system

Abstract

We provide the system. [Solution] A means of receiving travel preference information from users, A means of collecting timetable information and store opening hours information in real time, A means of generating the optimal travel plan based on the collected information, A means of checking and proposing the availability of the service based on the generated plan, A means to present travel plans to users and allow users to adjust the plans, A means to review and record the final plan after adjustments, 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, the method 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 in 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】 When making a travel plan, many people spend time selecting destinations and arranging schedules. Especially when visiting a place for the first time, it is necessary to check in real time information such as local transportation and business hours of facilities. In addition, there is also the trouble of making individual reservations for meals and activities, so there is a problem that these adjustment and confirmation operations cannot be carried out smoothly. The object of this invention is to reduce the workload of such travel planning and provide an efficient and optimal travel experience. 【Means for Solving the Problems】 【0005】 This invention provides a system that automatically generates an optimal travel plan by collecting real-time data on transportation methods and the operating hours of destinations based on travel preferences entered by the user. Furthermore, it provides an interface that allows the user to freely adjust the generated plan by checking the availability of services such as restaurant and activity reservations, thereby streamlining travel planning. The system also presents the final plan to the user and records it, enabling smooth support on the day of travel. 【0006】 A "user" refers to an individual or group that uses the system to customize their travel plans. 【0007】 "Travel preference information" refers to all the information that users enter into the system, such as places to visit, meal preferences, and modes of transportation. 【0008】 "Collecting data in real time" refers to the process of instantly obtaining the latest information from the internet or other data sources. 【0009】 "Timetable information" refers to detailed information about the operating schedules of public transportation. 【0010】 "Store opening hours information" refers to information regarding the opening and closing times of restaurants, tourist facilities, and other similar establishments. 【0011】 An "optimal travel plan" refers to a travel schedule that combines an efficient and satisfying order of visits and modes of transportation, based on the user's preferences and the information gathered. 【0012】 "Checking availability" refers to the process of verifying whether a restaurant or activity can be booked through availability checks or reservation systems. 【0013】 "Presenting to the user" means showing the generated travel plan to the user in visual or document format. 【0014】 "The means for adjustment" refers to an interface or function that allows the user to edit the presented travel plan and make changes according to their needs. 【0015】 "Confirm and record the final plan" refers to the process of the user making a final decision on the travel plan obtained as a result of the adjustment and saving it in the system. 【Brief Explanation of Drawings】 【0016】 [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine. 【Mode for Carrying Out the Invention】 【0017】 Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0018】 First, the terms used in the following description will be explained. 【0019】 In the following embodiments, a numbered 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. 【0020】 In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0021】 In the following embodiments, a numbered 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, etc. 【0022】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0023】 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." 【0024】 [First Embodiment] 【0025】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0026】 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. 【0027】 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). 【0028】 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. 【0029】 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. 【0030】 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. 【0031】 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. 【0032】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0033】 As shown in Figure 2, in the data processing device 12, a 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. 【0034】 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. 【0035】 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. 【0036】 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". 【0037】 This invention provides a system that enables users to efficiently create travel plans. The system offers an interface that allows users to easily input their travel preferences. These preferences include places to visit, preferred modes of transportation, and types of activities and meals of interest. 【0038】 First, the server uses the internet to collect necessary data in real time based on the user's requests. Specifically, it retrieves public transportation timetables from relevant APIs and databases, and also collects information on the operating hours of restaurants and facilities near the destination. 【0039】 Next, the server analyzes the collected information and automatically generates an optimal travel plan that takes into account transportation options and available visiting times. This plan includes an efficient order of visits, detailed information on transportation, and suggested durations for each location. It also checks the availability of restaurants and activities and suggests whether reservations are possible. 【0040】 The generated plan is presented to the user via their device. Based on the presented plan, the user can adjust the order and timing of visits as desired. This flexibility in adjustment allows the user to customize their itinerary in more detail. 【0041】 Finally, the device saves the user's finalized and adjusted plan and provides it in a format usable on the day of travel. The system can also include optional features for schedule management and navigation support on the day of travel. 【0042】 As a concrete example, consider a case where a user wishes to "enjoy a Japanese lunch in Tokyo and visit Asakusa and Tokyo Skytree." In this case, the server retrieves train timetables within Tokyo, checks for available seats at Japanese restaurants, and collects the opening hours of Asakusa and Tokyo Skytree. As a result, a plan is generated that includes sightseeing in Asakusa in the morning, lunch at a designated Japanese restaurant, and a visit to Tokyo Skytree in the afternoon. The user can then adjust the details to enjoy their ideal travel experience. 【0043】 The following describes the processing flow. 【0044】 Step 1: 【0045】 The user enters their travel preferences into the terminal. This includes places they want to visit, meal preferences, preferred modes of transportation, and travel dates. The information is submitted through a dedicated input form. 【0046】 Step 2: 【0047】 The server analyzes the user's requested information and accesses various relevant APIs and databases to collect the latest timetable information and facility opening hours. This includes checking public transport operation data, restaurant seating availability, and tourist attraction opening hours. 【0048】 Step 3: 【0049】 The server automatically generates a travel plan based on the collected data, taking into account efficient routes and order of visits. It calculates the optimal mode of transportation and time for each destination, creating a schedule tailored to the user. 【0050】 Step 4: 【0051】 The server checks the availability of restaurants and activities planned within the generated plan, and if booking is required, it incorporates that information into the plan. This enables the server to suggest bookings to the user. 【0052】 Step 5: 【0053】 The device presents the generated travel plan to the user. At this stage, the plan is provided in a timeline format or displayed on a map, allowing the user to visually grasp the overall picture. 【0054】 Step 6: 【0055】 Users can review the presented plan and adjust the order of visits, times, and transportation methods as needed. The plan can be edited to match the user's preferences, and new information can be saved. 【0056】 Step 7: 【0057】 The device records the finalized plan and prepares it for use on the day of travel. The plan can be used in a printable format or as digital navigation, supporting a smooth trip on the day. 【0058】 (Example 1) 【0059】 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." 【0060】 Traditional travel planning systems have struggled to provide efficient travel plans that accurately reflect user preferences. In particular, they lacked the ability to gather information in real time and the flexibility to adjust plans as needed. 【0061】 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. 【0062】 In this invention, the server includes means for obtaining travel preferences from the user, means for obtaining real-time information on transportation methods and facility usage times from external sources, and means for creating an optimal itinerary based on the obtained information. This makes it possible to create and provide efficient and flexible travel plans that meet the user's preferences. 【0063】 "Means of obtaining travel preferences from users" refers to a function that provides an interface for users to input information such as places they want to visit, methods of transportation, and activities they are interested in when creating a travel plan. 【0064】 "Means of obtaining real-time travel information and facility operating hours from external sources" refers to a function that obtains real-time information such as public transport timetables and the operating hours of facilities to be visited from external databases or APIs. 【0065】 "A means of creating the optimal itinerary based on acquired information" refers to a function that automatically generates a travel plan that combines an efficient order of visits and means of transportation, taking into account collected information on transportation and facility opening hours. 【0066】 "Means for optimizing the order of visits based on user preferences" refers to a function that calculates the most effective order of visits, taking into account the locations and activities specified by the user. 【0067】 "Means for calculating the optimal route for travel" refers to a function that calculates efficient means of transportation and routes from the user's starting point to their destination, and proposes the optimal travel route. 【0068】 This invention provides a system that allows users to create efficient and personalized travel plans. The main components of this system are a terminal that acquires desired information from the user, a server that analyzes the information and generates an optimal plan, and a terminal that presents and saves the final plan to the user. 【0069】 Users input travel preferences using their devices. This information includes places they want to visit, preferred modes of transportation, and activities they are interested in. The user interface can be implemented as a web browser or mobile application, and the entered information is quickly transmitted to the server. 【0070】 The server collects necessary data in real time from external sources based on the information it receives. This data collection utilizes APIs for public transport timetables and databases providing restaurant reservation information. The server analyzes the collected data and generates an optimal travel plan based on the user's preferences. By using a generative AI model, it can quickly evaluate various options and suggest efficient visiting sequences and modes of transportation. 【0071】 The generated plan is presented to the user again via the device. The user can review this plan and freely adjust the order and timing of visits. The final adjusted plan is saved on the device and remains accessible on the day of travel. It also includes features that provide support for navigation and schedule management on the day of travel. 【0072】 As a concrete example, consider a case where a user wishes to "enjoy a Japanese lunch in Tokyo and visit Asakusa and Tokyo Skytree." In this case, the server collects train timetables in Tokyo and information on available seats at Japanese restaurants, and checks the opening hours of Asakusa and Tokyo Skytree. As a result, a plan is generated in which the user will sightsee in Asakusa in the morning, have lunch at a designated Japanese restaurant, and then visit Tokyo Skytree in the afternoon. This plan is presented to the user, who can adjust it as needed to enjoy a travel experience that better suits their preferences. 【0073】 An example of a prompt message would be, "I'd like to enjoy a Japanese lunch in Tokyo. I'd like to visit Asakusa and Tokyo Skytree." This allows the system to efficiently perform data analysis and plan generation based on the user's specific wishes. 【0074】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0075】 Step 1: 【0076】 Users enter their travel preferences into the terminal. Specifically, they enter information such as places they want to visit, modes of transportation, activities of interest, and food preferences in a form format. This information is sent to the server as input data. Users can review the information on the terminal screen and make corrections as needed. Once the final input is confirmed, it functions as output to the server. 【0077】 Step 2: 【0078】 The server collects data in real time from relevant external sources based on the entered user information. It obtains public transport timetables and opening hours information for planned visits via APIs and online databases. This collected data is stored on the server as foundational data to fulfill user requests. The server analyzes the input information and selects the necessary data. 【0079】 Step 3: 【0080】 The server uses the collected data to generate a travel plan that best suits the user's preferences. This process utilizes a generative AI model that combines input data with real-time information to calculate the most efficient order of visits and travel methods, ultimately deriving an optimized plan. For example, it might automatically rearrange the order of visits and output a plan that minimizes travel costs and time. 【0081】 Step 4: 【0082】 The generated travel plan is presented to the user again via the device. The user can review this plan and adjust the order of visits, duration of stays, and additional activities. Intuitive operation is possible using features such as drag-and-drop on the device. The adjusted information is sent back to the server, allowing the plan to be updated based on user feedback. 【0083】 Step 5: 【0084】 The device saves the user's finalized plan and provides it in a format usable on the day of travel. The saved plan is integrated into the device's calendar function and used for managing the schedule on the day of travel. Data is cached on the device for offline access. Navigation and reminder functions are also provided to encourage users to act according to their plan. 【0085】 (Application Example 1) 【0086】 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." 【0087】 Current travel planning systems require users to consult multiple sources individually, making the process cumbersome and time-consuming. Furthermore, they struggle to efficiently incorporate real-time information, making it difficult to respond quickly to changes in plans during a trip. This makes it challenging to enhance traveler satisfaction. 【0088】 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. 【0089】 In this invention, the server includes a device for receiving travel preference information from the user, a device for collecting timetable information and facility operating hours information in real time, and a device for aggregating data on public transportation, tourist facilities, and restaurants and proposing the optimal spatiotemporal location to the user. This enables the user to efficiently and flexibly create and adjust travel plans on a single platform. 【0090】 A "user" is an individual or group that provides desired information regarding travel and transportation. 【0091】 "Travel preferences" include information about places you want to visit, modes of transportation you'd like to use, and types of activities and food you're interested in. 【0092】 A "device" is a hardware or software component used to collect, analyze, and display information. 【0093】 "Timetable information" refers to data on the operating hours of public transportation and facilities. 【0094】 "Facility operating hours information" refers to information regarding the availability of a specific facility or service. 【0095】 A "travel plan" is a suggestion of the optimal itinerary and route for a user's trip or travel, built based on the collected information. 【0096】 "Reservation availability" indicates whether or not it is possible to make a reservation in advance to use a particular service or facility. 【0097】 The "final plan" refers to the final schedule for travel or movement that has been finalized after adjustments have been made by the user. 【0098】 "Public transportation" refers to means of transport such as trains, buses, and taxis that are available to the general public. 【0099】 A "tourist facility" refers to a place of interest, such as a landmark, museum, or theme park, that is intended for travelers to visit. 【0100】 A "food and beverage establishment" is a place that serves food and drinks, including restaurants and cafes. 【0101】 "Spatiotemporal position" is a concept that indicates a specific geographical location at a specific time. 【0102】 The system for realizing this application includes server, terminal, and user elements. The server plays a central role in travel planning. Specifically, the server receives travel preference information from the user and collects timetable information and facility operating hours information in real time. This process involves using APIs and databases to retrieve information from the internet. The server has the function of aggregating data related to a specific location and suggesting the optimal spatiotemporal location to the user. The software used includes libraries for data analysis and API clients for acquiring real-time data. 【0103】 Furthermore, the server generates an optimal travel plan based on the collected information and checks for booking availability. It utilizes a generation AI model to create and present prompt messages to improve the efficiency of the travel plan and user satisfaction. An example of such a prompt message would be: "Please create an optimal travel plan based on the user's desired destinations and preferences. I would like to efficiently visit tourist attractions in Osaka while enjoying takoyaki." 【0104】 The terminal presents information from the server to the user and provides an interface for making adjustments. The user can use this interface to customize the presented plan to their individual circumstances. The final travel plan is reviewed, recorded on the terminal, and made accessible in a format usable on the day of travel. 【0105】 The hardware requires a high-performance processor and network connectivity within the server, as well as the user's smartphone or tablet device. The software utilizes programming languages ​​such as Python, and external APIs such as Google Maps Platform. This allows users to efficiently plan and coordinate their trips within a single platform. 【0106】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0107】 Step 1: 【0108】 The server receives travel preference information from the user. This input includes the user's specified destinations, preferred modes of transportation, and information about activities and meals of interest. Upon receiving this data, the server parses it and converts it into a format suitable for further processing. 【0109】 Step 2: 【0110】 The server collects timetable information and facility operating hours information in real time. Inputs include public transportation timetables and facility operation information obtained from the internet. The server uses an API to retrieve this data and extracts relevant information based on the user's preferences. 【0111】 Step 3: 【0112】 The server generates an optimal travel plan based on the collected information. The input is the information from Step 1 and Step 2, which the generating AI model uses to calculate the optimal order of visits and means of transportation. The output is the proposed travel plan. 【0113】 Step 4: 【0114】 The server checks the availability of activities based on the generated plan. Input includes the generated travel plan and the booking status of each facility. The server accesses the booking system to check the availability of each facility. As a result, it outputs a list of available activities. 【0115】 Step 5: 【0116】 The terminal presents a travel plan to the user and provides an interface that allows the user to adjust the plan. The input is a travel plan sent from the server, which the terminal displays. The user can then adjust the order and timing of visits within the displayed plan. 【0117】 Step 6: 【0118】 The device reviews and records the final plan adjusted by the user. The input is the plan confirmed by the user, and the device saves this plan for use on the day of travel. The output is the finalized travel plan. 【0119】 These steps enable the system to efficiently support the user's travel planning and allow for flexible adjustments. Furthermore, by using prompts, the generative AI model can provide a travel experience tailored to the user's preferences. 【0120】 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. 【0121】 This invention is a system that receives travel preference information from a user, recognizes the user's emotions using an emotion engine, and provides an optimal travel plan based on these emotions. This system aims to provide more personalized suggestions, particularly by considering the impact of the user's emotional state on the travel experience. 【0122】 Users use a device to input their travel preferences, including places they want to visit, desired activities, modes of transportation, and travel budget. The device also incorporates an emotion engine that analyzes the user's emotional state in real time based on their voice, facial expressions, and interaction data. 【0123】 The server receives user-entered preferences and emotional data from the emotion engine, and automatically generates a travel plan based on this information. Based on the emotional data, the server makes suggestions to reduce the user's stress and selects destinations that will be more enjoyable. For example, if a tendency to seek relaxation is recognized, the system will recommend visiting calm tourist destinations or spa resorts. 【0124】 The generated travel plan is presented to the user via their device. The plan includes suggestions for the optimal order of visits and modes of transportation, and the user can freely adjust the presented content. The emotion engine helps reduce the user's psychological burden when adjusting the plan. 【0125】 As a concrete example, consider a scenario where a user is planning a sightseeing trip in Tokyo, and the emotion engine detects the user's fatigue level. In this case, the server will either generate a plan that minimizes travel or suggest a plan that includes many relaxing activities. 【0126】 Once the final plan is confirmed, the device saves the information and provides necessary guidance functions to support the user's travel on the day of the trip. Furthermore, the emotion engine monitors the user's emotional state throughout the trip and suggests adjustments in real time to avoid situations that cause excessive stress or dissatisfaction. 【0127】 In this way, this system can adapt to the user's emotions and provide a more personalized travel experience. 【0128】 The following describes the processing flow. 【0129】 Step 1: 【0130】 Users input their travel preferences through the device. This information includes their destination, desired activities, mode of transportation, and budget. The device also senses the user's voice and facial expressions, and an emotion engine analyzes the user's emotional state. 【0131】 Step 2: 【0132】 The device uses an emotion engine to acquire emotional data, which is then sent to a server. This data indicates the user's emotions, such as how excited, stressed, or relaxed they are. 【0133】 Step 3: 【0134】 The server generates the optimal travel plan based on the received emotional data and travel preference information. Here, it takes the user's emotional state into consideration, prioritizing a relaxing schedule and stress-reducing modes of transportation. 【0135】 Step 4: 【0136】 The server collects real-time information on transportation schedules and opening hours for tourist attractions and restaurants, and combines this with sentiment data to build detailed plans. For example, if relaxation is needed, a spa or nature park might be added to the destination. 【0137】 Step 5: 【0138】 The device presents the user with a generated travel plan. This plan includes estimated travel time, modes of transportation, and order of visits. It also displays personalized suggestions tailored to the user's mood and adjustable options. 【0139】 Step 6: 【0140】 Users can review their travel plans and make adjustments based on their emotional state and new preferences. For example, they can change the order of visits or select options to reduce travel time. 【0141】 Step 7: 【0142】 The device records the final plan confirmed by the user and provides notifications and support functions according to the travel itinerary. Furthermore, it monitors the user's emotional state during the trip and provides real-time suggestions for stress reduction as needed. 【0143】 (Example 2) 【0144】 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". 【0145】 Traditional travel planning systems created plans based solely on user preferences, without considering their emotional state. This often resulted in users experiencing stress and dissatisfaction during their trips, making it difficult to provide a personalized and satisfying experience. Furthermore, the inability to respond to real-time changes in emotional states made it challenging to appropriately address unexpected situations during travel. 【0146】 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. 【0147】 In this invention, the server includes means for receiving travel preference information from the user, means for recognizing the user's emotional state, and means for generating an optimized travel plan based on the recognized emotional state and travel preference information. This enables the provision of personalized travel plans that respond to the user's emotions and flexible plan modifications in real time. 【0148】 A "user" refers to an individual or group that utilizes a travel service, and is the entity that provides the system with data on their preferences and emotional state. 【0149】 "Travel preferences" refer to the conditions and requests that users have for their trip, including details such as destinations, activities, transportation, and budget. 【0150】 "Emotional state" refers to the user's psychological and physiological state, and includes emotional tendencies analyzed from voice tone, facial expressions, behavioral data, etc. 【0151】 A "travel plan" is a plan that includes a detailed travel schedule and activity suggestions that are automatically generated based on the user's preferences and emotional state. 【0152】 "Monitoring" refers to the process of tracking users' emotional states in real time, analyzing the data as needed, and developing countermeasures. 【0153】 To implement this invention, the user, terminal, and server each play a specific role. 【0154】 User roles: 【0155】 As a user of the travel service, the user enters their travel preferences into the terminal. This includes information such as places they wish to visit, desired activities, mode of transportation, and travel budget. This allows the system to accurately understand the user's needs. 【0156】 Terminal role: 【0157】 The device incorporates an emotion engine that analyzes the user's voice, facial expressions, and motion data in real time. This emotion engine may utilize existing commercial software; for example, open-source libraries or cloud-based emotion analysis APIs are available. The emotion engine accurately grasps the user's psychological state and prepares the data to be sent to the server. 【0158】 Server role: 【0159】 The server generates a travel plan based on the user's preferences and emotional data received from the terminal. This process utilizes a generative AI model. For example, natural language processing and machine learning algorithms are used to suggest the most suitable tourist destinations based on the user's emotional state. If the user is seeking relaxation, the system will recommend quiet tourist destinations or spa resorts. 【0160】 As a concrete example, suppose a user wants to travel to Tokyo, and the emotion engine detects the user's fatigue. In this case, the server generates and proposes a plan that involves less travel and focuses on relaxing activities. The user can then review the proposal and make adjustments as needed. 【0161】 An example of a prompt in a generative AI model is: "Please suggest a relaxing sightseeing plan in Tokyo. If the user is tired, please suggest activities that minimize travel." 【0162】 This allows users to enjoy a trip optimized for their emotional state. The system individually tailors the user's experience, enabling a more fulfilling travel experience. 【0163】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0164】 Step 1: 【0165】 The user enters travel preferences through the terminal. This information includes places to visit, desired activities, budget, and mode of transportation. The terminal receives this input, converts it into a digital format, and prepares it for further processing. The entered information is stored as data that is sent directly to the server. 【0166】 Step 2: 【0167】 The device activates its built-in emotion engine to analyze the user's voice, facial expressions, and actions in real time. This process utilizes the user's nonverbal communication data as input. The emotion engine analyzes this data to quantify the user's emotional state and extracts it as emotion data. The generated emotion data is then ready to be sent to the server. 【0168】 Step 3: 【0169】 The server receives preference information and sentiment data sent from the terminal. Using both data as input, the server begins the process of creating a travel plan tailored to the user using a generative AI model. The generative AI model analyzes each data point and generates the most appropriate travel plan. This plan includes an optimized combination of suggested destinations, schedules, and modes of transportation. 【0170】 Step 4: 【0171】 The travel plan generated on the server is sent to the terminal. The terminal visually presents the received travel plan to the user. The user can review the plan and, if necessary, change destinations or adjust the schedule. User feedback is processed on the terminal and sent back to the server. 【0172】 Step 5: 【0173】 Once the trip begins, the device continues to use the emotion engine to monitor the user's emotional state. The real-time emotional data is sent to the server as supporting information when unexpected situations arise. Based on this data, the server optimizes the plan and issues real-time suggestions to provide the user with a better travel experience. 【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 the "server," and the smart device 14 will be referred to as the "terminal." 【0176】 Conventional travel planning systems have difficulty considering the emotional state of users, making it impossible to provide travel plans tailored to individual needs. As a result, users often experience excessive stress during their trips or are not able to have the experiences they hoped for. This invention aims to enable the automatic generation of travel plans that take user emotions into consideration. 【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 receiving travel request information from the user, means for collecting timetable information and store operating information in real time, and means for analyzing the user's emotional state using emotion estimation technology and adjusting the travel plan based on the results. This enables the provision of an optimal travel plan based on the user's emotions, resulting in a more satisfying travel experience. 【0179】 A "user" is someone who provides travel preferences and receives an optimized travel plan. 【0180】 "Travel request information" refers to data that includes information such as places the user wants to visit, desired activities, and budget when traveling. 【0181】 "Timetable information" refers to data related to the operating schedules of public transportation. 【0182】 "Store opening hours information" refers to information regarding the opening and closing times of commercial facilities and tourist destinations. 【0183】 "Emotion estimation technology" is a technology that analyzes a user's emotional state in real time from their facial expressions, voice, and other interactions. 【0184】 A "travel plan" is a document outlining the places to visit, modes of transportation, schedule, and other related services for a trip. 【0185】 "Transportation" refers to the methods of travel, including various modes of transport available to the user during their trip. 【0186】 "Optimization" refers to adjusting travel plans based on user requests and emotional states to create the optimal conditions for maximum satisfaction. 【0187】 The system for implementing this invention is realized through the cooperation of a user's terminal and a server in the cloud. The user's terminal is equipped with an input interface for travel preference information and an emotion recognition function that enables emotion estimation technology. This function utilizes the OpenCV library for facial recognition and the Google Speech-to-Text API for speech analysis. 【0188】 Users input travel requests using their devices, and in addition, their emotional state is detected through voice and facial expressions. This allows the system to analyze the user's psychological state in real time, and this information is sent to a server. The server processes this data using AWS® Lambda and generates an optimal travel plan based on the user's emotional state. This plan includes elements such as destinations, length of stay, and recommended activities. 【0189】 The generated travel plan is presented to the user via the device, and the user can adjust the proposed plan. The final plan is confirmed by the user and recorded in the system. The device also monitors the user's emotional state during the trip and prompts real-time adjustments to the plan as needed. 【0190】 As a concrete example, consider a scenario where a user requests a tourist destination they want to visit during peak season. When the user's device detects an emotional state indicating stress, the server can create an alternative plan to avoid the peak season at the destination. By adapting to emotions, a more personalized and fulfilling travel experience can be achieved. 【0191】 Example prompt for the generating AI model: "When the user's facial expression indicates calmness, generate a plan suggesting a tranquil and relaxing place. For example, an art museum or a forest bath would be preferable." 【0192】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0193】 Step 1: 【0194】 The user enters travel request information using the device. This information includes places they want to visit, desired activities, and budget. This information is temporarily stored in a database inside the device. 【0195】 Step 2: 【0196】 The device senses the user's facial expressions and voice in real time and analyzes their emotional state using emotion estimation technology. Image data is processed using the OpenCV library, voice data is converted to text using the Google Speech-to-Text API, and an emotion recognition algorithm determines the user's emotional state based on this data. 【0197】 Step 3: 【0198】 The device sends user request information and analyzed emotional state data to the server. The data is structured in JSON format and formatted for easy processing by the server. 【0199】 Step 4: 【0200】 The server uses AWS Lambda to process data based on the user's request information and sentiment data received. It collects timetable information and store opening hours in real time to generate an optimal travel plan. In plan generation, destinations and activities are selected based on the user's sentiment state. 【0201】 Step 5: 【0202】 The generated travel plan is sent from the server to the terminal and displayed on the terminal. The user can review the plan through the terminal's interface and make adjustments as needed. 【0203】 Step 6: 【0204】 The user's final travel plan is confirmed by the device and recorded in the system's database. This record is then used to prepare for the day of travel. 【0205】 Step 7: 【0206】 Throughout the trip, the device continues to use emotion estimation technology to continuously monitor the user's emotional state. If excessive stress is detected, the device communicates with the server to suggest adjustments to the plan in real time. 【0207】 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. 【0208】 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. 【0209】 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. 【0210】 [Second Embodiment] 【0211】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0212】 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. 【0213】 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). 【0214】 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. 【0215】 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. 【0216】 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). 【0217】 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. 【0218】 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. 【0219】 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. 【0220】 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. 【0221】 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. 【0222】 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". 【0223】 This invention provides a system that enables users to efficiently create travel plans. The system offers an interface that allows users to easily input their travel preferences. These preferences include places to visit, preferred modes of transportation, and types of activities and meals of interest. 【0224】 First, the server uses the internet to collect necessary data in real time based on the user's requests. Specifically, it retrieves public transportation timetables from relevant APIs and databases, and also collects information on the operating hours of restaurants and facilities near the destination. 【0225】 Next, the server analyzes the collected information and automatically generates an optimal travel plan that takes into account transportation options and available visiting times. This plan includes an efficient order of visits, detailed information on transportation, and suggested durations for each location. It also checks the availability of restaurants and activities and suggests whether reservations are possible. 【0226】 The generated plan is presented to the user via their device. Based on the presented plan, the user can adjust the order and timing of visits as desired. This flexibility in adjustment allows the user to customize their itinerary in more detail. 【0227】 Finally, the device saves the user's finalized and adjusted plan and provides it in a format usable on the day of travel. The system can also include optional features for schedule management and navigation support on the day of travel. 【0228】 As a concrete example, consider a case where a user wishes to "enjoy a Japanese lunch in Tokyo and visit Asakusa and Tokyo Skytree." In this case, the server retrieves train timetables within Tokyo, checks for available seats at Japanese restaurants, and collects the opening hours of Asakusa and Tokyo Skytree. As a result, a plan is generated that includes sightseeing in Asakusa in the morning, lunch at a designated Japanese restaurant, and a visit to Tokyo Skytree in the afternoon. The user can then adjust the details to enjoy their ideal travel experience. 【0229】 The following describes the processing flow. 【0230】 Step 1: 【0231】 The user enters their travel preferences into the terminal. This includes places they want to visit, meal preferences, preferred modes of transportation, and travel dates. The information is submitted through a dedicated input form. 【0232】 Step 2: 【0233】 The server analyzes the user's requested information and accesses various relevant APIs and databases to collect the latest timetable information and facility opening hours. This includes checking public transport operation data, restaurant seating availability, and tourist attraction opening hours. 【0234】 Step 3: 【0235】 The server automatically generates a travel plan based on the collected data, taking into account efficient routes and order of visits. It calculates the optimal mode of transportation and time for each destination, creating a schedule tailored to the user. 【0236】 Step 4: 【0237】 The server checks the availability of restaurants and activities planned within the generated plan, and if booking is required, it incorporates that information into the plan. This enables the server to suggest bookings to the user. 【0238】 Step 5: 【0239】 The device presents the generated travel plan to the user. At this stage, the plan is provided in a timeline format or displayed on a map, allowing the user to visually grasp the overall picture. 【0240】 Step 6: 【0241】 Users can review the presented plan and adjust the order of visits, times, and transportation methods as needed. The plan can be edited to match the user's preferences, and new information can be saved. 【0242】 Step 7: 【0243】 The device records the finalized plan and prepares it for use on the day of travel. The plan can be used in a printable format or as digital navigation, supporting a smooth trip on the day. 【0244】 (Example 1) 【0245】 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." 【0246】 Traditional travel planning systems have struggled to provide efficient travel plans that accurately reflect user preferences. In particular, they lacked the ability to gather information in real time and the flexibility to adjust plans as needed. 【0247】 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. 【0248】 In this invention, the server includes means for obtaining travel preferences from the user, means for obtaining real-time information on transportation methods and facility usage times from external sources, and means for creating an optimal itinerary based on the obtained information. This makes it possible to create and provide efficient and flexible travel plans that meet the user's preferences. 【0249】 "Means of obtaining travel preferences from users" refers to a function that provides an interface for users to input information such as places they want to visit, methods of transportation, and activities they are interested in when creating a travel plan. 【0250】 "Means of obtaining real-time travel information and facility operating hours from external sources" refers to a function that obtains real-time information such as public transport timetables and the operating hours of facilities to be visited from external databases or APIs. 【0251】 "A means of creating the optimal itinerary based on acquired information" refers to a function that automatically generates a travel plan that combines an efficient order of visits and means of transportation, taking into account collected information on transportation and facility opening hours. 【0252】 "Means for optimizing the order of visits based on user preferences" refers to a function that calculates the most effective order of visits, taking into account the locations and activities specified by the user. 【0253】 "Means for calculating the optimal route for travel" refers to a function that calculates efficient means of transportation and routes from the user's starting point to their destination, and proposes the optimal travel route. 【0254】 This invention provides a system that allows users to create efficient and personalized travel plans. The main components of this system are a terminal that acquires desired information from the user, a server that analyzes the information and generates an optimal plan, and a terminal that presents and saves the final plan to the user. 【0255】 Users input travel preferences using their devices. This information includes places they want to visit, preferred modes of transportation, and activities they are interested in. The user interface can be implemented as a web browser or mobile application, and the entered information is quickly transmitted to the server. 【0256】 The server collects necessary data in real time from external sources based on the information it receives. This data collection utilizes APIs for public transport timetables and databases providing restaurant reservation information. The server analyzes the collected data and generates an optimal travel plan based on the user's preferences. By using a generative AI model, it can quickly evaluate various options and suggest efficient visiting sequences and modes of transportation. 【0257】 The generated plan is presented to the user again via the device. The user can review this plan and freely adjust the order and timing of visits. The final adjusted plan is saved on the device and remains accessible on the day of travel. It also includes features that provide support for navigation and schedule management on the day of travel. 【0258】 As a concrete example, consider a case where a user wishes to "enjoy a Japanese lunch in Tokyo and visit Asakusa and Tokyo Skytree." In this case, the server collects train timetables in Tokyo and information on available seats at Japanese restaurants, and checks the opening hours of Asakusa and Tokyo Skytree. As a result, a plan is generated in which the user will sightsee in Asakusa in the morning, have lunch at a designated Japanese restaurant, and then visit Tokyo Skytree in the afternoon. This plan is presented to the user, who can adjust it as needed to enjoy a travel experience that better suits their preferences. 【0259】 An example of a prompt message would be, "I'd like to enjoy a Japanese lunch in Tokyo. I'd like to visit Asakusa and Tokyo Skytree." This allows the system to efficiently perform data analysis and plan generation based on the user's specific wishes. 【0260】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0261】 Step 1: 【0262】 Users enter their travel preferences into the terminal. Specifically, they enter information such as places they want to visit, modes of transportation, activities of interest, and food preferences in a form format. This information is sent to the server as input data. Users can review the information on the terminal screen and make corrections as needed. Once the final input is confirmed, it functions as output to the server. 【0263】 Step 2: 【0264】 The server collects data in real time from relevant external sources based on the entered user information. It obtains public transport timetables and opening hours information for planned visits via APIs and online databases. This collected data is stored on the server as foundational data to fulfill user requests. The server analyzes the input information and selects the necessary data. 【0265】 Step 3: 【0266】 The server uses the collected data to generate a travel plan that best suits the user's preferences. This process utilizes a generative AI model that combines input data with real-time information to calculate the most efficient order of visits and travel methods, ultimately deriving an optimized plan. For example, it might automatically rearrange the order of visits and output a plan that minimizes travel costs and time. 【0267】 Step 4: 【0268】 The generated travel plan is presented to the user again via the device. The user can review this plan and adjust the order of visits, duration of stays, and additional activities. Intuitive operation is possible using features such as drag-and-drop on the device. The adjusted information is sent back to the server, allowing the plan to be updated based on user feedback. 【0269】 Step 5: 【0270】 The device saves the user's finalized plan and provides it in a format usable on the day of travel. The saved plan is integrated into the device's calendar function and used for managing the schedule on the day of travel. Data is cached on the device for offline access. Navigation and reminder functions are also provided to encourage users to act according to their plan. 【0271】 (Application Example 1) 【0272】 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 glasses 214 will be referred to as the "terminal." 【0273】 Current travel planning systems require users to consult multiple sources individually, making the process cumbersome and time-consuming. Furthermore, they struggle to efficiently incorporate real-time information, making it difficult to respond quickly to changes in plans during a trip. This makes it challenging to enhance traveler satisfaction. 【0274】 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. 【0275】 In this invention, the server includes a device for receiving travel preference information from the user, a device for collecting timetable information and facility operating hours information in real time, and a device for aggregating data on public transportation, tourist facilities, and restaurants and proposing the optimal spatiotemporal location to the user. This enables the user to efficiently and flexibly create and adjust travel plans on a single platform. 【0276】 A "user" is an individual or group that provides desired information regarding travel and transportation. 【0277】 "Travel preferences" include information about places you want to visit, modes of transportation you'd like to use, and types of activities and food you're interested in. 【0278】 A "device" is a hardware or software component used to collect, analyze, and display information. 【0279】 "Timetable information" refers to data on the operating hours of public transportation and facilities. 【0280】 "Facility operating hours information" refers to information regarding the availability of a specific facility or service. 【0281】 A "travel plan" is a suggestion of the optimal itinerary and route for a user's trip or travel, built based on the collected information. 【0282】 "Reservation Availability" refers to the status indicating whether prior reservations can be made for using specific services or facilities. 【0283】 "Final Plan" refers to the final schedule for travel or movement determined after the user has made adjustments. 【0284】 "Public Transportation" refers to means of transportation such as railways, buses, taxis, etc. that are available to the general public. 【0285】 "Tourist Facilities" refer to facilities such as famous places, museums, theme parks, etc. that are intended for travelers to visit. 【0286】 "Food and Beverage Facilities" refer to places that include restaurants and cafes that provide food and drinks. 【0287】 "Spatial-Temporal Location" refers to the concept indicating a specific geographical location at a specific time. 【0288】 The system for realizing this application example includes elements such as a server, a terminal, and a user. The server plays a central role in travel planning. Specifically, the server receives travel wish information from the user and collects time expression information and facility operation time information in real time. This process includes the use of APIs and databases for obtaining information from the Internet. The server has a function of aggregating data related to a specific location and proposing an optimal spatial-temporal location to the user. The software used includes libraries for data analysis and API clients for obtaining real-time data. 【0289】 Furthermore, the server generates an optimal travel plan based on the collected information and checks for booking availability. It utilizes a generation AI model to create and present prompt messages to improve the efficiency of the travel plan and user satisfaction. An example of such a prompt message would be: "Please create an optimal travel plan based on the user's desired destinations and preferences. I would like to efficiently visit tourist attractions in Osaka while enjoying takoyaki." 【0290】 The terminal presents information from the server to the user and provides an interface for making adjustments. The user can use this interface to customize the presented plan to their individual circumstances. The final travel plan is reviewed, recorded on the terminal, and made accessible in a format usable on the day of travel. 【0291】 The hardware requirements include a high-performance processor and network connectivity within the server, as well as the user's smartphone or tablet device. The software will utilize programming languages ​​such as Python, and external APIs such as Google Maps Platform. This will allow users to efficiently plan and coordinate their trips within a single platform. 【0292】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0293】 Step 1: 【0294】 The server receives travel preference information from the user. This input includes the user's specified destinations, preferred modes of transportation, and information about activities and meals of interest. Upon receiving this data, the server parses it and converts it into a format suitable for further processing. 【0295】 Step 2: 【0296】 The server collects timetable information and facility operating hours information in real time. Inputs include public transportation timetables and facility operation information obtained from the internet. The server uses an API to retrieve this data and extracts relevant information based on the user's preferences. 【0297】 Step 3: 【0298】 The server generates an optimal travel plan based on the collected information. The input is the information from Step 1 and Step 2, which the generating AI model uses to calculate the optimal order of visits and means of transportation. The output is the proposed travel plan. 【0299】 Step 4: 【0300】 The server checks the availability of activities based on the generated plan. Input includes the generated travel plan and the booking status of each facility. The server accesses the booking system to check the availability of each facility. As a result, it outputs a list of available activities. 【0301】 Step 5: 【0302】 The terminal presents a travel plan to the user and provides an interface that allows the user to adjust the plan. The input is a travel plan sent from the server, which the terminal displays. The user can then adjust the order and timing of visits within the displayed plan. 【0303】 Step 6: 【0304】 The device reviews and records the final plan adjusted by the user. The input is the plan confirmed by the user, and the device saves this plan for use on the day of travel. The output is the finalized travel plan. 【0305】 Through these steps, the system can efficiently support the user's travel plan and enable flexible adjustments. Additionally, by using prompt sentences, the generative AI model can provide a travel experience that meets the user's expectations. 【0306】 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 recognition model 59 and perform specific processing using the user's emotions. 【0307】 The present invention is a system that receives travel wish information from a user, recognizes the user's emotions using an emotion engine, and provides an optimal travel plan based on this. This system aims to make more personalized proposals, particularly considering the impact of the user's emotional state on the travel experience. 【0308】 The user inputs travel wish information using a terminal. The wish information includes places to visit, desired activities, means of transportation, travel budget, etc. Additionally, an emotion engine is incorporated into the terminal to analyze the emotional state in real time from the user's voice, expressions, and interaction data. 【0309】 The server receives the wish information input by the user and the emotion data obtained from the emotion engine, and automatically generates a travel plan based on this. The server makes proposals to reduce the user's stress and selects more enjoyable destinations based on the emotion data. For example, when a tendency to seek relaxation is recognized, the system recommends visiting peaceful tourist spots or spa resorts. 【0310】 The generated travel plan is presented to the user through the terminal. The plan includes proposals for the optimal visit order and means of transportation, and the user can freely adjust the presented content. The emotion engine supports reducing the user's psychological burden during plan adjustment. 【0311】 As a concrete example, consider a scenario where a user is planning a sightseeing trip in Tokyo, and the emotion engine detects the user's fatigue level. In this case, the server will either generate a plan that minimizes travel or suggest a plan that includes many relaxing activities. 【0312】 Once the final plan is confirmed, the device saves the information and provides necessary guidance functions to support the user's travel on the day of the trip. Furthermore, the emotion engine monitors the user's emotional state throughout the trip and suggests adjustments in real time to avoid situations that cause excessive stress or dissatisfaction. 【0313】 In this way, this system can adapt to the user's emotions and provide a more personalized travel experience. 【0314】 The following describes the processing flow. 【0315】 Step 1: 【0316】 Users input their travel preferences through the device. This information includes their destination, desired activities, mode of transportation, and budget. The device also senses the user's voice and facial expressions, and an emotion engine analyzes the user's emotional state. 【0317】 Step 2: 【0318】 The device uses an emotion engine to acquire emotional data, which is then sent to a server. This data indicates the user's emotions, such as how excited, stressed, or relaxed they are. 【0319】 Step 3: 【0320】 The server generates the optimal travel plan based on the received emotional data and travel preference information. Here, it takes the user's emotional state into consideration, prioritizing a relaxing schedule and stress-reducing modes of transportation. 【0321】 Step 4: 【0322】 The server collects real-time information on transportation schedules and opening hours for tourist attractions and restaurants, and combines this with sentiment data to build detailed plans. For example, if relaxation is needed, a spa or nature park might be added to the destination. 【0323】 Step 5: 【0324】 The device presents the user with a generated travel plan. This plan includes estimated travel time, modes of transportation, and order of visits. It also displays personalized suggestions tailored to the user's mood and adjustable options. 【0325】 Step 6: 【0326】 Users can review their travel plans and make adjustments based on their emotional state and new preferences. For example, they can change the order of visits or select options to reduce travel time. 【0327】 Step 7: 【0328】 The device records the final plan confirmed by the user and provides notifications and support functions according to the travel itinerary. Furthermore, it monitors the user's emotional state during the trip and provides real-time suggestions for stress reduction as needed. 【0329】 (Example 2) 【0330】 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". 【0331】 Traditional travel planning systems created plans based solely on user preferences, without considering their emotional state. This often resulted in users experiencing stress and dissatisfaction during their trips, making it difficult to provide a personalized and satisfying experience. Furthermore, the inability to respond to real-time changes in emotional states made it challenging to appropriately address unexpected situations during travel. 【0332】 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. 【0333】 In this invention, the server includes means for receiving travel preference information from the user, means for recognizing the user's emotional state, and means for generating an optimized travel plan based on the recognized emotional state and travel preference information. This enables the provision of personalized travel plans that respond to the user's emotions and flexible plan modifications in real time. 【0334】 A "user" refers to an individual or group that utilizes a travel service, and is the entity that provides the system with data on their preferences and emotional state. 【0335】 "Travel preferences" refer to the conditions and requests that users have for their trip, including details such as destinations, activities, transportation, and budget. 【0336】 "Emotional state" refers to the user's psychological and physiological state, and includes emotional tendencies analyzed from voice tone, facial expressions, behavioral data, etc. 【0337】 A "travel plan" is a plan that includes a detailed travel schedule and activity suggestions that are automatically generated based on the user's preferences and emotional state. 【0338】 "Monitoring" refers to the process of tracking users' emotional states in real time, analyzing the data as needed, and developing countermeasures. 【0339】 To implement this invention, the user, terminal, and server each play a specific role. 【0340】 User roles: 【0341】 As a user of the travel service, the user enters their travel preferences into the terminal. This includes information such as places they wish to visit, desired activities, mode of transportation, and travel budget. This allows the system to accurately understand the user's needs. 【0342】 Terminal role: 【0343】 The device incorporates an emotion engine that analyzes the user's voice, facial expressions, and motion data in real time. This emotion engine may utilize existing commercial software; for example, open-source libraries or cloud-based emotion analysis APIs are available. The emotion engine accurately grasps the user's psychological state and prepares the data to be sent to the server. 【0344】 Server role: 【0345】 The server generates a travel plan based on the user's preferences and emotional data received from the terminal. This process utilizes a generative AI model. For example, natural language processing and machine learning algorithms are used to suggest the most suitable tourist destinations based on the user's emotional state. If the user is seeking relaxation, the system will recommend quiet tourist destinations or spa resorts. 【0346】 As a concrete example, suppose a user wants to travel to Tokyo, and the emotion engine detects the user's fatigue. In this case, the server generates and proposes a plan that involves less travel and focuses on relaxing activities. The user can then review the proposal and make adjustments as needed. 【0347】 An example of a prompt in a generative AI model is: "Please suggest a relaxing sightseeing plan in Tokyo. If the user is tired, please suggest activities that minimize travel." 【0348】 This allows users to enjoy a trip optimized for their emotional state. The system individually tailors the user's experience, enabling a more fulfilling 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 preferences through the terminal. This information includes places to visit, desired activities, budget, and mode of transportation. The terminal receives this input, converts it into a digital format, and prepares it for further processing. The entered information is stored as data that is sent directly to the server. 【0352】 Step 2: 【0353】 The device activates its built-in emotion engine to analyze the user's voice, facial expressions, and actions in real time. This process utilizes the user's nonverbal communication data as input. The emotion engine analyzes this data to quantify the user's emotional state and extracts it as emotion data. The generated emotion data is then ready to be sent to the server. 【0354】 Step 3: 【0355】 The server receives preference information and sentiment data sent from the terminal. Using both data as input, the server begins the process of creating a travel plan tailored to the user using a generative AI model. The generative AI model analyzes each data point and generates the most appropriate travel plan. This plan includes an optimized combination of suggested destinations, schedules, and modes of transportation. 【0356】 Step 4: 【0357】 The travel plan generated on the server is sent to the terminal. The terminal visually presents the received travel plan to the user. The user can review the plan and, if necessary, change destinations or adjust the schedule. User feedback is processed on the terminal and sent back to the server. 【0358】 Step 5: 【0359】 Once the trip begins, the device continues to use the emotion engine to monitor the user's emotional state. The real-time emotional data is sent to the server as supporting information when unexpected situations arise. Based on this data, the server optimizes the plan and issues real-time suggestions to provide the user with a better travel experience. 【0360】 (Application Example 2) 【0361】 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 will be referred to as the "terminal." 【0362】 Conventional travel planning systems have difficulty considering the emotional state of users, making it impossible to provide travel plans tailored to individual needs. As a result, users often experience excessive stress during their trips or are not able to have the experiences they hoped for. This invention aims to enable the automatic generation of travel plans that take user emotions into consideration. 【0363】 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. 【0364】 In this invention, the server includes means for receiving travel request information from the user, means for collecting timetable information and store operating information in real time, and means for analyzing the user's emotional state using emotion estimation technology and adjusting the travel plan based on the results. This enables the provision of an optimal travel plan based on the user's emotions, resulting in a more satisfying travel experience. 【0365】 A "user" is someone who provides travel preferences and receives an optimized travel plan. 【0366】 "Travel request information" refers to data that includes information such as places the user wants to visit, desired activities, and budget when traveling. 【0367】 "Timetable information" refers to data related to the operating schedules of public transportation. 【0368】 "Store opening hours information" refers to information regarding the opening and closing times of commercial facilities and tourist destinations. 【0369】 "Emotion estimation technology" is a technology that analyzes a user's emotional state in real time from their facial expressions, voice, and other interactions. 【0370】 A "travel plan" is a document outlining the places to visit, modes of transportation, schedule, and other related services for a trip. 【0371】 "Transportation" refers to the methods of travel, including various modes of transport available to the user during their trip. 【0372】 "Optimization" refers to adjusting travel plans based on user requests and emotional states to create the optimal conditions for maximum satisfaction. 【0373】 The system for implementing this invention is realized through the cooperation of a user's terminal and a server in the cloud. The user's terminal is equipped with an input interface for travel preference information and an emotion recognition function that enables emotion estimation technology. This function utilizes the OpenCV library for facial recognition and the Google Speech-to-Text API for speech analysis. 【0374】 Users input travel requests using their devices, and their emotional state is also detected through voice and facial expressions. This allows the system to analyze the user's psychological state in real time, and this information is sent to a server. The server processes this data using AWS Lambda and generates an optimal travel plan based on the user's emotional state. This plan includes elements such as destinations, length of stay, and recommended activities. 【0375】 The generated travel plan is presented to the user via the device, and the user can adjust the proposed plan. The final plan is confirmed by the user and recorded in the system. The device also monitors the user's emotional state during the trip and prompts real-time adjustments to the plan as needed. 【0376】 As a concrete example, consider a scenario where a user requests a tourist destination they want to visit during peak season. When the user's device detects an emotional state indicating stress, the server can create an alternative plan to avoid the peak season at the destination. By adapting to emotions, a more personalized and fulfilling travel experience can be achieved. 【0377】 Example prompt for the generating AI model: "When the user's facial expression indicates calmness, generate a plan suggesting a tranquil and relaxing place. For example, an art museum or a forest bath would be preferable." 【0378】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0379】 Step 1: 【0380】 The user enters travel request information using the device. This information includes places they want to visit, desired activities, and budget. This information is temporarily stored in a database inside the device. 【0381】 Step 2: 【0382】 The device senses the user's facial expressions and voice in real time and analyzes their emotional state using emotion estimation technology. Image data is processed using the OpenCV library, voice data is converted to text using the Google Speech-to-Text API, and an emotion recognition algorithm determines the user's emotional state based on this data. 【0383】 Step 3: 【0384】 The device sends user request information and analyzed emotional state data to the server. The data is structured in JSON format and formatted for easy processing by the server. 【0385】 Step 4: 【0386】 The server uses AWS Lambda to process data based on the user's request information and sentiment data received. It collects timetable information and store opening hours in real time to generate an optimal travel plan. In plan generation, destinations and activities are selected based on the user's sentiment state. 【0387】 Step 5: 【0388】 The generated travel plan is sent from the server to the terminal and displayed on the terminal. The user can review the plan through the terminal's interface and make adjustments as needed. 【0389】 Step 6: 【0390】 The user's final travel plan is confirmed by the device and recorded in the system's database. This record is then used to prepare for the day of travel. 【0391】 Step 7: 【0392】 Throughout the trip, the device continues to use emotion estimation technology to continuously monitor the user's emotional state. If excessive stress is detected, the device communicates with the server to suggest adjustments to the plan in real time. 【0393】 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. 【0394】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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. 【0395】 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. 【0396】 [Third Embodiment] 【0397】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0398】 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. 【0399】 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). 【0400】 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. 【0401】 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. 【0402】 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). 【0403】 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. 【0404】 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. 【0405】 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. 【0406】 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. 【0407】 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. 【0408】 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". 【0409】 This invention provides a system that enables users to efficiently create travel plans. The system offers an interface that allows users to easily input their travel preferences. These preferences include places to visit, preferred modes of transportation, and types of activities and meals of interest. 【0410】 First, the server uses the internet to collect necessary data in real time based on the user's requests. Specifically, it retrieves public transportation timetables from relevant APIs and databases, and also collects information on the operating hours of restaurants and facilities near the destination. 【0411】 Next, the server analyzes the collected information and automatically generates an optimal travel plan that takes into account transportation options and available visiting times. This plan includes an efficient order of visits, detailed information on transportation, and suggested durations for each location. It also checks the availability of restaurants and activities and suggests whether reservations are possible. 【0412】 The generated plan is presented to the user via their device. Based on the presented plan, the user can adjust the order and timing of visits as desired. This flexibility in adjustment allows the user to customize their itinerary in more detail. 【0413】 Finally, the device saves the user's finalized and adjusted plan and provides it in a format usable on the day of travel. The system can also include optional features for schedule management and navigation support on the day of travel. 【0414】 As a concrete example, consider a case where a user wishes to "enjoy a Japanese lunch in Tokyo and visit Asakusa and Tokyo Skytree." In this case, the server retrieves train timetables within Tokyo, checks for available seats at Japanese restaurants, and collects the opening hours of Asakusa and Tokyo Skytree. As a result, a plan is generated that includes sightseeing in Asakusa in the morning, lunch at a designated Japanese restaurant, and a visit to Tokyo Skytree in the afternoon. The user can then adjust the details to enjoy their ideal travel experience. 【0415】 The following describes the processing flow. 【0416】 Step 1: 【0417】 The user enters their travel preferences into the terminal. This includes places they want to visit, meal preferences, preferred modes of transportation, and travel dates. The information is submitted through a dedicated input form. 【0418】 Step 2: 【0419】 The server analyzes the user's requested information and accesses various relevant APIs and databases to collect the latest timetable information and facility opening hours. This includes checking public transport operation data, restaurant seating availability, and tourist attraction opening hours. 【0420】 Step 3: 【0421】 The server automatically generates a travel plan based on the collected data, taking into account efficient routes and order of visits. It calculates the optimal mode of transportation and time for each destination, creating a schedule tailored to the user. 【0422】 Step 4: 【0423】 The server checks the availability of restaurants and activities planned within the generated plan, and if booking is required, it incorporates that information into the plan. This enables the server to suggest bookings to the user. 【0424】 Step 5: 【0425】 The device presents the generated travel plan to the user. At this stage, the plan is provided in a timeline format or displayed on a map, allowing the user to visually grasp the overall picture. 【0426】 Step 6: 【0427】 Users can review the presented plan and adjust the order of visits, times, and transportation methods as needed. The plan can be edited to match the user's preferences, and new information can be saved. 【0428】 Step 7: 【0429】 The device records the finalized plan and prepares it for use on the day of travel. The plan can be used in a printable format or as digital navigation, supporting a smooth trip on the day. 【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】 Traditional travel planning systems have struggled to provide efficient travel plans that accurately reflect user preferences. In particular, they lacked the ability to gather information in real time and the flexibility to adjust plans as needed. 【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 obtaining travel preferences from the user, means for obtaining real-time information on transportation methods and facility usage times from external sources, and means for creating an optimal itinerary based on the obtained information. This makes it possible to create and provide efficient and flexible travel plans that meet the user's preferences. 【0435】 "Means of obtaining travel preferences from users" refers to a function that provides an interface for users to input information such as places they want to visit, methods of transportation, and activities they are interested in when creating a travel plan. 【0436】 "Means of obtaining real-time travel information and facility operating hours from external sources" refers to a function that obtains real-time information such as public transport timetables and the operating hours of facilities to be visited from external databases or APIs. 【0437】 "A means of creating the optimal itinerary based on acquired information" refers to a function that automatically generates a travel plan that combines an efficient order of visits and means of transportation, taking into account collected information on transportation and facility opening hours. 【0438】 "Means for optimizing the order of visits based on user preferences" refers to a function that calculates the most effective order of visits, taking into account the locations and activities specified by the user. 【0439】 "Means for calculating the optimal route for travel" refers to a function that calculates efficient means of transportation and routes from the user's starting point to their destination, and proposes the optimal travel route. 【0440】 This invention provides a system that allows users to create efficient and personalized travel plans. The main components of this system are a terminal that acquires desired information from the user, a server that analyzes the information and generates an optimal plan, and a terminal that presents and saves the final plan to the user. 【0441】 Users input travel preferences using their devices. This information includes places they want to visit, preferred modes of transportation, and activities they are interested in. The user interface can be implemented as a web browser or mobile application, and the entered information is quickly transmitted to the server. 【0442】 The server collects necessary data in real time from external sources based on the information it receives. This data collection utilizes APIs for public transport timetables and databases providing restaurant reservation information. The server analyzes the collected data and generates an optimal travel plan based on the user's preferences. By using a generative AI model, it can quickly evaluate various options and suggest efficient visiting sequences and modes of transportation. 【0443】 The generated plan is presented to the user again via the device. The user can review this plan and freely adjust the order and timing of visits. The final adjusted plan is saved on the device and remains accessible on the day of travel. It also includes features that provide support for navigation and schedule management on the day of travel. 【0444】 As a concrete example, consider a case where a user wishes to "enjoy a Japanese lunch in Tokyo and visit Asakusa and Tokyo Skytree." In this case, the server collects train timetables in Tokyo and information on available seats at Japanese restaurants, and checks the opening hours of Asakusa and Tokyo Skytree. As a result, a plan is generated in which the user will sightsee in Asakusa in the morning, have lunch at a designated Japanese restaurant, and then visit Tokyo Skytree in the afternoon. This plan is presented to the user, who can adjust it as needed to enjoy a travel experience that better suits their preferences. 【0445】 An example of a prompt message would be, "I'd like to enjoy a Japanese lunch in Tokyo. I'd like to visit Asakusa and Tokyo Skytree." This allows the system to efficiently perform data analysis and plan generation based on the user's specific wishes. 【0446】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0447】 Step 1: 【0448】 Users enter their travel preferences into the terminal. Specifically, they enter information such as places they want to visit, modes of transportation, activities of interest, and food preferences in a form format. This information is sent to the server as input data. Users can review the information on the terminal screen and make corrections as needed. Once the final input is confirmed, it functions as output to the server. 【0449】 Step 2: 【0450】 The server collects data in real time from relevant external sources based on the entered user information. It obtains public transport timetables and opening hours information for planned visits via APIs and online databases. This collected data is stored on the server as foundational data to fulfill user requests. The server analyzes the input information and selects the necessary data. 【0451】 Step 3: 【0452】 The server uses the collected data to generate a travel plan that best suits the user's preferences. This process utilizes a generative AI model that combines input data with real-time information to calculate the most efficient order of visits and travel methods, ultimately deriving an optimized plan. For example, it might automatically rearrange the order of visits and output a plan that minimizes travel costs and time. 【0453】 Step 4: 【0454】 The generated travel plan is presented to the user again via the device. The user can review this plan and adjust the order of visits, duration of stays, and additional activities. Intuitive operation is possible using features such as drag-and-drop on the device. The adjusted information is sent back to the server, allowing the plan to be updated based on user feedback. 【0455】 Step 5: 【0456】 The device saves the user's finalized plan and provides it in a format usable on the day of travel. The saved plan is integrated into the device's calendar function and used for managing the schedule on the day of travel. Data is cached on the device for offline access. Navigation and reminder functions are also provided to encourage users to act according to their plan. 【0457】 (Application Example 1) 【0458】 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." 【0459】 Current travel planning systems require users to consult multiple sources individually, making the process cumbersome and time-consuming. Furthermore, they struggle to efficiently incorporate real-time information, making it difficult to respond quickly to changes in plans during a trip. This makes it challenging to enhance traveler satisfaction. 【0460】 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. 【0461】 In this invention, the server includes a device for receiving travel preference information from the user, a device for collecting timetable information and facility operating hours information in real time, and a device for aggregating data on public transportation, tourist facilities, and restaurants and proposing the optimal spatiotemporal location to the user. This enables the user to efficiently and flexibly create and adjust travel plans on a single platform. 【0462】 A "user" is an individual or group that provides desired information regarding travel and transportation. 【0463】 "Travel preferences" include information about places you want to visit, modes of transportation you'd like to use, and types of activities and food you're interested in. 【0464】 A "device" is a hardware or software component used to collect, analyze, and display information. 【0465】 "Timetable information" refers to data on the operating hours of public transportation and facilities. 【0466】 "Facility operating hours information" refers to information regarding the availability of a specific facility or service. 【0467】 A "travel plan" is a suggestion of the optimal itinerary and route for a user's trip or travel, built based on the collected information. 【0468】 "Reservation availability" indicates whether or not it is possible to make a reservation in advance to use a particular service or facility. 【0469】 The "final plan" refers to the final schedule for travel or movement that has been finalized after adjustments have been made by the user. 【0470】 "Public transportation" refers to means of transport such as trains, buses, and taxis that are available to the general public. 【0471】 A "tourist facility" refers to a place of interest, such as a landmark, museum, or theme park, that is intended for travelers to visit. 【0472】 A "food and beverage establishment" is a place that serves food and drinks, including restaurants and cafes. 【0473】 "Spatiotemporal position" is a concept that indicates a specific geographical location at a specific time. 【0474】 The system for realizing this application includes server, terminal, and user elements. The server plays a central role in travel planning. Specifically, the server receives travel preference information from the user and collects timetable information and facility operating hours information in real time. This process involves using APIs and databases to retrieve information from the internet. The server has the function of aggregating data related to a specific location and suggesting the optimal spatiotemporal location to the user. The software used includes libraries for data analysis and API clients for acquiring real-time data. 【0475】 Furthermore, the server generates an optimal travel plan based on the collected information and checks for booking availability. It utilizes a generation AI model to create and present prompt messages to improve the efficiency of the travel plan and user satisfaction. An example of such a prompt message would be: "Please create an optimal travel plan based on the user's desired destinations and preferences. I would like to efficiently visit tourist attractions in Osaka while enjoying takoyaki." 【0476】 The terminal presents information from the server to the user and provides an interface for making adjustments. The user can use this interface to customize the presented plan to their individual circumstances. The final travel plan is reviewed, recorded on the terminal, and made accessible in a format usable on the day of travel. 【0477】 The hardware requirements include a high-performance processor and network connectivity within the server, as well as the user's smartphone or tablet device. The software will utilize programming languages ​​such as Python, and external APIs such as Google Maps Platform. This will allow users to efficiently plan and coordinate their trips within a single platform. 【0478】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0479】 Step 1: 【0480】 The server receives travel preference information from the user. This input includes the user's specified destinations, preferred modes of transportation, and information about activities and meals of interest. Upon receiving this data, the server parses it and converts it into a format suitable for further processing. 【0481】 Step 2: 【0482】 The server collects timetable information and facility operating hours information in real time. Inputs include public transportation timetables and facility operation information obtained from the internet. The server uses an API to retrieve this data and extracts relevant information based on the user's preferences. 【0483】 Step 3: 【0484】 The server generates an optimal travel plan based on the collected information. The input is the information from Step 1 and Step 2, which the generating AI model uses to calculate the optimal order of visits and means of transportation. The output is the proposed travel plan. 【0485】 Step 4: 【0486】 The server checks the availability of activities based on the generated plan. Input includes the generated travel plan and the booking status of each facility. The server accesses the booking system to check the availability of each facility. As a result, it outputs a list of available activities. 【0487】 Step 5: 【0488】 The terminal presents a travel plan to the user and provides an interface that allows the user to adjust the plan. The input is a travel plan sent from the server, which the terminal displays. The user can then adjust the order and timing of visits within the displayed plan. 【0489】 Step 6: 【0490】 The device reviews and records the final plan adjusted by the user. The input is the plan confirmed by the user, and the device saves this plan for use on the day of travel. The output is the finalized travel plan. 【0491】 These steps enable the system to efficiently support the user's travel planning and allow for flexible adjustments. Furthermore, by using prompts, the generative AI model can provide a travel experience tailored to the user's preferences. 【0492】 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. 【0493】 This invention is a system that receives travel preference information from a user, recognizes the user's emotions using an emotion engine, and provides an optimal travel plan based on these emotions. This system aims to provide more personalized suggestions, particularly by considering the impact of the user's emotional state on the travel experience. 【0494】 Users use a device to input their travel preferences, including places they want to visit, desired activities, modes of transportation, and travel budget. The device also incorporates an emotion engine that analyzes the user's emotional state in real time based on their voice, facial expressions, and interaction data. 【0495】 The server receives user-entered preferences and emotional data from the emotion engine, and automatically generates a travel plan based on this information. Based on the emotional data, the server makes suggestions to reduce the user's stress and selects destinations that will be more enjoyable. For example, if a tendency to seek relaxation is recognized, the system will recommend visiting calm tourist destinations or spa resorts. 【0496】 The generated travel plan is presented to the user via their device. The plan includes suggestions for the optimal order of visits and modes of transportation, and the user can freely adjust the presented content. The emotion engine helps reduce the user's psychological burden when adjusting the plan. 【0497】 As a concrete example, consider a scenario where a user is planning a sightseeing trip in Tokyo, and the emotion engine detects the user's fatigue level. In this case, the server will either generate a plan that minimizes travel or suggest a plan that includes many relaxing activities. 【0498】 Once the final plan is confirmed, the device saves the information and provides necessary guidance functions to support the user's travel on the day of the trip. Furthermore, the emotion engine monitors the user's emotional state throughout the trip and suggests adjustments in real time to avoid situations that cause excessive stress or dissatisfaction. 【0499】 In this way, this system can adapt to the user's emotions and provide a more personalized travel experience. 【0500】 The following describes the processing flow. 【0501】 Step 1: 【0502】 Users input their travel preferences through the device. This information includes their destination, desired activities, mode of transportation, and budget. The device also senses the user's voice and facial expressions, and an emotion engine analyzes the user's emotional state. 【0503】 Step 2: 【0504】 The device uses an emotion engine to acquire emotional data, which is then sent to a server. This data indicates the user's emotions, such as how excited, stressed, or relaxed they are. 【0505】 Step 3: 【0506】 The server generates the optimal travel plan based on the received emotional data and travel preference information. Here, it takes the user's emotional state into consideration, prioritizing a relaxing schedule and stress-reducing modes of transportation. 【0507】 Step 4: 【0508】 The server collects real-time information on transportation schedules and opening hours for tourist attractions and restaurants, and combines this with sentiment data to build detailed plans. For example, if relaxation is needed, a spa or nature park might be added to the destination. 【0509】 Step 5: 【0510】 The device presents the user with a generated travel plan. This plan includes estimated travel time, modes of transportation, and order of visits. It also displays personalized suggestions tailored to the user's mood and adjustable options. 【0511】 Step 6: 【0512】 Users can review their travel plans and make adjustments based on their emotional state and new preferences. For example, they can change the order of visits or select options to reduce travel time. 【0513】 Step 7: 【0514】 The device records the final plan confirmed by the user and provides notifications and support functions according to the travel itinerary. Furthermore, it monitors the user's emotional state during the trip and provides real-time suggestions for stress reduction as needed. 【0515】 (Example 2) 【0516】 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." 【0517】 Traditional travel planning systems created plans based solely on user preferences, without considering their emotional state. This often resulted in users experiencing stress and dissatisfaction during their trips, making it difficult to provide a personalized and satisfying experience. Furthermore, the inability to respond to real-time changes in emotional states made it challenging to appropriately address unexpected situations during travel. 【0518】 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. 【0519】 In this invention, the server includes means for receiving travel preference information from the user, means for recognizing the user's emotional state, and means for generating an optimized travel plan based on the recognized emotional state and travel preference information. This enables the provision of personalized travel plans that respond to the user's emotions and flexible plan modifications in real time. 【0520】 A "user" refers to an individual or group that utilizes a travel service, and is the entity that provides the system with data on their preferences and emotional state. 【0521】 "Travel preferences" refer to the conditions and requests that users have for their trip, including details such as destinations, activities, transportation, and budget. 【0522】 "Emotional state" refers to the user's psychological and physiological state, and includes emotional tendencies analyzed from voice tone, facial expressions, behavioral data, etc. 【0523】 A "travel plan" is a plan that includes a detailed travel schedule and activity suggestions that are automatically generated based on the user's preferences and emotional state. 【0524】 "Monitoring" refers to the process of tracking users' emotional states in real time, analyzing the data as needed, and developing countermeasures. 【0525】 To implement this invention, the user, terminal, and server each play a specific role. 【0526】 User roles: 【0527】 As a user of the travel service, the user enters their travel preferences into the terminal. This includes information such as places they wish to visit, desired activities, mode of transportation, and travel budget. This allows the system to accurately understand the user's needs. 【0528】 Terminal role: 【0529】 The device incorporates an emotion engine that analyzes the user's voice, facial expressions, and motion data in real time. This emotion engine may utilize existing commercial software; for example, open-source libraries or cloud-based emotion analysis APIs are available. The emotion engine accurately grasps the user's psychological state and prepares the data to be sent to the server. 【0530】 Server role: 【0531】 The server generates a travel plan based on the user's preferences and emotional data received from the terminal. This process utilizes a generative AI model. For example, natural language processing and machine learning algorithms are used to suggest the most suitable tourist destinations based on the user's emotional state. If the user is seeking relaxation, the system will recommend quiet tourist destinations or spa resorts. 【0532】 As a concrete example, suppose a user wants to travel to Tokyo, and the emotion engine detects the user's fatigue. In this case, the server generates and proposes a plan that involves less travel and focuses on relaxing activities. The user can then review the proposal and make adjustments as needed. 【0533】 An example of a prompt in a generative AI model is: "Please suggest a relaxing sightseeing plan in Tokyo. If the user is tired, please suggest activities that minimize travel." 【0534】 This allows users to enjoy a trip optimized for their emotional state. The system individually tailors the user's experience, enabling a more fulfilling travel experience. 【0535】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0536】 Step 1: 【0537】 The user enters travel preferences through the terminal. This information includes places to visit, desired activities, budget, and mode of transportation. The terminal receives this input, converts it into a digital format, and prepares it for further processing. The entered information is stored as data that is sent directly to the server. 【0538】 Step 2: 【0539】 The device activates its built-in emotion engine to analyze the user's voice, facial expressions, and actions in real time. This process utilizes the user's nonverbal communication data as input. The emotion engine analyzes this data to quantify the user's emotional state and extracts it as emotion data. The generated emotion data is then ready to be sent to the server. 【0540】 Step 3: 【0541】 The server receives preference information and sentiment data sent from the terminal. Using both data as input, the server begins the process of creating a travel plan tailored to the user using a generative AI model. The generative AI model analyzes each data point and generates the most appropriate travel plan. This plan includes an optimized combination of suggested destinations, schedules, and modes of transportation. 【0542】 Step 4: 【0543】 The travel plan generated on the server is sent to the terminal. The terminal visually presents the received travel plan to the user. The user can review the plan and, if necessary, change destinations or adjust the schedule. User feedback is processed on the terminal and sent back to the server. 【0544】 Step 5: 【0545】 Once the trip begins, the device continues to use the emotion engine to monitor the user's emotional state. The real-time emotional data is sent to the server as supporting information when unexpected situations arise. Based on this data, the server optimizes the plan and issues real-time suggestions to provide the user with a better travel experience. 【0546】 (Application Example 2) 【0547】 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." 【0548】 Conventional travel planning systems have difficulty considering the emotional state of users, making it impossible to provide travel plans tailored to individual needs. As a result, users often experience excessive stress during their trips or are not able to have the experiences they hoped for. This invention aims to enable the automatic generation of travel plans that take user emotions into consideration. 【0549】 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. 【0550】 In this invention, the server includes means for receiving travel request information from the user, means for collecting timetable information and store operating information in real time, and means for analyzing the user's emotional state using emotion estimation technology and adjusting the travel plan based on the results. This enables the provision of an optimal travel plan based on the user's emotions, resulting in a more satisfying travel experience. 【0551】 A "user" is someone who provides travel preferences and receives an optimized travel plan. 【0552】 "Travel request information" refers to data that includes information such as places the user wants to visit, desired activities, and budget when traveling. 【0553】 "Timetable information" refers to data related to the operating schedules of public transportation. 【0554】 "Store opening hours information" refers to information regarding the opening and closing times of commercial facilities and tourist destinations. 【0555】 "Emotion estimation technology" is a technology that analyzes a user's emotional state in real time from their facial expressions, voice, and other interactions. 【0556】 A "travel plan" is a document outlining the places to visit, modes of transportation, schedule, and other related services for a trip. 【0557】 "Transportation" refers to the methods of travel, including various modes of transport available to the user during their trip. 【0558】 "Optimization" refers to adjusting travel plans based on user requests and emotional states to create the optimal conditions for maximum satisfaction. 【0559】 The system for implementing this invention is realized through the cooperation of a user's terminal and a server in the cloud. The user's terminal is equipped with an input interface for travel preference information and an emotion recognition function that enables emotion estimation technology. This function utilizes the OpenCV library for facial recognition and the Google Speech-to-Text API for speech analysis. 【0560】 Users input travel requests using their devices, and their emotional state is also detected through voice and facial expressions. This allows the system to analyze the user's psychological state in real time, and this information is sent to a server. The server processes this data using AWS Lambda and generates an optimal travel plan based on the user's emotional state. This plan includes elements such as destinations, length of stay, and recommended activities. 【0561】 The generated travel plan is presented to the user via the device, and the user can adjust the proposed plan. The final plan is confirmed by the user and recorded in the system. The device also monitors the user's emotional state during the trip and prompts real-time adjustments to the plan as needed. 【0562】 As a concrete example, consider a scenario where a user requests a tourist destination they want to visit during peak season. When the user's device detects an emotional state indicating stress, the server can create an alternative plan to avoid the peak season at the destination. By adapting to emotions, a more personalized and fulfilling travel experience can be achieved. 【0563】 Example prompt for the generating AI model: "When the user's facial expression indicates calmness, generate a plan suggesting a tranquil and relaxing place. For example, an art museum or a forest bath would be preferable." 【0564】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0565】 Step 1: 【0566】 The user enters travel request information using the device. This information includes places they want to visit, desired activities, and budget. This information is temporarily stored in a database inside the device. 【0567】 Step 2: 【0568】 The device senses the user's facial expressions and voice in real time and analyzes their emotional state using emotion estimation technology. Image data is processed using the OpenCV library, voice data is converted to text using the Google Speech-to-Text API, and an emotion recognition algorithm determines the user's emotional state based on this data. 【0569】 Step 3: 【0570】 The device sends user request information and analyzed emotional state data to the server. The data is structured in JSON format and formatted for easy processing by the server. 【0571】 Step 4: 【0572】 The server uses AWS Lambda to process data based on the user's request information and sentiment data received. It collects timetable information and store opening hours in real time to generate an optimal travel plan. In plan generation, destinations and activities are selected based on the user's sentiment state. 【0573】 Step 5: 【0574】 The generated travel plan is sent from the server to the terminal and displayed on the terminal. The user can review the plan through the terminal's interface and make adjustments as needed. 【0575】 Step 6: 【0576】 The user's final travel plan is confirmed by the device and recorded in the system's database. This record is then used to prepare for the day of travel. 【0577】 Step 7: 【0578】 Throughout the trip, the device continues to use emotion estimation technology to continuously monitor the user's emotional state. If excessive stress is detected, the device communicates with the server to suggest adjustments to the plan in real time. 【0579】 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. 【0580】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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. 【0581】 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. 【0582】 [Fourth Embodiment] 【0583】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0584】 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. 【0585】 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). 【0586】 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. 【0587】 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. 【0588】 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). 【0589】 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. 【0590】 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. 【0591】 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. 【0592】 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. 【0593】 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. 【0594】 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. 【0595】 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". 【0596】 This invention provides a system that enables users to efficiently create travel plans. The system offers an interface that allows users to easily input their travel preferences. These preferences include places to visit, preferred modes of transportation, and types of activities and meals of interest. 【0597】 First, the server uses the internet to collect necessary data in real time based on the user's requests. Specifically, it retrieves public transportation timetables from relevant APIs and databases, and also collects information on the operating hours of restaurants and facilities near the destination. 【0598】 Next, the server analyzes the collected information and automatically generates an optimal travel plan that takes into account transportation options and available visiting times. This plan includes an efficient order of visits, detailed information on transportation, and suggested durations for each location. It also checks the availability of restaurants and activities and suggests whether reservations are possible. 【0599】 The generated plan is presented to the user via their device. Based on the presented plan, the user can adjust the order and timing of visits as desired. This flexibility in adjustment allows the user to customize their itinerary in more detail. 【0600】 Finally, the device saves the user's finalized and adjusted plan and provides it in a format usable on the day of travel. The system can also include optional features for schedule management and navigation support on the day of travel. 【0601】 As a concrete example, consider a case where a user wishes to "enjoy a Japanese lunch in Tokyo and visit Asakusa and Tokyo Skytree." In this case, the server retrieves train timetables within Tokyo, checks for available seats at Japanese restaurants, and collects the opening hours of Asakusa and Tokyo Skytree. As a result, a plan is generated that includes sightseeing in Asakusa in the morning, lunch at a designated Japanese restaurant, and a visit to Tokyo Skytree in the afternoon. The user can then adjust the details to enjoy their ideal travel experience. 【0602】 The following describes the processing flow. 【0603】 Step 1: 【0604】 The user enters their travel preferences into the terminal. This includes places they want to visit, meal preferences, preferred modes of transportation, and travel dates. The information is submitted through a dedicated input form. 【0605】 Step 2: 【0606】 The server analyzes the user's requested information and accesses various relevant APIs and databases to collect the latest timetable information and facility opening hours. This includes checking public transport operation data, restaurant seating availability, and tourist attraction opening hours. 【0607】 Step 3: 【0608】 The server automatically generates a travel plan based on the collected data, taking into account efficient routes and order of visits. It calculates the optimal mode of transportation and time for each destination, creating a schedule tailored to the user. 【0609】 Step 4: 【0610】 The server checks the availability of restaurants and activities planned within the generated plan, and if booking is required, it incorporates that information into the plan. This enables the server to suggest bookings to the user. 【0611】 Step 5: 【0612】 The device presents the generated travel plan to the user. At this stage, the plan is provided in a timeline format or displayed on a map, allowing the user to visually grasp the overall picture. 【0613】 Step 6: 【0614】 Users can review the presented plan and adjust the order of visits, times, and transportation methods as needed. The plan can be edited to match the user's preferences, and new information can be saved. 【0615】 Step 7: 【0616】 The device records the finalized plan and prepares it for use on the day of travel. The plan can be used in a printable format or as digital navigation, supporting a smooth trip on the day. 【0617】 (Example 1) 【0618】 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". 【0619】 Traditional travel planning systems have struggled to provide efficient travel plans that accurately reflect user preferences. In particular, they lacked the ability to gather information in real time and the flexibility to adjust plans as needed. 【0620】 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. 【0621】 In this invention, the server includes means for obtaining travel preferences from the user, means for obtaining real-time information on transportation methods and facility usage times from external sources, and means for creating an optimal itinerary based on the obtained information. This makes it possible to create and provide efficient and flexible travel plans that meet the user's preferences. 【0622】 "Means of obtaining travel preferences from users" refers to a function that provides an interface for users to input information such as places they want to visit, methods of transportation, and activities they are interested in when creating a travel plan. 【0623】 "Means of obtaining real-time travel information and facility operating hours from external sources" refers to a function that obtains real-time information such as public transport timetables and the operating hours of facilities to be visited from external databases or APIs. 【0624】 "A means of creating the optimal itinerary based on acquired information" refers to a function that automatically generates a travel plan that combines an efficient order of visits and means of transportation, taking into account collected information on transportation and facility opening hours. 【0625】 "Means for optimizing the order of visits based on user preferences" refers to a function that calculates the most effective order of visits, taking into account the locations and activities specified by the user. 【0626】 "Means for calculating the optimal route for travel" refers to a function that calculates efficient means of transportation and routes from the user's starting point to their destination, and proposes the optimal travel route. 【0627】 This invention provides a system that allows users to create efficient and personalized travel plans. The main components of this system are a terminal that acquires desired information from the user, a server that analyzes the information and generates an optimal plan, and a terminal that presents and saves the final plan to the user. 【0628】 Users input travel preferences using their devices. This information includes places they want to visit, preferred modes of transportation, and activities they are interested in. The user interface can be implemented as a web browser or mobile application, and the entered information is quickly transmitted to the server. 【0629】 The server collects necessary data in real time from external sources based on the information it receives. This data collection utilizes APIs for public transport timetables and databases providing restaurant reservation information. The server analyzes the collected data and generates an optimal travel plan based on the user's preferences. By using a generative AI model, it can quickly evaluate various options and suggest efficient visiting sequences and modes of transportation. 【0630】 The generated plan is presented to the user again via the device. The user can review this plan and freely adjust the order and timing of visits. The final adjusted plan is saved on the device and remains accessible on the day of travel. It also includes features that provide support for navigation and schedule management on the day of travel. 【0631】 As a concrete example, consider a case where a user wishes to "enjoy a Japanese lunch in Tokyo and visit Asakusa and Tokyo Skytree." In this case, the server collects train timetables in Tokyo and information on available seats at Japanese restaurants, and checks the opening hours of Asakusa and Tokyo Skytree. As a result, a plan is generated in which the user will sightsee in Asakusa in the morning, have lunch at a designated Japanese restaurant, and then visit Tokyo Skytree in the afternoon. This plan is presented to the user, who can adjust it as needed to enjoy a travel experience that better suits their preferences. 【0632】 An example of a prompt message would be, "I'd like to enjoy a Japanese lunch in Tokyo. I'd like to visit Asakusa and Tokyo Skytree." This allows the system to efficiently perform data analysis and plan generation based on the user's specific wishes. 【0633】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0634】 Step 1: 【0635】 Users enter their travel preferences into the terminal. Specifically, they enter information such as places they want to visit, modes of transportation, activities of interest, and food preferences in a form format. This information is sent to the server as input data. Users can review the information on the terminal screen and make corrections as needed. Once the final input is confirmed, it functions as output to the server. 【0636】 Step 2: 【0637】 The server collects data in real time from relevant external sources based on the entered user information. It obtains public transport timetables and opening hours information for planned visits via APIs and online databases. This collected data is stored on the server as foundational data to fulfill user requests. The server analyzes the input information and selects the necessary data. 【0638】 Step 3: 【0639】 The server uses the collected data to generate a travel plan that best suits the user's preferences. This process utilizes a generative AI model that combines input data with real-time information to calculate the most efficient order of visits and travel methods, ultimately deriving an optimized plan. For example, it might automatically rearrange the order of visits and output a plan that minimizes travel costs and time. 【0640】 Step 4: 【0641】 The generated travel plan is presented to the user again via the device. The user can review this plan and adjust the order of visits, duration of stays, and additional activities. Intuitive operation is possible using features such as drag-and-drop on the device. The adjusted information is sent back to the server, allowing the plan to be updated based on user feedback. 【0642】 Step 5: 【0643】 The device saves the user's finalized plan and provides it in a format usable on the day of travel. The saved plan is integrated into the device's calendar function and used for managing the schedule on the day of travel. Data is cached on the device for offline access. Navigation and reminder functions are also provided to encourage users to act according to their plan. 【0644】 (Application Example 1) 【0645】 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". 【0646】 Current travel planning systems require users to consult multiple sources individually, making the process cumbersome and time-consuming. Furthermore, they struggle to efficiently incorporate real-time information, making it difficult to respond quickly to changes in plans during a trip. This makes it challenging to enhance traveler satisfaction. 【0647】 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. 【0648】 In this invention, the server includes a device for receiving travel preference information from the user, a device for collecting timetable information and facility operating hours information in real time, and a device for aggregating data on public transportation, tourist facilities, and restaurants and proposing the optimal spatiotemporal location to the user. This enables the user to efficiently and flexibly create and adjust travel plans on a single platform. 【0649】 A "user" is an individual or group that provides desired information regarding travel and transportation. 【0650】 "Travel preferences" include information about places you want to visit, modes of transportation you'd like to use, and types of activities and food you're interested in. 【0651】 A "device" is a hardware or software component used to collect, analyze, and display information. 【0652】 "Timetable information" refers to data on the operating hours of public transportation and facilities. 【0653】 "Facility operating hours information" refers to information regarding the availability of a specific facility or service. 【0654】 A "travel plan" is a suggestion of the optimal itinerary and route for a user's trip or travel, built based on the collected information. 【0655】 "Reservation availability" indicates whether or not it is possible to make a reservation in advance to use a particular service or facility. 【0656】 The "final plan" refers to the final schedule for travel or movement that has been finalized after adjustments have been made by the user. 【0657】 "Public transportation" refers to means of transport such as trains, buses, and taxis that are available to the general public. 【0658】 A "tourist facility" refers to a place of interest, such as a landmark, museum, or theme park, that is intended for travelers to visit. 【0659】 A "food and beverage establishment" is a place that serves food and drinks, including restaurants and cafes. 【0660】 "Spatiotemporal position" is a concept that indicates a specific geographical location at a specific time. 【0661】 The system for realizing this application includes server, terminal, and user elements. The server plays a central role in travel planning. Specifically, the server receives travel preference information from the user and collects timetable information and facility operating hours information in real time. This process involves using APIs and databases to retrieve information from the internet. The server has the function of aggregating data related to a specific location and suggesting the optimal spatiotemporal location to the user. The software used includes libraries for data analysis and API clients for acquiring real-time data. 【0662】 Furthermore, the server generates an optimal travel plan based on the collected information and checks for booking availability. It utilizes a generation AI model to create and present prompt messages to improve the efficiency of the travel plan and user satisfaction. An example of such a prompt message would be: "Please create an optimal travel plan based on the user's desired destinations and preferences. I would like to efficiently visit tourist attractions in Osaka while enjoying takoyaki." 【0663】 The terminal presents information from the server to the user and provides an interface for making adjustments. The user can use this interface to customize the presented plan to their individual circumstances. The final travel plan is reviewed, recorded on the terminal, and made accessible in a format usable on the day of travel. 【0664】 The hardware requirements include a high-performance processor and network connectivity within the server, as well as the user's smartphone or tablet device. The software will utilize programming languages ​​such as Python, and external APIs such as Google Maps Platform. This will allow users to efficiently plan and coordinate their trips within a single platform. 【0665】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0666】 Step 1: 【0667】 The server receives travel preference information from the user. This input includes the user's specified destinations, preferred modes of transportation, and information about activities and meals of interest. Upon receiving this data, the server parses it and converts it into a format suitable for further processing. 【0668】 Step 2: 【0669】 The server collects timetable information and facility operating hours information in real time. Inputs include public transportation timetables and facility operation information obtained from the internet. The server uses an API to retrieve this data and extracts relevant information based on the user's preferences. 【0670】 Step 3: 【0671】 The server generates an optimal travel plan based on the collected information. The input is the information from Step 1 and Step 2, which the generating AI model uses to calculate the optimal order of visits and means of transportation. The output is the proposed travel plan. 【0672】 Step 4: 【0673】 The server checks the availability of activities based on the generated plan. Input includes the generated travel plan and the booking status of each facility. The server accesses the booking system to check the availability of each facility. As a result, it outputs a list of available activities. 【0674】 Step 5: 【0675】 The terminal presents a travel plan to the user and provides an interface that allows the user to adjust the plan. The input is a travel plan sent from the server, which the terminal displays. The user can then adjust the order and timing of visits within the displayed plan. 【0676】 Step 6: 【0677】 The device reviews and records the final plan adjusted by the user. The input is the plan confirmed by the user, and the device saves this plan for use on the day of travel. The output is the finalized travel plan. 【0678】 These steps enable the system to efficiently support the user's travel planning and allow for flexible adjustments. Furthermore, by using prompts, the generative AI model can provide a travel experience tailored to the user's preferences. 【0679】 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. 【0680】 This invention is a system that receives travel preference information from a user, recognizes the user's emotions using an emotion engine, and provides an optimal travel plan based on these emotions. This system aims to provide more personalized suggestions, particularly by considering the impact of the user's emotional state on the travel experience. 【0681】 Users use a device to input their travel preferences, including places they want to visit, desired activities, modes of transportation, and travel budget. The device also incorporates an emotion engine that analyzes the user's emotional state in real time based on their voice, facial expressions, and interaction data. 【0682】 The server receives user-entered preferences and emotional data from the emotion engine, and automatically generates a travel plan based on this information. Based on the emotional data, the server makes suggestions to reduce the user's stress and selects destinations that will be more enjoyable. For example, if a tendency to seek relaxation is recognized, the system will recommend visiting calm tourist destinations or spa resorts. 【0683】 The generated travel plan is presented to the user via their device. The plan includes suggestions for the optimal order of visits and modes of transportation, and the user can freely adjust the presented content. The emotion engine helps reduce the user's psychological burden when adjusting the plan. 【0684】 As a concrete example, consider a scenario where a user is planning a sightseeing trip in Tokyo, and the emotion engine detects the user's fatigue level. In this case, the server will either generate a plan that minimizes travel or suggest a plan that includes many relaxing activities. 【0685】 Once the final plan is confirmed, the device saves the information and provides necessary guidance functions to support the user's travel on the day of the trip. Furthermore, the emotion engine monitors the user's emotional state throughout the trip and suggests adjustments in real time to avoid situations that cause excessive stress or dissatisfaction. 【0686】 In this way, this system can adapt to the user's emotions and provide a more personalized travel experience. 【0687】 The following describes the processing flow. 【0688】 Step 1: 【0689】 Users input their travel preferences through the device. This information includes their destination, desired activities, mode of transportation, and budget. The device also senses the user's voice and facial expressions, and an emotion engine analyzes the user's emotional state. 【0690】 Step 2: 【0691】 The device uses an emotion engine to acquire emotional data, which is then sent to a server. This data indicates the user's emotions, such as how excited, stressed, or relaxed they are. 【0692】 Step 3: 【0693】 The server generates the optimal travel plan based on the received emotional data and travel preference information. Here, it takes the user's emotional state into consideration, prioritizing a relaxing schedule and stress-reducing modes of transportation. 【0694】 Step 4: 【0695】 The server collects real-time information on transportation schedules and opening hours for tourist attractions and restaurants, and combines this with sentiment data to build detailed plans. For example, if relaxation is needed, a spa or nature park might be added to the destination. 【0696】 Step 5: 【0697】 The device presents the user with a generated travel plan. This plan includes estimated travel time, modes of transportation, and order of visits. It also displays personalized suggestions tailored to the user's mood and adjustable options. 【0698】 Step 6: 【0699】 Users can review their travel plans and make adjustments based on their emotional state and new preferences. For example, they can change the order of visits or select options to reduce travel time. 【0700】 Step 7: 【0701】 The device records the final plan confirmed by the user and provides notifications and support functions according to the travel itinerary. Furthermore, it monitors the user's emotional state during the trip and provides real-time suggestions for stress reduction as needed. 【0702】 (Example 2) 【0703】 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". 【0704】 Traditional travel planning systems created plans based solely on user preferences, without considering their emotional state. This often resulted in users experiencing stress and dissatisfaction during their trips, making it difficult to provide a personalized and satisfying experience. Furthermore, the inability to respond to real-time changes in emotional states made it challenging to appropriately address unexpected situations during travel. 【0705】 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. 【0706】 In this invention, the server includes means for receiving travel preference information from the user, means for recognizing the user's emotional state, and means for generating an optimized travel plan based on the recognized emotional state and travel preference information. This enables the provision of personalized travel plans that respond to the user's emotions and flexible plan modifications in real time. 【0707】 A "user" refers to an individual or group that utilizes a travel service, and is the entity that provides the system with data on their preferences and emotional state. 【0708】 "Travel preferences" refer to the conditions and requests that users have for their trip, including details such as destinations, activities, transportation, and budget. 【0709】 "Emotional state" refers to the user's psychological and physiological state, and includes emotional tendencies analyzed from voice tone, facial expressions, behavioral data, etc. 【0710】 A "travel plan" is a plan that includes a detailed travel schedule and activity suggestions that are automatically generated based on the user's preferences and emotional state. 【0711】 "Monitoring" refers to the process of tracking users' emotional states in real time, analyzing the data as needed, and developing countermeasures. 【0712】 To implement this invention, the user, terminal, and server each play a specific role. 【0713】 User roles: 【0714】 As a user of the travel service, the user enters their travel preferences into the terminal. This includes information such as places they wish to visit, desired activities, mode of transportation, and travel budget. This allows the system to accurately understand the user's needs. 【0715】 Terminal role: 【0716】 The device incorporates an emotion engine that analyzes the user's voice, facial expressions, and motion data in real time. This emotion engine may utilize existing commercial software; for example, open-source libraries or cloud-based emotion analysis APIs are available. The emotion engine accurately grasps the user's psychological state and prepares the data to be sent to the server. 【0717】 Server role: 【0718】 The server generates a travel plan based on the user's preferences and emotional data received from the terminal. This process utilizes a generative AI model. For example, natural language processing and machine learning algorithms are used to suggest the most suitable tourist destinations based on the user's emotional state. If the user is seeking relaxation, the system will recommend quiet tourist destinations or spa resorts. 【0719】 As a concrete example, suppose a user wants to travel to Tokyo, and the emotion engine detects the user's fatigue. In this case, the server generates and proposes a plan that involves less travel and focuses on relaxing activities. The user can then review the proposal and make adjustments as needed. 【0720】 An example of a prompt in a generative AI model is: "Please suggest a relaxing sightseeing plan in Tokyo. If the user is tired, please suggest activities that minimize travel." 【0721】 This allows users to enjoy a trip optimized for their emotional state. The system individually tailors the user's experience, enabling a more fulfilling travel experience. 【0722】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0723】 Step 1: 【0724】 The user enters travel preferences through the terminal. This information includes places to visit, desired activities, budget, and mode of transportation. The terminal receives this input, converts it into a digital format, and prepares it for further processing. The entered information is stored as data that is sent directly to the server. 【0725】 Step 2: 【0726】 The device activates its built-in emotion engine to analyze the user's voice, facial expressions, and actions in real time. This process utilizes the user's nonverbal communication data as input. The emotion engine analyzes this data to quantify the user's emotional state and extracts it as emotion data. The generated emotion data is then ready to be sent to the server. 【0727】 Step 3: 【0728】 The server receives preference information and sentiment data sent from the terminal. Using both data as input, the server begins the process of creating a travel plan tailored to the user using a generative AI model. The generative AI model analyzes each data point and generates the most appropriate travel plan. This plan includes an optimized combination of suggested destinations, schedules, and modes of transportation. 【0729】 Step 4: 【0730】 The travel plan generated on the server is sent to the terminal. The terminal visually presents the received travel plan to the user. The user can review the plan and, if necessary, change destinations or adjust the schedule. User feedback is processed on the terminal and sent back to the server. 【0731】 Step 5: 【0732】 Once the trip begins, the device continues to use the emotion engine to monitor the user's emotional state. The real-time emotional data is sent to the server as supporting information when unexpected situations arise. Based on this data, the server optimizes the plan and issues real-time suggestions to provide the user with a better travel experience. 【0733】 (Application Example 2) 【0734】 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". 【0735】 Conventional travel planning systems have difficulty considering the emotional state of users, making it impossible to provide travel plans tailored to individual needs. As a result, users often experience excessive stress during their trips or are not able to have the experiences they hoped for. This invention aims to enable the automatic generation of travel plans that take user emotions into consideration. 【0736】 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. 【0737】 In this invention, the server includes means for receiving travel request information from the user, means for collecting timetable information and store operating information in real time, and means for analyzing the user's emotional state using emotion estimation technology and adjusting the travel plan based on the results. This enables the provision of an optimal travel plan based on the user's emotions, resulting in a more satisfying travel experience. 【0738】 A "user" is someone who provides travel preferences and receives an optimized travel plan. 【0739】 "Travel request information" refers to data that includes information such as places the user wants to visit, desired activities, and budget when traveling. 【0740】 "Timetable information" refers to data related to the operating schedules of public transportation. 【0741】 "Store opening hours information" refers to information regarding the opening and closing times of commercial facilities and tourist destinations. 【0742】 "Emotion estimation technology" is a technology that analyzes a user's emotional state in real time from their facial expressions, voice, and other interactions. 【0743】 A "travel plan" is a document outlining the places to visit, modes of transportation, schedule, and other related services for a trip. 【0744】 "Transportation" refers to the methods of travel, including various modes of transport available to the user during their trip. 【0745】 "Optimization" refers to adjusting travel plans based on user requests and emotional states to create the optimal conditions for maximum satisfaction. 【0746】 The system for implementing this invention is realized through the cooperation of a user's terminal and a server in the cloud. The user's terminal is equipped with an input interface for travel preference information and an emotion recognition function that enables emotion estimation technology. This function utilizes the OpenCV library for facial recognition and the Google Speech-to-Text API for speech analysis. 【0747】 Users input travel requests using their devices, and their emotional state is also detected through voice and facial expressions. This allows the system to analyze the user's psychological state in real time, and this information is sent to a server. The server processes this data using AWS Lambda and generates an optimal travel plan based on the user's emotional state. This plan includes elements such as destinations, length of stay, and recommended activities. 【0748】 The generated travel plan is presented to the user via the device, and the user can adjust the proposed plan. The final plan is confirmed by the user and recorded in the system. The device also monitors the user's emotional state during the trip and prompts real-time adjustments to the plan as needed. 【0749】 As a concrete example, consider a scenario where a user requests a tourist destination they want to visit during peak season. When the user's device detects an emotional state indicating stress, the server can create an alternative plan to avoid the peak season at the destination. By adapting to emotions, a more personalized and fulfilling travel experience can be achieved. 【0750】 Example prompt for the generating AI model: "When the user's facial expression indicates calmness, generate a plan suggesting a tranquil and relaxing place. For example, an art museum or a forest bath would be preferable." 【0751】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0752】 Step 1: 【0753】 The user enters travel request information using the device. This information includes places they want to visit, desired activities, and budget. This information is temporarily stored in a database inside the device. 【0754】 Step 2: 【0755】 The device senses the user's facial expressions and voice in real time and analyzes their emotional state using emotion estimation technology. Image data is processed using the OpenCV library, voice data is converted to text using the Google Speech-to-Text API, and an emotion recognition algorithm determines the user's emotional state based on this data. 【0756】 Step 3: 【0757】 The device sends user request information and analyzed emotional state data to the server. The data is structured in JSON format and formatted for easy processing by the server. 【0758】 Step 4: 【0759】 The server uses AWS Lambda to process data based on the user's request information and sentiment data received. It collects timetable information and store opening hours in real time to generate an optimal travel plan. In plan generation, destinations and activities are selected based on the user's sentiment state. 【0760】 Step 5: 【0761】 The generated travel plan is sent from the server to the terminal and displayed on the terminal. The user can review the plan through the terminal's interface and make adjustments as needed. 【0762】 Step 6: 【0763】 The user's final travel plan is confirmed by the device and recorded in the system's database. This record is then used to prepare for the day of travel. 【0764】 Step 7: 【0765】 Throughout the trip, the device continues to use emotion estimation technology to continuously monitor the user's emotional state. If excessive stress is detected, the device communicates with the server to suggest adjustments to the plan in real time. 【0766】 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. 【0767】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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. 【0768】 In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0769】 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. 【0770】 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. 【0771】 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. 【0772】 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. 【0773】 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. 【0774】 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." 【0775】 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. 【0776】 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. 【0777】 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. 【0778】 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. 【0779】 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. 【0780】 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. 【0781】 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 memory. 【0782】 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. 【0783】 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. 【0784】 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. 【0785】 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. 【0786】 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. 【0787】 The following is further disclosed regarding the embodiments described above. 【0788】 (Claim 1) 【0789】 A means of receiving travel preference information from users, 【0790】 A means of collecting timetable information and store opening hours information in real time, 【0791】 A means of generating the optimal travel plan based on the collected information, 【0792】 A means of checking and proposing the availability of the service based on the generated plan, 【0793】 A means to present travel plans to users and allow users to adjust the plans, 【0794】 A means to review and record the final plan after adjustments, 【0795】 A system that includes this. 【0796】 (Claim 2) 【0797】 The system according to claim 1, further comprising means for optimizing the order of visits based on user preferences. 【0798】 (Claim 3) 【0799】 The system according to claim 1, further comprising means for calculating the optimal route for means of transport. 【0800】 "Example 1" 【0801】 (Claim 1) 【0802】 A means of obtaining travel preferences from users, 【0803】 A means of obtaining real-time information on transportation methods and facility usage times from external sources, 【0804】 A means of creating the optimal itinerary based on the acquired information, 【0805】 A means to check and suggest the availability of activities offered based on the created itinerary, 【0806】 A means to present a travel plan to the user and allow the user to adjust the plan, 【0807】 A means of reviewing and saving the adjusted final plan, 【0808】 A system that includes this. 【0809】 (Claim 2) 【0810】 The system according to claim 1, further comprising means for optimizing the order of visits based on user preferences. 【0811】 (Claim 3) 【0812】 The system according to claim 1, further comprising means for calculating the optimal route for a method of movement. 【0813】 "Application Example 1" 【0814】 (Claim 1) 【0815】 A device that receives travel preference information from users, 【0816】 A device that collects timetable information and facility operating time information in real time, 【0817】 A device that creates an optimal travel plan based on the collected information, 【0818】 A device that checks and proposes whether an activity can be booked based on the generated plan, 【0819】 A device that displays a travel plan to the user and allows the user to adjust the plan, 【0820】 A device to confirm and record the final plan after adjustments, 【0821】 A device that aggregates data from public transportation, tourist facilities, and restaurants to propose the optimal spatiotemporal location for the user, 【0822】 A system that includes this. 【0823】 (Claim 2) 【0824】 The system according to claim 1, further comprising a device for optimizing the order of visits in accordance with user requests. 【0825】 (Claim 3) 【0826】 The system according to claim 1, further comprising a device for calculating the optimal route for a means of transport. 【0827】 "Example 2 of combining an emotion engine" 【0828】 (Claim 1) 【0829】 A means of receiving travel preference information from users, 【0830】 A means of recognizing the user's emotional state, 【0831】 A means for generating an optimized travel plan based on recognized emotional states and travel preference information, 【0832】 A generated travel plan is presented to the user, and a means is provided for the user to adjust the plan. 【0833】 A means of reviewing and recording the adjusted plan, 【0834】 A means of monitoring the user's emotional state in real time during travel and suggesting adjustments to the plan, 【0835】 A system that includes this. 【0836】 (Claim 2) 【0837】 The system according to claim 1, further comprising means for generating suggestions to reduce user stress. 【0838】 (Claim 3) 【0839】 The system according to claim 1, further comprising means for selecting a destination based on emotional state. 【0840】 "Application example 2 when combining with an emotional engine" 【0841】 (Claim 1) 【0842】 A means of receiving travel request information from users, 【0843】 A means of collecting timetable information and store opening hours information in real time, 【0844】 A means of generating an optimal travel plan based on collected information, 【0845】 A means for analyzing a user's emotional state using emotion estimation technology and adjusting the travel plan based on the results, 【0846】 A means of checking and proposing the availability of the service based on the generated plan, 【0847】 A means to present a travel plan to the user and allow the user to adjust the plan, 【0848】 A means of confirming and recording the final plan after adjustments, 【0849】 A system that includes this. 【0850】 (Claim 2) 【0851】 The system according to claim 1, further comprising means for optimizing the order of visits based on user preferences. 【0852】 (Claim 3) 【0853】 The system according to claim 1, further comprising means for calculating the optimal route for a means of transport. [Explanation of Symbols] 【0854】 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 receiving travel preference information from users, A means of collecting timetable information and store opening hours information in real time, A means of generating the optimal travel plan based on the collected information, A means of checking and proposing the availability of the service based on the generated plan, A means to present travel plans to users and allow users to adjust the plans, A means to confirm and record the final plan after adjustments, A system that includes this. [Claim 2] The system according to claim 1, further comprising means for optimizing the order of visits based on the user's preferences. [Claim 3] The system according to claim 1, further comprising means for calculating the optimal route for means of transport.

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