user with multiple adjusted travel plans in a visually easy-to-understand format. The user selects one of the displayed plans and customizes it further. For example, the user selects "Plan A" and customizes it by extending the check-out time by one hour. This customization information is then sent back to the server from the terminal.

[1121] The server finalizes the travel plan and makes all reservations for flights, accommodations, meals, activities, etc. If all reservations are completed successfully, the server sends the final plan and reservation information to the terminal, which notifies the user and displays detailed information about the trip.

[1122] Specific examples

[1123] If a user wants to visit Kyoto on a "family trip" during Golden Week in May 2023, the user inputs the conditions into the system. The server then proposes the following plan:

[1124] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[1125] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[1126] The user selects "Plan A" and extends the check-out time by another hour. During this time, the emotion engine recognizes that the user is relaxed and sends this information to the server. The server then determines the optimized final plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, and the user completes all procedures at once.

[1127] Prompt Sentence Examples

[1128] "Please suggest the best travel plan based on the following criteria: Destination: Kyoto, Activities: Sightseeing, Dates: 3 days from May 1st, 2023, Budget: 100,000 yen. Also, please adjust the plan taking into account the user's emotional state."

[1129] This system will improve the efficiency of users' travel planning and provide optimal travel plans that take into account the user's emotional state.

[1130] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1131] Step 1:

[1132] The user accesses the system using a terminal and inputs travel conditions such as destination, how to spend time, schedule, budget, etc. Specifically, the user enters "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen" into the input form on the terminal.

[1133] Input: User's travel conditions (destination, how to spend time, schedule, budget)

[1134] Output: Conditional data packet

[1135] Specific operation: When the user completes input and taps the "Send" button, the device assembles the input condition data into a data packet.

[1136] Step 2:

[1137] The terminal sends the condition data entered by the user to the server, where it formats the data and performs appropriate encoding before sending it.

[1138] Input: Conditional data packet

[1139] Output: Condition data sent to the server

[1140] Specific operation: The device encodes the condition data into an appropriate format, such as JSON, and sends it to the server over the network.

[1141] Step 3:

[1142] The server analyzes the received condition data and generates multiple corresponding travel plans from the database.

[1143] Input: Received condition data packet

[1144] Output: Multiple itineraries

[1145] What happens: The server parses the condition data and executes a database query to generate potential travel plans, such as "Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal" and "Plan B: Stay at a modern hotel and sample local cuisine."

[1146] Step 4:

[1147] The device uses a camera and microphone to analyze the user's facial expressions and voice in real time, and an emotion engine evaluates the user's emotional state.

[1148] Input: User's facial expression data, voice data

[1149] Output: User's emotion data (happiness, surprise, stress, etc.)

[1150] How it works: The device's camera captures the user's face and microphone records their voice. The emotion engine analyzes this to evaluate their emotional state and output it as data.

[1151] Step 5:

[1152] The server evaluates and adjusts the travel plans it generates based on emotion data. For example, it prioritizes relaxing plans for users who are feeling stressed.

[1153] Input: Generated travel plan, user emotion data

[1154] Output: Adjusted itinerary

[1155] How it works: The server uses emotion data to evaluate and rank travel plan candidates and select the most suitable one. For example, if a user wants to relax, it will prioritize plans that include hot springs and massages.

[1156] Step 6:

[1157] The device displays multiple tailored itineraries to the user in a visually easy-to-understand format, allowing the user to select an itinerary with a swipe or tap and then perform detailed customization operations.

[1158] Input: Adjusted travel plan

[1159] Output: User selected and customized plan

[1160] Specific operation: The terminal displays a list of plans, the user selects "Plan A," and customizes the plan, such as extending the check-out time by one hour.

[1161] Step 7:

[1162] The server finalizes the travel plan based on the selections and customization information received from the user, and makes all reservations for transportation, accommodation, meals, activities, etc.

[1163] Input: User selections and customization information

[1164] Output: Final confirmed plan and reservation information

[1165] Specific operation: The server connects to the reservation system, checks the availability of flights and accommodations, and completes the reservation.

[1166] Step 8:

[1167] The server sends the final plan and reservation information to the terminal and notifies the user, and the terminal analyzes the received information and displays the trip details to the user.

[1168] Input: Final confirmed plan and reservation information

[1169] Output: Notify user, display trip details

[1170] What happens: The device displays a notification and provides the user with trip details (reservation number, dates, location, precautions, etc.).

[1171] The above are the specific processing steps of the program of this system.

[1172] (Application example 2)

[1173] 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."

[1174] Conventional travel planning systems have difficulty providing users with travel plans that take into account their emotional state and current mental state. For example, if a user is feeling stressed, a relaxing travel plan is desirable, but there is no way to automatically suggest such a plan. Furthermore, even if a user expresses an emotional reaction to a proposed plan, this is not reflected in the system, making it difficult to increase user satisfaction. Therefore, providing optimal travel plans that take into account the user's emotions is a challenge.

[1175] 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.

[1176] In this invention, the server includes: means for a user to input travel conditions such as travel destination, how to spend time, schedule, and budget; means for transmitting the condition data to the server; means for a terminal to analyze the user's facial expressions and voice and evaluate the user's emotional state using an emotion recognition engine; means for evaluating and adjusting the travel plan generated by the server based on the user's emotional state obtained from the emotion recognition engine; means for the user to select and customize the travel plan presented via the terminal; means for transmitting the selection and customization information to the server; means for the server to finalize the travel plan and make reservations in one go, including reservations for accommodations and selection of dining locations; and means for transmitting the final plan and reservation information to the terminal and notifying the user. This makes it possible to provide an optimal travel plan that takes the user's emotional state into consideration.

[1177] "User" refers to an individual person who uses the travel planning system.

[1178] A "travel destination" refers to a particular place or region that a user wants to visit.

[1179] "How to spend time" refers to the activities that the user will do during the trip, such as sightseeing, vacation, etc.

[1180] "Dates" refers to the period of time including the start and end dates of the trip.

[1181] "Budget" refers to the amount of money a user plans to spend on a trip.

[1182] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[1183] "Server" refers to a computer system that processes information received from users and generates optimal travel plans.

[1184] "Terminal" refers to a device such as a smartphone, tablet, or PC that a user uses to access the travel planning system.

[1185] "Facial expressions" refer to facial movements and expressions that express the user's emotional state.

[1186] "Voice" refers to the voice quality and speech characteristics used to analyze the user's emotional state.

[1187] An "emotion recognition engine" refers to software or a system that analyzes a user's facial expressions and voice to assess their emotional state.

[1188] "Emotional state" refers to the emotion the user is currently feeling, such as joy, surprise, stress, etc.

[1189] "Travel plan" refers to an itinerary generated based on the user's condition data and emotional state.

[1190] "Adjustment" refers to optimizing the travel plan based on the user's emotional state obtained from the emotion recognition engine.

[1191] "Customization" refers to changes a user makes to a proposed travel plan to reflect their specific wants and desires.

[1192] "Accommodation" refers to a place where a user stays during a trip, such as a hotel or inn.

[1193] "Reservation" refers to the process of securing various services required for a travel plan in advance.

[1194] "Notification" refers to the act of informing the user of final travel plans and booking information.

[1195] This invention is a system for suggesting optimal travel plans that take into account a user's emotional state when the user inputs travel conditions such as destination, activities, schedule, and budget. This system is realized using the following means.

[1196] First, the user accesses a travel planning app using a device such as a smartphone, tablet, or PC and enters travel destination, how to spend the day, dates, budget, and other conditions.

[1197] The device then sends the entered conditions to the server, which generates an optimal travel plan based on these conditions. The device also uses its built-in camera and microphone to collect the user's facial expressions and voice, and evaluates the user's emotional state using an emotion recognition engine. This engine uses, for example, Microsoft Azure Cognitive Services or Affectiva.

[1198] The server evaluates the generated itinerary based on the user's emotional state obtained from the emotion recognition engine and makes adjustments as necessary. Based on the emotional state, multiple optimal candidate itineraries are also generated. The server then obtains details of the actual itinerary using the Google Places API. It also uses a generative AI model (e.g., OpenAI GPT-4) to select and suggest specific itineraries that take the user's emotional state into account.

[1199] To give a specific example, a user enters "I would like to tour Kyoto for three days starting from May 1, 2023" and sets the budget to 100,000 yen. If the device analyzes the user's emotional state as "relaxed," the server will generate and present the following plan, for example:

[1200] Plan A: Stay at a traditional ryokan and enjoy a full-course Japanese meal, including a relaxing hot spring bath.

[1201] Plan B: Stay in a modern hotel and explore local cuisine with easy access to tourist attractions.

[1202] The user selects the plan they want from the ones presented and customizes it. For example, when selecting Plan A, they can extend the check-out time by one hour. The customization information is sent from the terminal to the server.

[1203] Finally, the server determines the final travel plan based on the user's selection and customization information. This plan includes reservations for accommodations and restaurants. The server makes all of these reservations in one go, and sends the final plan and reservation information to the terminal to notify the user.

[1204] In this system, for example, by inputting the following prompt sentence into the generative AI model, it is possible to propose a detailed plan based on the user's emotions.

[1205] "If the user's emotional state is relaxed, what is the best travel plan? Suggestions target Plan A and Plan B."

[1206] This allows the system to provide an optimal travel plan that meets the user's requirements while taking into consideration the user's emotional state.

[1207] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1208] Step 1:

[1209] The user inputs the conditions into the terminal, including details of the trip, such as the destination, how to spend the time, the schedule, and the budget. This becomes the condition data, which is sent to the server in the next step.

[1210] Input: Travel destination, how to spend time, dates, budget

[1211] Output: Condition data

[1212] Step 2:

[1213] The terminal transmits the condition data to the server. The terminal transmits the condition data entered by the user to the server, and data processing begins.

[1214] Input: Condition data

[1215] Output: Condition data sent to the server

[1216] Step 3:

[1217] The device analyzes the user's facial expressions and voice. It collects the user's facial expressions and voice through the device's camera and microphone, and evaluates the user's emotional state using an emotion recognition engine.

[1218] Input: User's facial expression, user's voice

[1219] Output: Emotional state data

[1220] Step 4:

[1221] The server generates an optimal travel plan based on the condition data and emotional state data. The server uses databases such as Google Places API to generate multiple travel plans that match the conditions. Furthermore, each plan is evaluated and optimized based on the emotional state data obtained from the emotion recognition engine.

[1222] Input: Condition data, emotional state data

[1223] Output: Multiple optimized itineraries

[1224] Step 5:

[1225] The server sends the optimal travel plan to the terminal, and then sends multiple travel plans generated by the server to the terminal and presents them to the user.

[1226] Input: Multiple optimized itineraries

[1227] Output: The itinerary sent to the user's device

[1228] Step 6:

[1229] The user selects and customizes the proposed itinerary. The user selects the desired itinerary from the itinerary displayed on the terminal screen and makes specific changes as needed (e.g., extending the check-out time).

[1230] Input: Multiple optimized itineraries

[1231] Output: Selection and customization information

[1232] Step 7:

[1233] The terminal transmits the selection and customization information to the server. The user transmits the selected plan and the customized information to the server, and the final plan is confirmed.

[1234] Input: Selection and customization information

[1235] Output: Selection and customization information sent to the server

[1236] Step 8:

[1237] The server determines the final travel plan and makes reservations in bulk. The server determines the final travel plan based on the received information and makes reservations for accommodations, dining, etc. in bulk.

[1238] Input: Selection and customization information

[1239] Output: Finalized travel plans and reservation information

[1240] Step 9:

[1241] The server sends the final plan and reservation information to the terminal and notifies the user. The server sends the final confirmed travel plan and reservation information to the terminal and notifies the user. The user receives all necessary information through the terminal.

[1242] Input: Finalized travel plans, reservation information

[1243] Output: Final plan and reservation information sent to the user's device

[1244] 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.

[1245] 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.

[1246] 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.

[1247] [Fourth embodiment]

[1248] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1249] 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.

[1250] 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).

[1251] 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.

[1252] 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.

[1253] 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).

[1254] 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.

[1255] 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.

[1256] 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.

[1257] 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.

[1258] 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.

[1259] 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.

[1260] 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."

[1261] This invention is a system for making users' travel planning more efficient. Specifically, the user inputs travel conditions such as destination, activities, schedule, and budget, and the server automatically generates an optimal travel plan based on these. The user can review and customize the plan, and the server makes all the necessary reservations. The details are described below.

[1262] Condition setting

[1263] First, the user accesses the travel plan proposal system using a device (smartphone, tablet, PC, etc.). The user inputs conditions such as the travel destination, how to spend time, schedule, and budget. For example, the user might set conditions such as "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen."

[1264] Plan Generation

[1265] The device sends the user-entered condition data to the server, which analyzes the condition data and generates multiple relevant travel plans from its accumulated database. This allows the server to create options such as "staying at a traditional inn and enjoying a full-course Japanese meal" or "staying at a modern hotel and touring local cuisine."

[1266] Choose and customize your plan

[1267] The device receives multiple travel plans from the server and displays them to the user in a visually easy-to-understand format. The user selects a plan using intuitive operations such as swiping and tapping, and then customizes it further. For example, the user selects "Plan A" and customizes it by extending the check-out time by one hour. This customization information is sent from the device to the server.

[1268] Finalize your plan and make a reservation

[1269] The server finalizes the travel plan based on the selections and customization information received from the user. The server makes all reservations for flights, accommodations, meals, activities, etc. in one place. It checks whether each reservation is completed successfully and handles any errors that may occur.

[1270] Completion notification

[1271] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed travel information (reservation number, dates, location, important notes, etc.) to the user. This allows the user to complete travel planning and reservations in one go.

[1272] Specific examples

[1273] For example, suppose a user wants to take a "family trip" to "Kyoto" during Golden Week in May 2023. When the user enters the conditions into the system, the server proposes the following plan.

[1274] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[1275] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[1276] The user selects Plan A and changes the check-out time from 11:00 to 12:00. This information is sent to the server, which then finalizes the plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is sent to the terminal, allowing the user to complete all procedures at once.

[1277] As described above, the present invention is a system that can improve the efficiency of users' travel planning and reduce stress.

[1278] The processing flow will be explained below.

[1279] Program processing steps

[1280] Step 1:

[1281] The user accesses the travel plan proposal system from their device, inputs conditions such as destination (e.g., Kyoto), how to spend the time (e.g., sightseeing), dates (e.g., three days from May 1st, 2023), and budget (e.g., 100,000 yen), and presses the send button.

[1282] Step 2:

[1283] The terminal converts the condition data entered by the user into JSON format and sends the converted data to the server as an HTTP request.

[1284] Step 3:

[1285] The server analyzes the received condition data, searches for relevant travel plans from its database based on the conditions, and generates multiple candidate plans and adds detailed information (such as accommodation, meals, and activities).

[1286] Step 4:

[1287] The server compiles the generated travel plan in JSON format and sends it to the terminal as a response. The terminal analyzes the received travel plan information and displays it to the user in a visually easy-to-understand format (e.g., list format, card format).

[1288] Step 5:

[1289] Users can swipe and tap to browse through multiple itineraries, select the one they like best, and customize it further, such as changing the departure time or upgrading accommodations.

[1290] Step 6:

[1291] The device converts the user's selections and customizations into JSON format, which it then sends to the server as an HTTP request.

[1292] Step 7:

[1293] The server analyzes the received selection and customization information, determines the final travel plan, and performs the necessary booking procedures based on this plan.

[1294] Step 8:

[1295] The server handles all bookings for flights, accommodation, meals, and activities in one place, checking whether the booking was completed successfully and handling any errors if there was a problem.

[1296] Step 9:

[1297] The server sends the finalized travel plan and reservation details to the terminal, which receives it and displays it to the user in a visually understandable format.

[1298] Step 10:

[1299] The user confirms the final plan and reservation information sent to them through the terminal, and all travel plans and reservations are now complete.

[1300] These are the specific program processing steps in the Travel Planner system, which allow users to efficiently and easily plan their trips and complete reservations.

[1301] Example 1

[1302] 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."

[1303] Conventional travel planning systems require users to use multiple websites and applications to gather information and make reservations, which requires a great deal of time and effort. Furthermore, customizing a travel plan requires additional searches and adjustments, making the overall process cumbersome. The objective of this invention is to solve these problems and provide a system that automatically generates multiple candidate plans, allowing users to efficiently select and reserve the optimal travel plan.

[1304] 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.

[1305] In this invention, the server includes a means for a user to input conditions such as travel destination, how to spend time, schedule, budget, etc., a means for transmitting the condition data to the server, and a means for the server to generate an optimal travel plan using a generative AI model based on the condition data and transmit the plan to the terminal. This allows the server to automatically generate multiple travel plans based on the user's requests, and the user can easily select a plan via the terminal and customize and book it all at once.

[1306] "User" means a person who uses the travel planning system to input travel requirements and select and customize the presented plan.

[1307] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[1308] The "server" is a device that analyzes the condition data received from the user, generates the optimal travel plan using a generative AI model, and sends it to the terminal.

[1309] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates multiple travel plans based on accumulated data.

[1310] A "terminal" is a device (e.g., a smartphone, tablet, PC, etc.) that a user uses to access the travel planning system and input travel conditions.

[1311] "Travel Plan" refers to a specific itinerary proposal based on the user's travel requirements, created by the server using a generative AI model.

[1312] "Customization" refers to the act of a user changing the details of a presented travel plan to tailor it to their own preferences.

[1313] "Reservation" refers to the process of securing various services such as flights, accommodation, meals, and activities all at once based on a travel plan confirmed by the server.

[1314] A "prompt" refers to a text instruction entered to specify a specific condition or request to a generative AI model.

[1315] This invention is a system that streamlines users' travel planning. In this system, users input travel conditions such as destination, activities, schedule, and budget, and based on this, a server automatically generates an optimal travel plan using a generative AI model. Travel plans can be customized by the user, and the server can make all the necessary reservations in one go.

[1316] Hardware and Software Configuration

[1317] 1. Terminal: A device operated by a user, such as a smartphone, tablet, or PC. The terminal accesses the server via a web browser or dedicated application.

[1318] 2. Server: A central processing unit that generates travel plans and handles reservations. The server is connected to a database and has a plan generation function that uses a generative AI model.

[1319] Main processing flow

[1320] 1. Enter the conditions:

[1321] The user uses the device to input travel conditions such as the destination, how to spend the time, schedule, budget, etc. For example, the destination can be set to "Kyoto," the way of spending the time to "sightseeing," the schedule to "three days from May 1st, 2023," and the budget to "100,000 yen."

[1322] 2. Data transmission:

[1323] The device sends the condition data entered by the user to the server. Specifically, it uses an HTTP request to send the condition data to the server's API endpoint.

[1324] 3. Plan Generation:

[1325] The server analyzes the received condition data and generates an optimal travel plan using a generative AI model, which references past plan information stored in a database to create multiple candidate plans.

[1326] 4. Submit and view plans:

[1327] The server sends the generated travel plan to the device, which analyzes it and displays it visually to the user. For example, Plan A might be "stay at a traditional inn and enjoy a full course of Japanese cuisine," while Plan B might be "stay at a modern hotel and enjoy a tour of local cuisine."

[1328] 5. Plan Selection and Customization:

[1329] The user selects the plan they like from the displayed options and then customizes it further. For example, the user selects Plan A and extends the checkout time by one hour. This information is sent from the terminal to the server.

[1330] 6. Finalize your plan and book:

[1331] The server determines the final travel plan based on the received customization information and makes all reservations for flights, accommodation, meals, activities, etc. It checks the reservation status and handles errors if any occur.

[1332] 7. Submitting and Displaying Reservation Information:

[1333] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed information about the trip (reservation number, dates, location, important notes, etc.) to the user.

[1334] Specific examples

[1335] A specific example is shown below: If a user wants to visit "Kyoto" on a "family trip" during Golden Week in May 2023, the user enters the conditions into the system.

[1336] Destination: Kyoto

[1337] How to spend the day: "Family trip"

[1338] Date: May 1st to 3rd, 2023

[1339] Budget: 100,000 yen

[1340] The server uses a generative AI model to propose the following plan:

[1341] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[1342] 2. Plan B: Stay in a modern hotel and try local cuisine.

[1343] The user selects Plan A and changes the check-out time from 11:00 to 12:00. This information is sent to the server, which then finalizes the plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, allowing the user to complete all procedures at once.

[1344] Prompt Sentence Examples

[1345] Below are some examples of prompts to input to the generative AI model.

[1346] text

[1347] Enter your travel criteria ("Destination: Kyoto," "Sightseeing," "Dates: 3 days from May 1st, 2023," and "Budget: 100,000 yen") to generate a travel plan that best suits your needs. The plan will include accommodation, meal, and activity options.

[1348] The present invention allows users to efficiently plan their trips, select the most suitable plan from a variety of options, and easily complete customization and reservations.

[1349] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1350] Step 1:

[1351] The user uses a device to input travel conditions such as destination, activities, schedule, and budget. This operation is performed through the device's user interface. For example, the user might input "Destination: Kyoto," "Activity: Family trip," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen." The input data is saved in the device as condition data in JSON format.

[1352] Step 2:

[1353] The device sends the entered condition data to the server using an HTTP request. Specifically, the condition data is sent to an API endpoint, and the server receives this data. The condition data is used as input, and a confirmation message is generated as output and sent to the server.

[1354] Step 3:

[1355] The server analyzes the received condition data and generates an optimal travel plan using a generative AI model. It accesses the database to extract accumulated plan information and creates multiple optimized travel plans based on the condition data. The condition data and plan information in the database are used as input, and the generated multiple travel plans are obtained as output.

[1356] Step 4:

[1357] The server converts the generated travel plan into JSON format and sends it to the terminal using an HTTP response. Specifically, the generated travel plan data is returned as an HTTP response. The input is the generated travel plan data, and the output is the data converted into a format that can be sent to the terminal.

[1358] Step 5:

[1359] The terminal analyzes the received travel plan data and visually displays it to the user through a user interface. The user can check each plan. For example, Plan A might be "staying at a traditional inn and enjoying a full course of Japanese cuisine," while Plan B might be "staying at a modern hotel and touring local cuisine." The travel plan data received from the server is used as input, and a visual plan display is obtained as output.

[1360] Step 6:

[1361] The user selects the plan they like from the displayed ones and performs detailed customization. For example, the user selects Plan A and extends the checkout time by one hour. This information is entered through the device's user interface and saved in the device as customization data in JSON format. The inputs are the user's selection and customization details, and the output is customization data.

[1362] Step 7:

[1363] The device sends user customization information to the server using an HTTP request. Specifically, the customization data is sent to an API endpoint and received by the server. The customization data is used as input to generate a confirmation message that is sent to the server as output.

[1364] Step 8:

[1365] The server determines the final travel plan based on the received customization information. The server uses a booking API to book flights, accommodation, meals, and activities all at once. The inputs are the customization data and the booking API, and the output is the final plan and the status of each booking.

[1366] Step 9:

[1367] The server sends the final travel plan and reservation information in JSON format to the terminal, which parses it and notifies the user. Specifically, the terminal visually displays the final travel plan, reservation number, dates, location, and important notes. The input is the final plan and reservation information sent from the server, and the output is notification data for the user.

[1368] (Application example 1)

[1369] 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."

[1370] In conventional travel planning systems, users have to spend a lot of time and effort to find and customize travel plans that meet their requirements, and it is difficult to make bulk reservations. Therefore, there is a need for a system that can significantly reduce the user's effort and enable efficient and intuitive travel plan creation and booking.

[1371] 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.

[1372] In this invention, the server includes: means for a user to input conditions such as travel destination, activities, itinerary, and budget; means for transmitting the condition data to the server; means for the server to generate an optimal travel plan based on the condition data and transmit it to the terminal; means for the user to select and customize the travel plan presented via the terminal; means for transmitting the selection and customization information to the server; means for the server to finalize the travel plan and make reservations for transportation, accommodations, restaurants, and activities all at once; means for transmitting the final plan and reservation information to the terminal and notifying the user; means for generating and customizing the travel plan using a generative AI model; and means for the server to generate prompts required for generating the travel plan and process them together with the condition data. This allows users to efficiently and intuitively create, customize, and book travel plans all at once.

[1373] A "user" is an individual or organization that uses the travel planning system.

[1374] "Travel destination" is information indicating a destination that the user wants to visit.

[1375] "How to spend your time" is information that refers to the activities and style of spending time at your travel destination.

[1376] "Schedule" is information indicating the start and end dates or duration of a trip.

[1377] "Budget" is information indicating the upper limit of expenses that can be spent on a trip.

[1378] "Condition data" is a collection of information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[1379] A "server" is a remote computer system that receives user-submitted request data, creates and customizes travel plans, and collectively processes reservations.

[1380] A "terminal" is a device (smartphone, tablet, PC, etc.) that a user uses to access and operate the travel planning system.

[1381] "Transportation" is the means of travel used for travel (e.g., plane, train, bus, etc.).

[1382] "Accommodation" refers to a facility where a user can stay while traveling (e.g., a hotel, inn, business hotel, etc.).

[1383] A "restaurant" is a place where a user can eat while traveling.

[1384] "Activities" are events and programs that include sightseeing and experiential activities at travel destinations.

[1385] A "generative AI model" is a machine learning model used to automatically generate optimal travel plans based on the conditions entered by the user.

[1386] A "prompt sentence" is an input sentence used by the generative AI model when generating a travel plan, and is a sentence created based on condition data.

[1387] This invention is a system that allows a server to generate and customize an optimal travel plan based on user input conditions such as travel destination, activities, schedule, and budget. This system uses a generative AI model to automatically generate highly accurate travel plans, and also generates the necessary prompt sentences and processes them together with the condition data.

[1388] Specific example program explanation

[1389] Hardware usage example

[1390] Server: High-performance computer, cloud server (e.g., Amazon Web Services, Google Cloud Platform)

[1391] Devices: Smartphones, tablets, PCs

[1392] Software usage examples

[1393] Programming language: Python

[1394] Data format: JSON

[1395] Machine learning models: Generative AI models (e.g., GPT-3)

[1396] Database: SQL, NoSQL (e.g. MySQL, MongoDB)

[1397] What the program does

[1398] 1. User condition input

[1399] Users access the system from their smartphone or PC and enter travel information such as destination, how they will spend their time, schedule, and budget.

[1400] 2. Sending condition data to the server

[1401] The entered condition data is sent to the server via the network, where it is analyzed and prepared for appropriate processing.

[1402] 3. Plan generation using generative AI models

[1403] The server automatically generates an optimal travel plan using a generative AI model based on the condition data, and generates prompt sentences and inputs them into the AI ​​model.

[1404] Example prompt sentence:

[1405] The travel destination is Kyoto, the plan is sightseeing, the dates are 3 days from May 1st to 2023, and the budget is 100,000 yen. Based on these conditions, generate the optimal travel plan.

[1406] 4. Presenting your travel plans

[1407] The server sends the generated itineraries to the device, where the user can visually check them and intuitively operate them by swiping and tapping.

[1408] 5. Customize your plan

[1409] The user selects a plan from the list and customizes it as needed (e.g., changing the check-out time). This customization information is then sent back to the server.

[1410] 6. Finalize the plan and make a reservation

[1411] The server finalizes the itinerary based on the customized information, allowing you to book transportation, accommodation, restaurants, and activities all in one place.

[1412] 7. Completion notification

[1413] The server sends the final plan and reservation information to the terminal and notifies the user of completion. The user can then check all travel details (reservation number, dates, location, notes, etc.) on the terminal.

[1414] Specific examples

[1415] For example, if a user wants to visit Kyoto on a "family trip" during Golden Week in May 2023, the process will be as follows:

[1416] 1. Input example: Destination: Kyoto, How to spend time: Sightseeing, Dates: 3 days from May 1st, 2023, Budget: 100,000 yen

[1417] 2. Generated prompt:

[1418] The travel destination is Kyoto, the plan is sightseeing, the dates are 3 days from May 1st to 2023, and the budget is 100,000 yen. Based on these conditions, generate the optimal travel plan.

[1419] 3. Examples of proposed plans:

[1420] Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal

[1421] Plan B: Stay in a modern hotel and try local cuisine

[1422] The user selects Plan A and changes the check-out time from 11:00 to 12:00. Based on this, the server determines the final plan and makes all reservations at once.

[1423] The present invention aims to enable users to create travel plans and make reservations efficiently and intuitively, thereby significantly reducing the amount of work required by users.

[1424] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1425] Step 1: The user enters travel destination, travel plans, dates, budget, and other conditions into the device.

[1426] Input: User's travel conditions data (e.g., destination, how to spend time, schedule, budget)

[1427] Output: Travel condition data entered into the terminal

[1428] Specific operation: The user enters travel conditions such as destination, activities, schedule, budget, etc. into the input form on the device. Once the input is complete, the device converts this condition data into a structured data format.

[1429] Step 2: The terminal transmits the condition data to the server.

[1430] Input: Travel conditions data entered into the terminal

[1431] Output: Travel condition data sent to the server

[1432] Specific operation: The device sends the condition data entered by the user to the server via the network. The data is sent to the server in JSON format.

[1433] Step 3: The server inputs the condition data into the generated AI model and generates the optimal travel plan.

[1434] Input: Travel condition data sent to the server

[1435] Output: Multiple generated itineraries

[1436] Specific operation: The server receives the condition data and generates a prompt sentence based on it. The generated prompt sentence is input into a generative AI model (e.g., GPT-3) to generate an optimal travel plan. Multiple candidate plans are generated and stored on the server in structured data format.

[1437] Step 4: The server transmits the generated itineraries to the terminal.

[1438] Input: Generated itineraries

[1439] Output: Multiple itineraries sent to the device

[1440] Specific operation: The server sends the generated itineraries to the device as JSON data, which the user can visually check on the device screen.

[1441] Step 5: The user selects and customizes the proposed itinerary.

[1442] Input: Multiple proposed travel plans

[1443] Output: Selected itinerary and customization information

[1444] Specific operation: The user checks the presented travel plans on the device screen and makes selections by swiping or tapping. After making a selection, the user enters any items that require customization (e.g., changing the check-out time). This data is saved on the device.

[1445] Step 6: The terminal sends the selected travel plan and customization information to the server.

[1446] Input: Selected travel plan and customization information

[1447] Output: Selections and customizations sent to the server

[1448] Specific operation: The terminal sends the travel plan selected and customized by the user and its details to the server via the network.

[1449] Step 7: The server finalizes the travel plans and makes the bookings in bulk.

[1450] Input: Selections and customization information sent to the server

[1451] Output: Final confirmed travel plans and booking information

[1452] Specific operations: The server finalizes the travel plan based on the user's selections and customized information. Based on the finalized plan, it makes a bulk reservation for transportation, accommodation, restaurants, and activities. The reservation information is generated and saved on the server.

[1453] Step 8: The server sends the final plan and reservation information to the terminal and notifies the user.

[1454] Input: Final confirmed travel plans and booking information

[1455] Output: Final itinerary and booking information sent to the device

[1456] Specific operation: The server sends the final travel plan and reservation information to the terminal and notifies the user. The user can then check all the trip details (reservation number, dates, location, notes, etc.) on the terminal.

[1457] 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.

[1458] This invention is a system that streamlines user travel planning and proposes optimal travel plans that take the user's emotions into consideration. Specifically, the user inputs travel conditions such as destination, activities, schedule, and budget, and the server automatically generates the optimal travel plan based on these. Furthermore, an emotion engine that recognizes emotions from the user's facial expressions and voice is incorporated, making it possible to propose and customize plans that reflect the user's emotions.

[1459] Condition setting

[1460] First, the user accesses the travel plan proposal system using a device (smartphone, tablet, PC, etc.). The user inputs conditions such as the travel destination, how to spend time, schedule, and budget. For example, the user might set conditions such as "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen."

[1461] Plan Generation and Emotion Recognition

[1462] The device sends the user-entered condition data to the server. The server analyzes this condition data and generates multiple relevant travel plans from its accumulated database. At the same time, the device analyzes the user's facial expressions and voice through its built-in camera and microphone, and an emotion engine evaluates the user's emotions. The emotion engine recognizes the user's emotional state (joy, surprise, stress, etc.).

[1463] Adjusting your plan based on emotions

[1464] The server evaluates the generated travel plans based on the user's emotional data obtained from the emotion engine. For example, it will prioritize relaxing plans for a stressed user, and suggest plans including active activities to an excited user.

[1465] Choose and customize your plan

[1466] The device displays the adjusted travel plans received from the server in a visually easy-to-understand format to the user. The user can select a plan by swiping or tapping, and then perform further customization operations. For example, the user can select "Plan A" and customize it by extending the check-out time by one hour. This customization information is sent from the device to the server.

[1467] Finalize your plan and make a reservation

[1468] The server finalizes the travel plan based on the selections and customization information received from the user. The server makes all reservations for flights, accommodations, meals, activities, etc. It verifies that all necessary reservations have been completed successfully and handles any errors if there are any issues.

[1469] Completion notification

[1470] The final travel plan and reservation information is sent from the server to the terminal and notified to the user. The terminal analyzes the received information and displays detailed travel information (reservation number, dates, location, important notes, etc.) to the user. This allows the user to complete travel planning and reservations in one go.

[1471] Specific examples

[1472] For example, suppose a user wants to take a "family trip" to "Kyoto" during Golden Week in May 2023. When the user enters the conditions into the system, the server proposes the following plan.

[1473] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[1474] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[1475] The user selects Plan A and extends the check-out time by one hour. During this time, the emotion engine analyzes the user's facial expressions and voice and recognizes, for example, that the user is relaxed. This information is sent to the server, which then determines the optimized final plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, allowing the user to complete all procedures at once.

[1476] As described above, the present invention is a system that can improve the efficiency of a user's trip planning and provide an optimal trip plan that takes into account the user's emotional state.

[1477] The processing flow will be explained below.

[1478] Program processing steps

[1479] Step 1:

[1480] The user accesses the travel plan proposal system from their device, inputs conditions such as destination (e.g., Kyoto), how to spend the time (e.g., sightseeing), dates (e.g., three days from May 1st, 2023), and budget (e.g., 100,000 yen), and presses the send button.

[1481] Step 2:

[1482] The terminal converts the condition data entered by the user into JSON format and sends the converted data to the server as an HTTP request.

[1483] Step 3:

[1484] The device's built-in camera and microphone are activated to capture the user's facial expressions and voice in real time, and the emotion engine analyzes this data to evaluate the user's emotional state.

[1485] Step 4:

[1486] The server analyzes the received condition data, searches for relevant travel plans from its database based on the conditions, and generates multiple candidate plans and adds detailed information (such as accommodation, meals, and activities).

[1487] Step 5:

[1488] The emotion engine's analysis results are sent to the server, which then prioritizes the generated travel plans based on the user's emotional state. For example, if the user is feeling stressed, it will prioritize relaxing plans.

[1489] Step 6:

[1490] The server compiles the adjusted travel plan in JSON format and sends it to the device. The device parses the received travel plan information and displays it to the user in a visually easy-to-understand format (e.g., list format, card format).

[1491] Step 7:

[1492] Users can swipe and tap to browse through multiple itineraries, select the one they like best, and customize it further, such as changing the departure time or upgrading accommodations.

[1493] Step 8:

[1494] The device converts the user's selections and customizations into JSON format, which it then sends to the server as an HTTP request.

[1495] Step 9:

[1496] The server analyzes the received selection and customization information, determines the final travel plan, and performs the necessary booking procedures based on this plan.

[1497] Step 10:

[1498] The server handles all bookings for flights, accommodation, meals, and activities in one place, checking whether the booking was completed successfully and handling any errors if there was a problem.

[1499] Step 11:

[1500] The server sends the finalized travel plan and reservation details to the terminal, which receives it and displays it to the user in a visually understandable format.

[1501] Step 12:

[1502] The user confirms the final plan and reservation information sent to them through the terminal, and all travel plans and reservations are now complete.

[1503] These are the specific program processing steps for the Travel Planner system that combines the emotion engine. This allows users to efficiently and easily plan their trips and complete reservations. Furthermore, the system proposes plans that take the user's emotional state into consideration, resulting in a more satisfying trip.

[1504] Example 2

[1505] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1506] Conventional travel planning systems generate travel plans without considering the user's emotional state, making it impossible to provide optimal plans for different emotional states, such as when the user wants to relax or get excited. Furthermore, the system lacked the ability to automatically evaluate multiple travel plans and adjust them based on the user's emotions, which could result in lower user satisfaction. This made it difficult for users to efficiently select and book plans that were more relaxing or more exciting.

[1507] 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.

[1508] In this invention, the server includes a means for the user to input travel conditions such as travel destination, how to spend time, schedule, budget, etc., a means for analyzing the user's facial expressions and voice to recognize the user's emotional state, and a means for evaluating and adjusting the travel plan based on the recognized emotional data. This makes it possible to provide the user with an optimal travel plan for different emotional states, such as when they want to relax or when they want to get excited.

[1509] "User" means an individual who accesses the system and enters, selects, and customizes travel plans.

[1510] "Terminal" refers to a device used by a user to access the system, such as a smartphone, tablet, or PC.

[1511] "Server" refers to the central processing unit that analyzes data received from users, generates, evaluates and adjusts travel plans, and handles reservations and notifications.

[1512] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[1513] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and voice through the device's camera and microphone, and recognizes their emotional state.

[1514] "Travel plan" refers to a plan generated by the server that includes the user's travel destination, itinerary, budget, activities, etc.

[1515] "Customization" refers to changes or adjustments that a user makes to a presented travel plan.

[1516] "Final Plan" refers to the travel plan that is finalized after the user has made selections and customizations.

[1517] "Reservation" refers to the process by which the server reserves transportation, accommodation, meals, activities, etc. in advance.

[1518] "Notification" refers to the means by which the server notifies the user of the final plan and reservation information.

[1519] The present invention provides a system for improving the efficiency of a user's travel planning and proposing an optimal travel plan that takes into consideration the user's emotions. Detailed embodiments of the present invention will be described below.

[1520] Hardware and software used

[1521] Devices: devices such as smartphones, tablets, and PCs

[1522] Server: Central Processing Unit

[1523] Emotion engine: Software that uses the device's camera and microphone to analyze facial expressions and voice.

[1524] What the program does

[1525] Users access the system using a terminal. They input travel conditions such as destination, activities, schedule, and budget, and send them to the terminal. The terminal then sends this condition data to the server.

[1526] The server analyzes the received request data and generates multiple corresponding travel plans from the database. At the same time, the device analyzes the user's facial expressions and voice, and the emotion engine recognizes the user's emotional state.

[1527] For example, if a user inputs "Destination: Kyoto," "Sightseeing," "Dates: 3 days from May 1st, 2023," and "Budget: 100,000 yen," the server will generate a plan to "stay at a traditional inn and enjoy a full course of Japanese cuisine" or "stay at a modern hotel and tour local cuisine." During this time, the emotion engine will analyze the user's smile and voice to recognize when the user is relaxed.

[1528] The server evaluates and adjusts the generated travel plan based on the emotional data. For example, if the user is relaxed, it will prioritize and suggest a more relaxing plan. On the other hand, if the user is excited, it will recommend a plan that includes more active activities.

[1529] The terminal presents the user with multiple adjusted travel plans in a visually easy-to-understand format. The user selects one of the displayed plans and customizes it further. For example, the user selects "Plan A" and customizes it by extending the check-out time by one hour. This customization information is then sent back to the server from the terminal.

[1530] The server finalizes the travel plan and makes all reservations for flights, accommodations, meals, activities, etc. If all reservations are completed successfully, the server sends the final plan and reservation information to the terminal, which notifies the user and displays detailed information about the trip.

[1531] Specific examples

[1532] If a user wants to visit Kyoto on a "family trip" during Golden Week in May 2023, the user inputs the conditions into the system. The server then proposes the following plan:

[1533] 1. Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal.

[1534] 2. Plan B: Stay in a modern hotel and explore the local cuisine.

[1535] The user selects "Plan A" and extends the check-out time by another hour. During this time, the emotion engine recognizes that the user is relaxed and sends this information to the server. The server then determines the optimized final plan and completes the reservation, including the flight and accommodation, all at once. The reservation information is then sent to the terminal, and the user completes all procedures at once.

[1536] Prompt Sentence Examples

[1537] "Please suggest the best travel plan based on the following criteria: Destination: Kyoto, Activities: Sightseeing, Dates: 3 days from May 1st, 2023, Budget: 100,000 yen. Also, please adjust the plan taking into account the user's emotional state."

[1538] This system will improve the efficiency of users' travel planning and provide optimal travel plans that take into account the user's emotional state.

[1539] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1540] Step 1:

[1541] The user accesses the system using a terminal and inputs travel conditions such as destination, how to spend time, schedule, budget, etc. Specifically, the user enters "Destination: Kyoto," "How to spend time: Sightseeing," "Schedule: 3 days from May 1st, 2023," and "Budget: 100,000 yen" into the input form on the terminal.

[1542] Input: User's travel conditions (destination, how to spend time, schedule, budget)

[1543] Output: Conditional data packet

[1544] Specific operation: When the user completes input and taps the "Send" button, the device assembles the input condition data into a data packet.

[1545] Step 2:

[1546] The terminal sends the condition data entered by the user to the server, where it formats the data and performs appropriate encoding before sending it.

[1547] Input: Conditional data packet

[1548] Output: Condition data sent to the server

[1549] Specific operation: The device encodes the condition data into an appropriate format, such as JSON, and sends it to the server over the network.

[1550] Step 3:

[1551] The server analyzes the received condition data and generates multiple corresponding travel plans from the database.

[1552] Input: Received condition data packet

[1553] Output: Multiple itineraries

[1554] What happens: The server parses the condition data and executes a database query to generate potential travel plans, such as "Plan A: Stay at a traditional inn and enjoy a full-course Japanese meal" and "Plan B: Stay at a modern hotel and sample local cuisine."

[1555] Step 4:

[1556] The device uses a camera and microphone to analyze the user's facial expressions and voice in real time, and an emotion engine evaluates the user's emotional state.

[1557] Input: User's facial expression data, voice data

[1558] Output: User's emotion data (happiness, surprise, stress, etc.)

[1559] How it works: The device's camera captures the user's face and microphone records their voice. The emotion engine analyzes this to evaluate their emotional state and output it as data.

[1560] Step 5:

[1561] The server evaluates and adjusts the travel plans it generates based on emotion data. For example, it prioritizes relaxing plans for users who are feeling stressed.

[1562] Input: Generated travel plan, user emotion data

[1563] Output: Adjusted itinerary

[1564] How it works: The server uses emotion data to evaluate and rank travel plan candidates and select the most suitable one. For example, if a user wants to relax, it will prioritize plans that include hot springs and massages.

[1565] Step 6:

[1566] The device displays multiple tailored itineraries to the user in a visually easy-to-understand format, allowing the user to select an itinerary with a swipe or tap and then perform detailed customization operations.

[1567] Input: Adjusted travel plan

[1568] Output: User selected and customized plan

[1569] Specific operation: The terminal displays a list of plans, the user selects "Plan A," and customizes the plan, such as extending the check-out time by one hour.

[1570] Step 7:

[1571] The server finalizes the travel plan based on the selections and customization information received from the user, and makes all reservations for transportation, accommodation, meals, activities, etc.

[1572] Input: User selections and customization information

[1573] Output: Final confirmed plan and reservation information

[1574] Specific operation: The server connects to the reservation system, checks the availability of flights and accommodations, and completes the reservation.

[1575] Step 8:

[1576] The server sends the final plan and reservation information to the terminal and notifies the user, and the terminal analyzes the received information and displays the trip details to the user.

[1577] Input: Final confirmed plan and reservation information

[1578] Output: Notify user, display trip details

[1579] What happens: The device displays a notification and provides the user with trip details (reservation number, dates, location, precautions, etc.).

[1580] The above are the specific processing steps of the program of this system.

[1581] (Application example 2)

[1582] 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."

[1583] Conventional travel planning systems have difficulty providing users with travel plans that take into account their emotional state and current mental state. For example, if a user is feeling stressed, a relaxing travel plan is desirable, but there is no way to automatically suggest such a plan. Furthermore, even if a user expresses an emotional reaction to a proposed plan, this is not reflected in the system, making it difficult to increase user satisfaction. Therefore, providing optimal travel plans that take into account the user's emotions is a challenge.

[1584] 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.

[1585] In this invention, the server includes: means for a user to input travel conditions such as travel destination, how to spend time, schedule, and budget; means for transmitting the condition data to the server; means for a terminal to analyze the user's facial expressions and voice and evaluate the user's emotional state using an emotion recognition engine; means for evaluating and adjusting the travel plan generated by the server based on the user's emotional state obtained from the emotion recognition engine; means for the user to select and customize the travel plan presented via the terminal; means for transmitting the selection and customization information to the server; means for the server to finalize the travel plan and make reservations in one go, including reservations for accommodations and selection of dining locations; and means for transmitting the final plan and reservation information to the terminal and notifying the user. This makes it possible to provide an optimal travel plan that takes the user's emotional state into consideration.

[1586] "User" refers to an individual person who uses the travel planning system.

[1587] A "travel destination" refers to a particular place or region that a user wants to visit.

[1588] "How to spend time" refers to the activities that the user will do during the trip, such as sightseeing, vacation, etc.

[1589] "Dates" refers to the period of time including the start and end dates of the trip.

[1590] "Budget" refers to the amount of money a user plans to spend on a trip.

[1591] "Condition data" refers to information entered by the user, such as the travel destination, how to spend the time, itinerary, budget, etc.

[1592] "Server" refers to a computer system that processes information received from users and generates optimal travel plans.

[1593] "Terminal" refers to a device such as a smartphone, tablet, or PC that a user uses to access the travel planning system.

[1594] "Facial expressions" refer to facial movements and expressions that express the user's emotional state.

[1595] "Voice" refers to the voice quality and speech characteristics used to analyze the user's emotional state.

[1596] An "emotion recognition engine" refers to software or a system that analyzes a user's facial expressions and voice to assess their emotional state.

[1597] "Emotional state" refers to the emotion the user is currently feeling, such as joy, surprise, stress, etc.

[1598] "Travel plan" refers to an itinerary generated based on the user's condition data and emotional state.

[1599] "Adjustment" refers to optimizing the travel plan based on the user's emotional state obtained from the emotion recognition engine.

[1600] "Customization" refers to changes a user makes to a proposed travel plan to reflect their specific wants and desires.

[1601] "Accommodation" refers to a place where a user stays during a trip, such as a hotel or inn.

[1602] "Reservation" refers to the process of securing various services required for a travel plan in advance.

[1603] "Notification" refers to the act of informing the user of final travel plans and booking information.

[1604] This invention is a system for suggesting optimal travel plans that take into account a user's emotional state when the user inputs travel conditions such as destination, activities, schedule, and budget. This system is realized using the following means.

[1605] First, the user accesses a travel planning app using a device such as a smartphone, tablet, or PC and enters travel destination, how to spend the day, dates, budget, and other conditions.

[1606] The device then sends the entered conditions to the server, which generates an optimal travel plan based on these conditions. The device also uses its built-in camera and microphone to collect the user's facial expressions and voice, and evaluates the user's emotional state using an emotion recognition engine. This engine uses, for example, Microsoft Azure Cognitive Services or Affectiva.

[1607] The server evaluates the generated itinerary based on the user's emotional state obtained from the emotion recognition engine and makes adjustments as necessary. Based on the emotional state, multiple optimal candidate itineraries are also generated. The server then obtains details of the actual itinerary using the Google Places API. It also uses a generative AI model (e.g., OpenAI GPT-4) to select and suggest specific itineraries that take the user's emotional state into account.

[1608] To give a specific example, a user enters "I would like to tour Kyoto for three days starting from May 1, 2023" and sets the budget to 100,000 yen. If the device analyzes the user's emotional state as "relaxed," the server will generate and present the following plan, for example:

[1609] Plan A: Stay at a traditional ryokan and enjoy a full-course Japanese meal, including a relaxing hot spring bath.

[1610] Plan B: Stay in a modern hotel and explore local cuisine with easy access to tourist attractions.

[1611] The user selects the plan they want from the ones presented and customizes it. For example, when selecting Plan A, they can extend the check-out time by one hour. The customization information is sent from the terminal to the server.

[1612] Finally, the server determines the final travel plan based on the user's selection and customization information. This plan includes reservations for accommodations and restaurants. The server makes all of these reservations in one go, and sends the final plan and reservation information to the terminal to notify the user.

[1613] In this system, for example, by inputting the following prompt sentence into the generative AI model, it is possible to propose a detailed plan based on the user's emotions.

[1614] "If the user's emotional state is relaxed, what is the best travel plan? Suggestions target Plan A and Plan B."

[1615] This allows the system to provide an optimal travel plan that meets the user's requirements while taking into consideration the user's emotional state.

[1616] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1617] Step 1:

[1618] The user inputs the conditions into the terminal, including details of the trip, such as the destination, how to spend the time, the schedule, and the budget. This becomes the condition data, which is sent to the server in the next step.

[1619] Input: Travel destination, how to spend time, dates, budget

[1620] Output: Condition data

[1621] Step 2:

[1622] The terminal transmits the condition data to the server. The terminal transmits the condition data entered by the user to the server, and data processing begins.

[1623] Input: Condition data

[1624] Output: Condition data sent to the server

[1625] Step 3:

[1626] The device analyzes the user's facial expressions and voice. It collects the user's facial expressions and voice through the device's camera and microphone, and evaluates the user's emotional state using an emotion recognition engine.

[1627] Input: User's facial expression, user's voice

[1628] Output: Emotional state data

[1629] Step 4:

[1630] The server generates an optimal travel plan based on the condition data and emotional state data. The server uses databases such as Google Places API to generate multiple travel plans that match the conditions. Furthermore, each plan is evaluated and optimized based on the emotional state data obtained from the emotion recognition engine.

[1631] Input: Condition data, emotional state data

[1632] Output: Multiple optimized itineraries

[1633] Step 5:

[1634] The server sends the optimal travel plan to the terminal, and then sends multiple travel plans generated by the server to the terminal and presents them to the user.

[1635] Input: Multiple optimized itineraries

[1636] Output: The itinerary sent to the user's device

[1637] Step 6:

[1638] The user selects and customizes the proposed itinerary. The user selects the desired itinerary from the itinerary displayed on the terminal screen and makes specific changes as needed (e.g., extending the check-out time).

[1639] Input: Multiple optimized itineraries

[1640] Output: Selection and customization information

[1641] Step 7:

[1642] The terminal transmits the selection and customization information to the server. The user transmits the selected plan and the customized information to the server, and the final plan is confirmed.

[1643] Input: Selection and customization information

[1644] Output: Selection and customization information sent to the server

[1645] Step 8:

[1646] The server determines the final travel plan and makes reservations in bulk. The server determines the final travel plan based on the received information and makes reservations for accommodations, dining, etc. in bulk.

[1647] Input: Selection and customization information

[1648] Output: Finalized travel plans and reservation information

[1649] Step 9:

[1650] The server sends the final plan and reservation information to the terminal and notifies the user. The server sends the final confirmed travel plan and reservation information to the terminal and notifies the user. The user receives all necessary information through the terminal.

[1651] Input: Finalized travel plans, reservation information

[1652] Output: Final plan and reservation information sent to the user's device

[1653] 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.

[1654] 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.

[1655] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1656] 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.

[1657] 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.

[1658] 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.

[1659] 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).

[1660] 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.

[1661] 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."

[1662] 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.

[1663] 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).

[1664] 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.

[1665] 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.

[1666] 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.

[1667] 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.

[1668] 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.

[1669] 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.

[1670] 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.

[1671] 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.

[1672] 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.

[1673] 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.

[1674] The following is further disclosed regarding the above embodiment.

[1675] (Claim 1)

[1676] A means for users to input travel conditions such as destination, how to spend time, schedule, and budget;

[1677] means for transmitting the condition data to a server;

[1678] A server generates an optimal travel plan based on the condition data and transmits the plan to the terminal;

[1679] means for a user to select and customize a travel plan presented via said terminal;

[1680] means for transmitting said selection and customization information to a server;

[1681] The server finalizes the travel plan and allows you to make all your reservations for flights, accommodation, meals, and activities in one place.

[1682] means for transmitting the final plan and reservation information to a terminal and notifying the user;

[1683] A system including:

[1684] (Claim 2)

[1685] 10. The system according to claim 1, further comprising means for presenting a plurality of candidate plans when the server generates the travel plan.

[1686] (Claim 3)

[1687] 2. The system according to claim 1, further comprising means for allowing a user to change departure time, accommodation type, and meal type when customizing.

[1688] "Example 1"

[1689] (Claim 1)

[1690] A means for users to input travel conditions such as destination, how to spend time, schedule, and budget;

[1691] means for transmitting the condition data to a server;

[1692] A means for the server to generate an optimal travel plan using a generation AI model based on the condition data and transmit the plan to the terminal;

[1693] means for a user to select and customize a travel plan presented via said terminal;

[1694] means for transmitting said selection and customization information to a server;

[1695] The server finalizes the travel plan and allows you to make all your reservations for flights, accommodation, meals, and activities in one place.

[1696] means for transmitting the final plan and reservation information to a terminal and notifying the user;

[1697] A system including:

[1698] (Claim 2)

[1699] 2. The system according to claim 1, further comprising means for presenting a plurality of candidate plans based on a prompt sentence when the server generates the travel plan.

[1700] (Claim 3)

[1701] 2. The system according to claim 1, further comprising means for allowing a user to change departure time, accommodation type, and meal type when customizing.

[1702] "Application Example 1"

[1703] (Claim 1)

[1704] A means for users to input travel conditions such as destination, how to spend time, schedule, and budget;

[1705] means for transmitting the condition data to a server;

[1706] A server generates an optimal travel plan based on the condition data and transmits the plan to the terminal;

[1707] means for a user to select and customize a travel plan presented via said terminal;

[1708] means for transmitting said selection and customization information to a server;

[1709] The server finalizes the travel plan and makes reservations for transportation, accommodation, restaurants, and activities all in one place.

[1710] means for transmitting the final plan and reservation information to a terminal and notifying the user;

[1711] a means for generating and customizing a travel plan using a generative AI model;

[1712] a means for generating a prompt sentence required for generating a travel plan in a server and processing the prompt sentence together with condition data;

[1713] A system including:

[1714] (Claim 2)

[1715] 10. The system according to claim 1, further comprising means for presenting a plurality of candidate plans when the server generates the travel plan.

[1716] (Claim 3)

[1717] The system according to claim 1, further comprising means for changing departure time, accommodation type, and type of food and drink when the user customizes the system.

[1718] "Example 2: Combining Emotion Engines"

[1719] (Claim 1)

[1720] A means for users to input travel conditions such as destination, how to spend time, schedule, and budget;

[1721] means for transmitting the condition data to a server;

[1722] A server generates an optimal travel plan based on the condition data and transmits the plan to the terminal;

[1723] a means for the terminal to analyze the user's facial expressions and voice and recognize the user's emotional state;

[1724] means for the server to evaluate and adjust the travel plan based on the user's emotion data;

[1725] means for a user to select and customize a travel plan presented via said terminal;

[1726] means for transmitting said selection and customization information to a server;

[1727] The server finalizes the itinerary and provides a centralized means for booking transportation, accommodation, meals, and activities.

[1728] means for transmitting the final plan and reservation information to a terminal and notifying the user;

[1729] A system including:

[1730] (Claim 2)

[1731] 10. The system according to claim 1, further comprising means for presenting a plurality of candidate plans when the server generates the travel plan.

[1732] (Claim 3)

[1733] 2. The system according to claim 1, further comprising means for allowing a user to change departure time, accommodation type, and meal type when customizing.

[1734] "Application example 2 when combining emotion engines"

[1735] (Claim 1)

[1736] A means for users to input travel conditions such as destination, how to spend time, schedule, and budget;

[1737] means for transmitting the condition data to a server;

[1738] A server generates an optimal travel plan based on the condition data and transmits the plan to the terminal;

[1739] a means for the device to analyze the user's facial expressions and voice and evaluate the user's emotional state using an emotion recognition engine;

[1740] means for evaluating and adjusting the travel plan generated by the server based on the emotional state of the user obtained from the emotion recognition engine;

[1741] means for a user to select and customize a travel plan presented via said terminal;

[1742] means for transmitting said selection and customization information to a server;

[1743] A means for the server to finalize the travel plan and make reservations in one go, including booking accommodations and selecting dining locations;

[1744] means for transmitting the final plan and reservation information to a terminal and notifying the user;

[1745] A system including:

[1746] (Claim 2)

[1747] 2. The system according to claim 1, further comprising means for the server, when generating a travel plan, taking into consideration the emotional state of the user using an emotion recognition engine and presenting a plurality of candidate plans.

[1748] (Claim 3)

[1749] The system according to claim 1, further comprising means for allowing a user to change the departure time, type of accommodation, and type of meal when customizing the system. [Explanation of symbols]

[1750] 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 users to input travel conditions such as destination, how to spend time, schedule, and budget; means for transmitting the condition data to a server; A server generates an optimal travel plan based on the condition data and transmits the plan to the terminal; means for a user to select and customize a travel plan presented via said terminal; means for transmitting said selection and customization information to a server; The server finalizes the travel plan and allows you to make all your reservations for flights, accommodation, meals, and activities in one place. means for transmitting the final plan and reservation information to a terminal and notifying the user; A system including:

2. 2. The system according to claim 1, further comprising means for presenting a plurality of candidate plans when the server generates the travel plan.

3. 2. The system according to claim 1, further comprising means for allowing a user to change departure time, accommodation type, and meal type when customizing the system.

Images