system

Abstract

We provide the system. [Solution] A means of receiving traveler input information and generating individually customized sightseeing plans, A means for calculating and guiding the optimal route between destinations in real time based on the aforementioned sightseeing plan, Multilingual support provides a means to translate necessary information, Means of providing alternative solutions to problems that may arise during travel, 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 persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance 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】 To solve the problem that foreign travelers feel difficulty in obtaining tourism information and formulating travel plans due to language barriers and cultural differences. Also, to support smooth continuation of travel even in situations where quick response to planned changes and troubles during travel is required. 【Means for Solving the Problems】 【0005】 This invention provides a system that receives input information based on travelers' interests and generates individually customized travel plans based on that information. Furthermore, it includes real-time calculation and guidance of the optimal route between destinations, multilingual translation functionality, and prompt responses to problems that arise during travel by offering alternative solutions. By integrating these features, the system provides a means for travelers to enjoy their trips comfortably, overcoming language and cultural barriers. 【0006】 A "traveler" refers to an individual who is moving to visit a specific destination. 【0007】 "Input information" refers to data provided by travelers, such as their interests, schedules, and language. 【0008】 A "tourism plan" refers to a suggested itinerary and route created based on the traveler's hobbies and interests. 【0009】 "Multilingual support" refers to the function of providing translation and guidance between different languages. 【0010】 "Navigation" refers to a function that provides route guidance to a destination or location-based guidance. 【0011】 An "alternative plan" refers to another option presented when the original plan encounters difficulties. 【0012】 A "system" refers to a set of related elements or functions configured to achieve a specific purpose. [Brief explanation of the drawing] 【0013】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of 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. <00​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0017】 In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0018】 In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like. 【0019】 In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0020】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0021】 [First Embodiment] 【0022】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0023】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0024】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0025】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0026】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0027】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0028】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0029】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0030】 As shown in Figure 2, in the data processing device 12, 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. 【0031】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0032】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0033】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0034】 This invention is configured as an integrated system to assist travelers. To ensure travelers can enjoy sightseeing smoothly, this system functions as follows: 【0035】 Users first input information such as their interests, planned destinations, and schedule into the terminal. This allows the system to collect data to provide the user with the most suitable travel experience. Then, users can specify their individual travel needs by selecting details such as their preferred language and mode of transportation. 【0036】 Next, the server receives this user data and collects information on relevant tourist spots, restaurants, events, etc., by referring to databases and external APIs. In this information collection process, statistical information and review ratings are taken into consideration according to the user's unique interests, and the most appropriate destinations are selected. 【0037】 Based on the collected information, the server generates a personalized sightseeing plan. This plan meticulously outlines the order of visits and time allocations to enable efficient travel. Furthermore, restaurants tailored to the user's preferences are suggested for meal times. 【0038】 Once the plan is complete, the device displays it to the user and provides detailed route guidance from the starting point to each destination. The navigation function is GPS-based and helps users reach their destinations without getting lost. 【0039】 Furthermore, information is updated in real time, and plans are automatically adjusted according to traffic conditions and schedule changes. The server also provides tourist information, restaurant menus, and other content in the user's chosen language through a multilingual translation service, thus eliminating language barriers. 【0040】 For example, if a user is interested in nature and gourmet food, they can input that information into their device, and the server will create a plan to visit nearby nature parks and highly-rated local restaurants. Throughout this process, even users who speak different languages ​​will be presented with information in their respective languages, allowing them to enjoy sightseeing without difficulty. 【0041】 In this way, the present invention realizes a system that allows travelers to overcome language and cultural differences with peace of mind and enjoy a comfortable and fulfilling sightseeing experience. 【0042】 The following describes the processing flow. 【0043】 Step 1: 【0044】 The user uses their device to input their interests, planned destinations, schedule, preferred language, and mode of transportation. Based on this information, a personalized travel plan is created for the user. 【0045】 Step 2: 【0046】 The device sends the entered information to the server. This includes information about the user's interests, travel schedule, language settings, etc. 【0047】 Step 3: 【0048】 The server analyzes the received information, accesses databases of tourist spots and restaurants, and collects relevant information. Location information and user ratings are also considered during this selection process. 【0049】 Step 4: 【0050】 Based on data collected by the server, a travel plan is generated that matches the user's interests and schedule. This plan includes the order of places to visit, travel routes, and allocation of time for each location. 【0051】 Step 5: 【0052】 The terminal displays a sightseeing plan received from the server to the user. The plan includes details such as destinations, estimated arrival times, and transportation methods. 【0053】 Step 6: 【0054】 The server checks traffic information and schedule changes in real time and updates the plan as needed. This allows you to travel efficiently while taking the latest information into consideration. 【0055】 Step 7: 【0056】 The device provides GPS-based navigation, guiding the user to their destination. The directions are updated in real time, supporting travel without getting lost. 【0057】 Step 8: 【0058】 The server uses its multilingual capabilities to translate tourist information and menus into the language specified by the user and send them to the device. This enables smooth communication that transcends language barriers. 【0059】 Step 9: 【0060】 If a user encounters any problems during their trip, they can request support from their device, and the server will respond quickly and provide alternative solutions. This allows for immediate response to unforeseen circumstances during travel. 【0061】 (Example 1) 【0062】 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." 【0063】 In recent years, in order to meet increasingly diverse travel needs, there has been a demand to provide travelers with travel plans that match their individual interests and conditions. Existing systems struggle to efficiently generate plans that meet these requests and to respond in real time, and language barriers often limit information access. As a result, travelers are unable to enjoy their trips without stress. 【0064】 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. 【0065】 This invention includes a server that receives input information from travelers and generates individually customized travel plans using data analysis techniques, calculates the optimal route from the departure point to the destination and provides real-time guidance considering local information, and provides a multilingual translation service through an information display terminal to overcome language barriers. As a result, travelers can obtain an optimal travel plan tailored to their individual needs in real time, enabling them to enjoy a comfortable and efficient trip while overcoming language barriers during their travels. 【0066】 A "traveler" refers to an individual who intends to visit different geographical locations with a specific purpose. 【0067】 "Input information" refers to information that travelers provide through their devices, such as their interests in the destination, schedule, and language selection. 【0068】 "Data analysis methods" refer to a series of processes that use statistical methods and algorithms to derive the optimal solution based on collected information. 【0069】 A "travel plan" refers to a detailed plan that specifically outlines the order in which to visit tourist destinations, the time allocation, and the means of transportation, tailored to the individual needs of the traveler. 【0070】 "Route" refers to the path a traveler takes to reach their destination, and may include the means of transportation and geographical location information. 【0071】 "Real-time guidance" refers to providing immediate support based on the current situation to help travelers reach their destination smoothly. 【0072】 "Multilingual support" refers to providing automatically translated information to users who speak different languages. 【0073】 A "translation service" refers to a function that converts information provided in one language into another language and provides it to the user. 【0074】 An "information display terminal" refers to an electronic device used by travelers to input information and receive travel plans and guidance. 【0075】 This invention provides a system that allows travelers to comfortably enjoy travel plans tailored to their individual needs. For the system to function, the user, terminal, and server elements work together. 【0076】 Users input information such as their interests, planned destinations, schedules, language selections, and modes of transportation into an information display terminal. This terminal utilizes widely used electronic devices such as smartphones and tablets. 【0077】 The terminal receives information collected from the user and transmits it to the server. The terminal also displays travel plans and route guidance received from the server to the user. For display, it uses Google® Maps or similar GPS-based navigation applications to provide detailed route guidance. 【0078】 The server analyzes user information received from the terminal and generates individually customized travel plans using data analysis techniques. This involves using databases and external APIs (for example, APIs that provide travel-related information). Based on the collected information, the server creates a plan that incorporates the most suitable tourist destinations, restaurants, and event information. 【0079】 Furthermore, the server updates information in real time based on local data and adjusts travel plans as needed. In this process, a multilingual translation service is provided to users who speak different languages, enabling them to overcome language barriers and receive information smoothly. 【0080】 For example, if a user wants to travel with a theme of "nature" or "gourmet food," they can input that information into their device, and the server can generate a travel plan that includes nearby nature parks and highly-rated local restaurants. An example of a prompt would be, "Please suggest a sightseeing plan for a traveler to enjoy nature and gourmet food." By using this in the AI ​​generation model, it is possible to generate an optimal plan that meets the user's needs. 【0081】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0082】 Step 1: 【0083】 Users use an information display terminal to input details such as their travel interests, planned destinations, schedule, language selection, and mode of transportation. The terminal retrieves and stores this information digitally. The entered information reflects the user's travel needs. 【0084】 Step 2: 【0085】 The terminal sends the information entered by the user to the server. During this process, the information is encrypted using a security protocol and transmitted securely. The input includes information about the user's interests, planned locations, and schedules, which the server receives and prepares for analysis. 【0086】 Step 3: 【0087】 The server queries databases and external APIs based on the received data to collect information on tourist attractions, restaurants, and events that match the user's interests. Specifically, it uses statistical algorithms to analyze the data and identify possible options based on that analysis. This process performs data calculations to create a travel plan that best suits the user's needs. 【0088】 Step 4: 【0089】 Based on the collected information, the server uses a generative AI model to generate a personalized travel plan. This process creates an overall plan that includes efficient routes, optimal time allocation, and recommended dining spots. The output is a detailed travel plan, ready for transmission to the user's device. 【0090】 Step 5: 【0091】 The server sends the generated travel plan back to the device. The device receives it and displays it to the user visually. The itinerary includes specific route guidance based on local map information and supports real-time navigation using GPS. 【0092】 Step 6: 【0093】 The server continuously collects real-time information during travel and automatically adjusts the travel plan according to traffic conditions and user behavior. It also searches for new information as needed and incorporates it into the plan. This step involves continuous optimization to ensure an efficient and flexible travel experience. 【0094】 Step 7: 【0095】 The server automatically translates information according to the selected language and provides it to the user. This allows users to easily understand information in different languages. Translated information is presented to the user, eliminating language barriers. 【0096】 (Application Example 1) 【0097】 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." 【0098】 When travelers visit tourist destinations, they need individually optimized plans from a vast amount of information to efficiently enjoy sightseeing based on their individual interests and schedules. However, doing this manually is extremely time-consuming, and language and cultural barriers also exist. Furthermore, there is a lack of systems that automatically update information in real time and optimize travel routes. A system that solves these problems and enables travelers to enjoy sightseeing smoothly is needed. 【0099】 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. 【0100】 In this invention, the server includes means for receiving traveler input information and generating individually customized sightseeing plans, means for analyzing sightseeing resources in real time based on the traveler's interests and schedule and providing an individually optimized experience, and means for providing real-time route guidance using GPS with the traveler's current location information. This enables travelers to easily manage complex information and efficiently and smoothly enjoy sightseeing that suits their interests. 【0101】 A "traveler" is someone who leaves their place of residence to visit another place for purposes such as sightseeing or business trips. 【0102】 "Input information" refers to data provided by travelers, such as their interests, itinerary, and planned destinations. 【0103】 A "customized sightseeing plan" is a suggestion of sightseeing routes and destinations optimized based on the traveler's individual interests and schedule. 【0104】 "Multilingual support" refers to the function of translating and providing information to travelers who speak different languages. 【0105】 "A means of calculating and guiding in real time" refers to a function that instantly calculates and provides the optimal travel route based on the current situation and location information. 【0106】 "Tourism resources" refer to places and events that travelers can visit or experience, such as tourist destinations, restaurants, and events. 【0107】 "Real-time route guidance using GPS" is a function that uses a global positioning system to instantly provide travelers with the optimal travel route from their current location to their destination. 【0108】 This invention is a system for providing travelers with individually customized sightseeing plans. The system consists of a terminal used by the traveler and a cloud-based server connected to it. 【0109】 First, the user inputs their interests, planned destinations, and schedule via their device. This information is sent from the device to the server. The server runs a data processing program using Python to analyze this data. AI algorithms such as TENSORFLOW® and PyTorch operate on the server, analyzing and selecting tourist resources that match the traveler's interests and schedule in real time. 【0110】 The selected sightseeing plan is generated along with an efficient travel route and delivered to the device. The device is developed using Flutter® and presents the plan to the user in a visually appealing and easy-to-use format. It also utilizes GPS location information to enable real-time route guidance. The system updates information in real time via Firebase and automatically optimizes the plan in response to changing traffic conditions and event information. 【0111】 The system also features multilingual support; selected information is translated into the chosen language via a cloud-based translation service and displayed on the device. This allows travelers who speak different languages ​​to easily access tourist information. 【0112】 For example, a traveler who wants to enjoy nature sightseeing and local food on a Sunday would enter the keywords "nature" and "local cuisine" into the terminal. The system would then consider the day's schedule and weather conditions to suggest the most suitable tourist destinations and restaurants, and guide users on efficient routes to each location. 【0113】 An example of a prompt message for the generating AI model would be: "Generate a real-time sightseeing plan based on the user's interests and schedule. Include specific sightseeing spots and transportation options, take language support into consideration, and output the results as a notification to the user's smartphone." Using this prompt, the AI ​​model will create and deliver the most suitable sightseeing plan to the user. 【0114】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0115】 Step 1: 【0116】 Users input information such as their interests, planned destinations, and schedules using devices like smartphones or smart glasses. This information is collected as input data on the device. The output at this stage is an individual traveler dataset. 【0117】 Step 2: 【0118】 The terminal sends the entered user data to a server in the cloud. The server executes a program written in Python, structuring and analyzing the user data. The resulting output is user information restructured into an analyzable data format. 【0119】 Step 3: 【0120】 The server runs generative AI models using TensorFlow and PyTorch to process and compute data to select the most suitable tourist resources based on the user's interests and schedule. The input is structured user information, and the output is a temporary dataset of tourist plans. 【0121】 Step 4: 【0122】 Based on the generated sightseeing plan, the server optimizes the travel route. Using the current location and selected sightseeing destinations as input, it calculates the optimal route in real time. The output is the most efficient travel route between destinations. 【0123】 Step 5: 【0124】 The generated sightseeing plans and routes are integrated into a multilingual translation service. This includes a process where the information is translated according to the selected language. As a result, the output becomes travel plan information that can be displayed on the user's device. 【0125】 Step 6: 【0126】 The device displays the translated plan received from the server, providing it visually to the user. The device uses Flutter to present the information in a user-friendly format. The navigation function is activated, performing real-time route guidance using GPS. The output is the delivery of these results to the user. 【0127】 Step 7: 【0128】 During your trip, the server collects information on traffic conditions, weather, and event updates, and recalculates your plan in real time. The resulting output is an updated sightseeing plan tailored to your current situation. 【0129】 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. 【0130】 This invention is configured as a system that combines an emotion engine to optimize the traveler's travel experience. The system provides a customized sightseeing plan based on the traveler's input information, and further utilizes the emotion engine to recognize the traveler's emotions in real time and adjust the plan accordingly. 【0131】 Users first use their device to input their interests, planned destinations, and travel schedule. At this stage, they can also select their preferred language and mode of transportation. 【0132】 Next, the terminal sends the user's input information to the server. The server receives this information, consults its database, and collects and analyzes relevant information about tourist attractions, restaurants, and events. 【0133】 Based on the collected information, the server generates a sightseeing plan that matches the user's interests and schedule. This plan optimally determines the order of places to visit, travel routes, and time allocation, taking user convenience into consideration. 【0134】 The generated plan is sent to the device and displayed to the user. The device also uses GPS to provide navigation information from the user's current location to each destination. This feature allows the user to travel without getting lost. 【0135】 A key feature of this system is that the server utilizes an emotion engine to recognize the user's emotions from their words, actions, and facial expressions. This emotion data is then analyzed to adjust the sightseeing plan to match the user's emotional state. For example, if the emotion engine determines that the user is tired, the plan can be eased, and rest periods increased. 【0136】 Furthermore, the emotion engine also influences the information presented and the translation function. When a user is feeling anxious, the system takes approaches such as providing more detailed information or displaying reassuring messages. 【0137】 For example, if a user shows signs of anxiety during their trip, the device will suggest a more stable mode of transportation and provide enhanced, specific guidance to help them continue their sightseeing. This can increase the traveler's sense of security. 【0138】 Thus, the system of the present invention provides a comfortable and personalized travel experience by understanding the emotions of travelers and responding flexibly accordingly. It also quickly addresses unexpected situations, helping travelers achieve their goals without stress. 【0139】 The following describes the processing flow. 【0140】 Step 1: 【0141】 Users use their devices to input their interests, planned destinations, and travel schedules. They also set their language and mode of transportation, preparing the system to understand their specific needs. 【0142】 Step 2: 【0143】 The terminal sends the entered data to the server. This data includes user interests and schedule information, and the server performs the following actions based on this information. 【0144】 Step 3: 【0145】 The server collects information on tourist attractions, restaurants, and events from travel destination databases and external APIs. The retrieved information is then filtered according to the user's interests. 【0146】 Step 4: 【0147】 The server analyzes the collected information and generates individually customized sightseeing plans. These plans include the order of visits, travel routes, and allocation of time for each location. 【0148】 Step 5: 【0149】 The device receives the generated sightseeing plan and displays it visually to the user. This plan clearly shows the places to visit, modes of transportation, and time allocation. 【0150】 Step 6: 【0151】 The server uses an emotion engine to analyze user emotional data in real time. It recognizes emotions through the user's facial expressions and voice, and considers adjusting the plan based on the results. 【0152】 Step 7: 【0153】 The server analyzes emotional data and modifies the plan as needed. For example, if fatigue is detected, it will add a rest area. 【0154】 Step 8: 【0155】 The device uses GPS functionality to determine the user's current location and provide navigation. It guides the user to the optimal route to their destination in real time. 【0156】 Step 9: 【0157】 The server adjusts multilingual translation results and optional information based on the user's emotions and delivers them to the device. This allows users to receive the necessary information in the most optimal format when they need it. 【0158】 Step 10: 【0159】 If a user reports a problem during their trip, the device sends that information to a server, which quickly provides alternatives and solutions. This helps travelers continue their journey. 【0160】 (Example 2) 【0161】 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 will be referred to as the "terminal." 【0162】 With conventional technology, it has been difficult for travelers to obtain a travel experience optimized according to their interests and emotions. There is a need for real-time optimal route guidance, multilingual information provision, and rapid resolution of problems that arise during travel. Furthermore, there is a desire to provide a more comfortable and personalized experience by flexibly adjusting the itinerary based on the traveler's emotions. 【0163】 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. 【0164】 In this invention, the server includes means for receiving information entered by travelers and generating individually tailored travel plans, means for calculating and guiding travelers to the optimal route between destinations in real time based on the travel plans, and means for analyzing the travelers' emotional state and adjusting the travel plans in real time. This makes it possible to flexibly respond to the diverse needs of travelers and provide a comfortable and personalized travel experience. 【0165】 "Traveler-entered information" refers to information that travelers fill in, such as their interests, planned destinations, travel itinerary, language used, and mode of transportation. 【0166】 A "personally tailored travel plan" is a customized itinerary based on the traveler's input information and interests, with optimized order of destinations, travel routes, and time allocation. 【0167】 An "optimal route" is a travel path calculated to allow travelers to move safely and efficiently between destinations. 【0168】 "Calculating and providing guidance in real time" means providing travelers with the optimal route and instructions immediately, based on current conditions and location information. 【0169】 "Multilingual support" refers to the function of translating information into the language used by travelers and providing the necessary information. 【0170】 "Analyzing emotional states and adjusting travel plans in real time" means analyzing travelers' behavior and biometric information, and dynamically changing the itinerary based on the results. 【0171】 "Providing alternatives" means guiding travelers to other options or solutions when they encounter a problem. 【0172】 This invention is a system designed to optimize the traveler's travel experience. Specifically, it is achieved through the cooperation of the user, terminal, and server. 【0173】 Users enter travel information using their devices. This information includes the traveler's interests, places they want to visit, schedule, preferred language, and preferred mode of transportation. 【0174】 The device transmits information collected from the user to a server via a secure protocol. The device also utilizes GPS functionality to provide guidance based on the user's location. It supports travel by updating information in real time and displaying maps and schedules through the user interface. 【0175】 The server combines received information with data on tourist destinations, restaurants, and events collected from various databases, and analyzes it using an AI model to generate a personalized travel plan. This plan is optimized based on the user's interests, taking into account the order of places to visit, travel routes, and duration. Furthermore, the server utilizes an emotion engine to analyze the user's emotional state and adjust the plan in real time accordingly. The server then transmits this information to the user's device, providing a flexible travel experience. 【0176】 For example, if a user becomes tired during a trip, the emotion engine recognizes this state, and the server updates the plan and suggests taking a break. Furthermore, if the user feels anxious about directions or language barriers, the device provides more detailed directions and translation functions. In this way, personalized services are provided according to the user's state. 【0177】 An example of a prompt that can be input into the generating AI model is a question such as, "If the user gets tired, how should I adjust the travel plan?" Through this prompt, the system can provide more accurate suggestions for travel planning. 【0178】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0179】 Step 1: 【0180】 Users use a device to input travel-related information. Specifically, they enter categories of interest (e.g., history, nature), planned destinations, travel schedule, preferred language, and mode of transportation in text format. This input information is recorded as digital data on the device. 【0181】 Step 2: 【0182】 The terminal sends information obtained from the user to the server. For data protection purposes, the data is encrypted and sent to the server using a dedicated protocol (e.g., HTTPS). The input data here is the user's input information, and the output is the transmission of encrypted data to the server. 【0183】 Step 3: 【0184】 Based on the received information, the server references multiple databases to collect information on tourist destinations, restaurants, and events. The data input is user information, and relevant tourist information is extracted from the databases. This data is then formatted for analysis. 【0185】 Step 4: 【0186】 The server utilizes a generative AI model to generate personalized travel plans tailored to the user's interests and schedule. Specifically, it uses machine learning algorithms to classify interests and determine the optimal order of visits, travel routes, and time allocation. The input is formatted travel information, and the output is an optimized travel plan. 【0187】 Step 5: 【0188】 The server sends the generated sightseeing plan to the terminal. The terminal displays this data to the user using a wide range of user interfaces. The input data is an optimized sightseeing plan, and the output is in a visually verifiable format for the user. The terminal also launches a map application to assist with navigation. 【0189】 Step 6: 【0190】 The server uses an emotion engine to analyze the user's emotional state. This process uses input prompts and the user's biometric data (e.g., heart rate and facial recognition data) to identify the user's emotional state in real time. Based on these analysis results, the sightseeing plan is adjusted. 【0191】 Step 7: 【0192】 The server uses the results of the emotion engine to adjust and update the sightseeing plan as needed. For example, if fatigue is detected, it will suggest rest stops, making rapid plan changes based on the traveler's condition. The input is the result of the emotion analysis, and the output is the adjusted sightseeing plan. 【0193】 Step 8: 【0194】 The device displays the adjusted plan to the user again and provides reassuring messages and additional information based on the updated information. This reduces misunderstandings and anxieties for travelers, allowing them to enjoy their trip smoothly. 【0195】 (Application Example 2) 【0196】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0197】 In recent years, travelers have been seeking more personalized experiences than simply visiting tourist destinations. However, traditional tour planning systems struggle to adapt in real time to travelers' emotions and changing circumstances, failing to alleviate their stress and anxiety. Furthermore, there is often a lack of sufficient information and translation to bridge cultural and language gaps. As a result, travel experiences tend to be monotonous. 【0198】 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. 【0199】 In this invention, the server includes means for receiving input information from travelers and generating individually customized sightseeing plans, means for detecting the travelers' emotions using sensors and analyzing emotional data, and means for adjusting the sightseeing plan in real time based on the emotional data. This enables flexible and personalized travel planning that responds to the travelers' emotions, as well as reassuring support. 【0200】 "Traveler input information" refers to information that travelers provide to the system, such as their interests, planned destinations, and travel schedule. 【0201】 A "customized sightseeing plan" is a travel plan formulated according to the individual traveler's interests and schedule, with optimized order and route of visits. 【0202】 The "optimal route" is a path calculated considering time efficiency and convenience from the traveler's current location to their destination. 【0203】 "Multilingual support" refers to a function that translates information provided in different languages, making it understandable to users in their preferred language. 【0204】 "Alternatives" are options or additional action plans provided by the system in case problems arise during travel. 【0205】 "Detecting emotions with sensors" refers to technology that identifies travelers' emotional states from their facial expressions, voices, and other cues. 【0206】 "Emotional data" refers to information that represents the emotions of travelers, which is then digitized and used to adjust travel plans. 【0207】 "Real-time adjustment" means instantly changing and optimizing the sightseeing plan according to the traveler's emotions and circumstances. 【0208】 The system for realizing this invention uses specific hardware and software to provide travelers with suitable sightseeing plans and to make real-time adjustments based on the travelers' emotions. It is primarily operated by a server, terminals, and the travelers themselves. 【0209】 The server receives traveler input information and generates individually customized sightseeing plans using a generative AI model. Based on this information, the server performs multilingual translation and provides the information in a language that is easy for the user to understand. 【0210】 The terminal functions as an interface for travelers to input information and communicate with the server. Equipped with sensors such as a camera and microphone, the terminal detects the traveler's emotions. This allows it to receive emotion data from the server and update the plan in real time if the traveler is feeling stressed, providing a more reassuring sightseeing route and detailed information. 【0211】 As a concrete example, when a family traveler uses the system, it can provide the optimal route to tourist attractions and suggest resting in a nearby park if the children get tired. Furthermore, using a prompt example such as, "We'd like a relaxing sightseeing trip today. What kind of spots would be good?", the system will suggest a plan tailored to that request. 【0212】 This system enables flexible and personalized travel experiences to enhance traveler well-being. It also addresses anxieties and problems that may arise during travel, supporting travelers in having a fulfilling experience. 【0213】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0214】 Step 1: 【0215】 Users use a terminal to input their interests, planned destinations, and travel schedule. The entered data is sent from the terminal to a server, forming the basis for customizing the user's desired travel experience. Input is in text format, and output is transmitted to the server. 【0216】 Step 2: 【0217】 The server uses a generative AI model to generate individual sightseeing plans from the received input information. Based on the input data, it consults a database to retrieve relevant spots and event information and calculates the optimal sightseeing route that matches the user's schedule and interests. The generated plan is output as text data and sent to the terminal. 【0218】 Step 3: 【0219】 The device displays the received sightseeing plan to the user. Furthermore, it uses GPS to obtain the user's current location and provides real-time navigation information. The user's location information is used as input, and optimized route information is output. 【0220】 Step 4: 【0221】 The server uses an emotion engine to analyze sensor information (camera images and audio) transmitted from the terminal and recognize the user's emotions. The detected emotion data is used as a basis for adjusting the current plan. The input is sensor data, and the output is the analyzed emotion data. 【0222】 Step 5: 【0223】 If a specific emotional state is detected, such as fatigue, the server uses a generative AI model to readjust the sightseeing plan and send it to the device. The aim is to provide a more reassuring travel experience by relaxing the plan or adding new suggestions. The input is emotional data, and the output is the adjusted sightseeing plan. 【0224】 In this way, users can enjoy a personalized, emotionally resonant, and flexible travel experience. 【0225】 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. 【0226】 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. 【0227】 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. 【0228】 [Second Embodiment] 【0229】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0230】 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. 【0231】 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). 【0232】 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. 【0233】 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. 【0234】 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). 【0235】 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. 【0236】 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. 【0237】 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. 【0238】 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. 【0239】 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. 【0240】 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". 【0241】 This invention is configured as an integrated system to assist travelers. To ensure travelers can enjoy sightseeing smoothly, this system functions as follows: 【0242】 Users first input information such as their interests, planned destinations, and schedule into the terminal. This allows the system to collect data to provide the user with the most suitable travel experience. Then, users can specify their individual travel needs by selecting details such as their preferred language and mode of transportation. 【0243】 Next, the server receives this user data and collects information on relevant tourist spots, restaurants, events, etc., by referring to databases and external APIs. In this information collection process, statistical information and review ratings are taken into consideration according to the user's unique interests, and the most appropriate destinations are selected. 【0244】 Based on the collected information, the server generates a personalized sightseeing plan. This plan meticulously outlines the order of visits and time allocations to enable efficient travel. Furthermore, restaurants tailored to the user's preferences are suggested for meal times. 【0245】 Once the plan is complete, the device displays it to the user and provides detailed route guidance from the starting point to each destination. The navigation function is GPS-based and helps users reach their destinations without getting lost. 【0246】 Furthermore, information is updated in real time, and plans are automatically adjusted according to traffic conditions and schedule changes. The server also provides tourist information, restaurant menus, and other content in the user's chosen language through a multilingual translation service, thus eliminating language barriers. 【0247】 For example, if a user is interested in nature and gourmet food, they can input that information into their device, and the server will create a plan to visit nearby nature parks and highly-rated local restaurants. Throughout this process, even users who speak different languages ​​will be presented with information in their respective languages, allowing them to enjoy sightseeing without difficulty. 【0248】 In this way, the present invention realizes a system that allows travelers to overcome language and cultural differences with peace of mind and enjoy a comfortable and fulfilling sightseeing experience. 【0249】 The following describes the processing flow. 【0250】 Step 1: 【0251】 The user uses their device to input their interests, planned destinations, schedule, preferred language, and mode of transportation. Based on this information, a personalized travel plan is created for the user. 【0252】 Step 2: 【0253】 The device sends the entered information to the server. This includes information about the user's interests, travel schedule, language settings, etc. 【0254】 Step 3: 【0255】 The server analyzes the received information, accesses databases of tourist spots and restaurants, and collects relevant information. Location information and user ratings are also considered during this selection process. 【0256】 Step 4: 【0257】 Based on data collected by the server, a travel plan is generated that matches the user's interests and schedule. This plan includes the order of places to visit, travel routes, and allocation of time for each location. 【0258】 Step 5: 【0259】 The terminal displays a sightseeing plan received from the server to the user. The plan includes details such as destinations, estimated arrival times, and transportation methods. 【0260】 Step 6: 【0261】 The server checks traffic information and schedule changes in real time and updates the plan as needed. This allows you to travel efficiently while taking the latest information into consideration. 【0262】 Step 7: 【0263】 The device provides GPS-based navigation, guiding the user to their destination. The directions are updated in real time, supporting travel without getting lost. 【0264】 Step 8: 【0265】 The server uses its multilingual capabilities to translate tourist information and menus into the language specified by the user and send them to the device. This enables smooth communication that transcends language barriers. 【0266】 Step 9: 【0267】 If a user encounters any problems during their trip, they can request support from their device, and the server will respond quickly and provide alternative solutions. This allows for immediate response to unforeseen circumstances during travel. 【0268】 (Example 1) 【0269】 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." 【0270】 In recent years, in order to meet increasingly diverse travel needs, there has been a demand to provide travelers with travel plans that match their individual interests and conditions. Existing systems struggle to efficiently generate plans that meet these requests and to respond in real time, and language barriers often limit information access. As a result, travelers are unable to enjoy their trips without stress. 【0271】 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. 【0272】 This invention includes a server that receives input information from travelers and generates individually customized travel plans using data analysis techniques, calculates the optimal route from the departure point to the destination and provides real-time guidance considering local information, and provides a multilingual translation service through an information display terminal to overcome language barriers. As a result, travelers can obtain an optimal travel plan tailored to their individual needs in real time, enabling them to enjoy a comfortable and efficient trip while overcoming language barriers during their travels. 【0273】 A "traveler" refers to an individual who intends to visit different geographical locations with a specific purpose. 【0274】 "Input information" refers to information that travelers provide through their devices, such as their interests in the destination, schedule, and language selection. 【0275】 "Data analysis methods" refer to a series of processes that use statistical methods and algorithms to derive the optimal solution based on collected information. 【0276】 A "travel plan" refers to a detailed plan that specifically outlines the order in which to visit tourist destinations, the time allocation, and the means of transportation, tailored to the individual needs of the traveler. 【0277】 "Route" refers to the path a traveler takes to reach their destination, and may include the means of transportation and geographical location information. 【0278】 "Real-time guidance" refers to providing immediate support based on the current situation to help travelers reach their destination smoothly. 【0279】 "Multilingual support" refers to providing automatically translated information to users who speak different languages. 【0280】 A "translation service" refers to a function that converts information provided in one language into another language and provides it to the user. 【0281】 The "information display terminal" refers to an electronic device used by travelers to input information and receive travel plans and guides. 【0282】 This invention provides a system that enables travelers to comfortably enjoy travel plans tailored to their individual needs. For the implementation of the system, each element of the user, terminal, and server collaborates to function. 【0283】 The user inputs information such as their interests, planned destinations, schedules, language selection, and means of transportation used into the information display terminal. Widely used electronic devices such as smartphones and tablets are utilized as this terminal. 【0284】 The terminal serves to receive the information collected from the user and transmit it to the server. The terminal also displays the travel plans and route guides received from the server to the user. When displaying, Google Maps or similar GPS-based navigation applications are used to provide detailed route guides. 【0285】 The server analyzes the user information received from the terminal and generates a travel plan customized individually using data analysis techniques. For this, a database and external APIs (for example, APIs that provide travel-related information) are used. Based on the information collected, the server creates a plan that incorporates the most suitable tourist attractions, dining facilities, and event information. 【0286】 Furthermore, the server updates the information in real-time based on regional information and adjusts the travel plan as needed. In this process, by providing a multilingual translation service for users who speak different languages, it becomes possible to overcome the language barrier and receive information smoothly. 【0287】 For example, if a user wants to travel with a theme of "nature" or "gourmet food," they can input that information into their device, and the server can generate a travel plan that includes nearby nature parks and highly-rated local restaurants. An example of a prompt would be, "Please suggest a sightseeing plan for a traveler to enjoy nature and gourmet food." By using this in the AI ​​generation model, it is possible to generate an optimal plan that meets the user's needs. 【0288】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0289】 Step 1: 【0290】 Users use an information display terminal to input details such as their travel interests, planned destinations, schedule, language selection, and mode of transportation. The terminal retrieves and stores this information digitally. The entered information reflects the user's travel needs. 【0291】 Step 2: 【0292】 The terminal sends the information entered by the user to the server. During this process, the information is encrypted using a security protocol and transmitted securely. The input includes information about the user's interests, planned locations, and schedules, which the server receives and prepares for analysis. 【0293】 Step 3: 【0294】 The server queries databases and external APIs based on the received data to collect information on tourist attractions, restaurants, and events that match the user's interests. Specifically, it uses statistical algorithms to analyze the data and identify possible options based on that analysis. This process performs data calculations to create a travel plan that best suits the user's needs. 【0295】 Step 4: 【0296】 Based on the collected information, the server uses a generative AI model to generate a personalized travel plan. This process creates an overall plan that includes efficient routes, optimal time allocation, and recommended dining spots. The output is a detailed travel plan, ready for transmission to the user's device. 【0297】 Step 5: 【0298】 The server sends the generated travel plan back to the device. The device receives it and displays it to the user visually. The itinerary includes specific route guidance based on local map information and supports real-time navigation using GPS. 【0299】 Step 6: 【0300】 The server continuously collects real-time information during travel and automatically adjusts the travel plan according to traffic conditions and user behavior. It also searches for new information as needed and incorporates it into the plan. This step involves continuous optimization to ensure an efficient and flexible travel experience. 【0301】 Step 7: 【0302】 The server automatically translates information according to the selected language and provides it to the user. This allows users to easily understand information in different languages. Translated information is presented to the user, eliminating language barriers. 【0303】 (Application Example 1) 【0304】 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." 【0305】 When a traveler visits a tourist destination, in order to enjoy tourism efficiently based on their individual interests and schedules, an individually optimized plan is required from a vast amount of information. However, doing this manually is very time-consuming, and there are also language and cultural barriers. In addition, there is a lack of a mechanism to automatically update information in real time and optimize travel routes. There is a need for a system that solves these problems and enables travelers to smoothly enjoy tourism. 【0306】 The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0307】 In this invention, the server includes means for receiving input information from a traveler and generating an individually customized tourism plan, means for analyzing tourism resources in real time based on the traveler's interests and schedule and providing an individually optimized experience, and means for providing real-time route guidance using GPS by using the traveler's current location information. As a result, travelers can easily manage complex information and enjoy tourism efficiently and smoothly according to their own interests. 【0308】 A "traveler" is a person who leaves their place of residence for the purpose of tourism, business trips, etc. and visits other places. 【0309】 "Input information" is data such as interests, schedules, and planned destinations provided by travelers. 【0310】 A "customized tourism plan" is a proposal for an optimized tourism route and destinations based on the individual interests and schedules of travelers. 【0311】 "Support for multiple languages" is a function of translating information into each language and providing it to travelers who speak different languages. 【0312】 "Means for calculating and guiding in real time" is a function of immediately calculating and providing an optimal travel route based on the current situation and location information. 【0313】 "Tourism resources" refer to places and events that travelers can visit or experience, such as tourist destinations, restaurants, and events. 【0314】 "Real-time route guidance using GPS" is a function that uses a global positioning system to instantly provide travelers with the optimal travel route from their current location to their destination. 【0315】 This invention is a system for providing travelers with individually customized sightseeing plans. The system consists of a terminal used by the traveler and a cloud-based server connected to it. 【0316】 First, the user inputs their interests, planned destinations, and schedule via their device. This information is sent from the device to the server. The server runs a data processing program using Python to analyze this data. AI algorithms such as TensorFlow and PyTorch run on the server, analyzing and selecting tourist resources that match the traveler's interests and schedule in real time. 【0317】 The selected sightseeing plan is generated along with an efficient travel route and delivered to the device. The device is developed using Flutter and presents the plan to the user in a visually appealing and user-friendly format. It also utilizes GPS location information to enable real-time route guidance. The system updates information in real time via Firebase and automatically optimizes the plan in response to changing traffic conditions and event information. 【0318】 The system also features multilingual support; selected information is translated into the chosen language via a cloud-based translation service and displayed on the device. This allows travelers who speak different languages ​​to easily access tourist information. 【0319】 For example, a traveler who wants to enjoy nature sightseeing and local food on a Sunday would enter the keywords "nature" and "local cuisine" into the terminal. The system would then consider the day's schedule and weather conditions to suggest the most suitable tourist destinations and restaurants, and guide users on efficient routes to each location. 【0320】 An example of a prompt message for the generating AI model would be: "Generate a real-time sightseeing plan based on the user's interests and schedule. Include specific sightseeing spots and transportation options, take language support into consideration, and output the results as a notification to the user's smartphone." Using this prompt, the AI ​​model will create and deliver the most suitable sightseeing plan to the user. 【0321】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0322】 Step 1: 【0323】 Users input information such as their interests, planned destinations, and schedules using devices like smartphones or smart glasses. This information is collected as input data on the device. The output at this stage is an individual traveler dataset. 【0324】 Step 2: 【0325】 The terminal sends the entered user data to a server in the cloud. The server executes a program written in Python, structuring and analyzing the user data. The resulting output is user information restructured into an analyzable data format. 【0326】 Step 3: 【0327】 The server runs generative AI models using TensorFlow and PyTorch to process and compute data to select the most suitable tourist resources based on the user's interests and schedule. The input is structured user information, and the output is a temporary dataset of tourist plans. 【0328】 Step 4: 【0329】 Based on the generated sightseeing plan, the server optimizes the travel route. Using the current location and selected sightseeing destinations as input, it calculates the optimal route in real time. The output is the most efficient travel route between destinations. 【0330】 Step 5: 【0331】 The generated sightseeing plans and routes are integrated into a multilingual translation service. This includes a process where the information is translated according to the selected language. As a result, the output becomes travel plan information that can be displayed on the user's device. 【0332】 Step 6: 【0333】 The device displays the translated plan received from the server, providing it visually to the user. The device uses Flutter to present the information in a user-friendly format. The navigation function is activated, performing real-time route guidance using GPS. The output is the delivery of these results to the user. 【0334】 Step 7: 【0335】 During your trip, the server collects information on traffic conditions, weather, and event updates, and recalculates your plan in real time. The resulting output is an updated sightseeing plan tailored to your current situation. 【0336】 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. 【0337】 This invention is configured as a system that combines an emotion engine to optimize the traveler's travel experience. The system provides a customized sightseeing plan based on the traveler's input information, and further utilizes the emotion engine to recognize the traveler's emotions in real time and adjust the plan accordingly. 【0338】 Users first use their device to input their interests, planned destinations, and travel schedule. At this stage, they can also select their preferred language and mode of transportation. 【0339】 Next, the terminal sends the user's input information to the server. The server receives this information, consults its database, and collects and analyzes relevant information about tourist attractions, restaurants, and events. 【0340】 Based on the collected information, the server generates a sightseeing plan that matches the user's interests and schedule. This plan optimally determines the order of places to visit, travel routes, and time allocation, taking user convenience into consideration. 【0341】 The generated plan is sent to the device and displayed to the user. The device also uses GPS to provide navigation information from the user's current location to each destination. This feature allows the user to travel without getting lost. 【0342】 A key feature of this system is that the server utilizes an emotion engine to recognize the user's emotions from their words, actions, and facial expressions. This emotion data is then analyzed to adjust the sightseeing plan to match the user's emotional state. For example, if the emotion engine determines that the user is tired, the plan can be eased, and rest periods increased. 【0343】 Furthermore, the emotion engine also influences the information presented and the translation function. When a user is feeling anxious, the system takes approaches such as providing more detailed information or displaying reassuring messages. 【0344】 For example, if a user shows signs of anxiety during their trip, the device will suggest a more stable mode of transportation and provide enhanced, specific guidance to help them continue their sightseeing. This can increase the traveler's sense of security. 【0345】 Thus, the system of the present invention provides a comfortable and personalized travel experience by understanding the emotions of travelers and responding flexibly accordingly. It also quickly addresses unexpected situations, helping travelers achieve their goals without stress. 【0346】 The following describes the processing flow. 【0347】 Step 1: 【0348】 Users use their devices to input their interests, planned destinations, and travel schedules. They also set their language and mode of transportation, preparing the system to understand their specific needs. 【0349】 Step 2: 【0350】 The terminal sends the entered data to the server. This data includes user interests and schedule information, and the server performs the following actions based on this information. 【0351】 Step 3: 【0352】 The server collects information on tourist attractions, restaurants, and events from travel destination databases and external APIs. The retrieved information is then filtered according to the user's interests. 【0353】 Step 4: 【0354】 The server analyzes the collected information and generates individually customized sightseeing plans. These plans include the order of visits, travel routes, and allocation of time for each location. 【0355】 Step 5: 【0356】 The device receives the generated sightseeing plan and displays it visually to the user. This plan clearly shows the places to visit, modes of transportation, and time allocation. 【0357】 Step 6: 【0358】 The server uses an emotion engine to analyze user emotional data in real time. It recognizes emotions through the user's facial expressions and voice, and considers adjusting the plan based on the results. 【0359】 Step 7: 【0360】 The server analyzes emotional data and modifies the plan as needed. For example, if fatigue is detected, it will add a rest area. 【0361】 Step 8: 【0362】 The device uses GPS functionality to determine the user's current location and provide navigation. It guides the user to the optimal route to their destination in real time. 【0363】 Step 9: 【0364】 The server adjusts multilingual translation results and optional information based on the user's emotions and delivers them to the device. This allows users to receive the necessary information in the most optimal format when they need it. 【0365】 Step 10: 【0366】 If a user reports a problem during their trip, the device sends that information to a server, which quickly provides alternatives and solutions. This helps travelers continue their journey. 【0367】 (Example 2) 【0368】 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". 【0369】 With conventional technology, it has been difficult for travelers to obtain a travel experience optimized according to their interests and emotions. There is a need for real-time optimal route guidance, multilingual information provision, and rapid resolution of problems that arise during travel. Furthermore, there is a desire to provide a more comfortable and personalized experience by flexibly adjusting the itinerary based on the traveler's emotions. 【0370】 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. 【0371】 In this invention, the server includes means for receiving information entered by travelers and generating individually tailored travel plans, means for calculating and guiding travelers to the optimal route between destinations in real time based on the travel plans, and means for analyzing the travelers' emotional state and adjusting the travel plans in real time. This makes it possible to flexibly respond to the diverse needs of travelers and provide a comfortable and personalized travel experience. 【0372】 "Traveler-entered information" refers to information that travelers fill in, such as their interests, planned destinations, travel itinerary, language used, and mode of transportation. 【0373】 A "personally tailored travel plan" is a customized itinerary based on the traveler's input information and interests, with optimized order of destinations, travel routes, and time allocation. 【0374】 An "optimal route" is a travel path calculated to allow travelers to move safely and efficiently between destinations. 【0375】 "Calculating and providing guidance in real time" means providing travelers with the optimal route and instructions immediately, based on current conditions and location information. 【0376】 "Multilingual support" refers to the function of translating information into the language used by travelers and providing the necessary information. 【0377】 "Analyzing emotional states and adjusting travel plans in real time" means analyzing travelers' behavior and biometric information, and dynamically changing the itinerary based on the results. 【0378】 "Providing alternatives" means guiding travelers to other options or solutions when they encounter a problem. 【0379】 This invention is a system designed to optimize the traveler's travel experience. Specifically, it is achieved through the cooperation of the user, terminal, and server. 【0380】 Users enter travel information using their devices. This information includes the traveler's interests, places they want to visit, schedule, preferred language, and preferred mode of transportation. 【0381】 The device transmits information collected from the user to a server via a secure protocol. The device also utilizes GPS functionality to provide guidance based on the user's location. It supports travel by updating information in real time and displaying maps and schedules through the user interface. 【0382】 The server combines received information with data on tourist destinations, restaurants, and events collected from various databases, and analyzes it using an AI model to generate a personalized travel plan. This plan is optimized based on the user's interests, taking into account the order of places to visit, travel routes, and duration. Furthermore, the server utilizes an emotion engine to analyze the user's emotional state and adjust the plan in real time accordingly. The server then transmits this information to the user's device, providing a flexible travel experience. 【0383】 For example, if a user becomes tired during a trip, the emotion engine recognizes this state, and the server updates the plan and suggests taking a break. Furthermore, if the user feels anxious about directions or language barriers, the device provides more detailed directions and translation functions. In this way, personalized services are provided according to the user's state. 【0384】 An example of a prompt that can be input into the generating AI model is a question such as, "If the user gets tired, how should I adjust the travel plan?" Through this prompt, the system can provide more accurate suggestions for travel planning. 【0385】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0386】 Step 1: 【0387】 Users use a device to input travel-related information. Specifically, they enter categories of interest (e.g., history, nature), planned destinations, travel schedule, preferred language, and mode of transportation in text format. This input information is recorded as digital data on the device. 【0388】 Step 2: 【0389】 The terminal sends information obtained from the user to the server. For data protection purposes, the data is encrypted and sent to the server using a dedicated protocol (e.g., HTTPS). The input data here is the user's input information, and the output is the transmission of encrypted data to the server. 【0390】 Step 3: 【0391】 Based on the received information, the server references multiple databases to collect information on tourist destinations, restaurants, and events. The data input is user information, and relevant tourist information is extracted from the databases. This data is then formatted for analysis. 【0392】 Step 4: 【0393】 The server utilizes a generative AI model to generate personalized travel plans tailored to the user's interests and schedule. Specifically, it uses machine learning algorithms to classify interests and determine the optimal order of visits, travel routes, and time allocation. The input is formatted travel information, and the output is an optimized travel plan. 【0394】 Step 5: 【0395】 The server sends the generated sightseeing plan to the terminal. The terminal displays this data to the user using a wide range of user interfaces. The input data is an optimized sightseeing plan, and the output is in a visually verifiable format for the user. The terminal also launches a map application to assist with navigation. 【0396】 Step 6: 【0397】 The server uses an emotion engine to analyze the user's emotional state. This process uses input prompts and the user's biometric data (e.g., heart rate and facial recognition data) to identify the user's emotional state in real time. Based on these analysis results, the sightseeing plan is adjusted. 【0398】 Step 7: 【0399】 The server uses the results of the emotion engine to adjust and update the sightseeing plan as needed. For example, if fatigue is detected, it will suggest rest stops, making rapid plan changes based on the traveler's condition. The input is the result of the emotion analysis, and the output is the adjusted sightseeing plan. 【0400】 Step 8: 【0401】 The device displays the adjusted plan to the user again and provides reassuring messages and additional information based on the updated information. This reduces misunderstandings and anxieties for travelers, allowing them to enjoy their trip smoothly. 【0402】 (Application Example 2) 【0403】 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." 【0404】 In recent years, travelers have been seeking more personalized experiences than simply visiting tourist destinations. However, traditional tour planning systems struggle to adapt in real time to travelers' emotions and changing circumstances, failing to alleviate their stress and anxiety. Furthermore, there is often a lack of sufficient information and translation to bridge cultural and language gaps. As a result, travel experiences tend to be monotonous. 【0405】 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. 【0406】 In this invention, the server includes means for receiving input information from travelers and generating individually customized sightseeing plans, means for detecting the travelers' emotions using sensors and analyzing emotional data, and means for adjusting the sightseeing plan in real time based on the emotional data. This enables flexible and personalized travel planning that responds to the travelers' emotions, as well as reassuring support. 【0407】 "Traveler input information" refers to information that travelers provide to the system, such as their interests, planned destinations, and travel schedule. 【0408】 A "customized sightseeing plan" is a travel plan formulated according to the individual traveler's interests and schedule, with optimized order and route of visits. 【0409】 The "optimal route" is a path calculated considering time efficiency and convenience from the traveler's current location to their destination. 【0410】 "Multilingual support" refers to a function that translates information provided in different languages, making it understandable to users in their preferred language. 【0411】 "Alternatives" are options or additional action plans provided by the system in case problems arise during travel. 【0412】 "Detecting emotions with sensors" refers to technology that identifies travelers' emotional states from their facial expressions, voices, and other cues. 【0413】 "Emotional data" refers to information that represents the emotions of travelers, which is then digitized and used to adjust travel plans. 【0414】 "Real-time adjustment" means instantly changing and optimizing the sightseeing plan according to the traveler's emotions and circumstances. 【0415】 The system for realizing this invention uses specific hardware and software to provide travelers with suitable sightseeing plans and to make real-time adjustments based on the travelers' emotions. It is primarily operated by a server, terminals, and the travelers themselves. 【0416】 The server receives traveler input information and generates individually customized sightseeing plans using a generative AI model. Based on this information, the server performs multilingual translation and provides the information in a language that is easy for the user to understand. 【0417】 The terminal functions as an interface for travelers to input information and communicate with the server. Equipped with sensors such as a camera and microphone, the terminal detects the traveler's emotions. This allows it to receive emotion data from the server and update the plan in real time if the traveler is feeling stressed, providing a more reassuring sightseeing route and detailed information. 【0418】 As a concrete example, when a family traveler uses the system, it can provide the optimal route to tourist attractions and suggest resting in a nearby park if the children get tired. Furthermore, using a prompt example such as, "We'd like a relaxing sightseeing trip today. What kind of spots would be good?", the system will suggest a plan tailored to that request. 【0419】 This system enables flexible and personalized travel experiences to enhance traveler well-being. It also addresses anxieties and problems that may arise during travel, supporting travelers in having a fulfilling experience. 【0420】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0421】 Step 1: 【0422】 Users use a terminal to input their interests, planned destinations, and travel schedule. The entered data is sent from the terminal to a server, forming the basis for customizing the user's desired travel experience. Input is in text format, and output is transmitted to the server. 【0423】 Step 2: 【0424】 The server uses a generative AI model to generate individual sightseeing plans from the received input information. Based on the input data, it consults a database to retrieve relevant spots and event information and calculates the optimal sightseeing route that matches the user's schedule and interests. The generated plan is output as text data and sent to the terminal. 【0425】 Step 3: 【0426】 The device displays the received sightseeing plan to the user. Furthermore, it uses GPS to obtain the user's current location and provides real-time navigation information. The user's location information is used as input, and optimized route information is output. 【0427】 Step 4: 【0428】 The server uses an emotion engine to analyze sensor information (camera images and audio) transmitted from the terminal and recognize the user's emotions. The detected emotion data is used as a basis for adjusting the current plan. The input is sensor data, and the output is the analyzed emotion data. 【0429】 Step 5: 【0430】 If a specific emotional state is detected, such as fatigue, the server uses a generative AI model to readjust the sightseeing plan and send it to the device. The aim is to provide a more reassuring travel experience by relaxing the plan or adding new suggestions. The input is emotional data, and the output is the adjusted sightseeing plan. 【0431】 In this way, users can enjoy a personalized, emotionally resonant, and flexible travel experience. 【0432】 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. 【0433】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0434】 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. 【0435】 [Third Embodiment] 【0436】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0437】 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. 【0438】 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). 【0439】 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. 【0440】 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. 【0441】 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). 【0442】 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. 【0443】 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. 【0444】 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. 【0445】 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. 【0446】 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. 【0447】 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". 【0448】 This invention is configured as an integrated system to assist travelers. To ensure travelers can enjoy sightseeing smoothly, this system functions as follows: 【0449】 Users first input information such as their interests, planned destinations, and schedule into the terminal. This allows the system to collect data to provide the user with the most suitable travel experience. Then, users can specify their individual travel needs by selecting details such as their preferred language and mode of transportation. 【0450】 Next, the server receives this user data and collects information on relevant tourist spots, restaurants, events, etc., by referring to databases and external APIs. In this information collection process, statistical information and review ratings are taken into consideration according to the user's unique interests, and the most appropriate destinations are selected. 【0451】 Based on the collected information, the server generates a personalized sightseeing plan. This plan meticulously outlines the order of visits and time allocations to enable efficient travel. Furthermore, restaurants tailored to the user's preferences are suggested for meal times. 【0452】 Once the plan is complete, the device displays it to the user and provides detailed route guidance from the starting point to each destination. The navigation function is GPS-based and helps users reach their destinations without getting lost. 【0453】 Furthermore, information is updated in real time, and plans are automatically adjusted according to traffic conditions and schedule changes. The server also provides tourist information, restaurant menus, and other content in the user's chosen language through a multilingual translation service, thus eliminating language barriers. 【0454】 For example, if a user is interested in nature and gourmet food, they can input that information into their device, and the server will create a plan to visit nearby nature parks and highly-rated local restaurants. Throughout this process, even users who speak different languages ​​will be presented with information in their respective languages, allowing them to enjoy sightseeing without difficulty. 【0455】 In this way, the present invention realizes a system that allows travelers to overcome language and cultural differences with peace of mind and enjoy a comfortable and fulfilling sightseeing experience. 【0456】 The following describes the processing flow. 【0457】 Step 1: 【0458】 The user uses their device to input their interests, planned destinations, schedule, preferred language, and mode of transportation. Based on this information, a personalized travel plan is created for the user. 【0459】 Step 2: 【0460】 The device sends the entered information to the server. This includes information about the user's interests, travel schedule, language settings, etc. 【0461】 Step 3: 【0462】 The server analyzes the received information, accesses databases of tourist spots and restaurants, and collects relevant information. Location information and user ratings are also considered during this selection process. 【0463】 Step 4: 【0464】 Based on data collected by the server, a travel plan is generated that matches the user's interests and schedule. This plan includes the order of places to visit, travel routes, and allocation of time for each location. 【0465】 Step 5: 【0466】 The terminal displays a sightseeing plan received from the server to the user. The plan includes details such as destinations, estimated arrival times, and transportation methods. 【0467】 Step 6: 【0468】 The server checks traffic information and schedule changes in real time and updates the plan as needed. This allows you to travel efficiently while taking the latest information into consideration. 【0469】 Step 7: 【0470】 The device provides GPS-based navigation, guiding the user to their destination. The directions are updated in real time, supporting travel without getting lost. 【0471】 Step 8: 【0472】 The server uses its multilingual capabilities to translate tourist information and menus into the language specified by the user and send them to the device. This enables smooth communication that transcends language barriers. 【0473】 Step 9: 【0474】 If a user encounters any problems during their trip, they can request support from their device, and the server will respond quickly and provide alternative solutions. This allows for immediate response to unforeseen circumstances during travel. 【0475】 (Example 1) 【0476】 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." 【0477】 In recent years, in order to meet increasingly diverse travel needs, there has been a demand to provide travelers with travel plans that match their individual interests and conditions. Existing systems struggle to efficiently generate plans that meet these requests and to respond in real time, and language barriers often limit information access. As a result, travelers are unable to enjoy their trips without stress. 【0478】 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. 【0479】 This invention includes a server that receives input information from travelers and generates individually customized travel plans using data analysis techniques, calculates the optimal route from the departure point to the destination and provides real-time guidance considering local information, and provides a multilingual translation service through an information display terminal to overcome language barriers. As a result, travelers can obtain an optimal travel plan tailored to their individual needs in real time, enabling them to enjoy a comfortable and efficient trip while overcoming language barriers during their travels. 【0480】 A "traveler" refers to an individual who intends to visit different geographical locations with a specific purpose. 【0481】 "Input information" refers to information that travelers provide through their devices, such as their interests in the destination, schedule, and language selection. 【0482】 "Data analysis methods" refer to a series of processes that use statistical methods and algorithms to derive the optimal solution based on collected information. 【0483】 A "travel plan" refers to a detailed plan that specifically outlines the order in which to visit tourist destinations, the time allocation, and the means of transportation, tailored to the individual needs of the traveler. 【0484】 "Route" refers to the path a traveler takes to reach their destination, and may include the means of transportation and geographical location information. 【0485】 "Real-time guidance" refers to providing immediate support based on the current situation to help travelers reach their destination smoothly. 【0486】 "Multilingual support" refers to providing automatically translated information to users who speak different languages. 【0487】 A "translation service" refers to a function that converts information provided in one language into another language and provides it to the user. 【0488】 An "information display terminal" refers to an electronic device used by travelers to input information and receive travel plans and guidance. 【0489】 This invention provides a system that allows travelers to comfortably enjoy travel plans tailored to their individual needs. For the system to function, the user, terminal, and server elements work together. 【0490】 Users input information such as their interests, planned destinations, schedules, language selections, and modes of transportation into an information display terminal. This terminal utilizes widely used electronic devices such as smartphones and tablets. 【0491】 The terminal receives information collected from the user and transmits it to the server. The terminal also displays travel plans and route guidance received from the server to the user. For display, it uses Google Maps or similar GPS-based navigation applications to provide detailed route guidance. 【0492】 The server analyzes user information received from the terminal and generates individually customized travel plans using data analysis techniques. This involves using databases and external APIs (for example, APIs that provide travel-related information). Based on the collected information, the server creates a plan that incorporates the most suitable tourist destinations, restaurants, and event information. 【0493】 Furthermore, the server updates information in real time based on local data and adjusts travel plans as needed. In this process, a multilingual translation service is provided to users who speak different languages, enabling them to overcome language barriers and receive information smoothly. 【0494】 For example, if a user wants to travel with a theme of "nature" or "gourmet food," they can input that information into their device, and the server can generate a travel plan that includes nearby nature parks and highly-rated local restaurants. An example of a prompt would be, "Please suggest a sightseeing plan for a traveler to enjoy nature and gourmet food." By using this in the AI ​​generation model, it is possible to generate an optimal plan that meets the user's needs. 【0495】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0496】 Step 1: 【0497】 Users use an information display terminal to input details such as their travel interests, planned destinations, schedule, language selection, and mode of transportation. The terminal retrieves and stores this information digitally. The entered information reflects the user's travel needs. 【0498】 Step 2: 【0499】 The terminal sends the information entered by the user to the server. During this process, the information is encrypted using a security protocol and transmitted securely. The input includes information about the user's interests, planned locations, and schedules, which the server receives and prepares for analysis. 【0500】 Step 3: 【0501】 The server queries databases and external APIs based on the received data to collect information on tourist attractions, restaurants, and events that match the user's interests. Specifically, it uses statistical algorithms to analyze the data and identify possible options based on that analysis. This process performs data calculations to create a travel plan that best suits the user's needs. 【0502】 Step 4: 【0503】 Based on the collected information, the server uses a generative AI model to generate a personalized travel plan. This process creates an overall plan that includes efficient routes, optimal time allocation, and recommended dining spots. The output is a detailed travel plan, ready for transmission to the user's device. 【0504】 Step 5: 【0505】 The server sends the generated travel plan back to the device. The device receives it and displays it to the user visually. The itinerary includes specific route guidance based on local map information and supports real-time navigation using GPS. 【0506】 Step 6: 【0507】 The server continuously collects real-time information during travel and automatically adjusts the travel plan according to traffic conditions and user behavior. It also searches for new information as needed and incorporates it into the plan. This step involves continuous optimization to ensure an efficient and flexible travel experience. 【0508】 Step 7: 【0509】 The server automatically translates information according to the selected language and provides it to the user. This allows users to easily understand information in different languages. Translated information is presented to the user, eliminating language barriers. 【0510】 (Application Example 1) 【0511】 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." 【0512】 When travelers visit tourist destinations, they need individually optimized plans from a vast amount of information to efficiently enjoy sightseeing based on their individual interests and schedules. However, doing this manually is extremely time-consuming, and language and cultural barriers also exist. Furthermore, there is a lack of systems that automatically update information in real time and optimize travel routes. A system that solves these problems and enables travelers to enjoy sightseeing smoothly is needed. 【0513】 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. 【0514】 In this invention, the server includes means for receiving traveler input information and generating individually customized sightseeing plans, means for analyzing sightseeing resources in real time based on the traveler's interests and schedule and providing an individually optimized experience, and means for providing real-time route guidance using GPS with the traveler's current location information. This enables travelers to easily manage complex information and efficiently and smoothly enjoy sightseeing that suits their interests. 【0515】 A "traveler" is someone who leaves their place of residence to visit another place for purposes such as sightseeing or business trips. 【0516】 "Input information" refers to data provided by travelers, such as their interests, itinerary, and planned destinations. 【0517】 A "customized sightseeing plan" is a suggestion of sightseeing routes and destinations optimized based on the traveler's individual interests and schedule. 【0518】 "Multilingual support" refers to the function of translating and providing information to travelers who speak different languages. 【0519】 "A means of calculating and guiding in real time" refers to a function that instantly calculates and provides the optimal travel route based on the current situation and location information. 【0520】 "Tourism resources" refer to places and events that travelers can visit or experience, such as tourist destinations, restaurants, and events. 【0521】 "Real-time route guidance using GPS" is a function that uses a global positioning system to instantly provide travelers with the optimal travel route from their current location to their destination. 【0522】 This invention is a system for providing travelers with individually customized sightseeing plans. The system consists of a terminal used by the traveler and a cloud-based server connected to it. 【0523】 First, the user inputs their interests, planned destinations, and schedule via their device. This information is sent from the device to the server. The server runs a data processing program using Python to analyze this data. AI algorithms such as TensorFlow and PyTorch run on the server, analyzing and selecting tourist resources that match the traveler's interests and schedule in real time. 【0524】 The selected sightseeing plan is generated along with an efficient travel route and delivered to the device. The device is developed using Flutter and presents the plan to the user in a visually appealing and user-friendly format. It also utilizes GPS location information to enable real-time route guidance. The system updates information in real time via Firebase and automatically optimizes the plan in response to changing traffic conditions and event information. 【0525】 The system also features multilingual support; selected information is translated into the chosen language via a cloud-based translation service and displayed on the device. This allows travelers who speak different languages ​​to easily access tourist information. 【0526】 For example, a traveler who wants to enjoy nature sightseeing and local food on a Sunday would enter the keywords "nature" and "local cuisine" into the terminal. The system would then consider the day's schedule and weather conditions to suggest the most suitable tourist destinations and restaurants, and guide users on efficient routes to each location. 【0527】 An example of a prompt message for the generating AI model would be: "Generate a real-time sightseeing plan based on the user's interests and schedule. Include specific sightseeing spots and transportation options, take language support into consideration, and output the results as a notification to the user's smartphone." Using this prompt, the AI ​​model will create and deliver the most suitable sightseeing plan to the user. 【0528】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0529】 Step 1: 【0530】 Users input information such as their interests, planned destinations, and schedules using devices like smartphones or smart glasses. This information is collected as input data on the device. The output at this stage is an individual traveler dataset. 【0531】 Step 2: 【0532】 The terminal sends the entered user data to a server in the cloud. The server executes a program written in Python, structuring and analyzing the user data. The resulting output is user information restructured into an analyzable data format. 【0533】 Step 3: 【0534】 The server runs generative AI models using TensorFlow and PyTorch to process and compute data to select the most suitable tourist resources based on the user's interests and schedule. The input is structured user information, and the output is a temporary dataset of tourist plans. 【0535】 Step 4: 【0536】 Based on the generated sightseeing plan, the server optimizes the travel route. Using the current location and selected sightseeing destinations as input, it calculates the optimal route in real time. The output is the most efficient travel route between destinations. 【0537】 Step 5: 【0538】 The generated sightseeing plans and routes are integrated into a multilingual translation service. This includes a process where the information is translated according to the selected language. As a result, the output becomes travel plan information that can be displayed on the user's device. 【0539】 Step 6: 【0540】 The device displays the translated plan received from the server, providing it visually to the user. The device uses Flutter to present the information in a user-friendly format. The navigation function is activated, performing real-time route guidance using GPS. The output is the delivery of these results to the user. 【0541】 Step 7: 【0542】 During your trip, the server collects information on traffic conditions, weather, and event updates, and recalculates your plan in real time. The resulting output is an updated sightseeing plan tailored to your current situation. 【0543】 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. 【0544】 This invention is configured as a system that combines an emotion engine to optimize the traveler's travel experience. The system provides a customized sightseeing plan based on the traveler's input information, and further utilizes the emotion engine to recognize the traveler's emotions in real time and adjust the plan accordingly. 【0545】 Users first use their device to input their interests, planned destinations, and travel schedule. At this stage, they can also select their preferred language and mode of transportation. 【0546】 Next, the terminal sends the user's input information to the server. The server receives this information, consults its database, and collects and analyzes relevant information about tourist attractions, restaurants, and events. 【0547】 Based on the collected information, the server generates a sightseeing plan that matches the user's interests and schedule. This plan optimally determines the order of places to visit, travel routes, and time allocation, taking user convenience into consideration. 【0548】 The generated plan is sent to the device and displayed to the user. The device also uses GPS to provide navigation information from the user's current location to each destination. This feature allows the user to travel without getting lost. 【0549】 A key feature of this system is that the server utilizes an emotion engine to recognize the user's emotions from their words, actions, and facial expressions. This emotion data is then analyzed to adjust the sightseeing plan to match the user's emotional state. For example, if the emotion engine determines that the user is tired, the plan can be eased, and rest periods increased. 【0550】 Furthermore, the emotion engine also influences the information presented and the translation function. When a user is feeling anxious, the system takes approaches such as providing more detailed information or displaying reassuring messages. 【0551】 For example, if a user shows signs of anxiety during their trip, the device will suggest a more stable mode of transportation and provide enhanced, specific guidance to help them continue their sightseeing. This can increase the traveler's sense of security. 【0552】 Thus, the system of the present invention provides a comfortable and personalized travel experience by understanding the emotions of travelers and responding flexibly accordingly. It also quickly addresses unexpected situations, helping travelers achieve their goals without stress. 【0553】 The following describes the processing flow. 【0554】 Step 1: 【0555】 Users use their devices to input their interests, planned destinations, and travel schedules. They also set their language and mode of transportation, preparing the system to understand their specific needs. 【0556】 Step 2: 【0557】 The terminal sends the entered data to the server. This data includes user interests and schedule information, and the server performs the following actions based on this information. 【0558】 Step 3: 【0559】 The server collects information on tourist attractions, restaurants, and events from travel destination databases and external APIs. The retrieved information is then filtered according to the user's interests. 【0560】 Step 4: 【0561】 The server analyzes the collected information and generates individually customized sightseeing plans. These plans include the order of visits, travel routes, and allocation of time for each location. 【0562】 Step 5: 【0563】 The device receives the generated sightseeing plan and displays it visually to the user. This plan clearly shows the places to visit, modes of transportation, and time allocation. 【0564】 Step 6: 【0565】 The server uses an emotion engine to analyze user emotional data in real time. It recognizes emotions through the user's facial expressions and voice, and considers adjusting the plan based on the results. 【0566】 Step 7: 【0567】 The server analyzes emotional data and modifies the plan as needed. For example, if fatigue is detected, it will add a rest area. 【0568】 Step 8: 【0569】 The device uses GPS functionality to determine the user's current location and provide navigation. It guides the user to the optimal route to their destination in real time. 【0570】 Step 9: 【0571】 The server adjusts multilingual translation results and optional information based on the user's emotions and delivers them to the device. This allows users to receive the necessary information in the most optimal format when they need it. 【0572】 Step 10: 【0573】 If a user reports a problem during their trip, the device sends that information to a server, which quickly provides alternatives and solutions. This helps travelers continue their journey. 【0574】 (Example 2) 【0575】 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." 【0576】 With conventional technology, it has been difficult for travelers to obtain a travel experience optimized according to their interests and emotions. There is a need for real-time optimal route guidance, multilingual information provision, and rapid resolution of problems that arise during travel. Furthermore, there is a desire to provide a more comfortable and personalized experience by flexibly adjusting the itinerary based on the traveler's emotions. 【0577】 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. 【0578】 In this invention, the server includes means for receiving information entered by travelers and generating individually tailored travel plans, means for calculating and guiding travelers to the optimal route between destinations in real time based on the travel plans, and means for analyzing the travelers' emotional state and adjusting the travel plans in real time. This makes it possible to flexibly respond to the diverse needs of travelers and provide a comfortable and personalized travel experience. 【0579】 "Traveler-entered information" refers to information that travelers fill in, such as their interests, planned destinations, travel itinerary, language used, and mode of transportation. 【0580】 A "personally tailored travel plan" is a customized itinerary based on the traveler's input information and interests, with optimized order of destinations, travel routes, and time allocation. 【0581】 An "optimal route" is a travel path calculated to allow travelers to move safely and efficiently between destinations. 【0582】 "Calculating and providing guidance in real time" means providing travelers with the optimal route and instructions immediately, based on current conditions and location information. 【0583】 "Multilingual support" refers to the function of translating information into the language used by travelers and providing the necessary information. 【0584】 "Analyzing emotional states and adjusting travel plans in real time" means analyzing travelers' behavior and biometric information, and dynamically changing the itinerary based on the results. 【0585】 "Providing alternatives" means guiding travelers to other options or solutions when they encounter a problem. 【0586】 This invention is a system designed to optimize the traveler's travel experience. Specifically, it is achieved through the cooperation of the user, terminal, and server. 【0587】 Users enter travel information using their devices. This information includes the traveler's interests, places they want to visit, schedule, preferred language, and preferred mode of transportation. 【0588】 The device transmits information collected from the user to a server via a secure protocol. The device also utilizes GPS functionality to provide guidance based on the user's location. It supports travel by updating information in real time and displaying maps and schedules through the user interface. 【0589】 The server combines received information with data on tourist destinations, restaurants, and events collected from various databases, and analyzes it using an AI model to generate a personalized travel plan. This plan is optimized based on the user's interests, taking into account the order of places to visit, travel routes, and duration. Furthermore, the server utilizes an emotion engine to analyze the user's emotional state and adjust the plan in real time accordingly. The server then transmits this information to the user's device, providing a flexible travel experience. 【0590】 For example, if a user becomes tired during a trip, the emotion engine recognizes this state, and the server updates the plan and suggests taking a break. Furthermore, if the user feels anxious about directions or language barriers, the device provides more detailed directions and translation functions. In this way, personalized services are provided according to the user's state. 【0591】 An example of a prompt that can be input into the generating AI model is a question such as, "If the user gets tired, how should I adjust the travel plan?" Through this prompt, the system can provide more accurate suggestions for travel planning. 【0592】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0593】 Step 1: 【0594】 Users use a device to input travel-related information. Specifically, they enter categories of interest (e.g., history, nature), planned destinations, travel schedule, preferred language, and mode of transportation in text format. This input information is recorded as digital data on the device. 【0595】 Step 2: 【0596】 The terminal sends information obtained from the user to the server. For data protection purposes, the data is encrypted and sent to the server using a dedicated protocol (e.g., HTTPS). The input data here is the user's input information, and the output is the transmission of encrypted data to the server. 【0597】 Step 3: 【0598】 Based on the received information, the server references multiple databases to collect information on tourist destinations, restaurants, and events. The data input is user information, and relevant tourist information is extracted from the databases. This data is then formatted for analysis. 【0599】 Step 4: 【0600】 The server utilizes a generative AI model to generate personalized travel plans tailored to the user's interests and schedule. Specifically, it uses machine learning algorithms to classify interests and determine the optimal order of visits, travel routes, and time allocation. The input is formatted travel information, and the output is an optimized travel plan. 【0601】 Step 5: 【0602】 The server sends the generated sightseeing plan to the terminal. The terminal displays this data to the user using a wide range of user interfaces. The input data is an optimized sightseeing plan, and the output is in a visually verifiable format for the user. The terminal also launches a map application to assist with navigation. 【0603】 Step 6: 【0604】 The server uses an emotion engine to analyze the user's emotional state. This process uses input prompts and the user's biometric data (e.g., heart rate and facial recognition data) to identify the user's emotional state in real time. Based on these analysis results, the sightseeing plan is adjusted. 【0605】 Step 7: 【0606】 The server uses the results of the emotion engine to adjust and update the sightseeing plan as needed. For example, if fatigue is detected, it will suggest rest stops, making rapid plan changes based on the traveler's condition. The input is the result of the emotion analysis, and the output is the adjusted sightseeing plan. 【0607】 Step 8: 【0608】 The device displays the adjusted plan to the user again and provides reassuring messages and additional information based on the updated information. This reduces misunderstandings and anxieties for travelers, allowing them to enjoy their trip smoothly. 【0609】 (Application Example 2) 【0610】 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." 【0611】 In recent years, travelers have been seeking more personalized experiences than simply visiting tourist destinations. However, traditional tour planning systems struggle to adapt in real time to travelers' emotions and changing circumstances, failing to alleviate their stress and anxiety. Furthermore, there is often a lack of sufficient information and translation to bridge cultural and language gaps. As a result, travel experiences tend to be monotonous. 【0612】 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. 【0613】 In this invention, the server includes means for receiving input information from travelers and generating individually customized sightseeing plans, means for detecting the travelers' emotions using sensors and analyzing emotional data, and means for adjusting the sightseeing plan in real time based on the emotional data. This enables flexible and personalized travel planning that responds to the travelers' emotions, as well as reassuring support. 【0614】 "Traveler input information" refers to information that travelers provide to the system, such as their interests, planned destinations, and travel schedule. 【0615】 A "customized sightseeing plan" is a travel plan formulated according to the individual traveler's interests and schedule, with optimized order and route of visits. 【0616】 The "optimal route" is a path calculated considering time efficiency and convenience from the traveler's current location to their destination. 【0617】 "Multilingual support" refers to a function that translates information provided in different languages, making it understandable to users in their preferred language. 【0618】 "Alternatives" are options or additional action plans provided by the system in case problems arise during travel. 【0619】 "Detecting emotions with sensors" refers to technology that identifies travelers' emotional states from their facial expressions, voices, and other cues. 【0620】 "Emotional data" refers to information that represents the emotions of travelers, which is then digitized and used to adjust travel plans. 【0621】 "Real-time adjustment" means instantly changing and optimizing the sightseeing plan according to the traveler's emotions and circumstances. 【0622】 The system for realizing this invention uses specific hardware and software to provide travelers with suitable sightseeing plans and to make real-time adjustments based on the travelers' emotions. It is primarily operated by a server, terminals, and the travelers themselves. 【0623】 The server receives traveler input information and generates individually customized sightseeing plans using a generative AI model. Based on this information, the server performs multilingual translation and provides the information in a language that is easy for the user to understand. 【0624】 The terminal functions as an interface for travelers to input information and communicate with the server. Equipped with sensors such as a camera and microphone, the terminal detects the traveler's emotions. This allows it to receive emotion data from the server and update the plan in real time if the traveler is feeling stressed, providing a more reassuring sightseeing route and detailed information. 【0625】 As a concrete example, when a family traveler uses the system, it can provide the optimal route to tourist attractions and suggest resting in a nearby park if the children get tired. Furthermore, using a prompt example such as, "We'd like a relaxing sightseeing trip today. What kind of spots would be good?", the system will suggest a plan tailored to that request. 【0626】 This system enables flexible and personalized travel experiences to enhance traveler well-being. It also addresses anxieties and problems that may arise during travel, supporting travelers in having a fulfilling experience. 【0627】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0628】 Step 1: 【0629】 Users use a terminal to input their interests, planned destinations, and travel schedule. The entered data is sent from the terminal to a server, forming the basis for customizing the user's desired travel experience. Input is in text format, and output is transmitted to the server. 【0630】 Step 2: 【0631】 The server uses a generative AI model to generate individual sightseeing plans from the received input information. Based on the input data, it consults a database to retrieve relevant spots and event information and calculates the optimal sightseeing route that matches the user's schedule and interests. The generated plan is output as text data and sent to the terminal. 【0632】 Step 3: 【0633】 The device displays the received sightseeing plan to the user. Furthermore, it uses GPS to obtain the user's current location and provides real-time navigation information. The user's location information is used as input, and optimized route information is output. 【0634】 Step 4: 【0635】 The server uses an emotion engine to analyze sensor information (camera images and audio) transmitted from the terminal and recognize the user's emotions. The detected emotion data is used as a basis for adjusting the current plan. The input is sensor data, and the output is the analyzed emotion data. 【0636】 Step 5: 【0637】 If a specific emotional state is detected, such as fatigue, the server uses a generative AI model to readjust the sightseeing plan and send it to the device. The aim is to provide a more reassuring travel experience by relaxing the plan or adding new suggestions. The input is emotional data, and the output is the adjusted sightseeing plan. 【0638】 In this way, users can enjoy a personalized, emotionally resonant, and flexible travel experience. 【0639】 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. 【0640】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0641】 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. 【0642】 [Fourth Embodiment] 【0643】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0644】 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. 【0645】 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). 【0646】 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. 【0647】 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. 【0648】 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). 【0649】 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. 【0650】 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. 【0651】 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. 【0652】 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. 【0653】 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. 【0654】 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. 【0655】 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". 【0656】 This invention is configured as an integrated system to assist travelers. To ensure travelers can enjoy sightseeing smoothly, this system functions as follows: 【0657】 Users first input information such as their interests, planned destinations, and schedule into the terminal. This allows the system to collect data to provide the user with the most suitable travel experience. Then, users can specify their individual travel needs by selecting details such as their preferred language and mode of transportation. 【0658】 Next, the server receives this user data and collects information on relevant tourist spots, restaurants, events, etc., by referring to databases and external APIs. In this information collection process, statistical information and review ratings are taken into consideration according to the user's unique interests, and the most appropriate destinations are selected. 【0659】 Based on the collected information, the server generates a personalized sightseeing plan. This plan meticulously outlines the order of visits and time allocations to enable efficient travel. Furthermore, restaurants tailored to the user's preferences are suggested for meal times. 【0660】 Once the plan is complete, the device displays it to the user and provides detailed route guidance from the starting point to each destination. The navigation function is GPS-based and helps users reach their destinations without getting lost. 【0661】 Furthermore, information is updated in real time, and plans are automatically adjusted according to traffic conditions and schedule changes. The server also provides tourist information, restaurant menus, and other content in the user's chosen language through a multilingual translation service, thus eliminating language barriers. 【0662】 For example, if a user is interested in nature and gourmet food, they can input that information into their device, and the server will create a plan to visit nearby nature parks and highly-rated local restaurants. Throughout this process, even users who speak different languages ​​will be presented with information in their respective languages, allowing them to enjoy sightseeing without difficulty. 【0663】 In this way, the present invention realizes a system that allows travelers to overcome language and cultural differences with peace of mind and enjoy a comfortable and fulfilling sightseeing experience. 【0664】 The following describes the processing flow. 【0665】 Step 1: 【0666】 The user uses their device to input their interests, planned destinations, schedule, preferred language, and mode of transportation. Based on this information, a personalized travel plan is created for the user. 【0667】 Step 2: 【0668】 The device sends the entered information to the server. This includes information about the user's interests, travel schedule, language settings, etc. 【0669】 Step 3: 【0670】 The server analyzes the received information, accesses databases of tourist spots and restaurants, and collects relevant information. Location information and user ratings are also considered during this selection process. 【0671】 Step 4: 【0672】 Based on data collected by the server, a travel plan is generated that matches the user's interests and schedule. This plan includes the order of places to visit, travel routes, and allocation of time for each location. 【0673】 Step 5: 【0674】 The terminal displays a sightseeing plan received from the server to the user. The plan includes details such as destinations, estimated arrival times, and transportation methods. 【0675】 Step 6: 【0676】 The server checks traffic information and schedule changes in real time and updates the plan as needed. This allows you to travel efficiently while taking the latest information into consideration. 【0677】 Step 7: 【0678】 The device provides GPS-based navigation, guiding the user to their destination. The directions are updated in real time, supporting travel without getting lost. 【0679】 Step 8: 【0680】 The server uses its multilingual capabilities to translate tourist information and menus into the language specified by the user and send them to the device. This enables smooth communication that transcends language barriers. 【0681】 Step 9: 【0682】 If a user encounters any problems during their trip, they can request support from their device, and the server will respond quickly and provide alternative solutions. This allows for immediate response to unforeseen circumstances during travel. 【0683】 (Example 1) 【0684】 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". 【0685】 In recent years, in order to meet increasingly diverse travel needs, there has been a demand to provide travelers with travel plans that match their individual interests and conditions. Existing systems struggle to efficiently generate plans that meet these requests and to respond in real time, and language barriers often limit information access. As a result, travelers are unable to enjoy their trips without stress. 【0686】 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. 【0687】 This invention includes a server that receives input information from travelers and generates individually customized travel plans using data analysis techniques, calculates the optimal route from the departure point to the destination and provides real-time guidance considering local information, and provides a multilingual translation service through an information display terminal to overcome language barriers. As a result, travelers can obtain an optimal travel plan tailored to their individual needs in real time, enabling them to enjoy a comfortable and efficient trip while overcoming language barriers during their travels. 【0688】 A "traveler" refers to an individual who intends to visit different geographical locations with a specific purpose. 【0689】 "Input information" refers to information that travelers provide through their devices, such as their interests in the destination, schedule, and language selection. 【0690】 "Data analysis methods" refer to a series of processes that use statistical methods and algorithms to derive the optimal solution based on collected information. 【0691】 A "travel plan" refers to a detailed plan that specifically outlines the order in which to visit tourist destinations, the time allocation, and the means of transportation, tailored to the individual needs of the traveler. 【0692】 "Route" refers to the path a traveler takes to reach their destination, and may include the means of transportation and geographical location information. 【0693】 "Real-time guidance" refers to providing immediate support based on the current situation to help travelers reach their destination smoothly. 【0694】 "Multilingual support" refers to providing automatically translated information to users who speak different languages. 【0695】 A "translation service" refers to a function that converts information provided in one language into another language and provides it to the user. 【0696】 An "information display terminal" refers to an electronic device used by travelers to input information and receive travel plans and guidance. 【0697】 This invention provides a system that allows travelers to comfortably enjoy travel plans tailored to their individual needs. For the system to function, the user, terminal, and server elements work together. 【0698】 Users input information such as their interests, planned destinations, schedules, language selections, and modes of transportation into an information display terminal. This terminal utilizes widely used electronic devices such as smartphones and tablets. 【0699】 The terminal receives information collected from the user and transmits it to the server. The terminal also displays travel plans and route guidance received from the server to the user. For display, it uses Google Maps or similar GPS-based navigation applications to provide detailed route guidance. 【0700】 The server analyzes user information received from the terminal and generates individually customized travel plans using data analysis techniques. This involves using databases and external APIs (for example, APIs that provide travel-related information). Based on the collected information, the server creates a plan that incorporates the most suitable tourist destinations, restaurants, and event information. 【0701】 Furthermore, the server updates information in real time based on local data and adjusts travel plans as needed. In this process, a multilingual translation service is provided to users who speak different languages, enabling them to overcome language barriers and receive information smoothly. 【0702】 For example, if a user wants to travel with a theme of "nature" or "gourmet food," they can input that information into their device, and the server can generate a travel plan that includes nearby nature parks and highly-rated local restaurants. An example of a prompt would be, "Please suggest a sightseeing plan for a traveler to enjoy nature and gourmet food." By using this in the AI ​​generation model, it is possible to generate an optimal plan that meets the user's needs. 【0703】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0704】 Step 1: 【0705】 Users use an information display terminal to input details such as their travel interests, planned destinations, schedule, language selection, and mode of transportation. The terminal retrieves and stores this information digitally. The entered information reflects the user's travel needs. 【0706】 Step 2: 【0707】 The terminal sends the information entered by the user to the server. During this process, the information is encrypted using a security protocol and transmitted securely. The input includes information about the user's interests, planned locations, and schedules, which the server receives and prepares for analysis. 【0708】 Step 3: 【0709】 The server queries databases and external APIs based on the received data to collect information on tourist attractions, restaurants, and events that match the user's interests. Specifically, it uses statistical algorithms to analyze the data and identify possible options based on that analysis. This process performs data calculations to create a travel plan that best suits the user's needs. 【0710】 Step 4: 【0711】 Based on the collected information, the server uses a generative AI model to generate a personalized travel plan. This process creates an overall plan that includes efficient routes, optimal time allocation, and recommended dining spots. The output is a detailed travel plan, ready for transmission to the user's device. 【0712】 Step 5: 【0713】 The server sends the generated travel plan back to the device. The device receives it and displays it to the user visually. The itinerary includes specific route guidance based on local map information and supports real-time navigation using GPS. 【0714】 Step 6: 【0715】 The server continuously collects real-time information during travel and automatically adjusts the travel plan according to traffic conditions and user behavior. It also searches for new information as needed and incorporates it into the plan. This step involves continuous optimization to ensure an efficient and flexible travel experience. 【0716】 Step 7: 【0717】 The server automatically translates information according to the selected language and provides it to the user. This allows users to easily understand information in different languages. Translated information is presented to the user, eliminating language barriers. 【0718】 (Application Example 1) 【0719】 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". 【0720】 When travelers visit tourist destinations, they need individually optimized plans from a vast amount of information to efficiently enjoy sightseeing based on their individual interests and schedules. However, doing this manually is extremely time-consuming, and language and cultural barriers also exist. Furthermore, there is a lack of systems that automatically update information in real time and optimize travel routes. A system that solves these problems and enables travelers to enjoy sightseeing smoothly is needed. 【0721】 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. 【0722】 In this invention, the server includes means for receiving traveler input information and generating individually customized sightseeing plans, means for analyzing sightseeing resources in real time based on the traveler's interests and schedule and providing an individually optimized experience, and means for providing real-time route guidance using GPS with the traveler's current location information. This enables travelers to easily manage complex information and efficiently and smoothly enjoy sightseeing that suits their interests. 【0723】 A "traveler" is someone who leaves their place of residence to visit another place for purposes such as sightseeing or business trips. 【0724】 "Input information" refers to data provided by travelers, such as their interests, itinerary, and planned destinations. 【0725】 A "customized sightseeing plan" is a suggestion of sightseeing routes and destinations optimized based on the traveler's individual interests and schedule. 【0726】 "Multilingual support" refers to the function of translating and providing information to travelers who speak different languages. 【0727】 "A means of calculating and guiding in real time" refers to a function that instantly calculates and provides the optimal travel route based on the current situation and location information. 【0728】 "Tourism resources" refer to places and events that travelers can visit or experience, such as tourist destinations, restaurants, and events. 【0729】 "Real-time route guidance using GPS" is a function that uses a global positioning system to instantly provide travelers with the optimal travel route from their current location to their destination. 【0730】 This invention is a system for providing travelers with individually customized sightseeing plans. The system consists of a terminal used by the traveler and a cloud-based server connected to it. 【0731】 First, the user inputs their interests, planned destinations, and schedule via their device. This information is sent from the device to the server. The server runs a data processing program using Python to analyze this data. AI algorithms such as TensorFlow and PyTorch run on the server, analyzing and selecting tourist resources that match the traveler's interests and schedule in real time. 【0732】 The selected sightseeing plan is generated along with an efficient travel route and delivered to the device. The device is developed using Flutter and presents the plan to the user in a visually appealing and user-friendly format. It also utilizes GPS location information to enable real-time route guidance. The system updates information in real time via Firebase and automatically optimizes the plan in response to changing traffic conditions and event information. 【0733】 The system also features multilingual support; selected information is translated into the chosen language via a cloud-based translation service and displayed on the device. This allows travelers who speak different languages ​​to easily access tourist information. 【0734】 For example, a traveler who wants to enjoy nature sightseeing and local food on a Sunday would enter the keywords "nature" and "local cuisine" into the terminal. The system would then consider the day's schedule and weather conditions to suggest the most suitable tourist destinations and restaurants, and guide users on efficient routes to each location. 【0735】 An example of a prompt message for the generating AI model would be: "Generate a real-time sightseeing plan based on the user's interests and schedule. Include specific sightseeing spots and transportation options, take language support into consideration, and output the results as a notification to the user's smartphone." Using this prompt, the AI ​​model will create and deliver the most suitable sightseeing plan to the user. 【0736】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0737】 Step 1: 【0738】 Users input information such as their interests, planned destinations, and schedules using devices like smartphones or smart glasses. This information is collected as input data on the device. The output at this stage is an individual traveler dataset. 【0739】 Step 2: 【0740】 The terminal sends the entered user data to a server in the cloud. The server executes a program written in Python, structuring and analyzing the user data. The resulting output is user information restructured into an analyzable data format. 【0741】 Step 3: 【0742】 The server runs generative AI models using TensorFlow and PyTorch to process and compute data to select the most suitable tourist resources based on the user's interests and schedule. The input is structured user information, and the output is a temporary dataset of tourist plans. 【0743】 Step 4: 【0744】 Based on the generated sightseeing plan, the server optimizes the travel route. Using the current location and selected sightseeing destinations as input, it calculates the optimal route in real time. The output is the most efficient travel route between destinations. 【0745】 Step 5: 【0746】 The generated sightseeing plans and routes are integrated into a multilingual translation service. This includes a process where the information is translated according to the selected language. As a result, the output becomes travel plan information that can be displayed on the user's device. 【0747】 Step 6: 【0748】 The device displays the translated plan received from the server, providing it visually to the user. The device uses Flutter to present the information in a user-friendly format. The navigation function is activated, performing real-time route guidance using GPS. The output is the delivery of these results to the user. 【0749】 Step 7: 【0750】 During your trip, the server collects information on traffic conditions, weather, and event updates, and recalculates your plan in real time. The resulting output is an updated sightseeing plan tailored to your current situation. 【0751】 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. 【0752】 This invention is configured as a system that combines an emotion engine to optimize the traveler's travel experience. The system provides a customized sightseeing plan based on the traveler's input information, and further utilizes the emotion engine to recognize the traveler's emotions in real time and adjust the plan accordingly. 【0753】 Users first use their device to input their interests, planned destinations, and travel schedule. At this stage, they can also select their preferred language and mode of transportation. 【0754】 Next, the terminal sends the user's input information to the server. The server receives this information, consults its database, and collects and analyzes relevant information about tourist attractions, restaurants, and events. 【0755】 Based on the collected information, the server generates a sightseeing plan that matches the user's interests and schedule. This plan optimally determines the order of places to visit, travel routes, and time allocation, taking user convenience into consideration. 【0756】 The generated plan is sent to the device and displayed to the user. The device also uses GPS to provide navigation information from the user's current location to each destination. This feature allows the user to travel without getting lost. 【0757】 A key feature of this system is that the server utilizes an emotion engine to recognize the user's emotions from their words, actions, and facial expressions. This emotion data is then analyzed to adjust the sightseeing plan to match the user's emotional state. For example, if the emotion engine determines that the user is tired, the plan can be eased, and rest periods increased. 【0758】 Furthermore, the emotion engine also influences the information presented and the translation function. When a user is feeling anxious, the system takes approaches such as providing more detailed information or displaying reassuring messages. 【0759】 For example, if a user shows signs of anxiety during their trip, the device will suggest a more stable mode of transportation and provide enhanced, specific guidance to help them continue their sightseeing. This can increase the traveler's sense of security. 【0760】 Thus, the system of the present invention provides a comfortable and personalized travel experience by understanding the emotions of travelers and responding flexibly accordingly. It also quickly addresses unexpected situations, helping travelers achieve their goals without stress. 【0761】 The following describes the processing flow. 【0762】 Step 1: 【0763】 Users use their devices to input their interests, planned destinations, and travel schedules. They also set their language and mode of transportation, preparing the system to understand their specific needs. 【0764】 Step 2: 【0765】 The terminal sends the entered data to the server. This data includes user interests and schedule information, and the server performs the following actions based on this information. 【0766】 Step 3: 【0767】 The server collects information on tourist attractions, restaurants, and events from travel destination databases and external APIs. The retrieved information is then filtered according to the user's interests. 【0768】 Step 4: 【0769】 The server analyzes the collected information and generates individually customized sightseeing plans. These plans include the order of visits, travel routes, and allocation of time for each location. 【0770】 Step 5: 【0771】 The device receives the generated sightseeing plan and displays it visually to the user. This plan clearly shows the places to visit, modes of transportation, and time allocation. 【0772】 Step 6: 【0773】 The server uses an emotion engine to analyze user emotional data in real time. It recognizes emotions through the user's facial expressions and voice, and considers adjusting the plan based on the results. 【0774】 Step 7: 【0775】 The server analyzes emotional data and modifies the plan as needed. For example, if fatigue is detected, it will add a rest area. 【0776】 Step 8: 【0777】 The device uses GPS functionality to determine the user's current location and provide navigation. It guides the user to the optimal route to their destination in real time. 【0778】 Step 9: 【0779】 The server adjusts multilingual translation results and optional information based on the user's emotions and delivers them to the device. This allows users to receive the necessary information in the most optimal format when they need it. 【0780】 Step 10: 【0781】 If a user reports a problem during their trip, the device sends that information to a server, which quickly provides alternatives and solutions. This helps travelers continue their journey. 【0782】 (Example 2) 【0783】 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". 【0784】 With conventional technology, it has been difficult for travelers to obtain a travel experience optimized according to their interests and emotions. There is a need for real-time optimal route guidance, multilingual information provision, and rapid resolution of problems that arise during travel. Furthermore, there is a desire to provide a more comfortable and personalized experience by flexibly adjusting the itinerary based on the traveler's emotions. 【0785】 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. 【0786】 In this invention, the server includes means for receiving information entered by travelers and generating individually tailored travel plans, means for calculating and guiding travelers to the optimal route between destinations in real time based on the travel plans, and means for analyzing the travelers' emotional state and adjusting the travel plans in real time. This makes it possible to flexibly respond to the diverse needs of travelers and provide a comfortable and personalized travel experience. 【0787】 "Traveler-entered information" refers to information that travelers fill in, such as their interests, planned destinations, travel itinerary, language used, and mode of transportation. 【0788】 A "personally tailored travel plan" is a customized itinerary based on the traveler's input information and interests, with optimized order of destinations, travel routes, and time allocation. 【0789】 An "optimal route" is a travel path calculated to allow travelers to move safely and efficiently between destinations. 【0790】 "Calculating and providing guidance in real time" means providing travelers with the optimal route and instructions immediately, based on current conditions and location information. 【0791】 "Multilingual support" refers to the function of translating information into the language used by travelers and providing the necessary information. 【0792】 "Analyzing emotional states and adjusting travel plans in real time" means analyzing travelers' behavior and biometric information, and dynamically changing the itinerary based on the results. 【0793】 "Providing alternatives" means guiding travelers to other options or solutions when they encounter a problem. 【0794】 This invention is a system designed to optimize the traveler's travel experience. Specifically, it is achieved through the cooperation of the user, terminal, and server. 【0795】 Users enter travel information using their devices. This information includes the traveler's interests, places they want to visit, schedule, preferred language, and preferred mode of transportation. 【0796】 The device transmits information collected from the user to a server via a secure protocol. The device also utilizes GPS functionality to provide guidance based on the user's location. It supports travel by updating information in real time and displaying maps and schedules through the user interface. 【0797】 The server combines received information with data on tourist destinations, restaurants, and events collected from various databases, and analyzes it using an AI model to generate a personalized travel plan. This plan is optimized based on the user's interests, taking into account the order of places to visit, travel routes, and duration. Furthermore, the server utilizes an emotion engine to analyze the user's emotional state and adjust the plan in real time accordingly. The server then transmits this information to the user's device, providing a flexible travel experience. 【0798】 For example, if a user becomes tired during a trip, the emotion engine recognizes this state, and the server updates the plan and suggests taking a break. Furthermore, if the user feels anxious about directions or language barriers, the device provides more detailed directions and translation functions. In this way, personalized services are provided according to the user's state. 【0799】 An example of a prompt that can be input into the generating AI model is a question such as, "If the user gets tired, how should I adjust the travel plan?" Through this prompt, the system can provide more accurate suggestions for travel planning. 【0800】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0801】 Step 1: 【0802】 Users use a device to input travel-related information. Specifically, they enter categories of interest (e.g., history, nature), planned destinations, travel schedule, preferred language, and mode of transportation in text format. This input information is recorded as digital data on the device. 【0803】 Step 2: 【0804】 The terminal sends information obtained from the user to the server. For data protection purposes, the data is encrypted and sent to the server using a dedicated protocol (e.g., HTTPS). The input data here is the user's input information, and the output is the transmission of encrypted data to the server. 【0805】 Step 3: 【0806】 Based on the received information, the server references multiple databases to collect information on tourist destinations, restaurants, and events. The data input is user information, and relevant tourist information is extracted from the databases. This data is then formatted for analysis. 【0807】 Step 4: 【0808】 The server utilizes a generative AI model to generate personalized travel plans tailored to the user's interests and schedule. Specifically, it uses machine learning algorithms to classify interests and determine the optimal order of visits, travel routes, and time allocation. The input is formatted travel information, and the output is an optimized travel plan. 【0809】 Step 5: 【0810】 The server sends the generated sightseeing plan to the terminal. The terminal displays this data to the user using a wide range of user interfaces. The input data is an optimized sightseeing plan, and the output is in a visually verifiable format for the user. The terminal also launches a map application to assist with navigation. 【0811】 Step 6: 【0812】 The server uses an emotion engine to analyze the user's emotional state. This process uses input prompts and the user's biometric data (e.g., heart rate and facial recognition data) to identify the user's emotional state in real time. Based on these analysis results, the sightseeing plan is adjusted. 【0813】 Step 7: 【0814】 The server uses the results of the emotion engine to adjust and update the sightseeing plan as needed. For example, if fatigue is detected, it will suggest rest stops, making rapid plan changes based on the traveler's condition. The input is the result of the emotion analysis, and the output is the adjusted sightseeing plan. 【0815】 Step 8: 【0816】 The device displays the adjusted plan to the user again and provides reassuring messages and additional information based on the updated information. This reduces misunderstandings and anxieties for travelers, allowing them to enjoy their trip smoothly. 【0817】 (Application Example 2) 【0818】 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". 【0819】 In recent years, travelers have been seeking more personalized experiences than simply visiting tourist destinations. However, traditional tour planning systems struggle to adapt in real time to travelers' emotions and changing circumstances, failing to alleviate their stress and anxiety. Furthermore, there is often a lack of sufficient information and translation to bridge cultural and language gaps. As a result, travel experiences tend to be monotonous. 【0820】 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. 【0821】 In this invention, the server includes means for receiving input information from travelers and generating individually customized sightseeing plans, means for detecting the travelers' emotions using sensors and analyzing emotional data, and means for adjusting the sightseeing plan in real time based on the emotional data. This enables flexible and personalized travel planning that responds to the travelers' emotions, as well as reassuring support. 【0822】 "Traveler input information" refers to information that travelers provide to the system, such as their interests, planned destinations, and travel schedule. 【0823】 A "customized sightseeing plan" is a travel plan formulated according to the individual traveler's interests and schedule, with optimized order and route of visits. 【0824】 The "optimal route" is a path calculated considering time efficiency and convenience from the traveler's current location to their destination. 【0825】 "Multilingual support" refers to a function that translates information provided in different languages, making it understandable to users in their preferred language. 【0826】 "Alternatives" are options or additional action plans provided by the system in case problems arise during travel. 【0827】 "Detecting emotions with sensors" refers to technology that identifies travelers' emotional states from their facial expressions, voices, and other cues. 【0828】 "Emotional data" refers to information that represents the emotions of travelers, which is then digitized and used to adjust travel plans. 【0829】 "Real-time adjustment" means instantly changing and optimizing the sightseeing plan according to the traveler's emotions and circumstances. 【0830】 The system for realizing this invention uses specific hardware and software to provide travelers with suitable sightseeing plans and to make real-time adjustments based on the travelers' emotions. It is primarily operated by a server, terminals, and the travelers themselves. 【0831】 The server receives traveler input information and generates individually customized sightseeing plans using a generative AI model. Based on this information, the server performs multilingual translation and provides the information in a language that is easy for the user to understand. 【0832】 The terminal functions as an interface for travelers to input information and communicate with the server. Equipped with sensors such as a camera and microphone, the terminal detects the traveler's emotions. This allows it to receive emotion data from the server and update the plan in real time if the traveler is feeling stressed, providing a more reassuring sightseeing route and detailed information. 【0833】 As a concrete example, when a family traveler uses the system, it can provide the optimal route to tourist attractions and suggest resting in a nearby park if the children get tired. Furthermore, using a prompt example such as, "We'd like a relaxing sightseeing trip today. What kind of spots would be good?", the system will suggest a plan tailored to that request. 【0834】 This system enables flexible and personalized travel experiences to enhance traveler well-being. It also addresses anxieties and problems that may arise during travel, supporting travelers in having a fulfilling experience. 【0835】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0836】 Step 1: 【0837】 Users use a terminal to input their interests, planned destinations, and travel schedule. The entered data is sent from the terminal to a server, forming the basis for customizing the user's desired travel experience. Input is in text format, and output is transmitted to the server. 【0838】 Step 2: 【0839】 The server uses a generative AI model to generate individual sightseeing plans from the received input information. Based on the input data, it consults a database to retrieve relevant spots and event information and calculates the optimal sightseeing route that matches the user's schedule and interests. The generated plan is output as text data and sent to the terminal. 【0840】 Step 3: 【0841】 The device displays the received sightseeing plan to the user. Furthermore, it uses GPS to obtain the user's current location and provides real-time navigation information. The user's location information is used as input, and optimized route information is output. 【0842】 Step 4: 【0843】 The server uses an emotion engine to analyze sensor information (camera images and audio) transmitted from the terminal and recognize the user's emotions. The detected emotion data is used as a basis for adjusting the current plan. The input is sensor data, and the output is the analyzed emotion data. 【0844】 Step 5: 【0845】 If a specific emotional state is detected, such as fatigue, the server uses a generative AI model to readjust the sightseeing plan and send it to the device. The aim is to provide a more reassuring travel experience by relaxing the plan or adding new suggestions. The input is emotional data, and the output is the adjusted sightseeing plan. 【0846】 In this way, users can enjoy a personalized, emotionally resonant, and flexible travel experience. 【0847】 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. 【0848】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0849】 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. 【0850】 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. 【0851】 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. 【0852】 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. 【0853】 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. 【0854】 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. 【0855】 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." 【0856】 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. 【0857】 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. 【0858】 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. 【0859】 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. 【0860】 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. 【0861】 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. 【0862】 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. 【0863】 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. 【0864】 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. 【0865】 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. 【0866】 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. 【0867】 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 as being incorporated by reference. 【0868】 The following is further disclosed regarding the embodiments described above. 【0869】 (Claim 1) 【0870】 A means of receiving traveler input information and generating individually customized sightseeing plans, 【0871】 A means for calculating and guiding the optimal route between destinations in real time based on the aforementioned sightseeing plan, 【0872】 Multilingual support provides a means to translate necessary information, 【0873】 Means of providing alternative solutions to problems that may arise during travel, 【0874】 A system that includes this. 【0875】 (Claim 2) 【0876】 The system according to claim 1, which collects and analyzes information on tourist attractions, restaurants, and events based on the interests of travelers. 【0877】 (Claim 3) 【0878】 The system according to claim 1, which provides real-time navigation using the traveler's current location information. 【0879】 "Example 1" 【0880】 (Claim 1) 【0881】 A means for receiving traveler input information and generating individually customized travel plans using data analysis techniques, 【0882】 A means of calculating the optimal route from the departure point to the destination based on the aforementioned travel plan and providing real-time guidance while taking local information into consideration, 【0883】 Providing multilingual translation services through information display terminals is a means of overcoming language barriers. 【0884】 A means of providing alternative routes and corrective plans for unexpected obstacles that may occur during travel by referring to external information, 【0885】 A system that includes this. 【0886】 (Claim 2) 【0887】 The system according to claim 1, which collects and analyzes information on tourist destinations, restaurants and events related to the individual interests of travelers and incorporates it into their travel plans. 【0888】 (Claim 3) 【0889】 The system according to claim 1, which provides spatial guidance in real time using location information of a mobile communication device. 【0890】 "Application Example 1" 【0891】 (Claim 1) 【0892】 A means of receiving traveler input information and generating individually customized sightseeing plans, 【0893】 A means for calculating and guiding the optimal travel route between destinations in real time based on the aforementioned sightseeing plan, 【0894】 By supporting multiple languages, we have a means to translate the necessary information, 【0895】 Means of providing alternative solutions to problems that may arise during travel, 【0896】 A means of analyzing tourist resources in real time based on travelers' interests and schedules, and providing individually optimized experiences. 【0897】 A system that includes this. 【0898】 (Claim 2) 【0899】 The system according to claim 1, which collects and analyzes information on tourist destinations, restaurants, and events based on travelers' interests. 【0900】 (Claim 3) 【0901】 The system according to claim 1, which uses the traveler's current location information to provide real-time route guidance utilizing GPS. 【0902】 "Example 2 of combining an emotion engine" 【0903】 (Claim 1) 【0904】 A device that receives information entered by travelers and generates individually tailored sightseeing plans, 【0905】 A device that calculates and guides the optimal route between destinations in real time based on the aforementioned sightseeing plan, 【0906】 A device that translates information required by multilingual support, 【0907】 A device that analyzes the emotional state of travelers and adjusts sightseeing plans in real time, 【0908】 A device that provides alternative solutions to problems that may arise during travel, 【0909】 A system that includes this. 【0910】 (Claim 2) 【0911】 The system according to claim 1, which collects and analyzes information on tourist spots, restaurants, and events based on travelers' interests. 【0912】 (Claim 3) 【0913】 The system according to claim 1, which provides real-time guidance using the traveler's current location information. 【0914】 "Application example 2 when combining with an emotional engine" 【0915】 (Claim 1) 【0916】 A means of receiving traveler input information and generating individually customized sightseeing plans, 【0917】 A means for calculating and guiding the optimal route between destinations in real time based on the aforementioned sightseeing plan, 【0918】 Multilingual support provides a means to translate necessary information, 【0919】 Means of providing alternative solutions to problems that may arise during travel, 【0920】 A method for detecting travelers' emotions using sensors and analyzing emotional data, 【0921】 A means for adjusting the sightseeing plan in real time based on the aforementioned sentiment data, 【0922】 A system that includes this. 【0923】 (Claim 2) 【0924】 The system according to claim 1, which collects and analyzes information on tourist attractions, restaurants, and events based on travelers' interests. 【0925】 (Claim 3) 【0926】 The system according to claim 1, which uses the traveler's current location information to provide real-time navigation and information optimization. [Explanation of symbols] 【0927】 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 traveler input information and generating individually customized sightseeing plans, A means for calculating and guiding the optimal route between destinations in real time based on the aforementioned sightseeing plan, Multilingual support provides a means to translate necessary information, Means of providing alternative solutions to problems that may arise during travel, A system that includes this. [Claim 2] The system according to claim 1, which collects and analyzes information on tourist spots, restaurants, and events based on travelers' interests. [Claim 3] The system according to claim 1, which provides real-time navigation using the traveler's current location information.

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