System

Abstract

A system is provided.SOLUTION: Means for inputting a travel request through an interface, means for receiving and analyzing the input travel request data, means for searching for a travel plan based on the analyzed request, means for evaluating the searched travel plan and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for performing cooperation with a local guide based on the travel plan selected by a user, means for matching a schedule with the local guide through the cooperation, and means for determining a final travel plan and notifying the user terminal of the final travel plan. Means for notifying a local guide of the finalized trip plan.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] Modern travelers face many challenges when planning trips and arranging local activities. In particular, language barriers and a lack of local information make it difficult to access desired tourist destinations and activities. To address these issues, a system is needed that allows users to smoothly plan trips according to their needs and ensures connection with Japanese-speaking guides on-site. [Means for solving the problem]

[0005] The present invention solves the above problems by using the following means. First, a means is provided for the user to input travel requests through an interface. Next, a server is provided with means for receiving and analyzing the input travel request data, and a means for searching for travel plans based on the analyzed requests. The server is also provided with means for evaluating the searched travel plans and selecting an appropriate plan. The selected travel plan is presented to the user's terminal. Furthermore, a means is provided for coordinating with a local guide based on the travel plan selected by the user, and a means for matching a schedule with the local guide. Finally, the system includes a means for notifying the user's terminal of the confirmed travel plan and for notifying the local guide as well. In this way, users can easily plan their desired travel plans and ensure support from a Japanese-speaking guide on site.

[0006] "Travel requirements" refer to conditions such as destination, activities, travel period, and budget desired by a user when planning a trip.

[0007] "Interface" refers to the device or software functionality through which a user enters travel requests.

[0008] "Desired Data" refers to information regarding travel desires entered by a user through the interface.

[0009] "Server" refers to a computer system that receives and analyzes requested data, and searches, evaluates, selects, and presents travel plans.

[0010] "Search" refers to the process by which the server finds an appropriate travel plan from the database based on the user's travel requests.

[0011] "Evaluation" refers to the process of determining how well a searched itinerary meets the user's needs.

[0012] "Selecting a plan" refers to choosing the most appropriate travel plan based on the evaluation.

[0013] "Presenting" refers to displaying the selected travel plan to the user.

[0014] "Collaboration" refers to communication and coordination with local guides based on the travel plan selected by the user.

[0015] "Matching schedules" refers to coordinating and matching the user's travel itinerary with the availability of local guides.

[0016] "Travel Plan" refers to a document or data containing details such as travel itinerary, destinations, activities, and local support that have been finalized based on a user's travel requests.

[0017] "Notification" refers to the act of communicating confirmed travel plans to users and local guides. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8]FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0019] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0021] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0022] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0023] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0024] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0025] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0026] [First embodiment]

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

[0028] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0029] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0030] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0031] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0032] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0033] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0035] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0036] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0037] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0038] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0039] The present invention provides a system that allows travelers to input their travel requests and provides optimal travel plans and local guide support based on those requests, in order to resolve the issues that travelers face when planning their trips.

[0040] This system is realized by a program that includes the following functions.

[0041] 1. Request input interface

[0042] The user uses a terminal to access an interface for inputting their travel requests. This interface consists of a form for inputting the desired travel destination, itinerary, budget, activities, etc. For example, the user might input specific requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[0043] 2. Receiving and analyzing requested data

[0044] The server receives the request data sent from the device. After receiving the data, the server analyzes the input data and extracts each element of the travel request (destination, activity, duration, budget, etc.), thereby clarifying the user's specific needs.

[0045] 3. Search and rate travel plans

[0046] The server searches the database for relevant travel plans based on the analysis results. For example, the server searches for plans with the following conditions:

[0047] Destination: Kyoto, Japan

[0048] Activity: Viewing autumn leaves

[0049] Period: Mid-October

[0050] Budget: Under 100,000 yen

[0051] The server evaluates the searched travel plans and selects the plan that best suits the user's needs. Evaluation criteria include past travel history, reviews, and detailed plan information.

[0052] 4. Presenting your travel plans

[0053] The evaluated and selected travel plans are sent from the server to the user's device and presented to the user. The user can review the plans presented through the device and select the plan that best suits their needs.

[0054] 5. Coordination with local guides and schedule adjustments

[0055] Based on the travel plan selected by the user, the server connects to the local guide database and searches for local guides who can speak Japanese. Guides are searched for using the following conditions:

[0056] Applicable area: Kyoto

[0057] Guide language skills: Japanese

[0058] Guide availability: According to the planned dates

[0059] The server coordinates the selected guide's schedule with the user's, matching their schedules, ensuring on-site support.

[0060] 6. Finalizing and notifying travel plans

[0061] The server puts together a final itinerary and sends it to the user's device. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. The server then notifies the local guide of the approved itinerary. The local guide receives the user's contact information, planned places to visit, schedule, and other details, and makes the necessary preparations.

[0062] As described above, the system of the present invention provides an integrated set of functions that allow users to smoothly plan their trips, thereby overcoming language and information shortages and enabling users to realize their ideal trip.

[0063] The processing flow will be explained below.

[0064] Step 1:

[0065] The user inputs their travel needs through the interface, for example, "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen."

[0066] Step 2:

[0067] The device sends the entered travel request in JSON format to the server.

[0068] Step 3:

[0069] The server receives the request data sent from the terminal.

[0070] Step 4:

[0071] The server analyzes the received data and extracts elements such as travel destination, desired activities, travel duration, and budget.

[0072] Step 5:

[0073] The server searches the database for travel plans based on the parsed request. For example, the server searches for plans with the following conditions:

[0074] Destination: Kyoto, Japan

[0075] Activity: Viewing autumn leaves

[0076] Period: Mid-October

[0077] Budget: Under 100,000 yen

[0078] Step 6:

[0079] The server evaluates the search results and selects the plan that best suits the user's needs. The evaluation criteria include the user's past travel history, review ratings, and detailed plan information.

[0080] Step 7:

[0081] The server transmits the selected travel plan to the terminal and presents it to the user.

[0082] Step 8:

[0083] The user reviews the plans presented and selects the one they like best.

[0084] Step 9:

[0085] The terminal transmits the selected plan information to the server.

[0086] Step 10:

[0087] The server will search for Japanese-speaking guides based on the selected plan information, linking with the local guide database. Search by the following conditions:

[0088] Applicable area: Kyoto

[0089] Guide language skills: Japanese

[0090] Guide availability: According to the planned dates

[0091] Step 11:

[0092] The server selects an appropriate guide from the search results and matches the user's schedule with the guide's availability.

[0093] Step 12:

[0094] The server compiles the final itinerary and sends it to the terminal for the user to review. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact details, etc.

[0095] Step 13:

[0096] The user reviews and approves the travel plans.

[0097] Step 14:

[0098] The terminal notifies the server of the approval.

[0099] Step 15:

[0100] The server then notifies the local guide of the final itinerary and user information, providing the guide with details such as the user's contact details, planned visits, and schedule.

[0101] The above are the specific processing steps of the travel planning system of the present invention. This system allows users to easily find travel plans that suit their needs and also ensures on-site Japanese support.

[0102] Example 1

[0103] 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."

[0104] Conventional travel planning systems require users to individually arrange travel plans and local guides, and have the problem of difficulty in finding appropriate guides and plans, especially due to language barriers and lack of information. Furthermore, automatic generation and evaluation of plans tailored to specific user needs is not adequately performed, making it difficult to provide an optimal travel experience.

[0105] 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.

[0106] In this invention, the server includes: means for a user to input travel requests through an interface; means for receiving and analyzing the input travel request data; means for searching for travel plans based on the analyzed requests; means for evaluating the searched travel plans and selecting an appropriate plan; means for presenting the selected travel plan to a user terminal; means for coordinating with a local guide based on the travel plan selected by the user; means for matching a schedule with the local guide through the coordination; means for finalizing the travel plan and notifying the user terminal; means for notifying the local guide of the finalized travel plan; and means for storing detailed information of the travel plan created based on the user's travel requests from the server in a database and keeping it available for the user to refer to as needed. This allows users to overcome language and information shortage issues and automatically create efficient and optimal travel plans.

[0107] "User" refers to an individual or organization that uses the system to input travel requests, select a travel plan, and arrange for a local guide.

[0108] "Terminal" refers to the computing device used by a user to enter travel requests and review travel plans and final itineraries.

[0109] "Server" refers to the central computer system that receives and analyzes data sent by users, searches for, evaluates, and selects travel plans, coordinates with local guides, and finalizes and notifies users of the final travel plan.

[0110] "Interface" refers to the part of the system that provides user interaction, such as a screen or form through which the user enters their travel requests.

[0111] "Travel Request Data" refers to information about a trip, such as destination, itinerary, budget, and desired activities, entered by a user through the interface.

[0112] "Analysis" refers to the process in which the server extracts each element from the travel request data received, and organizes and understands the data.

[0113] A "travel plan" refers to a specific travel guide that includes destinations, activities, duration, budget, etc. based on the user's travel needs.

[0114] "Database" refers to a data storage system that allows the server to store and manage analysis results, travel plans, and information on local guides.

[0115] A "local guide" is a person who supports and guides travelers in the areas they visit.

[0116] "Schedule matching" refers to the process of adjusting the availability of selected local guides based on the user's travel plans to match schedules.

[0117] "Linking" refers to the process in which the server searches for an appropriate local guide based on the selected travel plan and notifies the user of that information.

[0118] The present invention is a system for solving problems that users face when planning a trip. This system allows users to input their travel needs and provides optimal travel plans based on those needs, along with support from local guides.

[0119] 1. Request input interface

[0120] The user uses a terminal to access an interface for inputting travel requests. This interface consists of a form for inputting desired destinations, dates, budgets, activities, etc. Specific examples include requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[0121] 2. Receiving and analyzing requested data

[0122] The server receives the request data sent from the device. After receiving it, the server uses a data analysis algorithm to extract each element of the travel request (destination, activity, duration, budget, etc.). This clarifies the user's specific needs and allows the server to proceed to the next processing step.

[0123] 3. Search and rate travel plans

[0124] The server searches the database based on the analysis results. The query conditions are "Kyoto, Japan," "viewing autumn leaves," "mid-October," and "under 100,000 yen." The server evaluates the searched travel plans based on user reviews, past travel history, and plan details. The most suitable plan is selected, and the highly rated plans are placed at the top of the list.

[0125] 4. Presenting your travel plans

[0126] Based on the evaluation results, the server sends the optimal travel plan to the user's device. The user can then review the plans presented through the device and select the plan that best suits them based on detailed information (schedule, price, activity content, etc.).

[0127] 5. Coordination with local guides and schedule adjustments

[0128] Based on the travel plan selected by the user, the server accesses a local guide database. For example, it searches for guides based on criteria such as "area: Kyoto," "language skills: Japanese," and "availability: according to the plan's dates." It then coordinates the selected guide's schedule with the user's schedule and matches them to the schedule.

[0129] 6. Finalizing and notifying travel plans

[0130] The server puts together a final itinerary and sends it to the user's terminal along with detailed information (such as details of destinations, fees, itinerary, guide information, and contact details). After the user confirms this information, they approve the final itinerary. The server then notifies the local guide of the approved itinerary, who then begins preparing for the trip.

[0131] Specific examples and prompts for the generative AI model

[0132] As a concrete example, if a user inputs requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen," the system will go through each of the steps above and provide the optimal travel plan and support from a local guide.

[0133] Example prompt for generative AI model:

[0134] The user inputs "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." Based on this, generate the optimal travel plan, find a local guide, and adjust the schedule.

[0135] The above is a detailed description of the embodiment of the present invention. This system allows users to easily create efficient and optimal travel plans.

[0136] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0137] Step 1:

[0138] The user uses the terminal to input travel requests.

[0139] Input: User's travel requirements (destination, schedule, budget, activities)

[0140] Specific operation: The user enters specific information such as "Kyoto, Japan," "I want to see the autumn leaves," "mid-October," and "budget within 100,000 yen" into a form displayed on the terminal screen.

[0141] Output: The user's travel desire data is stored in the terminal and sent to the server.

[0142] Step 2:

[0143] The server receives the travel request data sent from the terminal.

[0144] Input: Travel request data sent from the terminal

[0145] Specific operation: The server first stores the travel request data received from the device in a buffer. For example, information such as "Destination: Kyoto," "Date: mid-October," and "Budget: within 100,000 yen" is received.

[0146] Output: Travel request data is stored on the server.

[0147] Step 3:

[0148] The server analyzes the received travel request data.

[0149] Input: Travel request data stored in the server

[0150] Specific operation: The server uses a data parsing algorithm to extract each element (destination, schedule, budget, activity) from the received travel request data. For example, it parses "Kyoto, Japan" and recognizes it as a "destination."

[0151] Output: The parsed travel desire data is generated.

[0152] Step 4:

[0153] The server searches for travel plans based on the analysis results.

[0154] Input: Parsed travel request data

[0155] Specific operation: The server generates a database query and searches for travel plans that match the conditions (e.g., "Kyoto, Japan," "autumn foliage viewing," "mid-October," "budget under 100,000 yen"). The plans found are then listed.

[0156] Output: A list of the searched itineraries is generated.

[0157] Step 5:

[0158] The server evaluates the searched travel plans and selects an appropriate plan.

[0159] Input: A list of travel plans obtained as search results

[0160] Specific operation: The server scores each plan based on evaluation criteria (user reviews, plan details, past travel history, etc.), selects the highly rated plans, and determines the optimal plan.

[0161] Output: The selected optimal travel plan is generated.

[0162] Step 6:

[0163] The server presents the selected travel plan to the user terminal.

[0164] Input: Optimal travel plan

[0165] Specific operation: The server sends the selected travel plan to the user terminal, which displays this information for the user to check.

[0166] Output: A travel plan that can be viewed by the user

[0167] Step 7:

[0168] The user checks the presented travel plans and selects the most suitable plan.

[0169] Input: proposed travel plan

[0170] Specific operation: The user checks the detailed information of the travel plans presented through the terminal (schedule, price, activity content, etc.) and selects the most suitable plan. The user presses a button to confirm the selection.

[0171] Output: The user's selection information is saved on the device and sent to the server.

[0172] Step 8:

[0173] The server cooperates with local guides based on the travel plan selected by the user.

[0174] Input: User selection information

[0175] Specific operation: The server accesses the local guide database and searches for guides who meet the conditions (e.g., "relevant area: Kyoto," "language skills: Japanese," "availability: user's schedule").

[0176] Output: A list of local guides that meet the criteria

[0177] Step 9:

[0178] The server matches schedules with local guides.

[0179] Input: List of local guides and user schedule

[0180] Specific operation: The server compares the schedule of the selected local guide with the user's schedule and matches the optimal schedule. This can be done using a system such as a calendar API.

[0181] Output: Information of the local guide whose schedule was matched

[0182] Step 10:

[0183] The server finalizes the travel plan and notifies the user terminal.

[0184] Input: Information of the local guide whose schedule was matched

[0185] Specific operation: The server compiles the final itinerary, including details of destinations, fees, itinerary, local guide information, and contact details, and sends it to the user's terminal. The user terminal displays this information for the user to review.

[0186] Output: A final itinerary that can be viewed by the user

[0187] Step 11:

[0188] The user reviews and approves the final itinerary.

[0189] Input: Final travel plans

[0190] Specific operation: The user confirms the final travel plan through the terminal and presses the approval button. The user's approval information is saved on the terminal and sent to the server.

[0191] Output: User's approved travel plans

[0192] Step 12:

[0193] The server notifies the local guide of the confirmed itinerary.

[0194] Input: User's approved travel plans

[0195] Specific operation: The server notifies the local guide of detailed information such as the user's contact information, planned visit locations, and schedule, so that the local guide can make preparations.

[0196] Output: Detailed information about the itinerary received by the local guide

[0197] The above is a description of the specific flow of program processing in this system and the operation of each step.

[0198] (Application example 1)

[0199] 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."

[0200] Conventional travel planning support systems have had problems such as users being unable to fully grasp information about their travel destinations in advance or insufficient on-site support due to language barriers. In particular, they lacked the ability to select plans based on prior experiences in a virtual environment or the ability to connect with detailed local guides, making it difficult for users to efficiently create ideal travel plans. Furthermore, users were anxious about visiting real-world travel destinations without knowing them, which was a factor that reduced travel satisfaction.

[0201] 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.

[0202] In this invention, the server includes means for inputting travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, means for evaluating the searched travel plans and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for coordinating with a local guide based on the travel plan selected by the user, means for matching a schedule with the local guide through the coordination, means for finalizing the travel plan and notifying the user terminal, means for notifying the local guide of the finalized travel plan, means for the user to plan the travel while experiencing the travel destination in a virtual environment, and means for coordinating with a device for generating a virtual environment on the user terminal. This allows the user to experience the travel destination in advance in a virtual environment and plan the travel with peace of mind, and further ensures detailed coordination with the local guide through a specific device, making it possible to realize the user's ideal trip.

[0203] A "travel desire interface" is a means by which a traveler inputs their travel desires through specific forms and options.

[0204] The "request data analysis means" is a means for analyzing travel request data received from a user and extracting each element (destination, activity, period, budget, etc.).

[0205] The "travel plan search means" is a means for searching a database for a corresponding travel plan based on the analyzed request.

[0206] The "plan evaluation means" is a means for evaluating the searched travel plans and selecting the plan that best suits the user's needs.

[0207] The "plan presentation means" is a means for presenting the selected travel plan to the user terminal.

[0208] The "local guide collaboration means" is a means for collaborating with a local guide based on the travel plan selected by the user.

[0209] The "schedule matching means" is a means for adjusting a schedule with a local guide to match the user's plans.

[0210] The "final plan notification means" is a means for finalizing a final travel plan and notifying the user terminal.

[0211] The "guide notification means" is a means for notifying the local guide of the confirmed travel plan.

[0212] The "virtual environment experience means" is a means for a user to plan a trip while experiencing a travel destination in a virtual environment.

[0213] The "virtual environment generating device cooperation means" is a means for cooperation with a device for generating a virtual environment on the user's terminal.

[0214] This invention is a system that provides travelers with optimal travel plans that include advance experiences in a virtual environment when planning a trip. This system includes a series of processes from inputting travel requests to finalizing and notifying the travel plan.

[0215] The user inputs their travel requests using a terminal. The terminal is equipped with a dedicated interface, allowing the user to input details of their requests, such as destination, itinerary, budget, and activities. This allows the user to clearly transmit their specific travel wishes to the server.

[0216] The server receives and analyzes the travel request data sent from the device. This analysis uses a program that extracts elements such as destination, activity, duration, and budget from the received data. This analysis process utilizes code written in Python and Flask.

[0217] The server then searches for and evaluates relevant travel plans from its database based on the analysis results. The evaluation criteria take into account past traveler reviews and detailed plan information. The evaluated plans are selected as appropriate and presented to the user's device.

[0218] Users can experience this presented plan in a virtual environment. By linking it with a device for generating a virtual environment (such as VR goggles), users can virtually experience the scenery and activities of their travel destination in advance. This allows users to understand their travel plan more concretely and visually.

[0219] Based on the travel plan selected by the user, the server connects to a local guide database to search for an appropriate local guide, selects a Japanese-speaking guide from the database, and adjusts the schedule to fit the user's schedule.

[0220] The final travel plan is confirmed by the server and the details are sent to the user's device, where the user can review and approve the plan. After approval, the final plan is also sent to the local guide, ensuring on-site support.

[0221] Examples of prompts include:

[0222] "Enter your travel plan: Destination is Kyoto, Date is mid-October, Budget is under 100,000 yen, Activity is autumn leaves."

[0223] "Search for the best travel plans and display them on the presentation screen."

[0224] The specific form of the invention involves the use of hardware and software related to the server and terminal. On the server side, Python and Flask are used to analyze and process data, while on the client side, Unity and C are used to generate a virtual environment, allowing users to interactively plan their trip. Tools such as TextMeshPro are also used to visually present information to users.

[0225] This allows travelers to plan their trips efficiently and with peace of mind while experiencing the trip in advance in a virtual environment. Utilizing a generative AI model, the system provides optimal travel plans in real time based on user input.

[0226] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0227] Step 1:

[0228] The user inputs their travel requirements through the device interface. The input information includes the destination, schedule, budget, activities, etc., and this information is sent from the device to the server. For example, data such as "Kyoto," "mid-October," "under 100,000 yen," and "autumn leaves" are input.

[0229] Step 2:

[0230] The server receives the travel request data sent from the device. The received data is analyzed to extract elements such as destination, activity, duration, and budget. Specific travel demand is identified through the analysis. For example, the analysis results might include "Kyoto," "autumn leaves," "mid-October," and "under 100,000 yen."

[0231] Step 3:

[0232] The server searches the database for relevant travel plans based on the analysis results. A generative AI model is used for the search, incorporating reviews and ratings from past travelers to select the most suitable plan. For example, multiple plans such as "Plan A: Kyoto Autumn Foliage Tour" and "Plan B: Kyoto Autumn Foliage Tour" may be selected.

[0233] Step 4:

[0234] The server evaluates the searched travel plans and selects the plan that best suits the user's needs. Evaluation criteria include the user's past travel history and reviews. The generative AI model calculates the suitability of each plan and determines the optimal plan. For example, "Plan A" is selected as the optimal plan.

[0235] Step 5:

[0236] The server presents the selected travel plan to the user's terminal, which then visually displays the presented plan information so that the user can check the details, including the plan's details and price information.

[0237] Step 6:

[0238] Users can experience their travel destination in advance in a virtual environment. Using VR goggles, users can visually experience the destination of their selected plan in the virtual environment. For example, they can see beautiful autumn foliage scenery and tourist spots in the virtual space.

[0239] Step 7:

[0240] The server is notified of the travel plan selected by the user. After the user has finished the virtual experience, they select a specific plan and the selection information is sent to the server. For example, information indicating that "Plan A" has been selected is sent.

[0241] Step 8:

[0242] The server connects to the local guide database. Based on the selected plan, it searches for local guides who can speak Japanese. The server adjusts the guide's schedule to match the user's schedule and performs matching. For example, it searches for "Guides A, B, and C who can speak Japanese in Kyoto."

[0243] Step 9:

[0244] The server finalizes the travel plan and notifies the user's device and the local guide. The final plan includes details of the places to visit, fees, dates, guide information, contact information, etc. For example, the plan may be "Kyoto Autumn Leaves Tour, 100,000 yen, mid-October, Guide A."

[0245] This allows users to experience travel in advance in a virtual environment, allowing them to plan the perfect trip with peace of mind. Furthermore, detailed connections with local guides can be secured through specific devices, making it possible to realize the ideal trip.

[0246] 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.

[0247] To solve the problems travelers face when planning trips, the present invention combines an emotion engine with a system that allows users to input their travel requests and provides optimal travel plans and local guide support based on those requests. This system makes it possible to provide travel plans that are further optimized based on the user's emotions and preferences.

[0248] This system is realized by a program that includes the following functions.

[0249] 1. Request input interface

[0250] The user uses a terminal to access an interface for inputting their travel requests. This interface consists of a form for inputting the desired travel destination, itinerary, budget, activities, etc. For example, the user might input specific requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[0251] 2. Receiving and analyzing requested data

[0252] The server receives the request data sent from the device. After receiving the data, the server analyzes the input data and extracts each element of the travel request (destination, activity, duration, budget, etc.), thereby clarifying the user's specific needs.

[0253] 3. Emotion Recognition by Emotion Engine

[0254] The emotion engine analyzes video and audio data when a user inputs their request to recognize the user's emotional state. For example, the emotion engine can determine whether the user is enjoying themselves, feeling relaxed, or feeling stressed through analysis of the user's tone of voice and facial expressions. This information is used to select travel plans.

[0255] 4. Search and rate travel plans

[0256] The server searches the database for relevant travel plans based on the analysis results and the user's emotional information obtained from the emotion engine. For example, the server searches for plans based on the following conditions:

[0257] Destination: Kyoto, Japan

[0258] Activity: Viewing autumn leaves

[0259] Period: Mid-October

[0260] Budget: Under 100,000 yen

[0261] User's emotional state: Relaxed or Enjoyed

[0262] When multiple travel plans are searched, the server evaluates the plan that best suits the user's needs and emotions, taking into account the emotional information generated by the emotion engine. The evaluation criteria include the user's past travel history, reviews, and detailed plan information.

[0263] 5. Presenting your travel plans

[0264] The evaluated and selected travel plans are sent from the server to the user's device and presented to the user. The user can review the plans presented through the device and select the plan that best suits their needs.

[0265] 6. Coordination with local guides and schedule adjustments

[0266] Based on the travel plan selected by the user, the server connects to the local guide database and searches for local guides who can speak Japanese. Guides are searched for using the following conditions:

[0267] Applicable area: Kyoto

[0268] Guide language skills: Japanese

[0269] Guide availability: According to the planned dates

[0270] The server coordinates the selected guide's schedule with the user's, matching their schedules, ensuring on-site support.

[0271] 7. Finalizing and notifying travel plans

[0272] The server puts together a final itinerary and sends it to the user's device. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. The server then notifies the local guide of the approved itinerary. The local guide receives the user's contact information, planned places to visit, schedule, and other details, and makes the necessary preparations.

[0273] As described above, the system of the present invention provides an integrated set of functions to help users plan their trips smoothly. Furthermore, by combining it with an emotion engine, it is possible to provide optimal travel plans based on the user's emotions and preferences, resulting in a more satisfying trip.

[0274] The processing flow will be explained below.

[0275] Step 1:

[0276] The user inputs their travel needs through the interface, for example, "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen."

[0277] Step 2:

[0278] The device sends the entered travel request in JSON format to the server.

[0279] Step 3:

[0280] The server receives the request data sent from the terminal.

[0281] Step 4:

[0282] The server analyzes the received data and extracts elements such as travel destination, desired activities, travel duration, and budget.

[0283] Step 5:

[0284] The emotion engine analyzes the video and audio data sent from the device to recognize the user's emotions, such as whether they are relaxed, excited, or stressed by analyzing their voice tone and facial expressions when entering their travel requests.

[0285] Step 6:

[0286] The server searches for relevant travel plans from the database based on the analysis results and the emotion data generated by the emotion engine. For example, the server searches for plans based on the following criteria:

[0287] Destination: Kyoto, Japan

[0288] Activity: Viewing autumn leaves

[0289] Period: Mid-October

[0290] Budget: Under 100,000 yen

[0291] Emotional data: The user wants to relax and have fun

[0292] Step 7:

[0293] The server evaluates the search results and selects the plan that best suits the user's needs and emotions. The evaluation criteria include the user's past travel history, review ratings, and detailed plan information.

[0294] Step 8:

[0295] The server sends the selected travel plan to the terminal and presents it to the user, including details of the destinations, fees, dates, included services, etc.

[0296] Step 9:

[0297] The user reviews the plans presented and selects the one they like best.

[0298] Step 10:

[0299] The terminal transmits the selected plan information to the server.

[0300] Step 11:

[0301] The server will search for Japanese-speaking guides based on the selected plan information, linking with the local guide database. Search by the following conditions:

[0302] Applicable area: Kyoto

[0303] Guide language skills: Japanese

[0304] Guide availability: According to the planned dates

[0305] Step 12:

[0306] The server selects an appropriate guide from the search results and matches the user's schedule with the guide's availability.

[0307] Step 13:

[0308] The server compiles the final itinerary and sends it to the terminal for the user to review. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact details, etc.

[0309] Step 14:

[0310] The user reviews and approves the travel plans.

[0311] Step 15:

[0312] The terminal notifies the server of the approval.

[0313] Step 16:

[0314] The server then notifies the local guide of the final itinerary and user information, providing the guide with details such as the user's contact details, planned visits, and schedule.

[0315] The above are the specific processing steps of the travel planning system of the present invention, which allows users to find the best travel plan based on their needs and emotions, and also provides on-site Japanese support.

[0316] Example 2

[0317] 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."

[0318] Conventional travel planning systems have difficulty providing optimal travel plans based on the user's emotions and preferences, and often do not smoothly select travel plans or collaborate with local guides. Furthermore, because they do not take the user's emotional state into consideration, it is difficult to create travel plans that are highly satisfying.

[0319] 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.

[0320] In this invention, the server includes means for a user to input travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, means for recognizing an emotional state and adding that information to the analyzed travel requests, means for evaluating the searched travel plans and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for coordinating with a local guide based on the travel plan selected by the user, means for matching a schedule with the local guide through the coordination, means for finalizing the travel plan and notifying the user terminal, and means for notifying the local guide of the finalized travel plan. This makes it possible to provide a more appropriate travel plan based on the user's emotions and preferences, thereby improving the overall smoothness and satisfaction of the travel planning process.

[0321] A "user terminal" is an electronic device that allows a user to input travel requests and receive travel plans.

[0322] "Travel request data" is information entered by the user, such as the travel destination, desired activities, travel period, budget, etc.

[0323] The "means for receiving and analyzing" is a function by which the server receives the travel request data sent from the user terminal and analyzes it in a way that makes the meaning understandable.

[0324] The "means for searching travel plans" is a function that allows the server to find an appropriate travel plan from the database based on the analyzed travel request data.

[0325] The "means for recognizing emotional state" is a function that analyzes the user's video and audio data and identifies the user's emotional state.

[0326] The "means for evaluating and selecting an appropriate plan" is a function that selects the most suitable travel plan from among multiple searched travel plans based on the user's emotional state, past travel history, etc.

[0327] "Presenting means" is a function that allows the server to display the selected travel plan on the user's terminal.

[0328] "Means for linking with local guides" is a function in which the server links with a local guide database based on the travel plan selected by the user and searches for an appropriate local guide.

[0329] "Means for matching schedules" refers to a function in which the server coordinates the schedules of the selected local guide and the user to align their schedules.

[0330] The "means for finalizing and notifying" is a function in which the server notifies the user terminal of the finalized travel plan and receives the user's approval.

[0331] "Means of notification" refers to the function of communicating details of the approved travel plan to the local guide.

[0332] The "means for searching for a guide based on language" is a function that allows the server to find an appropriate guide based on the language skills of the local guide.

[0333] This invention is a system designed to solve the problems travelers face when planning trips, and by combining it with an emotion engine, it provides optimal travel plans based on the user's emotions and preferences. This system is composed of a user terminal, a server, and an emotion engine.

[0334] The user first inputs their travel requirements through the interface. The terminal is equipped with a form for inputting the travel destination, itinerary, budget, desired activities, etc. For example, the user might input requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends this input travel requirement data to the server.

[0335] The transmitted data is received by the server. The server analyzes the received data using a generative AI model to extract each element of the travel request (destination, activities, duration, budget, etc.). This clarifies the user's specific needs. The server also receives video and audio data when the user inputs their request and analyzes it through an emotion engine. The emotion engine recognizes the user's emotional state (relaxed, excited, stressed, etc.) through voice tone and facial expression analysis.

[0336] The server searches for a corresponding travel plan from the database based on the analyzed travel request data and the emotion information recognized by the emotion engine. For example, the server searches for a travel plan with the following conditions:

[0337] Destination: Kyoto, Japan

[0338] Activity: Viewing autumn leaves

[0339] Period: Mid-October

[0340] Budget: Under 100,000 yen

[0341] User's emotional state: Relaxed or Enjoyed

[0342] When multiple travel plans are searched, the server evaluates them and selects the most suitable plan. Evaluation criteria include the user's past travel history, reviews, and detailed plan information. The selected travel plan is sent from the server to the user's device and presented to the user.

[0343] The user can review the proposed itineraries and choose the one that best suits their needs. Based on the itinerary selected by the user, the server connects to the local guide database. The server searches for local guides using the following criteria:

[0344] Applicable area: Kyoto

[0345] Guide language skills: Japanese

[0346] Guide availability: According to the planned dates

[0347] The server coordinates the selected local guide's schedule with the user's and matches the schedule. This information is sent back to the user's device. The final travel plan is compiled by the server and sent to the user's device. The travel plan includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user reviews and approves the final plan. The server notifies the local guide of the approved travel plan. The local guide receives detailed information such as the user's contact information, planned places to visit, and schedule, and makes the necessary preparations.

[0348] As an example, the following prompt sentence can be used:

[0349] "I'd like to visit Kyoto in mid-October to relax and enjoy the beautiful autumn leaves. My accommodation budget is under 10,000 yen per night. Please suggest a plan that includes Kyoto's recommended tourist attractions."

[0350] In this way, the system of the present invention provides an integrated range of functions to help users smoothly plan their trips, and is capable of providing optimal travel plans based on the user's feelings and preferences.

[0351] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0352] Step 1:

[0353] The user uses an interface on the terminal to input their travel requests. The user inputs the travel destination, schedule, budget, activities, etc. into a form. For example, the user might input requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends this request data to the server.

[0354] Step 2:

[0355] The server receives the request data sent from the device. The received request data is analyzed using a generative AI model to extract elements such as destination, activity, duration, and budget. The extracted elements are the output, and this data is used for subsequent processing.

[0356] Step 3:

[0357] The server simultaneously receives video and audio data as the user inputs their requests. The server uses an emotion engine to analyze the video and audio data and recognize the user's emotional state. This recognized emotional information is added to the travel request data analyzed by the server using a generative AI model. This clarifies the user's emotional state.

[0358] Step 4:

[0359] The server searches for relevant travel plans from the database based on the analyzed travel request data and the emotional information recognized by the emotion engine. The analysis results and emotional information are used as input, and the server searches for travel plans based on the following conditions:

[0360] Destination: Kyoto, Japan

[0361] Activity: Viewing autumn leaves

[0362] Period: Mid-October

[0363] Budget: Under 100,000 yen

[0364] User's emotional state: Relaxed or Enjoyed

[0365] The retrieved itinerary is generated as output.

[0366] Step 5:

[0367] The server evaluates the searched travel plans and selects the most suitable one. Evaluation criteria include the user's past travel history, reviews, and plan details. The searched travel plans and the user's past history are used as input, and the optimal travel plan is generated as output.

[0368] Step 6:

[0369] The server sends the selected travel plan to the user's terminal. The user reviews the travel plans presented on the terminal and selects the plan that best suits their needs. In this process, the travel plan sent from the server becomes input data, and the user's selection is generated as output.

[0370] Step 7:

[0371] The server connects to a local guide database based on the travel plan selected by the user. The server searches for local guides using the following criteria:

[0372] Applicable area: Kyoto

[0373] Guide language skills: Japanese

[0374] Guide availability: According to the planned dates

[0375] The search results are used to match schedules, which allows the server to search for local guides and adjust schedules.

[0376] Step 8:

[0377] The server compiles the final itinerary and sends it to the user's device. This itinerary includes details of destinations, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. In this process, the compiled itinerary is the input data and the user's approval is the output.

[0378] Step 9:

[0379] The server then notifies the local guide of the final approved travel plan. The local guide receives detailed information such as the user's contact information, planned visits, and schedule, and makes the necessary preparations. The notified plan information becomes input data, and the local guide's preparation status is generated as output.

[0380] (Application example 2)

[0381] 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."

[0382] Modern travelers must process a lot of information when planning a trip, and choosing the right plan takes time and effort. It's also difficult to select a plan based on the traveler's emotions and preferences. This can lead to an unsatisfactory travel experience. Another issue is the time and effort required to coordinate the selected plan with a local guide.

[0383] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, and means for evaluating the searched travel plans and selecting an appropriate plan taking the user's emotional state into consideration. This makes it possible to provide optimal travel plans based on the traveler's emotions and preferences.

[0384] "Travel requests" refer to the traveler's desired destination, schedule, budget, activities, and other details.

[0385] An "interface" refers to a screen or device through which a user inputs data.

[0386] "Receiving" refers to the travel request data being sent from the terminal to the server and then being retrieved.

[0387] "Analysis" refers to breaking down the input travel request data and understanding and interpreting its contents in detail.

[0388] "Search" refers to the process of identifying suitable travel plans from the database based on the analysis results.

[0389] "Evaluation" refers to the act of comparing multiple travel plans found and selecting the plan that best suits the user's conditions and emotional state.

[0390] "Emotional state" refers to the psychological state of the user when inputting their travel request, and is analyzed from voice and facial expression data.

[0391] "User terminal" refers to a device operated by a user, such as a personal computer, smartphone, or tablet.

[0392] A "local guide" refers to a guide who is responsible for showing the user around the travel destination.

[0393] "Schedule matching" refers to coordinating the free time of the user and the local guide based on the travel plan.

[0394] The "final travel plan" refers to the travel schedule and details that are finalized according to the user's wishes and conditions.

[0395] "Image capture device" refers to a device that captures the user's facial expression, such as a camera installed on a counter.

[0396] The term "voice recording device" refers to a device such as a microphone for collecting user voice data.

[0397] The present invention is a system for enabling travelers to plan their trips efficiently and with high satisfaction. To realize this application example, the system is composed of the following elements:

[0398] System Overview

[0399] Hardware

[0400] 1. User device: Use a tablet device, smart glasses, smartphone, etc.

[0401] 2. Image capture device: A camera installed on the counter is used to capture the user's facial expression data.

[0402] 3. Voice recording device: Uses a microphone to capture the user's voice data.

[0403] software

[0404] 1. Emotion Recognition Module (emotion_recognition_module): Recognizes user emotions based on voice tone and facial expression analysis.

[0405] 2. Travel Planning Module (travel_planning_module): Searches and evaluates optimal travel plans based on travel desire data and sentiment data.

[0406] 3. Guide Matching Module (guide_matching_module): Coordinates the schedule of a local guide based on the travel plan.

[0407] 4. Data Interface (data_interface): Inputs, analyzes, and presents travel request data, and notifies the final plan.

[0408] Processing flow

[0409] Travelers input their travel request data through a user terminal. The input data is sent to the server via a data interface. The server analyzes the received data and extracts the content of the request. Next, the user's video and audio data captured by an image capture device and audio recorder installed at the counter are analyzed by an emotion recognition module to recognize the user's emotional state.

[0410] The travel planning module searches the database for relevant travel plans based on the analysis results and emotion data. When an optimal plan is found, the server presents it to the user's device. After the user selects a plan, the guide matching module coordinates the schedule with a local guide.

[0411] Specific examples

[0412] For example, suppose a user enters travel requests such as "Trip to Kyoto," "Mid-October," "Viewing autumn leaves," and "Budget within 100,000 yen" into a tablet device at a travel agency counter. This data is sent to a server for analysis. At the same time, image capture and voice recording devices collect the user's emotional data, and the user is recognized as being in a relaxed state.

[0413] The server then searches for multiple travel plans based on this information and prioritizes plans that emphasize relaxation. For example, the following plans may be suggested:

[0414] Destination: Kyoto

[0415] Dates: October 15th-20th

[0416] Activities: Autumn foliage viewing, traditional tea ceremony experience

[0417] Budget: 80,000 yen

[0418] Example prompt sentence:

[0419] User: I'd like to go on a trip to Kyoto. I'd like to travel in mid-October, stay within 100,000 yen, and see the autumn leaves.

[0420] Server: Thank you. We're searching for the best itinerary based on your request.

[0421] <Emotion recognition result: Relaxed>

[0422] Server: We'll create a travel plan that best suits your needs and your current emotional state. How about this plan?

[0423] Destination: Kyoto

[0424] Dates: October 15th-20th

[0425] Activities: Autumn foliage viewing, traditional tea ceremony experience

[0426] Budget: 80,000 yen

[0427] In this way, it is possible to provide optimal travel plans in real time based on the user's input and emotional state.

[0428] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0429] Step 1:

[0430] The user inputs travel request data (destination, itinerary, budget, desired activities, etc.) into the terminal through the interface. The input data is sent to the server using the data interface. The input data may include video and audio data for capturing the user's voice and facial expressions.

[0431] Input: Travel destination, dates, budget, desired activities

[0432] Output: Travel request data sent to the server

[0433] Step 2:

[0434] The server analyzes the received travel request data. During the analysis process, each element (destination, schedule, budget, activity) is extracted from the data and converted into the required format.

[0435] Input: Travel request data

[0436] Output: Each element of the parsed travel request

[0437] Step 3:

[0438] The server inputs the user's video and audio data acquired through the image capture device and audio recorder into the emotion recognition module to recognize the user's emotional state. The emotion recognition module performs facial expression analysis and audio analysis to identify the user's emotions (relaxed, anxious, excited, etc.).

[0439] Input: Video data, audio data

[0440] Output: Perceived emotional state

[0441] Step 4:

[0442] The server searches the database for relevant travel plans based on the analysis results and the user's emotional state. The search uses the user's request data and emotional data. If multiple plans are found, they are evaluated based on the emotional data and the most suitable plan is selected.

[0443] Input: Analyzed travel request elements, emotional state data

[0444] Output: Optimal travel plan

[0445] Step 5:

[0446] The server presents the optimal travel plan to the user terminal, which displays the presented plan to the user and provides options for confirmation and selection.

[0447] Input: Best Travel Plan

[0448] Output: A travel plan presented to the user

[0449] Step 6:

[0450] After the user selects a travel plan, the server uses the guide matching module to coordinate and schedule with a local guide. It searches the database for the guide's availability and language capabilities, and matches the user's schedule with the guide's schedule.

[0451] Input: Selected travel plan

[0452] Output: Matched local guides

[0453] Step 7:

[0454] The server then finalizes the itinerary and notifies the user's device, along with the local guide, with a detailed schedule, contact information, and details of the places to be visited.

[0455] Input: Matched local guide, selected itinerary

[0456] Output: Final itinerary sent to user device and local guide

[0457] Through the above steps, the user can select the optimal travel plan based on their own emotional state and desires, and create an efficient and satisfying travel plan.

[0458] 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.

[0459] 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.

[0460] 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.

[0461] [Second embodiment]

[0462] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0463] 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.

[0464] 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).

[0465] 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.

[0466] 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.

[0467] 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).

[0468] 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.

[0469] 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.

[0470] 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.

[0471] 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.

[0472] 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.

[0473] 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."

[0474] The present invention provides a system that allows travelers to input their travel requests and provides optimal travel plans and local guide support based on those requests, in order to resolve the issues that travelers face when planning their trips.

[0475] This system is realized by a program that includes the following functions.

[0476] 1. Request input interface

[0477] The user uses a terminal to access an interface for inputting their travel requests. This interface consists of a form for inputting the desired travel destination, itinerary, budget, activities, etc. For example, the user might input specific requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[0478] 2. Receiving and analyzing requested data

[0479] The server receives the request data sent from the device. After receiving the data, the server analyzes the input data and extracts each element of the travel request (destination, activity, duration, budget, etc.), thereby clarifying the user's specific needs.

[0480] 3. Search and rate travel plans

[0481] The server searches the database for relevant travel plans based on the analysis results. For example, the server searches for plans with the following conditions:

[0482] Destination: Kyoto, Japan

[0483] Activity: Viewing autumn leaves

[0484] Period: Mid-October

[0485] Budget: Under 100,000 yen

[0486] The server evaluates the searched travel plans and selects the plan that best suits the user's needs. Evaluation criteria include past travel history, reviews, and detailed plan information.

[0487] 4. Presenting your travel plans

[0488] The evaluated and selected travel plans are sent from the server to the user's device and presented to the user. The user can review the plans presented through the device and select the plan that best suits their needs.

[0489] 5. Coordination with local guides and schedule adjustments

[0490] Based on the travel plan selected by the user, the server connects to the local guide database and searches for local guides who can speak Japanese. Guides are searched for using the following conditions:

[0491] Applicable area: Kyoto

[0492] Guide language skills: Japanese

[0493] Guide availability: According to the planned dates

[0494] The server coordinates the selected guide's schedule with the user's, matching their schedules, ensuring on-site support.

[0495] 6. Finalizing and notifying travel plans

[0496] The server puts together a final itinerary and sends it to the user's device. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. The server then notifies the local guide of the approved itinerary. The local guide receives the user's contact information, planned places to visit, schedule, and other details, and makes the necessary preparations.

[0497] As described above, the system of the present invention provides an integrated set of functions that allow users to smoothly plan their trips, thereby overcoming language and information shortages and enabling users to realize their ideal trip.

[0498] The processing flow will be explained below.

[0499] Step 1:

[0500] The user inputs their travel needs through the interface, for example, "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen."

[0501] Step 2:

[0502] The device sends the entered travel request in JSON format to the server.

[0503] Step 3:

[0504] The server receives the request data sent from the terminal.

[0505] Step 4:

[0506] The server analyzes the received data and extracts elements such as travel destination, desired activities, travel duration, and budget.

[0507] Step 5:

[0508] The server searches the database for travel plans based on the parsed request. For example, the server searches for plans with the following conditions:

[0509] Destination: Kyoto, Japan

[0510] Activity: Viewing autumn leaves

[0511] Period: Mid-October

[0512] Budget: Under 100,000 yen

[0513] Step 6:

[0514] The server evaluates the search results and selects the plan that best suits the user's needs. The evaluation criteria include the user's past travel history, review ratings, and detailed plan information.

[0515] Step 7:

[0516] The server transmits the selected travel plan to the terminal and presents it to the user.

[0517] Step 8:

[0518] The user reviews the plans presented and selects the one they like best.

[0519] Step 9:

[0520] The terminal transmits the selected plan information to the server.

[0521] Step 10:

[0522] The server will search for Japanese-speaking guides based on the selected plan information, linking with the local guide database. Search by the following conditions:

[0523] Applicable area: Kyoto

[0524] Guide language skills: Japanese

[0525] Guide availability: According to the planned dates

[0526] Step 11:

[0527] The server selects an appropriate guide from the search results and matches the user's schedule with the guide's availability.

[0528] Step 12:

[0529] The server compiles the final itinerary and sends it to the terminal for the user to review. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact details, etc.

[0530] Step 13:

[0531] The user reviews and approves the travel plans.

[0532] Step 14:

[0533] The terminal notifies the server of the approval.

[0534] Step 15:

[0535] The server then notifies the local guide of the final itinerary and user information, providing the guide with details such as the user's contact details, planned visits, and schedule.

[0536] The above are the specific processing steps of the travel planning system of the present invention. This system allows users to easily find travel plans that suit their needs and also ensures on-site Japanese support.

[0537] Example 1

[0538] 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."

[0539] Conventional travel planning systems require users to individually arrange travel plans and local guides, and have the problem of difficulty in finding appropriate guides and plans, especially due to language barriers and lack of information. Furthermore, automatic generation and evaluation of plans tailored to specific user needs is not adequately performed, making it difficult to provide an optimal travel experience.

[0540] 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.

[0541] In this invention, the server includes: means for a user to input travel requests through an interface; means for receiving and analyzing the input travel request data; means for searching for travel plans based on the analyzed requests; means for evaluating the searched travel plans and selecting an appropriate plan; means for presenting the selected travel plan to a user terminal; means for coordinating with a local guide based on the travel plan selected by the user; means for matching a schedule with the local guide through the coordination; means for finalizing the travel plan and notifying the user terminal; means for notifying the local guide of the finalized travel plan; and means for storing detailed information of the travel plan created based on the user's travel requests from the server in a database and keeping it available for the user to refer to as needed. This allows users to overcome language and information shortage issues and automatically create efficient and optimal travel plans.

[0542] "User" refers to an individual or organization that uses the system to input travel requests, select a travel plan, and arrange for a local guide.

[0543] "Terminal" refers to the computing device used by a user to enter travel requests and review travel plans and final itineraries.

[0544] "Server" refers to the central computer system that receives and analyzes data sent by users, searches for, evaluates, and selects travel plans, coordinates with local guides, and finalizes and notifies users of the final travel plan.

[0545] "Interface" refers to the part of the system that provides user interaction, such as a screen or form through which the user enters their travel requests.

[0546] "Travel Request Data" refers to information about a trip, such as destination, itinerary, budget, and desired activities, entered by a user through the interface.

[0547] "Analysis" refers to the process in which the server extracts each element from the travel request data received, and organizes and understands the data.

[0548] A "travel plan" refers to a specific travel guide that includes destinations, activities, duration, budget, etc. based on the user's travel needs.

[0549] "Database" refers to a data storage system that allows the server to store and manage analysis results, travel plans, and information on local guides.

[0550] A "local guide" is a person who supports and guides travelers in the areas they visit.

[0551] "Schedule matching" refers to the process of adjusting the availability of selected local guides based on the user's travel plans to match schedules.

[0552] "Linking" refers to the process in which the server searches for an appropriate local guide based on the selected travel plan and notifies the user of that information.

[0553] The present invention is a system for solving problems that users face when planning a trip. This system allows users to input their travel needs and provides optimal travel plans based on those needs, along with support from local guides.

[0554] 1. Request input interface

[0555] The user uses a terminal to access an interface for inputting travel requests. This interface consists of a form for inputting desired destinations, dates, budgets, activities, etc. Specific examples include requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[0556] 2. Receiving and analyzing requested data

[0557] The server receives the request data sent from the device. After receiving it, the server uses a data analysis algorithm to extract each element of the travel request (destination, activity, duration, budget, etc.). This clarifies the user's specific needs and allows the server to proceed to the next processing step.

[0558] 3. Search and rate travel plans

[0559] The server searches the database based on the analysis results. The query conditions are "Kyoto, Japan," "viewing autumn leaves," "mid-October," and "under 100,000 yen." The server evaluates the searched travel plans based on user reviews, past travel history, and plan details. The most suitable plan is selected, and the highly rated plans are placed at the top of the list.

[0560] 4. Presenting your travel plans

[0561] Based on the evaluation results, the server sends the optimal travel plan to the user's device. The user can then review the plans presented through the device and select the plan that best suits them based on detailed information (schedule, price, activity content, etc.).

[0562] 5. Coordination with local guides and schedule adjustments

[0563] Based on the travel plan selected by the user, the server accesses a local guide database. For example, it searches for guides based on criteria such as "area: Kyoto," "language skills: Japanese," and "availability: according to the plan's dates." It then coordinates the selected guide's schedule with the user's schedule and matches them to the schedule.

[0564] 6. Finalizing and notifying travel plans

[0565] The server puts together a final itinerary and sends it to the user's terminal along with detailed information (such as details of destinations, fees, itinerary, guide information, and contact details). After the user confirms this information, they approve the final itinerary. The server then notifies the local guide of the approved itinerary, who then begins preparing for the trip.

[0566] Specific examples and prompts for the generative AI model

[0567] As a concrete example, if a user inputs requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen," the system will go through each of the steps above and provide the optimal travel plan and support from a local guide.

[0568] Example prompt for generative AI model:

[0569] The user inputs "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." Based on this, generate the optimal travel plan, find a local guide, and adjust the schedule.

[0570] The above is a detailed description of the embodiment of the present invention. This system allows users to easily create efficient and optimal travel plans.

[0571] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0572] Step 1:

[0573] The user uses the terminal to input travel requests.

[0574] Input: User's travel requirements (destination, schedule, budget, activities)

[0575] Specific operation: The user enters specific information such as "Kyoto, Japan," "I want to see the autumn leaves," "mid-October," and "budget within 100,000 yen" into a form displayed on the terminal screen.

[0576] Output: The user's travel desire data is stored in the terminal and sent to the server.

[0577] Step 2:

[0578] The server receives the travel request data sent from the terminal.

[0579] Input: Travel request data sent from the terminal

[0580] Specific operation: The server first stores the travel request data received from the device in a buffer. For example, information such as "Destination: Kyoto," "Date: mid-October," and "Budget: within 100,000 yen" is received.

[0581] Output: Travel request data is stored on the server.

[0582] Step 3:

[0583] The server analyzes the received travel request data.

[0584] Input: Travel request data stored in the server

[0585] Specific operation: The server uses a data parsing algorithm to extract each element (destination, schedule, budget, activity) from the received travel request data. For example, it parses "Kyoto, Japan" and recognizes it as a "destination."

[0586] Output: The parsed travel desire data is generated.

[0587] Step 4:

[0588] The server searches for travel plans based on the analysis results.

[0589] Input: Parsed travel request data

[0590] Specific operation: The server generates a database query and searches for travel plans that match the conditions (e.g., "Kyoto, Japan," "autumn foliage viewing," "mid-October," "budget under 100,000 yen"). The plans found are then listed.

[0591] Output: A list of the searched itineraries is generated.

[0592] Step 5:

[0593] The server evaluates the searched travel plans and selects an appropriate plan.

[0594] Input: A list of travel plans obtained as search results

[0595] Specific operation: The server scores each plan based on evaluation criteria (user reviews, plan details, past travel history, etc.), selects the highly rated plans, and determines the optimal plan.

[0596] Output: The selected optimal travel plan is generated.

[0597] Step 6:

[0598] The server presents the selected travel plan to the user terminal.

[0599] Input: Optimal travel plan

[0600] Specific operation: The server sends the selected travel plan to the user terminal, which displays this information for the user to check.

[0601] Output: A travel plan that can be viewed by the user

[0602] Step 7:

[0603] The user checks the presented travel plans and selects the most suitable plan.

[0604] Input: proposed travel plan

[0605] Specific operation: The user checks the detailed information of the travel plans presented through the terminal (schedule, price, activity content, etc.) and selects the most suitable plan. The user presses a button to confirm the selection.

[0606] Output: The user's selection information is saved on the device and sent to the server.

[0607] Step 8:

[0608] The server cooperates with local guides based on the travel plan selected by the user.

[0609] Input: User selection information

[0610] Specific operation: The server accesses the local guide database and searches for guides who meet the conditions (e.g., "relevant area: Kyoto," "language skills: Japanese," "availability: user's schedule").

[0611] Output: A list of local guides that meet the criteria

[0612] Step 9:

[0613] The server matches schedules with local guides.

[0614] Input: List of local guides and user schedule

[0615] Specific operation: The server compares the schedule of the selected local guide with the user's schedule and matches the optimal schedule. This can be done using a system such as a calendar API.

[0616] Output: Information of the local guide whose schedule was matched

[0617] Step 10:

[0618] The server finalizes the travel plan and notifies the user terminal.

[0619] Input: Information of the local guide whose schedule was matched

[0620] Specific operation: The server compiles the final itinerary, including details of destinations, fees, itinerary, local guide information, and contact details, and sends it to the user's terminal. The user terminal displays this information for the user to review.

[0621] Output: A final itinerary that can be viewed by the user

[0622] Step 11:

[0623] The user reviews and approves the final itinerary.

[0624] Input: Final travel plans

[0625] Specific operation: The user confirms the final travel plan through the terminal and presses the approval button. The user's approval information is saved on the terminal and sent to the server.

[0626] Output: User's approved travel plans

[0627] Step 12:

[0628] The server notifies the local guide of the confirmed itinerary.

[0629] Input: User's approved travel plans

[0630] Specific operation: The server notifies the local guide of detailed information such as the user's contact information, planned visit locations, and schedule, so that the local guide can make preparations.

[0631] Output: Detailed information about the itinerary received by the local guide

[0632] The above is a description of the specific flow of program processing in this system and the operation of each step.

[0633] (Application example 1)

[0634] 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."

[0635] Conventional travel planning support systems have had problems such as users being unable to fully grasp information about their travel destinations in advance or insufficient on-site support due to language barriers. In particular, they lacked the ability to select plans based on prior experiences in a virtual environment or the ability to connect with detailed local guides, making it difficult for users to efficiently create ideal travel plans. Furthermore, users were anxious about visiting real-world travel destinations without knowing them, which was a factor that reduced travel satisfaction.

[0636] 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.

[0637] In this invention, the server includes means for inputting travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, means for evaluating the searched travel plans and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for coordinating with a local guide based on the travel plan selected by the user, means for matching a schedule with the local guide through the coordination, means for finalizing the travel plan and notifying the user terminal, means for notifying the local guide of the finalized travel plan, means for the user to plan the travel while experiencing the travel destination in a virtual environment, and means for coordinating with a device for generating a virtual environment on the user terminal. This allows the user to experience the travel destination in advance in a virtual environment and plan the travel with peace of mind, and further ensures detailed coordination with the local guide through a specific device, making it possible to realize the user's ideal trip.

[0638] A "travel desire interface" is a means by which a traveler inputs their travel desires through specific forms and options.

[0639] The "request data analysis means" is a means for analyzing travel request data received from a user and extracting each element (destination, activity, period, budget, etc.).

[0640] The "travel plan search means" is a means for searching a database for a corresponding travel plan based on the analyzed request.

[0641] The "plan evaluation means" is a means for evaluating the searched travel plans and selecting the plan that best suits the user's needs.

[0642] The "plan presentation means" is a means for presenting the selected travel plan to the user terminal.

[0643] The "local guide collaboration means" is a means for collaborating with a local guide based on the travel plan selected by the user.

[0644] The "schedule matching means" is a means for adjusting a schedule with a local guide to match the user's plans.

[0645] The "final plan notification means" is a means for finalizing a final travel plan and notifying the user terminal.

[0646] The "guide notification means" is a means for notifying the local guide of the confirmed travel plan.

[0647] The "virtual environment experience means" is a means for a user to plan a trip while experiencing a travel destination in a virtual environment.

[0648] The "virtual environment generating device cooperation means" is a means for cooperation with a device for generating a virtual environment on the user's terminal.

[0649] This invention is a system that provides travelers with optimal travel plans that include advance experiences in a virtual environment when planning a trip. This system includes a series of processes from inputting travel requests to finalizing and notifying the travel plan.

[0650] The user inputs their travel requests using a terminal. The terminal is equipped with a dedicated interface, allowing the user to input details of their requests, such as destination, itinerary, budget, and activities. This allows the user to clearly transmit their specific travel wishes to the server.

[0651] The server receives and analyzes the travel request data sent from the device. This analysis uses a program that extracts elements such as destination, activity, duration, and budget from the received data. This analysis process utilizes code written in Python and Flask.

[0652] The server then searches for and evaluates relevant travel plans from its database based on the analysis results. The evaluation criteria take into account past traveler reviews and detailed plan information. The evaluated plans are selected as appropriate and presented to the user's device.

[0653] Users can experience this presented plan in a virtual environment. By linking it with a device for generating a virtual environment (such as VR goggles), users can virtually experience the scenery and activities of their travel destination in advance. This allows users to understand their travel plan more concretely and visually.

[0654] Based on the travel plan selected by the user, the server connects to a local guide database to search for an appropriate local guide, selects a Japanese-speaking guide from the database, and adjusts the schedule to fit the user's schedule.

[0655] The final travel plan is confirmed by the server and the details are sent to the user's device, where the user can review and approve the plan. After approval, the final plan is also sent to the local guide, ensuring on-site support.

[0656] Examples of prompts include:

[0657] "Enter your travel plan: Destination is Kyoto, Date is mid-October, Budget is under 100,000 yen, Activity is autumn leaves."

[0658] "Search for the best travel plans and display them on the presentation screen."

[0659] The specific form of the invention involves the use of hardware and software related to the server and terminal. On the server side, Python and Flask are used to analyze and process data, while on the client side, Unity and C are used to generate a virtual environment, allowing users to interactively plan their trip. Tools such as TextMeshPro are also used to visually present information to users.

[0660] This allows travelers to plan their trips efficiently and with peace of mind while experiencing the trip in advance in a virtual environment. Utilizing a generative AI model, the system provides optimal travel plans in real time based on user input.

[0661] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0662] Step 1:

[0663] The user inputs their travel requirements through the device interface. The input information includes the destination, schedule, budget, activities, etc., and this information is sent from the device to the server. For example, data such as "Kyoto," "mid-October," "under 100,000 yen," and "autumn leaves" are input.

[0664] Step 2:

[0665] The server receives the travel request data sent from the device. The received data is analyzed to extract elements such as destination, activity, duration, and budget. Specific travel demand is identified through the analysis. For example, the analysis results might include "Kyoto," "autumn leaves," "mid-October," and "under 100,000 yen."

[0666] Step 3:

[0667] The server searches the database for relevant travel plans based on the analysis results. A generative AI model is used for the search, incorporating reviews and ratings from past travelers to select the most suitable plan. For example, multiple plans such as "Plan A: Kyoto Autumn Foliage Tour" and "Plan B: Kyoto Autumn Foliage Tour" may be selected.

[0668] Step 4:

[0669] The server evaluates the searched travel plans and selects the plan that best suits the user's needs. Evaluation criteria include the user's past travel history and reviews. The generative AI model calculates the suitability of each plan and determines the optimal plan. For example, "Plan A" is selected as the optimal plan.

[0670] Step 5:

[0671] The server presents the selected travel plan to the user's terminal, which then visually displays the presented plan information so that the user can check the details, including the plan's details and price information.

[0672] Step 6:

[0673] Users can experience their travel destination in advance in a virtual environment. Using VR goggles, users can visually experience the destination of their selected plan in the virtual environment. For example, they can see beautiful autumn foliage scenery and tourist spots in the virtual space.

[0674] Step 7:

[0675] The server is notified of the travel plan selected by the user. After the user has finished the virtual experience, they select a specific plan and the selection information is sent to the server. For example, information indicating that "Plan A" has been selected is sent.

[0676] Step 8:

[0677] The server connects to the local guide database. Based on the selected plan, it searches for local guides who can speak Japanese. The server adjusts the guide's schedule to match the user's schedule and performs matching. For example, it searches for "Guides A, B, and C who can speak Japanese in Kyoto."

[0678] Step 9:

[0679] The server finalizes the travel plan and notifies the user's device and the local guide. The final plan includes details of the places to visit, fees, dates, guide information, contact information, etc. For example, the plan may be "Kyoto Autumn Leaves Tour, 100,000 yen, mid-October, Guide A."

[0680] This allows users to experience travel in advance in a virtual environment, allowing them to plan the perfect trip with peace of mind. Furthermore, detailed connections with local guides can be secured through specific devices, making it possible to realize the ideal trip.

[0681] 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.

[0682] To solve the problems travelers face when planning trips, the present invention combines an emotion engine with a system that allows users to input their travel requests and provides optimal travel plans and local guide support based on those requests. This system makes it possible to provide travel plans that are further optimized based on the user's emotions and preferences.

[0683] This system is realized by a program that includes the following functions.

[0684] 1. Request input interface

[0685] The user uses a terminal to access an interface for inputting their travel requests. This interface consists of a form for inputting the desired travel destination, itinerary, budget, activities, etc. For example, the user might input specific requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[0686] 2. Receiving and analyzing requested data

[0687] The server receives the request data sent from the device. After receiving the data, the server analyzes the input data and extracts each element of the travel request (destination, activity, duration, budget, etc.), thereby clarifying the user's specific needs.

[0688] 3. Emotion Recognition by Emotion Engine

[0689] The emotion engine analyzes video and audio data when a user inputs their request to recognize the user's emotional state. For example, the emotion engine can determine whether the user is enjoying themselves, feeling relaxed, or feeling stressed through analysis of the user's tone of voice and facial expressions. This information is used to select travel plans.

[0690] 4. Search and rate travel plans

[0691] The server searches the database for relevant travel plans based on the analysis results and the user's emotional information obtained from the emotion engine. For example, the server searches for plans based on the following conditions:

[0692] Destination: Kyoto, Japan

[0693] Activity: Viewing autumn leaves

[0694] Period: Mid-October

[0695] Budget: Under 100,000 yen

[0696] User's emotional state: Relaxed or Enjoyed

[0697] When multiple travel plans are searched, the server evaluates the plan that best suits the user's needs and emotions, taking into account the emotional information generated by the emotion engine. The evaluation criteria include the user's past travel history, reviews, and detailed plan information.

[0698] 5. Presenting your travel plans

[0699] The evaluated and selected travel plans are sent from the server to the user's device and presented to the user. The user can review the plans presented through the device and select the plan that best suits their needs.

[0700] 6. Coordination with local guides and schedule adjustments

[0701] Based on the travel plan selected by the user, the server connects to the local guide database and searches for local guides who can speak Japanese. Guides are searched for using the following conditions:

[0702] Applicable area: Kyoto

[0703] Guide language skills: Japanese

[0704] Guide availability: According to the planned dates

[0705] The server coordinates the selected guide's schedule with the user's, matching their schedules, ensuring on-site support.

[0706] 7. Finalizing and notifying travel plans

[0707] The server puts together a final itinerary and sends it to the user's device. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. The server then notifies the local guide of the approved itinerary. The local guide receives the user's contact information, planned places to visit, schedule, and other details, and makes the necessary preparations.

[0708] As described above, the system of the present invention provides an integrated set of functions to help users plan their trips smoothly. Furthermore, by combining it with an emotion engine, it is possible to provide optimal travel plans based on the user's emotions and preferences, resulting in a more satisfying trip.

[0709] The processing flow will be explained below.

[0710] Step 1:

[0711] The user inputs their travel needs through the interface, for example, "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen."

[0712] Step 2:

[0713] The device sends the entered travel request in JSON format to the server.

[0714] Step 3:

[0715] The server receives the request data sent from the terminal.

[0716] Step 4:

[0717] The server analyzes the received data and extracts elements such as travel destination, desired activities, travel duration, and budget.

[0718] Step 5:

[0719] The emotion engine analyzes the video and audio data sent from the device to recognize the user's emotions, such as whether they are relaxed, excited, or stressed by analyzing their voice tone and facial expressions when entering their travel requests.

[0720] Step 6:

[0721] The server searches for relevant travel plans from the database based on the analysis results and the emotion data generated by the emotion engine. For example, the server searches for plans based on the following criteria:

[0722] Destination: Kyoto, Japan

[0723] Activity: Viewing autumn leaves

[0724] Period: Mid-October

[0725] Budget: Under 100,000 yen

[0726] Emotional data: The user wants to relax and have fun

[0727] Step 7:

[0728] The server evaluates the search results and selects the plan that best suits the user's needs and emotions. The evaluation criteria include the user's past travel history, review ratings, and detailed plan information.

[0729] Step 8:

[0730] The server sends the selected travel plan to the terminal and presents it to the user, including details of the destinations, fees, dates, included services, etc.

[0731] Step 9:

[0732] The user reviews the plans presented and selects the one they like best.

[0733] Step 10:

[0734] The terminal transmits the selected plan information to the server.

[0735] Step 11:

[0736] The server will search for Japanese-speaking guides based on the selected plan information, linking with the local guide database. Search by the following conditions:

[0737] Applicable area: Kyoto

[0738] Guide language skills: Japanese

[0739] Guide availability: According to the planned dates

[0740] Step 12:

[0741] The server selects an appropriate guide from the search results and matches the user's schedule with the guide's availability.

[0742] Step 13:

[0743] The server compiles the final itinerary and sends it to the terminal for the user to review. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact details, etc.

[0744] Step 14:

[0745] The user reviews and approves the travel plans.

[0746] Step 15:

[0747] The terminal notifies the server of the approval.

[0748] Step 16:

[0749] The server then notifies the local guide of the final itinerary and user information, providing the guide with details such as the user's contact details, planned visits, and schedule.

[0750] The above are the specific processing steps of the travel planning system of the present invention, which allows users to find the best travel plan based on their needs and emotions, and also provides on-site Japanese support.

[0751] Example 2

[0752] 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."

[0753] Conventional travel planning systems have difficulty providing optimal travel plans based on the user's emotions and preferences, and often do not smoothly select travel plans or collaborate with local guides. Furthermore, because they do not take the user's emotional state into consideration, it is difficult to create travel plans that are highly satisfying.

[0754] 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.

[0755] In this invention, the server includes means for a user to input travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, means for recognizing an emotional state and adding that information to the analyzed travel requests, means for evaluating the searched travel plans and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for coordinating with a local guide based on the travel plan selected by the user, means for matching a schedule with the local guide through the coordination, means for finalizing the travel plan and notifying the user terminal, and means for notifying the local guide of the finalized travel plan. This makes it possible to provide a more appropriate travel plan based on the user's emotions and preferences, thereby improving the overall smoothness and satisfaction of the travel planning process.

[0756] A "user terminal" is an electronic device that allows a user to input travel requests and receive travel plans.

[0757] "Travel request data" is information entered by the user, such as the travel destination, desired activities, travel period, budget, etc.

[0758] The "means for receiving and analyzing" is a function by which the server receives the travel request data sent from the user terminal and analyzes it in a way that makes the meaning understandable.

[0759] The "means for searching travel plans" is a function that allows the server to find an appropriate travel plan from the database based on the analyzed travel request data.

[0760] The "means for recognizing emotional state" is a function that analyzes the user's video and audio data and identifies the user's emotional state.

[0761] The "means for evaluating and selecting an appropriate plan" is a function that selects the most suitable travel plan from among multiple searched travel plans based on the user's emotional state, past travel history, etc.

[0762] "Presenting means" is a function that allows the server to display the selected travel plan on the user's terminal.

[0763] "Means for linking with local guides" is a function in which the server links with a local guide database based on the travel plan selected by the user and searches for an appropriate local guide.

[0764] "Means for matching schedules" refers to a function in which the server coordinates the schedules of the selected local guide and the user to align their schedules.

[0765] The "means for finalizing and notifying" is a function in which the server notifies the user terminal of the finalized travel plan and receives the user's approval.

[0766] "Means of notification" refers to the function of communicating details of the approved travel plan to the local guide.

[0767] The "means for searching for a guide based on language" is a function that allows the server to find an appropriate guide based on the language skills of the local guide.

[0768] This invention is a system designed to solve the problems travelers face when planning trips, and by combining it with an emotion engine, it provides optimal travel plans based on the user's emotions and preferences. This system is composed of a user terminal, a server, and an emotion engine.

[0769] The user first inputs their travel requirements through the interface. The terminal is equipped with a form for inputting the travel destination, itinerary, budget, desired activities, etc. For example, the user might input requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends this input travel requirement data to the server.

[0770] The transmitted data is received by the server. The server analyzes the received data using a generative AI model to extract each element of the travel request (destination, activities, duration, budget, etc.). This clarifies the user's specific needs. The server also receives video and audio data when the user inputs their request and analyzes it through an emotion engine. The emotion engine recognizes the user's emotional state (relaxed, excited, stressed, etc.) through voice tone and facial expression analysis.

[0771] The server searches for a corresponding travel plan from the database based on the analyzed travel request data and the emotion information recognized by the emotion engine. For example, the server searches for a travel plan with the following conditions:

[0772] Destination: Kyoto, Japan

[0773] Activity: Viewing autumn leaves

[0774] Period: Mid-October

[0775] Budget: Under 100,000 yen

[0776] User's emotional state: Relaxed or Enjoyed

[0777] When multiple travel plans are searched, the server evaluates them and selects the most suitable plan. Evaluation criteria include the user's past travel history, reviews, and detailed plan information. The selected travel plan is sent from the server to the user's device and presented to the user.

[0778] The user can review the proposed itineraries and choose the one that best suits their needs. Based on the itinerary selected by the user, the server connects to the local guide database. The server searches for local guides using the following criteria:

[0779] Applicable area: Kyoto

[0780] Guide language skills: Japanese

[0781] Guide availability: According to the planned dates

[0782] The server coordinates the selected local guide's schedule with the user's and matches the schedule. This information is sent back to the user's device. The final travel plan is compiled by the server and sent to the user's device. The travel plan includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user reviews and approves the final plan. The server notifies the local guide of the approved travel plan. The local guide receives detailed information such as the user's contact information, planned places to visit, and schedule, and makes the necessary preparations.

[0783] As an example, the following prompt sentence can be used:

[0784] "I'd like to visit Kyoto in mid-October to relax and enjoy the beautiful autumn leaves. My accommodation budget is under 10,000 yen per night. Please suggest a plan that includes Kyoto's recommended tourist attractions."

[0785] In this way, the system of the present invention provides an integrated range of functions to help users smoothly plan their trips, and is capable of providing optimal travel plans based on the user's feelings and preferences.

[0786] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0787] Step 1:

[0788] The user uses an interface on the terminal to input their travel requests. The user inputs the travel destination, schedule, budget, activities, etc. into a form. For example, the user might input requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends this request data to the server.

[0789] Step 2:

[0790] The server receives the request data sent from the device. The received request data is analyzed using a generative AI model to extract elements such as destination, activity, duration, and budget. The extracted elements are the output, and this data is used for subsequent processing.

[0791] Step 3:

[0792] The server simultaneously receives video and audio data as the user inputs their requests. The server uses an emotion engine to analyze the video and audio data and recognize the user's emotional state. This recognized emotional information is added to the travel request data analyzed by the server using a generative AI model. This clarifies the user's emotional state.

[0793] Step 4:

[0794] The server searches for relevant travel plans from the database based on the analyzed travel request data and the emotional information recognized by the emotion engine. The analysis results and emotional information are used as input, and the server searches for travel plans based on the following conditions:

[0795] Destination: Kyoto, Japan

[0796] Activity: Viewing autumn leaves

[0797] Period: Mid-October

[0798] Budget: Under 100,000 yen

[0799] User's emotional state: Relaxed or Enjoyed

[0800] The retrieved itinerary is generated as output.

[0801] Step 5:

[0802] The server evaluates the searched travel plans and selects the most suitable one. Evaluation criteria include the user's past travel history, reviews, and plan details. The searched travel plans and the user's past history are used as input, and the optimal travel plan is generated as output.

[0803] Step 6:

[0804] The server sends the selected travel plan to the user's terminal. The user reviews the travel plans presented on the terminal and selects the plan that best suits their needs. In this process, the travel plan sent from the server becomes input data, and the user's selection is generated as output.

[0805] Step 7:

[0806] The server connects to a local guide database based on the travel plan selected by the user. The server searches for local guides using the following criteria:

[0807] Applicable area: Kyoto

[0808] Guide language skills: Japanese

[0809] Guide availability: According to the planned dates

[0810] The search results are used to match schedules, which allows the server to search for local guides and adjust schedules.

[0811] Step 8:

[0812] The server compiles the final itinerary and sends it to the user's device. This itinerary includes details of destinations, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. In this process, the compiled itinerary is the input data and the user's approval is the output.

[0813] Step 9:

[0814] The server then notifies the local guide of the final approved travel plan. The local guide receives detailed information such as the user's contact information, planned visits, and schedule, and makes the necessary preparations. The notified plan information becomes input data, and the local guide's preparation status is generated as output.

[0815] (Application example 2)

[0816] 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."

[0817] Modern travelers must process a lot of information when planning a trip, and choosing the right plan takes time and effort. It's also difficult to select a plan based on the traveler's emotions and preferences. This can lead to an unsatisfactory travel experience. Another issue is the time and effort required to coordinate the selected plan with a local guide.

[0818] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, and means for evaluating the searched travel plans and selecting an appropriate plan taking the user's emotional state into consideration. This makes it possible to provide optimal travel plans based on the traveler's emotions and preferences.

[0819] "Travel requests" refer to the traveler's desired destination, schedule, budget, activities, and other details.

[0820] An "interface" refers to a screen or device through which a user inputs data.

[0821] "Receiving" refers to the travel request data being sent from the terminal to the server and then being retrieved.

[0822] "Analysis" refers to breaking down the input travel request data and understanding and interpreting its contents in detail.

[0823] "Search" refers to the process of identifying suitable travel plans from the database based on the analysis results.

[0824] "Evaluation" refers to the act of comparing multiple travel plans found and selecting the plan that best suits the user's conditions and emotional state.

[0825] "Emotional state" refers to the psychological state of the user when inputting their travel request, and is analyzed from voice and facial expression data.

[0826] "User terminal" refers to a device operated by a user, such as a personal computer, smartphone, or tablet.

[0827] A "local guide" refers to a guide who is responsible for showing the user around the travel destination.

[0828] "Schedule matching" refers to coordinating the free time of the user and the local guide based on the travel plan.

[0829] The "final travel plan" refers to the travel schedule and details that are finalized according to the user's wishes and conditions.

[0830] "Image capture device" refers to a device that captures the user's facial expression, such as a camera installed on a counter.

[0831] The term "voice recording device" refers to a device such as a microphone for collecting user voice data.

[0832] The present invention is a system for enabling travelers to plan their trips efficiently and with high satisfaction. To realize this application example, the system is composed of the following elements:

[0833] System Overview

[0834] Hardware

[0835] 1. User device: Use a tablet device, smart glasses, smartphone, etc.

[0836] 2. Image capture device: A camera installed on the counter is used to capture the user's facial expression data.

[0837] 3. Voice recording device: Uses a microphone to capture the user's voice data.

[0838] software

[0839] 1. Emotion Recognition Module (emotion_recognition_module): Recognizes user emotions based on voice tone and facial expression analysis.

[0840] 2. Travel Planning Module (travel_planning_module): Searches and evaluates optimal travel plans based on travel desire data and sentiment data.

[0841] 3. Guide Matching Module (guide_matching_module): Coordinates the schedule of a local guide based on the travel plan.

[0842] 4. Data Interface (data_interface): Inputs, analyzes, and presents travel request data, and notifies the final plan.

[0843] Processing flow

[0844] Travelers input their travel request data through a user terminal. The input data is sent to the server via a data interface. The server analyzes the received data and extracts the content of the request. Next, the user's video and audio data captured by an image capture device and audio recorder installed at the counter are analyzed by an emotion recognition module to recognize the user's emotional state.

[0845] The travel planning module searches the database for relevant travel plans based on the analysis results and emotion data. When an optimal plan is found, the server presents it to the user's device. After the user selects a plan, the guide matching module coordinates the schedule with a local guide.

[0846] Specific examples

[0847] For example, suppose a user enters travel requests such as "Trip to Kyoto," "Mid-October," "Viewing autumn leaves," and "Budget within 100,000 yen" into a tablet device at a travel agency counter. This data is sent to a server for analysis. At the same time, image capture and voice recording devices collect the user's emotional data, and the user is recognized as being in a relaxed state.

[0848] The server then searches for multiple travel plans based on this information and prioritizes plans that emphasize relaxation. For example, the following plans may be suggested:

[0849] Destination: Kyoto

[0850] Dates: October 15th-20th

[0851] Activities: Autumn foliage viewing, traditional tea ceremony experience

[0852] Budget: 80,000 yen

[0853] Example prompt sentence:

[0854] User: I'd like to go on a trip to Kyoto. I'd like to travel in mid-October, stay within 100,000 yen, and see the autumn leaves.

[0855] Server: Thank you. We're searching for the best itinerary based on your request.

[0856] <Emotion recognition result: Relaxed>

[0857] Server: We'll create a travel plan that best suits your needs and your current emotional state. How about this plan?

[0858] Destination: Kyoto

[0859] Dates: October 15th-20th

[0860] Activities: Autumn foliage viewing, traditional tea ceremony experience

[0861] Budget: 80,000 yen

[0862] In this way, it is possible to provide optimal travel plans in real time based on the user's input and emotional state.

[0863] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0864] Step 1:

[0865] The user inputs travel request data (destination, itinerary, budget, desired activities, etc.) into the terminal through the interface. The input data is sent to the server using the data interface. The input data may include video and audio data for capturing the user's voice and facial expressions.

[0866] Input: Travel destination, dates, budget, desired activities

[0867] Output: Travel request data sent to the server

[0868] Step 2:

[0869] The server analyzes the received travel request data. During the analysis process, each element (destination, schedule, budget, activity) is extracted from the data and converted into the required format.

[0870] Input: Travel request data

[0871] Output: Each element of the parsed travel request

[0872] Step 3:

[0873] The server inputs the user's video and audio data acquired through the image capture device and audio recorder into the emotion recognition module to recognize the user's emotional state. The emotion recognition module performs facial expression analysis and audio analysis to identify the user's emotions (relaxed, anxious, excited, etc.).

[0874] Input: Video data, audio data

[0875] Output: Perceived emotional state

[0876] Step 4:

[0877] The server searches the database for relevant travel plans based on the analysis results and the user's emotional state. The search uses the user's request data and emotional data. If multiple plans are found, they are evaluated based on the emotional data and the most suitable plan is selected.

[0878] Input: Analyzed travel request elements, emotional state data

[0879] Output: Optimal travel plan

[0880] Step 5:

[0881] The server presents the optimal travel plan to the user terminal, which displays the presented plan to the user and provides options for confirmation and selection.

[0882] Input: Best Travel Plan

[0883] Output: A travel plan presented to the user

[0884] Step 6:

[0885] After the user selects a travel plan, the server uses the guide matching module to coordinate and schedule with a local guide. It searches the database for the guide's availability and language capabilities, and matches the user's schedule with the guide's schedule.

[0886] Input: Selected travel plan

[0887] Output: Matched local guides

[0888] Step 7:

[0889] The server then finalizes the itinerary and notifies the user's device, along with the local guide, with a detailed schedule, contact information, and details of the places to be visited.

[0890] Input: Matched local guide, selected itinerary

[0891] Output: Final itinerary sent to user device and local guide

[0892] Through the above steps, the user can select the optimal travel plan based on their own emotional state and desires, and create an efficient and satisfying travel plan.

[0893] 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.

[0894] 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.

[0895] 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.

[0896] [Third embodiment]

[0897] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0898] 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.

[0899] 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).

[0900] 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.

[0901] 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.

[0902] 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).

[0903] 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.

[0904] 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.

[0905] 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.

[0906] 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.

[0907] 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.

[0908] 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."

[0909] The present invention provides a system that allows travelers to input their travel requests and provides optimal travel plans and local guide support based on those requests, in order to resolve the issues that travelers face when planning their trips.

[0910] This system is realized by a program that includes the following functions.

[0911] 1. Request input interface

[0912] The user uses a terminal to access an interface for inputting their travel requests. This interface consists of a form for inputting the desired travel destination, itinerary, budget, activities, etc. For example, the user might input specific requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[0913] 2. Receiving and analyzing requested data

[0914] The server receives the request data sent from the device. After receiving the data, the server analyzes the input data and extracts each element of the travel request (destination, activity, duration, budget, etc.), thereby clarifying the user's specific needs.

[0915] 3. Search and rate travel plans

[0916] The server searches the database for relevant travel plans based on the analysis results. For example, the server searches for plans with the following conditions:

[0917] Destination: Kyoto, Japan

[0918] Activity: Viewing autumn leaves

[0919] Period: Mid-October

[0920] Budget: Under 100,000 yen

[0921] The server evaluates the searched travel plans and selects the plan that best suits the user's needs. Evaluation criteria include past travel history, reviews, and detailed plan information.

[0922] 4. Presenting your travel plans

[0923] The evaluated and selected travel plans are sent from the server to the user's device and presented to the user. The user can review the plans presented through the device and select the plan that best suits their needs.

[0924] 5. Coordination with local guides and schedule adjustments

[0925] Based on the travel plan selected by the user, the server connects to the local guide database and searches for local guides who can speak Japanese. Guides are searched for using the following conditions:

[0926] Applicable area: Kyoto

[0927] Guide language skills: Japanese

[0928] Guide availability: According to the planned dates

[0929] The server coordinates the selected guide's schedule with the user's, matching their schedules, ensuring on-site support.

[0930] 6. Finalizing and notifying travel plans

[0931] The server puts together a final itinerary and sends it to the user's device. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. The server then notifies the local guide of the approved itinerary. The local guide receives the user's contact information, planned places to visit, schedule, and other details, and makes the necessary preparations.

[0932] As described above, the system of the present invention provides an integrated set of functions that allow users to smoothly plan their trips, thereby overcoming language and information shortages and enabling users to realize their ideal trip.

[0933] The processing flow will be explained below.

[0934] Step 1:

[0935] The user inputs their travel needs through the interface, for example, "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen."

[0936] Step 2:

[0937] The device sends the entered travel request in JSON format to the server.

[0938] Step 3:

[0939] The server receives the request data sent from the terminal.

[0940] Step 4:

[0941] The server analyzes the received data and extracts elements such as travel destination, desired activities, travel duration, and budget.

[0942] Step 5:

[0943] The server searches the database for travel plans based on the parsed request. For example, the server searches for plans with the following conditions:

[0944] Destination: Kyoto, Japan

[0945] Activity: Viewing autumn leaves

[0946] Period: Mid-October

[0947] Budget: Under 100,000 yen

[0948] Step 6:

[0949] The server evaluates the search results and selects the plan that best suits the user's needs. The evaluation criteria include the user's past travel history, review ratings, and detailed plan information.

[0950] Step 7:

[0951] The server transmits the selected travel plan to the terminal and presents it to the user.

[0952] Step 8:

[0953] The user reviews the plans presented and selects the one they like best.

[0954] Step 9:

[0955] The terminal transmits the selected plan information to the server.

[0956] Step 10:

[0957] The server will search for Japanese-speaking guides based on the selected plan information, linking with the local guide database. Search by the following conditions:

[0958] Applicable area: Kyoto

[0959] Guide language skills: Japanese

[0960] Guide availability: According to the planned dates

[0961] Step 11:

[0962] The server selects an appropriate guide from the search results and matches the user's schedule with the guide's availability.

[0963] Step 12:

[0964] The server compiles the final itinerary and sends it to the terminal for the user to review. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact details, etc.

[0965] Step 13:

[0966] The user reviews and approves the travel plans.

[0967] Step 14:

[0968] The terminal notifies the server of the approval.

[0969] Step 15:

[0970] The server then notifies the local guide of the final itinerary and user information, providing the guide with details such as the user's contact details, planned visits, and schedule.

[0971] The above are the specific processing steps of the travel planning system of the present invention. This system allows users to easily find travel plans that suit their needs and also ensures on-site Japanese support.

[0972] Example 1

[0973] 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."

[0974] Conventional travel planning systems require users to individually arrange travel plans and local guides, and have the problem of difficulty in finding appropriate guides and plans, especially due to language barriers and lack of information. Furthermore, automatic generation and evaluation of plans tailored to specific user needs is not adequately performed, making it difficult to provide an optimal travel experience.

[0975] 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.

[0976] In this invention, the server includes: means for a user to input travel requests through an interface; means for receiving and analyzing the input travel request data; means for searching for travel plans based on the analyzed requests; means for evaluating the searched travel plans and selecting an appropriate plan; means for presenting the selected travel plan to a user terminal; means for coordinating with a local guide based on the travel plan selected by the user; means for matching a schedule with the local guide through the coordination; means for finalizing the travel plan and notifying the user terminal; means for notifying the local guide of the finalized travel plan; and means for storing detailed information of the travel plan created based on the user's travel requests from the server in a database and keeping it available for the user to refer to as needed. This allows users to overcome language and information shortage issues and automatically create efficient and optimal travel plans.

[0977] "User" refers to an individual or organization that uses the system to input travel requests, select a travel plan, and arrange for a local guide.

[0978] "Terminal" refers to the computing device used by a user to enter travel requests and review travel plans and final itineraries.

[0979] "Server" refers to the central computer system that receives and analyzes data sent by users, searches for, evaluates, and selects travel plans, coordinates with local guides, and finalizes and notifies users of the final travel plan.

[0980] "Interface" refers to the part of the system that provides user interaction, such as a screen or form through which the user enters their travel requests.

[0981] "Travel Request Data" refers to information about a trip, such as destination, itinerary, budget, and desired activities, entered by a user through the interface.

[0982] "Analysis" refers to the process in which the server extracts each element from the travel request data received, and organizes and understands the data.

[0983] A "travel plan" refers to a specific travel guide that includes destinations, activities, duration, budget, etc. based on the user's travel needs.

[0984] "Database" refers to a data storage system that allows the server to store and manage analysis results, travel plans, and information on local guides.

[0985] A "local guide" is a person who supports and guides travelers in the areas they visit.

[0986] "Schedule matching" refers to the process of adjusting the availability of selected local guides based on the user's travel plans to match schedules.

[0987] "Linking" refers to the process in which the server searches for an appropriate local guide based on the selected travel plan and notifies the user of that information.

[0988] The present invention is a system for solving problems that users face when planning a trip. This system allows users to input their travel needs and provides optimal travel plans based on those needs, along with support from local guides.

[0989] 1. Request input interface

[0990] The user uses a terminal to access an interface for inputting travel requests. This interface consists of a form for inputting desired destinations, dates, budgets, activities, etc. Specific examples include requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[0991] 2. Receiving and analyzing requested data

[0992] The server receives the request data sent from the device. After receiving it, the server uses a data analysis algorithm to extract each element of the travel request (destination, activity, duration, budget, etc.). This clarifies the user's specific needs and allows the server to proceed to the next processing step.

[0993] 3. Search and rate travel plans

[0994] The server searches the database based on the analysis results. The query conditions are "Kyoto, Japan," "viewing autumn leaves," "mid-October," and "under 100,000 yen." The server evaluates the searched travel plans based on user reviews, past travel history, and plan details. The most suitable plan is selected, and the highly rated plans are placed at the top of the list.

[0995] 4. Presenting your travel plans

[0996] Based on the evaluation results, the server sends the optimal travel plan to the user's device. The user can then review the plans presented through the device and select the plan that best suits them based on detailed information (schedule, price, activity content, etc.).

[0997] 5. Coordination with local guides and schedule adjustments

[0998] Based on the travel plan selected by the user, the server accesses a local guide database. For example, it searches for guides based on criteria such as "area: Kyoto," "language skills: Japanese," and "availability: according to the plan's dates." It then coordinates the selected guide's schedule with the user's schedule and matches them to the schedule.

[0999] 6. Finalizing and notifying travel plans

[1000] The server puts together a final itinerary and sends it to the user's terminal along with detailed information (such as details of destinations, fees, itinerary, guide information, and contact details). After the user confirms this information, they approve the final itinerary. The server then notifies the local guide of the approved itinerary, who then begins preparing for the trip.

[1001] Specific examples and prompts for the generative AI model

[1002] As a concrete example, if a user inputs requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen," the system will go through each of the steps above and provide the optimal travel plan and support from a local guide.

[1003] Example prompt for generative AI model:

[1004] The user inputs "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." Based on this, generate the optimal travel plan, find a local guide, and adjust the schedule.

[1005] The above is a detailed description of the embodiment of the present invention. This system allows users to easily create efficient and optimal travel plans.

[1006] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1007] Step 1:

[1008] The user uses the terminal to input travel requests.

[1009] Input: User's travel requirements (destination, schedule, budget, activities)

[1010] Specific operation: The user enters specific information such as "Kyoto, Japan," "I want to see the autumn leaves," "mid-October," and "budget within 100,000 yen" into a form displayed on the terminal screen.

[1011] Output: The user's travel desire data is stored in the terminal and sent to the server.

[1012] Step 2:

[1013] The server receives the travel request data sent from the terminal.

[1014] Input: Travel request data sent from the terminal

[1015] Specific operation: The server first stores the travel request data received from the device in a buffer. For example, information such as "Destination: Kyoto," "Date: mid-October," and "Budget: within 100,000 yen" is received.

[1016] Output: Travel request data is stored on the server.

[1017] Step 3:

[1018] The server analyzes the received travel request data.

[1019] Input: Travel request data stored in the server

[1020] Specific operation: The server uses a data parsing algorithm to extract each element (destination, schedule, budget, activity) from the received travel request data. For example, it parses "Kyoto, Japan" and recognizes it as a "destination."

[1021] Output: The parsed travel desire data is generated.

[1022] Step 4:

[1023] The server searches for travel plans based on the analysis results.

[1024] Input: Parsed travel request data

[1025] Specific operation: The server generates a database query and searches for travel plans that match the conditions (e.g., "Kyoto, Japan," "autumn foliage viewing," "mid-October," "budget under 100,000 yen"). The plans found are then listed.

[1026] Output: A list of the searched itineraries is generated.

[1027] Step 5:

[1028] The server evaluates the searched travel plans and selects an appropriate plan.

[1029] Input: A list of travel plans obtained as search results

[1030] Specific operation: The server scores each plan based on evaluation criteria (user reviews, plan details, past travel history, etc.), selects the highly rated plans, and determines the optimal plan.

[1031] Output: The selected optimal travel plan is generated.

[1032] Step 6:

[1033] The server presents the selected travel plan to the user terminal.

[1034] Input: Optimal travel plan

[1035] Specific operation: The server sends the selected travel plan to the user terminal, which displays this information for the user to check.

[1036] Output: A travel plan that can be viewed by the user

[1037] Step 7:

[1038] The user checks the presented travel plans and selects the most suitable plan.

[1039] Input: proposed travel plan

[1040] Specific operation: The user checks the detailed information of the travel plans presented through the terminal (schedule, price, activity content, etc.) and selects the most suitable plan. The user presses a button to confirm the selection.

[1041] Output: The user's selection information is saved on the device and sent to the server.

[1042] Step 8:

[1043] The server cooperates with local guides based on the travel plan selected by the user.

[1044] Input: User selection information

[1045] Specific operation: The server accesses the local guide database and searches for guides who meet the conditions (e.g., "relevant area: Kyoto," "language skills: Japanese," "availability: user's schedule").

[1046] Output: A list of local guides that meet the criteria

[1047] Step 9:

[1048] The server matches schedules with local guides.

[1049] Input: List of local guides and user schedule

[1050] Specific operation: The server compares the schedule of the selected local guide with the user's schedule and matches the optimal schedule. This can be done using a system such as a calendar API.

[1051] Output: Information of the local guide whose schedule was matched

[1052] Step 10:

[1053] The server finalizes the travel plan and notifies the user terminal.

[1054] Input: Information of the local guide whose schedule was matched

[1055] Specific operation: The server compiles the final itinerary, including details of destinations, fees, itinerary, local guide information, and contact details, and sends it to the user's terminal. The user terminal displays this information for the user to review.

[1056] Output: A final itinerary that can be viewed by the user

[1057] Step 11:

[1058] The user reviews and approves the final itinerary.

[1059] Input: Final travel plans

[1060] Specific operation: The user confirms the final travel plan through the terminal and presses the approval button. The user's approval information is saved on the terminal and sent to the server.

[1061] Output: User's approved travel plans

[1062] Step 12:

[1063] The server notifies the local guide of the confirmed itinerary.

[1064] Input: User's approved travel plans

[1065] Specific operation: The server notifies the local guide of detailed information such as the user's contact information, planned visit locations, and schedule, so that the local guide can make preparations.

[1066] Output: Detailed information about the itinerary received by the local guide

[1067] The above is a description of the specific flow of program processing in this system and the operation of each step.

[1068] (Application example 1)

[1069] 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."

[1070] Conventional travel planning support systems have had problems such as users being unable to fully grasp information about their travel destinations in advance or insufficient on-site support due to language barriers. In particular, they lacked the ability to select plans based on prior experiences in a virtual environment or the ability to connect with detailed local guides, making it difficult for users to efficiently create ideal travel plans. Furthermore, users were anxious about visiting real-world travel destinations without knowing them, which was a factor that reduced travel satisfaction.

[1071] 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.

[1072] In this invention, the server includes means for inputting travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, means for evaluating the searched travel plans and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for coordinating with a local guide based on the travel plan selected by the user, means for matching a schedule with the local guide through the coordination, means for finalizing the travel plan and notifying the user terminal, means for notifying the local guide of the finalized travel plan, means for the user to plan the travel while experiencing the travel destination in a virtual environment, and means for coordinating with a device for generating a virtual environment on the user terminal. This allows the user to experience the travel destination in advance in a virtual environment and plan the travel with peace of mind, and further ensures detailed coordination with the local guide through a specific device, making it possible to realize the user's ideal trip.

[1073] A "travel desire interface" is a means by which a traveler inputs their travel desires through specific forms and options.

[1074] The "request data analysis means" is a means for analyzing travel request data received from a user and extracting each element (destination, activity, period, budget, etc.).

[1075] The "travel plan search means" is a means for searching a database for a corresponding travel plan based on the analyzed request.

[1076] The "plan evaluation means" is a means for evaluating the searched travel plans and selecting the plan that best suits the user's needs.

[1077] The "plan presentation means" is a means for presenting the selected travel plan to the user terminal.

[1078] The "local guide collaboration means" is a means for collaborating with a local guide based on the travel plan selected by the user.

[1079] The "schedule matching means" is a means for adjusting a schedule with a local guide to match the user's plans.

[1080] The "final plan notification means" is a means for finalizing a final travel plan and notifying the user terminal.

[1081] The "guide notification means" is a means for notifying the local guide of the confirmed travel plan.

[1082] The "virtual environment experience means" is a means for a user to plan a trip while experiencing a travel destination in a virtual environment.

[1083] The "virtual environment generating device cooperation means" is a means for cooperation with a device for generating a virtual environment on the user's terminal.

[1084] This invention is a system that provides travelers with optimal travel plans that include advance experiences in a virtual environment when planning a trip. This system includes a series of processes from inputting travel requests to finalizing and notifying the travel plan.

[1085] The user inputs their travel requests using a terminal. The terminal is equipped with a dedicated interface, allowing the user to input details of their requests, such as destination, itinerary, budget, and activities. This allows the user to clearly transmit their specific travel wishes to the server.

[1086] The server receives and analyzes the travel request data sent from the device. This analysis uses a program that extracts elements such as destination, activity, duration, and budget from the received data. This analysis process utilizes code written in Python and Flask.

[1087] The server then searches for and evaluates relevant travel plans from its database based on the analysis results. The evaluation criteria take into account past traveler reviews and detailed plan information. The evaluated plans are selected as appropriate and presented to the user's device.

[1088] Users can experience this presented plan in a virtual environment. By linking it with a device for generating a virtual environment (such as VR goggles), users can virtually experience the scenery and activities of their travel destination in advance. This allows users to understand their travel plan more concretely and visually.

[1089] Based on the travel plan selected by the user, the server connects to a local guide database to search for an appropriate local guide, selects a Japanese-speaking guide from the database, and adjusts the schedule to fit the user's schedule.

[1090] The final travel plan is confirmed by the server and the details are sent to the user's device, where the user can review and approve the plan. After approval, the final plan is also sent to the local guide, ensuring on-site support.

[1091] Examples of prompts include:

[1092] "Enter your travel plan: Destination is Kyoto, Date is mid-October, Budget is under 100,000 yen, Activity is autumn leaves."

[1093] "Search for the best travel plans and display them on the presentation screen."

[1094] The specific form of the invention involves the use of hardware and software related to the server and terminal. On the server side, Python and Flask are used to analyze and process data, while on the client side, Unity and C are used to generate a virtual environment, allowing users to interactively plan their trip. Tools such as TextMeshPro are also used to visually present information to users.

[1095] This allows travelers to plan their trips efficiently and with peace of mind while experiencing the trip in advance in a virtual environment. Utilizing a generative AI model, the system provides optimal travel plans in real time based on user input.

[1096] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1097] Step 1:

[1098] The user inputs their travel requirements through the device interface. The input information includes the destination, schedule, budget, activities, etc., and this information is sent from the device to the server. For example, data such as "Kyoto," "mid-October," "under 100,000 yen," and "autumn leaves" are input.

[1099] Step 2:

[1100] The server receives the travel request data sent from the device. The received data is analyzed to extract elements such as destination, activity, duration, and budget. Specific travel demand is identified through the analysis. For example, the analysis results might include "Kyoto," "autumn leaves," "mid-October," and "under 100,000 yen."

[1101] Step 3:

[1102] The server searches the database for relevant travel plans based on the analysis results. A generative AI model is used for the search, incorporating reviews and ratings from past travelers to select the most suitable plan. For example, multiple plans such as "Plan A: Kyoto Autumn Foliage Tour" and "Plan B: Kyoto Autumn Foliage Tour" may be selected.

[1103] Step 4:

[1104] The server evaluates the searched travel plans and selects the plan that best suits the user's needs. Evaluation criteria include the user's past travel history and reviews. The generative AI model calculates the suitability of each plan and determines the optimal plan. For example, "Plan A" is selected as the optimal plan.

[1105] Step 5:

[1106] The server presents the selected travel plan to the user's terminal, which then visually displays the presented plan information so that the user can check the details, including the plan's details and price information.

[1107] Step 6:

[1108] Users can experience their travel destination in advance in a virtual environment. Using VR goggles, users can visually experience the destination of their selected plan in the virtual environment. For example, they can see beautiful autumn foliage scenery and tourist spots in the virtual space.

[1109] Step 7:

[1110] The server is notified of the travel plan selected by the user. After the user has finished the virtual experience, they select a specific plan and the selection information is sent to the server. For example, information indicating that "Plan A" has been selected is sent.

[1111] Step 8:

[1112] The server connects to the local guide database. Based on the selected plan, it searches for local guides who can speak Japanese. The server adjusts the guide's schedule to match the user's schedule and performs matching. For example, it searches for "Guides A, B, and C who can speak Japanese in Kyoto."

[1113] Step 9:

[1114] The server finalizes the travel plan and notifies the user's device and the local guide. The final plan includes details of the places to visit, fees, dates, guide information, contact information, etc. For example, the plan may be "Kyoto Autumn Leaves Tour, 100,000 yen, mid-October, Guide A."

[1115] This allows users to experience travel in advance in a virtual environment, allowing them to plan the perfect trip with peace of mind. Furthermore, detailed connections with local guides can be secured through specific devices, making it possible to realize the ideal trip.

[1116] 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.

[1117] To solve the problems travelers face when planning trips, the present invention combines an emotion engine with a system that allows users to input their travel requests and provides optimal travel plans and local guide support based on those requests. This system makes it possible to provide travel plans that are further optimized based on the user's emotions and preferences.

[1118] This system is realized by a program that includes the following functions.

[1119] 1. Request input interface

[1120] The user uses a terminal to access an interface for inputting their travel requests. This interface consists of a form for inputting the desired travel destination, itinerary, budget, activities, etc. For example, the user might input specific requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[1121] 2. Receiving and analyzing requested data

[1122] The server receives the request data sent from the device. After receiving the data, the server analyzes the input data and extracts each element of the travel request (destination, activity, duration, budget, etc.), thereby clarifying the user's specific needs.

[1123] 3. Emotion Recognition by Emotion Engine

[1124] The emotion engine analyzes video and audio data when a user inputs their request to recognize the user's emotional state. For example, the emotion engine can determine whether the user is enjoying themselves, feeling relaxed, or feeling stressed through analysis of the user's tone of voice and facial expressions. This information is used to select travel plans.

[1125] 4. Search and rate travel plans

[1126] The server searches the database for relevant travel plans based on the analysis results and the user's emotional information obtained from the emotion engine. For example, the server searches for plans based on the following conditions:

[1127] Destination: Kyoto, Japan

[1128] Activity: Viewing autumn leaves

[1129] Period: Mid-October

[1130] Budget: Under 100,000 yen

[1131] User's emotional state: Relaxed or Enjoyed

[1132] When multiple travel plans are searched, the server evaluates the plan that best suits the user's needs and emotions, taking into account the emotional information generated by the emotion engine. The evaluation criteria include the user's past travel history, reviews, and detailed plan information.

[1133] 5. Presenting your travel plans

[1134] The evaluated and selected travel plans are sent from the server to the user's device and presented to the user. The user can review the plans presented through the device and select the plan that best suits their needs.

[1135] 6. Coordination with local guides and schedule adjustments

[1136] Based on the travel plan selected by the user, the server connects to the local guide database and searches for local guides who can speak Japanese. Guides are searched for using the following conditions:

[1137] Applicable area: Kyoto

[1138] Guide language skills: Japanese

[1139] Guide availability: According to the planned dates

[1140] The server coordinates the selected guide's schedule with the user's, matching their schedules, ensuring on-site support.

[1141] 7. Finalizing and notifying travel plans

[1142] The server puts together a final itinerary and sends it to the user's device. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. The server then notifies the local guide of the approved itinerary. The local guide receives the user's contact information, planned places to visit, schedule, and other details, and makes the necessary preparations.

[1143] As described above, the system of the present invention provides an integrated set of functions to help users plan their trips smoothly. Furthermore, by combining it with an emotion engine, it is possible to provide optimal travel plans based on the user's emotions and preferences, resulting in a more satisfying trip.

[1144] The processing flow will be explained below.

[1145] Step 1:

[1146] The user inputs their travel needs through the interface, for example, "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen."

[1147] Step 2:

[1148] The device sends the entered travel request in JSON format to the server.

[1149] Step 3:

[1150] The server receives the request data sent from the terminal.

[1151] Step 4:

[1152] The server analyzes the received data and extracts elements such as travel destination, desired activities, travel duration, and budget.

[1153] Step 5:

[1154] The emotion engine analyzes the video and audio data sent from the device to recognize the user's emotions, such as whether they are relaxed, excited, or stressed by analyzing their voice tone and facial expressions when entering their travel requests.

[1155] Step 6:

[1156] The server searches for relevant travel plans from the database based on the analysis results and the emotion data generated by the emotion engine. For example, the server searches for plans based on the following criteria:

[1157] Destination: Kyoto, Japan

[1158] Activity: Viewing autumn leaves

[1159] Period: Mid-October

[1160] Budget: Under 100,000 yen

[1161] Emotional data: The user wants to relax and have fun

[1162] Step 7:

[1163] The server evaluates the search results and selects the plan that best suits the user's needs and emotions. The evaluation criteria include the user's past travel history, review ratings, and detailed plan information.

[1164] Step 8:

[1165] The server sends the selected travel plan to the terminal and presents it to the user, including details of the destinations, fees, dates, included services, etc.

[1166] Step 9:

[1167] The user reviews the plans presented and selects the one they like best.

[1168] Step 10:

[1169] The terminal transmits the selected plan information to the server.

[1170] Step 11:

[1171] The server will search for Japanese-speaking guides based on the selected plan information, linking with the local guide database. Search by the following conditions:

[1172] Applicable area: Kyoto

[1173] Guide language skills: Japanese

[1174] Guide availability: According to the planned dates

[1175] Step 12:

[1176] The server selects an appropriate guide from the search results and matches the user's schedule with the guide's availability.

[1177] Step 13:

[1178] The server compiles the final itinerary and sends it to the terminal for the user to review. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact details, etc.

[1179] Step 14:

[1180] The user reviews and approves the travel plans.

[1181] Step 15:

[1182] The terminal notifies the server of the approval.

[1183] Step 16:

[1184] The server then notifies the local guide of the final itinerary and user information, providing the guide with details such as the user's contact details, planned visits, and schedule.

[1185] The above are the specific processing steps of the travel planning system of the present invention, which allows users to find the best travel plan based on their needs and emotions, and also provides on-site Japanese support.

[1186] Example 2

[1187] 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."

[1188] Conventional travel planning systems have difficulty providing optimal travel plans based on the user's emotions and preferences, and often do not smoothly select travel plans or collaborate with local guides. Furthermore, because they do not take the user's emotional state into consideration, it is difficult to create travel plans that are highly satisfying.

[1189] 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.

[1190] In this invention, the server includes means for a user to input travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, means for recognizing an emotional state and adding that information to the analyzed travel requests, means for evaluating the searched travel plans and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for coordinating with a local guide based on the travel plan selected by the user, means for matching a schedule with the local guide through the coordination, means for finalizing the travel plan and notifying the user terminal, and means for notifying the local guide of the finalized travel plan. This makes it possible to provide a more appropriate travel plan based on the user's emotions and preferences, thereby improving the overall smoothness and satisfaction of the travel planning process.

[1191] A "user terminal" is an electronic device that allows a user to input travel requests and receive travel plans.

[1192] "Travel request data" is information entered by the user, such as the travel destination, desired activities, travel period, budget, etc.

[1193] The "means for receiving and analyzing" is a function by which the server receives the travel request data sent from the user terminal and analyzes it in a way that makes the meaning understandable.

[1194] The "means for searching travel plans" is a function that allows the server to find an appropriate travel plan from the database based on the analyzed travel request data.

[1195] The "means for recognizing emotional state" is a function that analyzes the user's video and audio data and identifies the user's emotional state.

[1196] The "means for evaluating and selecting an appropriate plan" is a function that selects the most suitable travel plan from among multiple searched travel plans based on the user's emotional state, past travel history, etc.

[1197] "Presenting means" is a function that allows the server to display the selected travel plan on the user's terminal.

[1198] "Means for linking with local guides" is a function in which the server links with a local guide database based on the travel plan selected by the user and searches for an appropriate local guide.

[1199] "Means for matching schedules" refers to a function in which the server coordinates the schedules of the selected local guide and the user to align their schedules.

[1200] The "means for finalizing and notifying" is a function in which the server notifies the user terminal of the finalized travel plan and receives the user's approval.

[1201] "Means of notification" refers to the function of communicating details of the approved travel plan to the local guide.

[1202] The "means for searching for a guide based on language" is a function that allows the server to find an appropriate guide based on the language skills of the local guide.

[1203] This invention is a system designed to solve the problems travelers face when planning trips, and by combining it with an emotion engine, it provides optimal travel plans based on the user's emotions and preferences. This system is composed of a user terminal, a server, and an emotion engine.

[1204] The user first inputs their travel requirements through the interface. The terminal is equipped with a form for inputting the travel destination, itinerary, budget, desired activities, etc. For example, the user might input requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends this input travel requirement data to the server.

[1205] The transmitted data is received by the server. The server analyzes the received data using a generative AI model to extract each element of the travel request (destination, activities, duration, budget, etc.). This clarifies the user's specific needs. The server also receives video and audio data when the user inputs their request and analyzes it through an emotion engine. The emotion engine recognizes the user's emotional state (relaxed, excited, stressed, etc.) through voice tone and facial expression analysis.

[1206] The server searches for a corresponding travel plan from the database based on the analyzed travel request data and the emotion information recognized by the emotion engine. For example, the server searches for a travel plan with the following conditions:

[1207] Destination: Kyoto, Japan

[1208] Activity: Viewing autumn leaves

[1209] Period: Mid-October

[1210] Budget: Under 100,000 yen

[1211] User's emotional state: Relaxed or Enjoyed

[1212] When multiple travel plans are searched, the server evaluates them and selects the most suitable plan. Evaluation criteria include the user's past travel history, reviews, and detailed plan information. The selected travel plan is sent from the server to the user's device and presented to the user.

[1213] The user can review the proposed itineraries and choose the one that best suits their needs. Based on the itinerary selected by the user, the server connects to the local guide database. The server searches for local guides using the following criteria:

[1214] Applicable area: Kyoto

[1215] Guide language skills: Japanese

[1216] Guide availability: According to the planned dates

[1217] The server coordinates the selected local guide's schedule with the user's and matches the schedule. This information is sent back to the user's device. The final travel plan is compiled by the server and sent to the user's device. The travel plan includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user reviews and approves the final plan. The server notifies the local guide of the approved travel plan. The local guide receives detailed information such as the user's contact information, planned places to visit, and schedule, and makes the necessary preparations.

[1218] As an example, the following prompt sentence can be used:

[1219] "I'd like to visit Kyoto in mid-October to relax and enjoy the beautiful autumn leaves. My accommodation budget is under 10,000 yen per night. Please suggest a plan that includes Kyoto's recommended tourist attractions."

[1220] In this way, the system of the present invention provides an integrated range of functions to help users smoothly plan their trips, and is capable of providing optimal travel plans based on the user's feelings and preferences.

[1221] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1222] Step 1:

[1223] The user uses an interface on the terminal to input their travel requests. The user inputs the travel destination, schedule, budget, activities, etc. into a form. For example, the user might input requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends this request data to the server.

[1224] Step 2:

[1225] The server receives the request data sent from the device. The received request data is analyzed using a generative AI model to extract elements such as destination, activity, duration, and budget. The extracted elements are the output, and this data is used for subsequent processing.

[1226] Step 3:

[1227] The server simultaneously receives video and audio data as the user inputs their requests. The server uses an emotion engine to analyze the video and audio data and recognize the user's emotional state. This recognized emotional information is added to the travel request data analyzed by the server using a generative AI model. This clarifies the user's emotional state.

[1228] Step 4:

[1229] The server searches for relevant travel plans from the database based on the analyzed travel request data and the emotional information recognized by the emotion engine. The analysis results and emotional information are used as input, and the server searches for travel plans based on the following conditions:

[1230] Destination: Kyoto, Japan

[1231] Activity: Viewing autumn leaves

[1232] Period: Mid-October

[1233] Budget: Under 100,000 yen

[1234] User's emotional state: Relaxed or Enjoyed

[1235] The retrieved itinerary is generated as output.

[1236] Step 5:

[1237] The server evaluates the searched travel plans and selects the most suitable one. Evaluation criteria include the user's past travel history, reviews, and plan details. The searched travel plans and the user's past history are used as input, and the optimal travel plan is generated as output.

[1238] Step 6:

[1239] The server sends the selected travel plan to the user's terminal. The user reviews the travel plans presented on the terminal and selects the plan that best suits their needs. In this process, the travel plan sent from the server becomes input data, and the user's selection is generated as output.

[1240] Step 7:

[1241] The server connects to a local guide database based on the travel plan selected by the user. The server searches for local guides using the following criteria:

[1242] Applicable area: Kyoto

[1243] Guide language skills: Japanese

[1244] Guide availability: According to the planned dates

[1245] The search results are used to match schedules, which allows the server to search for local guides and adjust schedules.

[1246] Step 8:

[1247] The server compiles the final itinerary and sends it to the user's device. This itinerary includes details of destinations, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. In this process, the compiled itinerary is the input data and the user's approval is the output.

[1248] Step 9:

[1249] The server then notifies the local guide of the final approved travel plan. The local guide receives detailed information such as the user's contact information, planned visits, and schedule, and makes the necessary preparations. The notified plan information becomes input data, and the local guide's preparation status is generated as output.

[1250] (Application example 2)

[1251] 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."

[1252] Modern travelers must process a lot of information when planning a trip, and choosing the right plan takes time and effort. It's also difficult to select a plan based on the traveler's emotions and preferences. This can lead to an unsatisfactory travel experience. Another issue is the time and effort required to coordinate the selected plan with a local guide.

[1253] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, and means for evaluating the searched travel plans and selecting an appropriate plan taking the user's emotional state into consideration. This makes it possible to provide optimal travel plans based on the traveler's emotions and preferences.

[1254] "Travel requests" refer to the traveler's desired destination, schedule, budget, activities, and other details.

[1255] An "interface" refers to a screen or device through which a user inputs data.

[1256] "Receiving" refers to the travel request data being sent from the terminal to the server and then being retrieved.

[1257] "Analysis" refers to breaking down the input travel request data and understanding and interpreting its contents in detail.

[1258] "Search" refers to the process of identifying suitable travel plans from the database based on the analysis results.

[1259] "Evaluation" refers to the act of comparing multiple travel plans found and selecting the plan that best suits the user's conditions and emotional state.

[1260] "Emotional state" refers to the psychological state of the user when inputting their travel request, and is analyzed from voice and facial expression data.

[1261] "User terminal" refers to a device operated by a user, such as a personal computer, smartphone, or tablet.

[1262] A "local guide" refers to a guide who is responsible for showing the user around the travel destination.

[1263] "Schedule matching" refers to coordinating the free time of the user and the local guide based on the travel plan.

[1264] The "final travel plan" refers to the travel schedule and details that are finalized according to the user's wishes and conditions.

[1265] "Image capture device" refers to a device that captures the user's facial expression, such as a camera installed on a counter.

[1266] The term "voice recording device" refers to a device such as a microphone for collecting user voice data.

[1267] The present invention is a system for enabling travelers to plan their trips efficiently and with high satisfaction. To realize this application example, the system is composed of the following elements:

[1268] System Overview

[1269] Hardware

[1270] 1. User device: Use a tablet device, smart glasses, smartphone, etc.

[1271] 2. Image capture device: A camera installed on the counter is used to capture the user's facial expression data.

[1272] 3. Voice recording device: Uses a microphone to capture the user's voice data.

[1273] software

[1274] 1. Emotion Recognition Module (emotion_recognition_module): Recognizes user emotions based on voice tone and facial expression analysis.

[1275] 2. Travel Planning Module (travel_planning_module): Searches and evaluates optimal travel plans based on travel desire data and sentiment data.

[1276] 3. Guide Matching Module (guide_matching_module): Coordinates the schedule of a local guide based on the travel plan.

[1277] 4. Data Interface (data_interface): Inputs, analyzes, and presents travel request data, and notifies the final plan.

[1278] Processing flow

[1279] Travelers input their travel request data through a user terminal. The input data is sent to the server via a data interface. The server analyzes the received data and extracts the content of the request. Next, the user's video and audio data captured by an image capture device and audio recorder installed at the counter are analyzed by an emotion recognition module to recognize the user's emotional state.

[1280] The travel planning module searches the database for relevant travel plans based on the analysis results and emotion data. When an optimal plan is found, the server presents it to the user's device. After the user selects a plan, the guide matching module coordinates the schedule with a local guide.

[1281] Specific examples

[1282] For example, suppose a user enters travel requests such as "Trip to Kyoto," "Mid-October," "Viewing autumn leaves," and "Budget within 100,000 yen" into a tablet device at a travel agency counter. This data is sent to a server for analysis. At the same time, image capture and voice recording devices collect the user's emotional data, and the user is recognized as being in a relaxed state.

[1283] The server then searches for multiple travel plans based on this information and prioritizes plans that emphasize relaxation. For example, the following plans may be suggested:

[1284] Destination: Kyoto

[1285] Dates: October 15th-20th

[1286] Activities: Autumn foliage viewing, traditional tea ceremony experience

[1287] Budget: 80,000 yen

[1288] Example prompt sentence:

[1289] User: I'd like to go on a trip to Kyoto. I'd like to travel in mid-October, stay within 100,000 yen, and see the autumn leaves.

[1290] Server: Thank you. We're searching for the best itinerary based on your request.

[1291] <Emotion recognition result: Relaxed>

[1292] Server: We'll create a travel plan that best suits your needs and your current emotional state. How about this plan?

[1293] Destination: Kyoto

[1294] Dates: October 15th-20th

[1295] Activities: Autumn foliage viewing, traditional tea ceremony experience

[1296] Budget: 80,000 yen

[1297] In this way, it is possible to provide optimal travel plans in real time based on the user's input and emotional state.

[1298] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1299] Step 1:

[1300] The user inputs travel request data (destination, itinerary, budget, desired activities, etc.) into the terminal through the interface. The input data is sent to the server using the data interface. The input data may include video and audio data for capturing the user's voice and facial expressions.

[1301] Input: Travel destination, dates, budget, desired activities

[1302] Output: Travel request data sent to the server

[1303] Step 2:

[1304] The server analyzes the received travel request data. During the analysis process, each element (destination, schedule, budget, activity) is extracted from the data and converted into the required format.

[1305] Input: Travel request data

[1306] Output: Each element of the parsed travel request

[1307] Step 3:

[1308] The server inputs the user's video and audio data acquired through the image capture device and audio recorder into the emotion recognition module to recognize the user's emotional state. The emotion recognition module performs facial expression analysis and audio analysis to identify the user's emotions (relaxed, anxious, excited, etc.).

[1309] Input: Video data, audio data

[1310] Output: Perceived emotional state

[1311] Step 4:

[1312] The server searches the database for relevant travel plans based on the analysis results and the user's emotional state. The search uses the user's request data and emotional data. If multiple plans are found, they are evaluated based on the emotional data and the most suitable plan is selected.

[1313] Input: Analyzed travel request elements, emotional state data

[1314] Output: Optimal travel plan

[1315] Step 5:

[1316] The server presents the optimal travel plan to the user terminal, which displays the presented plan to the user and provides options for confirmation and selection.

[1317] Input: Best Travel Plan

[1318] Output: A travel plan presented to the user

[1319] Step 6:

[1320] After the user selects a travel plan, the server uses the guide matching module to coordinate and schedule with a local guide. It searches the database for the guide's availability and language capabilities, and matches the user's schedule with the guide's schedule.

[1321] Input: Selected travel plan

[1322] Output: Matched local guides

[1323] Step 7:

[1324] The server then finalizes the itinerary and notifies the user's device, along with the local guide, with a detailed schedule, contact information, and details of the places to be visited.

[1325] Input: Matched local guide, selected itinerary

[1326] Output: Final itinerary sent to user device and local guide

[1327] Through the above steps, the user can select the optimal travel plan based on their own emotional state and desires, and create an efficient and satisfying travel plan.

[1328] 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.

[1329] 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.

[1330] 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.

[1331] [Fourth embodiment]

[1332] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1333] 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.

[1334] 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).

[1335] 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.

[1336] 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.

[1337] 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).

[1338] 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.

[1339] 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.

[1340] 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.

[1341] 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.

[1342] 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.

[1343] 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.

[1344] 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."

[1345] The present invention provides a system that allows travelers to input their travel requests and provides optimal travel plans and local guide support based on those requests, in order to resolve the issues that travelers face when planning their trips.

[1346] This system is realized by a program that includes the following functions.

[1347] 1. Request input interface

[1348] The user uses a terminal to access an interface for inputting their travel requests. This interface consists of a form for inputting the desired travel destination, itinerary, budget, activities, etc. For example, the user might input specific requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[1349] 2. Receiving and analyzing requested data

[1350] The server receives the request data sent from the device. After receiving the data, the server analyzes the input data and extracts each element of the travel request (destination, activity, duration, budget, etc.), thereby clarifying the user's specific needs.

[1351] 3. Search and rate travel plans

[1352] The server searches the database for relevant travel plans based on the analysis results. For example, the server searches for plans with the following conditions:

[1353] Destination: Kyoto, Japan

[1354] Activity: Viewing autumn leaves

[1355] Period: Mid-October

[1356] Budget: Under 100,000 yen

[1357] The server evaluates the searched travel plans and selects the plan that best suits the user's needs. Evaluation criteria include past travel history, reviews, and detailed plan information.

[1358] 4. Presenting your travel plans

[1359] The evaluated and selected travel plans are sent from the server to the user's device and presented to the user. The user can review the plans presented through the device and select the plan that best suits their needs.

[1360] 5. Coordination with local guides and schedule adjustments

[1361] Based on the travel plan selected by the user, the server connects to the local guide database and searches for local guides who can speak Japanese. Guides are searched for using the following conditions:

[1362] Applicable area: Kyoto

[1363] Guide language skills: Japanese

[1364] Guide availability: According to the planned dates

[1365] The server coordinates the selected guide's schedule with the user's, matching their schedules, ensuring on-site support.

[1366] 6. Finalizing and notifying travel plans

[1367] The server puts together a final itinerary and sends it to the user's device. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. The server then notifies the local guide of the approved itinerary. The local guide receives the user's contact information, planned places to visit, schedule, and other details, and makes the necessary preparations.

[1368] As described above, the system of the present invention provides an integrated set of functions that allow users to smoothly plan their trips, thereby overcoming language and information shortages and enabling users to realize their ideal trip.

[1369] The processing flow will be explained below.

[1370] Step 1:

[1371] The user inputs their travel needs through the interface, for example, "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen."

[1372] Step 2:

[1373] The device sends the entered travel request in JSON format to the server.

[1374] Step 3:

[1375] The server receives the request data sent from the terminal.

[1376] Step 4:

[1377] The server analyzes the received data and extracts elements such as travel destination, desired activities, travel duration, and budget.

[1378] Step 5:

[1379] The server searches the database for travel plans based on the parsed request. For example, the server searches for plans with the following conditions:

[1380] Destination: Kyoto, Japan

[1381] Activity: Viewing autumn leaves

[1382] Period: Mid-October

[1383] Budget: Under 100,000 yen

[1384] Step 6:

[1385] The server evaluates the search results and selects the plan that best suits the user's needs. The evaluation criteria include the user's past travel history, review ratings, and detailed plan information.

[1386] Step 7:

[1387] The server transmits the selected travel plan to the terminal and presents it to the user.

[1388] Step 8:

[1389] The user reviews the plans presented and selects the one they like best.

[1390] Step 9:

[1391] The terminal transmits the selected plan information to the server.

[1392] Step 10:

[1393] The server will search for Japanese-speaking guides based on the selected plan information, linking with the local guide database. Search by the following conditions:

[1394] Applicable area: Kyoto

[1395] Guide language skills: Japanese

[1396] Guide availability: According to the planned dates

[1397] Step 11:

[1398] The server selects an appropriate guide from the search results and matches the user's schedule with the guide's availability.

[1399] Step 12:

[1400] The server compiles the final itinerary and sends it to the terminal for the user to review. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact details, etc.

[1401] Step 13:

[1402] The user reviews and approves the travel plans.

[1403] Step 14:

[1404] The terminal notifies the server of the approval.

[1405] Step 15:

[1406] The server then notifies the local guide of the final itinerary and user information, providing the guide with details such as the user's contact details, planned visits, and schedule.

[1407] The above are the specific processing steps of the travel planning system of the present invention. This system allows users to easily find travel plans that suit their needs and also ensures on-site Japanese support.

[1408] Example 1

[1409] 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."

[1410] Conventional travel planning systems require users to individually arrange travel plans and local guides, and have the problem of difficulty in finding appropriate guides and plans, especially due to language barriers and lack of information. Furthermore, automatic generation and evaluation of plans tailored to specific user needs is not adequately performed, making it difficult to provide an optimal travel experience.

[1411] 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.

[1412] In this invention, the server includes: means for a user to input travel requests through an interface; means for receiving and analyzing the input travel request data; means for searching for travel plans based on the analyzed requests; means for evaluating the searched travel plans and selecting an appropriate plan; means for presenting the selected travel plan to a user terminal; means for coordinating with a local guide based on the travel plan selected by the user; means for matching a schedule with the local guide through the coordination; means for finalizing the travel plan and notifying the user terminal; means for notifying the local guide of the finalized travel plan; and means for storing detailed information of the travel plan created based on the user's travel requests from the server in a database and keeping it available for the user to refer to as needed. This allows users to overcome language and information shortage issues and automatically create efficient and optimal travel plans.

[1413] "User" refers to an individual or organization that uses the system to input travel requests, select a travel plan, and arrange for a local guide.

[1414] "Terminal" refers to the computing device used by a user to enter travel requests and review travel plans and final itineraries.

[1415] "Server" refers to the central computer system that receives and analyzes data sent by users, searches for, evaluates, and selects travel plans, coordinates with local guides, and finalizes and notifies users of the final travel plan.

[1416] "Interface" refers to the part of the system that provides user interaction, such as a screen or form through which the user enters their travel requests.

[1417] "Travel Request Data" refers to information about a trip, such as destination, itinerary, budget, and desired activities, entered by a user through the interface.

[1418] "Analysis" refers to the process in which the server extracts each element from the travel request data received, and organizes and understands the data.

[1419] A "travel plan" refers to a specific travel guide that includes destinations, activities, duration, budget, etc. based on the user's travel needs.

[1420] "Database" refers to a data storage system that allows the server to store and manage analysis results, travel plans, and information on local guides.

[1421] A "local guide" is a person who supports and guides travelers in the areas they visit.

[1422] "Schedule matching" refers to the process of adjusting the availability of selected local guides based on the user's travel plans to match schedules.

[1423] "Linking" refers to the process in which the server searches for an appropriate local guide based on the selected travel plan and notifies the user of that information.

[1424] The present invention is a system for solving problems that users face when planning a trip. This system allows users to input their travel needs and provides optimal travel plans based on those needs, along with support from local guides.

[1425] 1. Request input interface

[1426] The user uses a terminal to access an interface for inputting travel requests. This interface consists of a form for inputting desired destinations, dates, budgets, activities, etc. Specific examples include requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[1427] 2. Receiving and analyzing requested data

[1428] The server receives the request data sent from the device. After receiving it, the server uses a data analysis algorithm to extract each element of the travel request (destination, activity, duration, budget, etc.). This clarifies the user's specific needs and allows the server to proceed to the next processing step.

[1429] 3. Search and rate travel plans

[1430] The server searches the database based on the analysis results. The query conditions are "Kyoto, Japan," "viewing autumn leaves," "mid-October," and "under 100,000 yen." The server evaluates the searched travel plans based on user reviews, past travel history, and plan details. The most suitable plan is selected, and the highly rated plans are placed at the top of the list.

[1431] 4. Presenting your travel plans

[1432] Based on the evaluation results, the server sends the optimal travel plan to the user's device. The user can then review the plans presented through the device and select the plan that best suits them based on detailed information (schedule, price, activity content, etc.).

[1433] 5. Coordination with local guides and schedule adjustments

[1434] Based on the travel plan selected by the user, the server accesses a local guide database. For example, it searches for guides based on criteria such as "area: Kyoto," "language skills: Japanese," and "availability: according to the plan's dates." It then coordinates the selected guide's schedule with the user's schedule and matches them to the schedule.

[1435] 6. Finalizing and notifying travel plans

[1436] The server puts together a final itinerary and sends it to the user's terminal along with detailed information (such as details of destinations, fees, itinerary, guide information, and contact details). After the user confirms this information, they approve the final itinerary. The server then notifies the local guide of the approved itinerary, who then begins preparing for the trip.

[1437] Specific examples and prompts for the generative AI model

[1438] As a concrete example, if a user inputs requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen," the system will go through each of the steps above and provide the optimal travel plan and support from a local guide.

[1439] Example prompt for generative AI model:

[1440] The user inputs "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." Based on this, generate the optimal travel plan, find a local guide, and adjust the schedule.

[1441] The above is a detailed description of the embodiment of the present invention. This system allows users to easily create efficient and optimal travel plans.

[1442] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1443] Step 1:

[1444] The user uses the terminal to input travel requests.

[1445] Input: User's travel requirements (destination, schedule, budget, activities)

[1446] Specific operation: The user enters specific information such as "Kyoto, Japan," "I want to see the autumn leaves," "mid-October," and "budget within 100,000 yen" into a form displayed on the terminal screen.

[1447] Output: The user's travel desire data is stored in the terminal and sent to the server.

[1448] Step 2:

[1449] The server receives the travel request data sent from the terminal.

[1450] Input: Travel request data sent from the terminal

[1451] Specific operation: The server first stores the travel request data received from the device in a buffer. For example, information such as "Destination: Kyoto," "Date: mid-October," and "Budget: within 100,000 yen" is received.

[1452] Output: Travel request data is stored on the server.

[1453] Step 3:

[1454] The server analyzes the received travel request data.

[1455] Input: Travel request data stored in the server

[1456] Specific operation: The server uses a data parsing algorithm to extract each element (destination, schedule, budget, activity) from the received travel request data. For example, it parses "Kyoto, Japan" and recognizes it as a "destination."

[1457] Output: The parsed travel desire data is generated.

[1458] Step 4:

[1459] The server searches for travel plans based on the analysis results.

[1460] Input: Parsed travel request data

[1461] Specific operation: The server generates a database query and searches for travel plans that match the conditions (e.g., "Kyoto, Japan," "autumn foliage viewing," "mid-October," "budget under 100,000 yen"). The plans found are then listed.

[1462] Output: A list of the searched itineraries is generated.

[1463] Step 5:

[1464] The server evaluates the searched travel plans and selects an appropriate plan.

[1465] Input: A list of travel plans obtained as search results

[1466] Specific operation: The server scores each plan based on evaluation criteria (user reviews, plan details, past travel history, etc.), selects the highly rated plans, and determines the optimal plan.

[1467] Output: The selected optimal travel plan is generated.

[1468] Step 6:

[1469] The server presents the selected travel plan to the user terminal.

[1470] Input: Optimal travel plan

[1471] Specific operation: The server sends the selected travel plan to the user terminal, which displays this information for the user to check.

[1472] Output: A travel plan that can be viewed by the user

[1473] Step 7:

[1474] The user checks the presented travel plans and selects the most suitable plan.

[1475] Input: proposed travel plan

[1476] Specific operation: The user checks the detailed information of the travel plans presented through the terminal (schedule, price, activity content, etc.) and selects the most suitable plan. The user presses a button to confirm the selection.

[1477] Output: The user's selection information is saved on the device and sent to the server.

[1478] Step 8:

[1479] The server cooperates with local guides based on the travel plan selected by the user.

[1480] Input: User selection information

[1481] Specific operation: The server accesses the local guide database and searches for guides who meet the conditions (e.g., "relevant area: Kyoto," "language skills: Japanese," "availability: user's schedule").

[1482] Output: A list of local guides that meet the criteria

[1483] Step 9:

[1484] The server matches schedules with local guides.

[1485] Input: List of local guides and user schedule

[1486] Specific operation: The server compares the schedule of the selected local guide with the user's schedule and matches the optimal schedule. This can be done using a system such as a calendar API.

[1487] Output: Information of the local guide whose schedule was matched

[1488] Step 10:

[1489] The server finalizes the travel plan and notifies the user terminal.

[1490] Input: Information of the local guide whose schedule was matched

[1491] Specific operation: The server compiles the final itinerary, including details of destinations, fees, itinerary, local guide information, and contact details, and sends it to the user's terminal. The user terminal displays this information for the user to review.

[1492] Output: A final itinerary that can be viewed by the user

[1493] Step 11:

[1494] The user reviews and approves the final itinerary.

[1495] Input: Final travel plans

[1496] Specific operation: The user confirms the final travel plan through the terminal and presses the approval button. The user's approval information is saved on the terminal and sent to the server.

[1497] Output: User's approved travel plans

[1498] Step 12:

[1499] The server notifies the local guide of the confirmed itinerary.

[1500] Input: User's approved travel plans

[1501] Specific operation: The server notifies the local guide of detailed information such as the user's contact information, planned visit locations, and schedule, so that the local guide can make preparations.

[1502] Output: Detailed information about the itinerary received by the local guide

[1503] The above is a description of the specific flow of program processing in this system and the operation of each step.

[1504] (Application example 1)

[1505] 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."

[1506] Conventional travel planning support systems have had problems such as users being unable to fully grasp information about their travel destinations in advance or insufficient on-site support due to language barriers. In particular, they lacked the ability to select plans based on prior experiences in a virtual environment or the ability to connect with detailed local guides, making it difficult for users to efficiently create ideal travel plans. Furthermore, users were anxious about visiting real-world travel destinations without knowing them, which was a factor that reduced travel satisfaction.

[1507] 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.

[1508] In this invention, the server includes means for inputting travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, means for evaluating the searched travel plans and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for coordinating with a local guide based on the travel plan selected by the user, means for matching a schedule with the local guide through the coordination, means for finalizing the travel plan and notifying the user terminal, means for notifying the local guide of the finalized travel plan, means for the user to plan the travel while experiencing the travel destination in a virtual environment, and means for coordinating with a device for generating a virtual environment on the user terminal. This allows the user to experience the travel destination in advance in a virtual environment and plan the travel with peace of mind, and further ensures detailed coordination with the local guide through a specific device, making it possible to realize the user's ideal trip.

[1509] A "travel desire interface" is a means by which a traveler inputs their travel desires through specific forms and options.

[1510] The "request data analysis means" is a means for analyzing travel request data received from a user and extracting each element (destination, activity, period, budget, etc.).

[1511] The "travel plan search means" is a means for searching a database for a corresponding travel plan based on the analyzed request.

[1512] The "plan evaluation means" is a means for evaluating the searched travel plans and selecting the plan that best suits the user's needs.

[1513] The "plan presentation means" is a means for presenting the selected travel plan to the user terminal.

[1514] The "local guide collaboration means" is a means for collaborating with a local guide based on the travel plan selected by the user.

[1515] The "schedule matching means" is a means for adjusting a schedule with a local guide to match the user's plans.

[1516] The "final plan notification means" is a means for finalizing a final travel plan and notifying the user terminal.

[1517] The "guide notification means" is a means for notifying the local guide of the confirmed travel plan.

[1518] The "virtual environment experience means" is a means for a user to plan a trip while experiencing a travel destination in a virtual environment.

[1519] The "virtual environment generating device cooperation means" is a means for cooperation with a device for generating a virtual environment on the user's terminal.

[1520] This invention is a system that provides travelers with optimal travel plans that include advance experiences in a virtual environment when planning a trip. This system includes a series of processes from inputting travel requests to finalizing and notifying the travel plan.

[1521] The user inputs their travel requests using a terminal. The terminal is equipped with a dedicated interface, allowing the user to input details of their requests, such as destination, itinerary, budget, and activities. This allows the user to clearly transmit their specific travel wishes to the server.

[1522] The server receives and analyzes the travel request data sent from the device. This analysis uses a program that extracts elements such as destination, activity, duration, and budget from the received data. This analysis process utilizes code written in Python and Flask.

[1523] The server then searches for and evaluates relevant travel plans from its database based on the analysis results. The evaluation criteria take into account past traveler reviews and detailed plan information. The evaluated plans are selected as appropriate and presented to the user's device.

[1524] Users can experience this presented plan in a virtual environment. By linking it with a device for generating a virtual environment (such as VR goggles), users can virtually experience the scenery and activities of their travel destination in advance. This allows users to understand their travel plan more concretely and visually.

[1525] Based on the travel plan selected by the user, the server connects to a local guide database to search for an appropriate local guide, selects a Japanese-speaking guide from the database, and adjusts the schedule to fit the user's schedule.

[1526] The final travel plan is confirmed by the server and the details are sent to the user's device, where the user can review and approve the plan. After approval, the final plan is also sent to the local guide, ensuring on-site support.

[1527] Examples of prompts include:

[1528] "Enter your travel plan: Destination is Kyoto, Date is mid-October, Budget is under 100,000 yen, Activity is autumn leaves."

[1529] "Search for the best travel plans and display them on the presentation screen."

[1530] The specific form of the invention involves the use of hardware and software related to the server and terminal. On the server side, Python and Flask are used to analyze and process data, while on the client side, Unity and C are used to generate a virtual environment, allowing users to interactively plan their trip. Tools such as TextMeshPro are also used to visually present information to users.

[1531] This allows travelers to plan their trips efficiently and with peace of mind while experiencing the trip in advance in a virtual environment. Utilizing a generative AI model, the system provides optimal travel plans in real time based on user input.

[1532] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1533] Step 1:

[1534] The user inputs their travel requirements through the device interface. The input information includes the destination, schedule, budget, activities, etc., and this information is sent from the device to the server. For example, data such as "Kyoto," "mid-October," "under 100,000 yen," and "autumn leaves" are input.

[1535] Step 2:

[1536] The server receives the travel request data sent from the device. The received data is analyzed to extract elements such as destination, activity, duration, and budget. Specific travel demand is identified through the analysis. For example, the analysis results might include "Kyoto," "autumn leaves," "mid-October," and "under 100,000 yen."

[1537] Step 3:

[1538] The server searches the database for relevant travel plans based on the analysis results. A generative AI model is used for the search, incorporating reviews and ratings from past travelers to select the most suitable plan. For example, multiple plans such as "Plan A: Kyoto Autumn Foliage Tour" and "Plan B: Kyoto Autumn Foliage Tour" may be selected.

[1539] Step 4:

[1540] The server evaluates the searched travel plans and selects the plan that best suits the user's needs. Evaluation criteria include the user's past travel history and reviews. The generative AI model calculates the suitability of each plan and determines the optimal plan. For example, "Plan A" is selected as the optimal plan.

[1541] Step 5:

[1542] The server presents the selected travel plan to the user's terminal, which then visually displays the presented plan information so that the user can check the details, including the plan's details and price information.

[1543] Step 6:

[1544] Users can experience their travel destination in advance in a virtual environment. Using VR goggles, users can visually experience the destination of their selected plan in the virtual environment. For example, they can see beautiful autumn foliage scenery and tourist spots in the virtual space.

[1545] Step 7:

[1546] The server is notified of the travel plan selected by the user. After the user has finished the virtual experience, they select a specific plan and the selection information is sent to the server. For example, information indicating that "Plan A" has been selected is sent.

[1547] Step 8:

[1548] The server connects to the local guide database. Based on the selected plan, it searches for local guides who can speak Japanese. The server adjusts the guide's schedule to match the user's schedule and performs matching. For example, it searches for "Guides A, B, and C who can speak Japanese in Kyoto."

[1549] Step 9:

[1550] The server finalizes the travel plan and notifies the user's device and the local guide. The final plan includes details of the places to visit, fees, dates, guide information, contact information, etc. For example, the plan may be "Kyoto Autumn Leaves Tour, 100,000 yen, mid-October, Guide A."

[1551] This allows users to experience travel in advance in a virtual environment, allowing them to plan the perfect trip with peace of mind. Furthermore, detailed connections with local guides can be secured through specific devices, making it possible to realize the ideal trip.

[1552] 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.

[1553] To solve the problems travelers face when planning trips, the present invention combines an emotion engine with a system that allows users to input their travel requests and provides optimal travel plans and local guide support based on those requests. This system makes it possible to provide travel plans that are further optimized based on the user's emotions and preferences.

[1554] This system is realized by a program that includes the following functions.

[1555] 1. Request input interface

[1556] The user uses a terminal to access an interface for inputting their travel requests. This interface consists of a form for inputting the desired travel destination, itinerary, budget, activities, etc. For example, the user might input specific requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends the request data entered by the user to the server.

[1557] 2. Receiving and analyzing requested data

[1558] The server receives the request data sent from the device. After receiving the data, the server analyzes the input data and extracts each element of the travel request (destination, activity, duration, budget, etc.), thereby clarifying the user's specific needs.

[1559] 3. Emotion Recognition by Emotion Engine

[1560] The emotion engine analyzes video and audio data when a user inputs their request to recognize the user's emotional state. For example, the emotion engine can determine whether the user is enjoying themselves, feeling relaxed, or feeling stressed through analysis of the user's tone of voice and facial expressions. This information is used to select travel plans.

[1561] 4. Search and rate travel plans

[1562] The server searches the database for relevant travel plans based on the analysis results and the user's emotional information obtained from the emotion engine. For example, the server searches for plans based on the following conditions:

[1563] Destination: Kyoto, Japan

[1564] Activity: Viewing autumn leaves

[1565] Period: Mid-October

[1566] Budget: Under 100,000 yen

[1567] User's emotional state: Relaxed or Enjoyed

[1568] When multiple travel plans are searched, the server evaluates the plan that best suits the user's needs and emotions, taking into account the emotional information generated by the emotion engine. The evaluation criteria include the user's past travel history, reviews, and detailed plan information.

[1569] 5. Presenting your travel plans

[1570] The evaluated and selected travel plans are sent from the server to the user's device and presented to the user. The user can review the plans presented through the device and select the plan that best suits their needs.

[1571] 6. Coordination with local guides and schedule adjustments

[1572] Based on the travel plan selected by the user, the server connects to the local guide database and searches for local guides who can speak Japanese. Guides are searched for using the following conditions:

[1573] Applicable area: Kyoto

[1574] Guide language skills: Japanese

[1575] Guide availability: According to the planned dates

[1576] The server coordinates the selected guide's schedule with the user's, matching their schedules, ensuring on-site support.

[1577] 7. Finalizing and notifying travel plans

[1578] The server puts together a final itinerary and sends it to the user's device. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. The server then notifies the local guide of the approved itinerary. The local guide receives the user's contact information, planned places to visit, schedule, and other details, and makes the necessary preparations.

[1579] As described above, the system of the present invention provides an integrated set of functions to help users plan their trips smoothly. Furthermore, by combining it with an emotion engine, it is possible to provide optimal travel plans based on the user's emotions and preferences, resulting in a more satisfying trip.

[1580] The processing flow will be explained below.

[1581] Step 1:

[1582] The user inputs their travel needs through the interface, for example, "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen."

[1583] Step 2:

[1584] The device sends the entered travel request in JSON format to the server.

[1585] Step 3:

[1586] The server receives the request data sent from the terminal.

[1587] Step 4:

[1588] The server analyzes the received data and extracts elements such as travel destination, desired activities, travel duration, and budget.

[1589] Step 5:

[1590] The emotion engine analyzes the video and audio data sent from the device to recognize the user's emotions, such as whether they are relaxed, excited, or stressed by analyzing their voice tone and facial expressions when entering their travel requests.

[1591] Step 6:

[1592] The server searches for relevant travel plans from the database based on the analysis results and the emotion data generated by the emotion engine. For example, the server searches for plans based on the following criteria:

[1593] Destination: Kyoto, Japan

[1594] Activity: Viewing autumn leaves

[1595] Period: Mid-October

[1596] Budget: Under 100,000 yen

[1597] Emotional data: The user wants to relax and have fun

[1598] Step 7:

[1599] The server evaluates the search results and selects the plan that best suits the user's needs and emotions. The evaluation criteria include the user's past travel history, review ratings, and detailed plan information.

[1600] Step 8:

[1601] The server sends the selected travel plan to the terminal and presents it to the user, including details of the destinations, fees, dates, included services, etc.

[1602] Step 9:

[1603] The user reviews the plans presented and selects the one they like best.

[1604] Step 10:

[1605] The terminal transmits the selected plan information to the server.

[1606] Step 11:

[1607] The server will search for Japanese-speaking guides based on the selected plan information, linking with the local guide database. Search by the following conditions:

[1608] Applicable area: Kyoto

[1609] Guide language skills: Japanese

[1610] Guide availability: According to the planned dates

[1611] Step 12:

[1612] The server selects an appropriate guide from the search results and matches the user's schedule with the guide's availability.

[1613] Step 13:

[1614] The server compiles the final itinerary and sends it to the terminal for the user to review. The itinerary includes details of the places to visit, fees, itinerary, guide information, contact details, etc.

[1615] Step 14:

[1616] The user reviews and approves the travel plans.

[1617] Step 15:

[1618] The terminal notifies the server of the approval.

[1619] Step 16:

[1620] The server then notifies the local guide of the final itinerary and user information, providing the guide with details such as the user's contact details, planned visits, and schedule.

[1621] The above are the specific processing steps of the travel planning system of the present invention, which allows users to find the best travel plan based on their needs and emotions, and also provides on-site Japanese support.

[1622] Example 2

[1623] 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."

[1624] Conventional travel planning systems have difficulty providing optimal travel plans based on the user's emotions and preferences, and often do not smoothly select travel plans or collaborate with local guides. Furthermore, because they do not take the user's emotional state into consideration, it is difficult to create travel plans that are highly satisfying.

[1625] 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.

[1626] In this invention, the server includes means for a user to input travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, means for recognizing an emotional state and adding that information to the analyzed travel requests, means for evaluating the searched travel plans and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for coordinating with a local guide based on the travel plan selected by the user, means for matching a schedule with the local guide through the coordination, means for finalizing the travel plan and notifying the user terminal, and means for notifying the local guide of the finalized travel plan. This makes it possible to provide a more appropriate travel plan based on the user's emotions and preferences, thereby improving the overall smoothness and satisfaction of the travel planning process.

[1627] A "user terminal" is an electronic device that allows a user to input travel requests and receive travel plans.

[1628] "Travel request data" is information entered by the user, such as the travel destination, desired activities, travel period, budget, etc.

[1629] The "means for receiving and analyzing" is a function by which the server receives the travel request data sent from the user terminal and analyzes it in a way that makes the meaning understandable.

[1630] The "means for searching travel plans" is a function that allows the server to find an appropriate travel plan from the database based on the analyzed travel request data.

[1631] The "means for recognizing emotional state" is a function that analyzes the user's video and audio data and identifies the user's emotional state.

[1632] The "means for evaluating and selecting an appropriate plan" is a function that selects the most suitable travel plan from among multiple searched travel plans based on the user's emotional state, past travel history, etc.

[1633] "Presenting means" is a function that allows the server to display the selected travel plan on the user's terminal.

[1634] "Means for linking with local guides" is a function in which the server links with a local guide database based on the travel plan selected by the user and searches for an appropriate local guide.

[1635] "Means for matching schedules" refers to a function in which the server coordinates the schedules of the selected local guide and the user to align their schedules.

[1636] The "means for finalizing and notifying" is a function in which the server notifies the user terminal of the finalized travel plan and receives the user's approval.

[1637] "Means of notification" refers to the function of communicating details of the approved travel plan to the local guide.

[1638] The "means for searching for a guide based on language" is a function that allows the server to find an appropriate guide based on the language skills of the local guide.

[1639] This invention is a system designed to solve the problems travelers face when planning trips, and by combining it with an emotion engine, it provides optimal travel plans based on the user's emotions and preferences. This system is composed of a user terminal, a server, and an emotion engine.

[1640] The user first inputs their travel requirements through the interface. The terminal is equipped with a form for inputting the travel destination, itinerary, budget, desired activities, etc. For example, the user might input requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends this input travel requirement data to the server.

[1641] The transmitted data is received by the server. The server analyzes the received data using a generative AI model to extract each element of the travel request (destination, activities, duration, budget, etc.). This clarifies the user's specific needs. The server also receives video and audio data when the user inputs their request and analyzes it through an emotion engine. The emotion engine recognizes the user's emotional state (relaxed, excited, stressed, etc.) through voice tone and facial expression analysis.

[1642] The server searches for a corresponding travel plan from the database based on the analyzed travel request data and the emotion information recognized by the emotion engine. For example, the server searches for a travel plan with the following conditions:

[1643] Destination: Kyoto, Japan

[1644] Activity: Viewing autumn leaves

[1645] Period: Mid-October

[1646] Budget: Under 100,000 yen

[1647] User's emotional state: Relaxed or Enjoyed

[1648] When multiple travel plans are searched, the server evaluates them and selects the most suitable plan. Evaluation criteria include the user's past travel history, reviews, and detailed plan information. The selected travel plan is sent from the server to the user's device and presented to the user.

[1649] The user can review the proposed itineraries and choose the one that best suits their needs. Based on the itinerary selected by the user, the server connects to the local guide database. The server searches for local guides using the following criteria:

[1650] Applicable area: Kyoto

[1651] Guide language skills: Japanese

[1652] Guide availability: According to the planned dates

[1653] The server coordinates the selected local guide's schedule with the user's and matches the schedule. This information is sent back to the user's device. The final travel plan is compiled by the server and sent to the user's device. The travel plan includes details of the places to visit, fees, itinerary, guide information, contact information, etc. The user reviews and approves the final plan. The server notifies the local guide of the approved travel plan. The local guide receives detailed information such as the user's contact information, planned places to visit, and schedule, and makes the necessary preparations.

[1654] As an example, the following prompt sentence can be used:

[1655] "I'd like to visit Kyoto in mid-October to relax and enjoy the beautiful autumn leaves. My accommodation budget is under 10,000 yen per night. Please suggest a plan that includes Kyoto's recommended tourist attractions."

[1656] In this way, the system of the present invention provides an integrated range of functions to help users smoothly plan their trips, and is capable of providing optimal travel plans based on the user's feelings and preferences.

[1657] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1658] Step 1:

[1659] The user uses an interface on the terminal to input their travel requests. The user inputs the travel destination, schedule, budget, activities, etc. into a form. For example, the user might input requests such as "I want to go to Kyoto, Japan," "I want to see the autumn leaves," "I'm planning a trip in mid-October," and "My budget is within 100,000 yen." The terminal then sends this request data to the server.

[1660] Step 2:

[1661] The server receives the request data sent from the device. The received request data is analyzed using a generative AI model to extract elements such as destination, activity, duration, and budget. The extracted elements are the output, and this data is used for subsequent processing.

[1662] Step 3:

[1663] The server simultaneously receives video and audio data as the user inputs their requests. The server uses an emotion engine to analyze the video and audio data and recognize the user's emotional state. This recognized emotional information is added to the travel request data analyzed by the server using a generative AI model. This clarifies the user's emotional state.

[1664] Step 4:

[1665] The server searches for relevant travel plans from the database based on the analyzed travel request data and the emotional information recognized by the emotion engine. The analysis results and emotional information are used as input, and the server searches for travel plans based on the following conditions:

[1666] Destination: Kyoto, Japan

[1667] Activity: Viewing autumn leaves

[1668] Period: Mid-October

[1669] Budget: Under 100,000 yen

[1670] User's emotional state: Relaxed or Enjoyed

[1671] The retrieved itinerary is generated as output.

[1672] Step 5:

[1673] The server evaluates the searched travel plans and selects the most suitable one. Evaluation criteria include the user's past travel history, reviews, and plan details. The searched travel plans and the user's past history are used as input, and the optimal travel plan is generated as output.

[1674] Step 6:

[1675] The server sends the selected travel plan to the user's terminal. The user reviews the travel plans presented on the terminal and selects the plan that best suits their needs. In this process, the travel plan sent from the server becomes input data, and the user's selection is generated as output.

[1676] Step 7:

[1677] The server connects to a local guide database based on the travel plan selected by the user. The server searches for local guides using the following criteria:

[1678] Applicable area: Kyoto

[1679] Guide language skills: Japanese

[1680] Guide availability: According to the planned dates

[1681] The search results are used to match schedules, which allows the server to search for local guides and adjust schedules.

[1682] Step 8:

[1683] The server compiles the final itinerary and sends it to the user's device. This itinerary includes details of destinations, fees, itinerary, guide information, contact information, etc. The user then reviews and approves the final itinerary. In this process, the compiled itinerary is the input data and the user's approval is the output.

[1684] Step 9:

[1685] The server then notifies the local guide of the final approved travel plan. The local guide receives detailed information such as the user's contact information, planned visits, and schedule, and makes the necessary preparations. The notified plan information becomes input data, and the local guide's preparation status is generated as output.

[1686] (Application example 2)

[1687] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1688] Modern travelers must process a lot of information when planning a trip, and choosing the right plan takes time and effort. It's also difficult to select a plan based on the traveler's emotions and preferences. This can lead to an unsatisfactory travel experience. Another issue is the time and effort required to coordinate the selected plan with a local guide.

[1689] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting travel requests through an interface, means for receiving and analyzing the input travel request data, means for searching for travel plans based on the analyzed requests, and means for evaluating the searched travel plans and selecting an appropriate plan taking the user's emotional state into consideration. This makes it possible to provide optimal travel plans based on the traveler's emotions and preferences.

[1690] "Travel requests" refer to the traveler's desired destination, schedule, budget, activities, and other details.

[1691] An "interface" refers to a screen or device through which a user inputs data.

[1692] "Receiving" refers to the travel request data being sent from the terminal to the server and then being retrieved.

[1693] "Analysis" refers to breaking down the input travel request data and understanding and interpreting its contents in detail.

[1694] "Search" refers to the process of identifying suitable travel plans from the database based on the analysis results.

[1695] "Evaluation" refers to the act of comparing multiple travel plans found and selecting the plan that best suits the user's conditions and emotional state.

[1696] "Emotional state" refers to the psychological state of the user when inputting their travel request, and is analyzed from voice and facial expression data.

[1697] "User terminal" refers to a device operated by a user, such as a personal computer, smartphone, or tablet.

[1698] A "local guide" refers to a guide who is responsible for showing the user around the travel destination.

[1699] "Schedule matching" refers to coordinating the free time of the user and the local guide based on the travel plan.

[1700] The "final travel plan" refers to the travel schedule and details that are finalized according to the user's wishes and conditions.

[1701] "Image capture device" refers to a device that captures the user's facial expression, such as a camera installed on a counter.

[1702] The term "voice recording device" refers to a device such as a microphone for collecting user voice data.

[1703] The present invention is a system for enabling travelers to plan their trips efficiently and with high satisfaction. To realize this application example, the system is composed of the following elements:

[1704] System Overview

[1705] Hardware

[1706] 1. User device: Use a tablet device, smart glasses, smartphone, etc.

[1707] 2. Image capture device: A camera installed on the counter is used to capture the user's facial expression data.

[1708] 3. Voice recording device: Uses a microphone to capture the user's voice data.

[1709] software

[1710] 1. Emotion Recognition Module (emotion_recognition_module): Recognizes user emotions based on voice tone and facial expression analysis.

[1711] 2. Travel Planning Module (travel_planning_module): Searches and evaluates optimal travel plans based on travel desire data and sentiment data.

[1712] 3. Guide Matching Module (guide_matching_module): Coordinates the schedule of a local guide based on the travel plan.

[1713] 4. Data Interface (data_interface): Inputs, analyzes, and presents travel request data, and notifies the final plan.

[1714] Processing flow

[1715] Travelers input their travel request data through a user terminal. The input data is sent to the server via a data interface. The server analyzes the received data and extracts the content of the request. Next, the user's video and audio data captured by an image capture device and audio recorder installed at the counter are analyzed by an emotion recognition module to recognize the user's emotional state.

[1716] The travel planning module searches the database for relevant travel plans based on the analysis results and emotion data. When an optimal plan is found, the server presents it to the user's device. After the user selects a plan, the guide matching module coordinates the schedule with a local guide.

[1717] Specific examples

[1718] For example, suppose a user enters travel requests such as "Trip to Kyoto," "Mid-October," "Viewing autumn leaves," and "Budget within 100,000 yen" into a tablet device at a travel agency counter. This data is sent to a server for analysis. At the same time, image capture and voice recording devices collect the user's emotional data, and the user is recognized as being in a relaxed state.

[1719] The server then searches for multiple travel plans based on this information and prioritizes plans that emphasize relaxation. For example, the following plans may be suggested:

[1720] Destination: Kyoto

[1721] Dates: October 15th-20th

[1722] Activities: Autumn foliage viewing, traditional tea ceremony experience

[1723] Budget: 80,000 yen

[1724] Example prompt sentence:

[1725] User: I'd like to go on a trip to Kyoto. I'd like to travel in mid-October, stay within 100,000 yen, and see the autumn leaves.

[1726] Server: Thank you. We're searching for the best itinerary based on your request.

[1727] <Emotion recognition result: Relaxed>

[1728] Server: We'll create a travel plan that best suits your needs and your current emotional state. How about this plan?

[1729] Destination: Kyoto

[1730] Dates: October 15th-20th

[1731] Activities: Autumn foliage viewing, traditional tea ceremony experience

[1732] Budget: 80,000 yen

[1733] In this way, it is possible to provide optimal travel plans in real time based on the user's input and emotional state.

[1734] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1735] Step 1:

[1736] The user inputs travel request data (destination, itinerary, budget, desired activities, etc.) into the terminal through the interface. The input data is sent to the server using the data interface. The input data may include video and audio data for capturing the user's voice and facial expressions.

[1737] Input: Travel destination, dates, budget, desired activities

[1738] Output: Travel request data sent to the server

[1739] Step 2:

[1740] The server analyzes the received travel request data. During the analysis process, each element (destination, schedule, budget, activity) is extracted from the data and converted into the required format.

[1741] Input: Travel request data

[1742] Output: Each element of the parsed travel request

[1743] Step 3:

[1744] The server inputs the user's video and audio data acquired through the image capture device and audio recorder into the emotion recognition module to recognize the user's emotional state. The emotion recognition module performs facial expression analysis and audio analysis to identify the user's emotions (relaxed, anxious, excited, etc.).

[1745] Input: Video data, audio data

[1746] Output: Perceived emotional state

[1747] Step 4:

[1748] The server searches the database for relevant travel plans based on the analysis results and the user's emotional state. The search uses the user's request data and emotional data. If multiple plans are found, they are evaluated based on the emotional data and the most suitable plan is selected.

[1749] Input: Analyzed travel request elements, emotional state data

[1750] Output: Optimal travel plan

[1751] Step 5:

[1752] The server presents the optimal travel plan to the user terminal, which displays the presented plan to the user and provides options for confirmation and selection.

[1753] Input: Best Travel Plan

[1754] Output: A travel plan presented to the user

[1755] Step 6:

[1756] After the user selects a travel plan, the server uses the guide matching module to coordinate and schedule with a local guide. It searches the database for the guide's availability and language capabilities, and matches the user's schedule with the guide's schedule.

[1757] Input: Selected travel plan

[1758] Output: Matched local guides

[1759] Step 7:

[1760] The server then finalizes the itinerary and notifies the user's device, along with the local guide, with a detailed schedule, contact information, and details of the places to be visited.

[1761] Input: Matched local guide, selected itinerary

[1762] Output: Final itinerary sent to user device and local guide

[1763] Through the above steps, the user can select the optimal travel plan based on their own emotional state and desires, and create an efficient and satisfying travel plan.

[1764] 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.

[1765] 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.

[1766] 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.

[1767] 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.

[1768] 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.

[1769] 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.

[1770] 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).

[1771] 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.

[1772] 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."

[1773] 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.

[1774] 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).

[1775] 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.

[1776] 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.

[1777] 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.

[1778] 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.

[1779] 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.

[1780] 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.

[1781] 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.

[1782] 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.

[1783] 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.

[1784] 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.

[1785] The following is further disclosed regarding the above embodiment.

[1786] (Claim 1)

[1787] means for inputting travel requirements through an interface;

[1788] means for receiving and analyzing the input travel request data;

[1789] A means for searching for travel plans based on the analyzed needs;

[1790] means for evaluating the searched travel plans and selecting an appropriate plan;

[1791] means for presenting the selected travel plan to a user terminal;

[1792] A means for connecting with local guides based on a travel plan selected by the user;

[1793] A means for matching schedules with local guides through the above collaboration;

[1794] A means for finalizing the travel plan and notifying the user terminal;

[1795] a means for notifying a local guide of the confirmed travel plan;

[1796] A system including:

[1797] (Claim 2)

[1798] The system according to claim 1, wherein the local guide includes a means for searching for a guide who can speak Japanese.

[1799] (Claim 3)

[1800] 2. The system of claim 1, wherein the travel desire data includes a destination, desired activities, travel duration, and budget.

[1801] "Example 1"

[1802] (Claim 1)

[1803] means for a user to input travel requirements through an interface;

[1804] means for receiving and analyzing the input travel request data;

[1805] A means for searching for travel plans based on the analyzed needs;

[1806] means for evaluating the searched travel plans and selecting an appropriate plan;

[1807] means for presenting the selected travel plan to a user terminal;

[1808] A means for coordinating with a local guide based on a travel plan selected by the user;

[1809] A means for matching schedules with local guides through the above-mentioned collaboration;

[1810] A means for finalizing the travel plan and notifying the user terminal;

[1811] means for notifying a local guide of the confirmed travel plan;

[1812] A means for storing detailed information of the travel plan generated based on the user's travel requests from the server in a database and keeping it in a state where the user can refer to it as needed;

[1813] A system including:

[1814] (Claim 2)

[1815] 2. The system according to claim 1, further comprising means for searching for a guide who can speak a specified language among the local guides.

[1816] (Claim 3)

[1817] 2. The system of claim 1, wherein the travel desire data includes a destination, desired activities, travel duration, and budget.

[1818] "Application Example 1"

[1819] (Claim 1)

[1820] means for inputting travel requirements through an interface;

[1821] means for receiving and analyzing the input travel request data;

[1822] A means for searching for travel plans based on the analyzed needs;

[1823] means for evaluating the searched travel plans and selecting an appropriate plan;

[1824] means for presenting the selected travel plan to a user terminal;

[1825] A means for connecting with local guides based on a travel plan selected by the user;

[1826] A means for matching schedules with local guides through the above collaboration;

[1827] A means for finalizing the travel plan and notifying the user terminal;

[1828] a means for notifying a local guide of the confirmed travel plan;

[1829] A means for a user to plan a trip while experiencing a travel destination in a virtual environment;

[1830] A means for cooperating with a device for generating a virtual environment on a user's terminal;

[1831] A system including:

[1832] (Claim 2)

[1833] The system according to claim 1, wherein the local guide includes a means for searching for a guide who can speak Japanese.

[1834] (Claim 3)

[1835] 2. The system of claim 1, wherein the travel desire data includes a destination, desired activities, travel duration, and budget.

[1836] "Example 2: Combining Emotion Engines"

[1837] (Claim 1)

[1838] means for a user to input travel requirements through an interface;

[1839] means for receiving and analyzing the input travel request data;

[1840] A means for searching for travel plans based on the analyzed needs;

[1841] means for recognizing emotional states and adding that information to the analyzed travel requests;

[1842] means for evaluating the searched travel plans and selecting an appropriate plan;

[1843] means for presenting the selected travel plan to a user terminal;

[1844] A means for connecting with local guides based on a travel plan selected by the user;

[1845] A means for matching schedules with local guides through the above collaboration;

[1846] A means for finalizing the travel plan and notifying the user terminal;

[1847] a means for notifying a local guide of the confirmed travel plan;

[1848] A system including:

[1849] (Claim 2)

[1850] 10. The system of claim 1, further comprising means for searching for local guides based on the languages ​​they speak.

[1851] (Claim 3)

[1852] 2. The system of claim 1, wherein the travel desire data includes a destination, desired activities, travel duration, and budget.

[1853] "Application example 2 when combining emotion engines"

[1854] (Claim 1)

[1855] means for inputting travel requirements through an interface;

[1856] means for receiving and analyzing the input travel request data;

[1857] A means for searching for travel plans based on the analyzed needs;

[1858] means for evaluating the searched travel plans and selecting an appropriate plan taking into account the emotional state of the user;

[1859] means for presenting the selected travel plan to a user terminal;

[1860] A means for connecting with local guides based on a travel plan selected by the user;

[1861] A means for matching schedules with local guides through the above collaboration;

[1862] A means for finalizing the travel plan and notifying the user terminal;

[1863] a means for notifying a local guide of the confirmed travel plan;

[1864] means for detecting the user's emotional state using an image capture device and a voice recording device installed at the travel counter, and using the result to evaluate the travel plan;

[1865] A system including:

[1866] (Claim 2)

[1867] The system according to claim 1, wherein the local guide includes a means for searching for a guide who can speak multiple languages.

[1868] (Claim 3)

[1869] 10. The system of claim 1, wherein the travel desire data includes a destination, desired activities, travel duration, budget, and a detected emotional state. [Explanation of symbols]

[1870] 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. means for inputting travel requirements through an interface; means for receiving and analyzing the input travel request data; A means for searching for travel plans based on the analyzed needs; means for evaluating the searched travel plans and selecting an appropriate plan; means for presenting the selected travel plan to a user terminal; A means for connecting with local guides based on a travel plan selected by the user; A means for matching schedules with local guides through the above collaboration; A means for finalizing the travel plan and notifying the user terminal; a means for notifying a local guide of the confirmed travel plan; A system including:

2. 2. The system according to claim 1, wherein the local guide includes a means for searching for a guide who can speak Japanese.

3. The system of claim 1 , wherein the travel desire data includes a destination, desired activities, travel duration, and budget.

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