system

Abstract

We provide the system. [Solution] An input means for entering user information, A data collection method that collects data from multiple sources, A data processing means for filtering collected data based on user information, A generation means for generating a tourist plan using the filtered data and user information, A means of presenting the generated sightseeing plan to the user, A means of adjusting the sightseeing plan based on change requests from users, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In Japan, since a large number of people visit tourist spots on weekends, these spots are crowded, and there is a problem that leisure becomes a cause of stress. Also, it is difficult for users to find spots that match their hobbies and preferences during sightseeing, and as a result, there is a bias in tourist spots due to concentration on limited spots. There is a need to solve this problem and propose a sightseeing plan that is optimal for each user and avoids congestion. 【Means for Solving the Problems】 【0005】 This invention provides a system that presents tourist spots tailored to individual hobbies and preferences based on user information, enabling users to plan travel itineraries that avoid crowds. Specifically, it includes an input means for inputting user information and a data collection means for collecting tourism-related data from multiple information sources. It also includes a data processing means for processing the collected data based on user information and a generation means for generating tourism plans using a generation AI. Furthermore, by combining the generated plan with an adjustment means that presents the plan to the user and adjusts the plan based on user change requests, the system provides an optimal tourism plan that avoids crowds. 【0006】 "User information" refers to personal data used to understand a user's age, gender, hobbies, and other preferences. 【0007】 An "input means" is a device or interface for a user to provide information to a system. 【0008】 "Data collection means" refers to the function of collecting relevant information such as tourist destinations, transportation, and weather from external information sources. 【0009】 A "data processing method" is a function that organizes collected data based on user information and selects data according to specific conditions. 【0010】 "Generation method" refers to an AI or algorithm that creates an optimal sightseeing plan for the user based on processed data. 【0011】 "Presentation means" refers to a device or interface for informing the user of the generated sightseeing plan visually or audibly. 【0012】 "Adjustment mechanisms" refer to functions that receive user feedback and change requests and revise the tourism plan accordingly. [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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0014】 Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings. 【0015】 First, the terms used in the following description will be explained. 【0016】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0017】 In the following embodiments, the numbered 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 numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc. 【0019】 In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc. 【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】 The system of this invention provides sightseeing plans that avoid crowds based on the user's personality and preferences. Users input user information such as age, gender, and hobbies via a terminal. This information is used as key data to understand the user's specific preferences. 【0035】 The server collects various types of data through the internet and dedicated information sources. This data includes details about tourist attractions, transportation information, weather forecasts, and event information. After collection, the server filters the data based on the information entered by the user and extracts areas and spots that match the user's interests. 【0036】 Next, the server uses a generative AI model to generate a sightseeing plan, leveraging the filtered data and user information. This process takes into account factors such as expected crowd levels and weather conditions to provide the user with the best possible experience. 【0037】 The generated sightseeing plan is presented to the user via their device. The user can not only view the proposed plan but also customize and adjust it as needed. Based on the user's request, the server reuses the AI ​​model to generate a revised plan. 【0038】 For example, if a female user in her 30s wants to visit art museums and go shopping, the server will include unique local art galleries and new shopping malls in the plan, rather than crowded, well-known museums on weekends. If the user wants to customize the presented plan, they can also change the lunch location to a specific cafe. 【0039】 This system takes into account user preferences and real-time circumstances, providing users with the most stress-free and enjoyable travel experience. It also aims to distribute the overall economic impact by preventing over-reliance on specific tourist spots. 【0040】 The following describes the processing flow. 【0041】 Step 1: 【0042】 Users operate a terminal to input personal information such as their age, gender, and hobbies. This information will serve as the basis for generating travel plans later on. 【0043】 Step 2: 【0044】 The terminal sends the entered user information to the server. This data transmission allows the server to begin processing the data based on the user's preferences. 【0045】 Step 3: 【0046】 The server collects various types of data, such as tourist information, traffic conditions, weather forecasts, and event information, using the internet and dedicated information sources. This collected data is then filtered according to the user's needs. 【0047】 Step 4: 【0048】 The server filters the collected data based on user information. The server processes data according to the user's interests and current situation in order to select less crowded spots and activities that are suitable for the weather. 【0049】 Step 5: 【0050】 The server uses a generative AI model to generate optimal sightseeing plans from filtered data and user information. Because the generated plans take into account user preferences and real-time conditions, they can provide the best possible experience. 【0051】 Step 6: 【0052】 The terminal displays a sightseeing plan provided by the server to the user in a visualized format. The user can review this plan and, if satisfied with its contents, can adopt it as is. 【0053】 Step 7: 【0054】 Users can customize the presented plan as needed. For example, they can change the priority of destinations or add or remove specific spots. 【0055】 Step 8: 【0056】 The server receives customization requests from users and readjusts the plan using a generated AI model. It then sends the adjusted plan to the device for the user to make a final confirmation. 【0057】 Step 9: 【0058】 Users can review their final plan and proceed with their sightseeing preparations based on it. The device also provides the ability to save and print out the plan. 【0059】 (Example 1) 【0060】 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." 【0061】 Modern travelers seek personalized travel plans, yet are often heavily influenced by real-time conditions such as crowds and weather. Furthermore, relying solely on popular tourist spots makes it difficult to efficiently discover new experiences and hidden gems. This creates a need for a system that allows for flexible and rapid adjustment of travel plans. 【0062】 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. 【0063】 In this invention, the server includes receiving means for inputting user attributes, information gathering means for acquiring information from multiple data sources, and data processing means for selecting the acquired information based on user attributes. This enables the automatic generation and adjustment of sightseeing plans that are tailored to the user's personality and preferences and can be adapted to a real-time environment. 【0064】 "User attributes" refer to personal information such as a user's age, gender, and hobbies, and are basic data used to understand a user's personality and preferences. 【0065】 A "receiving means" is a technical element equipped with the function of inputting and acquiring attribute information from a user. 【0066】 "Information gathering means" refers to technical means that have the function of obtaining detailed data on tourism from multiple sources. 【0067】 "Data processing means" refers to technologies that perform a process of filtering collected information based on user attributes and selecting highly relevant data. 【0068】 A "generative AI model" is a machine learning algorithm used to construct tourism plans based on collected and processed data, and it has the ability to generate responses to prompts. 【0069】 A "prompt statement" is a text containing questions or instructions that serve as guidelines for the generating AI model when creating a tourist plan. 【0070】 "Situational considerations" refer to a system function used to adjust sightseeing plans by taking into account real-time congestion levels and weather conditions. 【0071】 "Display means" refers to technical elements for visually presenting the generated sightseeing plan to the user. 【0072】 "Modification mechanisms" refer to technical functions that allow existing sightseeing plans to be modified and adjusted according to user requests. 【0073】 The system of this invention is designed to provide sightseeing plans based on the user's personality and preferences. Users input user attributes such as age, gender, and hobbies via a terminal. This information is collected and analyzed by a server. The software used includes a database system for managing user information and an API connection function for collecting real-time data. 【0074】 The server uses information gathering tools to acquire data from various sources, including tourist spot information, traffic conditions, weather forecasts, and event information. The database used in this process is designed to efficiently manage and access tourism-related data. Furthermore, the collected information is filtered based on user attributes using data processing tools. In particular, the generative AI model utilizes the filtering results to generate tourism plans tailored to the user's interests. The software used includes a generative AI model based on machine learning algorithms. 【0075】 The generated sightseeing plan is displayed on the device and presented to the user. The user can view the plan and request customization or changes as needed. The server instructs the AI ​​model through prompt messages to regenerate the optimal plan according to the user's requests. 【0076】 As a concrete example, if a female user in her 30s wants to visit art museums and go shopping, the server uses a generative AI model to select available tourist spots, taking into account traffic information and weather conditions. It avoids popular spots that are crowded on weekends and proposes a plan that includes hidden art galleries and new shopping malls. Furthermore, if the user specifically requests, "I want to take a break at a cafe at 2 PM," they can input "Please select a cafe that is open at 2 PM" as a prompt and receive detailed suggestions from the AI ​​model. 【0077】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0078】 Step 1: 【0079】 The user enters attribute information such as age, gender, and hobbies into the terminal. This entered information forms the basis for the first processing step. The terminal formats this user input data and prepares it for transmission to the server. 【0080】 Step 2: 【0081】 Based on the received user attributes, the server retrieves information on tourist spots, traffic conditions, weather forecasts, event information, and more via the internet or a dedicated API. The retrieved data is stored in a database and used as material for customization based on user attributes. 【0082】 Step 3: 【0083】 The server takes user attribute information as input and filters the tourism-related data stored in the database. Using an algorithm, it selects tourist destinations and event information that are associated with the user's hobbies and attributes. This filtering process extracts the information that is most relevant to the user. 【0084】 Step 4: 【0085】 The server receives filtered data and user information as input and generates a travel plan using a generative AI model. During this generation process, instructions are sent to the AI ​​model through prompt messages. The AI ​​calculates the optimal plan for the user, taking into account factors such as congestion and weather forecasts. The generated plan is a detailed travel suggestion that includes a series of actions and the order of visits. 【0086】 Step 5: 【0087】 The terminal visualizes the sightseeing plan received from the server and presents it to the user. The user checks the proposed plan and requests customization or adjustments as needed. This request is sent to the server and processed again. 【0088】 Step 6: 【0089】 The server processes the user's request, reusing the generated AI model as needed to create a revised sightseeing plan. This process takes into account the user's new requests, creating a more detailed and customized plan. The generated revised plan is then provided to the user again via the terminal to serve as the basis for obtaining final consent. 【0090】 (Application Example 1) 【0091】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0092】 In modern tourism, there is a demand for providing optimal sightseeing plans tailored to individual user preferences and real-time conditions. However, conventional systems have struggled to immediately reflect user requests and make real-time adjustments and customizations. As a result, they have been inadequate in responding to congestion at tourist destinations and changes in weather, leading to decreased user satisfaction. Therefore, a system that provides more flexible and personalized sightseeing plans is needed to improve user satisfaction. 【0093】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0094】 In this invention, the server includes input means for inputting user information, data collection means for collecting data from multiple information sources, data processing means for filtering the collected data based on user information, adjustment means for readjusting the sightseeing plan in real time based on tourist destinations and transportation information, presentation means for providing the generated sightseeing plan to the user, regeneration means for accepting customization requests from the user and regenerating the sightseeing plan, and visualization means for visualizing the details of tourist spots to the user using augmented reality technology. This makes it possible to provide personalized sightseeing plans that are tailored to the user's preferences and real-time circumstances, thereby improving the user experience. 【0095】 "User information" refers to information that indicates a user's individual characteristics and preferences, including age, gender, hobbies, etc. 【0096】 "Input means" refers to a device or method for receiving information from a user, such as using a keyboard or touchscreen on a terminal. 【0097】 "Data collection means" refers to devices or methods for collecting necessary data from the internet or dedicated information sources. 【0098】 "Data processing means" refers to a device or method for organizing, classifying, or filtering collected data based on user information. 【0099】 "Generation means" refers to an apparatus or method for creating a tourist plan suitable for a user based on filtered data. 【0100】 "Adjustment means" refers to a device or method for modifying a tourist plan based on tourist destinations, transportation information, and user requests. 【0101】 "Presentation means" refers to a device or method for conveying a generated sightseeing plan to a user, and which uses a display or audio output. 【0102】 A "regeneration means" is a device or method for updating a tourist plan in response to a user's customization request. 【0103】 "Visualization means" refers to a device or method for displaying detailed information about a tourist spot to the user's eyes using augmented reality technology. 【0104】 The system of this invention is based on the premise that it has a terminal for accurately inputting user information and an internet connection environment. The terminal includes devices such as smartphones and smart glasses, and the user provides information such as age, gender, and hobbies through these devices. 【0105】 The server is configured in a cloud environment and includes means for data collection, processing, generation, adjustment, presentation, regeneration, and visualization. The server utilizes Google® Cloud Functions and AWS® Lambda, and leverages generative AI models such as OpenAI®'s GPT-4®. This allows the server to collect data on tourist attractions, traffic information, weather information, etc., from the internet and other dedicated information sources, and filter it based on user input. The filtered data is analyzed through the generative AI model to generate an optimal travel plan for the user. 【0106】 The sightseeing plan is provided to the user's device in real time, and the user can view the suggested plan through the device's display or the AR function of smart glasses. Users can also modify the sightseeing plan by entering customization requests into the system. The server reflects these changes and regenerates and re-presents the sightseeing plan according to the latest information and user requests. 【0107】 Furthermore, visualization utilizing augmented reality technology allows users to view detailed information about local tourist attractions right before their eyes. This visualization technology is realized using Microsoft® HoloLens® or similar devices. 【0108】 As a concrete example, if a female user in her 30s who loves art visits an urban area, the system will suggest a plan of visiting museums and art shops that avoid crowds, based on her information. Furthermore, if the user wants to add a café hopping activity, the server can receive the request and instantly update the sightseeing plan. In this case, the following prompt is entered into the generating AI model: "A female user in her 30s wants to visit art exhibitions and cafés in Tokyo. Based on current weather and traffic information, please prepare the optimal sightseeing plan that avoids crowds." 【0109】 This allows users to enjoy an optimal travel experience that perfectly fits their individual preferences and real-time circumstances. 【0110】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0111】 Step 1: 【0112】 The user uses a device to enter user information such as age, gender, and hobbies. The device temporarily stores this information and prepares to send it to the server. This input information will then become key data for generating the sightseeing plan. 【0113】 Step 2: 【0114】 The server collects data from multiple sources, including tourist attractions, traffic information, weather information, and event information. Here, APIs (e.g., Google Maps API and OpenWeatherMap API) are used to collect real-time information. The collected data is stored in a database and used in subsequent filtering processes. 【0115】 Step 3: 【0116】 The server filters the collected data based on user information. As a data processing step, it extracts only tourist spots based on the user's hobbies and preferences. For example, a user who likes art exhibitions will have priority given to information on art galleries and museums. This processed data is then sent to a generating AI model. 【0117】 Step 4: 【0118】 The server uses a generation AI model to generate a sightseeing plan based on filtered data. The inputs here are filtered tourist destination information and user preference information. The generation AI model utilizes prompts to suggest the optimal sightseeing route and schedule for the user. This generated plan is temporarily stored. 【0119】 Step 5: 【0120】 The server sends the generated sightseeing plan to the terminal and presents it to the user. The user can view the details of the proposed plan on the terminal's display. This is the stage where the user visually confirms the presented information and considers any customization requests as needed. 【0121】 Step 6: 【0122】 Users can request customizations to the proposed sightseeing plan. For example, they can send requests from their device to the server to add places to visit or adjust the time slots. This customization information is received by the server, and preparations for the readjustment process begin. 【0123】 Step 7: 【0124】 The server regenerates the sightseeing plan based on the customization request. Using the regeneration mechanism, the sightseeing plan is updated based on the user's request and the latest real-time data. During this process, prompt messages are used again to incorporate the latest information. This newly generated plan is then resent to the user's terminal. 【0125】 Step 8: 【0126】 Users can review their latest travel plans on their devices and make adjustments until they are satisfied. Furthermore, they can enable a feature that visualizes detailed information about specific spots using augmented reality technology. This allows users to virtually experience the places they plan to visit in advance. 【0127】 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. 【0128】 The system of this invention provides an optimal sightseeing plan that avoids crowds, based on the user's personality, preferences, and even emotional state. The user inputs user information such as age, gender, and hobbies via a terminal. This initial information serves as the starting point for the subsequent sightseeing plan generation process. 【0129】 Furthermore, the device incorporates an emotion engine that recognizes the user's emotions in real time from their facial expressions, voice, or entered emotional states. This emotional information is sent to the server as important data for optimizing the user experience. 【0130】 The server uses the internet and dedicated information sources to collect information such as tourist attractions, transportation information, weather forecasts, and event details. The collected data is filtered based on the user's interests and emotional state. For example, if the user wants to relax, tourist destinations with quiet environments will be prioritized. 【0131】 The generated sightseeing plan is constructed via an AI model and adjusted to take into account the user's emotions and environmental conditions. The device then presents this sightseeing plan to the user. The plan includes sightseeing spots to visit, transportation methods, and a schedule. 【0132】 For example, if a user is feeling stressed, the server might include a nature-filled park or a relaxing spa in the sightseeing plan. Furthermore, the emotion engine can analyze user feedback in real time and readjust the plan based on user satisfaction and feedback. 【0133】 This system not only considers user interests and congestion levels, but also enables flexible planning that reflects the user's emotional state, providing a unique and personalized sightseeing experience. 【0134】 The following describes the processing flow. 【0135】 Step 1: 【0136】 The user uses their device to input their age, gender, hobbies, and current emotional state. This emotional state input can be done via voice or text through the emotion engine. 【0137】 Step 2: 【0138】 The terminal collects the entered user information and sentiment data and sends it to the server. This prepares the server to process the data based on the user's current state. 【0139】 Step 3: 【0140】 The server collects information such as tourist attractions, traffic information, weather forecasts, and event information from the internet and stores it as real-time data. This information is used for planning that meets the user's needs. 【0141】 Step 4: 【0142】 The server filters the collected data based on the user's hobbies and emotional state. It considers the emotional state indicated by the emotion engine, selecting a quiet and calm location if, for example, relaxation is needed. 【0143】 Step 5: 【0144】 The server utilizes a generative AI model to generate sightseeing plans based on filtered data and emotional information. These sightseeing plans are optimized to take the user's emotions into consideration. 【0145】 Step 6: 【0146】 The terminal visually displays the sightseeing plan received from the server to the user. The user can then review the suggested travel route and destinations and begin activities based on it. 【0147】 Step 7: 【0148】 Users can provide feedback on the proposed plan. This feedback is used to capture changes in the user's emotions using an emotion engine, and is utilized to further increase user satisfaction. 【0149】 Step 8: 【0150】 The server analyzes user feedback and changing emotions using an emotion engine, and readjusts the sightseeing plan as needed. The adjusted plan is then sent back to the terminal and presented to the user. 【0151】 Step 9: 【0152】 Users approve the final plan and then execute their trip based on it. Once all the itineraries are complete, users can evaluate the overall experience through an emotional engine, which helps them plan their next trip. 【0153】 (Example 2) 【0154】 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." 【0155】 Conventional tourism planning systems struggle to provide flexible plans that adequately reflect users' individuality and emotional states, resulting in difficulties in delivering the optimal tourism experience for each user. Furthermore, plans that do not take into account real-time emotional changes cannot improve user satisfaction. 【0156】 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. 【0157】 In this invention, the server includes input means for inputting user characteristics, information gathering means for collecting information from multiple information sources, information processing means for filtering the collected information based on user characteristics and emotional state, adjustment means for adjusting the sightseeing experience plan using a generative AI model, and reconstruction means for reconstructing the sightseeing experience plan based on user feedback. This makes it possible to provide flexible and personalized sightseeing plans based on the user's individual characteristics and real-time emotional state. 【0158】 "User characteristics" refer to individual user information such as age, gender, and hobbies, and this information is used to customize the tourist experience plan. 【0159】 "Input method" refers to an interface that allows users to provide their information and feedback to the system, and includes keyboards, touchscreens, and other similar devices. 【0160】 "Information gathering means" refers to a system for obtaining relevant information from multiple sources and storing it in a database. 【0161】 "Information processing means" refers to the process of selecting collected information based on user characteristics and emotional states, and providing only the most relevant information to the user. 【0162】 "Generative means" refers to the process of creating a tourist experience plan based on filtered information, and involves the use of a generative AI model. 【0163】 "Adjustment methods" refer to the process of optimizing or modifying the generated tourist experience plan in response to user feedback and their emotional state at that time. 【0164】 "Reconstruction means" refers to the process of modifying and recreating tourist experience plans in response to user feedback and emotional states. 【0165】 "Means of delivery" refers to the interface and process that presents the generated tourism experience plan to the user in an easy-to-understand format. 【0166】 "Emotional state" refers to the state of emotions perceived from the user's facial expressions, voice, and actions, and is an important element for the system to provide a plan that meets the user's needs. 【0167】 A "generative AI model" refers to artificial intelligence technology used to create tourism experience plans based on collected information and user characteristics. 【0168】 The system of this invention provides a suitable tourism experience based on the user's personality and emotional state. To achieve this, a terminal, a server, and a generative AI model work in coordination. 【0169】 First, the user inputs information about their personality, such as age, gender, and hobbies, via the device. This input is done using common input devices such as keyboards and touchscreens. Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice to recognize their emotional state in real time. Specifically, the hardware includes a camera and microphone, while the emotion analysis algorithm operates as software. 【0170】 Next, the server collects information such as tourist attractions, transportation information, weather forecasts, and event details from the internet and dedicated information sources. Information collection technologies such as APIs and web scraping are used. The collected data is stored in a database system and filtered based on the user's personality and emotional state. For example, for a user who wants to relax, information on quiet tourist destinations and places with abundant nature is prioritized. 【0171】 Subsequently, the server uses the generated AI model to plan the tourist experience. Based on the user's information and filtered data, the AI ​​model generates an individually optimized plan. In this process, an example of a prompt statement is provided to the AI ​​model: "Please suggest places where I can relax to relieve stress." 【0172】 Finally, the generated travel experience plan is delivered to the user via their device. The user can receive a detailed plan including sightseeing spots, transportation, and schedule. If the user's emotional state changes in real time or if there is feedback from the user, the server can restructure the plan and present the user with an updated plan on demand. 【0173】 In this way, the system takes into account the user's individual needs and real-time emotional state to provide a personalized travel experience. 【0174】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0175】 Step 1: 【0176】 Users input personal information such as their age, gender, and hobbies via their device. The device stores this information as personal data and passes it on to the next processing step. The input data is categorized, and a basic dataset for generating travel plans is created. 【0177】 Step 2: 【0178】 The emotion engine built into the device analyzes the user's facial expressions and voice. This allows for real-time recognition of the emotional state, which is then output as emotion data. Specifically, data obtained from the camera and microphone is analyzed to generate a numerical emotion score. 【0179】 Step 3: 【0180】 The server collects information such as tourist attractions, transportation information, weather forecasts, and event details from the internet and dedicated information sources. It uses an API to gather this information and store it in a database. Input data consists of the latest information from external sources, and output is the storage of data in the information database. 【0181】 Step 4: 【0182】 The server uses the collected information to filter results using user personality and emotional data. Here, it selects tourist destinations and events that match the user's purpose, such as relaxation. A prompt message like "Please suggest places where I can relax to relieve stress" is fed into the AI ​​model, and the filtered results are output. 【0183】 Step 5: 【0184】 The server uses a generative AI model to create a travel plan. Taking filtered information and prompts as input, the model constructs an optimal travel experience plan and outputs specific plan data. The generated plan includes places to visit, modes of transportation, and a schedule. 【0185】 Step 6: 【0186】 The terminal presents the generated sightseeing plan to the user. The plan details are displayed on the screen, allowing the user to recognize them. The user then prepares to take action based on the provided plan. 【0187】 Step 7: 【0188】 Users input feedback using a device. The device sends this feedback, along with their emotional state and requests, to the server. The input feedback is treated as data to help improve the system and is used to develop future plans. 【0189】 Step 8: 【0190】 The server reconstructs the sightseeing plan based on user feedback and real-time sentiment data. It uses a generative AI model to readjust the plan as needed and sends the updated plan data to the user's device. This ensures that users always have the latest and most optimal sightseeing experience. 【0191】 (Application Example 2) 【0192】 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". 【0193】 Current tourism plan provision systems have the problem of only being able to offer standardized plans without adequately considering the individuality and feelings of users. As a result, it is difficult to provide tourism experiences that meet user expectations, which may lead to a decrease in user satisfaction. In addition, because they cannot respond flexibly based on real-time information, they are susceptible to sudden weather changes and congestion levels. 【0194】 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. 【0195】 In this invention, the server includes an information input means for inputting user information, an emotion analysis means for recognizing the user's emotional state, and a plan generation means for generating a sightseeing plan that takes real-time circumstances into consideration. This allows for the provision of a sightseeing plan optimized for the user's personality and emotional state, and enables appropriate readjustment of the plan according to the situation. 【0196】 "Information input means" refers to a device or software used by a user to input personal information, preferences, emotional states, and other similar information. 【0197】 "Information gathering means" refers to devices or software that collect data such as tourist spots, transportation information, and weather forecasts from multiple sources. 【0198】 "Emotion analysis means" refers to a device or software for recognizing a user's emotional state from their facial expressions or voice. 【0199】 "Data processing means" refers to a device or software that filters collected data based on user information and emotional state and converts it into appropriate information. 【0200】 "Plan generation means" refers to a device or software that generates a tourist plan using filtered data, user information, and emotional state. 【0201】 "Information presentation means" refers to a device or software for presenting a generated sightseeing plan to a user. 【0202】 "Planning adjustment means" refers to a device or software that readjusts the sightseeing plan based on user feedback. 【0203】 To realize this invention, it is necessary to design a system that allows users to generate and adjust sightseeing plans using a device such as a smartphone. This system is constructed as follows: 【0204】 Users input their personal information, preferences, and emotional states through a smartphone application using an input method. The entered data is processed on the device before being sent to the server. 【0205】 The server uses information gathering tools to collect relevant tourist information, traffic information, and weather forecasts from the internet and dedicated information sources. This includes a backend system using Python and Flask, as well as external information sources such as the OpenWeatherMap API. 【0206】 Subsequently, emotion analysis tools recognize the user's emotional state using data acquired in real time from the camera and microphone of the device. This involves using machine learning models such as TENSORFLOW®. 【0207】 The data processing system filters the collected information based on user information and emotional state. In this process, the filtered information is passed to the subsequent plan generation system, for example, prioritizing quiet tourist destinations when the user is seeking relaxation. 【0208】 The plan generation method uses a generative AI model to construct an optimal sightseeing plan for the user based on filtered information. This plan includes details such as sightseeing spots to visit, transportation methods, and schedules. 【0209】 Finally, the information presentation system displays the generated sightseeing plan to the user via the terminal, and the plan adjustment system flexibly reconstructs the plan based on the user's feedback. Through this process, the user can obtain the optimal plan that suits their real-time situation and emotions. 【0210】 For example, if a user is feeling stressed, the server might suggest a sightseeing plan such as, "I suggest visiting a quiet park and relaxing by enjoying nature." Such plans are constructed using an example prompt statement based on a generative AI model, such as, "Suggest a good tourist destination if the user is looking to relax." 【0211】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0212】 Step 1: 【0213】 Users input personal information, preferences, and emotional states using their devices. This data is stored in a database on the device via the input method. This allows for the collection of the user's basic information, which can then be used in subsequent processes. 【0214】 Step 2: 【0215】 The device uses a camera and microphone to capture the user's facial expressions and voice in real time. This data is processed by an emotion analysis system, and a machine learning model is used to recognize the user's emotional state. This recognized data is sent to a server as an emotional state. 【0216】 Step 3: 【0217】 The server uses information gathering tools to collect tourist information, traffic information, and weather data from the internet. This involves utilizing external APIs to obtain various data in formats such as JSON and storing it on the server. 【0218】 Step 4: 【0219】 The server uses data processing tools to filter the collected information based on user information and emotional state. This optimizes the filtered information for plan generation, eliminating irrelevant data. 【0220】 Step 5: 【0221】 The server uses a generation AI model to construct an optimal sightseeing plan for the user based on filtered information. It operates the AI ​​model using specific prompts to create a detailed plan including destinations and transportation. 【0222】 Step 6: 【0223】 The terminal presents the generated sightseeing plan to the user using an information display device. The user can review this plan and provide feedback as needed. 【0224】 Step 7: 【0225】 The server reconstructs the plan using planning adjustment mechanisms based on user feedback. By reflecting the user's emotional state and real-time circumstances, it is possible to provide a timely updated plan. 【0226】 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. 【0227】 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. 【0228】 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. 【0229】 [Second Embodiment] 【0230】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0231】 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. 【0232】 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). 【0233】 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. 【0234】 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. 【0235】 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). 【0236】 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. 【0237】 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. 【0238】 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. 【0239】 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. 【0240】 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. 【0241】 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". 【0242】 The system of this invention provides sightseeing plans that avoid crowds based on the user's personality and preferences. Users input user information such as age, gender, and hobbies via a terminal. This information is used as key data to understand the user's specific preferences. 【0243】 The server collects various types of data through the internet and dedicated information sources. This data includes details about tourist attractions, transportation information, weather forecasts, and event information. After collection, the server filters the data based on the information entered by the user and extracts areas and spots that match the user's interests. 【0244】 Next, the server uses a generative AI model to generate a sightseeing plan, leveraging the filtered data and user information. This process takes into account factors such as expected crowd levels and weather conditions to provide the user with the best possible experience. 【0245】 The generated sightseeing plan is presented to the user via their device. The user can not only view the proposed plan but also customize and adjust it as needed. Based on the user's request, the server reuses the AI ​​model to generate a revised plan. 【0246】 For example, if a female user in her 30s wants to visit art museums and go shopping, the server will include unique local art galleries and new shopping malls in the plan, rather than crowded, well-known museums on weekends. If the user wants to customize the presented plan, they can also change the lunch location to a specific cafe. 【0247】 This system takes into account user preferences and real-time circumstances, providing users with the most stress-free and enjoyable travel experience. It also aims to distribute the overall economic impact by preventing over-reliance on specific tourist spots. 【0248】 The following describes the processing flow. 【0249】 Step 1: 【0250】 Users operate a terminal to input personal information such as their age, gender, and hobbies. This information will serve as the basis for generating travel plans later on. 【0251】 Step 2: 【0252】 The terminal sends the entered user information to the server. This data transmission allows the server to begin processing the data based on the user's preferences. 【0253】 Step 3: 【0254】 The server collects various types of data, such as tourist information, traffic conditions, weather forecasts, and event information, using the internet and dedicated information sources. This collected data is then filtered according to the user's needs. 【0255】 Step 4: 【0256】 The server filters the collected data based on user information. The server processes data according to the user's interests and current situation in order to select less crowded spots and activities that are suitable for the weather. 【0257】 Step 5: 【0258】 The server uses a generative AI model to generate optimal sightseeing plans from filtered data and user information. Because the generated plans take into account user preferences and real-time conditions, they can provide the best possible experience. 【0259】 Step 6: 【0260】 The terminal displays a sightseeing plan provided by the server to the user in a visualized format. The user can review this plan and, if satisfied with its contents, can adopt it as is. 【0261】 Step 7: 【0262】 Users can customize the presented plan as needed. For example, they can change the priority of destinations or add or remove specific spots. 【0263】 Step 8: 【0264】 The server receives customization requests from users and readjusts the plan using a generated AI model. It then sends the adjusted plan to the device for the user to make a final confirmation. 【0265】 Step 9: 【0266】 Users can review their final plan and proceed with their sightseeing preparations based on it. The device also provides the ability to save and print out the plan. 【0267】 (Example 1) 【0268】 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." 【0269】 Modern travelers seek personalized travel plans, yet are often heavily influenced by real-time conditions such as crowds and weather. Furthermore, relying solely on popular tourist spots makes it difficult to efficiently discover new experiences and hidden gems. This creates a need for a system that allows for flexible and rapid adjustment of travel plans. 【0270】 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. 【0271】 In this invention, the server includes receiving means for inputting user attributes, information gathering means for acquiring information from multiple data sources, and data processing means for selecting the acquired information based on user attributes. This enables the automatic generation and adjustment of sightseeing plans that are tailored to the user's personality and preferences and can be adapted to a real-time environment. 【0272】 "User attributes" refer to personal information such as a user's age, gender, and hobbies, and are basic data used to understand a user's personality and preferences. 【0273】 A "receiving means" is a technical element equipped with the function of inputting and acquiring attribute information from a user. 【0274】 "Information gathering means" refers to technical means that have the function of obtaining detailed data on tourism from multiple sources. 【0275】 "Data processing means" refers to technologies that perform a process of filtering collected information based on user attributes and selecting highly relevant data. 【0276】 A "generative AI model" is a machine learning algorithm used to construct tourism plans based on collected and processed data, and it has the ability to generate responses to prompts. 【0277】 A "prompt statement" is a text containing questions or instructions that serve as guidelines for the generating AI model when creating a tourist plan. 【0278】 "Situational considerations" refer to a system function used to adjust sightseeing plans by taking into account real-time congestion levels and weather conditions. 【0279】 "Display means" refers to technical elements for visually presenting the generated sightseeing plan to the user. 【0280】 "Modification mechanisms" refer to technical functions that allow existing sightseeing plans to be modified and adjusted according to user requests. 【0281】 The system of this invention is designed to provide sightseeing plans based on the user's personality and preferences. Users input user attributes such as age, gender, and hobbies via a terminal. This information is collected and analyzed by a server. The software used includes a database system for managing user information and an API connection function for collecting real-time data. 【0282】 The server uses information collection means to obtain data from various information sources such as tourist spot information, traffic conditions, weather forecasts, event information, etc. The database utilized herein is designed to efficiently manage and enable access to tourism-related data. Also, the collected information is filtered by data processing means based on user attributes. In particular, the generative AI model utilizes the filtering results to generate a tourism plan in line with the user's interests. The software used includes a generative AI model based on machine learning algorithms. 【0283】 The generated tourism plan is displayed on the terminal and presented to the user. The user can view the plan and request customization or changes as needed. The server issues instructions to the AI model through prompt text to regenerate an optimal plan according to the user's requirements. 【0284】 As a specific example, when a female user in her 30s hopes to visit art museums and go shopping, the server uses the generative AI model to select available tourist spots considering traffic information and weather conditions. It proposes a plan that avoids famous spots crowded on weekends and includes hidden art galleries and new shopping malls. Furthermore, when the user specifically requests "want to take a break at a café at 2 pm", by inputting "Please select a café that is open at 2 pm" as the prompt text, detailed proposals can be received from the AI model. 【0285】 The flow of the specific process in Example 1 will be described using FIG. 11. 【0286】 Step 1: 【0287】 The user inputs attribute information such as age, gender, and hobbies into the terminal. This input information serves as the basis for the first processing step. The terminal formats these user input data and prepares to send them to the server. 【0288】 Step 2: 【0289】 Based on the received user attributes, the server retrieves information on tourist spots, traffic conditions, weather forecasts, event information, and more via the internet or a dedicated API. The retrieved data is stored in a database and used as material for customization based on user attributes. 【0290】 Step 3: 【0291】 The server takes user attribute information as input and filters the tourism-related data stored in the database. Using an algorithm, it selects tourist destinations and event information that are associated with the user's hobbies and attributes. This filtering process extracts the information that is most relevant to the user. 【0292】 Step 4: 【0293】 The server receives filtered data and user information as input and generates a travel plan using a generative AI model. During this generation process, instructions are sent to the AI ​​model through prompt messages. The AI ​​calculates the optimal plan for the user, taking into account factors such as congestion and weather forecasts. The generated plan is a detailed travel suggestion that includes a series of actions and the order of visits. 【0294】 Step 5: 【0295】 The terminal visualizes the sightseeing plan received from the server and presents it to the user. The user checks the proposed plan and requests customization or adjustments as needed. This request is sent to the server and processed again. 【0296】 Step 6: 【0297】 The server processes the user's request, reusing the generated AI model as needed to create a revised sightseeing plan. This process takes into account the user's new requests, creating a more detailed and customized plan. The generated revised plan is then provided to the user again via the terminal to serve as the basis for obtaining final consent. 【0298】 (Application Example 1) 【0299】 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." 【0300】 In modern tourism, there is a demand for providing optimal sightseeing plans tailored to individual user preferences and real-time conditions. However, conventional systems have struggled to immediately reflect user requests and make real-time adjustments and customizations. As a result, they have been inadequate in responding to congestion at tourist destinations and changes in weather, leading to decreased user satisfaction. Therefore, a system that provides more flexible and personalized sightseeing plans is needed to improve user satisfaction. 【0301】 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. 【0302】 In this invention, the server includes input means for inputting user information, data collection means for collecting data from multiple information sources, data processing means for filtering the collected data based on user information, adjustment means for readjusting the sightseeing plan in real time based on tourist destinations and transportation information, presentation means for providing the generated sightseeing plan to the user, regeneration means for accepting customization requests from the user and regenerating the sightseeing plan, and visualization means for visualizing the details of tourist spots to the user using augmented reality technology. This makes it possible to provide personalized sightseeing plans that are tailored to the user's preferences and real-time circumstances, thereby improving the user experience. 【0303】 "User information" refers to information indicating the personal characteristics and preferences of a user, including age, gender, hobbies, etc. 【0304】 "Input means" refers to a device or method for receiving information from a user, which uses a keyboard or touch screen on a terminal. 【0305】 "Data collection means" refers to a device or method for collecting necessary data from the Internet or a dedicated information source. 【0306】 "Data processing means" refers to a device or method for sorting, classifying, or filtering the collected data based on user information. 【0307】 "Generation means" refers to a device or method for creating a tourism plan suitable for a user based on the filtered data. 【0308】 "Adjustment means" refers to a device or method for modifying a tourism plan based on tourist destinations, transportation information, and requests from users. 【0309】 "Presentation means" refers to a device or method for conveying the generated tourism plan to a user, which uses a display or voice output. 【0310】 "Regeneration means" refers to a device or method for receiving a customization request from a user and updating the tourism plan. 【0311】 "Visualization means" refers to a device or method for displaying detailed information of tourist spots to the user's vision using augmented reality technology. 【0312】 The system of this invention is based on the premise that it has a terminal for accurately inputting user information and an internet connection environment. The terminal includes devices such as smartphones and smart glasses, and the user provides information such as age, gender, and hobbies through these devices. 【0313】 The server is configured in a cloud environment and includes means for data collection, processing, generation, adjustment, presentation, regeneration, and visualization. The server utilizes Google Cloud Functions and AWS Lambda, and leverages generative AI models such as OpenAI's GPT-4. This allows the server to collect data on tourist attractions, traffic information, weather information, etc., from the internet and other dedicated information sources, and filter it based on user input. The filtered data is then analyzed through the generative AI model to generate an optimal travel plan for the user. 【0314】 The sightseeing plan is provided to the user's device in real time, and the user can view the suggested plan through the device's display or the AR function of smart glasses. Users can also modify the sightseeing plan by entering customization requests into the system. The server reflects these changes and regenerates and re-presents the sightseeing plan according to the latest information and user requests. 【0315】 Furthermore, visualization utilizing augmented reality technology allows users to view detailed information about local tourist attractions right before their eyes. This visualization technology is achieved using Microsoft HoloLens or similar devices. 【0316】 As a concrete example, if a female user in her 30s who loves art visits an urban area, the system will suggest a plan of visiting museums and art shops that avoid crowds, based on her information. Furthermore, if the user wants to add a café hopping activity, the server can receive the request and instantly update the sightseeing plan. In this case, the following prompt is entered into the generating AI model: "A female user in her 30s wants to visit art exhibitions and cafés in Tokyo. Based on current weather and traffic information, please prepare the optimal sightseeing plan that avoids crowds." 【0317】 This allows users to enjoy an optimal travel experience that perfectly fits their individual preferences and real-time circumstances. 【0318】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0319】 Step 1: 【0320】 The user uses a device to enter user information such as age, gender, and hobbies. The device temporarily stores this information and prepares to send it to the server. This input information will then become key data for generating the sightseeing plan. 【0321】 Step 2: 【0322】 The server collects data from multiple sources, including tourist attractions, traffic information, weather information, and event information. Here, APIs (e.g., Google Maps API and OpenWeatherMap API) are used to collect real-time information. The collected data is stored in a database and used in subsequent filtering processes. 【0323】 Step 3: 【0324】 The server filters the collected data based on user information. As a data processing step, it extracts only tourist spots based on the user's hobbies and preferences. For example, a user who likes art exhibitions will have priority given to information on art galleries and museums. This processed data is then sent to a generating AI model. 【0325】 Step 4: 【0326】 The server uses a generation AI model to generate a sightseeing plan based on filtered data. The inputs here are filtered tourist destination information and user preference information. The generation AI model utilizes prompts to suggest the optimal sightseeing route and schedule for the user. This generated plan is temporarily stored. 【0327】 Step 5: 【0328】 The server sends the generated sightseeing plan to the terminal and presents it to the user. The user can view the details of the proposed plan on the terminal's display. This is the stage where the user visually confirms the presented information and considers any customization requests as needed. 【0329】 Step 6: 【0330】 Users can request customizations to the proposed sightseeing plan. For example, they can send requests from their device to the server to add places to visit or adjust the time slots. This customization information is received by the server, and preparations for the readjustment process begin. 【0331】 Step 7: 【0332】 The server regenerates the sightseeing plan based on the customization request. Using the regeneration mechanism, the sightseeing plan is updated based on the user's request and the latest real-time data. During this process, prompt messages are used again to incorporate the latest information. This newly generated plan is then resent to the user's terminal. 【0333】 Step 8: 【0334】 Users can review their latest travel plans on their devices and make adjustments until they are satisfied. Furthermore, they can enable a feature that visualizes detailed information about specific spots using augmented reality technology. This allows users to virtually experience the places they plan to visit in advance. 【0335】 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. 【0336】 The system of this invention provides an optimal sightseeing plan that avoids crowds, based on the user's personality, preferences, and even emotional state. The user inputs user information such as age, gender, and hobbies via a terminal. This initial information serves as the starting point for the subsequent sightseeing plan generation process. 【0337】 Furthermore, the device incorporates an emotion engine that recognizes the user's emotions in real time from their facial expressions, voice, or entered emotional states. This emotional information is sent to the server as important data for optimizing the user experience. 【0338】 The server uses the internet and dedicated information sources to collect information such as tourist attractions, transportation information, weather forecasts, and event details. The collected data is filtered based on the user's interests and emotional state. For example, if the user wants to relax, tourist destinations with quiet environments will be prioritized. 【0339】 The generated sightseeing plan is constructed via an AI model and adjusted to take into account the user's emotions and environmental conditions. The device then presents this sightseeing plan to the user. The plan includes sightseeing spots to visit, transportation methods, and a schedule. 【0340】 For example, if a user is feeling stressed, the server might include a nature-filled park or a relaxing spa in the sightseeing plan. Furthermore, the emotion engine can analyze user feedback in real time and readjust the plan based on user satisfaction and feedback. 【0341】 This system not only considers user interests and congestion levels, but also enables flexible planning that reflects the user's emotional state, providing a unique and personalized sightseeing experience. 【0342】 The following describes the processing flow. 【0343】 Step 1: 【0344】 The user uses their device to input their age, gender, hobbies, and current emotional state. This emotional state input can be done via voice or text through the emotion engine. 【0345】 Step 2: 【0346】 The terminal collects the entered user information and sentiment data and sends it to the server. This prepares the server to process the data based on the user's current state. 【0347】 Step 3: 【0348】 The server collects information such as tourist attractions, traffic information, weather forecasts, and event information from the internet and stores it as real-time data. This information is used for planning that meets the user's needs. 【0349】 Step 4: 【0350】 The server filters the collected data based on the user's hobbies and emotional state. It considers the emotional state indicated by the emotion engine, selecting a quiet and calm location if, for example, relaxation is needed. 【0351】 Step 5: 【0352】 The server utilizes a generative AI model to generate sightseeing plans based on filtered data and emotional information. These sightseeing plans are optimized to take the user's emotions into consideration. 【0353】 Step 6: 【0354】 The terminal visually displays the sightseeing plan received from the server to the user. The user can then review the suggested travel route and destinations and begin activities based on it. 【0355】 Step 7: 【0356】 Users can provide feedback on the proposed plan. This feedback is used to capture changes in the user's emotions using an emotion engine, and is utilized to further increase user satisfaction. 【0357】 Step 8: 【0358】 The server analyzes user feedback and changing emotions using an emotion engine, and readjusts the sightseeing plan as needed. The adjusted plan is then sent back to the terminal and presented to the user. 【0359】 Step 9: 【0360】 Users approve the final plan and then execute their trip based on it. Once all the itineraries are complete, users can evaluate the overall experience through an emotional engine, which helps them plan their next trip. 【0361】 (Example 2) 【0362】 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". 【0363】 Conventional tourism planning systems struggle to provide flexible plans that adequately reflect users' individuality and emotional states, resulting in difficulties in delivering the optimal tourism experience for each user. Furthermore, plans that do not take into account real-time emotional changes cannot improve user satisfaction. 【0364】 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. 【0365】 In this invention, the server includes input means for inputting user characteristics, information gathering means for collecting information from multiple information sources, information processing means for filtering the collected information based on user characteristics and emotional state, adjustment means for adjusting the sightseeing experience plan using a generative AI model, and reconstruction means for reconstructing the sightseeing experience plan based on user feedback. This makes it possible to provide flexible and personalized sightseeing plans based on the user's individual characteristics and real-time emotional state. 【0366】 "User characteristics" refer to individual user information such as age, gender, and hobbies, and this information is used to customize the tourist experience plan. 【0367】 "Input method" refers to an interface that allows users to provide their information and feedback to the system, and includes keyboards, touchscreens, and other similar devices. 【0368】 "Information gathering means" refers to a system for obtaining relevant information from multiple sources and storing it in a database. 【0369】 "Information processing means" refers to the process of selecting collected information based on user characteristics and emotional states, and providing only the most relevant information to the user. 【0370】 "Generative means" refers to the process of creating a tourist experience plan based on filtered information, and involves the use of a generative AI model. 【0371】 "Adjustment methods" refer to the process of optimizing or modifying the generated tourist experience plan in response to user feedback and their emotional state at that time. 【0372】 "Reconstruction means" refers to the process of modifying and recreating tourist experience plans in response to user feedback and emotional states. 【0373】 "Means of delivery" refers to the interface and process that presents the generated tourism experience plan to the user in an easy-to-understand format. 【0374】 "Emotional state" refers to the state of emotions perceived from the user's facial expressions, voice, and actions, and is an important element for the system to provide a plan that meets the user's needs. 【0375】 A "generative AI model" refers to artificial intelligence technology used to create tourism experience plans based on collected information and user characteristics. 【0376】 The system of this invention provides a suitable tourism experience based on the user's personality and emotional state. To achieve this, a terminal, a server, and a generative AI model work in coordination. 【0377】 First, the user inputs information about their personality, such as age, gender, and hobbies, via the device. This input is done using common input devices such as keyboards and touchscreens. Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice to recognize their emotional state in real time. Specifically, the hardware includes a camera and microphone, while the emotion analysis algorithm operates as software. 【0378】 Next, the server collects information such as tourist attractions, transportation information, weather forecasts, and event details from the internet and dedicated information sources. Information collection technologies such as APIs and web scraping are used. The collected data is stored in a database system and filtered based on the user's personality and emotional state. For example, for a user who wants to relax, information on quiet tourist destinations and places with abundant nature is prioritized. 【0379】 Subsequently, the server uses the generated AI model to plan the tourist experience. Based on the user's information and filtered data, the AI ​​model generates an individually optimized plan. In this process, an example of a prompt statement is provided to the AI ​​model: "Please suggest places where I can relax to relieve stress." 【0380】 Finally, the generated travel experience plan is delivered to the user via their device. The user can receive a detailed plan including sightseeing spots, transportation, and schedule. If the user's emotional state changes in real time or if there is feedback from the user, the server can restructure the plan and present the user with an updated plan on demand. 【0381】 In this way, the system takes into account the user's individual needs and real-time emotional state to provide a personalized travel experience. 【0382】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0383】 Step 1: 【0384】 Users input personal information such as their age, gender, and hobbies via their device. The device stores this information as personal data and passes it on to the next processing step. The input data is categorized, and a basic dataset for generating travel plans is created. 【0385】 Step 2: 【0386】 The emotion engine built into the device analyzes the user's facial expressions and voice. This allows for real-time recognition of the emotional state, which is then output as emotion data. Specifically, data obtained from the camera and microphone is analyzed to generate a numerical emotion score. 【0387】 Step 3: 【0388】 The server collects information such as tourist attractions, transportation information, weather forecasts, and event details from the internet and dedicated information sources. It uses an API to gather this information and store it in a database. Input data consists of the latest information from external sources, and output is the storage of data in the information database. 【0389】 Step 4: 【0390】 The server uses the collected information to filter results using user personality and emotional data. Here, it selects tourist destinations and events that match the user's purpose, such as relaxation. A prompt message like "Please suggest places where I can relax to relieve stress" is fed into the AI ​​model, and the filtered results are output. 【0391】 Step 5: 【0392】 The server uses a generative AI model to create a travel plan. Taking filtered information and prompts as input, the model constructs an optimal travel experience plan and outputs specific plan data. The generated plan includes places to visit, modes of transportation, and a schedule. 【0393】 Step 6: 【0394】 The terminal presents the generated sightseeing plan to the user. The plan details are displayed on the screen, allowing the user to recognize them. The user then prepares to take action based on the provided plan. 【0395】 Step 7: 【0396】 Users input feedback using a device. The device sends this feedback, along with their emotional state and requests, to the server. The input feedback is treated as data to help improve the system and is used to develop future plans. 【0397】 Step 8: 【0398】 The server reconstructs the sightseeing plan based on user feedback and real-time sentiment data. It uses a generative AI model to readjust the plan as needed and sends the updated plan data to the user's device. This ensures that users always have the latest and most optimal sightseeing experience. 【0399】 (Application Example 2) 【0400】 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." 【0401】 Current tourism plan provision systems have the problem of only being able to offer standardized plans without adequately considering the individuality and feelings of users. As a result, it is difficult to provide tourism experiences that meet user expectations, which may lead to a decrease in user satisfaction. In addition, because they cannot respond flexibly based on real-time information, they are susceptible to sudden weather changes and congestion levels. 【0402】 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. 【0403】 In this invention, the server includes an information input means for inputting user information, an emotion analysis means for recognizing the user's emotional state, and a plan generation means for generating a sightseeing plan that takes real-time circumstances into consideration. This allows for the provision of a sightseeing plan optimized for the user's personality and emotional state, and enables appropriate readjustment of the plan according to the situation. 【0404】 "Information input means" refers to a device or software used by a user to input personal information, preferences, emotional states, and other similar information. 【0405】 "Information gathering means" refers to devices or software that collect data such as tourist spots, transportation information, and weather forecasts from multiple sources. 【0406】 "Emotion analysis means" refers to a device or software for recognizing a user's emotional state from their facial expressions or voice. 【0407】 "Data processing means" refers to a device or software that filters collected data based on user information and emotional state and converts it into appropriate information. 【0408】 "Plan generation means" refers to a device or software that generates a tourist plan using filtered data, user information, and emotional state. 【0409】 "Information presentation means" refers to a device or software for presenting a generated sightseeing plan to a user. 【0410】 "Planning adjustment means" refers to a device or software that readjusts the sightseeing plan based on user feedback. 【0411】 To realize this invention, it is necessary to design a system that allows users to generate and adjust sightseeing plans using a device such as a smartphone. This system is constructed as follows: 【0412】 Users input their personal information, preferences, and emotional states through a smartphone application using an input method. The entered data is processed on the device before being sent to the server. 【0413】 The server uses information gathering tools to collect relevant tourist information, traffic information, and weather forecasts from the internet and dedicated information sources. This includes a backend system using Python and Flask, as well as external information sources such as the OpenWeatherMap API. 【0414】 Subsequently, emotion analysis tools recognize the user's emotional state using data acquired in real time from the camera and microphone. This process utilizes machine learning models such as TensorFlow. 【0415】 The data processing system filters the collected information based on user information and emotional state. In this process, the filtered information is passed to the subsequent plan generation system, for example, prioritizing quiet tourist destinations when the user is seeking relaxation. 【0416】 The plan generation method uses a generative AI model to construct an optimal sightseeing plan for the user based on filtered information. This plan includes details such as sightseeing spots to visit, transportation methods, and schedules. 【0417】 Finally, the information presentation system displays the generated sightseeing plan to the user via the terminal, and the plan adjustment system flexibly reconstructs the plan based on the user's feedback. Through this process, the user can obtain the optimal plan that suits their real-time situation and emotions. 【0418】 For example, if a user is feeling stressed, the server might suggest a sightseeing plan such as, "I suggest visiting a quiet park and relaxing by enjoying nature." Such plans are constructed using an example prompt statement based on a generative AI model, such as, "Suggest a good tourist destination if the user is looking to relax." 【0419】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0420】 Step 1: 【0421】 Users input personal information, preferences, and emotional states using their devices. This data is stored in a database on the device via the input method. This allows for the collection of the user's basic information, which can then be used in subsequent processes. 【0422】 Step 2: 【0423】 The device uses a camera and microphone to capture the user's facial expressions and voice in real time. This data is processed by an emotion analysis system, and a machine learning model is used to recognize the user's emotional state. This recognized data is sent to a server as an emotional state. 【0424】 Step 3: 【0425】 The server uses information gathering tools to collect tourist information, traffic information, and weather data from the internet. This involves utilizing external APIs to obtain various data in formats such as JSON and storing it on the server. 【0426】 Step 4: 【0427】 The server uses data processing tools to filter the collected information based on user information and emotional state. This optimizes the filtered information for plan generation, eliminating irrelevant data. 【0428】 Step 5: 【0429】 The server uses a generation AI model to construct an optimal sightseeing plan for the user based on filtered information. It operates the AI ​​model using specific prompts to create a detailed plan including destinations and transportation. 【0430】 Step 6: 【0431】 The terminal presents the generated sightseeing plan to the user using an information display device. The user can review this plan and provide feedback as needed. 【0432】 Step 7: 【0433】 The server reconstructs the plan using planning adjustment mechanisms based on user feedback. By reflecting the user's emotional state and real-time circumstances, it is possible to provide a timely updated plan. 【0434】 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. 【0435】 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. 【0436】 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. 【0437】 [Third Embodiment] 【0438】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0439】 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. 【0440】 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). 【0441】 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. 【0442】 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. 【0443】 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). 【0444】 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. 【0445】 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. 【0446】 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. 【0447】 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. 【0448】 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. 【0449】 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". 【0450】 The system of this invention provides sightseeing plans that avoid crowds based on the user's personality and preferences. Users input user information such as age, gender, and hobbies via a terminal. This information is used as key data to understand the user's specific preferences. 【0451】 The server collects various types of data through the internet and dedicated information sources. This data includes details about tourist attractions, transportation information, weather forecasts, and event information. After collection, the server filters the data based on the information entered by the user and extracts areas and spots that match the user's interests. 【0452】 Next, the server uses a generative AI model to generate a sightseeing plan, leveraging the filtered data and user information. This process takes into account factors such as expected crowd levels and weather conditions to provide the user with the best possible experience. 【0453】 The generated sightseeing plan is presented to the user via their device. The user can not only view the proposed plan but also customize and adjust it as needed. Based on the user's request, the server reuses the AI ​​model to generate a revised plan. 【0454】 For example, if a female user in her 30s wants to visit art museums and go shopping, the server will include unique local art galleries and new shopping malls in the plan, rather than crowded, well-known museums on weekends. If the user wants to customize the presented plan, they can also change the lunch location to a specific cafe. 【0455】 This system takes into account user preferences and real-time circumstances, providing users with the most stress-free and enjoyable travel experience. It also aims to distribute the overall economic impact by preventing over-reliance on specific tourist spots. 【0456】 The following describes the processing flow. 【0457】 Step 1: 【0458】 Users operate a terminal to input personal information such as their age, gender, and hobbies. This information will serve as the basis for generating travel plans later on. 【0459】 Step 2: 【0460】 The terminal sends the entered user information to the server. This data transmission allows the server to begin processing the data based on the user's preferences. 【0461】 Step 3: 【0462】 The server collects various types of data, such as tourist information, traffic conditions, weather forecasts, and event information, using the internet and dedicated information sources. This collected data is then filtered according to the user's needs. 【0463】 Step 4: 【0464】 The server filters the collected data based on user information. The server processes data according to the user's interests and current situation in order to select less crowded spots and activities that are suitable for the weather. 【0465】 Step 5: 【0466】 The server uses a generative AI model to generate optimal sightseeing plans from filtered data and user information. Because the generated plans take into account user preferences and real-time conditions, they can provide the best possible experience. 【0467】 Step 6: 【0468】 The terminal displays a sightseeing plan provided by the server to the user in a visualized format. The user can review this plan and, if satisfied with its contents, can adopt it as is. 【0469】 Step 7: 【0470】 Users can customize the presented plan as needed. For example, they can change the priority of destinations or add or remove specific spots. 【0471】 Step 8: 【0472】 The server receives customization requests from users and readjusts the plan using a generated AI model. It then sends the adjusted plan to the device for the user to make a final confirmation. 【0473】 Step 9: 【0474】 Users can review their final plan and proceed with their sightseeing preparations based on it. The device also provides the ability to save and print out the plan. 【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】 Modern travelers seek personalized travel plans, yet are often heavily influenced by real-time conditions such as crowds and weather. Furthermore, relying solely on popular tourist spots makes it difficult to efficiently discover new experiences and hidden gems. This creates a need for a system that allows for flexible and rapid adjustment of travel plans. 【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】 In this invention, the server includes receiving means for inputting user attributes, information gathering means for acquiring information from multiple data sources, and data processing means for selecting the acquired information based on user attributes. This enables the automatic generation and adjustment of sightseeing plans that are tailored to the user's personality and preferences and can be adapted to a real-time environment. 【0480】 "User attributes" refer to personal information such as a user's age, gender, and hobbies, and are basic data used to understand a user's personality and preferences. 【0481】 A "receiving means" is a technical element equipped with the function of inputting and acquiring attribute information from a user. 【0482】 "Information gathering means" refers to technical means that have the function of obtaining detailed data on tourism from multiple sources. 【0483】 "Data processing means" refers to technologies that perform a process of filtering collected information based on user attributes and selecting highly relevant data. 【0484】 A "generative AI model" is a machine learning algorithm used to construct tourism plans based on collected and processed data, and it has the ability to generate responses to prompts. 【0485】 A "prompt statement" is a text containing questions or instructions that serve as guidelines for the generating AI model when creating a tourist plan. 【0486】 "Situational considerations" refer to a system function used to adjust sightseeing plans by taking into account real-time congestion levels and weather conditions. 【0487】 "Display means" refers to technical elements for visually presenting the generated sightseeing plan to the user. 【0488】 "Modification mechanisms" refer to technical functions that allow existing sightseeing plans to be modified and adjusted according to user requests. 【0489】 The system of this invention is designed to provide sightseeing plans based on the user's personality and preferences. Users input user attributes such as age, gender, and hobbies via a terminal. This information is collected and analyzed by a server. The software used includes a database system for managing user information and an API connection function for collecting real-time data. 【0490】 The server uses information gathering tools to acquire data from various sources, including tourist spot information, traffic conditions, weather forecasts, and event information. The database used in this process is designed to efficiently manage and access tourism-related data. Furthermore, the collected information is filtered based on user attributes using data processing tools. In particular, the generative AI model utilizes the filtering results to generate tourism plans tailored to the user's interests. The software used includes a generative AI model based on machine learning algorithms. 【0491】 The generated sightseeing plan is displayed on the device and presented to the user. The user can view the plan and request customization or changes as needed. The server instructs the AI ​​model through prompt messages to regenerate the optimal plan according to the user's requests. 【0492】 As a concrete example, if a female user in her 30s wants to visit art museums and go shopping, the server uses a generative AI model to select available tourist spots, taking into account traffic information and weather conditions. It avoids popular spots that are crowded on weekends and proposes a plan that includes hidden art galleries and new shopping malls. Furthermore, if the user specifically requests, "I want to take a break at a cafe at 2 PM," they can input "Please select a cafe that is open at 2 PM" as a prompt and receive detailed suggestions from the AI ​​model. 【0493】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0494】 Step 1: 【0495】 The user enters attribute information such as age, gender, and hobbies into the terminal. This entered information forms the basis for the first processing step. The terminal formats this user input data and prepares it for transmission to the server. 【0496】 Step 2: 【0497】 Based on the received user attributes, the server retrieves information on tourist spots, traffic conditions, weather forecasts, event information, and more via the internet or a dedicated API. The retrieved data is stored in a database and used as material for customization based on user attributes. 【0498】 Step 3: 【0499】 The server takes user attribute information as input and filters the tourism-related data stored in the database. Using an algorithm, it selects tourist destinations and event information that are associated with the user's hobbies and attributes. This filtering process extracts the information that is most relevant to the user. 【0500】 Step 4: 【0501】 The server receives filtered data and user information as input and generates a travel plan using a generative AI model. During this generation process, instructions are sent to the AI ​​model through prompt messages. The AI ​​calculates the optimal plan for the user, taking into account factors such as congestion and weather forecasts. The generated plan is a detailed travel suggestion that includes a series of actions and the order of visits. 【0502】 Step 5: 【0503】 The terminal visualizes the sightseeing plan received from the server and presents it to the user. The user checks the proposed plan and requests customization or adjustments as needed. This request is sent to the server and processed again. 【0504】 Step 6: 【0505】 The server processes the user's request, reusing the generated AI model as needed to create a revised sightseeing plan. This process takes into account the user's new requests, creating a more detailed and customized plan. The generated revised plan is then provided to the user again via the terminal to serve as the basis for obtaining final consent. 【0506】 (Application Example 1) 【0507】 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." 【0508】 In modern tourism, there is a demand for providing optimal sightseeing plans tailored to individual user preferences and real-time conditions. However, conventional systems have struggled to immediately reflect user requests and make real-time adjustments and customizations. As a result, they have been inadequate in responding to congestion at tourist destinations and changes in weather, leading to decreased user satisfaction. Therefore, a system that provides more flexible and personalized sightseeing plans is needed to improve user satisfaction. 【0509】 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. 【0510】 In this invention, the server includes input means for inputting user information, data collection means for collecting data from multiple information sources, data processing means for filtering the collected data based on user information, adjustment means for readjusting the sightseeing plan in real time based on tourist destinations and transportation information, presentation means for providing the generated sightseeing plan to the user, regeneration means for accepting customization requests from the user and regenerating the sightseeing plan, and visualization means for visualizing the details of tourist spots to the user using augmented reality technology. This makes it possible to provide personalized sightseeing plans that are tailored to the user's preferences and real-time circumstances, thereby improving the user experience. 【0511】 "User information" refers to information that indicates a user's individual characteristics and preferences, including age, gender, hobbies, etc. 【0512】 "Input means" refers to a device or method for receiving information from a user, such as using a keyboard or touchscreen on a terminal. 【0513】 "Data collection means" refers to devices or methods for collecting necessary data from the internet or dedicated information sources. 【0514】 "Data processing means" refers to a device or method for organizing, classifying, or filtering collected data based on user information. 【0515】 "Generation means" refers to an apparatus or method for creating a tourist plan suitable for a user based on filtered data. 【0516】 "Adjustment means" refers to a device or method for modifying a tourist plan based on tourist destinations, transportation information, and user requests. 【0517】 "Presentation means" refers to a device or method for conveying a generated sightseeing plan to a user, and which uses a display or audio output. 【0518】 A "regeneration means" is a device or method for updating a tourist plan in response to a user's customization request. 【0519】 "Visualization means" refers to a device or method for displaying detailed information about a tourist spot to the user's eyes using augmented reality technology. 【0520】 The system of this invention is based on the premise that it has a terminal for accurately inputting user information and an internet connection environment. The terminal includes devices such as smartphones and smart glasses, and the user provides information such as age, gender, and hobbies through these devices. 【0521】 The server is configured in a cloud environment and includes means for data collection, processing, generation, adjustment, presentation, regeneration, and visualization. The server utilizes Google Cloud Functions and AWS Lambda, and leverages generative AI models such as OpenAI's GPT-4. This allows the server to collect data on tourist attractions, traffic information, weather information, etc., from the internet and other dedicated information sources, and filter it based on user input. The filtered data is then analyzed through the generative AI model to generate an optimal travel plan for the user. 【0522】 The sightseeing plan is provided to the user's device in real time, and the user can view the suggested plan through the device's display or the AR function of smart glasses. Users can also modify the sightseeing plan by entering customization requests into the system. The server reflects these changes and regenerates and re-presents the sightseeing plan according to the latest information and user requests. 【0523】 Furthermore, visualization utilizing augmented reality technology allows users to view detailed information about local tourist attractions right before their eyes. This visualization technology is achieved using Microsoft HoloLens or similar devices. 【0524】 As a concrete example, if a female user in her 30s who loves art visits an urban area, the system will suggest a plan of visiting museums and art shops that avoid crowds, based on her information. Furthermore, if the user wants to add a café hopping activity, the server can receive the request and instantly update the sightseeing plan. In this case, the following prompt is entered into the generating AI model: "A female user in her 30s wants to visit art exhibitions and cafés in Tokyo. Based on current weather and traffic information, please prepare the optimal sightseeing plan that avoids crowds." 【0525】 This allows users to enjoy an optimal travel experience that perfectly fits their individual preferences and real-time circumstances. 【0526】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0527】 Step 1: 【0528】 The user uses a device to enter user information such as age, gender, and hobbies. The device temporarily stores this information and prepares to send it to the server. This input information will then become key data for generating the sightseeing plan. 【0529】 Step 2: 【0530】 The server collects data from multiple sources, including tourist attractions, traffic information, weather information, and event information. Here, APIs (e.g., Google Maps API and OpenWeatherMap API) are used to collect real-time information. The collected data is stored in a database and used in subsequent filtering processes. 【0531】 Step 3: 【0532】 The server filters the collected data based on user information. As a data processing step, it extracts only tourist spots based on the user's hobbies and preferences. For example, a user who likes art exhibitions will have priority given to information on art galleries and museums. This processed data is then sent to a generating AI model. 【0533】 Step 4: 【0534】 The server uses a generation AI model to generate a sightseeing plan based on filtered data. The inputs here are filtered tourist destination information and user preference information. The generation AI model utilizes prompts to suggest the optimal sightseeing route and schedule for the user. This generated plan is temporarily stored. 【0535】 Step 5: 【0536】 The server sends the generated sightseeing plan to the terminal and presents it to the user. The user can view the details of the proposed plan on the terminal's display. This is the stage where the user visually confirms the presented information and considers any customization requests as needed. 【0537】 Step 6: 【0538】 Users can request customizations to the proposed sightseeing plan. For example, they can send requests from their device to the server to add places to visit or adjust the time slots. This customization information is received by the server, and preparations for the readjustment process begin. 【0539】 Step 7: 【0540】 The server regenerates the sightseeing plan based on the customization request. Using the regeneration mechanism, the sightseeing plan is updated based on the user's request and the latest real-time data. During this process, prompt messages are used again to incorporate the latest information. This newly generated plan is then resent to the user's terminal. 【0541】 Step 8: 【0542】 Users can review their latest travel plans on their devices and make adjustments until they are satisfied. Furthermore, they can enable a feature that visualizes detailed information about specific spots using augmented reality technology. This allows users to virtually experience the places they plan to visit in advance. 【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】 The system of this invention provides an optimal sightseeing plan that avoids crowds, based on the user's personality, preferences, and even emotional state. The user inputs user information such as age, gender, and hobbies via a terminal. This initial information serves as the starting point for the subsequent sightseeing plan generation process. 【0545】 Furthermore, the device incorporates an emotion engine that recognizes the user's emotions in real time from their facial expressions, voice, or entered emotional states. This emotional information is sent to the server as important data for optimizing the user experience. 【0546】 The server uses the internet and dedicated information sources to collect information such as tourist attractions, transportation information, weather forecasts, and event details. The collected data is filtered based on the user's interests and emotional state. For example, if the user wants to relax, tourist destinations with quiet environments will be prioritized. 【0547】 The generated sightseeing plan is constructed via an AI model and adjusted to take into account the user's emotions and environmental conditions. The device then presents this sightseeing plan to the user. The plan includes sightseeing spots to visit, transportation methods, and a schedule. 【0548】 For example, if a user is feeling stressed, the server might include a nature-filled park or a relaxing spa in the sightseeing plan. Furthermore, the emotion engine can analyze user feedback in real time and readjust the plan based on user satisfaction and feedback. 【0549】 This system not only considers user interests and congestion levels, but also enables flexible planning that reflects the user's emotional state, providing a unique and personalized sightseeing experience. 【0550】 The following describes the processing flow. 【0551】 Step 1: 【0552】 The user uses their device to input their age, gender, hobbies, and current emotional state. This emotional state input can be done via voice or text through the emotion engine. 【0553】 Step 2: 【0554】 The terminal collects the entered user information and sentiment data and sends it to the server. This prepares the server to process the data based on the user's current state. 【0555】 Step 3: 【0556】 The server collects information such as tourist attractions, traffic information, weather forecasts, and event information from the internet and stores it as real-time data. This information is used for planning that meets the user's needs. 【0557】 Step 4: 【0558】 The server filters the collected data based on the user's hobbies and emotional state. It considers the emotional state indicated by the emotion engine, selecting a quiet and calm location if, for example, relaxation is needed. 【0559】 Step 5: 【0560】 The server utilizes a generative AI model to generate sightseeing plans based on filtered data and emotional information. These sightseeing plans are optimized to take the user's emotions into consideration. 【0561】 Step 6: 【0562】 The terminal visually displays the sightseeing plan received from the server to the user. The user can then review the suggested travel route and destinations and begin activities based on it. 【0563】 Step 7: 【0564】 Users can provide feedback on the proposed plan. This feedback is used to capture changes in the user's emotions using an emotion engine, and is utilized to further increase user satisfaction. 【0565】 Step 8: 【0566】 The server analyzes user feedback and changing emotions using an emotion engine, and readjusts the sightseeing plan as needed. The adjusted plan is then sent back to the terminal and presented to the user. 【0567】 Step 9: 【0568】 Users approve the final plan and then execute their trip based on it. Once all the itineraries are complete, users can evaluate the overall experience through an emotional engine, which helps them plan their next trip. 【0569】 (Example 2) 【0570】 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." 【0571】 Conventional tourism planning systems struggle to provide flexible plans that adequately reflect users' individuality and emotional states, resulting in difficulties in delivering the optimal tourism experience for each user. Furthermore, plans that do not take into account real-time emotional changes cannot improve user satisfaction. 【0572】 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. 【0573】 In this invention, the server includes input means for inputting user characteristics, information gathering means for collecting information from multiple information sources, information processing means for filtering the collected information based on user characteristics and emotional state, adjustment means for adjusting the sightseeing experience plan using a generative AI model, and reconstruction means for reconstructing the sightseeing experience plan based on user feedback. This makes it possible to provide flexible and personalized sightseeing plans based on the user's individual characteristics and real-time emotional state. 【0574】 "User characteristics" refer to individual user information such as age, gender, and hobbies, and this information is used to customize the tourist experience plan. 【0575】 "Input method" refers to an interface that allows users to provide their information and feedback to the system, and includes keyboards, touchscreens, and other similar devices. 【0576】 "Information gathering means" refers to a system for obtaining relevant information from multiple sources and storing it in a database. 【0577】 "Information processing means" refers to the process of selecting collected information based on user characteristics and emotional states, and providing only the most relevant information to the user. 【0578】 "Generative means" refers to the process of creating a tourist experience plan based on filtered information, and involves the use of a generative AI model. 【0579】 "Adjustment methods" refer to the process of optimizing or modifying the generated tourist experience plan in response to user feedback and their emotional state at that time. 【0580】 "Reconstruction means" refers to the process of modifying and recreating tourist experience plans in response to user feedback and emotional states. 【0581】 "Means of delivery" refers to the interface and process that presents the generated tourism experience plan to the user in an easy-to-understand format. 【0582】 "Emotional state" refers to the state of emotions perceived from the user's facial expressions, voice, and actions, and is an important element for the system to provide a plan that meets the user's needs. 【0583】 A "generative AI model" refers to artificial intelligence technology used to create tourism experience plans based on collected information and user characteristics. 【0584】 The system of this invention provides a suitable tourism experience based on the user's personality and emotional state. To achieve this, a terminal, a server, and a generative AI model work in coordination. 【0585】 First, the user inputs information about their personality, such as age, gender, and hobbies, via the device. This input is done using common input devices such as keyboards and touchscreens. Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice to recognize their emotional state in real time. Specifically, the hardware includes a camera and microphone, while the emotion analysis algorithm operates as software. 【0586】 Next, the server collects information such as tourist attractions, transportation information, weather forecasts, and event details from the internet and dedicated information sources. Information collection technologies such as APIs and web scraping are used. The collected data is stored in a database system and filtered based on the user's personality and emotional state. For example, for a user who wants to relax, information on quiet tourist destinations and places with abundant nature is prioritized. 【0587】 Subsequently, the server uses the generated AI model to plan the tourist experience. Based on the user's information and filtered data, the AI ​​model generates an individually optimized plan. In this process, an example of a prompt statement is provided to the AI ​​model: "Please suggest places where I can relax to relieve stress." 【0588】 Finally, the generated travel experience plan is delivered to the user via their device. The user can receive a detailed plan including sightseeing spots, transportation, and schedule. If the user's emotional state changes in real time or if there is feedback from the user, the server can restructure the plan and present the user with an updated plan on demand. 【0589】 In this way, the system takes into account the user's individual needs and real-time emotional state to provide a personalized travel experience. 【0590】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0591】 Step 1: 【0592】 Users input personal information such as their age, gender, and hobbies via their device. The device stores this information as personal data and passes it on to the next processing step. The input data is categorized, and a basic dataset for generating travel plans is created. 【0593】 Step 2: 【0594】 The emotion engine built into the device analyzes the user's facial expressions and voice. This allows for real-time recognition of the emotional state, which is then output as emotion data. Specifically, data obtained from the camera and microphone is analyzed to generate a numerical emotion score. 【0595】 Step 3: 【0596】 The server collects information such as tourist attractions, transportation information, weather forecasts, and event details from the internet and dedicated information sources. It uses an API to gather this information and store it in a database. Input data consists of the latest information from external sources, and output is the storage of data in the information database. 【0597】 Step 4: 【0598】 The server uses the collected information to filter results using user personality and emotional data. Here, it selects tourist destinations and events that match the user's purpose, such as relaxation. A prompt message like "Please suggest places where I can relax to relieve stress" is fed into the AI ​​model, and the filtered results are output. 【0599】 Step 5: 【0600】 The server uses a generative AI model to create a travel plan. Taking filtered information and prompts as input, the model constructs an optimal travel experience plan and outputs specific plan data. The generated plan includes places to visit, modes of transportation, and a schedule. 【0601】 Step 6: 【0602】 The terminal presents the generated sightseeing plan to the user. The plan details are displayed on the screen, allowing the user to recognize them. The user then prepares to take action based on the provided plan. 【0603】 Step 7: 【0604】 Users input feedback using a device. The device sends this feedback, along with their emotional state and requests, to the server. The input feedback is treated as data to help improve the system and is used to develop future plans. 【0605】 Step 8: 【0606】 The server reconstructs the sightseeing plan based on user feedback and real-time sentiment data. It uses a generative AI model to readjust the plan as needed and sends the updated plan data to the user's device. This ensures that users always have the latest and most optimal sightseeing experience. 【0607】 (Application Example 2) 【0608】 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." 【0609】 Current tourism plan provision systems have the problem of only being able to offer standardized plans without adequately considering the individuality and feelings of users. As a result, it is difficult to provide tourism experiences that meet user expectations, which may lead to a decrease in user satisfaction. In addition, because they cannot respond flexibly based on real-time information, they are susceptible to sudden weather changes and congestion levels. 【0610】 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. 【0611】 In this invention, the server includes an information input means for inputting user information, an emotion analysis means for recognizing the user's emotional state, and a plan generation means for generating a sightseeing plan that takes real-time circumstances into consideration. This allows for the provision of a sightseeing plan optimized for the user's personality and emotional state, and enables appropriate readjustment of the plan according to the situation. 【0612】 "Information input means" refers to a device or software used by a user to input personal information, preferences, emotional states, and other similar information. 【0613】 "Information gathering means" refers to devices or software that collect data such as tourist spots, transportation information, and weather forecasts from multiple sources. 【0614】 "Emotion analysis means" refers to a device or software for recognizing a user's emotional state from their facial expressions or voice. 【0615】 "Data processing means" refers to a device or software that filters collected data based on user information and emotional state and converts it into appropriate information. 【0616】 "Plan generation means" refers to a device or software that generates a tourist plan using filtered data, user information, and emotional state. 【0617】 "Information presentation means" refers to a device or software for presenting a generated sightseeing plan to a user. 【0618】 "Planning adjustment means" refers to a device or software that readjusts the sightseeing plan based on user feedback. 【0619】 To realize this invention, it is necessary to design a system that allows users to generate and adjust sightseeing plans using a device such as a smartphone. This system is constructed as follows: 【0620】 Users input their personal information, preferences, and emotional states through a smartphone application using an input method. The entered data is processed on the device before being sent to the server. 【0621】 The server uses information gathering tools to collect relevant tourist information, traffic information, and weather forecasts from the internet and dedicated information sources. This includes a backend system using Python and Flask, as well as external information sources such as the OpenWeatherMap API. 【0622】 Subsequently, emotion analysis tools recognize the user's emotional state using data acquired in real time from the camera and microphone. This process utilizes machine learning models such as TensorFlow. 【0623】 The data processing system filters the collected information based on user information and emotional state. In this process, the filtered information is passed to the subsequent plan generation system, for example, prioritizing quiet tourist destinations when the user is seeking relaxation. 【0624】 The plan generation method uses a generative AI model to construct an optimal sightseeing plan for the user based on filtered information. This plan includes details such as sightseeing spots to visit, transportation methods, and schedules. 【0625】 Finally, the information presentation system displays the generated sightseeing plan to the user via the terminal, and the plan adjustment system flexibly reconstructs the plan based on the user's feedback. Through this process, the user can obtain the optimal plan that suits their real-time situation and emotions. 【0626】 For example, if a user is feeling stressed, the server might suggest a sightseeing plan such as, "I suggest visiting a quiet park and relaxing by enjoying nature." Such plans are constructed using an example prompt statement based on a generative AI model, such as, "Suggest a good tourist destination if the user is looking to relax." 【0627】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0628】 Step 1: 【0629】 Users input personal information, preferences, and emotional states using their devices. This data is stored in a database on the device via the input method. This allows for the collection of the user's basic information, which can then be used in subsequent processes. 【0630】 Step 2: 【0631】 The device uses a camera and microphone to capture the user's facial expressions and voice in real time. This data is processed by an emotion analysis system, and a machine learning model is used to recognize the user's emotional state. This recognized data is sent to a server as an emotional state. 【0632】 Step 3: 【0633】 The server uses information gathering tools to collect tourist information, traffic information, and weather data from the internet. This involves utilizing external APIs to obtain various data in formats such as JSON and storing it on the server. 【0634】 Step 4: 【0635】 The server uses data processing tools to filter the collected information based on user information and emotional state. This optimizes the filtered information for plan generation, eliminating irrelevant data. 【0636】 Step 5: 【0637】 The server uses a generation AI model to construct an optimal sightseeing plan for the user based on filtered information. It operates the AI ​​model using specific prompts to create a detailed plan including destinations and transportation. 【0638】 Step 6: 【0639】 The terminal presents the generated sightseeing plan to the user using an information display device. The user can review this plan and provide feedback as needed. 【0640】 Step 7: 【0641】 The server reconstructs the plan using planning adjustment mechanisms based on user feedback. By reflecting the user's emotional state and real-time circumstances, it is possible to provide a timely updated plan. 【0642】 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. 【0643】 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. 【0644】 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. 【0645】 [Fourth Embodiment] 【0646】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0647】 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. 【0648】 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). 【0649】 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. 【0650】 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. 【0651】 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). 【0652】 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. 【0653】 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. 【0654】 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. 【0655】 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. 【0656】 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. 【0657】 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. 【0658】 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". 【0659】 The system of this invention provides sightseeing plans that avoid crowds based on the user's personality and preferences. Users input user information such as age, gender, and hobbies via a terminal. This information is used as key data to understand the user's specific preferences. 【0660】 The server collects various types of data through the internet and dedicated information sources. This data includes details about tourist attractions, transportation information, weather forecasts, and event information. After collection, the server filters the data based on the information entered by the user and extracts areas and spots that match the user's interests. 【0661】 Next, the server uses a generative AI model to generate a sightseeing plan, leveraging the filtered data and user information. This process takes into account factors such as expected crowd levels and weather conditions to provide the user with the best possible experience. 【0662】 The generated sightseeing plan is presented to the user via their device. The user can not only view the proposed plan but also customize and adjust it as needed. Based on the user's request, the server reuses the AI ​​model to generate a revised plan. 【0663】 For example, if a female user in her 30s wants to visit art museums and go shopping, the server will include unique local art galleries and new shopping malls in the plan, rather than crowded, well-known museums on weekends. If the user wants to customize the presented plan, they can also change the lunch location to a specific cafe. 【0664】 This system takes into account user preferences and real-time circumstances, providing users with the most stress-free and enjoyable travel experience. It also aims to distribute the overall economic impact by preventing over-reliance on specific tourist spots. 【0665】 The following describes the processing flow. 【0666】 Step 1: 【0667】 Users operate a terminal to input personal information such as their age, gender, and hobbies. This information will serve as the basis for generating travel plans later on. 【0668】 Step 2: 【0669】 The terminal sends the entered user information to the server. This data transmission allows the server to begin processing the data based on the user's preferences. 【0670】 Step 3: 【0671】 The server collects various types of data, such as tourist information, traffic conditions, weather forecasts, and event information, using the internet and dedicated information sources. This collected data is then filtered according to the user's needs. 【0672】 Step 4: 【0673】 The server filters the collected data based on user information. The server processes data according to the user's interests and current situation in order to select less crowded spots and activities that are suitable for the weather. 【0674】 Step 5: 【0675】 The server uses a generative AI model to generate optimal sightseeing plans from filtered data and user information. Because the generated plans take into account user preferences and real-time conditions, they can provide the best possible experience. 【0676】 Step 6: 【0677】 The terminal displays a sightseeing plan provided by the server to the user in a visualized format. The user can review this plan and, if satisfied with its contents, can adopt it as is. 【0678】 Step 7: 【0679】 Users can customize the presented plan as needed. For example, they can change the priority of destinations or add or remove specific spots. 【0680】 Step 8: 【0681】 The server receives customization requests from users and readjusts the plan using a generated AI model. It then sends the adjusted plan to the device for the user to make a final confirmation. 【0682】 Step 9: 【0683】 Users can review their final plan and proceed with their sightseeing preparations based on it. The device also provides the ability to save and print out the plan. 【0684】 (Example 1) 【0685】 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". 【0686】 Modern travelers seek personalized travel plans, yet are often heavily influenced by real-time conditions such as crowds and weather. Furthermore, relying solely on popular tourist spots makes it difficult to efficiently discover new experiences and hidden gems. This creates a need for a system that allows for flexible and rapid adjustment of travel plans. 【0687】 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. 【0688】 In this invention, the server includes receiving means for inputting user attributes, information gathering means for acquiring information from multiple data sources, and data processing means for selecting the acquired information based on user attributes. This enables the automatic generation and adjustment of sightseeing plans that are tailored to the user's personality and preferences and can be adapted to a real-time environment. 【0689】 "User attributes" refer to personal information such as a user's age, gender, and hobbies, and are basic data used to understand a user's personality and preferences. 【0690】 A "receiving means" is a technical element equipped with the function of inputting and acquiring attribute information from a user. 【0691】 "Information gathering means" refers to technical means that have the function of obtaining detailed data on tourism from multiple sources. 【0692】 "Data processing means" refers to technologies that perform a process of filtering collected information based on user attributes and selecting highly relevant data. 【0693】 A "generative AI model" is a machine learning algorithm used to construct tourism plans based on collected and processed data, and it has the ability to generate responses to prompts. 【0694】 A "prompt statement" is a text containing questions or instructions that serve as guidelines for the generating AI model when creating a tourist plan. 【0695】 "Situational considerations" refer to a system function used to adjust sightseeing plans by taking into account real-time congestion levels and weather conditions. 【0696】 "Display means" refers to technical elements for visually presenting the generated sightseeing plan to the user. 【0697】 "Modification mechanisms" refer to technical functions that allow existing sightseeing plans to be modified and adjusted according to user requests. 【0698】 The system of this invention is designed to provide sightseeing plans based on the user's personality and preferences. Users input user attributes such as age, gender, and hobbies via a terminal. This information is collected and analyzed by a server. The software used includes a database system for managing user information and an API connection function for collecting real-time data. 【0699】 The server uses information gathering tools to acquire data from various sources, including tourist spot information, traffic conditions, weather forecasts, and event information. The database used in this process is designed to efficiently manage and access tourism-related data. Furthermore, the collected information is filtered based on user attributes using data processing tools. In particular, the generative AI model utilizes the filtering results to generate tourism plans tailored to the user's interests. The software used includes a generative AI model based on machine learning algorithms. 【0700】 The generated sightseeing plan is displayed on the device and presented to the user. The user can view the plan and request customization or changes as needed. The server instructs the AI ​​model through prompt messages to regenerate the optimal plan according to the user's requests. 【0701】 As a concrete example, if a female user in her 30s wants to visit art museums and go shopping, the server uses a generative AI model to select available tourist spots, taking into account traffic information and weather conditions. It avoids popular spots that are crowded on weekends and proposes a plan that includes hidden art galleries and new shopping malls. Furthermore, if the user specifically requests, "I want to take a break at a cafe at 2 PM," they can input "Please select a cafe that is open at 2 PM" as a prompt and receive detailed suggestions from the AI ​​model. 【0702】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0703】 Step 1: 【0704】 The user enters attribute information such as age, gender, and hobbies into the terminal. This entered information forms the basis for the first processing step. The terminal formats this user input data and prepares it for transmission to the server. 【0705】 Step 2: 【0706】 Based on the received user attributes, the server retrieves information on tourist spots, traffic conditions, weather forecasts, event information, and more via the internet or a dedicated API. The retrieved data is stored in a database and used as material for customization based on user attributes. 【0707】 Step 3: 【0708】 The server takes user attribute information as input and filters the tourism-related data stored in the database. Using an algorithm, it selects tourist destinations and event information that are associated with the user's hobbies and attributes. This filtering process extracts the information that is most relevant to the user. 【0709】 Step 4: 【0710】 The server receives filtered data and user information as input and generates a travel plan using a generative AI model. During this generation process, instructions are sent to the AI ​​model through prompt messages. The AI ​​calculates the optimal plan for the user, taking into account factors such as congestion and weather forecasts. The generated plan is a detailed travel suggestion that includes a series of actions and the order of visits. 【0711】 Step 5: 【0712】 The terminal visualizes the sightseeing plan received from the server and presents it to the user. The user checks the proposed plan and requests customization or adjustments as needed. This request is sent to the server and processed again. 【0713】 Step 6: 【0714】 The server processes the user's request, reusing the generated AI model as needed to create a revised sightseeing plan. This process takes into account the user's new requests, creating a more detailed and customized plan. The generated revised plan is then provided to the user again via the terminal to serve as the basis for obtaining final consent. 【0715】 (Application Example 1) 【0716】 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". 【0717】 In modern tourism, there is a demand for providing optimal sightseeing plans tailored to individual user preferences and real-time conditions. However, conventional systems have struggled to immediately reflect user requests and make real-time adjustments and customizations. As a result, they have been inadequate in responding to congestion at tourist destinations and changes in weather, leading to decreased user satisfaction. Therefore, a system that provides more flexible and personalized sightseeing plans is needed to improve user satisfaction. 【0718】 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. 【0719】 In this invention, the server includes input means for inputting user information, data collection means for collecting data from multiple information sources, data processing means for filtering the collected data based on user information, adjustment means for readjusting the sightseeing plan in real time based on tourist destinations and transportation information, presentation means for providing the generated sightseeing plan to the user, regeneration means for accepting customization requests from the user and regenerating the sightseeing plan, and visualization means for visualizing the details of tourist spots to the user using augmented reality technology. This makes it possible to provide personalized sightseeing plans that are tailored to the user's preferences and real-time circumstances, thereby improving the user experience. 【0720】 "User information" refers to information that indicates a user's individual characteristics and preferences, including age, gender, hobbies, etc. 【0721】 "Input means" refers to a device or method for receiving information from a user, such as using a keyboard or touchscreen on a terminal. 【0722】 "Data collection means" refers to devices or methods for collecting necessary data from the internet or dedicated information sources. 【0723】 "Data processing means" refers to a device or method for organizing, classifying, or filtering collected data based on user information. 【0724】 "Generation means" refers to an apparatus or method for creating a tourist plan suitable for a user based on filtered data. 【0725】 "Adjustment means" refers to a device or method for modifying a tourist plan based on tourist destinations, transportation information, and user requests. 【0726】 "Presentation means" refers to a device or method for conveying a generated sightseeing plan to a user, and which uses a display or audio output. 【0727】 A "regeneration means" is a device or method for updating a tourist plan in response to a user's customization request. 【0728】 "Visualization means" refers to a device or method for displaying detailed information about a tourist spot to the user's eyes using augmented reality technology. 【0729】 The system of this invention is based on the premise that it has a terminal for accurately inputting user information and an internet connection environment. The terminal includes devices such as smartphones and smart glasses, and the user provides information such as age, gender, and hobbies through these devices. 【0730】 The server is configured in a cloud environment and includes means for data collection, processing, generation, adjustment, presentation, regeneration, and visualization. The server utilizes Google Cloud Functions and AWS Lambda, and leverages generative AI models such as OpenAI's GPT-4. This allows the server to collect data on tourist attractions, traffic information, weather information, etc., from the internet and other dedicated information sources, and filter it based on user input. The filtered data is then analyzed through the generative AI model to generate an optimal travel plan for the user. 【0731】 The sightseeing plan is provided to the user's device in real time, and the user can view the suggested plan through the device's display or the AR function of smart glasses. Users can also modify the sightseeing plan by entering customization requests into the system. The server reflects these changes and regenerates and re-presents the sightseeing plan according to the latest information and user requests. 【0732】 Furthermore, visualization utilizing augmented reality technology allows users to view detailed information about local tourist attractions right before their eyes. This visualization technology is achieved using Microsoft HoloLens or similar devices. 【0733】 As a concrete example, if a female user in her 30s who loves art visits an urban area, the system will suggest a plan of visiting museums and art shops that avoid crowds, based on her information. Furthermore, if the user wants to add a café hopping activity, the server can receive the request and instantly update the sightseeing plan. In this case, the following prompt is entered into the generating AI model: "A female user in her 30s wants to visit art exhibitions and cafés in Tokyo. Based on current weather and traffic information, please prepare the optimal sightseeing plan that avoids crowds." 【0734】 This allows users to enjoy an optimal travel experience that perfectly fits their individual preferences and real-time circumstances. 【0735】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0736】 Step 1: 【0737】 The user uses a device to enter user information such as age, gender, and hobbies. The device temporarily stores this information and prepares to send it to the server. This input information will then become key data for generating the sightseeing plan. 【0738】 Step 2: 【0739】 The server collects data from multiple sources, including tourist attractions, traffic information, weather information, and event information. Here, APIs (e.g., Google Maps API and OpenWeatherMap API) are used to collect real-time information. The collected data is stored in a database and used in subsequent filtering processes. 【0740】 Step 3: 【0741】 The server filters the collected data based on user information. As a data processing step, it extracts only tourist spots based on the user's hobbies and preferences. For example, a user who likes art exhibitions will have priority given to information on art galleries and museums. This processed data is then sent to a generating AI model. 【0742】 Step 4: 【0743】 The server uses a generation AI model to generate a sightseeing plan based on filtered data. The inputs here are filtered tourist destination information and user preference information. The generation AI model utilizes prompts to suggest the optimal sightseeing route and schedule for the user. This generated plan is temporarily stored. 【0744】 Step 5: 【0745】 The server sends the generated sightseeing plan to the terminal and presents it to the user. The user can view the details of the proposed plan on the terminal's display. This is the stage where the user visually confirms the presented information and considers any customization requests as needed. 【0746】 Step 6: 【0747】 Users can request customizations to the proposed sightseeing plan. For example, they can send requests from their device to the server to add places to visit or adjust the time slots. This customization information is received by the server, and preparations for the readjustment process begin. 【0748】 Step 7: 【0749】 The server regenerates the sightseeing plan based on the customization request. Using the regeneration mechanism, the sightseeing plan is updated based on the user's request and the latest real-time data. During this process, prompt messages are used again to incorporate the latest information. This newly generated plan is then resent to the user's terminal. 【0750】 Step 8: 【0751】 Users can review their latest travel plans on their devices and make adjustments until they are satisfied. Furthermore, they can enable a feature that visualizes detailed information about specific spots using augmented reality technology. This allows users to virtually experience the places they plan to visit in advance. 【0752】 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. 【0753】 The system of this invention provides an optimal sightseeing plan that avoids crowds, based on the user's personality, preferences, and even emotional state. The user inputs user information such as age, gender, and hobbies via a terminal. This initial information serves as the starting point for the subsequent sightseeing plan generation process. 【0754】 Furthermore, the device incorporates an emotion engine that recognizes the user's emotions in real time from their facial expressions, voice, or entered emotional states. This emotional information is sent to the server as important data for optimizing the user experience. 【0755】 The server uses the internet and dedicated information sources to collect information such as tourist attractions, transportation information, weather forecasts, and event details. The collected data is filtered based on the user's interests and emotional state. For example, if the user wants to relax, tourist destinations with quiet environments will be prioritized. 【0756】 The generated sightseeing plan is constructed via an AI model and adjusted to take into account the user's emotions and environmental conditions. The device then presents this sightseeing plan to the user. The plan includes sightseeing spots to visit, transportation methods, and a schedule. 【0757】 For example, if a user is feeling stressed, the server might include a nature-filled park or a relaxing spa in the sightseeing plan. Furthermore, the emotion engine can analyze user feedback in real time and readjust the plan based on user satisfaction and feedback. 【0758】 This system not only considers user interests and congestion levels, but also enables flexible planning that reflects the user's emotional state, providing a unique and personalized sightseeing experience. 【0759】 The following describes the processing flow. 【0760】 Step 1: 【0761】 The user uses their device to input their age, gender, hobbies, and current emotional state. This emotional state input can be done via voice or text through the emotion engine. 【0762】 Step 2: 【0763】 The terminal collects the entered user information and sentiment data and sends it to the server. This prepares the server to process the data based on the user's current state. 【0764】 Step 3: 【0765】 The server collects information such as tourist attractions, traffic information, weather forecasts, and event information from the internet and stores it as real-time data. This information is used for planning that meets the user's needs. 【0766】 Step 4: 【0767】 The server filters the collected data based on the user's hobbies and emotional state. It considers the emotional state indicated by the emotion engine, selecting a quiet and calm location if, for example, relaxation is needed. 【0768】 Step 5: 【0769】 The server utilizes a generative AI model to generate sightseeing plans based on filtered data and emotional information. These sightseeing plans are optimized to take the user's emotions into consideration. 【0770】 Step 6: 【0771】 The terminal visually displays the sightseeing plan received from the server to the user. The user can then review the suggested travel route and destinations and begin activities based on it. 【0772】 Step 7: 【0773】 Users can provide feedback on the proposed plan. This feedback is used to capture changes in the user's emotions using an emotion engine, and is utilized to further increase user satisfaction. 【0774】 Step 8: 【0775】 The server analyzes user feedback and changing emotions using an emotion engine, and readjusts the sightseeing plan as needed. The adjusted plan is then sent back to the terminal and presented to the user. 【0776】 Step 9: 【0777】 Users approve the final plan and then execute their trip based on it. Once all the itineraries are complete, users can evaluate the overall experience through an emotional engine, which helps them plan their next trip. 【0778】 (Example 2) 【0779】 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". 【0780】 Conventional tourism planning systems struggle to provide flexible plans that adequately reflect users' individuality and emotional states, resulting in difficulties in delivering the optimal tourism experience for each user. Furthermore, plans that do not take into account real-time emotional changes cannot improve user satisfaction. 【0781】 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. 【0782】 In this invention, the server includes input means for inputting user characteristics, information gathering means for collecting information from multiple information sources, information processing means for filtering the collected information based on user characteristics and emotional state, adjustment means for adjusting the sightseeing experience plan using a generative AI model, and reconstruction means for reconstructing the sightseeing experience plan based on user feedback. This makes it possible to provide flexible and personalized sightseeing plans based on the user's individual characteristics and real-time emotional state. 【0783】 "User characteristics" refer to individual user information such as age, gender, and hobbies, and this information is used to customize the tourist experience plan. 【0784】 "Input method" refers to an interface that allows users to provide their information and feedback to the system, and includes keyboards, touchscreens, and other similar devices. 【0785】 "Information gathering means" refers to a system for obtaining relevant information from multiple sources and storing it in a database. 【0786】 "Information processing means" refers to the process of selecting collected information based on user characteristics and emotional states, and providing only the most relevant information to the user. 【0787】 "Generative means" refers to the process of creating a tourist experience plan based on filtered information, and involves the use of a generative AI model. 【0788】 "Adjustment methods" refer to the process of optimizing or modifying the generated tourist experience plan in response to user feedback and their emotional state at that time. 【0789】 "Reconstruction means" refers to the process of modifying and recreating tourist experience plans in response to user feedback and emotional states. 【0790】 "Means of delivery" refers to the interface and process that presents the generated tourism experience plan to the user in an easy-to-understand format. 【0791】 "Emotional state" refers to the state of emotions perceived from the user's facial expressions, voice, and actions, and is an important element for the system to provide a plan that meets the user's needs. 【0792】 A "generative AI model" refers to artificial intelligence technology used to create tourism experience plans based on collected information and user characteristics. 【0793】 The system of this invention provides a suitable tourism experience based on the user's personality and emotional state. To achieve this, a terminal, a server, and a generative AI model work in coordination. 【0794】 First, the user inputs information about their personality, such as age, gender, and hobbies, via the device. This input is done using common input devices such as keyboards and touchscreens. Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice to recognize their emotional state in real time. Specifically, the hardware includes a camera and microphone, while the emotion analysis algorithm operates as software. 【0795】 Next, the server collects information such as tourist attractions, transportation information, weather forecasts, and event details from the internet and dedicated information sources. Information collection technologies such as APIs and web scraping are used. The collected data is stored in a database system and filtered based on the user's personality and emotional state. For example, for a user who wants to relax, information on quiet tourist destinations and places with abundant nature is prioritized. 【0796】 Subsequently, the server uses the generated AI model to plan the tourist experience. Based on the user's information and filtered data, the AI ​​model generates an individually optimized plan. In this process, an example of a prompt statement is provided to the AI ​​model: "Please suggest places where I can relax to relieve stress." 【0797】 Finally, the generated travel experience plan is delivered to the user via their device. The user can receive a detailed plan including sightseeing spots, transportation, and schedule. If the user's emotional state changes in real time or if there is feedback from the user, the server can restructure the plan and present the user with an updated plan on demand. 【0798】 In this way, the system takes into account the user's individual needs and real-time emotional state to provide a personalized travel experience. 【0799】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0800】 Step 1: 【0801】 Users input personal information such as their age, gender, and hobbies via their device. The device stores this information as personal data and passes it on to the next processing step. The input data is categorized, and a basic dataset for generating travel plans is created. 【0802】 Step 2: 【0803】 The emotion engine built into the device analyzes the user's facial expressions and voice. This allows for real-time recognition of the emotional state, which is then output as emotion data. Specifically, data obtained from the camera and microphone is analyzed to generate a numerical emotion score. 【0804】 Step 3: 【0805】 The server collects information such as tourist attractions, transportation information, weather forecasts, and event details from the internet and dedicated information sources. It uses an API to gather this information and store it in a database. Input data consists of the latest information from external sources, and output is the storage of data in the information database. 【0806】 Step 4: 【0807】 The server uses the collected information to filter results using user personality and emotional data. Here, it selects tourist destinations and events that match the user's purpose, such as relaxation. A prompt message like "Please suggest places where I can relax to relieve stress" is fed into the AI ​​model, and the filtered results are output. 【0808】 Step 5: 【0809】 The server uses a generative AI model to create a travel plan. Taking filtered information and prompts as input, the model constructs an optimal travel experience plan and outputs specific plan data. The generated plan includes places to visit, modes of transportation, and a schedule. 【0810】 Step 6: 【0811】 The terminal presents the generated sightseeing plan to the user. The plan details are displayed on the screen, allowing the user to recognize them. The user then prepares to take action based on the provided plan. 【0812】 Step 7: 【0813】 Users input feedback using a device. The device sends this feedback, along with their emotional state and requests, to the server. The input feedback is treated as data to help improve the system and is used to develop future plans. 【0814】 Step 8: 【0815】 The server reconstructs the sightseeing plan based on user feedback and real-time sentiment data. It uses a generative AI model to readjust the plan as needed and sends the updated plan data to the user's device. This ensures that users always have the latest and most optimal sightseeing experience. 【0816】 (Application Example 2) 【0817】 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". 【0818】 Current tourism plan provision systems have the problem of only being able to offer standardized plans without adequately considering the individuality and feelings of users. As a result, it is difficult to provide tourism experiences that meet user expectations, which may lead to a decrease in user satisfaction. In addition, because they cannot respond flexibly based on real-time information, they are susceptible to sudden weather changes and congestion levels. 【0819】 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. 【0820】 In this invention, the server includes an information input means for inputting user information, an emotion analysis means for recognizing the user's emotional state, and a plan generation means for generating a sightseeing plan that takes real-time circumstances into consideration. This allows for the provision of a sightseeing plan optimized for the user's personality and emotional state, and enables appropriate readjustment of the plan according to the situation. 【0821】 "Information input means" refers to a device or software used by a user to input personal information, preferences, emotional states, and other similar information. 【0822】 "Information gathering means" refers to devices or software that collect data such as tourist spots, transportation information, and weather forecasts from multiple sources. 【0823】 "Emotion analysis means" refers to a device or software for recognizing a user's emotional state from their facial expressions or voice. 【0824】 "Data processing means" refers to a device or software that filters collected data based on user information and emotional state and converts it into appropriate information. 【0825】 "Plan generation means" refers to a device or software that generates a tourist plan using filtered data, user information, and emotional state. 【0826】 "Information presentation means" refers to a device or software for presenting a generated sightseeing plan to a user. 【0827】 "Planning adjustment means" refers to a device or software that readjusts the sightseeing plan based on user feedback. 【0828】 To realize this invention, it is necessary to design a system that allows users to generate and adjust sightseeing plans using a device such as a smartphone. This system is constructed as follows: 【0829】 Users input their personal information, preferences, and emotional states through a smartphone application using an input method. The entered data is processed on the device before being sent to the server. 【0830】 The server uses information gathering tools to collect relevant tourist information, traffic information, and weather forecasts from the internet and dedicated information sources. This includes a backend system using Python and Flask, as well as external information sources such as the OpenWeatherMap API. 【0831】 Subsequently, emotion analysis tools recognize the user's emotional state using data acquired in real time from the camera and microphone. This process utilizes machine learning models such as TensorFlow. 【0832】 The data processing system filters the collected information based on user information and emotional state. In this process, the filtered information is passed to the subsequent plan generation system, for example, prioritizing quiet tourist destinations when the user is seeking relaxation. 【0833】 The plan generation method uses a generative AI model to construct an optimal sightseeing plan for the user based on filtered information. This plan includes details such as sightseeing spots to visit, transportation methods, and schedules. 【0834】 Finally, the information presentation system displays the generated sightseeing plan to the user via the terminal, and the plan adjustment system flexibly reconstructs the plan based on the user's feedback. Through this process, the user can obtain the optimal plan that suits their real-time situation and emotions. 【0835】 For example, if a user is feeling stressed, the server might suggest a sightseeing plan such as, "I suggest visiting a quiet park and relaxing by enjoying nature." Such plans are constructed using an example prompt statement based on a generative AI model, such as, "Suggest a good tourist destination if the user is looking to relax." 【0836】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0837】 Step 1: 【0838】 Users input personal information, preferences, and emotional states using their devices. This data is stored in a database on the device via the input method. This allows for the collection of the user's basic information, which can then be used in subsequent processes. 【0839】 Step 2: 【0840】 The device uses a camera and microphone to capture the user's facial expressions and voice in real time. This data is processed by an emotion analysis system, and a machine learning model is used to recognize the user's emotional state. This recognized data is sent to a server as an emotional state. 【0841】 Step 3: 【0842】 The server uses information gathering tools to collect tourist information, traffic information, and weather data from the internet. This involves utilizing external APIs to obtain various data in formats such as JSON and storing it on the server. 【0843】 Step 4: 【0844】 The server uses data processing tools to filter the collected information based on user information and emotional state. This optimizes the filtered information for plan generation, eliminating irrelevant data. 【0845】 Step 5: 【0846】 The server uses a generation AI model to construct an optimal sightseeing plan for the user based on filtered information. It operates the AI ​​model using specific prompts to create a detailed plan including destinations and transportation. 【0847】 Step 6: 【0848】 The terminal presents the generated sightseeing plan to the user using an information display device. The user can review this plan and provide feedback as needed. 【0849】 Step 7: 【0850】 The server reconstructs the plan using planning adjustment mechanisms based on user feedback. By reflecting the user's emotional state and real-time circumstances, it is possible to provide a timely updated plan. 【0851】 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. 【0852】 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. 【0853】 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. 【0854】 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. 【0855】 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. 【0856】 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. 【0857】 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. 【0858】 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. 【0859】 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." 【0860】 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. 【0861】 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. 【0862】 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. 【0863】 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. 【0864】 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. 【0865】 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. 【0866】 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. 【0867】 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. 【0868】 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. 【0869】 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. 【0870】 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. 【0871】 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. 【0872】 The following is further disclosed regarding the embodiments described above. 【0873】 (Claim 1) 【0874】 An input means for entering user information, 【0875】 A data collection method that collects data from multiple sources, 【0876】 A data processing means for filtering collected data based on user information, 【0877】 A generation means for generating a tourist plan using the filtered data and user information, 【0878】 A means of presenting the generated sightseeing plan to the user, 【0879】 A means of adjusting the sightseeing plan based on change requests from users, 【0880】 A system that includes this. 【0881】 (Claim 2) 【0882】 The system according to claim 1, comprising data processing means for filtering tourist spots related to hobbies based on input user information. 【0883】 (Claim 3) 【0884】 The system according to claim 1, comprising a generation means for generating a sightseeing plan that takes real-time conditions into consideration. 【0885】 "Example 1" 【0886】 (Claim 1) 【0887】 A means of receiving user attributes, 【0888】 Information gathering means that acquire information from multiple data sources, 【0889】 A data processing means for sorting acquired information based on user attributes, 【0890】 A means for creating a tourism plan using the selected information and user attributes, 【0891】 A display means for showing the created sightseeing plan to the user, 【0892】 A means of modifying the tourism plan based on user requests for corrections, 【0893】 An adjustment means that automatically adjusts the sightseeing plan based on prompt sentences using a generative AI model, 【0894】 Situational considerations that take into account real-time congestion forecasts and weather conditions, 【0895】 A system that includes this. 【0896】 (Claim 2) 【0897】 The system according to claim 1, comprising data processing means for selecting tourist destinations related to user interests based on received user attributes. 【0898】 (Claim 3) 【0899】 The system according to claim 1, comprising a generative AI model that generates a travel plan using prompt statements. 【0900】 "Application Example 1" 【0901】 (Claim 1) 【0902】 An input means for entering user information, 【0903】 A data collection method that collects data from multiple sources, 【0904】 A data processing means for filtering collected data based on user information, 【0905】 A generation means for generating a tourist plan using the filtered data and user information, 【0906】 A means of readjusting sightseeing plans in real time based on tourist destinations and traffic information, 【0907】 A means of presenting the generated sightseeing plan to the user, 【0908】 A regeneration method that accepts user customization requests and regenerates the sightseeing plan, 【0909】 A system that includes this. 【0910】 (Claim 2) 【0911】 The system according to claim 1, comprising a selection means for selecting suggested tourist spots based on input user information and real-time conditions. 【0912】 (Claim 3) 【0913】 The system according to claim 1, comprising visualization means for visualizing details of tourist spots to the user using augmented reality technology. 【0914】 "Example 2 of combining an emotion engine" 【0915】 (Claim 1) 【0916】 An input means for inputting user characteristics, 【0917】 Information gathering means that collect information from multiple sources, 【0918】 Information processing means for filtering collected information based on user characteristics and emotional state, 【0919】 A generation means for generating a tourist experience plan using filtered information and user characteristics, 【0920】 A means of adjusting tourist experience plans using a generative AI model, 【0921】 A means of providing users with generated tourist experience plans, 【0922】 A means of restructuring a tourist experience plan based on user feedback, 【0923】 A system that includes this. 【0924】 (Claim 2) 【0925】 The system according to claim 1, comprising information processing means for filtering tourist destinations related to user interests based on input user characteristics. 【0926】 (Claim 3) 【0927】 The system according to claim 1, comprising a generation means for generating a tourist experience plan that takes into account real-time emotional states. 【0928】 "Application example 2 when combining with an emotional engine" 【0929】 (Claim 1) 【0930】 An information input means for entering user information, 【0931】 Information gathering means that collect data from multiple sources, 【0932】 A means of analyzing emotions to recognize emotional states, 【0933】 A data processing means that filters the collected data based on user information and emotional state, 【0934】 A plan generation means that generates a sightseeing plan using the filtered data, user information, and emotional state, 【0935】 An information presentation means that presents the generated sightseeing plan to the user, 【0936】 A plan adjustment mechanism that readjusts the sightseeing plan based on user feedback, 【0937】 An information processing system that includes this. 【0938】 (Claim 2) 【0939】 The information processing system according to claim 1, comprising data processing means for filtering tourist spots related to user interests based on input user information and emotional state. 【0940】 (Claim 3) 【0941】 The information processing system according to claim 1, comprising a plan generation means for generating a sightseeing plan that takes into account real-time circumstances and emotional states. [Explanation of Symbols] 【0942】 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] An input means for entering user information, A data collection method that collects data from multiple sources, A data processing means for filtering collected data based on user information, A generation means for generating a tourist plan using the filtered data and user information, A means of presenting the generated sightseeing plan to the user, A means of adjusting the sightseeing plan based on change requests from users, A system that includes this. [Claim 2] The system according to claim 1, further comprising data processing means for filtering tourist spots related to hobbies based on input user information. [Claim 3] The system according to claim 1, comprising a generation means for generating a sightseeing plan that takes real-time conditions into consideration.

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