system

The system addresses the lack of barrier-free information and language barriers for wheelchair users by generating personalized travel plans and offering real-time support, ensuring safe and comfortable travel experiences.

JP2026096553APending Publication Date: 2026-06-15SOFTBANK GROUP CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
SOFTBANK GROUP CORP
Filing Date
2024-12-03
Publication Date
2026-06-15

AI Technical Summary

Technical Problem

Wheelchair users face challenges with insufficient barrier-free information at travel destinations, difficulty in obtaining local support due to language barriers, and the need for real-time adjustments in emergency situations, which impairs safety and comfort during travel.

Method used

A system that generates user profiles based on specific needs, collects real-time accessibility data, provides customized travel plans, and offers multilingual dialogue support to overcome language barriers, ensuring safe and comfortable travel experiences.

🎯Benefits of technology

Enables wheelchair users to plan and enjoy their trips with peace of mind by providing tailored information and support, addressing language barriers and real-time adjustments.

✦ Generated by Eureka AI based on patent content.

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  • Figure 2026096553000001_ABST
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Patent Text Reader

Abstract

We provide the system. [Solution] A means of generating a profile based on the user's specific needs, A means of collecting information from external information sources, analyzing it, and generating travel plans that include accessibility data, A means of obtaining the user's location information in real time during travel and providing appropriate support information, A means of providing multilingual dialogue support using translation functions, A system that includes this.
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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, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 One of the biggest problems faced by travelers using wheelchairs is the lack of barrier-free information at the travel destination and the effort required to collect such information. In addition, if plan changes at the travel destination or appropriate support in case of emergencies are not carried out promptly, the safety and comfort of travelers may be impaired. There is also a problem that it is difficult to obtain local support and responses due to language barriers. It is necessary to solve these problems and provide an environment in which wheelchair users can travel with confidence and enjoy their trips. 【Means for Solving the Problems】 【0005】 This invention provides a system that generates profiles based on the user's specific needs and enables the provision of information tailored to those individual needs. It solves the problem of insufficient information by collecting accessibility data in real time from external information sources and generating customized travel plans that can be used at the travel destination. Furthermore, it acquires the user's location information during travel and provides optimal support information at all times, enabling flexible responses to unforeseen circumstances. In addition, it implements multilingual dialogue support with translation functionality, providing a means to overcome challenges in the local area due to language barriers. In this way, it comprehensively supports travel for wheelchair users, realizing safe and comfortable journeys. 【0006】 "Users" refer to people who travel using wheelchairs and are the recipients of this system's services. 【0007】 "Special needs" refer to the individual requirements and conditions of users, which are factors that influence the selection of transportation and accommodation. 【0008】 A "profile" is data that compiles a user's personal information and special needs, and is used to provide individualized services. 【0009】 "External information sources" refer to third-party services or organizations that provide local accessibility information and data on tourist facilities. 【0010】 "Accessibility" is a concept that describes the characteristics of environments and facilities that allow wheelchair users to access safely and comfortably. 【0011】 A "customized travel plan" is a travel schedule or plan created individually based on the user's specific needs and preferences. 【0012】 "Real-time" is a concept that indicates information and data are processed and provided to users immediately. 【0013】 "Location information" refers to data that indicates the user's current location and is used to optimize movement and support. 【0014】 "Translation function" refers to technology that converts texts and conversations between different languages, contributing to smoother communication. 【0015】 "Multilingual dialogue support" is a support function that understands and translates multiple languages ​​to facilitate communication between users and local people. [Brief explanation of the drawing] 【0016】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine. 【Mode for Carrying Out the Invention】 【0017】 Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0018】 First, the terms used in the following description will be explained. 【0019】 In the following embodiments, 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. 【0020】 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. 【0021】 In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes. 【0022】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0023】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0024】 [First Embodiment] 【0025】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0026】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0027】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0028】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0029】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0030】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0031】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0032】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0033】 As shown in Figure 2, in the data processing device 12, specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0034】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0035】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0036】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0037】 This invention provides a system that allows wheelchair users to plan their trips and enjoy them with peace of mind. The system consists of a user, a terminal, and a server. 【0038】 First, the user performs the initial setup from their device. The user enters information such as special needs, travel destinations, and available transportation options to create a personalized profile. This profile is stored on the server as a foundation for optimizing the provision of travel information. 【0039】 The server collects accessibility information from external sources to the extent possible and analyzes the data using an AI agent. This analysis selects facilities and transportation options that users can use safely and comfortably, and generates a customized travel plan. 【0040】 The device notifies the user of the generated travel plan and provides the ability to modify it as needed. The user can instruct the system on travel dates and places they wish to visit, and fine-tune the plan. 【0041】 During travel, users can check their location and local conditions in real time. The device acquires the user's location information and sends it to the server. Based on this information, the server immediately provides optimal travel routes and information on available barrier-free facilities. 【0042】 Furthermore, when users encounter language barriers in their local area, they can utilize a multilingual dialogue support function via their device to facilitate smooth communication with local people. This function uses an AI model on the server to provide real-time translation and deliver necessary information to the user. 【0043】 For example, if a user visits Paris, France, the system will collect accessibility information around the Eiffel Tower and provide the user with information on the locations of elevators and accessible restrooms. Furthermore, it will recommend routes for safely viewing the tower's nighttime illuminations, enriching the travel experience. 【0044】 Thus, the embodiments of the present invention comprehensively support the user's travel, providing consistent support from the planning stage to real-time support during the trip. This system allows wheelchair users to visit various travel destinations with peace of mind and enjoy a comfortable vacation. 【0045】 The following describes the processing flow. 【0046】 Step 1: 【0047】 The user activates the device and enters personal information and special needs upon initial login. The device then sends this information to the server. 【0048】 Step 2: 【0049】 The server creates a user profile based on the received information and stores it in a database. This profile serves as the basis for customizing the information provided to the user. 【0050】 Step 3: 【0051】 The server sends requests to collect accessibility information about the destination from external information sources. The retrieved data is analyzed, and information relevant to the user's needs is extracted. 【0052】 Step 4: 【0053】 The server uses an AI agent to analyze the collected data and generate the optimal travel plan for the user. This plan includes information on tourist attractions, accommodations, and travel routes. 【0054】 Step 5: 【0055】 The terminal displays the travel plan received from the server to the user. The user reviews the plan and sends any necessary changes back to the server via the terminal. 【0056】 Step 6: 【0057】 When a user uses their device while traveling to check their location and local information, the device sends location data to a server, preparing to receive real-time support. 【0058】 Step 7: 【0059】 The server provides the user's device with the optimal travel route and accessibility information in real time, based on their current location. Emergency contact information and support details are also included as needed. 【0060】 Step 8: 【0061】 If a user requires support in the local language, the device sends a translation request to the server. The server uses AI to perform an automatic translation and sends the result to the device to assist the user's communication. 【0062】 This will create a system that wheelchair users can use with complete peace of mind, from planning their trips to receiving real-time support. 【0063】 (Example 1) 【0064】 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." 【0065】 For travelers using wheelchairs, a system is needed that allows for smooth travel planning and on-site transportation. However, currently, there is often a lack of accessibility information and real-time support, making it difficult for them to enjoy their trips with peace of mind. Solving this problem is essential. 【0066】 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. 【0067】 In this invention, the server includes means for creating a user profile based on the user's individual requirements, means for collecting accessibility-related information from external sources, analyzing it using a generative AI model, and creating a travel plan, and means for acquiring the user's location information in real time during the trip and providing the optimal travel route and information on available facilities. This makes it possible for travelers using wheelchairs to enjoy their trip with peace of mind and comfort. 【0068】 A "user profile" is a collection of information created based on the individual requirements and special needs of a user, and serves as the foundation for optimizing travel planning. 【0069】 "External information sources" refer to information providers that obtain information from outside the system, such as public databases or reliable travel information websites. 【0070】 "Accessibility-related information" refers to information about facilities and means of transportation that users can access, and in particular includes data related to barrier-free access. 【0071】 A "generative AI model" is a type of artificial intelligence technology used to analyze large amounts of data and derive solutions in a specific way. 【0072】 A "travel plan" is a detailed schedule that includes destinations, transportation, accommodations, and other information, based on the user's needs. 【0073】 "Real-time location information" refers to information that indicates the user's location at the current time, and this information enables the most appropriate response to be taken on-site. 【0074】 "Multilingual dialogue support" is a function that enables communication in multiple languages, primarily using translation technology to facilitate smooth conversations with local people. 【0075】 This invention is a system that enables wheelchair users to plan and enjoy their trips with peace of mind. The main components of the system include a user, a terminal, and a server. 【0076】 Users access the system using a terminal and enter travel-related information. Users input their specific needs, destinations, and available modes of transportation, and the terminal receives this information to create an individual "user profile." This profile information is sent to a server and stored in a secure database. 【0077】 The server utilizes a generative AI model to collect accessibility-related information from external sources. Specifically, it obtains information on the locations of barrier-free facilities and available transportation options from public databases and travel information websites. Through AI-driven data analysis, this information is organized in a way that is optimal for the user, generating a customized "travel plan." 【0078】 In creating travel plans, a generative AI model is used to design plans based on prompts such as, "Create an optimal sightseeing plan for a wheelchair user visiting Paris, France." The generated plan is notified to the user's device, and the user can fine-tune the travel itinerary as needed. 【0079】 During travel, the device collects the user's real-time location information and sends it to the server. The server processes this information in real time and provides the user with the most suitable travel routes and up-to-date information on accessible facilities. 【0080】 Furthermore, when users encounter language barriers locally, the system provides multilingual dialogue support via the device. The server uses an AI model to translate languages, helping users communicate smoothly with local people. 【0081】 This system will allow wheelchair users to visit various travel destinations with peace of mind and enjoy comfortable vacations. 【0082】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0083】 Step 1: 【0084】 Users create a user profile by entering their individual requirements using a terminal. The main inputs are special needs, desired destinations, and available modes of transportation. The terminal receives this input data, checks its integrity, and then sends the profile to the server in database format. The output is profile data that reflects the user's characteristics. 【0085】 Step 2: 【0086】 The server collects accessibility information from external sources based on user profiles received from terminals. The main inputs are profile data and information from external databases. The server first accesses the information providers and retrieves the necessary data. The output is a list of accessibility information for the target area. 【0087】 Step 3: 【0088】 The server analyzes the collected accessibility information using a generating AI model. The inputs are the accessibility information and user profile obtained in step 2. The AI ​​model utilizes prompts to generate commands, such as "Create an optimal sightseeing plan for a wheelchair user visiting Paris, France," and performs data analysis. The output is a customized travel plan. 【0089】 Step 4: 【0090】 The server sends the generated travel plan to the terminal. The terminal notifies the user of the plan, allowing the user to review and modify the plan through the interface. The input is the travel plan data from the server, and the output to the user is a travel plan for review. The user adjusts the details as needed, and the terminal accepts any new information. 【0091】 Step 5: 【0092】 During travel, the device periodically collects the user's real-time location information and sends it to the server. The input is GPS information, and after the device verifies the accuracy of the location information, it sends it to the server. Based on this information, the server updates available facilities and route information and sends it back to the device. This output is real-time travel assistance information. 【0093】 Step 6: 【0094】 If a user encounters a language problem, multilingual dialogue support is activated from the device. The input is the content that the user specifies needs to be translated, and the device sends this data to the server. The server uses an AI model to perform translation in real time and returns the result to the device. The output is the translated dialogue. 【0095】 (Application Example 1) 【0096】 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." 【0097】 Traditionally, it has been difficult for wheelchair users to obtain real-time information about accessibility at their travel destinations, ensuring they can travel with peace of mind. Furthermore, information regarding language barriers and travel routes was often lacking. There is a need for methods to alleviate these traveler anxieties and enable them to enjoy travel more comfortably and safely. 【0098】 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. 【0099】 In this invention, the server includes means for generating a profile based on the user's specific needs, means for analyzing information from external information sources to generate a travel plan that includes accessibility data, and means for acquiring the user's location information in real time during the trip and providing appropriate support information. This allows travelers to visually confirm accessibility information and easily operate the system using voice recognition. 【0100】 "Special user needs" refer to requests and requirements identified based on the individual user's physical condition or specific requirements at their travel destination. 【0101】 "Means for generating profiles" refers to systems or processes that register and store individual requests and conditions as data based on user input. 【0102】 "External information sources" refer to sources of accessible data provided from the internet, public institutions, facilities, etc. 【0103】 "Accessibility data" refers to information regarding the accessibility of facilities and transportation systems that are accessible to wheelchair users. 【0104】 "Means for generating travel plans" refers to a function that uses collected data to formulate optimal travel plans tailored to the user's needs. 【0105】 "Means of acquiring user location information in real time and providing appropriate support information" means understanding the current location of a user while they are on the move and providing the necessary support information immediately. 【0106】 "A means of supporting multilingual dialogue using translation functions" refers to a system that performs real-time language translation to facilitate communication between users and local people. 【0107】 Augmented reality technology is a technique that overlays digital data onto real-world visual information for display. 【0108】 "Speech recognition technology" is a technology that converts voice input into text and uses that text to operate computers and systems. 【0109】 To implement this invention, the system consists mainly of the following hardware and software. First, the user wears smart glasses. These smart glasses are equipped with a GPS module for acquiring location information, a camera for recognizing the environment, and a microphone for receiving voice input. This hardware is used to acquire the user's dynamic location information and surrounding environment in real time. 【0110】 The server receives profile and location information sent by the user and, based on accessibility information obtained from external sources, provides the user with the most suitable travel routes and facility information. For information processing, it uses ARCore, an open-source AR library, and leverages augmented reality technology to overlay visual information on the smart glasses' display, allowing the user to check accessibility information in their surroundings. 【0111】 The system utilizes Google® Speech-to-Text API for speech recognition technology, instantly converting user voice commands into text to enable appropriate system responses. Furthermore, it employs the Google Translate API for real-time translation to support multilingual dialogue, eliminating language barriers for users. 【0112】 For example, when a user visits a tourist destination, information about the nearest accessible facilities will be displayed on the smart glasses' screen. Furthermore, by specifying a desired destination via voice command, the user will be guided to that location using both audio and visual information. If conversation with locals is necessary, the system can also translate their conversation in real time and display it to the user. 【0113】 An example of a prompt message would be: "Display barrier-free facilities around tourist attractions and provide voice guidance for the shortest route to those locations. Furthermore, translate and display conversations in the local language." This would allow users to enjoy their trip with peace of mind. 【0114】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0115】 Step 1: 【0116】 The user puts on smart glasses and activates the location services. The GPS module in the smart glasses activates and acquires the user's location information in real time. This entered location information is transmitted to the server via the terminal. 【0117】 Step 2: 【0118】 The server receives the user's location information and accesses external information sources to collect data on nearby accessibility facilities and travel routes. This data is filtered based on the user's current location, and only the most relevant information is extracted. This result is then sent from the server to the terminal as accessibility information. 【0119】 Step 3: 【0120】 The device displays the received accessibility information on the smart glasses' screen using an open-source AR library. This process overlays digital accessibility data onto real-world visual information, allowing the user to visually confirm their surroundings. 【0121】 Step 4: 【0122】 The user uses voice input to instruct the device on where they want to go or what information they want to know. The device uses a voice recognition API to convert the voice instructions into text. This result is analyzed by the device and the appropriate action is requested from the server. 【0123】 Step 5: 【0124】 The server generates and transmits customized travel routes and additional information based on voice commands. Using a generation AI model, it provides optimized route recommendations and accompanying information. The output is displayed on smart glasses via the device. 【0125】 Step 6: 【0126】 When linguistic interaction is required on-site, the user attempts to converse with locals using voice. The device records the conversation in real time, translates it using a multilingual translation AP, and displays the result on the smart glasses' display. This process enables the user to communicate smoothly in the local language. 【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】 This invention is a system for providing travel support to wheelchair users, tailored to their specific needs and emotional state. The system is based on a user, a terminal, and a server. 【0129】 First, users create a profile via their device. Here, they enter personal information along with any special needs, preparing the system to provide the best possible service to them. This information is sent from the device to the server and stored in a database. 【0130】 Based on this profile, the server collects accessibility information from external sources. The collected data is analyzed using AI and an emotion engine to generate a customized travel plan based on the user's preferences and current emotional state. This plan includes destinations, accommodations, necessary travel routes, and available accessibility information. 【0131】 During their trip, users can receive real-time support through their device. The device sends the user's location information to the server. The server considers the user's location information and emotional data analyzed by the emotion engine to provide appropriate advice and support. For example, if the emotion engine determines that the user is feeling stressed, the server will recommend a route that allows for a more relaxed and calming experience. 【0132】 The translation function is also available in real time. When communicating with locals while traveling abroad, it is designed to translate in a tone that matches the user's emotions, making communication easy. 【0133】 For example, if a user feels stressed while traveling in Paris, the system will suggest relaxing parks or quiet restaurants. It will also adjust the tone of the translation to match the user's mood, enabling gentle conversations with local staff. In this way, it provides real-time support that is sensitive to the user's emotions, contributing to a safe and comfortable travel experience. 【0134】 Embodiments of the present invention create an environment in which wheelchair users can enjoy travel with peace of mind, according to their emotions and special needs. 【0135】 The following describes the processing flow. 【0136】 Step 1: 【0137】 The user starts up the device, accesses the profile creation screen, and enters personal information and special needs. The device then sends the entered information to the server. 【0138】 Step 2: 【0139】 The server generates a user profile based on the received information and stores it in a database. This profile is used to customize travel support. 【0140】 Step 3: 【0141】 The server collects accessibility and tourist information about destinations from external sources. This information is filtered based on the user's profile. 【0142】 Step 4: 【0143】 The server uses AI, including an emotion engine, to analyze collected information and generate a customized travel plan tailored to the user's specific needs and emotional state. The plan includes planned destinations, accommodations, and recommended routes. 【0144】 Step 5: 【0145】 The generated travel plan is sent to the device, and the user reviews the plan. When the user enters any desired changes, the device sends the modifications to the server. 【0146】 Step 6: 【0147】 During travel, the user uses their device to send real-time location information to the server. The device also acquires and transmits the user's emotional state. 【0148】 Step 7: 【0149】 Based on the user's location and sentiment data, the server provides the device with appropriate support information and modified travel routes in real time. For example, if the user needs to relax, a route to a quiet cafe or park might be recommended. 【0150】 Step 8: 【0151】 When a user needs assistance in the local language, the device sends a translation request to the server. The server adjusts the tone of the translation based on an emotion engine and sends the result to the device, facilitating smooth communication with local people. 【0152】 Through this process, users can enjoy a travel experience tailored to their specific needs and emotions. 【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 as the "terminal". 【0155】 There is a need to provide appropriate, real-time support to individual users with special needs, including wheelchair users, to ensure they can enjoy their trip safely and comfortably. In particular, challenges include facilitating smooth communication in multilingual environments, customizing support based on the user's emotional state, and responding quickly to unexpected changes in circumstances during travel. 【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 means for generating personal information based on the user's specific requirements, means for collecting data from external sources and analyzing it to generate a travel plan that includes data on environmental constraints, and means for acquiring the user's location data in real time during travel and providing appropriate support information. This enables customized travel support for the user that is tailored to their specific needs and emotions. 【0158】 "Users" refer to individuals who use this system to receive support for travel and transportation. 【0159】 "Special requirements" refer to the user's specific needs or limitations, which include, for example, mobility restrictions, visual impairments, and hearing impairments. 【0160】 "Personal information" refers to basic information about a user, including data such as name, contact information, and special needs. 【0161】 "External information sources" refer to information from external data providers and services that this system accesses and obtains information from. 【0162】 "Collecting data" refers to the process by which a system obtains necessary information from external sources and stores it appropriately in its own database. 【0163】 "Environmental constraints" refer to various limiting factors that users may face, such as physical, geographical, and social circumstances. 【0164】 A "travel plan" refers to a plan that includes specific destinations, travel routes, and accommodation information, all formulated based on the individual needs of the user. 【0165】 "Support information" refers to guidance and advice provided to users, including information on optimal routes for travel and recommended destinations. 【0166】 "Emotional state" refers to the user's psychological state and mood, including stress levels and degrees of comfort. 【0167】 "Multilingual dialogue support" refers to translation and interpretation functions that facilitate communication between users who speak different languages, as well as with local people. 【0168】 A "generative AI model" refers to an algorithm or system that uses artificial intelligence to analyze data and provide optimal suggestions and support tailored to the user's characteristics. 【0169】 This invention aims to provide customized travel assistance to travelers with special requirements, based on their needs and emotional state. In particular, it is a system that supports users in having a safe and comfortable experience while traveling. 【0170】 First, the user enters their personal information and special requirements using a terminal, creating a profile. This profile data is then sent from the terminal to the server. The server securely stores this information in a database using a database management system. 【0171】 Next, the server collects the necessary data from external sources. Specifically, it uses APIs from public map information and tourism information services to obtain information on barrier-free tourist spots and accommodations. This information is input into a generative AI model and an emotion engine, which are then analyzed based on the user's profile. 【0172】 The server utilizes a generative AI model to automatically generate travel plans that take into account the user's characteristics and current emotional state. These travel plans include destinations, recommended routes, and accessibility information. 【0173】 During their trip, users receive real-time support from a server via their device. The server analyzes location data transmitted from the device and provides necessary support information and advice based on the user's stress levels and anxiety. For example, if a user is feeling stressed, the server might recommend a relaxing park or a quiet cafe. 【0174】 Furthermore, the device helps users communicate smoothly with people who speak other languages ​​through its translation function. The translation can adjust its tone based on the user's emotional state. 【0175】 As a concrete example, one possible prompt message is: "Please suggest a barrier-free travel plan for a wheelchair user. The user is currently in Paris and is looking for a place to relax." By inputting this prompt message into the server's AI, it becomes possible to generate a suitable travel plan. 【0176】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0177】 Step 1: 【0178】 The user uses the device to create a profile. Here, the user enters personal information and special requirements. The entered data is temporarily stored by the device. The input in this step is personal information provided by the user, and the output is profile data generated by the device. The device also performs input validation to verify that the input data is complete and accurate. 【0179】 Step 2: 【0180】 The terminal sends profile data to the server. The information is sent via a secure communication protocol and stored in a database by the server. The input for this step is the profile data, and the output is the user information stored in the database. The server verifies that the data has been stored correctly. 【0181】 Step 3: 【0182】 The server collects accessibility-related data from external sources. This is done using public map information and specific APIs. The input for this step is the necessary data determined by the user profile, and the output is data about environmental constraints. The server organizes the collected data and prepares it for the next analysis step. 【0183】 Step 4: 【0184】 The server processes the collected data into a generating AI model to create travel plans based on user needs. The input consists of data on environmental constraints and user profiles, while the output is a customized travel plan. Here, the AI ​​performs analysis, taking into account the user's characteristics and current emotional state. 【0185】 Step 5: 【0186】 Once the trip begins, the user transmits location information in real time using their device. The device uses a GPS module to acquire location information and sends it to the server. The input is the user's current location, and the output is the transmission of location information data. 【0187】 Step 6: 【0188】 The server receives location information and integrates it with sentiment data analyzed by the sentiment engine. Based on this data, it provides appropriate support information and advice in real time. The input for this step is location information and sentiment data, and the output is customized advice. 【0189】 Step 7: 【0190】 The device assists user communication through its translation function. It adjusts the translation tone according to the specific emotion being conveyed. The input is the language data the user needs, and the output is the tone-adjusted translation result. 【0191】 Step 8: 【0192】 The server receives user feedback and uses it to improve future plans. The input is user feedback, and the output is a new travel plan or improved support that reflects that feedback. This feedback loop facilitates continuous system optimization. 【0193】 (Application Example 2) 【0194】 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". 【0195】 It is essential to provide a safe and comfortable travel experience for travelers with special needs, including wheelchair users. However, existing systems struggle to respond to users' real-time emotional states and special needs during travel planning and travel, and there is a lack of approaches to provide smooth multilingual communication. In such situations, users may experience stress or inconvenience. 【0196】 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. 【0197】 In this invention, the server includes means for generating a profile based on the user's specific needs, means for collecting and analyzing data from external information sources to generate an accessibility-related travel plan, means for acquiring the user's location information in real time during the trip and providing appropriate advice, means for analyzing emotions and suggesting appropriate travel destinations and routes based on the user's emotional state, and means for supporting multilingual dialogue using a translation function. This makes it possible to provide users with a customized travel experience that is sensitive to their emotions. 【0198】 "Special needs" refer to specific requirements or conditions that distinguish a user from typical travelers, such as needing particular assistance. 【0199】 A "profile" is data that records a user's personal information and special needs. 【0200】 "External information sources" refer to third-party information sources that provide various data related to travel. 【0201】 "Accessibility" refers to the characteristics of facilities and services that can be comfortably used by people with special needs. 【0202】 A "travel plan" is a travel itinerary and plan created for the user. 【0203】 "Real-time" means that data can be used and provided immediately without any time delay. 【0204】 "Location information" refers to data that indicates the specific geographical location where the user is currently located. 【0205】 "Advice information" refers to suggestions and guidance provided to help users resolve potential problems and anxieties they may face. 【0206】 "Emotional analysis" is the process of analyzing and understanding a user's emotional state as data. 【0207】 A "translation function" is a feature that converts languages ​​to support communication between multiple languages. 【0208】 This system provides real-time support for the travel needs of wheelchair users. Users first enter a profile, including their specific needs, via a terminal. This data is sent to a server and forms the basis for customized support throughout the trip. 【0209】 Based on the user's profile, the server collects accessibility information from external sources and analyzes the data using AI. The server then uses this information to create barrier-free travel plans. An emotion analysis engine also considers the user's emotional state based on their input, optimizing travel destinations and routes. 【0210】 During travel, the user's device provides real-time location information to the server, allowing for immediate and appropriate advice. For example, by combining AI technology (Hugging Face's Transformers) with an emotion analysis engine (IBM Watson®), a calming environment can be suggested if the user is currently feeling anxious. When users interact with locals abroad, they can receive appropriate multilingual support through a translation function. This translation function utilizes, for example, the DeepL API. 【0211】 For example, if a user visiting Tokyo feels tired in the afternoon, the device will suggest a nearby quiet cafe or park, based on sentiment analysis data. Furthermore, by utilizing the translation function for communication with local staff, users can enjoy their experience without stress. 【0212】 Examples of prompts for a generative AI model are as follows: 【0213】 "Please create an accessible plan for wheelchair travelers. Current location and emotional data indicate stress levels. Reflect the city's accessibility information and recommend places where they can relax." 【0214】 This format allows for detailed support tailored to the diverse needs of users, providing a safe and comfortable travel experience. 【0215】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0216】 Step 1: 【0217】 The user enters their profile information using a device. This profile includes special needs and personal information. The entered data is sent from the device to a server, which stores it in a database and uses it as basic data for travel planning. 【0218】 Step 2: 【0219】 The server collects accessibility information from external sources based on the user's profile. The input data is profile information, and the output data is accessibility data from external sources. The server analyzes this data using a generative AI model and prepares to create an accessibility travel plan. 【0220】 Step 3: 【0221】 The server uses an AI model and sentiment analysis engine to analyze the collected data. The input data consists of accessibility information and user sentiment information, and the output is a personalized suggestions for travel destinations and routes. Specifically, IBM Watson analyzes the sentiment, and Hugging Face's Transformers are used as the generating AI model. 【0222】 Step 4: 【0223】 During travel, the device transmits location information to the server in real time. The server's input is location data from the device, and its output is immediate advice based on the location sent to the device. For example, the server provides information on barrier-free facilities near the user's current location. 【0224】 Step 5: 【0225】 The server supports user communication through its translation function. Input consists of the user's language and the content requiring translation, while output is the translated language data. Specifically, it uses the DeepL API to provide accurate translations and displays the results on the device. 【0226】 Step 6: 【0227】 Users receive customized travel destination information from the server via their device and act according to their travel plan. The output is reflected in the user's action plan, leading to increased user satisfaction. Specific actions include following navigation guides provided by the device. 【0228】 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. 【0229】 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. 【0230】 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. 【0231】 [Second Embodiment] 【0232】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0233】 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. 【0234】 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). 【0235】 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. 【0236】 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. 【0237】 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). 【0238】 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. 【0239】 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. 【0240】 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. 【0241】 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. 【0242】 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. 【0243】 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". 【0244】 This invention provides a system that allows wheelchair users to plan their trips and enjoy them with peace of mind. The system consists of a user, a terminal, and a server. 【0245】 First, the user performs the initial setup from their device. The user enters information such as special needs, travel destinations, and available transportation options to create a personalized profile. This profile is stored on the server as a foundation for optimizing the provision of travel information. 【0246】 The server collects accessibility information from external sources to the extent possible and analyzes the data using an AI agent. This analysis selects facilities and transportation options that users can use safely and comfortably, and generates a customized travel plan. 【0247】 The device notifies the user of the generated travel plan and provides the ability to modify it as needed. The user can instruct the system on travel dates and places they wish to visit, and fine-tune the plan. 【0248】 During travel, users can check their location and local conditions in real time. The device acquires the user's location information and sends it to the server. Based on this information, the server immediately provides optimal travel routes and information on available barrier-free facilities. 【0249】 Furthermore, when users encounter language barriers in their local area, they can utilize a multilingual dialogue support function via their device to facilitate smooth communication with local people. This function uses an AI model on the server to provide real-time translation and deliver necessary information to the user. 【0250】 For example, if a user visits Paris, France, the system will collect accessibility information around the Eiffel Tower and provide the user with information on the locations of elevators and accessible restrooms. Furthermore, it will recommend routes for safely viewing the tower's nighttime illuminations, enriching the travel experience. 【0251】 Thus, the embodiments of the present invention comprehensively support the user's travel, providing consistent support from the planning stage to real-time support during the trip. This system allows wheelchair users to visit various travel destinations with peace of mind and enjoy a comfortable vacation. 【0252】 The following describes the processing flow. 【0253】 Step 1: 【0254】 The user activates the device and enters personal information and special needs upon initial login. The device then sends this information to the server. 【0255】 Step 2: 【0256】 The server creates a user profile based on the received information and stores it in a database. This profile serves as the basis for customizing the information provided to the user. 【0257】 Step 3: 【0258】 The server sends requests to collect accessibility information about the destination from external information sources. The retrieved data is analyzed, and information relevant to the user's needs is extracted. 【0259】 Step 4: 【0260】 The server uses an AI agent to analyze the collected data and generate the optimal travel plan for the user. This plan includes information on tourist attractions, accommodations, and travel routes. 【0261】 Step 5: 【0262】 The terminal displays the travel plan received from the server to the user. The user reviews the plan and sends any necessary changes back to the server via the terminal. 【0263】 Step 6: 【0264】 When a user uses their device while traveling to check their location and local information, the device sends location data to a server, preparing to receive real-time support. 【0265】 Step 7: 【0266】 The server provides the user's device with the optimal travel route and accessibility information in real time, based on their current location. Emergency contact information and support details are also included as needed. 【0267】 Step 8: 【0268】 If a user requires support in the local language, the device sends a translation request to the server. The server uses AI to perform an automatic translation and sends the result to the device to assist the user's communication. 【0269】 This will create a system that wheelchair users can use with complete peace of mind, from planning their trips to receiving real-time support. 【0270】 (Example 1) 【0271】 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." 【0272】 For travelers using wheelchairs, a system is needed that allows for smooth travel planning and on-site transportation. However, currently, there is often a lack of accessibility information and real-time support, making it difficult for them to enjoy their trips with peace of mind. Solving this problem is essential. 【0273】 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. 【0274】 In this invention, the server includes means for creating a user profile based on the user's individual requirements, means for collecting accessibility-related information from external sources, analyzing it using a generative AI model, and creating a travel plan, and means for acquiring the user's location information in real time during the trip and providing the optimal travel route and information on available facilities. This makes it possible for travelers using wheelchairs to enjoy their trip with peace of mind and comfort. 【0275】 A "user profile" is a collection of information created based on the individual requirements and special needs of a user, and serves as the foundation for optimizing travel planning. 【0276】 "External information sources" refer to sources of information obtained from outside the system, such as public databases or reliable travel information websites. 【0277】 "Accessibility-related information" refers to information about facilities and means of transportation that users can access, and in particular includes data related to barrier-free access. 【0278】 A "generative AI model" is a type of artificial intelligence technology used to analyze large amounts of data and derive solutions in a specific way. 【0279】 A "travel plan" is a detailed schedule that includes destinations, transportation, accommodations, and other information, based on the user's needs. 【0280】 "Real-time location information" refers to information that indicates the user's location at the current time, and this information enables the most appropriate response to be taken on-site. 【0281】 "Multilingual dialogue support" is a function that enables communication in multiple languages, primarily using translation technology to facilitate smooth conversations with local people. 【0282】 This invention is a system that enables wheelchair users to plan and enjoy their trips with peace of mind. The main components of the system include a user, a terminal, and a server. 【0283】 The user accesses the system using a terminal and enters information related to the trip. The user enters their special needs, travel destination, and available means of transportation. The terminal receives this information and creates an individual "user profile". This profile information is sent to the server and stored in a secure database. 【0284】 The server utilizes a generative AI model to collect accessibility-related information from external information sources. Specifically, it obtains information on the locations of barrier-free facilities and available means of transportation from public databases and travel information websites. Through AI-based data analysis, this information is organized in the optimal form for the user and a customized "travel plan" is generated. 【0285】 In creating the travel plan, a generative AI model is used to design the plan based on a prompt sentence such as "Create an optimal sightseeing plan for wheelchair users visiting Paris, France". This generated plan is notified to the user's terminal, and the user can make fine adjustments to the travel schedule as needed. 【0286】 During the trip, the terminal collects the user's real-time location information and sends it to the server. The server processes this information in real time and provides the user with the optimal travel route and the latest information on barrier-free facilities. 【0287】 Furthermore, when the user faces a language barrier locally, multilingual dialogue support is provided via the terminal. The server uses an AI model to perform language translation and assist the user in communicating smoothly with local people. 【0288】 With this system, wheelchair users can visit various travel destinations with confidence and enjoy a comfortable vacation. 【0289】 The flow of the specific process in Example 1 will be described using FIG. 11. 【0290】 Step 1: 【0291】 Users create a user profile by entering their individual requirements using a terminal. The main inputs are special needs, desired destinations, and available modes of transportation. The terminal receives this input data, checks its integrity, and then sends the profile to the server in database format. The output is profile data that reflects the user's characteristics. 【0292】 Step 2: 【0293】 The server collects accessibility information from external sources based on user profiles received from terminals. The main inputs are profile data and information from external databases. The server first accesses the information providers and retrieves the necessary data. The output is a list of accessibility information for the target area. 【0294】 Step 3: 【0295】 The server analyzes the collected accessibility information using a generating AI model. The inputs are the accessibility information and user profile obtained in step 2. The AI ​​model utilizes prompts to generate commands, such as "Create an optimal sightseeing plan for a wheelchair user visiting Paris, France," and performs data analysis. The output is a customized travel plan. 【0296】 Step 4: 【0297】 The server sends the generated travel plan to the terminal. The terminal notifies the user of the plan, allowing the user to review and modify the plan through the interface. The input is the travel plan data from the server, and the output to the user is a travel plan for review. The user adjusts the details as needed, and the terminal accepts any new information. 【0298】 Step 5: 【0299】 During travel, the device periodically collects the user's real-time location information and sends it to the server. The input is GPS information, and after the device verifies the accuracy of the location information, it sends it to the server. Based on this information, the server updates available facilities and route information and sends it back to the device. This output is real-time travel assistance information. 【0300】 Step 6: 【0301】 If a user encounters a language problem, multilingual dialogue support is activated from the device. The input is the content that the user specifies needs to be translated, and the device sends this data to the server. The server uses an AI model to perform translation in real time and returns the result to the device. The output is the translated dialogue. 【0302】 (Application Example 1) 【0303】 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." 【0304】 Traditionally, it has been difficult for wheelchair users to obtain real-time information about accessibility at their travel destinations, ensuring they can travel with peace of mind. Furthermore, information regarding language barriers and travel routes was often lacking. There is a need for methods to alleviate these traveler anxieties and enable them to enjoy travel more comfortably and safely. 【0305】 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. 【0306】 In this invention, the server includes means for generating a profile based on the special needs of the user, means for analyzing information from external information sources to generate a travel plan including data related to accessibility, and means for obtaining the user's location information in real time during the trip and providing appropriate support information. As a result, travelers can visually confirm barrier-free information and easily operate the system using voice recognition. 【0307】 The "special needs of the user" refer to desires and requirements identified based on the individual physical conditions of the users and the individual requirements at the travel destination. 【0308】 The "means for generating a profile" refers to a system or process that registers and stores individual desires and conditions as data based on user input. 【0309】 The "external information source" is a source of accessible data provided by the Internet, public institutions, facilities, etc. 【0310】 The "data related to accessibility" refers to information regarding the barrier-free nature of facilities and transportation available to wheelchair users. 【0311】 The "means for generating a travel plan" refers to a function that formulates an optimal travel plan according to the needs of the user based on the collected data. 【0312】 The "means for obtaining the user's location information in real time and providing appropriate support information" refers to grasping the current location of the user during movement and immediately providing the necessary support information. 【0313】 The "means for providing multilingual dialogue support using a translation function" refers to a mechanism that performs real-time language translation to facilitate communication between users and local people. 【0314】 Augmented reality technology is a technique that overlays digital data onto real-world visual information for display. 【0315】 "Speech recognition technology" is a technology that converts voice input into text and uses that text to operate computers and systems. 【0316】 To implement this invention, the system consists mainly of the following hardware and software. First, the user wears smart glasses. These smart glasses are equipped with a GPS module for acquiring location information, a camera for recognizing the environment, and a microphone for receiving voice input. This hardware is used to acquire the user's dynamic location information and surrounding environment in real time. 【0317】 The server receives profile and location information sent by the user and, based on accessibility information obtained from external sources, provides the user with the most suitable travel routes and facility information. For information processing, it uses ARCore, an open-source AR library, and leverages augmented reality technology to overlay visual information on the smart glasses' display, allowing the user to check accessibility information in their surroundings. 【0318】 The system utilizes the Google Speech-to-Text API for speech recognition technology, instantly converting user voice commands into text to enable appropriate system responses. Furthermore, it employs the Google Translate API for real-time translation to support multilingual dialogue, eliminating language barriers for users. 【0319】 For example, when a user visits a tourist destination, information about the nearest accessible facilities will be displayed on the smart glasses' screen. Furthermore, by specifying a desired destination via voice command, the user will be guided to that location using both audio and visual information. If conversation with locals is necessary, the system can also translate their conversation in real time and display it to the user. 【0320】 An example of a prompt message would be: "Display barrier-free facilities around tourist attractions and provide voice guidance for the shortest route to those locations. Furthermore, translate and display conversations in the local language." This would allow users to enjoy their trip with peace of mind. 【0321】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0322】 Step 1: 【0323】 The user puts on smart glasses and activates the location services. The GPS module in the smart glasses activates and acquires the user's location information in real time. This entered location information is transmitted to the server via the terminal. 【0324】 Step 2: 【0325】 The server receives the user's location information and accesses external information sources to collect data on nearby accessibility facilities and travel routes. This data is filtered based on the user's current location, and only the most relevant information is extracted. This result is then sent from the server to the terminal as accessibility information. 【0326】 Step 3: 【0327】 The device displays the received accessibility information on the smart glasses' screen using an open-source AR library. This process overlays digital accessibility data onto real-world visual information, allowing the user to visually confirm their surroundings. 【0328】 Step 4: 【0329】 The user uses voice input to instruct the device on where they want to go or what information they want to know. The device uses a voice recognition API to convert the voice instructions into text. This result is analyzed by the device and the appropriate action is requested from the server. 【0330】 Step 5: 【0331】 The server generates and transmits customized travel routes and additional information based on voice commands. Using a generation AI model, it provides optimized route recommendations and accompanying information. The output is displayed on smart glasses via the device. 【0332】 Step 6: 【0333】 When linguistic interaction is required on-site, the user attempts to converse with locals using voice. The device records the conversation in real time, translates it using a multilingual translation AP, and displays the result on the smart glasses' display. This process enables the user to communicate smoothly in the local language. 【0334】 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. 【0335】 This invention is a system for providing travel support to wheelchair users, tailored to their specific needs and emotional state. The system is based on a user, a terminal, and a server. 【0336】 First, users create a profile via their device. Here, they enter personal information along with any special needs, preparing the system to provide the best possible service to them. This information is sent from the device to the server and stored in a database. 【0337】 Based on this profile, the server collects accessibility information from external sources. The collected data is analyzed using AI and an emotion engine to generate a customized travel plan based on the user's preferences and current emotional state. This plan includes destinations, accommodations, necessary travel routes, and available accessibility information. 【0338】 During their trip, users can receive real-time support through their device. The device sends the user's location information to the server. The server considers the user's location information and emotional data analyzed by the emotion engine to provide appropriate advice and support. For example, if the emotion engine determines that the user is feeling stressed, the server will recommend a route that allows for a more relaxed and calming experience. 【0339】 The translation function is also available in real time. When communicating with locals while traveling abroad, it is designed to translate in a tone that matches the user's emotions, making communication easy. 【0340】 For example, if a user feels stressed while traveling in Paris, the system will suggest relaxing parks or quiet restaurants. It will also adjust the tone of the translation to match the user's mood, enabling gentle conversations with local staff. In this way, it provides real-time support that is sensitive to the user's emotions, contributing to a safe and comfortable travel experience. 【0341】 Embodiments of the present invention create an environment in which wheelchair users can enjoy travel with peace of mind, according to their emotions and special needs. 【0342】 The following describes the processing flow. 【0343】 Step 1: 【0344】 The user starts up the device, accesses the profile creation screen, and enters personal information and special needs. The device then sends the entered information to the server. 【0345】 Step 2: 【0346】 The server generates a user profile based on the received information and stores it in a database. This profile is used to customize travel support. 【0347】 Step 3: 【0348】 The server collects accessibility and tourist information about destinations from external sources. This information is filtered based on the user's profile. 【0349】 Step 4: 【0350】 The server uses AI, including an emotion engine, to analyze collected information and generate a customized travel plan tailored to the user's specific needs and emotional state. The plan includes planned destinations, accommodations, and recommended travel routes. 【0351】 Step 5: 【0352】 The generated travel plan is sent to the device, and the user reviews the plan. When the user enters any desired changes, the device sends the modifications to the server. 【0353】 Step 6: 【0354】 During travel, the user uses their device to send real-time location information to the server. The device also acquires and transmits the user's emotional state. 【0355】 Step 7: 【0356】 Based on the user's location and sentiment data, the server provides the device with appropriate support information and modified travel routes in real time. For example, if the user needs to relax, a route to a quiet cafe or park might be recommended. 【0357】 Step 8: 【0358】 When a user needs assistance in the local language, the device sends a translation request to the server. The server adjusts the tone of the translation based on an emotion engine and sends the result to the device, facilitating smooth communication with local people. 【0359】 Through this process, users can enjoy a travel experience tailored to their specific needs and emotions. 【0360】 (Example 2) 【0361】 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". 【0362】 There is a need to provide appropriate, real-time support to individual users with special needs, including wheelchair users, to ensure they can enjoy their trip safely and comfortably. In particular, challenges include facilitating smooth communication in multilingual environments, customizing support based on the user's emotional state, and responding quickly to unexpected changes in circumstances during travel. 【0363】 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. 【0364】 In this invention, the server includes means for generating personal information based on the user's specific requirements, means for collecting data from external sources and analyzing it to generate a travel plan that includes data on environmental constraints, and means for acquiring the user's location data in real time during travel and providing appropriate support information. This enables customized travel support for the user that is tailored to their specific needs and emotions. 【0365】 "Users" refer to individuals who use this system to receive support for travel and transportation. 【0366】 "Special requirements" refer to the user's specific needs or limitations, which include, for example, mobility restrictions, visual impairments, and hearing impairments. 【0367】 "Personal information" refers to basic information about a user, including data such as name, contact information, and special needs. 【0368】 "External information sources" refer to information from external data providers and services that this system accesses and obtains information from. 【0369】 "Collecting data" refers to the process by which a system obtains necessary information from external sources and stores it appropriately in its own database. 【0370】 "Environmental constraints" refer to various limiting factors that users may face, such as physical, geographical, and social circumstances. 【0371】 A "travel plan" refers to a plan that includes specific destinations, travel routes, and accommodation information, all formulated based on the individual needs of the user. 【0372】 "Support information" refers to guidance and advice provided to users, including information on optimal routes for travel and recommended destinations. 【0373】 "Emotional state" refers to the user's psychological state and mood, including stress levels and degrees of comfort. 【0374】 "Multilingual dialogue support" refers to translation and interpretation functions that facilitate communication between users who speak different languages, as well as with local people. 【0375】 A "generative AI model" refers to an algorithm or system that uses artificial intelligence to analyze data and provide optimal suggestions and support tailored to the user's characteristics. 【0376】 This invention aims to provide customized travel assistance to travelers with special requirements, based on their needs and emotional state. In particular, it is a system that supports users in having a safe and comfortable experience while traveling. 【0377】 First, the user enters their personal information and special requirements using a terminal, creating a profile. This profile data is then sent from the terminal to the server. The server securely stores this information in a database using a database management system. 【0378】 Next, the server collects the necessary data from external sources. Specifically, it uses APIs from public map information and tourism information services to obtain information on barrier-free tourist spots and accommodations. This information is input into a generative AI model and an emotion engine, which are then analyzed based on the user's profile. 【0379】 The server utilizes a generative AI model to automatically generate travel plans that take into account the user's characteristics and current emotional state. These travel plans include destinations, recommended routes, and accessibility information. 【0380】 During their trip, users receive real-time support from a server via their device. The server analyzes location data transmitted from the device and provides necessary support information and advice based on the user's stress levels and anxiety. For example, if a user is feeling stressed, the server might recommend a relaxing park or a quiet cafe. 【0381】 Furthermore, the device helps users communicate smoothly with people who speak other languages ​​through its translation function. The translation can adjust its tone based on the user's emotional state. 【0382】 As a concrete example, one possible prompt message is: "Please suggest a barrier-free travel plan for a wheelchair user. The user is currently in Paris and is looking for a place to relax." By inputting this prompt message into the server's AI, it becomes possible to generate a suitable travel plan. 【0383】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0384】 Step 1: 【0385】 The user uses the device to create a profile. Here, the user enters personal information and special requirements. The entered data is temporarily stored by the device. The input in this step is personal information provided by the user, and the output is profile data generated by the device. The device also performs input validation to verify that the input data is complete and accurate. 【0386】 Step 2: 【0387】 The terminal sends profile data to the server. The information is sent via a secure communication protocol and stored in a database by the server. The input for this step is the profile data, and the output is the user information stored in the database. The server verifies that the data has been stored correctly. 【0388】 Step 3: 【0389】 The server collects accessibility-related data from external sources. This is done using public map information and specific APIs. The input for this step is the necessary data determined by the user profile, and the output is data about environmental constraints. The server organizes the collected data and prepares it for the next analysis step. 【0390】 Step 4: 【0391】 The server processes the collected data into a generating AI model to create travel plans based on user needs. The input consists of data on environmental constraints and user profiles, while the output is a customized travel plan. Here, the AI ​​performs analysis, taking into account the user's characteristics and current emotional state. 【0392】 Step 5: 【0393】 Once the trip begins, the user transmits location information in real time using their device. The device uses a GPS module to acquire location information and sends it to the server. The input is the user's current location, and the output is the transmission of location information data. 【0394】 Step 6: 【0395】 The server receives location information and integrates it with sentiment data analyzed by the sentiment engine. Based on this data, it provides appropriate support information and advice in real time. The input for this step is location information and sentiment data, and the output is customized advice. 【0396】 Step 7: 【0397】 The device assists user communication through its translation function. It adjusts the translation tone according to the specific emotion being conveyed. The input is the language data the user needs, and the output is the tone-adjusted translation result. 【0398】 Step 8: 【0399】 The server receives user feedback and uses it to improve future plans. The input is user feedback, and the output is a new travel plan or improved support that reflects that feedback. This feedback loop facilitates continuous system optimization. 【0400】 (Application Example 2) 【0401】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal". 【0402】 It is essential to provide a safe and comfortable travel experience for travelers with special needs, including wheelchair users. However, existing systems struggle to respond to users' real-time emotional states and special needs during travel planning and travel, and there is a lack of approaches to provide smooth multilingual communication. In such situations, users may experience stress or inconvenience. 【0403】 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. 【0404】 In this invention, the server includes means for generating a profile based on the user's specific needs, means for collecting and analyzing data from external information sources to generate an accessibility-related travel plan, means for acquiring the user's location information in real time during the trip and providing appropriate advice, means for analyzing emotions and suggesting appropriate travel destinations and routes based on the user's emotional state, and means for supporting multilingual dialogue using a translation function. This makes it possible to provide users with a customized travel experience that is sensitive to their emotions. 【0405】 "Special needs" refer to specific requirements or conditions that distinguish a user from typical travelers, such as needing particular assistance. 【0406】 A "profile" is data that records a user's personal information and special needs. 【0407】 "External information sources" refer to third-party information sources that provide various data related to travel. 【0408】 "Accessibility" refers to the characteristics of facilities and services that can be comfortably used by people with special needs. 【0409】 A "travel plan" is a travel itinerary and plan created for the user. 【0410】 "Real-time" means that data can be used and provided immediately without any time delay. 【0411】 "Location information" refers to data that indicates the specific geographical location where the user is currently located. 【0412】 "Advice information" refers to suggestions and guidance provided to help users resolve potential problems and anxieties they may face. 【0413】 "Emotional analysis" is the process of analyzing and understanding a user's emotional state as data. 【0414】 A "translation function" is a feature that converts languages ​​to support communication between multiple languages. 【0415】 This system provides real-time support for the travel needs of wheelchair users. Users first enter a profile, including their specific needs, via a terminal. This data is sent to a server and forms the basis for customized support throughout the trip. 【0416】 Based on the user's profile, the server collects accessibility information from external sources and analyzes the data using AI. The server then uses this information to create barrier-free travel plans. An emotion analysis engine also considers the user's emotional state based on their input, optimizing travel destinations and routes. 【0417】 During travel, the user's device provides real-time location information to the server, allowing for immediate and appropriate advice. For example, by combining AI technology (Hugging Face's Transformers) with an emotion analysis engine (IBM Watson), a calming environment can be suggested if the user is currently feeling anxious. When users interact with locals abroad, they can receive appropriate multilingual support through a translation function. This translation function utilizes, for example, the DeepL API. 【0418】 For example, if a user visiting Tokyo feels tired in the afternoon, the device will suggest a nearby quiet cafe or park, based on sentiment analysis data. Furthermore, by utilizing the translation function for communication with local staff, users can enjoy their experience without stress. 【0419】 Examples of prompts for a generative AI model are as follows: 【0420】 "Please create an accessible plan for wheelchair travelers. Current location and emotional data indicate stress levels. Reflect the city's accessibility information and recommend places where they can relax." 【0421】 This format allows for detailed support tailored to the diverse needs of users, providing a safe and comfortable travel experience. 【0422】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0423】 Step 1: 【0424】 The user enters their profile information using a device. This profile includes special needs and personal information. The entered data is sent from the device to a server, which stores it in a database and uses it as basic data for travel planning. 【0425】 Step 2: 【0426】 The server collects accessibility information from external sources based on the user's profile. The input data is profile information, and the output data is accessibility data from external sources. The server analyzes this data using a generative AI model and prepares to create an accessibility travel plan. 【0427】 Step 3: 【0428】 The server uses an AI model and sentiment analysis engine to analyze the collected data. The input data consists of accessibility information and user sentiment information, and the output is a personalized suggestions for travel destinations and routes. Specifically, IBM Watson analyzes the sentiment, and Hugging Face's Transformers are used as the generating AI model. 【0429】 Step 4: 【0430】 During travel, the device transmits location information to the server in real time. The server's input is location data from the device, and its output is immediate advice based on the location sent to the device. For example, the server provides information on barrier-free facilities near the user's current location. 【0431】 Step 5: 【0432】 The server supports user communication through its translation function. Input consists of the user's language and the content requiring translation, while output is the translated language data. Specifically, it uses the DeepL API to provide accurate translations and displays the results on the device. 【0433】 Step 6: 【0434】 Users receive customized travel destination information from the server via their device and act according to their travel plan. The output is reflected in the user's action plan, leading to increased user satisfaction. Specific actions include following navigation guides provided by the device. 【0435】 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. 【0436】 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. 【0437】 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. 【0438】 [Third Embodiment] 【0439】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0440】 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. 【0441】 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). 【0442】 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. 【0443】 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. 【0444】 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). 【0445】 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. 【0446】 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. 【0447】 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. 【0448】 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. 【0449】 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. 【0450】 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". 【0451】 This invention provides a system that allows wheelchair users to plan their trips and enjoy them with peace of mind. The system consists of a user, a terminal, and a server. 【0452】 First, the user performs the initial setup from their device. The user enters information such as special needs, travel destinations, and available transportation options to create a personalized profile. This profile is stored on the server as a foundation for optimizing the provision of travel information. 【0453】 The server collects accessibility information from external sources to the extent possible and analyzes the data using an AI agent. This analysis selects facilities and transportation options that users can use safely and comfortably, and generates a customized travel plan. 【0454】 The device notifies the user of the generated travel plan and provides the ability to modify it as needed. The user can instruct the system on travel dates and places they wish to visit, and fine-tune the plan. 【0455】 During travel, users can check their location and local conditions in real time. The device acquires the user's location information and sends it to the server. Based on this information, the server immediately provides optimal travel routes and information on available barrier-free facilities. 【0456】 Furthermore, when users encounter language barriers in their local area, they can utilize a multilingual dialogue support function via their device to facilitate smooth communication with local people. This function uses an AI model on the server to provide real-time translation and deliver necessary information to the user. 【0457】 For example, if a user visits Paris, France, the system will collect accessibility information around the Eiffel Tower and provide the user with information on the locations of elevators and accessible restrooms. Furthermore, it will recommend routes for safely viewing the tower's nighttime illuminations, enriching the travel experience. 【0458】 Thus, the embodiments of the present invention comprehensively support the user's travel, providing consistent support from the planning stage to real-time support during the trip. This system allows wheelchair users to visit various travel destinations with peace of mind and enjoy a comfortable vacation. 【0459】 The following describes the processing flow. 【0460】 Step 1: 【0461】 The user activates the device and enters personal information and special needs upon initial login. The device then sends this information to the server. 【0462】 Step 2: 【0463】 The server creates a user profile based on the received information and stores it in a database. This profile serves as the basis for customizing the information provided to the user. 【0464】 Step 3: 【0465】 The server sends requests to collect accessibility information about the destination from external information sources. The retrieved data is analyzed, and information relevant to the user's needs is extracted. 【0466】 Step 4: 【0467】 The server uses an AI agent to analyze the collected data and generate the optimal travel plan for the user. This plan includes information on tourist attractions, accommodations, and travel routes. 【0468】 Step 5: 【0469】 The terminal displays the travel plan received from the server to the user. The user reviews the plan and sends any necessary changes back to the server via the terminal. 【0470】 Step 6: 【0471】 When a user uses their device while traveling to check their location and local information, the device sends location data to a server, preparing to receive real-time support. 【0472】 Step 7: 【0473】 The server provides the user's device with the optimal travel route and accessibility information in real time, based on their current location. Emergency contact information and support details are also included as needed. 【0474】 Step 8: 【0475】 If a user requires support in the local language, the device sends a translation request to the server. The server uses AI to perform an automatic translation and sends the result to the device to assist the user's communication. 【0476】 This will create a system that wheelchair users can use with complete peace of mind, from planning their trips to receiving real-time support. 【0477】 (Example 1) 【0478】 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." 【0479】 For travelers using wheelchairs, a system is needed that allows for smooth travel planning and on-site transportation. However, currently, there is often a lack of accessibility information and real-time support, making it difficult for them to enjoy their trips with peace of mind. Solving this problem is essential. 【0480】 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. 【0481】 In this invention, the server includes means for creating a user profile based on the user's individual requirements, means for collecting accessibility-related information from external sources, analyzing it using a generative AI model, and creating a travel plan, and means for acquiring the user's location information in real time during the trip and providing the optimal travel route and information on available facilities. This makes it possible for travelers using wheelchairs to enjoy their trip with peace of mind and comfort. 【0482】 A "user profile" is a collection of information created based on the individual requirements and special needs of a user, and serves as the foundation for optimizing travel planning. 【0483】 "External information sources" refer to sources of information obtained from outside the system, such as public databases or reliable travel information websites. 【0484】 "Accessibility-related information" refers to information about facilities and means of transportation that users can access, and in particular includes data related to barrier-free access. 【0485】 A "generative AI model" is a type of artificial intelligence technology used to analyze large amounts of data and derive solutions in a specific way. 【0486】 A "travel plan" is a detailed schedule that includes destinations, transportation, accommodations, and other information, based on the user's needs. 【0487】 "Real-time location information" refers to information that indicates the user's location at the current time, and this information enables the most appropriate response to be taken on-site. 【0488】 "Multilingual dialogue support" is a function that enables communication in multiple languages, primarily using translation technology to facilitate smooth conversations with local people. 【0489】 This invention is a system that enables wheelchair users to plan and enjoy their trips with peace of mind. The main components of the system include a user, a terminal, and a server. 【0490】 Users access the system using a terminal and enter travel-related information. Users input their specific needs, destinations, and available modes of transportation, and the terminal receives this information to create an individual "user profile." This profile information is sent to a server and stored in a secure database. 【0491】 The server utilizes a generative AI model to collect accessibility-related information from external sources. Specifically, it obtains information on the locations of barrier-free facilities and available transportation options from public databases and travel information websites. Through AI-driven data analysis, this information is organized in a way that is optimal for the user, generating a customized "travel plan." 【0492】 In creating travel plans, a generative AI model is used to design plans based on prompts such as, "Create an optimal sightseeing plan for a wheelchair user visiting Paris, France." The generated plan is notified to the user's device, and the user can fine-tune the travel itinerary as needed. 【0493】 During travel, the device collects the user's real-time location information and sends it to the server. The server processes this information in real time and provides the user with the most suitable travel routes and up-to-date information on accessible facilities. 【0494】 Furthermore, when users encounter language barriers locally, the system provides multilingual dialogue support via the device. The server uses an AI model to translate languages, helping users communicate smoothly with local people. 【0495】 This system will allow wheelchair users to visit various travel destinations with peace of mind and enjoy comfortable vacations. 【0496】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0497】 Step 1: 【0498】 Users create a user profile by entering their individual requirements using a terminal. The main inputs are special needs, desired destinations, and available modes of transportation. The terminal receives this input data, checks its integrity, and then sends the profile to the server in database format. The output is profile data that reflects the user's characteristics. 【0499】 Step 2: 【0500】 The server collects accessibility information from external sources based on user profiles received from terminals. The main inputs are profile data and information from external databases. The server first accesses the information providers and retrieves the necessary data. The output is a list of accessibility information for the target area. 【0501】 Step 3: 【0502】 The server analyzes the collected accessibility information using a generating AI model. The inputs are the accessibility information and user profile obtained in step 2. The AI ​​model utilizes prompts to generate commands, such as "Create an optimal sightseeing plan for a wheelchair user visiting Paris, France," and performs data analysis. The output is a customized travel plan. 【0503】 Step 4: 【0504】 The server sends the generated travel plan to the terminal. The terminal notifies the user of the plan, allowing the user to review and modify the plan through the interface. The input is the travel plan data from the server, and the output to the user is a travel plan for review. The user adjusts the details as needed, and the terminal accepts any new information. 【0505】 Step 5: 【0506】 During travel, the device periodically collects the user's real-time location information and sends it to the server. The input is GPS information, and after the device verifies the accuracy of the location information, it sends it to the server. Based on this information, the server updates available facilities and route information and sends it back to the device. This output is real-time travel assistance information. 【0507】 Step 6: 【0508】 If a user encounters a language problem, multilingual dialogue support is activated from the device. The input is the content that the user specifies needs to be translated, and the device sends this data to the server. The server uses an AI model to perform translation in real time and returns the result to the device. The output is the translated dialogue. 【0509】 (Application Example 1) 【0510】 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." 【0511】 Traditionally, it has been difficult for wheelchair users to obtain real-time information about accessibility at their travel destinations, ensuring they can travel with peace of mind. Furthermore, information regarding language barriers and travel routes was often lacking. There is a need for methods to alleviate these traveler anxieties and enable them to enjoy travel more comfortably and safely. 【0512】 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. 【0513】 In this invention, the server includes means for generating a profile based on the user's specific needs, means for analyzing information from external information sources to generate a travel plan that includes accessibility data, and means for acquiring the user's location information in real time during the trip and providing appropriate support information. This allows travelers to visually confirm accessibility information and easily operate the system using voice recognition. 【0514】 "Special user needs" refer to requests and requirements identified based on the individual user's physical condition or specific requirements at their travel destination. 【0515】 "Means for generating profiles" refers to systems or processes that register and store individual requests and conditions as data based on user input. 【0516】 "External information sources" refer to sources of accessible data provided from the internet, public institutions, facilities, etc. 【0517】 "Accessibility data" refers to information regarding the accessibility of facilities and transportation systems that are accessible to wheelchair users. 【0518】 "Means for generating travel plans" refers to a function that uses collected data to formulate optimal travel plans tailored to the user's needs. 【0519】 "Means of acquiring user location information in real time and providing appropriate support information" means determining the current location of a user while they are on the move and providing the necessary support information immediately. 【0520】 "Methods for supporting multilingual dialogue using translation functions" refer to systems that translate languages ​​in real time to facilitate communication between users and local people. 【0521】 Augmented reality technology is a technique that overlays digital data onto real-world visual information for display. 【0522】 "Speech recognition technology" is a technology that converts voice input into text and uses that text to operate computers and systems. 【0523】 To implement this invention, the system consists mainly of the following hardware and software. First, the user wears smart glasses. These smart glasses are equipped with a GPS module for acquiring location information, a camera for recognizing the environment, and a microphone for receiving voice input. This hardware is used to acquire the user's dynamic location information and surrounding environment in real time. 【0524】 The server receives profile and location information sent by the user and, based on accessibility information obtained from external sources, provides the user with the most suitable travel routes and facility information. For information processing, it uses ARCore, an open-source AR library, and leverages augmented reality technology to overlay visual information on the smart glasses' display, allowing the user to check accessibility information in their surroundings. 【0525】 The system utilizes the Google Speech-to-Text API for speech recognition technology, instantly converting user voice commands into text to enable appropriate system responses. Furthermore, it employs the Google Translate API for real-time translation to support multilingual dialogue, eliminating language barriers for users. 【0526】 For example, when a user visits a tourist destination, information about the nearest accessible facilities will be displayed on the smart glasses' screen. Furthermore, by specifying a desired destination via voice command, the user will be guided to that location using both audio and visual information. If conversation with locals is necessary, the system can also translate their conversation in real time and display it to the user. 【0527】 An example of a prompt message would be: "Display barrier-free facilities around tourist attractions and provide voice guidance for the shortest route to those locations. Furthermore, translate and display conversations in the local language." This would allow users to enjoy their trip with peace of mind. 【0528】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0529】 Step 1: 【0530】 The user puts on smart glasses and activates the location services. The GPS module in the smart glasses activates and acquires the user's location information in real time. This entered location information is transmitted to the server via the terminal. 【0531】 Step 2: 【0532】 The server receives the user's location information and accesses external information sources to collect data on nearby accessibility facilities and travel routes. This data is filtered based on the user's current location, and only the most relevant information is extracted. This result is then sent from the server to the terminal as accessibility information. 【0533】 Step 3: 【0534】 The device displays the received accessibility information on the smart glasses' screen using an open-source AR library. This process overlays digital accessibility data onto real-world visual information, allowing the user to visually confirm their surroundings. 【0535】 Step 4: 【0536】 The user uses voice input to instruct the device on where they want to go or what information they want to know. The device uses a voice recognition API to convert the voice instructions into text. This result is analyzed by the device and the appropriate action is requested from the server. 【0537】 Step 5: 【0538】 The server generates and transmits customized travel routes and additional information based on voice commands. Using a generation AI model, it provides optimized route recommendations and accompanying information. The output is displayed on smart glasses via the device. 【0539】 Step 6: 【0540】 When linguistic interaction is required on-site, the user attempts to converse with locals using voice. The device records the conversation in real time, translates it using a multilingual translation AP, and displays the result on the smart glasses' display. This process enables the user to communicate smoothly in the local language. 【0541】 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. 【0542】 This invention is a system for providing travel support to wheelchair users, tailored to their specific needs and emotional state. The system is based on a user, a terminal, and a server. 【0543】 First, users create a profile via their device. Here, they enter personal information along with any special needs, preparing the system to provide the best possible service to them. This information is sent from the device to the server and stored in a database. 【0544】 Based on this profile, the server collects accessibility information from external sources. The collected data is analyzed using AI and an emotion engine to generate a customized travel plan based on the user's preferences and current emotional state. This plan includes destinations, accommodations, necessary travel routes, and available accessibility information. 【0545】 During their trip, users can receive real-time support through their device. The device sends the user's location information to the server. The server considers the user's location information and emotional data analyzed by the emotion engine to provide appropriate advice and support. For example, if the emotion engine determines that the user is feeling stressed, the server will recommend a route that allows for a more relaxed and calming experience. 【0546】 The translation function is also available in real time. When communicating with locals while traveling abroad, it is designed to translate in a tone that matches the user's emotions, making communication easy. 【0547】 For example, if a user feels stressed while traveling in Paris, the system will suggest relaxing parks or quiet restaurants. It will also adjust the tone of the translation to match the user's mood, enabling gentle conversations with local staff. In this way, it provides real-time support that is sensitive to the user's emotions, contributing to a safe and comfortable travel experience. 【0548】 Embodiments of the present invention create an environment in which wheelchair users can enjoy travel with peace of mind, according to their emotions and special needs. 【0549】 The following describes the processing flow. 【0550】 Step 1: 【0551】 The user starts up the device, accesses the profile creation screen, and enters personal information and special needs. The device then sends the entered information to the server. 【0552】 Step 2: 【0553】 The server generates a user profile based on the received information and stores it in a database. This profile is used to customize travel support. 【0554】 Step 3: 【0555】 The server collects accessibility and tourist information about destinations from external sources. This information is filtered based on the user's profile. 【0556】 Step 4: 【0557】 The server uses AI, including an emotion engine, to analyze collected information and generate a customized travel plan tailored to the user's specific needs and emotional state. The plan includes planned destinations, accommodations, and recommended travel routes. 【0558】 Step 5: 【0559】 The generated travel plan is sent to the device, and the user reviews the plan. When the user enters any desired changes, the device sends the modifications to the server. 【0560】 Step 6: 【0561】 During travel, the user uses their device to send real-time location information to the server. The device also acquires and transmits the user's emotional state. 【0562】 Step 7: 【0563】 Based on the user's location and sentiment data, the server provides the device with appropriate support information and modified travel routes in real time. For example, if the user needs to relax, a route to a quiet cafe or park might be recommended. 【0564】 Step 8: 【0565】 When a user needs assistance in the local language, the device sends a translation request to the server. The server adjusts the tone of the translation based on an emotion engine and sends the result to the device, facilitating smooth communication with local people. 【0566】 Through this process, users can enjoy a travel experience tailored to their specific needs and emotions. 【0567】 (Example 2) 【0568】 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." 【0569】 There is a need to provide appropriate, real-time support to individual users with special needs, including wheelchair users, to ensure they can enjoy their trip safely and comfortably. In particular, challenges include facilitating smooth communication in multilingual environments, customizing support based on the user's emotional state, and responding quickly to unexpected changes in circumstances during travel. 【0570】 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. 【0571】 In this invention, the server includes means for generating personal information based on the user's specific requirements, means for collecting data from external sources and analyzing it to generate a travel plan that includes data on environmental constraints, and means for acquiring the user's location data in real time during travel and providing appropriate support information. This enables customized travel support for the user that is tailored to their specific needs and emotions. 【0572】 "Users" refer to individuals who use this system to receive support for travel and transportation. 【0573】 "Special requirements" refer to the user's specific needs or limitations, which include, for example, mobility restrictions, visual impairments, and hearing impairments. 【0574】 "Personal information" refers to basic information about a user, including data such as name, contact information, and special needs. 【0575】 "External information sources" refer to information from external data providers and services that this system accesses and obtains information from. 【0576】 "Collecting data" refers to the process by which a system obtains necessary information from external sources and stores it appropriately in its own database. 【0577】 "Environmental constraints" refer to various limiting factors that users may face, such as physical, geographical, and social circumstances. 【0578】 A "travel plan" refers to a plan that includes specific destinations, travel routes, and accommodation information, all formulated based on the individual needs of the user. 【0579】 "Support information" refers to guidance and advice provided to users, including information on optimal routes for travel and recommended destinations. 【0580】 "Emotional state" refers to the user's psychological state and mood, including stress levels and degrees of comfort. 【0581】 "Multilingual dialogue support" refers to translation and interpretation functions that facilitate communication between users who speak different languages, as well as with local people. 【0582】 A "generative AI model" refers to an algorithm or system that uses artificial intelligence to analyze data and provide optimal suggestions and support tailored to the user's characteristics. 【0583】 This invention aims to provide customized travel assistance to travelers with special requirements, based on their needs and emotional state. In particular, it is a system that supports users in having a safe and comfortable experience while traveling. 【0584】 First, the user enters their personal information and special requirements using a terminal, creating a profile. This profile data is then sent from the terminal to the server. The server securely stores this information in a database using a database management system. 【0585】 Next, the server collects the necessary data from external sources. Specifically, it uses APIs from public map information and tourism information services to obtain information on barrier-free tourist spots and accommodations. This information is input into a generative AI model and an emotion engine, which are then analyzed based on the user's profile. 【0586】 The server utilizes a generative AI model to automatically generate travel plans that take into account the user's characteristics and current emotional state. These travel plans include destinations, recommended routes, and accessibility information. 【0587】 During their trip, users receive real-time support from a server via their device. The server analyzes location data transmitted from the device and provides necessary support information and advice based on the user's stress levels and anxiety. For example, if a user is feeling stressed, the server might recommend a relaxing park or a quiet cafe. 【0588】 Furthermore, the device helps users communicate smoothly with people who speak other languages ​​through its translation function. The translation can adjust its tone based on the user's emotional state. 【0589】 As a concrete example, one possible prompt message is: "Please suggest a barrier-free travel plan for a wheelchair user. The user is currently in Paris and is looking for a place to relax." By inputting this prompt message into the server's AI, it becomes possible to generate a suitable travel plan. 【0590】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0591】 Step 1: 【0592】 The user uses the device to create a profile. Here, the user enters personal information and special requirements. The entered data is temporarily stored by the device. The input in this step is personal information provided by the user, and the output is profile data generated by the device. The device also performs input validation to verify that the input data is complete and accurate. 【0593】 Step 2: 【0594】 The terminal sends profile data to the server. The information is sent via a secure communication protocol and stored in a database by the server. The input for this step is the profile data, and the output is the user information stored in the database. The server verifies that the data has been stored correctly. 【0595】 Step 3: 【0596】 The server collects accessibility-related data from external sources. This is done using public map information and specific APIs. The input for this step is the necessary data determined by the user profile, and the output is data about environmental constraints. The server organizes the collected data and prepares it for the next analysis step. 【0597】 Step 4: 【0598】 The server processes the collected data into a generating AI model to create travel plans based on user needs. The input consists of data on environmental constraints and user profiles, while the output is a customized travel plan. Here, the AI ​​performs analysis, taking into account the user's characteristics and current emotional state. 【0599】 Step 5: 【0600】 Once the trip begins, the user transmits location information in real time using their device. The device uses a GPS module to acquire location information and sends it to the server. The input is the user's current location, and the output is the transmission of location information data. 【0601】 Step 6: 【0602】 The server receives location information and integrates it with sentiment data analyzed by the sentiment engine. Based on this data, it provides appropriate support information and advice in real time. The input for this step is location information and sentiment data, and the output is customized advice. 【0603】 Step 7: 【0604】 The device assists user communication through its translation function. It adjusts the translation tone according to the specific emotion being conveyed. The input is the language data the user needs, and the output is the tone-adjusted translation result. 【0605】 Step 8: 【0606】 The server receives user feedback and uses it to improve future plans. The input is user feedback, and the output is a new travel plan or improved support that reflects that feedback. This feedback loop facilitates continuous system optimization. 【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】 It is essential to provide a safe and comfortable travel experience for travelers with special needs, including wheelchair users. However, existing systems struggle to respond to users' real-time emotional states and special needs during travel planning and travel, and there is a lack of approaches to provide smooth multilingual communication. In such situations, users may experience stress or inconvenience. 【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 means for generating a profile based on the user's specific needs, means for collecting and analyzing data from external information sources to generate an accessibility-related travel plan, means for acquiring the user's location information in real time during the trip and providing appropriate advice, means for analyzing emotions and suggesting appropriate travel destinations and routes based on the user's emotional state, and means for supporting multilingual dialogue using a translation function. This makes it possible to provide users with a customized travel experience that is sensitive to their emotions. 【0612】 "Special needs" refer to specific requirements or conditions that distinguish a user from typical travelers, such as needing particular assistance. 【0613】 A "profile" is data that records a user's personal information and special needs. 【0614】 "External information sources" refer to third-party information sources that provide various data related to travel. 【0615】 "Accessibility" refers to the characteristics of facilities and services that can be comfortably used by people with special needs. 【0616】 A "travel plan" is a travel itinerary and plan created for the user. 【0617】 "Real-time" means that data can be used and provided immediately without any time delay. 【0618】 "Location information" refers to data that indicates the specific geographical location where the user is currently located. 【0619】 "Advice information" refers to suggestions and guidance provided to help users resolve potential problems and anxieties they may face. 【0620】 "Emotional analysis" is the process of analyzing and understanding a user's emotional state as data. 【0621】 A "translation function" is a feature that converts languages ​​to support communication between multiple languages. 【0622】 This system provides real-time support for the travel needs of wheelchair users. Users first enter a profile, including their specific needs, via a terminal. This data is sent to a server and forms the basis for customized support throughout the trip. 【0623】 Based on the user's profile, the server collects accessibility information from external sources and analyzes the data using AI. The server then uses this information to create barrier-free travel plans. An emotion analysis engine also considers the user's emotional state based on their input, optimizing travel destinations and routes. 【0624】 During travel, the user's device provides real-time location information to the server, allowing for immediate and appropriate advice. For example, by combining AI technology (Hugging Face's Transformers) with an emotion analysis engine (IBM Watson), a calming environment can be suggested if the user is currently feeling anxious. When users interact with locals abroad, they can receive appropriate multilingual support through a translation function. This translation function utilizes, for example, the DeepL API. 【0625】 For example, if a user visiting Tokyo feels tired in the afternoon, the device will suggest a nearby quiet cafe or park, based on sentiment analysis data. Furthermore, by utilizing the translation function for communication with local staff, users can enjoy their experience without stress. 【0626】 Examples of prompts for a generative AI model are as follows: 【0627】 "Please create an accessible plan for wheelchair users. Current location and emotional data indicate stress levels. Reflect the city's accessibility information and recommend places where they can relax." 【0628】 This format allows for detailed support tailored to the diverse needs of users, providing a safe and comfortable travel experience. 【0629】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0630】 Step 1: 【0631】 The user enters their profile information using a device. This profile includes special needs and personal information. The entered data is sent from the device to a server, which stores it in a database and uses it as basic data for travel planning. 【0632】 Step 2: 【0633】 The server collects accessibility information from external sources based on the user's profile. The input data is profile information, and the output data is accessibility data from external sources. The server analyzes this data using a generative AI model and prepares to create an accessibility travel plan. 【0634】 Step 3: 【0635】 The server uses an AI model and sentiment analysis engine to analyze the collected data. The input data consists of accessibility information and user sentiment information, and the output is a personalized suggestions for travel destinations and routes. Specifically, IBM Watson analyzes the sentiment, and Hugging Face's Transformers are used as the generating AI model. 【0636】 Step 4: 【0637】 During travel, the device transmits location information to the server in real time. The server's input is location data from the device, and its output is immediate advice based on the location sent to the device. For example, the server provides information on barrier-free facilities near the user's current location. 【0638】 Step 5: 【0639】 The server supports user communication through its translation function. Input consists of the user's language and the content requiring translation, while output is the translated language data. Specifically, it uses the DeepL API to provide accurate translations and displays the results on the device. 【0640】 Step 6: 【0641】 Users receive customized travel destination information from the server via their device and act according to their travel plan. The output is reflected in the user's action plan, leading to increased user satisfaction. Specific actions include following navigation guides provided by the device. 【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】 This invention provides a system that allows wheelchair users to plan their trips and enjoy them with peace of mind. The system consists of a user, a terminal, and a server. 【0660】 First, the user performs the initial setup from their device. The user enters information such as special needs, travel destinations, and available transportation options to create a personalized profile. This profile is stored on the server as a foundation for optimizing the provision of travel information. 【0661】 The server collects accessibility information from external sources to the extent possible and analyzes the data using an AI agent. This analysis selects facilities and transportation options that users can use safely and comfortably, and generates a customized travel plan. 【0662】 The device notifies the user of the generated travel plan and provides the ability to modify it as needed. The user can instruct the system on travel dates and places they wish to visit, and fine-tune the plan. 【0663】 During travel, users can check their location and local conditions in real time. The device acquires the user's location information and sends it to the server. Based on this information, the server immediately provides optimal travel routes and information on available barrier-free facilities. 【0664】 Furthermore, when users encounter language barriers in their local area, they can utilize a multilingual dialogue support function via their device to facilitate smooth communication with local people. This function uses an AI model on the server to provide real-time translation and deliver necessary information to the user. 【0665】 For example, if a user visits Paris, France, the system will collect accessibility information around the Eiffel Tower and provide the user with information on the locations of elevators and accessible restrooms. Furthermore, it will recommend routes for safely viewing the tower's nighttime illuminations, enriching the travel experience. 【0666】 Thus, the embodiments of the present invention comprehensively support the user's travel, providing consistent support from the planning stage to real-time support during the trip. This system allows wheelchair users to visit various travel destinations with peace of mind and enjoy a comfortable vacation. 【0667】 The following describes the processing flow. 【0668】 Step 1: 【0669】 The user activates the device and enters personal information and special needs upon initial login. The device then sends this information to the server. 【0670】 Step 2: 【0671】 The server creates a user profile based on the received information and stores it in a database. This profile serves as the basis for customizing the information provided to the user. 【0672】 Step 3: 【0673】 The server sends requests to collect accessibility information about the destination from external information sources. The retrieved data is analyzed, and information relevant to the user's needs is extracted. 【0674】 Step 4: 【0675】 The server uses an AI agent to analyze the collected data and generate the optimal travel plan for the user. This plan includes information on tourist attractions, accommodations, and travel routes. 【0676】 Step 5: 【0677】 The terminal displays the travel plan received from the server to the user. The user reviews the plan and sends any necessary changes back to the server via the terminal. 【0678】 Step 6: 【0679】 When a user uses their device while traveling to check their location and local information, the device sends location data to a server, preparing to receive real-time support. 【0680】 Step 7: 【0681】 The server provides the user's device with the optimal travel route and accessibility information in real time, based on their current location. Emergency contact information and support details are also included as needed. 【0682】 Step 8: 【0683】 If a user requires support in the local language, the device sends a translation request to the server. The server uses AI to perform an automatic translation and sends the result to the device to assist the user's communication. 【0684】 This will create a system that wheelchair users can use with complete peace of mind, from planning their trips to receiving real-time support. 【0685】 (Example 1) 【0686】 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". 【0687】 For travelers using wheelchairs, a system is needed that allows for smooth travel planning and on-site transportation. However, currently, there is often a lack of accessibility information and real-time support, making it difficult for them to enjoy their trips with peace of mind. Solving this problem is essential. 【0688】 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. 【0689】 In this invention, the server includes means for creating a user profile based on the user's individual requirements, means for collecting accessibility-related information from external sources, analyzing it using a generative AI model, and creating a travel plan, and means for acquiring the user's location information in real time during the trip and providing the optimal travel route and information on available facilities. This makes it possible for travelers using wheelchairs to enjoy their trip with peace of mind and comfort. 【0690】 A "user profile" is a collection of information created based on the individual requirements and special needs of a user, and serves as the foundation for optimizing travel planning. 【0691】 "External information sources" refer to sources of information obtained from outside the system, such as public databases or reliable travel information websites. 【0692】 "Accessibility-related information" refers to information about facilities and means of transportation that users can access, and in particular includes data related to barrier-free access. 【0693】 A "generative AI model" is a type of artificial intelligence technology used to analyze large amounts of data and derive solutions in a specific way. 【0694】 A "travel plan" is a detailed schedule that includes destinations, transportation, accommodations, and other information, based on the user's needs. 【0695】 "Real-time location information" refers to information that indicates the user's location at the current time, and this information enables the most appropriate response to be taken on-site. 【0696】 "Multilingual dialogue support" is a function that enables communication in multiple languages, primarily using translation technology to facilitate smooth conversations with local people. 【0697】 This invention is a system that enables wheelchair users to plan and enjoy their trips with peace of mind. The main components of the system include a user, a terminal, and a server. 【0698】 Users access the system using a terminal and enter travel-related information. Users input their specific needs, destinations, and available modes of transportation, and the terminal receives this information to create an individual "user profile." This profile information is sent to a server and stored in a secure database. 【0699】 The server utilizes a generative AI model to collect accessibility-related information from external sources. Specifically, it obtains information on the locations of barrier-free facilities and available transportation options from public databases and travel information websites. Through AI-driven data analysis, this information is organized in a way that is optimal for the user, generating a customized "travel plan." 【0700】 In creating travel plans, a generative AI model is used to design plans based on prompts such as, "Create an optimal sightseeing plan for a wheelchair user visiting Paris, France." The generated plan is notified to the user's device, and the user can fine-tune the travel itinerary as needed. 【0701】 During travel, the device collects the user's real-time location information and sends it to the server. The server processes this information in real time and provides the user with the most suitable travel routes and up-to-date information on accessible facilities. 【0702】 Furthermore, when users encounter language barriers locally, the system provides multilingual dialogue support via the device. The server uses an AI model to translate languages, helping users communicate smoothly with local people. 【0703】 This system will allow wheelchair users to visit various travel destinations with peace of mind and enjoy comfortable vacations. 【0704】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0705】 Step 1: 【0706】 Users create a user profile by entering their individual requirements using a terminal. The main inputs are special needs, desired destinations, and available modes of transportation. The terminal receives this input data, checks its integrity, and then sends the profile to the server in database format. The output is profile data that reflects the user's characteristics. 【0707】 Step 2: 【0708】 The server collects accessibility information from external sources based on user profiles received from terminals. The main inputs are profile data and information from external databases. The server first accesses the information providers and retrieves the necessary data. The output is a list of accessibility information for the target area. 【0709】 Step 3: 【0710】 The server analyzes the collected accessibility information using a generating AI model. The inputs are the accessibility information and user profile obtained in step 2. The AI ​​model utilizes prompts to generate commands, such as "Create an optimal sightseeing plan for a wheelchair user visiting Paris, France," and performs data analysis. The output is a customized travel plan. 【0711】 Step 4: 【0712】 The server sends the generated travel plan to the terminal. The terminal notifies the user of the plan, allowing the user to review and modify the plan through the interface. The input is the travel plan data from the server, and the output to the user is a travel plan for review. The user adjusts the details as needed, and the terminal accepts any new information. 【0713】 Step 5: 【0714】 During travel, the device periodically collects the user's real-time location information and sends it to the server. The input is GPS information, and after the device verifies the accuracy of the location information, it sends it to the server. Based on this information, the server updates available facilities and route information and sends it back to the device. This output is real-time travel assistance information. 【0715】 Step 6: 【0716】 If a user encounters a language problem, multilingual dialogue support is activated from the device. The input is the content that the user specifies needs to be translated, and the device sends this data to the server. The server uses an AI model to perform translation in real time and returns the result to the device. The output is the translated dialogue. 【0717】 (Application Example 1) 【0718】 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". 【0719】 Traditionally, it has been difficult for wheelchair users to obtain real-time information about accessibility at their travel destinations, ensuring they can travel with peace of mind. Furthermore, information regarding language barriers and travel routes was often lacking. There is a need for methods to alleviate these traveler anxieties and enable them to enjoy travel more comfortably and safely. 【0720】 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. 【0721】 In this invention, the server includes means for generating a profile based on the user's specific needs, means for analyzing information from external information sources to generate a travel plan that includes accessibility data, and means for acquiring the user's location information in real time during the trip and providing appropriate support information. This allows travelers to visually confirm accessibility information and easily operate the system using voice recognition. 【0722】 "Special user needs" refer to requests and requirements identified based on the individual user's physical condition or specific requirements at their travel destination. 【0723】 "Means for generating profiles" refers to systems or processes that register and store individual requests and conditions as data based on user input. 【0724】 "External information sources" refer to sources of accessible data provided from the internet, public institutions, facilities, etc. 【0725】 "Accessibility data" refers to information regarding the accessibility of facilities and transportation systems that are accessible to wheelchair users. 【0726】 "Means for generating travel plans" refers to a function that uses collected data to formulate optimal travel plans tailored to the user's needs. 【0727】 "Means of acquiring user location information in real time and providing appropriate support information" means determining the current location of a user while they are on the move and providing the necessary support information immediately. 【0728】 "Methods for supporting multilingual dialogue using translation functions" refer to systems that translate languages ​​in real time to facilitate communication between users and local people. 【0729】 Augmented reality technology is a technique that overlays digital data onto real-world visual information for display. 【0730】 "Speech recognition technology" is a technology that converts voice input into text and uses that text to operate computers and systems. 【0731】 To implement this invention, the system consists mainly of the following hardware and software. First, the user wears smart glasses. These smart glasses are equipped with a GPS module for acquiring location information, a camera for recognizing the environment, and a microphone for receiving voice input. This hardware is used to acquire the user's dynamic location information and surrounding environment in real time. 【0732】 The server receives profile and location information sent by the user and, based on accessibility information obtained from external sources, provides the user with the most suitable travel routes and facility information. For information processing, it uses ARCore, an open-source AR library, and leverages augmented reality technology to overlay visual information on the smart glasses' display, allowing the user to check accessibility information in their surroundings. 【0733】 The system utilizes the Google Speech-to-Text API for speech recognition technology, instantly converting user voice commands into text to enable appropriate system responses. Furthermore, it employs the Google Translate API for real-time translation to support multilingual dialogue, eliminating language barriers for users. 【0734】 For example, when a user visits a tourist destination, information about the nearest accessible facilities will be displayed on the smart glasses' screen. Furthermore, by specifying a desired destination via voice command, the user will be guided to that location using both audio and visual information. If conversation with locals is necessary, the system can also translate their conversation in real time and display it to the user. 【0735】 An example of a prompt message would be: "Display barrier-free facilities around tourist attractions and provide voice guidance for the shortest route to those locations. Furthermore, translate and display conversations in the local language." This would allow users to enjoy their trip with peace of mind. 【0736】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0737】 Step 1: 【0738】 The user puts on smart glasses and activates the location services. The GPS module in the smart glasses activates and acquires the user's location information in real time. This entered location information is transmitted to the server via the terminal. 【0739】 Step 2: 【0740】 The server receives the user's location information and accesses external information sources to collect data on nearby accessibility facilities and travel routes. This data is filtered based on the user's current location, and only the most relevant information is extracted. This result is then sent from the server to the terminal as accessibility information. 【0741】 Step 3: 【0742】 The device displays the received accessibility information on the smart glasses' screen using an open-source AR library. This process overlays digital accessibility data onto real-world visual information, allowing the user to visually confirm their surroundings. 【0743】 Step 4: 【0744】 The user uses voice input to instruct the device on where they want to go or what information they want to know. The device uses a voice recognition API to convert the voice instructions into text. This result is analyzed by the device and the appropriate action is requested from the server. 【0745】 Step 5: 【0746】 The server generates and transmits customized travel routes and additional information based on voice commands. Using a generation AI model, it provides optimized route recommendations and accompanying information. The output is displayed on smart glasses via the device. 【0747】 Step 6: 【0748】 When linguistic interaction is required on-site, the user attempts to converse with locals using voice. The device records the conversation in real time, translates it using a multilingual translation AP, and displays the result on the smart glasses' display. This process enables the user to communicate smoothly in the local language. 【0749】 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. 【0750】 This invention is a system for providing travel support to wheelchair users, tailored to their specific needs and emotional state. The system is based on a user, a terminal, and a server. 【0751】 First, users create a profile via their device. Here, they enter personal information along with any special needs, preparing the system to provide the best possible service to them. This information is sent from the device to the server and stored in a database. 【0752】 Based on this profile, the server collects accessibility information from external sources. The collected data is analyzed using AI and an emotion engine to generate a customized travel plan based on the user's preferences and current emotional state. This plan includes destinations, accommodations, necessary travel routes, and available accessibility information. 【0753】 During their trip, users can receive real-time support through their device. The device sends the user's location information to the server. The server considers the user's location information and emotional data analyzed by the emotion engine to provide appropriate advice and support. For example, if the emotion engine determines that the user is feeling stressed, the server will recommend a route that allows for a more relaxed and calming experience. 【0754】 The translation function is also available in real time. When communicating with locals while traveling abroad, it is designed to translate in a tone that matches the user's emotions, making communication easy. 【0755】 For example, if a user feels stressed while traveling in Paris, the system will suggest relaxing parks or quiet restaurants. It will also adjust the tone of the translation to match the user's mood, enabling gentle conversations with local staff. In this way, it provides real-time support that is sensitive to the user's emotions, contributing to a safe and comfortable travel experience. 【0756】 Embodiments of the present invention create an environment in which wheelchair users can enjoy travel with peace of mind, according to their emotions and special needs. 【0757】 The following describes the processing flow. 【0758】 Step 1: 【0759】 The user starts up the device, accesses the profile creation screen, and enters personal information and special needs. The device then sends the entered information to the server. 【0760】 Step 2: 【0761】 The server generates a user profile based on the received information and stores it in a database. This profile is used to customize travel support. 【0762】 Step 3: 【0763】 The server collects accessibility and tourist information about destinations from external sources. This information is filtered based on the user's profile. 【0764】 Step 4: 【0765】 The server uses AI, including an emotion engine, to analyze collected information and generate a customized travel plan tailored to the user's specific needs and emotional state. The plan includes planned destinations, accommodations, and recommended travel routes. 【0766】 Step 5: 【0767】 The generated travel plan is sent to the device, and the user reviews the plan. When the user enters any desired changes, the device sends the modifications to the server. 【0768】 Step 6: 【0769】 During travel, the user uses their device to send real-time location information to the server. The device also acquires and transmits the user's emotional state. 【0770】 Step 7: 【0771】 Based on the user's location and sentiment data, the server provides the device with appropriate support information and modified travel routes in real time. For example, if the user needs to relax, a route to a quiet cafe or park might be recommended. 【0772】 Step 8: 【0773】 When a user needs assistance in the local language, the device sends a translation request to the server. The server adjusts the tone of the translation based on an emotion engine and sends the result to the device, facilitating smooth communication with local people. 【0774】 Through this process, users can enjoy a travel experience tailored to their specific needs and emotions. 【0775】 (Example 2) 【0776】 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". 【0777】 There is a need to provide appropriate, real-time support to individual users with special needs, including wheelchair users, to ensure they can enjoy their trip safely and comfortably. In particular, challenges include facilitating smooth communication in multilingual environments, customizing support based on the user's emotional state, and responding quickly to unexpected changes in circumstances during travel. 【0778】 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. 【0779】 In this invention, the server includes means for generating personal information based on the user's specific requirements, means for collecting data from external sources and analyzing it to generate a travel plan that includes data on environmental constraints, and means for acquiring the user's location data in real time during travel and providing appropriate support information. This enables customized travel support for the user that is tailored to their specific needs and emotions. 【0780】 "Users" refer to individuals who use this system to receive support for travel and transportation. 【0781】 "Special requirements" refer to the user's specific needs or limitations, which include, for example, mobility restrictions, visual impairments, and hearing impairments. 【0782】 "Personal information" refers to basic information about a user, including data such as name, contact information, and special needs. 【0783】 "External information sources" refer to information from external data providers and services that this system accesses and obtains information from. 【0784】 "Collecting data" refers to the process by which a system obtains necessary information from external sources and stores it appropriately in its own database. 【0785】 "Environmental constraints" refer to various limiting factors that users may face, such as physical, geographical, and social circumstances. 【0786】 A "travel plan" refers to a plan that includes specific destinations, travel routes, and accommodation information, all formulated based on the individual needs of the user. 【0787】 "Support information" refers to guidance and advice provided to users, including information on optimal routes for travel and recommended destinations. 【0788】 "Emotional state" refers to the user's psychological state and mood, including stress levels and degrees of comfort. 【0789】 "Multilingual dialogue support" refers to translation and interpretation functions that facilitate communication between users who speak different languages, as well as with local people. 【0790】 A "generative AI model" refers to an algorithm or system that uses artificial intelligence to analyze data and provide optimal suggestions and support tailored to the user's characteristics. 【0791】 This invention aims to provide customized travel assistance to travelers with special requirements, based on their needs and emotional state. In particular, it is a system that supports users in having a safe and comfortable experience while traveling. 【0792】 First, the user enters their personal information and special requirements using a terminal, creating a profile. This profile data is then sent from the terminal to the server. The server securely stores this information in a database using a database management system. 【0793】 Next, the server collects the necessary data from external sources. Specifically, it uses APIs from public map information and tourism information services to obtain information on barrier-free tourist spots and accommodations. This information is input into a generative AI model and an emotion engine, which are then analyzed based on the user's profile. 【0794】 The server utilizes a generative AI model to automatically generate travel plans that take into account the user's characteristics and current emotional state. These travel plans include destinations, recommended routes, and accessibility information. 【0795】 During their trip, users receive real-time support from a server via their device. The server analyzes location data transmitted from the device and provides necessary support information and advice based on the user's stress levels and anxiety. For example, if a user is feeling stressed, the server might recommend a relaxing park or a quiet cafe. 【0796】 Furthermore, the device helps users communicate smoothly with people who speak other languages ​​through its translation function. The translation can adjust its tone based on the user's emotional state. 【0797】 As a concrete example, one possible prompt message is: "Please suggest a barrier-free travel plan for a wheelchair user. The user is currently in Paris and is looking for a place to relax." By inputting this prompt message into the server's AI, it becomes possible to generate a suitable travel plan. 【0798】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0799】 Step 1: 【0800】 The user uses the device to create a profile. Here, the user enters personal information and special requirements. The entered data is temporarily stored by the device. The input in this step is personal information provided by the user, and the output is profile data generated by the device. The device also performs input validation to verify that the input data is complete and accurate. 【0801】 Step 2: 【0802】 The terminal sends profile data to the server. The information is sent via a secure communication protocol and stored in a database by the server. The input for this step is the profile data, and the output is the user information stored in the database. The server verifies that the data has been stored correctly. 【0803】 Step 3: 【0804】 The server collects accessibility-related data from external sources. This is done using public map information and specific APIs. The input for this step is the necessary data determined by the user profile, and the output is data about environmental constraints. The server organizes the collected data and prepares it for the next analysis step. 【0805】 Step 4: 【0806】 The server processes the collected data into a generating AI model to create travel plans based on user needs. The input consists of data on environmental constraints and user profiles, while the output is a customized travel plan. Here, the AI ​​performs analysis, taking into account the user's characteristics and current emotional state. 【0807】 Step 5: 【0808】 Once the trip begins, the user transmits location information in real time using their device. The device uses a GPS module to acquire location information and sends it to the server. The input is the user's current location, and the output is the transmission of location information data. 【0809】 Step 6: 【0810】 The server receives location information and integrates it with sentiment data analyzed by the sentiment engine. Based on this data, it provides appropriate support information and advice in real time. The input for this step is location information and sentiment data, and the output is customized advice. 【0811】 Step 7: 【0812】 The device assists user communication through its translation function. It adjusts the translation tone according to the specific emotion being conveyed. The input is the language data the user needs, and the output is the tone-adjusted translation result. 【0813】 Step 8: 【0814】 The server receives user feedback and uses it to improve future plans. The input is user feedback, and the output is a new travel plan or improved support that reflects that feedback. This feedback loop facilitates continuous system optimization. 【0815】 (Application Example 2) 【0816】 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". 【0817】 It is essential to provide a safe and comfortable travel experience for travelers with special needs, including wheelchair users. However, existing systems struggle to respond to users' real-time emotional states and special needs during travel planning and travel, and there is a lack of approaches to provide smooth multilingual communication. In such situations, users may experience stress or inconvenience. 【0818】 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. 【0819】 In this invention, the server includes means for generating a profile based on the user's specific needs, means for collecting and analyzing data from external information sources to generate an accessibility-related travel plan, means for acquiring the user's location information in real time during the trip and providing appropriate advice, means for analyzing emotions and suggesting appropriate travel destinations and routes based on the user's emotional state, and means for supporting multilingual dialogue using a translation function. This makes it possible to provide users with a customized travel experience that is sensitive to their emotions. 【0820】 "Special needs" refer to specific requirements or conditions that distinguish a user from typical travelers, such as needing particular assistance. 【0821】 A "profile" is data that records a user's personal information and special needs. 【0822】 "External information sources" refer to third-party information sources that provide various data related to travel. 【0823】 "Accessibility" refers to the characteristics of facilities and services that can be comfortably used by people with special needs. 【0824】 A "travel plan" is a travel itinerary and plan created for the user. 【0825】 "Real-time" means that data can be used and provided immediately without any time delay. 【0826】 "Location information" refers to data that indicates the specific geographical location where the user is currently located. 【0827】 "Advice information" refers to suggestions and guidance provided to help users resolve potential problems and anxieties they may face. 【0828】 "Emotional analysis" is the process of analyzing and understanding a user's emotional state as data. 【0829】 A "translation function" is a feature that converts languages ​​to support communication between multiple languages. 【0830】 This system provides real-time support for the travel needs of wheelchair users. Users first enter a profile, including their specific needs, via a terminal. This data is sent to a server and forms the basis for customized support throughout the trip. 【0831】 Based on the user's profile, the server collects accessibility information from external sources and analyzes the data using AI. The server then uses this information to create barrier-free travel plans. An emotion analysis engine also considers the user's emotional state based on their input, optimizing travel destinations and routes. 【0832】 During travel, the user's device provides real-time location information to the server, allowing for immediate and appropriate advice. For example, by combining AI technology (Hugging Face's Transformers) with an emotion analysis engine (IBM Watson), a calming environment can be suggested if the user is currently feeling anxious. When users interact with locals abroad, they can receive appropriate multilingual support through a translation function. This translation function utilizes, for example, the DeepL API. 【0833】 For example, if a user visiting Tokyo feels tired in the afternoon, the device will suggest a nearby quiet cafe or park, based on sentiment analysis data. Furthermore, by utilizing the translation function for communication with local staff, users can enjoy their experience without stress. 【0834】 Examples of prompts for a generative AI model are as follows: 【0835】 "Please create an accessible plan for wheelchair users. Current location and emotional data indicate stress levels. Reflect the city's accessibility information and recommend places where they can relax." 【0836】 This format allows for detailed support tailored to the diverse needs of users, providing a safe and comfortable travel experience. 【0837】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0838】 Step 1: 【0839】 The user enters their profile information using a device. This profile includes special needs and personal information. The entered data is sent from the device to a server, which stores it in a database and uses it as basic data for travel planning. 【0840】 Step 2: 【0841】 The server collects accessibility information from external sources based on the user's profile. The input data is profile information, and the output data is accessibility data from external sources. The server analyzes this data using a generative AI model and prepares to create an accessibility travel plan. 【0842】 Step 3: 【0843】 The server uses an AI model and sentiment analysis engine to analyze the collected data. The input data consists of accessibility information and user sentiment information, and the output is a personalized suggestions for travel destinations and routes. Specifically, IBM Watson analyzes the sentiment, and Hugging Face's Transformers are used as the generating AI model. 【0844】 Step 4: 【0845】 During travel, the device transmits location information to the server in real time. The server's input is location data from the device, and its output is immediate advice based on the location sent to the device. For example, the server provides information on barrier-free facilities near the user's current location. 【0846】 Step 5: 【0847】 The server supports user communication through its translation function. Input consists of the user's language and the content requiring translation, while output is the translated language data. Specifically, it uses the DeepL API to provide accurate translations and displays the results on the device. 【0848】 Step 6: 【0849】 Users receive customized travel destination information from the server via their device and act according to their travel plan. The output is reflected in the user's action plan, leading to increased user satisfaction. Specific actions include following navigation guides provided by the device. 【0850】 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. 【0851】 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. 【0852】 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. 【0853】 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. 【0854】 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. 【0855】 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. 【0856】 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. 【0857】 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. 【0858】 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." 【0859】 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. 【0860】 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. 【0861】 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. 【0862】 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. 【0863】 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. 【0864】 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. 【0865】 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. 【0866】 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. 【0867】 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. 【0868】 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. 【0869】 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. 【0870】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0871】 The following is further disclosed regarding the embodiments described above. 【0872】 (Claim 1) 【0873】 A means of generating a profile based on the user's specific needs, 【0874】 A means of collecting information from external information sources, analyzing it, and generating travel plans that include accessibility data, 【0875】 A means of obtaining the user's location information in real time during travel and providing appropriate support information, 【0876】 A means of providing multilingual dialogue support using translation functions, 【0877】 A system that includes this. 【0878】 (Claim 2) 【0879】 The system according to claim 1, comprising means for adjusting the generation of a travel plan based on user input. 【0880】 (Claim 3) 【0881】 The system according to claim 1, comprising means for analyzing data collected using AI and providing users with customized travel and movement recommendations. 【0882】 "Example 1" 【0883】 (Claim 1) 【0884】 A means of creating user profiles based on the individual requirements of users, 【0885】 A means of collecting accessibility-related information from external sources, analyzing it using a generative AI model, and creating a travel plan. 【0886】 A means of acquiring the user's location information in real time during travel and providing optimal travel routes and information on available facilities, 【0887】 A means equipped with a translation function for the purpose of supporting multilingual dialogue, 【0888】 A system that includes this. 【0889】 (Claim 2) 【0890】 The system according to claim 1, comprising an interface that allows the travel plan to be adjusted based on user instructions. 【0891】 (Claim 3) 【0892】 The system according to claim 1, comprising means for analyzing data collected using AI technology and providing users with appropriate and personalized travel and transportation suggestions. 【0893】 "Application Example 1" 【0894】 (Claim 1) 【0895】 A means of generating a profile based on the user's specific needs, 【0896】 A means of collecting information from external information sources, analyzing it, and generating travel plans that include accessibility data, 【0897】 A means of obtaining the user's location information in real time during travel and providing appropriate support information, 【0898】 A means of providing multilingual dialogue support using translation functions, 【0899】 A means of providing users with barrier-free information visually using augmented reality technology, 【0900】 A means of operating a system based on a user's voice instructions using speech recognition technology, 【0901】 A system that includes this. 【0902】 (Claim 2) 【0903】 The system according to claim 1, comprising means for adjusting the generation of a travel plan based on user input. 【0904】 (Claim 3) 【0905】 The system according to claim 1, comprising means for analyzing data collected using AI and providing customized travel and movement recommendations to users, and means for providing information using augmented reality. 【0906】 "Example 2 of combining an emotion engine" 【0907】 (Claim 1) 【0908】 Means for generating personal information based on the user's specific requirements, 【0909】 A means for collecting data from external sources, analyzing it, and generating a travel plan that includes data on environmental constraints, 【0910】 A means of acquiring the user's location data in real time while they are on the move and providing appropriate support information, 【0911】 A means of providing multilingual dialogue support using a conversion function, 【0912】 A means of analyzing the emotional state of the user and adjusting the support content according to that state, 【0913】 A means of automatically customizing the suggested content using an AI model that utilizes information stored in a database, 【0914】 A system that includes this. 【0915】 (Claim 2) 【0916】 The system according to claim 1, comprising means for adjusting the generation of a travel plan based on user input. 【0917】 (Claim 3) 【0918】 The system according to claim 1, comprising means for analyzing data collected using AI and providing customized travel and guidance recommendations to users. 【0919】 "Application example 2 when combining with an emotional engine" 【0920】 (Claim 1) 【0921】 A means of generating a profile based on the user's specific needs, 【0922】 A means of collecting data from external information sources, analyzing it, and generating travel plans related to accessibility, 【0923】 A means of obtaining the user's location information in real time during travel and providing appropriate advice, 【0924】 A means of supporting multilingual dialogue using translation functions, 【0925】 A means of analyzing emotions and suggesting appropriate travel destinations and routes based on the user's emotional state, 【0926】 A system that includes this. 【0927】 (Claim 2) 【0928】 The system according to claim 1, comprising means for adjusting the generation of a travel plan based on user input. 【0929】 (Claim 3) 【0930】 The system according to claim 1, comprising means for analyzing information collected using AI and providing users with customized travel and movement recommendations. [Explanation of symbols] 【0931】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A means of generating a profile based on the user's specific needs, A means of collecting information from external information sources, analyzing it, and generating travel plans that include accessibility data, A means of obtaining the user's location information in real time during travel and providing appropriate support information, A means of providing multilingual dialogue support using translation functions, A system that includes this. [Claim 2] The system according to claim 1, comprising means for adjusting the generation of a travel plan based on user input. [Claim 3] The system according to claim 1, comprising means for analyzing data collected using AI and providing users with customized travel and movement recommendations.