system

Abstract

We provide the system. [Solution] A means of generating the optimal travel plan based on conditions entered by travelers, A means of collecting local tourism information by utilizing information from local governments and facilities, A means of automatically making reservations for accommodations and leisure facilities based on the generated travel plan, A means for displaying travel plans and reservation information on a user terminal, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 Modern travelers have the problem that they need to spend a lot of time and effort in efficiently making travel plans and selecting and reserving appropriate accommodation and leisure facilities in their busy lives. Also, due to the limited information provided, they have the problem that they cannot fully utilize the local attractions and hidden tourist spots. In such a situation, there is a need for a system that allows travelers to easily enjoy a highly satisfactory travel experience and easily realize a plan that suits their needs. 【Means for Solving the Problems】 【0005】 This invention provides a system that automatically generates an optimal travel plan based on conditions entered by the traveler. This system utilizes information from local governments and facilities to collect diverse tourism information, thereby expanding the variety of travel plans available. Furthermore, it has a function to automatically make reservations for accommodations and leisure facilities based on the generated plan. This allows travelers to efficiently complete arrangements and achieve a highly satisfying trip. Additionally, by setting efficient travel routes based on the user's interests, it enhances the overall travel experience. 【0006】 A "travel plan" is a comprehensive plan that encompasses all itineraries and activities created by a traveler based on conditions such as destination, dates, and budget. 【0007】 A "local government" refers to a local public entity that performs administrative functions in a specific region and is the entity that provides local tourism information and facility information. 【0008】 "Accommodation facilities" refer to facilities such as hotels, inns, and guesthouses that travelers use for their stay. 【0009】 "Leisure facilities" refer to entertainment facilities such as theme parks and museums that travelers visit for sightseeing and recreational purposes. 【0010】 A "travel route" refers to the route that a traveler takes, including the means of transportation and the order in which they travel between destinations. 【0011】 "User terminal" refers to electronic devices such as computers, smartphones, and tablets that travelers use to access the system. 【0012】 "Reservation information" refers to detailed information regarding the use of accommodations and leisure facilities secured based on the travel plan. [Brief explanation of the drawing] 【0013】 [Figure 1]This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0014】 Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings. 【0015】 First, the terms used in the following description will be explained. 【0016】 In the following embodiments, a tagged processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0017】 In the following embodiments, a tagged RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0018】 In the following embodiments, a tagged storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like. 【0019】 In the following embodiments, a tagged communication I / F (Interface) is an interface including a communication processor and 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), or Bluetooth (registered trademark), and the like. 【0020】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0021】 [First Embodiment] 【0022】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0023】 As shown in Figure 1, the 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. 【0024】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0025】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0026】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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. 【0027】 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0028】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0029】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0030】 As shown in Figure 2, in the data processing device 12, specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30. 【0031】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0032】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0033】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0034】 This invention relates to a system that enables travelers to plan their trips efficiently and quickly. The system begins when the traveler inputs travel details. The user enters their destination, travel dates, budget, and activities of interest into a form on the terminal. Once these details are sent to the server, the server retrieves relevant information from a database. The database includes tourist information provided by local governments, as well as detailed information on accommodations and leisure facilities. 【0035】 Based on the collected information, the server generates a travel plan best suited to the traveler's needs. This generation process utilizes an algorithm that calculates the optimal route within the user's budget and considers the efficiency of travel between each destination. The server then sends the created "travel itinerary" to the user's terminal, displaying the detailed itinerary. 【0036】 The user reviews the bookmark, and if they are satisfied with the proposed plan, they approve the reservation of accommodation or leisure facilities in the system. Once this approval is received by the server, the server automatically uses the group company's reservation system to make the reservation. This eliminates the user's manual reservation process, ensuring all arrangements are made smoothly. 【0037】 For example, if a user plans a 3-night, 4-day trip from Tokyo to Kyoto, the system will suggest accommodations related to major tourist attractions in Kyoto. It will create an itinerary including attractions such as Toji Temple and Kinkakuji Temple, and select a suitable hotel within the user's budget. Based on this plan, restaurant reservations and special tours can also be automatically incorporated. 【0038】 In this way, the system automates bookings while offering a wide range of options based on the traveler's preferences, significantly simplifying travel planning and improving satisfaction. 【0039】 The following describes the processing flow. 【0040】 Step 1: 【0041】 The user enters travel details (departure point, destination, travel dates, budget, and activities of interest) into the device. The device then sends these details to the server. 【0042】 Step 2: 【0043】 Based on the received travel conditions, the server consults databases of relevant municipalities and partner facilities to retrieve necessary tourist and facility information. During this process, it filters potential destinations and options to match the user's interests and budget. 【0044】 Step 3: 【0045】 The server analyzes and combines the collected information to generate an optimal travel plan. This plan includes sightseeing destinations, accommodations, and transportation options. It also considers the best route and schedule to meet the user's requirements. 【0046】 Step 4: 【0047】 The server sends the created "travel itinerary" to the user's device. The device displays the received content to the user, allowing them to confirm the details of their travel plan. 【0048】 Step 5: 【0049】 The user decides whether to approve the booking based on the presented travel plan. If approved, the device sends that information back to the server. 【0050】 Step 6: 【0051】 Upon receiving user approval, the server automatically makes reservations for accommodations and leisure facilities using the group company's reservation system. Once the reservation is complete, the server sends confirmation information to the user. 【0052】 Step 7: 【0053】 The device notifies the user of confirmation that the reservation is complete. The user can then check their confirmed travel plan and reservation details on the device. 【0054】 (Example 1) 【0055】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0056】 Modern travelers need to plan their trips considering multiple factors, including diverse destinations, tourist information, and budget constraints. However, manually researching these factors and creating an optimal schedule is time-consuming and laborious. Furthermore, manually making reservations for individual facilities is inefficient and prone to errors. Thus, there is a need to reduce the complexity of travel planning and booking, and to complete travel plans efficiently. 【0057】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0058】 In this invention, the server includes means for receiving conditions entered by the traveler from a terminal, means for searching a database and obtaining relevant information based on those conditions, and means for generating a travel plan based on the obtained information, taking into account the user's budget and travel efficiency. This allows travelers to create travel plans smoothly and without hassle. Furthermore, the entire process can be efficiently managed by automatically making reservations for accommodations and leisure facilities based on the generated travel plan and displaying the travel plan and reservation information on the user terminal. 【0059】 A "traveler" refers to an individual seeking information and services for the purpose of travel. 【0060】 "Conditions" refers to information that travelers consider when planning their trip, including destination, dates, budget, and activities of interest. 【0061】 A "terminal" refers to a device that travelers use to input and receive information, such as a smartphone or computer. 【0062】 A "server" refers to a computer system that processes information received from travelers and generates plans and provides information. 【0063】 A "database" refers to an information system that stores tourist information and facility information, allowing a server to retrieve the information by performing queries. 【0064】 A "travel plan" refers to a set of suggested destinations, schedules, and accommodations generated by the server based on the traveler's preferences. 【0065】 "Travel efficiency" refers to an indicator that optimizes the time and cost required for travel between each destination in a traveler's itinerary. 【0066】 "Reservation" refers to the process of securing accommodation or leisure facilities in advance. 【0067】 "Display" refers to the act of visually providing travel plans and reservation information to the user's device. 【0068】 This invention is a system that enables travelers to efficiently plan their trips. Based on the traveler's conditions, it can provide appropriate information and automatically handle the booking process. 【0069】 The user enters their travel plan requirements into an input form on the terminal. The terminal accepts information such as destination, dates, budget, and activities of interest. This information is transmitted to the server via the internet. The server queries a database based on the received information. This database contains tourist information, accommodation information, and leisure facility information provided by local governments and partner organizations. 【0070】 The server uses a generative AI model to generate an optimal travel plan that meets the user's requirements. In doing so, it selects routes and accommodations while considering travel efficiency within the user's budget. Once the plan is generated, the server sends the information to the user's device and displays the travel plan. Furthermore, if the user approves the plan, the server automatically completes the reservations for accommodations and leisure facilities. 【0071】 As a concrete example, let's consider a user who inputs, "I want to take a 3-night, 4-day trip to Kyoto." The server, referring to the database, creates an itinerary that includes major Kyoto tourist attractions such as Kinkaku-ji Temple and To-ji Temple. Furthermore, it generates a plan that combines suitable accommodations within the user's budget with a travel schedule. This plan may also include additional elements such as "restaurant reservations near tourist attractions" or "special cultural experience tours." An example of a prompt statement to pass to the generating AI model for this process is shown below. 【0072】 Example of a prompt: 【0073】 "My travel destination is Kyoto, the itinerary is 3 nights and 4 days, the budget is under 100,000 yen, and I'm interested in visiting historical sites. Please create a recommended itinerary." 【0074】 This invention allows travelers to significantly reduce the cumbersome planning and booking process, enabling them to enjoy a high-quality travel experience. 【0075】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0076】 Step 1: 【0077】 The user uses their device to input travel details such as destination, travel dates, budget, and preferred activities. After completing this input, pressing the submit button sends the data to the server. The server receives this input data as basic information for the travel plan. 【0078】 Step 2: 【0079】 The server searches the database based on the received conditions to retrieve relevant information. Specifically, it queries a database containing tourism information, accommodation information, and leisure facility information provided by local governments. As a result of the database search, it extracts tourist destinations and facility information that match the user's travel conditions. 【0080】 Step 3: 【0081】 The server generates a travel plan using the acquired information and user input conditions. Using a generation AI model, it creates an optimal itinerary that considers travel efficiency within the budget. This process involves selecting tourist destinations and accommodations, ultimately generating travel plan data. 【0082】 Step 4: 【0083】 The server sends the generated travel plan to the user's device. The device receives this information and displays the travel plan on the user interface. Here, the planned tourist destinations, accommodations, and travel schedule are visually presented, allowing the user to review the details. 【0084】 Step 5: 【0085】 The user reviews the travel plan presented on their device and approves the proposed content. Once the approval is complete, that information is sent back to the server. At this point, the user's consent is obtained. 【0086】 Step 6: 【0087】 The server receives authorization information from the user and automatically starts the booking process. Specifically, it accesses the booking systems for accommodations and leisure facilities and completes the necessary reservations. This ensures that travel arrangements are made and the booking information is recorded on the server. 【0088】 Step 7: 【0089】 The server sends the completed reservation information to the user's terminal. The terminal receives this information and displays the reservation confirmation to the user. This allows the user to finally confirm their travel plans and reservation status. 【0090】 (Application Example 1) 【0091】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0092】 When travelers plan their trips, the process of gathering information and making reservations is often cumbersome, and managing payments throughout the trip is a separate, individual task. This makes efficient travel planning and execution difficult. As a result, travelers often spend a lot of time and effort on their trips, which can lead to decreased satisfaction. 【0093】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0094】 In this invention, the server includes means for generating an optimal travel plan based on conditions entered by the traveler, means for collecting local tourism information by utilizing information from local governments and facilities, and means for managing electronic payments within a predetermined range and executing payment procedures based on the travel plan. This allows travelers to efficiently plan their trips within a single system, further simplifying procedures and enabling centralized management of payments during the itinerary. 【0095】 A "traveler" is someone who travels and is the one who plans their itinerary and destinations. 【0096】 "A means of generating the optimal travel plan based on conditions" refers to a function that creates an optimized itinerary based on the destination, dates, budget, and activities of interest entered by the traveler. 【0097】 "Means of collecting local tourism information by utilizing information from local governments and facilities" refers to a system that uses information obtained from public institutions, accommodations, tourist facilities, etc., to gather detailed tourism information about travel destinations. 【0098】 "Means for automatically making reservations for accommodations and leisure facilities" refers to a mechanism for automatically booking accommodations and selected activities based on a travel plan via a network. 【0099】 "Means for displaying travel plans and reservation information on a user's terminal" refers to means of visually providing the generated travel details and confirmed reservation information to the user's mobile terminal or other device. 【0100】 "A means of managing electronic payments within a specified scope based on a travel plan and executing payment procedures" refers to a process for centrally managing payments for services during travel and smoothly facilitating necessary settlements. 【0101】 A "system" is an integrated set of components, including the various means mentioned above, that collectively supports travelers from planning to execution. 【0102】 To implement this invention, a user terminal for receiving traveler input and a server for processing the information and generating an optimal travel plan are required. The terminal can be a mobile information device such as a smartphone or tablet, from which the user can input their destination, itinerary, budget, and activities of interest. 【0103】 The server retrieves information from a database provided by local governments, accommodations, and leisure facilities based on user input, analyzes it, and generates the optimal travel plan. This platform incorporates algorithms to streamline data processing, particularly focusing on optimizing travel routes and staying within budget. 【0104】 The generated travel plan is displayed on the terminal, allowing the user to review its contents. Once the user is satisfied with and approves the plan, the server automatically executes the booking process and manages electronic payments for accommodations and activities. For example, if a user plans a trip to Kyoto, the itinerary will include accommodation options related to tourist destinations, allowing the user to manage payments in one place. 【0105】 Examples of prompts generated using the AI ​​model include "Suggest the best 3-day Kyoto trip itinerary within my budget" and "Calculate the total cost of the trip." These prompts allow the system to provide the optimal solution tailored to the user's needs. 【0106】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0107】 Step 1: 【0108】 The user enters their travel destination, dates, budget, and preferred activities from their device. This information is sent as a request to the server. This input serves as basic information for planning the trip and provides the server with the criteria to create a suitable travel plan. 【0109】 Step 2: 【0110】 Based on the user's requested conditions, the server retrieves appropriate tourist information from the database. The database includes information on local governments, accommodations, and leisure facilities related to the destination. The server analyzes this information to extract data that meets the conditions and forms the dataset necessary for the next plan generation step. 【0111】 Step 3: 【0112】 Based on the analyzed information, the server generates a travel plan that considers the efficiency of travel and the optimization of the budget. The algorithm used is designed to best meet the user's specified conditions, selecting specific destinations and accommodations, and optimizing modes of transportation. The output of the plan is provided to the user as a document containing a detailed itinerary. 【0113】 Step 4: 【0114】 The user terminal receives the generated travel plan and displays the detailed itinerary to the user. The user can review the plan and request changes if necessary. User actions at this stage include deciding whether to approve the plan or request a recalculation. 【0115】 Step 5: 【0116】 The server, upon receiving user approval, automatically makes reservations for accommodations and activities based on the travel plan. Simultaneously, it manages the electronic payment process and handles the payment of related fees. The server's role here is to ensure smooth and efficient backend processing. 【0117】 Step 6: 【0118】 The user's terminal displays a notification confirming the final booking and payment completion. This allows the user to confirm that their travel arrangements are complete and to prepare for their trip with peace of mind. The output here includes the confirmed booking information and the accompanying electronic receipt. 【0119】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0120】 This invention relates to a travel planning system that combines a traveler's emotions with an emotion engine that recognizes the emotions of travelers. The system begins with the user inputting travel conditions. The user inputs their departure point, destination, travel dates, budget, and activities of interest through a terminal. This information is sent to a server, which generates a travel plan based on it. The emotion engine analyzes the user's responses during input and their reactions to the proposed travel plan to identify the user's emotions. 【0121】 The server incorporates emotional data recognized by the emotion engine into the travel plan. For example, if a user expresses anxiety or dissatisfaction with the proposed plan, the server considers alternatives and proposes a more suitable plan. As a result, a travel plan optimized for the user is created. 【0122】 The generated "travel itinerary," incorporating emotional data, is sent from the server to the user's device. The user reviews the itinerary on their device and makes a final approval. The emotional engine also detects the user's emotions at the time of approval and adjusts the timing and method of sending confirmation information as needed. 【0123】 As a concrete example, suppose a user is planning a trip to Kyoto. If the emotion engine recognizes that the user is unsure about which dates to choose, the server will consider factors such as expected crowd levels at tourist spots and reviews from past travelers, and then propose a more optimal travel itinerary. In this way, the emotion engine can be used to understand the user's potential needs and interests and provide a plan that meets those needs. 【0124】 By incorporating emotion recognition, this system enriches the traveler's experience and enables services tailored to individual emotions. This allows travelers to efficiently obtain travel plans that more accurately fit their needs. 【0125】 The following describes the processing flow. 【0126】 Step 1: 【0127】 The user enters their travel details into the device. These details include departure point, destination, dates, budget, and activities of interest. The device then sends the entered information to the server. 【0128】 Step 2: 【0129】 The server collects relevant travel information from its database based on the information it receives. This includes tourism data and accommodation options obtained from local governments. The server then uses the accumulated data to generate a base for travel planning. 【0130】 Step 3: 【0131】 The emotion engine monitors user input and device actions to analyze the user's emotional state. For example, it can determine whether the user is finding something amusing or stressful. 【0132】 Step 4: 【0133】 The server adjusts the initially proposed travel plan, taking into account the analysis results from the emotion engine. Based on the emotion data, it changes the order of activities or adds more interesting options. 【0134】 Step 5: 【0135】 A personalized "travel itinerary" reflecting the user's emotions is displayed on the user's device. The user can then review the details and decide whether to proceed with the booking. 【0136】 Step 6: 【0137】 Once the user approves the travel plan, the device sends the information back to the server. The server then automatically makes reservations for accommodations and activities using the group company's reservation system. 【0138】 Step 7: 【0139】 Once the reservation is complete, the server notifies the user. The user's device displays final confirmation information and provides details of the reservation. The server also uses an emotion engine to perform confirmation at appropriate times. 【0140】 (Example 2) 【0141】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0142】 When planning a trip, it's often difficult to fully consider the individual traveler's feelings and potential needs, resulting in the provision of only standard itineraries. Furthermore, there's the challenge of flexibly modifying plans in response to changes in circumstances or feelings during the trip. Additionally, a lack of timely and appropriate communication regarding booking and confirmation information can be stressful for travelers. A system is needed to address these challenges and provide travelers with the best possible travel experience. 【0143】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0144】 In this invention, the server includes means for generating a travel plan based on conditions entered by the traveler, means for collecting tourism information from external sources, means for determining the traveler's emotions using an emotion analysis engine and adjusting the travel plan accordingly, and means for automatically making reservations at facilities. This enables the generation of an optimal travel plan based on the traveler's input conditions, as well as the provision of flexible and personalized services that respond to emotions. Furthermore, by optimizing and adjusting the timing of reservation processing, a smooth experience that does not cause stress to the user becomes possible. 【0145】 The term "traveler" refers to an individual or group that plans and carries out a trip. 【0146】 "Conditions" refers to information that travelers consider when planning a trip, including factors such as departure point, destination, dates, budget, and activities of interest. 【0147】 A "travel plan" is a schedule created based on the traveler's preferences, including details such as destinations, accommodations, transportation, and activities. 【0148】 "Means" refers to a method or process for achieving a specific objective, in this case, the process for generating, coordinating, or executing a travel plan. 【0149】 "External information" refers to data provided by organizations or individuals, such as local sightseeing information and reviews of tourist destinations, which are necessary for optimizing travel plans. 【0150】 An "emotion analysis engine" is software or an algorithm that analyzes a traveler's emotions and measures their reactions to adjust their travel plan. 【0151】 An "information terminal" refers to a device that displays travel plans and confirmation information and allows travelers to input data, and generally includes smartphones, tablets, or computers. 【0152】 "Reservation processing" refers to a series of procedures for securing accommodations, leisure activities, transportation, and other arrangements in advance for travelers. 【0153】 "Adjusting the timing and method" refers to the process of providing confirmation information at the most appropriate time and in the most appropriate way, based on the results of analyzing travelers' emotions. 【0154】 This invention is a system that generates and adjusts optimal travel plans while taking into account the traveler's emotions. Processing begins when the user inputs travel conditions using a terminal and the server receives this information. The terminal provides an interface for inputting conditions such as departure point, destination, travel dates, budget, and activities of interest. The entered data is transmitted to the server via the internet. 【0155】 The server runs on a high-performance computing system. It incorporates a travel plan generation program and a sentiment analysis engine. The server first generates an initial travel plan using data from travelers. It then utilizes external sources such as the Google® Maps API and travel review site APIs to collect local tourist information and reviews, improving the accuracy of the travel plan. 【0156】 Next, the emotion analysis engine kicks in. This engine is built using machine learning frameworks such as TENSORFLOW® and PyTorch, and detects emotions from the user's text and voice input. Based on the obtained emotion data, it dynamically adjusts the travel plan, taking into account the user's potential needs and desires. 【0157】 The generated plan is sent from the server to the user's device as a "travel itinerary." The device displays the itinerary and provides an interface for the user to review the contents and give final approval. After user approval, the server processes the reservation and sends confirmation information to the device at the optimal time and in the most appropriate manner, taking into account the results of the traveler's sentiment analysis. 【0158】 As a concrete example, consider a user planning a trip to Kyoto. If the sentiment analysis engine detects that the user is hesitant or unsure about their travel plans after entering their itinerary, the server will then suggest a more optimal itinerary, taking into account factors such as expected crowd levels and reviews from past travelers. This kind of emotion-based adjustment improves the quality of the trip. 【0159】 An example of a prompt for a generative AI model could be, "Please suggest the optimal travel plan, taking into account the user's emotions regarding the travel plan." This prompt aims to generate an optimal plan that reflects the user's emotional data. 【0160】 This system allows travelers to quickly receive customized travel plans tailored to their individual needs, enriching their overall travel experience. 【0161】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0162】 Step 1: 【0163】 The user enters travel conditions using a terminal. These conditions include departure point, destination, travel dates, budget, and activities of interest. The terminal receives the entered conditions and formats them as digital data. As output, the user's condition data is sent to a server via the internet. 【0164】 Step 2: 【0165】 The server receives user condition data from the terminal and executes a travel plan generation program. This program utilizes the Google Maps API and APIs from travel review sites to collect information on tourist destinations and facilities from external sources. Based on the input conditions, it creates an initial travel plan and generates a detailed travel plan as output. 【0166】 Step 3: 【0167】 The server runs an emotion analysis engine. It launches machine learning models using TensorFlow and PyTorch to analyze text and voice input from the user. Using user response data as input, it analyzes emotions and identifies emotional states such as "excitement," "anxiety," and "satisfaction" as output. 【0168】 Step 4: 【0169】 The server uses the analyzed sentiment data to adjust the travel plan. For example, if the user expresses anxiety, it generates alternatives, taking into account crowd forecasts and past reviews. In this step, it outputs an optimized travel plan based on the input sentiment state. 【0170】 Step 5: 【0171】 The server generates a customized "travel itinerary" and sends it to the device. This itinerary reflects the user's preferences and includes travel dates, destinations, and activities. The device displays the received itinerary to the user and provides an interface for content review and final approval. 【0172】 Step 6: 【0173】 The user reviews and approves the bookmark via their device. The server receives the approval information, completes the reservation process, and, based on the sentiment analysis results, sends confirmation information to the device at the optimal time and in the most appropriate manner. All output is provided in a way that fits the user's needs. 【0174】 (Application Example 2) 【0175】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0176】 Traditional travel planning systems struggle to adequately consider the individual emotions and preferences of travelers, resulting in a failure to fully meet user needs. Furthermore, there is a need for flexible responses that reflect the emotional state of users in the satisfaction and approval processes for travel plans. 【0177】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0178】 In this invention, the server includes means for generating an optimal travel plan based on conditions entered by the traveler, means for analyzing the user's emotions regarding the selected travel conditions and adjusting the travel plan, and means for presenting alternatives to the travel plan generated by the emotion engine based on the processed emotion data. This makes it possible to provide an optimal travel plan that is tailored to the individual emotional state of the traveler and to improve user satisfaction. 【0179】 "Traveler" refers to an individual or group that plans and carries out a trip. 【0180】 "Conditions" refers to information that travelers enter when planning their trip, such as departure point, destination, dates, budget, and activities of interest. 【0181】 A "travel plan" refers to the overall schedule or program of a trip that is optimized based on the traveler's circumstances. 【0182】 "Information from local governments and facilities" refers to information such as event information, tourist spots, and accommodations provided by local governments and tourist facilities in the travel destination area. 【0183】 An "emotion engine" refers to a technology that analyzes a user's emotions based on their input and responses, and incorporates this into their travel plan. 【0184】 An "alternative plan" refers to a new proposal that includes changes or modifications to the original travel plan, based on the traveler's preferences. 【0185】 A "user terminal" refers to an electronic device used by travelers as an interface for displaying and approving travel plans. 【0186】 "Reservation processing" refers to a series of processes that involve arranging travel planning-related services, including reservations for accommodations and leisure facilities. 【0187】 This invention is a system that provides an optimal travel plan based on the individual emotional state of the traveler. The user inputs travel conditions into a user device such as a smartphone or tablet, and this information is transmitted to a server via the internet. The server first generates an initial travel plan based on the input conditions. This plan generation uses the latest tourism information obtained from local governments and tourist facilities. 【0188】 Next, user input and feedback from the device (e.g., tone of voice, facial expressions) are analyzed by an emotion engine, and the server acquires emotion data. This emotion engine is expected to utilize, for example, OpenAI's emotion analysis API or voice analysis tools. Based on the analysis results, the travel plan is adjusted according to the user's emotional state, and alternative plans are offered if necessary. 【0189】 Finally, the user reviews and approves the adjusted travel plan on their device. Based on the approved plan, the server automatically completes the booking process for accommodations and leisure facilities and sends confirmation information to the user. At this time, the optimal timing and method of sending are adjusted based on the analysis results of the emotion engine. 【0190】 For example, if a user instructs, "I want to go somewhere relaxing next weekend," the server uses a prompt such as "Suggest a travel plan that is perfect for stress relief" to generate an AI model, which then provides customized travel suggestions that reflect the emotion recognition results. In this way, it becomes possible to suggest travel options that fit the individual needs of the traveler. 【0191】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0192】 Step 1: 【0193】 The user enters travel details into the terminal. This information includes departure point, destination, dates, budget, and activities of interest. The terminal sends this information to the server. The output is the travel details data received by the server. 【0194】 Step 2: 【0195】 The server generates an initial travel plan based on the entered travel condition data. The data is processed within the server, utilizing information from local governments and tourist facilities to obtain the necessary data for the plan. The output is the initial travel plan. 【0196】 Step 3: 【0197】 After a plan is generated, the user terminal sends the user's voice instructions and facial expression data to the emotion engine. The emotion engine analyzes this data to detect the user's emotions. The output is the recognized emotion data. 【0198】 Step 4: 【0199】 The server receives emotional data sent from the emotion engine and incorporates it into the initial travel plan. The server then generates prompts using a generative AI model and adjusts the plan. The output is the adjusted travel plan. 【0200】 Step 5: 【0201】 The adjusted travel plan is displayed again on the user's device, and the user reviews the plan. If the device captures user feedback at this time, it is processed as additional sentiment data. The output is the user's feedback and final approval. 【0202】 Step 6: 【0203】 After final approval from the user, the server automatically makes reservations for accommodations and leisure facilities. The server processes these reservation details and sends confirmation information to the user's terminal. The output is reservation confirmation information. 【0204】 Step 7: 【0205】 The server adjusts the timing and method of sending confirmation information based on the final analysis results from the emotion engine. It notifies the user at the optimal time. The output is an optimized notification. 【0206】 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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. 【0207】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0208】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0209】 [Second Embodiment] 【0210】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0211】 As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server. 【0212】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0213】 The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52. 【0214】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0215】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0216】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0217】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0218】 The specific processing program 56 is an example of a "program" relating to the technology of this 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. 【0219】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0220】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0221】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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". 【0222】 This invention relates to a system that enables travelers to plan their trips efficiently and quickly. The system begins when the traveler inputs travel details. The user enters their destination, travel dates, budget, and activities of interest into a form on the terminal. Once these details are sent to the server, the server retrieves relevant information from a database. The database includes tourist information provided by local governments, as well as detailed information on accommodations and leisure facilities. 【0223】 Based on the collected information, the server generates a travel plan best suited to the traveler's needs. This generation process utilizes an algorithm that calculates the optimal route within the user's budget and considers the efficiency of travel between each destination. The server then sends the created "travel itinerary" to the user's terminal, displaying the detailed itinerary. 【0224】 The user reviews the bookmark, and if they are satisfied with the proposed plan, they approve the reservation of accommodation or leisure facilities in the system. Once this approval is received by the server, the server automatically uses the group company's reservation system to make the reservation. This eliminates the user's manual reservation process, ensuring all arrangements are made smoothly. 【0225】 For example, if a user plans a 3-night, 4-day trip from Tokyo to Kyoto, the system will suggest accommodations related to major tourist attractions in Kyoto. It will create an itinerary including attractions such as Toji Temple and Kinkakuji Temple, and select a suitable hotel within the user's budget. Based on this plan, restaurant reservations and special tours can also be automatically incorporated. 【0226】 In this way, the system automates bookings while offering a wide range of options based on the traveler's preferences, significantly simplifying travel planning and improving satisfaction. 【0227】 The following describes the processing flow. 【0228】 Step 1: 【0229】 The user enters travel details (departure point, destination, travel dates, budget, and activities of interest) into the device. The device then sends these details to the server. 【0230】 Step 2: 【0231】 Based on the received travel conditions, the server consults databases of relevant municipalities and partner facilities to retrieve necessary tourist and facility information. During this process, it filters potential destinations and options to match the user's interests and budget. 【0232】 Step 3: 【0233】 The server analyzes and combines the collected information to generate an optimal travel plan. This plan includes sightseeing destinations, accommodations, and transportation options. It also considers the best route and schedule to meet the user's requirements. 【0234】 Step 4: 【0235】 The server sends the created "travel itinerary" to the user's device. The device displays the received content to the user, allowing them to confirm the details of their travel plan. 【0236】 Step 5: 【0237】 The user decides whether to approve the booking based on the presented travel plan. If approved, the device sends that information back to the server. 【0238】 Step 6: 【0239】 Upon receiving user approval, the server automatically makes reservations for accommodations and leisure facilities using the group company's reservation system. Once the reservation is complete, the server sends confirmation information to the user. 【0240】 Step 7: 【0241】 The device notifies the user of confirmation that the reservation is complete. The user can then check their confirmed travel plan and reservation details on the device. 【0242】 (Example 1) 【0243】 Next, we will describe Example 1. 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". 【0244】 Modern travelers need to plan their trips considering multiple factors, including diverse destinations, tourist information, and budget constraints. However, manually researching these factors and creating an optimal schedule is time-consuming and laborious. Furthermore, manually making reservations for individual facilities is inefficient and prone to errors. Thus, there is a need to reduce the complexity of travel planning and booking, and to complete travel plans efficiently. 【0245】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0246】 In this invention, the server includes means for receiving conditions entered by the traveler from a terminal, means for searching a database and obtaining relevant information based on those conditions, and means for generating a travel plan based on the obtained information, taking into account the user's budget and travel efficiency. This allows travelers to create travel plans smoothly and without hassle. Furthermore, the entire process can be efficiently managed by automatically making reservations for accommodations and leisure facilities based on the generated travel plan and displaying the travel plan and reservation information on the user terminal. 【0247】 A "traveler" refers to an individual seeking information and services for the purpose of travel. 【0248】 "Conditions" refers to information that travelers consider when planning their trip, including destination, dates, budget, and activities of interest. 【0249】 A "terminal" refers to a device that travelers use to input and receive information, such as a smartphone or computer. 【0250】 A "server" refers to a computer system that processes information received from travelers and generates plans and provides information. 【0251】 A "database" refers to an information system that stores tourist information and facility information, allowing a server to retrieve the information by performing queries. 【0252】 A "travel plan" refers to a set of suggested destinations, schedules, and accommodations generated by the server based on the traveler's preferences. 【0253】 "Travel efficiency" refers to an indicator that optimizes the time and cost required for travel between each destination in a traveler's itinerary. 【0254】 "Reservation" refers to the process of securing accommodation or leisure facilities in advance. 【0255】 "Display" refers to the act of visually providing travel plans and reservation information to the user's device. 【0256】 This invention is a system that enables travelers to efficiently plan their trips. Based on the traveler's conditions, it can provide appropriate information and automatically handle the booking process. 【0257】 The user enters their travel plan requirements into an input form on the terminal. The terminal accepts information such as destination, dates, budget, and activities of interest. This information is transmitted to the server via the internet. The server queries a database based on the received information. This database contains tourist information, accommodation information, and leisure facility information provided by local governments and partner organizations. 【0258】 The server uses a generative AI model to generate an optimal travel plan that meets the user's requirements. In doing so, it selects routes and accommodations while considering travel efficiency within the user's budget. Once the plan is generated, the server sends the information to the user's device and displays the travel plan. Furthermore, if the user approves the plan, the server automatically completes the reservations for accommodations and leisure facilities. 【0259】 As a concrete example, let's consider a user who inputs, "I want to take a 3-night, 4-day trip to Kyoto." The server, referring to the database, creates an itinerary that includes major Kyoto tourist attractions such as Kinkaku-ji Temple and To-ji Temple. Furthermore, it generates a plan that combines suitable accommodations within the user's budget with a travel schedule. This plan may also include additional elements such as "restaurant reservations near tourist attractions" or "special cultural experience tours." An example of a prompt statement to pass to the generating AI model for this process is shown below. 【0260】 Example of a prompt: 【0261】 "My travel destination is Kyoto, the itinerary is 3 nights and 4 days, the budget is under 100,000 yen, and I'm interested in visiting historical sites. Please create a recommended itinerary." 【0262】 This invention allows travelers to significantly reduce the cumbersome planning and booking process, enabling them to enjoy a high-quality travel experience. 【0263】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0264】 Step 1: 【0265】 The user uses their device to input travel details such as destination, travel dates, budget, and preferred activities. After completing this input, pressing the submit button sends the data to the server. The server receives this input data as basic information for the travel plan. 【0266】 Step 2: 【0267】 The server searches the database based on the received conditions to retrieve relevant information. Specifically, it queries a database containing tourism information, accommodation information, and leisure facility information provided by local governments. As a result of the database search, it extracts tourist destinations and facility information that match the user's travel conditions. 【0268】 Step 3: 【0269】 The server generates a travel plan using the acquired information and user input conditions. Using a generation AI model, it creates an optimal itinerary that considers travel efficiency within the budget. This process involves selecting tourist destinations and accommodations, ultimately generating travel plan data. 【0270】 Step 4: 【0271】 The server sends the generated travel plan to the user's device. The device receives this information and displays the travel plan on the user interface. Here, the planned tourist destinations, accommodations, and travel schedule are visually presented, allowing the user to review the details. 【0272】 Step 5: 【0273】 The user reviews the travel plan presented on their device and approves the proposed content. Once the approval is complete, that information is sent back to the server. At this point, the user's consent is obtained. 【0274】 Step 6: 【0275】 The server receives authorization information from the user and automatically starts the booking process. Specifically, it accesses the booking systems for accommodations and leisure facilities and completes the necessary reservations. This ensures that travel arrangements are made and the booking information is recorded on the server. 【0276】 Step 7: 【0277】 The server sends the completed reservation information to the user terminal. The terminal receives this information and displays the reservation confirmation information to the user. As a result, the user can finally confirm their travel plan and reservation status. 【0278】 (Application Example 1) 【0279】 Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0280】 When a traveler makes a travel plan, there is a problem that it is difficult to efficiently plan and execute a trip because the collection of information and reservation procedures are complicated, and furthermore, payment management during the journey is carried out individually. As a result, the traveler requires a lot of time and effort, and the satisfaction may decrease. 【0281】 The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0282】 In this invention, the server includes means for generating an optimal travel plan based on the conditions input by the traveler, means for collecting local tourism information by utilizing information from local governments and facilities, and means for managing electronic payments within a predetermined range and executing payment procedures based on the travel plan. As a result, the traveler can efficiently make a travel plan within one system, further simplify the procedures, and manage the payments during the journey in a lump sum. 【0283】 A "traveler" refers to a person who travels and is the subject that makes plans such as the itinerary and destinations to visit. 【0284】 The "means for generating an optimal travel plan based on conditions" is a function for creating an optimized itinerary based on the destination, schedule, budget, and activities of interest input by the traveler. 【0285】 "Means for collecting local tourism information by utilizing information from local governments and facilities" refers to a mechanism for collecting detailed tourism information about a travel destination by using information obtained from public institutions, accommodation facilities, tourist facilities, etc. 【0286】 "Means for automatically making reservations for accommodation facilities and leisure facilities" refers to a mechanism for automatically making reservations for accommodation and selected activities based on a travel plan via a network. 【0287】 "Means for displaying travel plan and reservation information on a user terminal" refers to means for visually providing users with the generated travel details and confirmed reservation information on their mobile terminals, etc. 【0288】 "Means for managing electronic payments within a predetermined range and executing payment procedures based on a travel plan" refers to a process for collectively managing payments for services during a trip and smoothly performing necessary settlements. 【0289】 "System" refers to an integrated group of components including the various means described above, and is a mechanism for supporting a traveler from planning to execution as a whole. 【0290】 To implement this invention, a user terminal for receiving traveler inputs and a server for processing information and generating an optimal travel plan are required. The terminal can use a portable information terminal such as a smartphone or tablet, and the user can input the destination, schedule, budget, and activities of interest from there. 【0291】 The server obtains information provided by local governments, accommodation facilities, leisure facilities, etc. from a database based on the input conditions from the user, analyzes it, and generates an optimal travel plan. This platform incorporates algorithms for smoothly performing data processing, particularly aiming at optimizing the travel route and within the budget. 【0292】 The generated travel plan is displayed on the terminal, allowing the user to review its contents. Once the user is satisfied with and approves the plan, the server automatically executes the booking process and manages electronic payments for accommodations and activities. For example, if a user plans a trip to Kyoto, the itinerary will include accommodation options related to tourist destinations, allowing the user to manage payments in one place. 【0293】 Examples of prompts generated using the AI ​​model include "Suggest the best 3-day Kyoto trip itinerary within my budget" and "Calculate the total cost of the trip." These prompts allow the system to provide the optimal solution tailored to the user's needs. 【0294】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0295】 Step 1: 【0296】 The user enters their travel destination, dates, budget, and preferred activities from their device. This information is sent as a request to the server. This input serves as basic information for planning the trip and provides the server with the criteria to create a suitable travel plan. 【0297】 Step 2: 【0298】 Based on the user's requested conditions, the server retrieves appropriate tourist information from the database. The database includes information on local governments, accommodations, and leisure facilities related to the destination. The server analyzes this information to extract data that meets the conditions and forms the dataset necessary for the next plan generation step. 【0299】 Step 3: 【0300】 Based on the analyzed information, the server generates a travel plan considering the efficiency of movement and the optimization of the budget. The algorithm used here is devised to maximize the conditions specified by the user, and specifically selects the visited places and accommodation, and optimizes the means of transportation. The output of the plan is a document provided to the user as a detailed itinerary. 【0301】 Step 4: 【0302】 The user terminal receives the generated travel plan and displays a detailed itinerary to the user. The user can check the plan and request changes if necessary. The user's actions here include the judgment of whether to approve the plan or recalculate it. 【0303】 Step 5: 【0304】 The server receives approval from the user and automatically makes reservations for accommodation and activities based on the travel plan. At the same time, it manages the electronic payment process and executes the payment procedures for related fees. The role of the server here is to smoothly and efficiently perform the backend processing. 【0305】 Step 6: 【0306】 The user terminal displays the final reservation confirmation and payment completion notification. Thereby, the user can confirm that the travel arrangements are completed and can safely prepare for the trip. The output here is the confirmed reservation information and the accompanying electronic receipt. 【0307】 Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion identification model 59 and perform specific processing using the user's emotions. 【0308】 This invention relates to a travel planning system that combines a traveler's emotions with an emotion engine that recognizes the emotions of travelers. The system begins with the user inputting travel conditions. The user inputs their departure point, destination, travel dates, budget, and activities of interest through a terminal. This information is sent to a server, which generates a travel plan based on it. The emotion engine analyzes the user's responses during input and their reactions to the proposed travel plan to identify the user's emotions. 【0309】 The server incorporates emotional data recognized by the emotion engine into the travel plan. For example, if a user expresses anxiety or dissatisfaction with the proposed plan, the server considers alternatives and proposes a more suitable plan. As a result, a travel plan optimized for the user is created. 【0310】 The generated "travel itinerary," incorporating emotional data, is sent from the server to the user's device. The user reviews the itinerary on their device and makes a final approval. The emotional engine also detects the user's emotions at the time of approval and adjusts the timing and method of sending confirmation information as needed. 【0311】 As a concrete example, suppose a user is planning a trip to Kyoto. If the emotion engine recognizes that the user is unsure about which dates to choose, the server will consider factors such as expected crowd levels at tourist spots and reviews from past travelers, and then propose a more optimal travel itinerary. In this way, the emotion engine can be used to understand the user's potential needs and interests and provide a plan that meets those needs. 【0312】 By incorporating emotion recognition, this system enriches the traveler's experience and enables services tailored to individual emotions. This allows travelers to efficiently obtain travel plans that more accurately fit their needs. 【0313】 The following describes the processing flow. 【0314】 Step 1: 【0315】 The user enters their travel details into the device. These details include departure point, destination, dates, budget, and activities of interest. The device then sends the entered information to the server. 【0316】 Step 2: 【0317】 The server collects relevant travel information from its database based on the information it receives. This includes tourism data and accommodation options obtained from local governments. The server then uses the accumulated data to generate a base for travel planning. 【0318】 Step 3: 【0319】 The emotion engine monitors user input and device actions to analyze the user's emotional state. For example, it can determine whether the user is finding something amusing or stressful. 【0320】 Step 4: 【0321】 The server adjusts the initially proposed travel plan, taking into account the analysis results from the emotion engine. Based on the emotion data, it changes the order of activities or adds more interesting options. 【0322】 Step 5: 【0323】 A personalized "travel itinerary" reflecting the user's emotions is displayed on the user's device. The user can then review the details and decide whether to proceed with the booking. 【0324】 Step 6: 【0325】 Once the user approves the travel plan, the device sends the information back to the server. The server then automatically makes reservations for accommodations and activities using the group company's reservation system. 【0326】 Step 7: 【0327】 Once the reservation is complete, the server notifies the user. The user's device displays final confirmation information and provides details of the reservation. The server also uses an emotion engine to perform confirmation at appropriate times. 【0328】 (Example 2) 【0329】 Next, we will describe Example 2. 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". 【0330】 When planning a trip, it's often difficult to fully consider the individual traveler's feelings and potential needs, resulting in the provision of only standard itineraries. Furthermore, there's the challenge of flexibly modifying plans in response to changes in circumstances or feelings during the trip. Additionally, a lack of timely and appropriate communication regarding booking and confirmation information can be stressful for travelers. A system is needed to address these challenges and provide travelers with the best possible travel experience. 【0331】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0332】 In this invention, the server includes means for generating a travel plan based on conditions entered by the traveler, means for collecting tourism information from external sources, means for determining the traveler's emotions using an emotion analysis engine and adjusting the travel plan accordingly, and means for automatically making reservations at facilities. This enables the generation of an optimal travel plan based on the traveler's input conditions, as well as the provision of flexible and personalized services that respond to emotions. Furthermore, by optimizing and adjusting the timing of reservation processing, a smooth experience that does not cause stress to the user becomes possible. 【0333】 The term "traveler" refers to an individual or group that plans and carries out a trip. 【0334】 "Conditions" refers to information that travelers consider when planning a trip, including factors such as departure point, destination, dates, budget, and activities of interest. 【0335】 A "travel plan" is a schedule created based on the traveler's preferences, including details such as destinations, accommodations, transportation, and activities. 【0336】 "Means" refers to a method or process for achieving a specific objective, in this case, the process for generating, coordinating, or executing a travel plan. 【0337】 "External information" refers to data provided by organizations or individuals, such as local sightseeing information and reviews of tourist destinations, which are necessary for optimizing travel plans. 【0338】 An "emotion analysis engine" is software or an algorithm that analyzes a traveler's emotions and measures their reactions to adjust their travel plan. 【0339】 An "information terminal" refers to a device that displays travel plans and confirmation information and allows travelers to input data, and generally includes smartphones, tablets, or computers. 【0340】 "Reservation processing" refers to a series of procedures for securing accommodations, leisure activities, transportation, and other arrangements in advance for travelers. 【0341】 "Adjusting the timing and method" refers to the process of providing confirmation information at the most appropriate time and in the most appropriate way, based on the results of analyzing travelers' emotions. 【0342】 This invention is a system that generates and adjusts optimal travel plans while taking into account the traveler's emotions. Processing begins when the user inputs travel conditions using a terminal and the server receives this information. The terminal provides an interface for inputting conditions such as departure point, destination, travel dates, budget, and activities of interest. The entered data is transmitted to the server via the internet. 【0343】 The server runs on a high-performance computing system. It incorporates a travel plan generation program and a sentiment analysis engine. The server first generates an initial travel plan using data from travelers. It then utilizes external sources such as the Google Maps API and travel review site APIs to collect local tourist information and reviews, improving the accuracy of the travel plan. 【0344】 Next, the sentiment analysis engine comes into play. This engine is built using machine learning frameworks such as TensorFlow and PyTorch, and detects emotions from the user's text and voice input. Based on the resulting sentiment data, it dynamically adjusts the travel plan, taking into account the user's potential needs and desires. 【0345】 The generated plan is sent from the server to the user's device as a "travel itinerary." The device displays the itinerary and provides an interface for the user to review the contents and give final approval. After user approval, the server processes the reservation and sends confirmation information to the device at the optimal time and in the most appropriate manner, taking into account the results of the traveler's sentiment analysis. 【0346】 As a concrete example, consider a user planning a trip to Kyoto. If the sentiment analysis engine detects that the user is hesitant or unsure about their travel plans after entering their itinerary, the server will then suggest a more optimal itinerary, taking into account factors such as expected crowd levels and reviews from past travelers. This kind of emotion-based adjustment improves the quality of the trip. 【0347】 An example of a prompt for a generative AI model could be, "Please suggest the optimal travel plan, taking into account the user's emotions regarding the travel plan." This prompt aims to generate an optimal plan that reflects the user's emotional data. 【0348】 This system allows travelers to quickly receive customized travel plans tailored to their individual needs, enriching their overall travel experience. 【0349】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0350】 Step 1: 【0351】 The user enters travel conditions using a terminal. These conditions include departure point, destination, travel dates, budget, and activities of interest. The terminal receives the entered conditions and formats them as digital data. As output, the user's condition data is sent to a server via the internet. 【0352】 Step 2: 【0353】 The server receives user condition data from the terminal and executes a travel plan generation program. This program utilizes the Google Maps API and APIs from travel review sites to collect information on tourist destinations and facilities from external sources. Based on the input conditions, it creates an initial travel plan and generates a detailed travel plan as output. 【0354】 Step 3: 【0355】 The server runs an emotion analysis engine. It launches machine learning models using TensorFlow and PyTorch to analyze text and voice input from the user. Using user response data as input, it analyzes emotions and identifies emotional states such as "excitement," "anxiety," and "satisfaction" as output. 【0356】 Step 4: 【0357】 The server uses the analyzed sentiment data to adjust the travel plan. For example, if the user expresses anxiety, it generates alternatives, taking into account crowd forecasts and past reviews. In this step, it outputs an optimized travel plan based on the input sentiment state. 【0358】 Step 5: 【0359】 The server generates a customized "travel itinerary" and sends it to the device. This itinerary reflects the user's preferences and includes travel dates, destinations, and activities. The device displays the received itinerary to the user and provides an interface for content review and final approval. 【0360】 Step 6: 【0361】 The user reviews and approves the bookmark via their device. The server receives the approval information, completes the reservation process, and, based on the sentiment analysis results, sends confirmation information to the device at the optimal time and in the most appropriate manner. All output is provided in a way that fits the user's needs. 【0362】 (Application Example 2) 【0363】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal". 【0364】 Traditional travel planning systems struggle to adequately consider the individual emotions and preferences of travelers, resulting in a failure to fully meet user needs. Furthermore, there is a need for flexible responses that reflect the emotional state of users in the satisfaction and approval processes for travel plans. 【0365】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0366】 In this invention, the server includes means for generating an optimal travel plan based on conditions entered by the traveler, means for analyzing the user's emotions regarding the selected travel conditions and adjusting the travel plan, and means for presenting alternatives to the travel plan generated by the emotion engine based on the processed emotion data. This makes it possible to provide an optimal travel plan that is tailored to the individual emotional state of the traveler and to improve user satisfaction. 【0367】 "Traveler" refers to an individual or group that plans and carries out a trip. 【0368】 "Conditions" refers to information that travelers enter when planning their trip, such as departure point, destination, dates, budget, and activities of interest. 【0369】 A "travel plan" refers to the overall schedule or program of a trip that is optimized based on the traveler's circumstances. 【0370】 "Information from local governments and facilities" refers to information such as event information, tourist spots, and accommodations provided by local governments and tourist facilities in the travel destination area. 【0371】 An "emotion engine" refers to a technology that analyzes a user's emotions based on their input and responses, and incorporates this into their travel plan. 【0372】 An "alternative plan" refers to a new proposal that includes changes or modifications to the original travel plan, based on the traveler's preferences. 【0373】 A "user terminal" refers to an electronic device used by travelers as an interface for displaying and approving travel plans. 【0374】 "Reservation processing" refers to a series of processes that involve arranging travel planning-related services, including reservations for accommodations and leisure facilities. 【0375】 This invention is a system that provides an optimal travel plan based on the individual emotional state of the traveler. The user inputs travel conditions into a user device such as a smartphone or tablet, and this information is transmitted to a server via the internet. The server first generates an initial travel plan based on the input conditions. This plan generation uses the latest tourism information obtained from local governments and tourist facilities. 【0376】 Next, user input and feedback from the device (e.g., tone of voice, facial expressions) are analyzed by an emotion engine, and the server acquires emotion data. This emotion engine is expected to utilize tools such as OpenAI's emotion analysis API or voice analysis tools. Based on the analysis results, the travel plan is adjusted according to the user's emotional state, and alternative plans are offered if necessary. 【0377】 Finally, the user reviews and approves the adjusted travel plan on their device. Based on the approved plan, the server automatically completes the booking process for accommodations and leisure facilities and sends confirmation information to the user. At this time, the optimal timing and method of sending are adjusted based on the analysis results of the emotion engine. 【0378】 For example, if a user instructs, "I want to go somewhere relaxing next weekend," the server uses a prompt such as "Suggest a travel plan that is perfect for stress relief" to generate an AI model, which then provides customized travel suggestions that reflect the emotion recognition results. In this way, it becomes possible to suggest travel options that fit the individual needs of the traveler. 【0379】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0380】 Step 1: 【0381】 The user enters travel details into the terminal. This information includes departure point, destination, dates, budget, and activities of interest. The terminal sends this information to the server. The output is the travel details data received by the server. 【0382】 Step 2: 【0383】 The server generates an initial travel plan based on the entered travel condition data. The data is processed within the server, utilizing information from local governments and tourist facilities to obtain the necessary data for the plan. The output is the initial travel plan. 【0384】 Step 3: 【0385】 After a plan is generated, the user terminal sends the user's voice instructions and facial expression data to the emotion engine. The emotion engine analyzes this data to detect the user's emotions. The output is the recognized emotion data. 【0386】 Step 4: 【0387】 The server receives emotional data sent from the emotion engine and incorporates it into the initial travel plan. The server then generates prompts using a generative AI model and adjusts the plan. The output is the adjusted travel plan. 【0388】 Step 5: 【0389】 The adjusted travel plan is displayed again on the user's device, and the user reviews the plan. If the device captures user feedback at this time, it is processed as additional sentiment data. The output is the user's feedback and final approval. 【0390】 Step 6: 【0391】 After final approval from the user, the server automatically makes reservations for accommodations and leisure facilities. The server processes these reservation details and sends confirmation information to the user's terminal. The output is reservation confirmation information. 【0392】 Step 7: 【0393】 The server adjusts the timing and method of sending confirmation information based on the final analysis results from the emotion engine. It notifies the user at the optimal time. The output is an optimized notification. 【0394】 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0395】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0396】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0397】 [Third Embodiment] 【0398】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0399】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0400】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0401】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0402】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0403】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0404】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0405】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0406】 The specific processing program 56 is an example of a "program" relating to the technology of this 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. 【0407】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0408】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0409】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0410】 This invention relates to a system that enables travelers to plan their trips efficiently and quickly. The system begins when the traveler inputs travel details. The user enters their destination, travel dates, budget, and activities of interest into a form on the terminal. Once these details are sent to the server, the server retrieves relevant information from a database. The database includes tourist information provided by local governments, as well as detailed information on accommodations and leisure facilities. 【0411】 Based on the collected information, the server generates a travel plan best suited to the traveler's needs. This generation process utilizes an algorithm that calculates the optimal route within the user's budget and considers the efficiency of travel between each destination. The server then sends the created "travel itinerary" to the user's terminal, displaying the detailed itinerary. 【0412】 The user reviews the bookmark, and if they are satisfied with the proposed plan, they approve the reservation of accommodation or leisure facilities in the system. Once this approval is received by the server, the server automatically uses the group company's reservation system to make the reservation. This eliminates the user's manual reservation process, ensuring all arrangements are made smoothly. 【0413】 For example, if a user plans a 3-night, 4-day trip from Tokyo to Kyoto, the system will suggest accommodations related to major tourist attractions in Kyoto. It will create an itinerary including attractions such as Toji Temple and Kinkakuji Temple, and select a suitable hotel within the user's budget. Based on this plan, restaurant reservations and special tours can also be automatically incorporated. 【0414】 In this way, the system automates bookings while offering a wide range of options based on the traveler's preferences, significantly simplifying travel planning and improving satisfaction. 【0415】 The following describes the processing flow. 【0416】 Step 1: 【0417】 The user enters travel details (departure point, destination, travel dates, budget, and activities of interest) into the device. The device then sends these details to the server. 【0418】 Step 2: 【0419】 Based on the received travel conditions, the server consults databases of relevant municipalities and partner facilities to retrieve necessary tourist and facility information. During this process, it filters potential destinations and options to match the user's interests and budget. 【0420】 Step 3: 【0421】 The server analyzes and combines the collected information to generate an optimal travel plan. This plan includes sightseeing destinations, accommodations, and transportation options. It also considers the best route and schedule to meet the user's requirements. 【0422】 Step 4: 【0423】 The server sends the created "travel itinerary" to the user's device. The device displays the received content to the user, allowing them to confirm the details of their travel plan. 【0424】 Step 5: 【0425】 The user decides whether to approve the booking based on the presented travel plan. If approved, the device sends that information back to the server. 【0426】 Step 6: 【0427】 Upon receiving user approval, the server automatically makes reservations for accommodations and leisure facilities using the group company's reservation system. Once the reservation is complete, the server sends confirmation information to the user. 【0428】 Step 7: 【0429】 The device notifies the user of confirmation that the reservation is complete. The user can then check their confirmed travel plan and reservation details on the device. 【0430】 (Example 1) 【0431】 Next, we will describe Example 1. 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." 【0432】 Modern travelers need to plan their trips considering multiple factors, including diverse destinations, tourist information, and budget constraints. However, manually researching these factors and creating an optimal schedule is time-consuming and laborious. Furthermore, manually making reservations for individual facilities is inefficient and prone to errors. Thus, there is a need to reduce the complexity of travel planning and booking, and to complete travel plans efficiently. 【0433】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0434】 In this invention, the server includes means for receiving conditions entered by the traveler from a terminal, means for searching a database and obtaining relevant information based on those conditions, and means for generating a travel plan based on the obtained information, taking into account the user's budget and travel efficiency. This allows travelers to create travel plans smoothly and without hassle. Furthermore, the entire process can be efficiently managed by automatically making reservations for accommodations and leisure facilities based on the generated travel plan and displaying the travel plan and reservation information on the user terminal. 【0435】 A "traveler" refers to an individual seeking information and services for the purpose of travel. 【0436】 "Conditions" refers to information that travelers consider when planning their trip, including destination, dates, budget, and activities of interest. 【0437】 A "terminal" refers to a device that travelers use to input and receive information, such as a smartphone or computer. 【0438】 A "server" refers to a computer system that processes information received from travelers and generates plans and provides information. 【0439】 A "database" refers to an information system that stores tourist information and facility information, allowing a server to retrieve the information by performing queries. 【0440】 A "travel plan" refers to a set of suggested destinations, schedules, and accommodations generated by the server based on the traveler's preferences. 【0441】 "Travel efficiency" refers to an indicator that optimizes the time and cost required for travel between each destination in a traveler's itinerary. 【0442】 "Reservation" refers to the process of securing accommodation or leisure facilities in advance. 【0443】 "Display" refers to the act of visually providing travel plans and reservation information to the user's device. 【0444】 This invention is a system that enables travelers to efficiently plan their trips. Based on the traveler's conditions, it can provide appropriate information and automatically handle the booking process. 【0445】 The user enters their travel plan requirements into an input form on the terminal. The terminal accepts information such as destination, dates, budget, and activities of interest. This information is transmitted to the server via the internet. The server queries a database based on the received information. This database contains tourist information, accommodation information, and leisure facility information provided by local governments and partner organizations. 【0446】 The server uses a generative AI model to generate an optimal travel plan that meets the user's requirements. In doing so, it selects routes and accommodations while considering travel efficiency within the user's budget. Once the plan is generated, the server sends the information to the user's device and displays the travel plan. Furthermore, if the user approves the plan, the server automatically completes the reservations for accommodations and leisure facilities. 【0447】 As a concrete example, let's consider a user who inputs, "I want to take a 3-night, 4-day trip to Kyoto." The server, referring to the database, creates an itinerary that includes major Kyoto tourist attractions such as Kinkaku-ji Temple and To-ji Temple. Furthermore, it generates a plan that combines suitable accommodations within the user's budget with a travel schedule. This plan may also include additional elements such as "restaurant reservations near tourist attractions" or "special cultural experience tours." An example of a prompt statement to pass to the generating AI model for this process is shown below. 【0448】 Example of a prompt: 【0449】 "My travel destination is Kyoto, the itinerary is 3 nights and 4 days, the budget is under 100,000 yen, and I'm interested in visiting historical sites. Please create a recommended itinerary." 【0450】 This invention allows travelers to significantly reduce the cumbersome planning and booking process, enabling them to enjoy a high-quality travel experience. 【0451】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0452】 Step 1: 【0453】 The user uses their device to input travel details such as destination, travel dates, budget, and preferred activities. After completing this input, pressing the submit button sends the data to the server. The server receives this input data as basic information for the travel plan. 【0454】 Step 2: 【0455】 The server searches the database based on the received conditions to retrieve relevant information. Specifically, it queries a database containing tourism information, accommodation information, and leisure facility information provided by local governments. As a result of the database search, it extracts tourist destinations and facility information that match the user's travel conditions. 【0456】 Step 3: 【0457】 The server generates a travel plan using the acquired information and user input conditions. Using a generation AI model, it creates an optimal itinerary that considers travel efficiency within the budget. This process involves selecting tourist destinations and accommodations, ultimately generating travel plan data. 【0458】 Step 4: 【0459】 The server sends the generated travel plan to the user's device. The device receives this information and displays the travel plan on the user interface. Here, the planned tourist destinations, accommodations, and travel schedule are visually presented, allowing the user to review the details. 【0460】 Step 5: 【0461】 The user reviews the travel plan presented on their device and approves the proposed content. Once the approval is complete, that information is sent back to the server. At this point, the user's consent is obtained. 【0462】 Step 6: 【0463】 The server receives authorization information from the user and automatically starts the booking process. Specifically, it accesses the booking systems for accommodations and leisure facilities and completes the necessary reservations. This ensures that travel arrangements are made and the booking information is recorded on the server. 【0464】 Step 7: 【0465】 The server sends the completed reservation information to the user's terminal. The terminal receives this information and displays the reservation confirmation to the user. This allows the user to finally confirm their travel plans and reservation status. 【0466】 (Application Example 1) 【0467】 Next, we will explain Application Example 1. In the following explanation, 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." 【0468】 When travelers plan their trips, the process of gathering information and making reservations is often cumbersome, and managing payments throughout the trip is a separate, individual task. This makes efficient travel planning and execution difficult. As a result, travelers often spend a lot of time and effort on their trips, which can lead to decreased satisfaction. 【0469】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0470】 In this invention, the server includes means for generating an optimal travel plan based on conditions entered by the traveler, means for collecting local tourism information by utilizing information from local governments and facilities, and means for managing electronic payments within a predetermined range and executing payment procedures based on the travel plan. This allows travelers to efficiently plan their trips within a single system, further simplifying procedures and enabling centralized management of payments during the itinerary. 【0471】 A "traveler" is someone who travels and is the one who plans their itinerary and destinations. 【0472】 "A means of generating the optimal travel plan based on conditions" refers to a function that creates an optimized itinerary based on the destination, dates, budget, and activities of interest entered by the traveler. 【0473】 "Means of collecting local tourism information by utilizing information from local governments and facilities" refers to a system that uses information obtained from public institutions, accommodations, tourist facilities, etc., to gather detailed tourism information about travel destinations. 【0474】 "Means for automatically making reservations for accommodations and leisure facilities" refers to a mechanism for automatically booking accommodations and selected activities based on a travel plan via a network. 【0475】 "Means for displaying travel plans and reservation information on a user's terminal" refers to means of visually providing the generated travel details and confirmed reservation information to the user's mobile terminal or other device. 【0476】 "A means of managing electronic payments within a specified scope based on a travel plan and executing payment procedures" refers to a process for centrally managing payments for services during travel and smoothly facilitating necessary settlements. 【0477】 A "system" is an integrated set of components, including the various means mentioned above, that collectively supports travelers from planning to execution. 【0478】 To implement this invention, a user terminal for receiving traveler input and a server for processing the information and generating an optimal travel plan are required. The terminal can be a mobile information device such as a smartphone or tablet, from which the user can input their destination, itinerary, budget, and activities of interest. 【0479】 The server retrieves information from a database provided by local governments, accommodations, and leisure facilities based on user input, analyzes it, and generates the optimal travel plan. This platform incorporates algorithms to streamline data processing, particularly focusing on optimizing travel routes and staying within budget. 【0480】 The generated travel plan is displayed on the terminal, allowing the user to review its contents. Once the user is satisfied with and approves the plan, the server automatically executes the booking process and manages electronic payments for accommodations and activities. For example, if a user plans a trip to Kyoto, the itinerary will include accommodation options related to tourist destinations, allowing the user to manage payments in one place. 【0481】 Examples of prompts generated using the AI ​​model include "Suggest the best 3-day Kyoto trip itinerary within my budget" and "Calculate the total cost of the trip." These prompts allow the system to provide the optimal solution tailored to the user's needs. 【0482】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0483】 Step 1: 【0484】 The user enters their travel destination, dates, budget, and preferred activities from their device. This information is sent as a request to the server. This input serves as basic information for planning the trip and provides the server with the criteria to create a suitable travel plan. 【0485】 Step 2: 【0486】 Based on the user's requested conditions, the server retrieves appropriate tourist information from the database. The database includes information on local governments, accommodations, and leisure facilities related to the destination. The server analyzes this information to extract data that meets the conditions and forms the dataset necessary for the next plan generation step. 【0487】 Step 3: 【0488】 Based on the analyzed information, the server generates a travel plan that considers the efficiency of travel and the optimization of the budget. The algorithm used is designed to best meet the user's specified conditions, selecting specific destinations and accommodations, and optimizing modes of transportation. The output of the plan is provided to the user as a document containing a detailed itinerary. 【0489】 Step 4: 【0490】 The user terminal receives the generated travel plan and displays the detailed itinerary to the user. The user can review the plan and request changes if necessary. User actions at this stage include deciding whether to approve the plan or request a recalculation. 【0491】 Step 5: 【0492】 The server, upon receiving user approval, automatically makes reservations for accommodations and activities based on the travel plan. Simultaneously, it manages the electronic payment process and handles the payment of related fees. The server's role here is to ensure smooth and efficient backend processing. 【0493】 Step 6: 【0494】 The user's terminal displays a notification confirming the final booking and payment completion. This allows the user to confirm that their travel arrangements are complete and to prepare for their trip with peace of mind. The output here includes the confirmed booking information and the accompanying electronic receipt. 【0495】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0496】 This invention relates to a travel planning system that combines a traveler's emotions with an emotion engine that recognizes the emotions of travelers. The system begins with the user inputting travel conditions. The user inputs their departure point, destination, travel dates, budget, and activities of interest through a terminal. This information is sent to a server, which generates a travel plan based on it. The emotion engine analyzes the user's responses during input and their reactions to the proposed travel plan to identify the user's emotions. 【0497】 The server incorporates emotional data recognized by the emotion engine into the travel plan. For example, if a user expresses anxiety or dissatisfaction with the proposed plan, the server considers alternatives and proposes a more suitable plan. As a result, a travel plan optimized for the user is created. 【0498】 The generated "travel itinerary," incorporating emotional data, is sent from the server to the user's device. The user reviews the itinerary on their device and makes a final approval. The emotional engine also detects the user's emotions at the time of approval and adjusts the timing and method of sending confirmation information as needed. 【0499】 As a concrete example, suppose a user is planning a trip to Kyoto. If the emotion engine recognizes that the user is unsure about which dates to choose, the server will consider factors such as expected crowd levels at tourist spots and reviews from past travelers, and then propose a more optimal travel itinerary. In this way, the emotion engine can be used to understand the user's potential needs and interests and provide a plan that meets those needs. 【0500】 By incorporating emotion recognition, this system enriches the traveler's experience and enables services tailored to individual emotions. This allows travelers to efficiently obtain travel plans that more accurately fit their needs. 【0501】 The following describes the processing flow. 【0502】 Step 1: 【0503】 The user enters their travel details into the device. These details include departure point, destination, dates, budget, and activities of interest. The device then sends the entered information to the server. 【0504】 Step 2: 【0505】 The server collects relevant travel information from its database based on the information it receives. This includes tourism data and accommodation options obtained from local governments. The server then uses the accumulated data to generate a base for travel planning. 【0506】 Step 3: 【0507】 The emotion engine monitors user input and device actions to analyze the user's emotional state. For example, it can determine whether the user is finding something amusing or stressful. 【0508】 Step 4: 【0509】 The server adjusts the initially proposed travel plan, taking into account the analysis results from the emotion engine. Based on the emotion data, it changes the order of activities or adds more interesting options. 【0510】 Step 5: 【0511】 A personalized "travel itinerary" reflecting the user's emotions is displayed on the user's device. The user can then review the details and decide whether to proceed with the booking. 【0512】 Step 6: 【0513】 Once the user approves the travel plan, the device sends the information back to the server. The server then automatically makes reservations for accommodations and activities using the group company's reservation system. 【0514】 Step 7: 【0515】 Once the reservation is complete, the server notifies the user. The user's device displays final confirmation information and provides details of the reservation. The server also uses an emotion engine to perform confirmation at appropriate times. 【0516】 (Example 2) 【0517】 Next, we will describe Example 2. 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." 【0518】 When planning a trip, it's often difficult to fully consider the individual traveler's feelings and potential needs, resulting in the provision of only standard itineraries. Furthermore, there's the challenge of flexibly modifying plans in response to changes in circumstances or feelings during the trip. Additionally, a lack of timely and appropriate communication regarding booking and confirmation information can be stressful for travelers. A system is needed to address these challenges and provide travelers with the best possible travel experience. 【0519】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0520】 In this invention, the server includes means for generating a travel plan based on conditions entered by the traveler, means for collecting tourism information from external sources, means for determining the traveler's emotions using an emotion analysis engine and adjusting the travel plan accordingly, and means for automatically making reservations at facilities. This enables the generation of an optimal travel plan based on the traveler's input conditions, as well as the provision of flexible and personalized services that respond to emotions. Furthermore, by optimizing and adjusting the timing of reservation processing, a smooth experience that does not cause stress to the user becomes possible. 【0521】 The term "traveler" refers to an individual or group that plans and carries out a trip. 【0522】 "Conditions" refers to information that travelers consider when planning a trip, including factors such as departure point, destination, dates, budget, and activities of interest. 【0523】 A "travel plan" is a schedule created based on the traveler's preferences, including details such as destinations, accommodations, transportation, and activities. 【0524】 "Means" refers to a method or process for achieving a specific objective, in this case, the process for generating, coordinating, or executing a travel plan. 【0525】 "External information" refers to data provided by organizations or individuals, such as local sightseeing information and reviews of tourist destinations, which are necessary for optimizing travel plans. 【0526】 An "emotion analysis engine" is software or an algorithm that analyzes a traveler's emotions and measures their reactions to adjust their travel plan. 【0527】 An "information terminal" refers to a device that displays travel plans and confirmation information and allows travelers to input data, and generally includes smartphones, tablets, or computers. 【0528】 "Reservation processing" refers to a series of procedures for securing accommodations, leisure activities, transportation, and other arrangements in advance for travelers. 【0529】 "Adjusting the timing and method" refers to the process of providing confirmation information at the most appropriate time and in the most appropriate way, based on the results of analyzing travelers' emotions. 【0530】 This invention is a system that generates and adjusts optimal travel plans while taking into account the traveler's emotions. Processing begins when the user inputs travel conditions using a terminal and the server receives this information. The terminal provides an interface for inputting conditions such as departure point, destination, travel dates, budget, and activities of interest. The entered data is transmitted to the server via the internet. 【0531】 The server runs on a high-performance computing system. It incorporates a travel plan generation program and a sentiment analysis engine. The server first generates an initial travel plan using data from travelers. It then utilizes external sources such as the Google Maps API and travel review site APIs to collect local tourist information and reviews, improving the accuracy of the travel plan. 【0532】 Next, the sentiment analysis engine comes into play. This engine is built using machine learning frameworks such as TensorFlow and PyTorch, and detects emotions from the user's text and voice input. Based on the resulting sentiment data, it dynamically adjusts the travel plan, taking into account the user's potential needs and desires. 【0533】 The generated plan is sent from the server to the user's device as a "travel itinerary." The device displays the itinerary and provides an interface for the user to review the contents and give final approval. After user approval, the server processes the reservation and sends confirmation information to the device at the optimal time and in the most appropriate manner, taking into account the results of the traveler's sentiment analysis. 【0534】 As a concrete example, consider a user planning a trip to Kyoto. If the sentiment analysis engine detects that the user is hesitant or unsure about their travel plans after entering their itinerary, the server will then suggest a more optimal itinerary, taking into account factors such as expected crowd levels and reviews from past travelers. This kind of emotion-based adjustment improves the quality of the trip. 【0535】 An example of a prompt for a generative AI model could be, "Please suggest the optimal travel plan, taking into account the user's emotions regarding the travel plan." This prompt aims to generate an optimal plan that reflects the user's emotional data. 【0536】 This system allows travelers to quickly receive customized travel plans tailored to their individual needs, enriching their overall travel experience. 【0537】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0538】 Step 1: 【0539】 The user enters travel conditions using a terminal. These conditions include departure point, destination, travel dates, budget, and activities of interest. The terminal receives the entered conditions and formats them as digital data. As output, the user's condition data is sent to a server via the internet. 【0540】 Step 2: 【0541】 The server receives user condition data from the terminal and executes a travel plan generation program. This program utilizes the Google Maps API and APIs from travel review sites to collect information on tourist destinations and facilities from external sources. Based on the input conditions, it creates an initial travel plan and generates a detailed travel plan as output. 【0542】 Step 3: 【0543】 The server runs an emotion analysis engine. It launches machine learning models using TensorFlow and PyTorch to analyze text and voice input from the user. Using user response data as input, it analyzes emotions and identifies emotional states such as "excitement," "anxiety," and "satisfaction" as output. 【0544】 Step 4: 【0545】 The server uses the analyzed sentiment data to adjust the travel plan. For example, if the user expresses anxiety, it generates alternatives, taking into account crowd forecasts and past reviews. In this step, it outputs an optimized travel plan based on the input sentiment state. 【0546】 Step 5: 【0547】 The server generates a customized "travel itinerary" and sends it to the device. This itinerary reflects the user's preferences and includes travel dates, destinations, and activities. The device displays the received itinerary to the user and provides an interface for content review and final approval. 【0548】 Step 6: 【0549】 The user reviews and approves the bookmark via their device. The server receives the approval information, completes the reservation process, and, based on the sentiment analysis results, sends confirmation information to the device at the optimal time and in the most appropriate manner. All output is provided in a way that fits the user's needs. 【0550】 (Application Example 2) 【0551】 Next, we will explain application example 2. In the following explanation, 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." 【0552】 Traditional travel planning systems struggle to adequately consider the individual emotions and preferences of travelers, resulting in a failure to fully meet user needs. Furthermore, there is a need for flexible responses that reflect the emotional state of users in the satisfaction and approval processes for travel plans. 【0553】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0554】 In this invention, the server includes means for generating an optimal travel plan based on conditions entered by the traveler, means for analyzing the user's emotions regarding the selected travel conditions and adjusting the travel plan, and means for presenting alternatives to the travel plan generated by the emotion engine based on the processed emotion data. This makes it possible to provide an optimal travel plan that is tailored to the individual emotional state of the traveler and to improve user satisfaction. 【0555】 "Traveler" refers to an individual or group that plans and carries out a trip. 【0556】 "Conditions" refers to information that travelers enter when planning their trip, such as departure point, destination, dates, budget, and activities of interest. 【0557】 A "travel plan" refers to the overall schedule or program of a trip that is optimized based on the traveler's circumstances. 【0558】 "Information from local governments and facilities" refers to information such as event information, tourist spots, and accommodations provided by local governments and tourist facilities in the travel destination area. 【0559】 An "emotion engine" refers to a technology that analyzes a user's emotions based on their input and responses, and incorporates this into their travel plan. 【0560】 An "alternative plan" refers to a new proposal that includes changes or modifications to the original travel plan, based on the traveler's preferences. 【0561】 A "user terminal" refers to an electronic device used by travelers as an interface for displaying and approving travel plans. 【0562】 "Reservation processing" refers to a series of processes that involve arranging travel planning-related services, including reservations for accommodations and leisure facilities. 【0563】 This invention is a system that provides an optimal travel plan based on the individual emotional state of the traveler. The user inputs travel conditions into a user device such as a smartphone or tablet, and this information is transmitted to a server via the internet. The server first generates an initial travel plan based on the input conditions. This plan generation uses the latest tourism information obtained from local governments and tourist facilities. 【0564】 Next, user input and feedback from the device (e.g., tone of voice, facial expressions) are analyzed by an emotion engine, and the server acquires emotion data. This emotion engine is expected to utilize tools such as OpenAI's emotion analysis API or voice analysis tools. Based on the analysis results, the travel plan is adjusted according to the user's emotional state, and alternative plans are offered if necessary. 【0565】 Finally, the user reviews and approves the adjusted travel plan on their device. Based on the approved plan, the server automatically completes the booking process for accommodations and leisure facilities and sends confirmation information to the user. At this time, the optimal timing and method of sending are adjusted based on the analysis results of the emotion engine. 【0566】 For example, if a user instructs, "I want to go somewhere relaxing next weekend," the server uses a prompt such as "Suggest a travel plan that is perfect for stress relief" to generate an AI model, which then provides customized travel suggestions that reflect the emotion recognition results. In this way, it becomes possible to suggest travel options that fit the individual needs of the traveler. 【0567】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0568】 Step 1: 【0569】 The user enters travel details into the terminal. This information includes departure point, destination, dates, budget, and activities of interest. The terminal sends this information to the server. The output is the travel details data received by the server. 【0570】 Step 2: 【0571】 The server generates an initial travel plan based on the entered travel condition data. The data is processed within the server, utilizing information from local governments and tourist facilities to obtain the necessary data for the plan. The output is the initial travel plan. 【0572】 Step 3: 【0573】 After a plan is generated, the user terminal sends the user's voice instructions and facial expression data to the emotion engine. The emotion engine analyzes this data to detect the user's emotions. The output is the recognized emotion data. 【0574】 Step 4: 【0575】 The server receives emotional data sent from the emotion engine and incorporates it into the initial travel plan. The server then generates prompts using a generative AI model and adjusts the plan. The output is the adjusted travel plan. 【0576】 Step 5: 【0577】 The adjusted travel plan is displayed again on the user's device, and the user reviews the plan. If the device captures user feedback at this time, it is processed as additional sentiment data. The output is the user's feedback and final approval. 【0578】 Step 6: 【0579】 After final approval from the user, the server automatically makes reservations for accommodations and leisure facilities. The server processes these reservation details and sends confirmation information to the user's terminal. The output is reservation confirmation information. 【0580】 Step 7: 【0581】 The server adjusts the timing and method of sending confirmation information based on the final analysis results from the emotion engine. It notifies the user at the optimal time. The output is an optimized notification. 【0582】 The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0583】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0584】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0585】 [Fourth Embodiment] 【0586】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0587】 As shown in Figure 7, the 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. 【0588】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0589】 The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52. 【0590】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0591】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0592】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0593】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0594】 Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0595】 The specific processing program 56 is an example of a "program" relating to the technology of this 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. 【0596】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0597】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0598】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0599】 This invention relates to a system that enables travelers to plan their trips efficiently and quickly. The system begins when the traveler inputs travel details. The user enters their destination, travel dates, budget, and activities of interest into a form on the terminal. Once these details are sent to the server, the server retrieves relevant information from a database. The database includes tourist information provided by local governments, as well as detailed information on accommodations and leisure facilities. 【0600】 Based on the collected information, the server generates a travel plan best suited to the traveler's needs. This generation process utilizes an algorithm that calculates the optimal route within the user's budget and considers the efficiency of travel between each destination. The server then sends the created "travel itinerary" to the user's terminal, displaying the detailed itinerary. 【0601】 The user reviews the bookmark, and if they are satisfied with the proposed plan, they approve the reservation of accommodation or leisure facilities in the system. Once this approval is received by the server, the server automatically uses the group company's reservation system to make the reservation. This eliminates the user's manual reservation process, ensuring all arrangements are made smoothly. 【0602】 For example, if a user plans a 3-night, 4-day trip from Tokyo to Kyoto, the system will suggest accommodations related to major tourist attractions in Kyoto. It will create an itinerary including attractions such as Toji Temple and Kinkakuji Temple, and select a suitable hotel within the user's budget. Based on this plan, restaurant reservations and special tours can also be automatically incorporated. 【0603】 In this way, the system automates bookings while offering a wide range of options based on the traveler's preferences, significantly simplifying travel planning and improving satisfaction. 【0604】 The following describes the processing flow. 【0605】 Step 1: 【0606】 The user enters travel details (departure point, destination, travel dates, budget, and activities of interest) into the device. The device then sends these details to the server. 【0607】 Step 2: 【0608】 Based on the received travel conditions, the server consults databases of relevant municipalities and partner facilities to retrieve necessary tourist and facility information. During this process, it filters potential destinations and options to match the user's interests and budget. 【0609】 Step 3: 【0610】 The server analyzes and combines the collected information to generate an optimal travel plan. This plan includes sightseeing destinations, accommodations, and transportation options. It also considers the best route and schedule to meet the user's requirements. 【0611】 Step 4: 【0612】 The server sends the created "travel itinerary" to the user's device. The device displays the received content to the user, allowing them to confirm the details of their travel plan. 【0613】 Step 5: 【0614】 The user decides whether to approve the booking based on the presented travel plan. If approved, the device sends that information back to the server. 【0615】 Step 6: 【0616】 Upon receiving user approval, the server automatically makes reservations for accommodations and leisure facilities using the group company's reservation system. Once the reservation is complete, the server sends confirmation information to the user. 【0617】 Step 7: 【0618】 The device notifies the user of confirmation that the reservation is complete. The user can then check their confirmed travel plan and reservation details on the device. 【0619】 (Example 1) 【0620】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0621】 Modern travelers need to plan their trips considering multiple factors, including diverse destinations, tourist information, and budget constraints. However, manually researching these factors and creating an optimal schedule is time-consuming and laborious. Furthermore, manually making reservations for individual facilities is inefficient and prone to errors. Thus, there is a need to reduce the complexity of travel planning and booking, and to complete travel plans efficiently. 【0622】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0623】 In this invention, the server includes means for receiving conditions entered by the traveler from a terminal, means for searching a database and obtaining relevant information based on those conditions, and means for generating a travel plan based on the obtained information, taking into account the user's budget and travel efficiency. This allows travelers to create travel plans smoothly and without hassle. Furthermore, the entire process can be efficiently managed by automatically making reservations for accommodations and leisure facilities based on the generated travel plan and displaying the travel plan and reservation information on the user terminal. 【0624】 A "traveler" refers to an individual seeking information and services for the purpose of travel. 【0625】 "Conditions" refers to information that travelers consider when planning their trip, including destination, dates, budget, and activities of interest. 【0626】 A "terminal" refers to a device that travelers use to input and receive information, such as a smartphone or computer. 【0627】 A "server" refers to a computer system that processes information received from travelers and generates plans and provides information. 【0628】 A "database" refers to an information system that stores tourist information and facility information, allowing a server to retrieve the information by performing queries. 【0629】 A "travel plan" refers to a set of suggested destinations, schedules, and accommodations generated by the server based on the traveler's preferences. 【0630】 "Travel efficiency" refers to an indicator that optimizes the time and cost required for travel between each destination in a traveler's itinerary. 【0631】 "Reservation" refers to the process of securing accommodation or leisure facilities in advance. 【0632】 "Display" refers to the act of visually providing travel plans and reservation information to the user's device. 【0633】 This invention is a system that enables travelers to efficiently plan their trips. Based on the traveler's conditions, it can provide appropriate information and automatically handle the booking process. 【0634】 The user enters their travel plan requirements into an input form on the terminal. The terminal accepts information such as destination, dates, budget, and activities of interest. This information is transmitted to the server via the internet. The server queries a database based on the received information. This database contains tourist information, accommodation information, and leisure facility information provided by local governments and partner organizations. 【0635】 The server uses a generative AI model to generate an optimal travel plan that meets the user's requirements. In doing so, it selects routes and accommodations while considering travel efficiency within the user's budget. Once the plan is generated, the server sends the information to the user's device and displays the travel plan. Furthermore, if the user approves the plan, the server automatically completes the reservations for accommodations and leisure facilities. 【0636】 As a concrete example, let's consider a user who inputs, "I want to take a 3-night, 4-day trip to Kyoto." The server, referring to the database, creates an itinerary that includes major Kyoto tourist attractions such as Kinkaku-ji Temple and To-ji Temple. Furthermore, it generates a plan that combines suitable accommodations within the user's budget with a travel schedule. This plan may also include additional elements such as "restaurant reservations near tourist attractions" or "special cultural experience tours." An example of a prompt statement to pass to the generating AI model for this process is shown below. 【0637】 Example of a prompt: 【0638】 "My travel destination is Kyoto, the itinerary is 3 nights and 4 days, the budget is under 100,000 yen, and I'm interested in visiting historical sites. Please create a recommended itinerary." 【0639】 This invention allows travelers to significantly reduce the cumbersome planning and booking process, enabling them to enjoy a high-quality travel experience. 【0640】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0641】 Step 1: 【0642】 The user uses their device to input travel details such as destination, travel dates, budget, and preferred activities. After completing this input, pressing the submit button sends the data to the server. The server receives this input data as basic information for the travel plan. 【0643】 Step 2: 【0644】 The server searches the database based on the received conditions to retrieve relevant information. Specifically, it queries a database containing tourism information, accommodation information, and leisure facility information provided by local governments. As a result of the database search, it extracts tourist destinations and facility information that match the user's travel conditions. 【0645】 Step 3: 【0646】 The server generates a travel plan using the acquired information and user input conditions. Using a generation AI model, it creates an optimal itinerary that considers travel efficiency within the budget. This process involves selecting tourist destinations and accommodations, ultimately generating travel plan data. 【0647】 Step 4: 【0648】 The server sends the generated travel plan to the user's device. The device receives this information and displays the travel plan on the user interface. Here, the planned tourist destinations, accommodations, and travel schedule are visually presented, allowing the user to review the details. 【0649】 Step 5: 【0650】 The user reviews the travel plan presented on their device and approves the proposed content. Once the approval is complete, that information is sent back to the server. At this point, the user's consent is obtained. 【0651】 Step 6: 【0652】 The server receives authorization information from the user and automatically starts the booking process. Specifically, it accesses the booking systems for accommodations and leisure facilities and completes the necessary reservations. This ensures that travel arrangements are made and the booking information is recorded on the server. 【0653】 Step 7: 【0654】 The server sends the completed reservation information to the user's terminal. The terminal receives this information and displays the reservation confirmation to the user. This allows the user to finally confirm their travel plans and reservation status. 【0655】 (Application Example 1) 【0656】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0657】 When travelers plan their trips, the process of gathering information and making reservations is often cumbersome, and managing payments throughout the trip is a separate, individual task. This makes efficient travel planning and execution difficult. As a result, travelers often spend a lot of time and effort on their trips, which can lead to decreased satisfaction. 【0658】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0659】 In this invention, the server includes means for generating an optimal travel plan based on conditions entered by the traveler, means for collecting local tourism information by utilizing information from local governments and facilities, and means for managing electronic payments within a predetermined range and executing payment procedures based on the travel plan. This allows travelers to efficiently plan their trips within a single system, further simplifying procedures and enabling centralized management of payments during the itinerary. 【0660】 A "traveler" is someone who travels and is the one who plans their itinerary and destinations. 【0661】 "A means of generating the optimal travel plan based on conditions" refers to a function that creates an optimized itinerary based on the destination, dates, budget, and activities of interest entered by the traveler. 【0662】 "Means of collecting local tourism information by utilizing information from local governments and facilities" refers to a system that uses information obtained from public institutions, accommodations, tourist facilities, etc., to gather detailed tourism information about travel destinations. 【0663】 "Means for automatically making reservations for accommodations and leisure facilities" refers to a mechanism for automatically booking accommodations and selected activities based on a travel plan via a network. 【0664】 "Means for displaying travel plans and reservation information on a user's terminal" refers to means of visually providing the generated travel details and confirmed reservation information to the user's mobile terminal or other device. 【0665】 "A means of managing electronic payments within a specified scope based on a travel plan and executing payment procedures" refers to a process for centrally managing payments for services during travel and smoothly facilitating necessary settlements. 【0666】 A "system" is an integrated set of components, including the various means mentioned above, that collectively supports travelers from planning to execution. 【0667】 To implement this invention, a user terminal for receiving traveler input and a server for processing the information and generating an optimal travel plan are required. The terminal can be a mobile information device such as a smartphone or tablet, from which the user can input their destination, itinerary, budget, and activities of interest. 【0668】 The server retrieves information from a database provided by local governments, accommodations, and leisure facilities based on user input, analyzes it, and generates the optimal travel plan. This platform incorporates algorithms to streamline data processing, particularly focusing on optimizing travel routes and staying within budget. 【0669】 The generated travel plan is displayed on the terminal, allowing the user to review its contents. Once the user is satisfied with and approves the plan, the server automatically executes the booking process and manages electronic payments for accommodations and activities. For example, if a user plans a trip to Kyoto, the itinerary will include accommodation options related to tourist destinations, allowing the user to manage payments in one place. 【0670】 Examples of prompts generated using the AI ​​model include "Suggest the best 3-day Kyoto trip itinerary within my budget" and "Calculate the total cost of the trip." These prompts allow the system to provide the optimal solution tailored to the user's needs. 【0671】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0672】 Step 1: 【0673】 The user enters their travel destination, dates, budget, and preferred activities from their device. This information is sent as a request to the server. This input serves as basic information for planning the trip and provides the server with the criteria to create a suitable travel plan. 【0674】 Step 2: 【0675】 Based on the user's requested conditions, the server retrieves appropriate tourist information from the database. The database includes information on local governments, accommodations, and leisure facilities related to the destination. The server analyzes this information to extract data that meets the conditions and forms the dataset necessary for the next plan generation step. 【0676】 Step 3: 【0677】 Based on the analyzed information, the server generates a travel plan that considers the efficiency of travel and the optimization of the budget. The algorithm used is designed to best meet the user's specified conditions, selecting specific destinations and accommodations, and optimizing modes of transportation. The output of the plan is provided to the user as a document containing a detailed itinerary. 【0678】 Step 4: 【0679】 The user terminal receives the generated travel plan and displays the detailed itinerary to the user. The user can review the plan and request changes if necessary. User actions at this stage include deciding whether to approve the plan or request a recalculation. 【0680】 Step 5: 【0681】 The server, upon receiving user approval, automatically makes reservations for accommodations and activities based on the travel plan. Simultaneously, it manages the electronic payment process and handles the payment of related fees. The server's role here is to ensure smooth and efficient backend processing. 【0682】 Step 6: 【0683】 The user's terminal displays a notification confirming the final booking and payment completion. This allows the user to confirm that their travel arrangements are complete and to prepare for their trip with peace of mind. The output here includes the confirmed booking information and the accompanying electronic receipt. 【0684】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0685】 This invention relates to a travel planning system that combines a traveler's emotions with an emotion engine that recognizes the emotions of travelers. The system begins with the user inputting travel conditions. The user inputs their departure point, destination, travel dates, budget, and activities of interest through a terminal. This information is sent to a server, which generates a travel plan based on it. The emotion engine analyzes the user's responses during input and their reactions to the proposed travel plan to identify the user's emotions. 【0686】 The server incorporates emotional data recognized by the emotion engine into the travel plan. For example, if a user expresses anxiety or dissatisfaction with the proposed plan, the server considers alternatives and proposes a more suitable plan. As a result, a travel plan optimized for the user is created. 【0687】 The generated "travel itinerary," incorporating emotional data, is sent from the server to the user's device. The user reviews the itinerary on their device and makes a final approval. The emotional engine also detects the user's emotions at the time of approval and adjusts the timing and method of sending confirmation information as needed. 【0688】 As a concrete example, suppose a user is planning a trip to Kyoto. If the emotion engine recognizes that the user is unsure about which dates to choose, the server will consider factors such as expected crowd levels at tourist spots and reviews from past travelers, and then propose a more optimal travel itinerary. In this way, the emotion engine can be used to understand the user's potential needs and interests and provide a plan that meets those needs. 【0689】 By incorporating emotion recognition, this system enriches the traveler's experience and enables services tailored to individual emotions. This allows travelers to efficiently obtain travel plans that more accurately fit their needs. 【0690】 The following describes the processing flow. 【0691】 Step 1: 【0692】 The user enters their travel details into the device. These details include departure point, destination, dates, budget, and activities of interest. The device then sends the entered information to the server. 【0693】 Step 2: 【0694】 The server collects relevant travel information from its database based on the information it receives. This includes tourism data and accommodation options obtained from local governments. The server then uses the accumulated data to generate a base for travel planning. 【0695】 Step 3: 【0696】 The emotion engine monitors user input and device actions to analyze the user's emotional state. For example, it can determine whether the user is finding something amusing or stressful. 【0697】 Step 4: 【0698】 The server adjusts the initially proposed travel plan, taking into account the analysis results from the emotion engine. Based on the emotion data, it changes the order of activities or adds more interesting options. 【0699】 Step 5: 【0700】 A personalized "travel itinerary" reflecting the user's emotions is displayed on the user's device. The user can then review the details and decide whether to proceed with the booking. 【0701】 Step 6: 【0702】 Once the user approves the travel plan, the device sends the information back to the server. The server then automatically makes reservations for accommodations and activities using the group company's reservation system. 【0703】 Step 7: 【0704】 Once the reservation is complete, the server notifies the user. The user's device displays final confirmation information and provides details of the reservation. The server also uses an emotion engine to perform confirmation at appropriate times. 【0705】 (Example 2) 【0706】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0707】 When planning a trip, it's often difficult to fully consider the individual traveler's feelings and potential needs, resulting in the provision of only standard itineraries. Furthermore, there's the challenge of flexibly modifying plans in response to changes in circumstances or feelings during the trip. Additionally, a lack of timely and appropriate communication regarding booking and confirmation information can be stressful for travelers. A system is needed to address these challenges and provide travelers with the best possible travel experience. 【0708】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0709】 In this invention, the server includes means for generating a travel plan based on conditions entered by the traveler, means for collecting tourism information from external sources, means for determining the traveler's emotions using an emotion analysis engine and adjusting the travel plan accordingly, and means for automatically making reservations at facilities. This enables the generation of an optimal travel plan based on the traveler's input conditions, as well as the provision of flexible and personalized services that respond to emotions. Furthermore, by optimizing and adjusting the timing of reservation processing, a smooth experience that does not cause stress to the user becomes possible. 【0710】 The term "traveler" refers to an individual or group that plans and carries out a trip. 【0711】 "Conditions" refers to information that travelers consider when planning a trip, including factors such as departure point, destination, dates, budget, and activities of interest. 【0712】 A "travel plan" is a schedule created based on the traveler's preferences, including details such as destinations, accommodations, transportation, and activities. 【0713】 "Means" refers to a method or process for achieving a specific objective, in this case, the process for generating, coordinating, or executing a travel plan. 【0714】 "External information" refers to data provided by organizations or individuals, such as local sightseeing information and reviews of tourist destinations, which are necessary for optimizing travel plans. 【0715】 An "emotion analysis engine" is software or an algorithm that analyzes a traveler's emotions and measures their reactions to adjust their travel plan. 【0716】 An "information terminal" refers to a device that displays travel plans and confirmation information and allows travelers to input data, and generally includes smartphones, tablets, or computers. 【0717】 "Reservation processing" refers to a series of procedures for securing accommodations, leisure activities, transportation, and other arrangements in advance for travelers. 【0718】 "Adjusting the timing and method" refers to the process of providing confirmation information at the most appropriate time and in the most appropriate way, based on the results of analyzing travelers' emotions. 【0719】 This invention is a system that generates and adjusts optimal travel plans while taking into account the traveler's emotions. Processing begins when the user inputs travel conditions using a terminal and the server receives this information. The terminal provides an interface for inputting conditions such as departure point, destination, travel dates, budget, and activities of interest. The entered data is transmitted to the server via the internet. 【0720】 The server runs on a high-performance computing system. It incorporates a travel plan generation program and a sentiment analysis engine. The server first generates an initial travel plan using data from travelers. It then utilizes external sources such as the Google Maps API and travel review site APIs to collect local tourist information and reviews, improving the accuracy of the travel plan. 【0721】 Next, the sentiment analysis engine comes into play. This engine is built using machine learning frameworks such as TensorFlow and PyTorch, and detects emotions from the user's text and voice input. Based on the resulting sentiment data, it dynamically adjusts the travel plan, taking into account the user's potential needs and desires. 【0722】 The generated plan is sent from the server to the user's device as a "travel itinerary." The device displays the itinerary and provides an interface for the user to review the contents and give final approval. After user approval, the server processes the reservation and sends confirmation information to the device at the optimal time and in the most appropriate manner, taking into account the results of the traveler's sentiment analysis. 【0723】 As a concrete example, consider a user planning a trip to Kyoto. If the sentiment analysis engine detects that the user is hesitant or unsure about their travel plans after entering their itinerary, the server will then suggest a more optimal itinerary, taking into account factors such as expected crowd levels and reviews from past travelers. This kind of emotion-based adjustment improves the quality of the trip. 【0724】 An example of a prompt for a generative AI model could be, "Please suggest the optimal travel plan, taking into account the user's emotions regarding the travel plan." This prompt aims to generate an optimal plan that reflects the user's emotional data. 【0725】 This system allows travelers to quickly receive customized travel plans tailored to their individual needs, enriching their overall travel experience. 【0726】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0727】 Step 1: 【0728】 The user enters travel conditions using a terminal. These conditions include departure point, destination, travel dates, budget, and activities of interest. The terminal receives the entered conditions and formats them as digital data. As output, the user's condition data is sent to a server via the internet. 【0729】 Step 2: 【0730】 The server receives user condition data from the terminal and executes a travel plan generation program. This program utilizes the Google Maps API and APIs from travel review sites to collect information on tourist destinations and facilities from external sources. Based on the input conditions, it creates an initial travel plan and generates a detailed travel plan as output. 【0731】 Step 3: 【0732】 The server runs an emotion analysis engine. It launches machine learning models using TensorFlow and PyTorch to analyze text and voice input from the user. Using user response data as input, it analyzes emotions and identifies emotional states such as "excitement," "anxiety," and "satisfaction" as output. 【0733】 Step 4: 【0734】 The server uses the analyzed sentiment data to adjust the travel plan. For example, if the user expresses anxiety, it generates alternatives, taking into account crowd forecasts and past reviews. In this step, it outputs an optimized travel plan based on the input sentiment state. 【0735】 Step 5: 【0736】 The server generates a customized "travel itinerary" and sends it to the device. This itinerary reflects the user's preferences and includes travel dates, destinations, and activities. The device displays the received itinerary to the user and provides an interface for content review and final approval. 【0737】 Step 6: 【0738】 The user reviews and approves the bookmark via their device. The server receives the approval information, completes the reservation process, and, based on the sentiment analysis results, sends confirmation information to the device at the optimal time and in the most appropriate manner. All output is provided in a way that fits the user's needs. 【0739】 (Application Example 2) 【0740】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0741】 Traditional travel planning systems struggle to adequately consider the individual emotions and preferences of travelers, resulting in a failure to fully meet user needs. Furthermore, there is a need for flexible responses that reflect the emotional state of users in the satisfaction and approval processes for travel plans. 【0742】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0743】 In this invention, the server includes means for generating an optimal travel plan based on conditions entered by the traveler, means for analyzing the user's emotions regarding the selected travel conditions and adjusting the travel plan, and means for presenting alternatives to the travel plan generated by the emotion engine based on the processed emotion data. This makes it possible to provide an optimal travel plan that is tailored to the individual emotional state of the traveler and to improve user satisfaction. 【0744】 "Traveler" refers to an individual or group that plans and carries out a trip. 【0745】 "Conditions" refers to information that travelers enter when planning their trip, such as departure point, destination, dates, budget, and activities of interest. 【0746】 A "travel plan" refers to the overall schedule or program of a trip that is optimized based on the traveler's circumstances. 【0747】 "Information from local governments and facilities" refers to information such as event information, tourist spots, and accommodations provided by local governments and tourist facilities in the travel destination area. 【0748】 An "emotion engine" refers to a technology that analyzes a user's emotions based on their input and responses, and incorporates this into their travel plan. 【0749】 An "alternative plan" refers to a new proposal that includes changes or modifications to the original travel plan, based on the traveler's preferences. 【0750】 A "user terminal" refers to an electronic device used by travelers as an interface for displaying and approving travel plans. 【0751】 "Reservation processing" refers to a series of processes that involve arranging travel planning-related services, including reservations for accommodations and leisure facilities. 【0752】 This invention is a system that provides an optimal travel plan based on the individual emotional state of the traveler. The user inputs travel conditions into a user device such as a smartphone or tablet, and this information is transmitted to a server via the internet. The server first generates an initial travel plan based on the input conditions. This plan generation uses the latest tourism information obtained from local governments and tourist facilities. 【0753】 Next, user input and feedback from the device (e.g., tone of voice, facial expressions) are analyzed by an emotion engine, and the server acquires emotion data. This emotion engine is expected to utilize tools such as OpenAI's emotion analysis API or voice analysis tools. Based on the analysis results, the travel plan is adjusted according to the user's emotional state, and alternative plans are offered if necessary. 【0754】 Finally, the user reviews and approves the adjusted travel plan on their device. Based on the approved plan, the server automatically completes the booking process for accommodations and leisure facilities and sends confirmation information to the user. At this time, the optimal timing and method of sending are adjusted based on the analysis results of the emotion engine. 【0755】 For example, if a user instructs, "I want to go somewhere relaxing next weekend," the server uses a prompt such as "Suggest a travel plan that is perfect for stress relief" to generate an AI model, which then provides customized travel suggestions that reflect the emotion recognition results. In this way, it becomes possible to suggest travel options that fit the individual needs of the traveler. 【0756】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0757】 Step 1: 【0758】 The user enters travel details into the terminal. This information includes departure point, destination, dates, budget, and activities of interest. The terminal sends this information to the server. The output is the travel details data received by the server. 【0759】 Step 2: 【0760】 The server generates an initial travel plan based on the entered travel condition data. The data is processed within the server, utilizing information from local governments and tourist facilities to obtain the necessary data for the plan. The output is the initial travel plan. 【0761】 Step 3: 【0762】 After a plan is generated, the user terminal sends the user's voice instructions and facial expression data to the emotion engine. The emotion engine analyzes this data to detect the user's emotions. The output is the recognized emotion data. 【0763】 Step 4: 【0764】 The server receives emotional data sent from the emotion engine and incorporates it into the initial travel plan. The server then generates prompts using a generative AI model and adjusts the plan. The output is the adjusted travel plan. 【0765】 Step 5: 【0766】 The adjusted travel plan is displayed again on the user's device, and the user reviews the plan. If the device captures user feedback at this time, it is processed as additional sentiment data. The output is the user's feedback and final approval. 【0767】 Step 6: 【0768】 After final approval from the user, the server automatically makes reservations for accommodations and leisure facilities. The server processes these reservation details and sends confirmation information to the user's terminal. The output is reservation confirmation information. 【0769】 Step 7: 【0770】 The server adjusts the timing and method of sending confirmation information based on the final analysis results from the emotion engine. It notifies the user at the optimal time. The output is an optimized notification. 【0771】 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0772】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0773】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0774】 Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion. 【0775】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0776】 These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression. 【0777】 The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become. 【0778】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0779】 The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more." 【0780】 The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values. 【0781】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0782】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0783】 In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56. 【0784】 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. 【0785】 Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56. 【0786】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using this memory. 【0787】 The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor. 【0788】 Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources. 【0789】 Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose. 【0790】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0791】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0792】 The following is further disclosed regarding the embodiments described above. 【0793】 (Claim 1) 【0794】 A means of generating the optimal travel plan based on conditions entered by travelers, 【0795】 A means of collecting local tourism information by utilizing information from local governments and facilities, 【0796】 A means of automatically making reservations for accommodations and leisure facilities based on the generated travel plan, 【0797】 A means for displaying travel plans and reservation information on a user terminal, 【0798】 A system that includes this. 【0799】 (Claim 2) 【0800】 The system according to claim 1, which creates a travel plan including an efficient route based on the regions and activities that the traveler is interested in. 【0801】 (Claim 3) 【0802】 The system according to claim 1, which completes the booking process and sends confirmation information to the user after receiving approval from the traveler. 【0803】 "Example 1" 【0804】 (Claim 1) 【0805】 A means of receiving conditions entered by travelers from a terminal, 【0806】 A means of searching a database and obtaining relevant information based on the said conditions, 【0807】 A means for generating a travel plan that takes into account the user's budget and travel efficiency based on the acquired information, 【0808】 A means of automatically making reservations for accommodations and leisure facilities based on the generated travel plan, 【0809】 A means for displaying travel plans and reservation information on a user terminal, 【0810】 A system that includes this. 【0811】 (Claim 2) 【0812】 The system according to claim 1, which uses a generation algorithm to create a travel plan that includes an efficient travel route based on the activities that travelers are interested in. 【0813】 (Claim 3) 【0814】 The system according to claim 1, which completes the booking process and sends confirmation information to the user after receiving approval from the traveler. 【0815】 "Application Example 1" 【0816】 (Claim 1) 【0817】 A means of generating the optimal travel plan based on conditions entered by travelers, 【0818】 A means of collecting local tourism information by utilizing information from local governments and facilities, 【0819】 A means of automatically making reservations for accommodations and leisure facilities based on the generated travel plan, 【0820】 A means for displaying travel plans and reservation information on a user terminal, 【0821】 A means of managing electronic payments and executing payment procedures within a predetermined scope based on the travel plan, 【0822】 A system that includes this. 【0823】 (Claim 2) 【0824】 The system according to claim 1, which creates a travel plan including efficient travel routes based on the regions and activities of interest to travelers, and enables a lump-sum payment during the itinerary. 【0825】 (Claim 3) 【0826】 The system according to claim 1, which completes the booking process and electronic payment after receiving approval from the traveler and sends confirmation information to the user. 【0827】 "Example 2 of combining an emotion engine" 【0828】 (Claim 1) 【0829】 A means of generating the optimal travel plan based on conditions entered by travelers, 【0830】 A means of collecting local tourism information by utilizing information from external sources, 【0831】 A means of automatically making facility reservations based on the generated travel plan, 【0832】 A means of displaying travel plans and reservation information on an information terminal, 【0833】 A means of determining a traveler's emotions using an emotion analysis engine and adjusting the travel plan based on those emotions, 【0834】 A system that includes this. 【0835】 (Claim 2) 【0836】 The system according to claim 1, which creates a travel plan including an efficient travel route based on the areas and activities of interest to the traveler, and reflects sentiment analysis data. 【0837】 (Claim 3) 【0838】 The system according to claim 1, which completes the booking process after receiving approval from the traveler, transmits confirmation information to an information terminal, and selects the optimal transmission timing and method based on the sentiment analysis results. 【0839】 "Application example 2 when combining with an emotional engine" 【0840】 (Claim 1) 【0841】 A means of generating the optimal travel plan based on conditions entered by travelers, 【0842】 A means of collecting local tourism information by utilizing information from local governments and facilities, 【0843】 A means of analyzing the user's feelings towards selected travel conditions and adjusting the travel plan, 【0844】 A means of presenting alternative travel plans generated by an emotion engine based on processed emotion data, 【0845】 A means of automatically making reservations for accommodations and leisure facilities based on the generated travel plan, 【0846】 A means for displaying travel plans and reservation information on a user terminal, 【0847】 A system that includes this. 【0848】 (Claim 2) 【0849】 The system according to claim 1, which creates a travel plan including an efficient route based on the regions and activities that the traveler is interested in, and proposes it while taking into account the user's emotional state. 【0850】 (Claim 3) 【0851】 The system according to claim 1, which completes the booking process after receiving approval from the traveler, sends confirmation information to the user, and adjusts the timing and method of sending the information according to the results of sentiment analysis. [Explanation of symbols] 【0852】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A means of generating the optimal travel plan based on conditions entered by travelers, A means of collecting local tourism information by utilizing information from local governments and facilities, A means of automatically making reservations for accommodations and leisure facilities based on the generated travel plan, A means for displaying travel plans and reservation information on a user terminal, A system that includes this. [Claim 2] The system according to claim 1, which creates a travel plan including an efficient travel route based on the regions and activities that the traveler is interested in. [Claim 3] The system according to claim 1, which completes the booking process and sends confirmation information to the user after receiving approval from the traveler.

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