system

Abstract

We provide the system. [Solution] A means of analyzing user questions using natural language processing technology, A means of generating a virtual tour conductor using generative artificial intelligence, A means of obtaining tourist destination information in multiple languages ​​and generating responses, A means of providing a real-time interface to the user terminal and enabling interaction with the user, A system that includes this.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] When foreign tourists visiting Japan come into contact with Japanese culture and history, language barriers and lack of information become obstacles, resulting in the problem of losing the opportunity to deeply understand Japanese culture. In addition, due to overtourism, tourists concentrate on specific tourist destinations, and the problem that the equal tourism demand in the region is not achieved is also an issue.

Means for Solving the Problems

[0005] This invention provides a system that uses natural language processing technology and generative artificial intelligence to generate a virtual tour conductor in multiple languages ​​selected by the user. This conductor provides real-time tourist destination information tailored to the user's preferences and promotes a deeper understanding of Japanese culture through interaction with the user. Furthermore, by providing a personalized experience based on a character specified by the user, it stimulates interest in a wide range of tourist destinations and contributes to the diversification of tourism.

[0006] "Natural language processing technology" is a technology that enables computers to understand, analyze, and generate responses to human language.

[0007] "Generative AI" is artificial intelligence that uses machine learning models to generate new data and information.

[0008] A "virtual tour conductor" is a character virtually generated by a generative AI, responsible for providing tourist information and interacting with users.

[0009] "Multilingual" means are mechanisms for translating and providing information in multiple languages.

[0010] "Tourist information" refers to information about tourist destinations, such as their history, culture, and points of interest.

[0011] A "user terminal" refers to an electronic device used by a user to display information or perform data communication.

[0012] An "interface" is a system component that includes a display screen and input means, enabling interaction and operation with the user.

[0013] "Character personalization" refers to individually adjusting the appearance and voice of a specific character based on the user's preferences and settings. [Brief explanation of the drawing]

[0014] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0015] <Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a tagged processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, a tagged RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a tagged storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] 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).

[0021] 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."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0032] 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.

[0033] 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.

[0034] 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".

[0035] This invention provides a system that allows foreign visitors to Japan to virtually tour Japanese tourist destinations and gain a deeper understanding of Japanese culture and history, overcoming language barriers. This system utilizes natural language processing technology and generative AI to generate a character of the user's choice to act as a tour conductor and provides tourist destination information in multiple languages.

[0036] server:

[0037] The server functions as the central hub for managing data across the entire system. It receives user input and securely stores it in the database. It uses AI to create character models based on user requests and analyzes user questions using natural language processing technology. It also interacts with external APIs to retrieve tourist destination information and generates real-time responses to users.

[0038] Terminal:

[0039] The terminal serves as the interface between the user and the system. The user terminal displays an interface for chatting with a virtual tour conductor. This interface supports text and voice input and enables multilingual interaction based on the user's language settings.

[0040] User:

[0041] Users can access the system via mobile devices or PCs and enjoy the experience of obtaining information about tourist destinations together with their favorite characters. Using the device's interface, users can input questions about tourist destinations and receive answers from a virtual tour conductor. Furthermore, based on the information entered by the user, the system accurately provides tourist destination information tailored to the user's interests.

[0042] Specific example:

[0043] For example, if a user asks, "Tell me about Senso-ji Temple in Asakusa, Tokyo," the server analyzes the question, researches the history and cultural significance of Senso-ji Temple, and provides that information in the user's chosen language through a selected character. In this way, foreign visitors to Japan can overcome language barriers to understand Japanese culture and enjoy the charm of tourist destinations.

[0044] This invention is expected to enrich the tourism experience of foreign visitors to Japan while aiming to equalize tourism demand in local areas.

[0045] The following describes the processing flow.

[0046] Step 1:

[0047] Users access a dedicated application or web platform using a mobile device or PC and log in. They then enter information such as their favorite character, preferred translation language, and desired tourist destinations.

[0048] Step 2:

[0049] The terminal sends the information entered by the user to the server. This information includes the selected character, language setting, and choice of tourist destination.

[0050] Step 3:

[0051] The server receives user input information and stores it in a secure database. It also utilizes a generative AI to generate a specified character and prepares it to act as a virtual tour conductor.

[0052] Step 4:

[0053] The server retrieves information about tourist destinations from a database or external API and organizes the information for multilingual support as needed. This information includes the history, culture, and attractions of the tourist destinations.

[0054] Step 5:

[0055] The user's device displays an interface for chatting with a generated virtual tour conductor. The user can ask the character questions via text or voice input.

[0056] Step 6:

[0057] The user enters a question about a tourist destination, and the device sends that question to the server.

[0058] Step 7:

[0059] The server receives the submitted question and analyzes its content using natural language processing techniques. It then generates an appropriate response to the question and translates it into the user's chosen language.

[0060] Step 8:

[0061] The server sends the generated response back to the user's terminal. The user receives the response from the virtual tour conductor on the terminal's interface and can enjoy real-time tourist information.

[0062] (Example 1)

[0063] 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."

[0064] When foreign visitors use these services, there is a challenge in overcoming language barriers to gain a deeper understanding of the culture and history of Japanese tourist destinations and to realize a more personalized travel experience. Furthermore, there is a need to provide information in real time that can accommodate the different languages ​​and character preferences of users.

[0065] 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.

[0066] In this invention, the server includes a device that analyzes user questions using natural language processing technology, a device that generates a digital guide using generative AI, and a device that acquires location information in multiple languages ​​and generates responses. This makes it possible to provide personalized tourist information according to the language and character settings selected by the user.

[0067] "Natural language processing technology" refers to the technology that enables computers to recognize, understand, and generate human language.

[0068] "Generative AI" is a technology that uses artificial intelligence to automatically generate content and characters based on user requests.

[0069] A "digital guide" is a virtual character generated on a computer to act as a guide for the user, and it has the function of providing information in multiple languages.

[0070] "Multilingualism" refers to providing information in multiple different languages, and means enabling the provision of information in each of those languages.

[0071] "Providing an operation screen instantly" means generating a visual interface in real time based on user requests and enabling the necessary operations.

[0072] "Applying personalization" means modifying visual and auditory features according to the user's preferences to provide a service tailored to that user.

[0073] "Obtaining relevant information from external sources" means using databases or APIs outside the system to collect the necessary information.

[0074] "Tourism information" refers to information related to the history, culture, geography, etc., of a specific tourist destination.

[0075] The embodiments for carrying out this invention are shown below.

[0076] server:

[0077] The server, as the central component of the system, is equipped with software libraries that leverage natural language processing technology. This allows for effective analysis of user input. Based on this analysis, a generative AI platform is used to generate a digital guide. This AI generates personalized content according to the user's choices and preferences and supports information retrieval in multiple languages. The server also collects relevant information about tourist locations through integration with external APIs and generates responses in real time. Specific technologies used include open-source frameworks for natural language processing and generative AI models (e.g., the GPT model).

[0078] Terminal:

[0079] The terminal serves as the interface connecting the user and the system. It provides a multimedia-enabled interface where users can input text and voice, and enjoy interacting with generated digital guides. The terminal offers universal multilingual support and instantly displays the operation screen based on user selection. It also provides personalized visual and audio output in response to user requests.

[0080] User:

[0081] Users initiate interaction with the system using a mobile device or computer. They input questions about tourist destinations or themes of interest and receive immediate results, helping them to gain a deeper understanding of culture and history. An example of a prompt might be, "Please tell me about the history of Senso-ji Temple, taking into account the selected character and the user's language setting."

[0082] This invention aims to provide personalized travel experiences to visitors worldwide, transcending language barriers. By utilizing generative AI, it becomes possible to deliver more natural and engaging information to users.

[0083] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0084] Step 1:

[0085] Users access the system using a mobile device or computer and enter questions about tourist destinations. Input can be in text or voice format. For example, a user might enter, "Tell me about Senso-ji Temple in Asakusa, Tokyo." The input data is formatted on the device and prepared for transmission to the server.

[0086] Step 2:

[0087] The terminal sends the input data received from the user to the server. Here, it performs the function of converting the text data into an appropriate format and transferring it over the network. This process provides the input data to the server.

[0088] Step 3:

[0089] The server analyzes the received user input data using natural language processing techniques. During this process, it recognizes keywords and intent within the input data and performs necessary data processing. Based on the analysis results, it generates prompts for the AI ​​model. These prompts may take the form of, "Please explain the history of Senso-ji Temple. Please consider the selected character and the user's language setting."

[0090] Step 4:

[0091] The server uses a generative AI model to generate digital guides and create responses based on user requests. Specifically, it constructs character dialogue based on prompts and generates multilingual information. The generated data is organized within the server and translated according to the user's language settings.

[0092] Step 5:

[0093] The server retrieves relevant tourist destination information from external sources. This includes communicating with external APIs to collect the latest tourist destination information. The retrieved information is documented based on user requests, and personalization is applied by a generative AI.

[0094] Step 6:

[0095] The server then sends the prepared data back to the terminal. Here, the data is ready to be responded to by the user, converted into a format that the terminal can receive, and sent.

[0096] Step 7:

[0097] The user receives a generated response on their device. Here, character-based guidance is provided in text format or as audio output. The user can review this, ask further questions, or use the information to plan their trip.

[0098] (Application Example 1)

[0099] 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."

[0100] Foreign tourists visiting Japan face language barriers when exploring tourist destinations, and they often struggle to understand deeper cultural and historical contexts beyond the limited information they receive during their trips. Furthermore, there is a growing need for methods that allow for virtual tourism experiences without requiring actual visits.

[0101] 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.

[0102] In this invention, the server includes means for analyzing user inquiries using natural language processing technology, means for designing a virtual guide using generative artificial intelligence, means for acquiring location information in multiple languages ​​and creating responses, and means for visually presenting the virtual guide through a visual assistance device. This allows users to overcome language barriers and virtually enjoy in-depth information about Japanese tourist destinations.

[0103] "Natural language processing technology" refers to the technology that enables computers to understand, analyze, and generate human language.

[0104] "Generative artificial intelligence" is a type of artificial intelligence that can generate new information or content from given data.

[0105] A "virtual guide" refers to a character that provides tourist information and other information in a virtual space.

[0106] "A means of acquiring location information in multiple languages ​​and creating answers" refers to a system that collects geographical information in different languages ​​and constructs answers based on that information.

[0107] "User terminal" refers to mobile devices or computers that users use to access services and information.

[0108] A "visual assistance device" is a device that allows users to visually view virtual information and characters superimposed on the real world.

[0109] The system that realizes this invention consists of a server and a user terminal working in conjunction. The server analyzes user inquiries using natural language processing technology and designs a virtual guide using generative artificial intelligence. Furthermore, it has the function to acquire location information in multiple languages ​​and generate answers. For this purpose, open-source natural language processing toolkits such as spaCy and OpenAI's GPT model as generative AI are utilized. These processes are performed in a cloud server environment, enabling rapid responses to user inquiries.

[0110] The user's terminal allows for real-time interaction with a virtual guide. By using smartphones or visual aids such as smart glasses, users can visually experience virtual information superimposed on the real world. Voice synthesis provides voice guidance in the selected language setting, offering users an immersive sightseeing experience. Visual aids using AR technology are recommended, as they can naturally display the virtual guide within the user's field of view.

[0111] For example, if a user asks, "Tell me about Kinkaku-ji Temple in Kyoto," the system will use that information to retrieve historical and cultural information about Kinkaku-ji Temple and provide it to the user in multiple languages. The following are examples of prompts used for the generative AI model in this process:

[0112] "The tourist destination the user wants to know about: Kinkaku-ji Temple in Kyoto. Please explain it to the user, including its history and cultural significance. The tour guide character should be intelligent and calm. Please use English for the audio."

[0113] This system enables flexible responses that meet user expectations, enriching the tourist experience for foreign visitors to Japan.

[0114] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0115] Step 1:

[0116] The server receives inquiries from the user's terminal. This input information is natural language text, and the server uses natural language processing technology (e.g., spaCy) to analyze the input text and extract relevant keywords. This allows the server to understand the user's intent and requests.

[0117] Step 2:

[0118] The server uses a generative AI model (e.g., OpenAI's GPT model) to create prompt messages for generating a virtual guide that meets the user's requests. Based on the analysis results received as input, it generates a character that matches the user's specified characteristics and language. These prompt messages are sent to the generative AI model, which outputs information about the character's personality and speaking style.

[0119] Step 3:

[0120] The server uses an external API to retrieve multilingual tourist destination information from a location database. This information consists of cultural and historical data related to the tourist destination the user is interested in. Based on the entered place name or location information, the API is called, relevant information is collected, and output in multiple languages.

[0121] Step 4:

[0122] The server translates the acquired tourist information into the user's selected language and generates a response. Using speech synthesis technology, the translated text is converted into audio data, preparing it for voice responses to the user. Google® Cloud Text-to-Speech API and similar services are used for speech synthesis.

[0123] Step 5:

[0124] The user's terminal displays a virtual guide using a visual aid based on information received from the server. Here, AR technology is used to overlay the virtual guide onto the real world. The terminal plays generated audio guidance, enabling real-time interaction with the character.

[0125] 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.

[0126] This invention is a system that combines an emotion engine to provide foreign visitors to Japan with a deeper emotional experience when they understand Japanese culture and history. This system utilizes natural language processing technology and generative AI, and further uses an emotion engine to recognize the user's emotions, making the interaction with the virtual tour conductor more effective.

[0127] server:

[0128] The server receives information from the user and securely stores it in a database. It uses a generative AI to generate characters and runs an emotion engine that recognizes emotions from the text and voice input by the user. The emotion engine adjusts the responses and the character's tone based on the user's emotions.

[0129] Terminal:

[0130] On the device, an interface is displayed for the user and the virtual tour conductor to chat. The device sends the text and voice input from the user to the server, and the server displays responses and character expressions in real time according to the emotional state received from the server.

[0131] User:

[0132] Users access the system via mobile devices or PCs to receive real-time tourist information from virtual tour guides. Users can ask questions and share their thoughts using text or voice input, and the system generates appropriate responses based on the user's emotions.

[0133] Specific example:

[0134] For example, if a user asks about Fushimi Inari Taisha in Kyoto, "I wonder why there are so many torii gates," and then adds, "I love learning about history," the server will recognize positive emotions from this text. The emotion engine will prioritize providing detailed historical background information that will pique the user's interest, and the virtual tour conductor will explain in a more engaging tone. By enabling this kind of multifaceted communication, users can have a more emotionally resonant and memorable experience.

[0135] This invention enables foreign visitors to Japan to have emotionally connected experiences with Japanese tourist destinations and deepen their cultural understanding. Furthermore, it aims to equalize regional tourism demand and qualitatively improve the tourism experience.

[0136] The following describes the processing flow.

[0137] Step 1:

[0138] Users access a dedicated application or web platform using a mobile device or PC and log in. Here, they enter information about their favorite characters, desired translation languages, and tourist destinations they wish to visit.

[0139] Step 2:

[0140] The terminal sends the information entered by the user to the server. This information includes the selected character, language, and tourist destination.

[0141] Step 3:

[0142] The server receives user input information and securely stores it in a database. Using a generative AI, it generates a character selected by the user and prepares it to act as a virtual tour conductor.

[0143] Step 4:

[0144] The server retrieves information about tourist destinations from a database or external API, and organizes and translates that information if multilingual support is required.

[0145] Step 5:

[0146] The user's device displays an interface for chatting with a generated virtual tour conductor. The user can ask questions and make comments to the character via text or voice input.

[0147] Step 6:

[0148] User input is sent from the device to the server as text or audio. The server uses natural language processing technology to analyze questions and comments.

[0149] Step 7:

[0150] The server uses an emotion engine to recognize the user's emotional state from their input. It determines whether the user is expressing positive, negative, or neutral emotions.

[0151] Step 8:

[0152] Based on the user's emotional state, the server generates an appropriate response. For example, if the user is agitated, the server adjusts its response to provide more detailed and emotional information.

[0153] Step 9:

[0154] The server sends the generated response to the user's terminal, adjusts the virtual tour conductor's tone and facial expressions according to the user's emotional state, and displays them on the interface.

[0155] Step 10:

[0156] Users can receive real-time tourist information through their device's interface, enabling them to have an emotionally enriching travel experience.

[0157] (Example 2)

[0158] 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".

[0159] The current tourism information system has problems that make it difficult for users to obtain information based on their individual feelings and interests, resulting in lower satisfaction with the tourism experience. In addition, the lack of multilingual support limits the transmission of information and makes it difficult to meet the diverse needs of users. Furthermore, the lack of customization for characters that create a sense of familiarity with users makes it difficult to provide personalized tourism experiences.

[0160] 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.

[0161] In this invention, the server includes means for analyzing user questions using natural language processing technology, means for generating characters using generative artificial intelligence, and means for performing emotion analysis and adjusting responses and character tone based on the user's emotions. This makes it possible to provide personalized tourist information that is sensitive to the user's emotions. Furthermore, by providing information in multiple languages ​​and customizing characters according to user specifications, users can have a more familiar and fulfilling tourist experience.

[0162] "Natural language processing technology" is a technology that enables computers to analyze and understand human language, and is used to appropriately process user input.

[0163] "Generative artificial intelligence" is a type of artificial intelligence that has the ability to automatically generate digital characters and information according to the situation and needs.

[0164] A "character" refers to a digital personality or form of expression that serves the role of interacting with users and providing information.

[0165] "Emotion analysis" is a technology that infers a user's emotional state from their text or voice input and uses that information to generate responses and adjust interactions.

[0166] "Multilingual" refers to the ability to support different language groups and provide information in a language that suits the user's purpose.

[0167] An "interface" is a collection of screens and operating environments that allow users and systems to exchange information, and it plays a role in enabling communication with the server.

[0168] "Customization" refers to the process of individualizing a character's appearance, voice, and other characteristics according to the user's choices.

[0169] To implement this invention, the server, terminal, and user primarily fulfill their respective roles.

[0170] server:

[0171] The server is a high-performance computing machine located in the cloud, possessing the computing power necessary to run the generative AI model. First, the server receives text and voice data sent from the user through their terminal. This data is analyzed using natural language processing techniques to recognize the user's intentions and questions. Next, sentiment analysis is performed to evaluate the user's emotional state, and this information is fed back to the generative AI model. Based on this information, the generative AI model generates responses from the virtual tour conductor. In this process, the tone and facial expressions of the generated character are also adjusted according to the emotion.

[0172] Terminal:

[0173] The terminal functions as a user interface, providing a platform for users to interact with a virtual tour conductor. It sends user text or voice input to the server and receives responses and character information from the server. This information is then displayed or played aloud in an easily understandable format for the user. The terminal also includes a translation function, depending on the user's selected language.

[0174] User:

[0175] Users access the system using their mobile devices or computers. They input travel-related questions and comments via text or voice and receive results in real time. Through this interaction, users can access emotionally sensitive and personalized travel information, leading to a richer experience.

[0176] Specific example:

[0177] The user enters the prompt "Please tell me about famous temples in Kyoto. I'm very interested in history" into the device. The server receives this information and recognizes the user's high level of interest through sentiment analysis. As a result, the generative AI model prioritizes generating particularly detailed and interesting information and responds to the user through the device. This allows the user to obtain detailed and personalized information regarding their question.

[0178] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0179] Step 1:

[0180] The user initiates a connection with a virtual tour conductor using a mobile device or computer. The user inputs questions and comments about the tour via text or voice. This input data is sent to the device as prompt messages.

[0181] Step 2:

[0182] The terminal receives input data (text or voice) from the user and sends it to the server. The input data is converted into a digital format in its original form and prepared for processing by the server.

[0183] Step 3:

[0184] The server receives data sent from the terminal. First, it analyzes the text data using natural language processing to understand the user's intent and questions. The input here is the user's text or voice data, and the output is the user's intent and questions as a result of the analysis.

[0185] Step 4:

[0186] The server then performs sentiment analysis. Text analysis techniques are applied to extract emotional elements from the user's input. In this process, the user's text and voice data are used as input, and the user's emotional state is obtained as output. The analysis results are temporarily stored in a database.

[0187] Step 5:

[0188] The server uses a generative AI model to generate responses from the virtual tour conductor. Here, the generative AI model is operated using the prompt text and the resulting emotional state as input data, adjusting the response and character tone to match the user's emotions.

[0189] Step 6:

[0190] The generated response data is sent from the server to the terminal. This data includes the generated text response, voice, and character facial expression information. The terminal then converts it into a format suitable for display and audio playback.

[0191] Step 7:

[0192] The terminal displays response data received from the server to the user. The user interacts with the virtual tour conductor through real-time displayed text, audio, and character expressions. This final output allows the user to enjoy emotionally resonant tourism information.

[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] Existing tourist information systems make it difficult for foreign tourists to emotionally connect with the culture and history of their destinations, resulting in insufficient cultural understanding. Furthermore, the style of introducing tourist spots and related products is uniform, lacking sufficient personalization to meet the individual interests and emotions of users. Therefore, a system is needed that recognizes users' emotions in real time and flexibly adjusts information and product recommendations based on those emotions.

[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 analyzing information using natural language processing technology, means for generating a virtual tour guide using generative artificial intelligence, and means for recognizing the user's emotions using an emotion analysis engine and adjusting the response and the guide's tone based on those emotions. This allows the user to receive flexible guidance and introductions that are tailored to their own emotions.

[0198] "Natural language processing technology" is a technology that analyzes text and voice input from users to understand their meaning and intent.

[0199] "Generative artificial intelligence" is a technology that generates virtual characters and responses based on given information.

[0200] A "virtual tour guide" is a virtual character that provides users with information about tourist destinations and cultural sites.

[0201] A "sentiment analysis engine" is an engine that identifies emotions from a user's text or voice and adjusts the optimal content delivery method based on the results.

[0202] "Personalization" refers to customizing the appearance and voice of content and characters according to the user's preferences and choices.

[0203] "Flexible guidance" refers to guidance that has the ability to adapt by changing the content and tone of the guidance based on the user's emotions and interests.

[0204] The system of the present invention operates primarily with a server, terminals, and users.

[0205] The server uses natural language processing technology to analyze text or voice data sent by the user to understand the user's questions and requests. The analyzed data is processed by an emotion analysis engine to identify the user's emotional state. The emotion_ai_sdk is used as the emotion analysis engine. Based on the emotional state, a virtual tour guide is generated using generative artificial intelligence, and this guide is created in real time using AI generation technology. The generated guide provides information to the user with appropriate tone and facial expressions.

[0206] The terminal displays a user interface through which the user can interact with the system. The user inputs information into the system using text or voice, and receives guidance on specific tourist destinations or cultural information. The terminal also receives responses from the server, which are then presented to the user visually or audibly.

[0207] Users access the system using a mobile device or PC. By selecting a tourist destination and querying information of interest, the system generates emotion-based, personalized guidance.

[0208] For example, if a user types "I want to learn more about the traditional cuisine of this region" on their smartphone, the system recognizes this sentiment as interesting. The system generates detailed information, including background and history, and a virtual tour guide presents it to the user in an engaging way. An example of a prompt would be, "Please provide a conversational style to positively explain the origins and cultural significance of local cuisine to a user interested in it."

[0209] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0210] Step 1:

[0211] Users access the terminal via smartphone or PC and input the information they want as text or voice input. The input data is converted into a digital format on the terminal and sent to the server.

[0212] Step 2:

[0213] The server analyzes the received text or audio data using natural language processing techniques. It structures the input information through syntax analysis to understand the user's questions and interests. The analysis results are output as data to identify the content and intent of the questions.

[0214] Step 3:

[0215] The server evaluates the data using an emotion analysis engine based on the analysis results. It uses emotion_ai_sdk to determine the user's emotional state and selects the optimal response strategy accordingly. The analysis results and emotional information are integrated and output as data for further processing.

[0216] Step 4:

[0217] The server generates a virtual tour guide using generative AI. The generative AI model creates a guide in a specific tone and style based on the user's questions and emotional state. Specific generation prompts are given to instruct the system to generate a guide based on the user's requests. The generated guide is output as data.

[0218] Step 5:

[0219] The guidance data generated from the server is returned to the terminal. The terminal displays or plays the data as audio in a format that the user can understand. This allows the user to receive information in an emotionally relatable way.

[0220] Step 6:

[0221] The user reviews the provided instructions and enters any additional questions or feedback into the device as needed. Subsequent interactions are conducted by repeating the process from steps 1 to 5.

[0222] 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.

[0223] 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.

[0224] 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.

[0225] [Second Embodiment]

[0226] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0227] 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.

[0228] 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).

[0229] 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.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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.

[0235] 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.

[0236] 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.

[0237] 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".

[0238] This invention provides a system that allows foreign visitors to Japan to virtually tour Japanese tourist destinations and gain a deeper understanding of Japanese culture and history, overcoming language barriers. This system utilizes natural language processing technology and generative AI to generate a character of the user's choice to act as a tour conductor and provides tourist destination information in multiple languages.

[0239] server:

[0240] The server functions as the central hub for managing data across the entire system. It receives user input and securely stores it in the database. It uses AI to create character models based on user requests and analyzes user questions using natural language processing technology. It also interacts with external APIs to retrieve tourist destination information and generates real-time responses to users.

[0241] Terminal:

[0242] The terminal serves as the interface between the user and the system. The user terminal displays an interface for chatting with a virtual tour conductor. This interface supports text and voice input and enables multilingual interaction based on the user's language settings.

[0243] User:

[0244] Users can access the system via mobile devices or PCs and enjoy the experience of obtaining information about tourist destinations together with their favorite characters. Using the device's interface, users can input questions about tourist destinations and receive answers from a virtual tour conductor. Furthermore, based on the information entered by the user, the system accurately provides tourist destination information tailored to the user's interests.

[0245] Specific example:

[0246] For example, if a user asks, "Tell me about Senso-ji Temple in Asakusa, Tokyo," the server analyzes the question, researches the history and cultural significance of Senso-ji Temple, and provides that information in the user's chosen language through a selected character. In this way, foreign visitors to Japan can overcome language barriers to understand Japanese culture and enjoy the charm of tourist destinations.

[0247] This invention is expected to enrich the tourism experience of foreign visitors to Japan while aiming to equalize tourism demand in local areas.

[0248] The following describes the processing flow.

[0249] Step 1:

[0250] Users access a dedicated application or web platform using a mobile device or PC and log in. They then enter information such as their favorite character, preferred translation language, and desired tourist destinations.

[0251] Step 2:

[0252] The terminal sends the information entered by the user to the server. This information includes the selected character, language setting, and choice of tourist destination.

[0253] Step 3:

[0254] The server receives user input information and stores it in a secure database. It also utilizes a generative AI to generate a specified character and prepares it to act as a virtual tour conductor.

[0255] Step 4:

[0256] The server retrieves information about tourist destinations from a database or external API and organizes the information for multilingual support as needed. This information includes the history, culture, and attractions of the tourist destinations.

[0257] Step 5:

[0258] The user's device displays an interface for chatting with a generated virtual tour conductor. The user can ask the character questions via text or voice input.

[0259] Step 6:

[0260] The user enters a question about a tourist destination, and the device sends that question to the server.

[0261] Step 7:

[0262] The server receives the submitted question and analyzes its content using natural language processing techniques. It then generates an appropriate response to the question and translates it into the user's chosen language.

[0263] Step 8:

[0264] The server sends the generated response back to the user's terminal. The user receives the response from the virtual tour conductor on the terminal's interface and can enjoy real-time tourist information.

[0265] (Example 1)

[0266] 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."

[0267] When foreign visitors use these services, there is a challenge in overcoming language barriers to gain a deeper understanding of the culture and history of Japanese tourist destinations and to realize a more personalized travel experience. Furthermore, there is a need to provide information in real time that can accommodate the different languages ​​and character preferences of users.

[0268] 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.

[0269] In this invention, the server includes a device that analyzes user questions using natural language processing technology, a device that generates a digital guide using generative AI, and a device that acquires location information in multiple languages ​​and generates responses. This makes it possible to provide personalized tourist information according to the language and character settings selected by the user.

[0270] "Natural language processing technology" refers to the technology that enables computers to recognize, understand, and generate human language.

[0271] "Generative AI" is a technology that uses artificial intelligence to automatically generate content and characters based on user requests.

[0272] A "digital guide" is a virtual character generated on a computer to act as a guide for the user, and it has the function of providing information in multiple languages.

[0273] "Multilingualism" refers to providing information in multiple different languages, and means enabling the provision of information in each of those languages.

[0274] "Providing an operation screen instantly" means generating a visual interface in real time based on user requests and enabling the necessary operations.

[0275] "Applying personalization" means modifying visual and auditory features according to the user's preferences to provide a service tailored to that user.

[0276] "Obtaining relevant information from external sources" means using databases or APIs outside the system to collect the necessary information.

[0277] "Tourism information" refers to information related to the history, culture, geography, etc., of a specific tourist destination.

[0278] The embodiments for carrying out this invention are shown below.

[0279] server:

[0280] As the central component of the system, the server is equipped with a software library for leveraging natural language processing technology. This enables effective analysis of input information from users. Based on this analysis, a digital guide is generated using a generative AI platform. This AI generates personalized content according to the user's choices and preferences and supports information acquisition in multiple languages. The server also collects relevant information about tourist attractions through cooperation with external APIs and generates responses in real time. Specific technologies used include open-source frameworks for natural language processing and generative AI models (e.g., GPT models).

[0281] Terminal:

[0282] The terminal serves as an interface connecting the user and the system. Here, a multimedia-compatible interface is provided, allowing users to input text or voice and enjoy interaction with the generated digital guide. The terminal provides universal multilingual support and displays an operation screen immediately based on the user's selection. It also realizes individualized visual and audio outputs according to the user's requests.

[0283] User:

[0284] The user starts interacting with the system using a mobile device or a personal computer. By inputting questions about tourist destinations or themes of interest and receiving immediate results, the user can gain assistance in understanding culture and history more deeply. Examples of input prompt sentences include "Please tell me about the history of Sensoji Temple. Please consider the selected character and the user's set language."

[0285] This invention aims to provide a personalized tourism experience to visitors worldwide across language barriers. By leveraging generative AI, it becomes possible to provide users with more natural and attractive information.

[0286] The flow of the specific process in Example 1 will be described using FIG. 11.

[0287] Step 1:

[0288] The user accesses the system using a mobile device or a personal computer and enters a question about a tourist destination. The input is in text or voice format. For example, enter "Tell me about Sensoji Temple in Tokyo." The input data is formatted on the terminal and prepared for transmission to the server.

[0289] Step 2:

[0290] The terminal transmits the input data received from the user to the server. Here, it performs the function of converting text data into an appropriate format and transferring it through the network. By this process, the input data is provided to the server.

[0291] Step 3:

[0292] The server analyzes the received user input data using natural language processing technology. At this time, it recognizes keywords and intentions in the input data and performs necessary data processing. Based on the analysis results, it generates a prompt for the generation AI model. This prompt sentence is in a form such as "Please explain the history of Sensoji Temple. Please consider the selected character and the user's set language."

[0293] Step 4:

[0294] The server uses the generation AI model to generate a digital guide and create a response based on the user's request. Specifically, it constructs the character's speech based on the prompt sentence and generates multilingual information. The generated data is organized within the server and translated according to the user's language setting.

[0295] Step 5:

[0296] The server retrieves relevant tourist destination information from external sources. This includes communicating with external APIs to collect the latest tourist destination information. The retrieved information is documented based on user requests, and personalization is applied by a generative AI.

[0297] Step 6:

[0298] The server then sends the prepared data back to the terminal. Here, the data is ready to be responded to by the user, converted into a format that the terminal can receive, and sent.

[0299] Step 7:

[0300] The user receives a generated response on their device. Here, character-based guidance is provided in text format or as audio output. The user can review this, ask further questions, or use the information to plan their trip.

[0301] (Application Example 1)

[0302] 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."

[0303] Foreign tourists visiting Japan face language barriers when exploring tourist destinations, and they often struggle to understand deeper cultural and historical contexts beyond the limited information they receive during their trips. Furthermore, there is a growing need for methods that allow for virtual tourism experiences without requiring actual visits.

[0304] 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.

[0305] In this invention, the server includes means for analyzing inquiries from users using natural language processing technology, means for designing a virtual guide using generative artificial intelligence, means for obtaining location information in multiple languages and creating answers, and means for visually presenting the virtual guide through a visual assistance device. As a result, users can virtually enjoy in-depth information about tourist destinations in Japan beyond language barriers.

[0306] "Natural language processing technology" is a technology for computers to understand, analyze, and generate human language.

[0307] "Generative artificial intelligence" is artificial intelligence that can generate new information and content from given data.

[0308] "Virtual guide" refers to a character that provides tourist guidance and information in a virtual space.

[0309] "Means for obtaining location information in multiple languages and creating answers" is a mechanism for collecting geographical information in different languages and constructing answers based on that information.

[0310] "User terminal" refers to a mobile device or computer used by a user to access services and information.

[0311] "Visual assistance device" is a device that allows users to visually see virtual information and characters overlaid on the real world.

[0312] The system that realizes this invention consists of a server and a user terminal working in conjunction. The server analyzes user inquiries using natural language processing technology and designs a virtual guide using generative artificial intelligence. Furthermore, it has the function to acquire location information in multiple languages ​​and generate answers. For this purpose, open-source natural language processing toolkits such as spaCy and OpenAI's GPT model as generative AI are utilized. These processes are performed in a cloud server environment, enabling rapid responses to user inquiries.

[0313] The user's terminal allows for real-time interaction with a virtual guide. By using smartphones or visual aids such as smart glasses, users can visually experience virtual information superimposed on the real world. Voice synthesis provides voice guidance in the selected language setting, offering users an immersive sightseeing experience. Visual aids using AR technology are recommended, as they can naturally display the virtual guide within the user's field of view.

[0314] For example, if a user asks, "Tell me about Kinkaku-ji Temple in Kyoto," the system will use that information to retrieve historical and cultural information about Kinkaku-ji Temple and provide it to the user in multiple languages. The following are examples of prompts used for the generative AI model in this process:

[0315] "The tourist destination the user wants to know about: Kinkaku-ji Temple in Kyoto. Please explain it to the user, including its history and cultural significance. The tour guide character should be intelligent and calm. Please use English for the audio."

[0316] This system enables flexible responses that meet user expectations, enriching the tourist experience for foreign visitors to Japan.

[0317] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0318] Step 1:

[0319] The server receives inquiries from the user's terminal. This input information is natural language text, and the server uses natural language processing technology (e.g., spaCy) to analyze the input text and extract relevant keywords. This allows the server to understand the user's intent and requests.

[0320] Step 2:

[0321] The server uses a generative AI model (e.g., OpenAI's GPT model) to create prompt messages for generating a virtual guide that meets the user's requests. Based on the analysis results received as input, it generates a character that matches the user's specified characteristics and language. These prompt messages are sent to the generative AI model, which outputs information about the character's personality and speaking style.

[0322] Step 3:

[0323] The server uses an external API to retrieve multilingual tourist destination information from a location database. This information consists of cultural and historical data related to the tourist destination the user is interested in. Based on the entered place name or location information, the API is called, relevant information is collected, and output in multiple languages.

[0324] Step 4:

[0325] The server translates the acquired tourist information into the user's selected language and generates a response. Using speech synthesis technology, the translated text is converted into audio data, preparing it for voice responses to the user. Google Cloud Text-to-Speech API, among others, is used for speech synthesis.

[0326] Step 5:

[0327] The user's terminal displays a virtual guide using a visual aid based on information received from the server. Here, AR technology is used to overlay the virtual guide onto the real world. The terminal plays generated audio guidance, enabling real-time interaction with the character.

[0328] 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.

[0329] This invention is a system that combines an emotion engine to provide foreign visitors to Japan with a deeper emotional experience when they understand Japanese culture and history. This system utilizes natural language processing technology and generative AI, and further uses an emotion engine to recognize the user's emotions, making the interaction with the virtual tour conductor more effective.

[0330] server:

[0331] The server receives information from the user and securely stores it in a database. It uses a generative AI to generate characters and runs an emotion engine that recognizes emotions from the text and voice input by the user. The emotion engine adjusts the responses and the character's tone based on the user's emotions.

[0332] Terminal:

[0333] On the device, an interface is displayed for the user and the virtual tour conductor to chat. The device sends the text and voice input from the user to the server, and the server displays responses and character expressions in real time according to the emotional state received from the server.

[0334] User:

[0335] Users access the system via mobile devices or PCs to receive real-time tourist information from virtual tour guides. Users can ask questions and share their thoughts using text or voice input, and the system generates appropriate responses based on the user's emotions.

[0336] Specific example:

[0337] For example, if a user asks about Fushimi Inari Taisha in Kyoto, "I wonder why there are so many torii gates," and then adds, "I love learning about history," the server will recognize positive emotions from this text. The emotion engine will prioritize providing detailed historical background information that will pique the user's interest, and the virtual tour conductor will explain in a more engaging tone. By enabling this kind of multifaceted communication, users can have a more emotionally resonant and memorable experience.

[0338] This invention enables foreign visitors to Japan to have emotionally connected experiences with Japanese tourist destinations and deepen their cultural understanding. Furthermore, it aims to equalize regional tourism demand and qualitatively improve the tourism experience.

[0339] The following describes the processing flow.

[0340] Step 1:

[0341] Users access a dedicated application or web platform using a mobile device or PC and log in. Here, they enter information about their favorite characters, desired translation languages, and tourist destinations they wish to visit.

[0342] Step 2:

[0343] The terminal sends the information entered by the user to the server. This information includes the selected character, language, and tourist destination.

[0344] Step 3:

[0345] The server receives user input information and securely stores it in a database. Using a generative AI, it generates a character selected by the user and prepares it to act as a virtual tour conductor.

[0346] Step 4:

[0347] The server retrieves information about tourist destinations from a database or external API, and organizes and translates that information if multilingual support is required.

[0348] Step 5:

[0349] The user's device displays an interface for chatting with a generated virtual tour conductor. The user can ask questions and make comments to the character via text or voice input.

[0350] Step 6:

[0351] User input is sent from the device to the server as text or audio. The server uses natural language processing technology to analyze questions and comments.

[0352] Step 7:

[0353] The server uses an emotion engine to recognize the user's emotional state from their input. It determines whether the user is expressing positive, negative, or neutral emotions.

[0354] Step 8:

[0355] Based on the user's emotional state, the server generates an appropriate response. For example, if the user is agitated, the server adjusts its response to provide more detailed and emotional information.

[0356] Step 9:

[0357] The server sends the generated response to the user's terminal, adjusts the virtual tour conductor's tone and facial expressions according to the user's emotional state, and displays them on the interface.

[0358] Step 10:

[0359] Users can receive real-time tourist information through their device's interface, enabling them to have an emotionally enriching travel experience.

[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] The current tourism information system has problems that make it difficult for users to obtain information based on their individual feelings and interests, resulting in lower satisfaction with the tourism experience. In addition, the lack of multilingual support limits the transmission of information and makes it difficult to meet the diverse needs of users. Furthermore, the lack of customization for characters that create a sense of familiarity with users makes it difficult to provide personalized tourism experiences.

[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 analyzing user questions using natural language processing technology, means for generating characters using generative artificial intelligence, and means for performing emotion analysis and adjusting responses and character tone based on the user's emotions. This makes it possible to provide personalized tourist information that is sensitive to the user's emotions. Furthermore, by providing information in multiple languages ​​and customizing characters according to user specifications, users can have a more familiar and fulfilling tourist experience.

[0365] "Natural language processing technology" is a technology that enables computers to analyze and understand human language, and is used to appropriately process user input.

[0366] "Generative artificial intelligence" is a type of artificial intelligence that has the ability to automatically generate digital characters and information according to the situation and needs.

[0367] A "character" refers to a digital personality or form of expression that serves the role of interacting with users and providing information.

[0368] "Emotion analysis" is a technology that infers a user's emotional state from their text or voice input and uses that information to generate responses and adjust interactions.

[0369] "Multilingual" refers to the ability to support different language groups and provide information in a language that suits the user's purpose.

[0370] An "interface" is a collection of screens and operating environments that allow users and systems to exchange information, and it plays a role in enabling communication with the server.

[0371] "Customization" refers to the process of individualizing a character's appearance, voice, and other characteristics according to the user's choices.

[0372] To implement this invention, the server, terminal, and user primarily fulfill their respective roles.

[0373] server:

[0374] The server is a high-performance computing machine located in the cloud, possessing the computing power necessary to run the generative AI model. First, the server receives text and voice data sent from the user through their terminal. This data is analyzed using natural language processing techniques to recognize the user's intentions and questions. Next, sentiment analysis is performed to evaluate the user's emotional state, and this information is fed back to the generative AI model. Based on this information, the generative AI model generates responses from the virtual tour conductor. In this process, the tone and facial expressions of the generated character are also adjusted according to the emotion.

[0375] Terminal:

[0376] The terminal functions as a user interface, providing a platform for users to interact with a virtual tour conductor. It sends user text or voice input to the server and receives responses and character information from the server. This information is then displayed or played aloud in an easily understandable format for the user. The terminal also includes a translation function, depending on the user's selected language.

[0377] User:

[0378] Users access the system using their mobile devices or computers. They input travel-related questions and comments via text or voice and receive results in real time. Through this interaction, users can access emotionally sensitive and personalized travel information, leading to a richer experience.

[0379] Specific example:

[0380] The user enters the prompt "Please tell me about famous temples in Kyoto. I'm very interested in history" into the device. The server receives this information and recognizes the user's high level of interest through sentiment analysis. As a result, the generative AI model prioritizes generating particularly detailed and interesting information and responds to the user through the device. This allows the user to obtain detailed and personalized information regarding their question.

[0381] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0382] Step 1:

[0383] The user initiates a connection with a virtual tour conductor using a mobile device or computer. The user inputs questions and comments about the tour via text or voice. This input data is sent to the device as prompt messages.

[0384] Step 2:

[0385] The terminal receives input data (text or voice) from the user and sends it to the server. The input data is converted into a digital format in its original form and prepared for processing by the server.

[0386] Step 3:

[0387] The server receives data sent from the terminal. First, it analyzes the text data using natural language processing to understand the user's intent and questions. The input here is the user's text or voice data, and the output is the user's intent and questions as a result of the analysis.

[0388] Step 4:

[0389] The server then performs sentiment analysis. Text analysis techniques are applied to extract emotional elements from the user's input. In this process, the user's text and voice data are used as input, and the user's emotional state is obtained as output. The analysis results are temporarily stored in a database.

[0390] Step 5:

[0391] The server uses a generative AI model to generate responses from the virtual tour conductor. Here, the generative AI model is operated using the prompt text and the resulting emotional state as input data, adjusting the response and character tone to match the user's emotions.

[0392] Step 6:

[0393] The generated response data is sent from the server to the terminal. This data includes the generated text response, voice, and character facial expression information. The terminal then converts it into a format suitable for display and audio playback.

[0394] Step 7:

[0395] The terminal displays response data received from the server to the user. The user interacts with the virtual tour conductor through real-time displayed text, audio, and character expressions. This final output allows the user to enjoy emotionally resonant tourism information.

[0396] (Application Example 2)

[0397] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0398] Existing tourist information systems make it difficult for foreign tourists to emotionally connect with the culture and history of their destinations, resulting in insufficient cultural understanding. Furthermore, the style of introducing tourist spots and related products is uniform, lacking sufficient personalization to meet the individual interests and emotions of users. Therefore, a system is needed that recognizes users' emotions in real time and flexibly adjusts information and product recommendations based on those emotions.

[0399] 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.

[0400] In this invention, the server includes means for analyzing information using natural language processing technology, means for generating a virtual tour guide using generative artificial intelligence, and means for recognizing the user's emotions using an emotion analysis engine and adjusting the response and the guide's tone based on those emotions. This allows the user to receive flexible guidance and introductions that are tailored to their own emotions.

[0401] "Natural language processing technology" is a technology that analyzes text and voice input from users to understand their meaning and intent.

[0402] "Generative artificial intelligence" is a technology that generates virtual characters and responses based on given information.

[0403] A "virtual tour guide" is a virtual character that provides users with information about tourist destinations and cultural sites.

[0404] A "sentiment analysis engine" is an engine that identifies emotions from a user's text or voice and adjusts the optimal content delivery method based on the results.

[0405] "Personalization" refers to customizing the appearance and voice of content and characters according to the user's preferences and choices.

[0406] "Flexible guidance" refers to guidance that has the ability to adapt by changing the content and tone of the guidance based on the user's emotions and interests.

[0407] The system of the present invention operates primarily with a server, terminals, and users.

[0408] The server uses natural language processing technology to analyze text or voice data sent by the user to understand the user's questions and requests. The analyzed data is processed by an emotion analysis engine to identify the user's emotional state. The emotion_ai_sdk is used as the emotion analysis engine. Based on the emotional state, a virtual tour guide is generated using generative artificial intelligence, and this guide is created in real time using AI generation technology. The generated guide provides information to the user with appropriate tone and facial expressions.

[0409] The terminal displays a user interface through which the user can interact with the system. The user inputs information into the system using text or voice, and receives guidance on specific tourist destinations or cultural information. The terminal also receives responses from the server, which are then presented to the user visually or audibly.

[0410] Users access the system using a mobile device or PC. By selecting a tourist destination and querying information of interest, the system generates emotion-based, personalized guidance.

[0411] For example, if a user types "I want to learn more about the traditional cuisine of this region" on their smartphone, the system recognizes this sentiment as interesting. The system generates detailed information, including background and history, and a virtual tour guide presents it to the user in an engaging way. An example of a prompt would be, "Please provide a conversational style to positively explain the origins and cultural significance of local cuisine to a user interested in it."

[0412] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0413] Step 1:

[0414] Users access the terminal via smartphone or PC and input the information they want as text or voice input. The input data is converted into a digital format on the terminal and sent to the server.

[0415] Step 2:

[0416] The server analyzes the received text or audio data using natural language processing techniques. It structures the input information through syntax analysis to understand the user's questions and interests. The analysis results are output as data to identify the content and intent of the questions.

[0417] Step 3:

[0418] The server evaluates the data using an emotion analysis engine based on the analysis results. It uses emotion_ai_sdk to determine the user's emotional state and selects the optimal response strategy accordingly. The analysis results and emotional information are integrated and output as data for further processing.

[0419] Step 4:

[0420] The server generates a virtual tour guide using generative AI. The generative AI model creates a guide in a specific tone and style based on the user's questions and emotional state. Specific generation prompts are given to instruct the system to generate a guide based on the user's requests. The generated guide is output as data.

[0421] Step 5:

[0422] The guidance data generated from the server is returned to the terminal. The terminal displays or plays the data as audio in a format that the user can understand. This allows the user to receive information in an emotionally relatable way.

[0423] Step 6:

[0424] The user reviews the provided instructions and enters any additional questions or feedback into the device as needed. Subsequent interactions are conducted by repeating the process from steps 1 to 5.

[0425] 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.

[0426] 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.

[0427] 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.

[0428] [Third Embodiment]

[0429] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0430] 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.

[0431] 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).

[0432] 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.

[0433] 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.

[0434] 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).

[0435] 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.

[0436] 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.

[0437] 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.

[0438] 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.

[0439] 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.

[0440] 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".

[0441] This invention provides a system that allows foreign visitors to Japan to virtually tour Japanese tourist destinations and gain a deeper understanding of Japanese culture and history, overcoming language barriers. This system utilizes natural language processing technology and generative AI to generate a character of the user's choice to act as a tour conductor and provides tourist destination information in multiple languages.

[0442] server:

[0443] The server functions as the central hub for managing data across the entire system. It receives user input and securely stores it in the database. It uses AI to create character models based on user requests and analyzes user questions using natural language processing technology. It also interacts with external APIs to retrieve tourist destination information and generates real-time responses to users.

[0444] Terminal:

[0445] The terminal serves as the interface between the user and the system. The user terminal displays an interface for chatting with a virtual tour conductor. This interface supports text and voice input and enables multilingual interaction based on the user's language settings.

[0446] User:

[0447] Users can access the system via mobile devices or PCs and enjoy the experience of obtaining information about tourist destinations together with their favorite characters. Using the device's interface, users can input questions about tourist destinations and receive answers from a virtual tour conductor. Furthermore, based on the information entered by the user, the system accurately provides tourist destination information tailored to the user's interests.

[0448] Specific example:

[0449] For example, if a user asks, "Tell me about Senso-ji Temple in Asakusa, Tokyo," the server analyzes the question, researches the history and cultural significance of Senso-ji Temple, and provides that information in the user's chosen language through a selected character. In this way, foreign visitors to Japan can overcome language barriers to understand Japanese culture and enjoy the charm of tourist destinations.

[0450] This invention is expected to enrich the tourism experience of foreign visitors to Japan while aiming to equalize tourism demand in local areas.

[0451] The following describes the processing flow.

[0452] Step 1:

[0453] Users access a dedicated application or web platform using a mobile device or PC and log in. They then enter information such as their favorite character, preferred translation language, and desired tourist destinations.

[0454] Step 2:

[0455] The terminal sends the information entered by the user to the server. This information includes the selected character, language setting, and choice of tourist destination.

[0456] Step 3:

[0457] The server receives user input information and stores it in a secure database. It also utilizes a generative AI to generate a specified character and prepares it to act as a virtual tour conductor.

[0458] Step 4:

[0459] The server retrieves information about tourist destinations from a database or external API and organizes the information for multilingual support as needed. This information includes the history, culture, and attractions of the tourist destinations.

[0460] Step 5:

[0461] The user's device displays an interface for chatting with a generated virtual tour conductor. The user can ask the character questions via text or voice input.

[0462] Step 6:

[0463] The user enters a question about a tourist destination, and the device sends that question to the server.

[0464] Step 7:

[0465] The server receives the submitted question and analyzes its content using natural language processing techniques. It then generates an appropriate response to the question and translates it into the user's chosen language.

[0466] Step 8:

[0467] The server sends the generated response back to the user's terminal. The user receives the response from the virtual tour conductor on the terminal's interface and can enjoy real-time tourist information.

[0468] (Example 1)

[0469] 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."

[0470] When foreign visitors use these services, there is a challenge in overcoming language barriers to gain a deeper understanding of the culture and history of Japanese tourist destinations and to realize a more personalized travel experience. Furthermore, there is a need to provide information in real time that can accommodate the different languages ​​and character preferences of users.

[0471] 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.

[0472] In this invention, the server includes a device that analyzes user questions using natural language processing technology, a device that generates a digital guide using generative AI, and a device that acquires location information in multiple languages ​​and generates responses. This makes it possible to provide personalized tourist information according to the language and character settings selected by the user.

[0473] "Natural language processing technology" refers to the technology that enables computers to recognize, understand, and generate human language.

[0474] "Generative AI" is a technology that uses artificial intelligence to automatically generate content and characters based on user requests.

[0475] A "digital guide" is a virtual character generated on a computer to act as a guide for the user, and it has the function of providing information in multiple languages.

[0476] "Multilingualism" refers to providing information in multiple different languages, and means enabling the provision of information in each of those languages.

[0477] "Providing an operation screen instantly" means generating a visual interface in real time based on user requests and enabling the necessary operations.

[0478] "Applying personalization" means modifying visual and auditory features according to the user's preferences to provide a service tailored to that user.

[0479] "Obtaining relevant information from external sources" means using databases or APIs outside the system to collect the necessary information.

[0480] "Tourism information" refers to information related to the history, culture, geography, etc., of a specific tourist destination.

[0481] The embodiments for carrying out this invention are shown below.

[0482] server:

[0483] The server, as the central component of the system, is equipped with software libraries that leverage natural language processing technology. This allows for effective analysis of user input. Based on this analysis, a generative AI platform is used to generate a digital guide. This AI generates personalized content according to the user's choices and preferences and supports information retrieval in multiple languages. The server also collects relevant information about tourist locations through integration with external APIs and generates responses in real time. Specific technologies used include open-source frameworks for natural language processing and generative AI models (e.g., the GPT model).

[0484] Terminal:

[0485] The terminal serves as the interface connecting the user and the system. It provides a multimedia-enabled interface where users can input text and voice, and enjoy interacting with generated digital guides. The terminal offers universal multilingual support and instantly displays the operation screen based on user selection. It also provides personalized visual and audio output in response to user requests.

[0486] User:

[0487] Users initiate interaction with the system using a mobile device or computer. They input questions about tourist destinations or themes of interest and receive immediate results, helping them to gain a deeper understanding of culture and history. An example of a prompt might be, "Please tell me about the history of Senso-ji Temple, taking into account the selected character and the user's language setting."

[0488] This invention aims to provide personalized travel experiences to visitors worldwide, transcending language barriers. By utilizing generative AI, it becomes possible to deliver more natural and engaging information to users.

[0489] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0490] Step 1:

[0491] Users access the system using a mobile device or computer and enter questions about tourist destinations. Input can be in text or voice format. For example, a user might enter, "Tell me about Senso-ji Temple in Asakusa, Tokyo." The input data is formatted on the device and prepared for transmission to the server.

[0492] Step 2:

[0493] The terminal sends the input data received from the user to the server. Here, it performs the function of converting the text data into an appropriate format and transferring it over the network. This process provides the input data to the server.

[0494] Step 3:

[0495] The server analyzes the received user input data using natural language processing techniques. During this process, it recognizes keywords and intent within the input data and performs necessary data processing. Based on the analysis results, it generates prompts for the AI ​​model. These prompts may take the form of, "Please explain the history of Senso-ji Temple. Please consider the selected character and the user's language setting."

[0496] Step 4:

[0497] The server uses a generative AI model to generate digital guides and create responses based on user requests. Specifically, it constructs character dialogue based on prompts and generates multilingual information. The generated data is organized within the server and translated according to the user's language settings.

[0498] Step 5:

[0499] The server retrieves relevant tourist destination information from external sources. This includes communicating with external APIs to collect the latest tourist destination information. The retrieved information is documented based on user requests, and personalization is applied by a generative AI.

[0500] Step 6:

[0501] The server then sends the prepared data back to the terminal. Here, the data is ready to be responded to by the user, converted into a format that the terminal can receive, and sent.

[0502] Step 7:

[0503] The user receives a generated response on their device. Here, character-based guidance is provided in text format or as audio output. The user can review this, ask further questions, or use the information to plan their trip.

[0504] (Application Example 1)

[0505] 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."

[0506] Foreign tourists visiting Japan face language barriers when exploring tourist destinations, and they often struggle to understand deeper cultural and historical contexts beyond the limited information they receive during their trips. Furthermore, there is a growing need for methods that allow for virtual tourism experiences without requiring actual visits.

[0507] 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.

[0508] In this invention, the server includes means for analyzing user inquiries using natural language processing technology, means for designing a virtual guide using generative artificial intelligence, means for acquiring location information in multiple languages ​​and creating responses, and means for visually presenting the virtual guide through a visual assistance device. This allows users to overcome language barriers and virtually enjoy in-depth information about Japanese tourist destinations.

[0509] "Natural language processing technology" refers to the technology that enables computers to understand, analyze, and generate human language.

[0510] "Generative artificial intelligence" is a type of artificial intelligence that can generate new information or content from given data.

[0511] A "virtual guide" refers to a character that provides tourist information and other information in a virtual space.

[0512] "A means of acquiring location information in multiple languages ​​and creating answers" refers to a system that collects geographical information in different languages ​​and constructs answers based on that information.

[0513] "User terminal" refers to mobile devices or computers that users use to access services and information.

[0514] A "visual assistance device" is a device that allows users to visually view virtual information and characters superimposed on the real world.

[0515] The system that realizes this invention consists of a server and a user terminal working in conjunction. The server analyzes user inquiries using natural language processing technology and designs a virtual guide using generative artificial intelligence. Furthermore, it has the function to acquire location information in multiple languages ​​and generate answers. For this purpose, open-source natural language processing toolkits such as spaCy and OpenAI's GPT model as generative AI are utilized. These processes are performed in a cloud server environment, enabling rapid responses to user inquiries.

[0516] The user's terminal allows for real-time interaction with a virtual guide. By using smartphones or visual aids such as smart glasses, users can visually experience virtual information superimposed on the real world. Voice synthesis provides voice guidance in the selected language setting, offering users an immersive sightseeing experience. Visual aids using AR technology are recommended, as they can naturally display the virtual guide within the user's field of view.

[0517] For example, if a user asks, "Tell me about Kinkaku-ji Temple in Kyoto," the system will use that information to retrieve historical and cultural information about Kinkaku-ji Temple and provide it to the user in multiple languages. The following are examples of prompts used for the generative AI model in this process:

[0518] "The tourist destination the user wants to know about: Kinkaku-ji Temple in Kyoto. Please explain it to the user, including its history and cultural significance. The tour guide character should be intelligent and calm. Please use English for the audio."

[0519] This system enables flexible responses that meet user expectations, enriching the tourist experience for foreign visitors to Japan.

[0520] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0521] Step 1:

[0522] The server receives inquiries from the user's terminal. This input information is natural language text, and the server uses natural language processing technology (e.g., spaCy) to analyze the input text and extract relevant keywords. This allows the server to understand the user's intent and requests.

[0523] Step 2:

[0524] The server uses a generative AI model (e.g., OpenAI's GPT model) to create prompt messages for generating a virtual guide that meets the user's requests. Based on the analysis results received as input, it generates a character that matches the user's specified characteristics and language. These prompt messages are sent to the generative AI model, which outputs information about the character's personality and speaking style.

[0525] Step 3:

[0526] The server uses an external API to retrieve multilingual tourist destination information from a location database. This information consists of cultural and historical data related to the tourist destination the user is interested in. Based on the entered place name or location information, the API is called, relevant information is collected, and output in multiple languages.

[0527] Step 4:

[0528] The server translates the acquired tourist information into the user's selected language and generates a response. Using speech synthesis technology, the translated text is converted into audio data, preparing it for voice responses to the user. Google Cloud Text-to-Speech API, among others, is used for speech synthesis.

[0529] Step 5:

[0530] The user's terminal displays a virtual guide using a visual aid based on information received from the server. Here, AR technology is used to overlay the virtual guide onto the real world. The terminal plays generated audio guidance, enabling real-time interaction with the character.

[0531] 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.

[0532] This invention is a system that combines an emotion engine to provide foreign visitors to Japan with a deeper emotional experience when they understand Japanese culture and history. This system utilizes natural language processing technology and generative AI, and further uses an emotion engine to recognize the user's emotions, making the interaction with the virtual tour conductor more effective.

[0533] server:

[0534] The server receives information from the user and securely stores it in a database. It uses a generative AI to generate characters and runs an emotion engine that recognizes emotions from the text and voice input by the user. The emotion engine adjusts the responses and the character's tone based on the user's emotions.

[0535] Terminal:

[0536] On the device, an interface is displayed for the user and the virtual tour conductor to chat. The device sends the text and voice input from the user to the server, and the server displays responses and character expressions in real time according to the emotional state received from the server.

[0537] User:

[0538] Users access the system via mobile devices or PCs to receive real-time tourist information from virtual tour guides. Users can ask questions and share their thoughts using text or voice input, and the system generates appropriate responses based on the user's emotions.

[0539] Specific example:

[0540] For example, if a user asks about Fushimi Inari Taisha in Kyoto, "I wonder why there are so many torii gates," and then adds, "I love learning about history," the server will recognize positive emotions from this text. The emotion engine will prioritize providing detailed historical background information that will pique the user's interest, and the virtual tour conductor will explain in a more engaging tone. By enabling this kind of multifaceted communication, users can have a more emotionally resonant and memorable experience.

[0541] This invention enables foreign visitors to Japan to have emotionally connected experiences with Japanese tourist destinations and deepen their cultural understanding. Furthermore, it aims to equalize regional tourism demand and qualitatively improve the tourism experience.

[0542] The following describes the processing flow.

[0543] Step 1:

[0544] Users access a dedicated application or web platform using a mobile device or PC and log in. Here, they enter information about their favorite characters, desired translation languages, and tourist destinations they wish to visit.

[0545] Step 2:

[0546] The terminal sends the information entered by the user to the server. This information includes the selected character, language, and tourist destination.

[0547] Step 3:

[0548] The server receives user input information and securely stores it in a database. Using a generative AI, it generates a character selected by the user and prepares it to act as a virtual tour conductor.

[0549] Step 4:

[0550] The server retrieves information about tourist destinations from a database or external API, and organizes and translates that information if multilingual support is required.

[0551] Step 5:

[0552] The user's device displays an interface for chatting with a generated virtual tour conductor. The user can ask questions and make comments to the character via text or voice input.

[0553] Step 6:

[0554] User input is sent from the device to the server as text or audio. The server uses natural language processing technology to analyze questions and comments.

[0555] Step 7:

[0556] The server uses an emotion engine to recognize the user's emotional state from their input. It determines whether the user is expressing positive, negative, or neutral emotions.

[0557] Step 8:

[0558] Based on the user's emotional state, the server generates an appropriate response. For example, if the user is agitated, the server adjusts its response to provide more detailed and emotional information.

[0559] Step 9:

[0560] The server sends the generated response to the user's terminal, adjusts the virtual tour conductor's tone and facial expressions according to the user's emotional state, and displays them on the interface.

[0561] Step 10:

[0562] Users can receive real-time tourist information through their device's interface, enabling them to have an emotionally enriching travel experience.

[0563] (Example 2)

[0564] 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."

[0565] The current tourism information system has problems that make it difficult for users to obtain information based on their individual feelings and interests, resulting in lower satisfaction with the tourism experience. In addition, the lack of multilingual support limits the transmission of information and makes it difficult to meet the diverse needs of users. Furthermore, the lack of customization for characters that create a sense of familiarity with users makes it difficult to provide personalized tourism experiences.

[0566] 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.

[0567] In this invention, the server includes means for analyzing user questions using natural language processing technology, means for generating characters using generative artificial intelligence, and means for performing emotion analysis and adjusting responses and character tone based on the user's emotions. This makes it possible to provide personalized tourist information that is sensitive to the user's emotions. Furthermore, by providing information in multiple languages ​​and customizing characters according to user specifications, users can have a more familiar and fulfilling tourist experience.

[0568] "Natural language processing technology" is a technology that enables computers to analyze and understand human language, and is used to appropriately process user input.

[0569] "Generative artificial intelligence" is a type of artificial intelligence that has the ability to automatically generate digital characters and information according to the situation and needs.

[0570] A "character" refers to a digital personality or form of expression that serves the role of interacting with users and providing information.

[0571] "Emotion analysis" is a technology that infers a user's emotional state from their text or voice input and uses that information to generate responses and adjust interactions.

[0572] "Multilingual" refers to the ability to support different language groups and provide information in a language that suits the user's purpose.

[0573] An "interface" is a collection of screens and operating environments that allow users and systems to exchange information, and it plays a role in enabling communication with the server.

[0574] "Customization" refers to the process of individualizing a character's appearance, voice, and other characteristics according to the user's choices.

[0575] To implement this invention, the server, terminal, and user primarily fulfill their respective roles.

[0576] server:

[0577] The server is a high-performance computing machine located in the cloud, possessing the computing power necessary to run the generative AI model. First, the server receives text and voice data sent from the user through their terminal. This data is analyzed using natural language processing techniques to recognize the user's intentions and questions. Next, sentiment analysis is performed to evaluate the user's emotional state, and this information is fed back to the generative AI model. Based on this information, the generative AI model generates responses from the virtual tour conductor. In this process, the tone and facial expressions of the generated character are also adjusted according to the emotion.

[0578] Terminal:

[0579] The terminal functions as a user interface, providing a platform for users to interact with a virtual tour conductor. It sends user text or voice input to the server and receives responses and character information from the server. This information is then displayed or played aloud in an easily understandable format for the user. The terminal also includes a translation function, depending on the user's selected language.

[0580] User:

[0581] Users access the system using their mobile devices or computers. They input travel-related questions and comments via text or voice and receive results in real time. Through this interaction, users can access emotionally sensitive and personalized travel information, leading to a richer experience.

[0582] Specific example:

[0583] The user enters the prompt "Please tell me about famous temples in Kyoto. I'm very interested in history" into the device. The server receives this information and recognizes the user's high level of interest through sentiment analysis. As a result, the generative AI model prioritizes generating particularly detailed and interesting information and responds to the user through the device. This allows the user to obtain detailed and personalized information regarding their question.

[0584] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0585] Step 1:

[0586] The user initiates a connection with a virtual tour conductor using a mobile device or computer. The user inputs questions and comments about the tour via text or voice. This input data is sent to the device as prompt messages.

[0587] Step 2:

[0588] The terminal receives input data (text or voice) from the user and sends it to the server. The input data is converted into a digital format in its original form and prepared for processing by the server.

[0589] Step 3:

[0590] The server receives data sent from the terminal. First, it analyzes the text data using natural language processing to understand the user's intent and questions. The input here is the user's text or voice data, and the output is the user's intent and questions as a result of the analysis.

[0591] Step 4:

[0592] The server then performs sentiment analysis. Text analysis techniques are applied to extract emotional elements from the user's input. In this process, the user's text and voice data are used as input, and the user's emotional state is obtained as output. The analysis results are temporarily stored in a database.

[0593] Step 5:

[0594] The server uses a generative AI model to generate responses from the virtual tour conductor. Here, the generative AI model is operated using the prompt text and the resulting emotional state as input data, adjusting the response and character tone to match the user's emotions.

[0595] Step 6:

[0596] The generated response data is sent from the server to the terminal. This data includes the generated text response, voice, and character facial expression information. The terminal then converts it into a format suitable for display and audio playback.

[0597] Step 7:

[0598] The terminal displays response data received from the server to the user. The user interacts with the virtual tour conductor through real-time displayed text, audio, and character expressions. This final output allows the user to enjoy emotionally resonant tourism information.

[0599] (Application Example 2)

[0600] 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."

[0601] Existing tourist information systems make it difficult for foreign tourists to emotionally connect with the culture and history of their destinations, resulting in insufficient cultural understanding. Furthermore, the style of introducing tourist spots and related products is uniform, lacking sufficient personalization to meet the individual interests and emotions of users. Therefore, a system is needed that recognizes users' emotions in real time and flexibly adjusts information and product recommendations based on those emotions.

[0602] 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.

[0603] In this invention, the server includes means for analyzing information using natural language processing technology, means for generating a virtual tour guide using generative artificial intelligence, and means for recognizing the user's emotions using an emotion analysis engine and adjusting the response and the guide's tone based on those emotions. This allows the user to receive flexible guidance and introductions that are tailored to their own emotions.

[0604] "Natural language processing technology" is a technology that analyzes text and voice input from users to understand their meaning and intent.

[0605] "Generative artificial intelligence" is a technology that generates virtual characters and responses based on given information.

[0606] A "virtual tour guide" is a virtual character that provides users with information about tourist destinations and cultural sites.

[0607] A "sentiment analysis engine" is an engine that identifies emotions from a user's text or voice and adjusts the optimal content delivery method based on the results.

[0608] "Personalization" refers to customizing the appearance and voice of content and characters according to the user's preferences and choices.

[0609] "Flexible guidance" refers to guidance that has the ability to adapt by changing the content and tone of the guidance based on the user's emotions and interests.

[0610] The system of the present invention operates primarily with a server, terminals, and users.

[0611] The server uses natural language processing technology to analyze text or voice data sent by the user to understand the user's questions and requests. The analyzed data is processed by an emotion analysis engine to identify the user's emotional state. The emotion_ai_sdk is used as the emotion analysis engine. Based on the emotional state, a virtual tour guide is generated using generative artificial intelligence, and this guide is created in real time using AI generation technology. The generated guide provides information to the user with appropriate tone and facial expressions.

[0612] The terminal displays a user interface through which the user can interact with the system. The user inputs information into the system using text or voice, and receives guidance on specific tourist destinations or cultural information. The terminal also receives responses from the server, which are then presented to the user visually or audibly.

[0613] Users access the system using a mobile device or PC. By selecting a tourist destination and querying information of interest, the system generates emotion-based, personalized guidance.

[0614] For example, if a user types "I want to learn more about the traditional cuisine of this region" on their smartphone, the system recognizes this sentiment as interesting. The system generates detailed information, including background and history, and a virtual tour guide presents it to the user in an engaging way. An example of a prompt would be, "Please provide a conversational style to positively explain the origins and cultural significance of local cuisine to a user interested in it."

[0615] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0616] Step 1:

[0617] Users access the terminal via smartphone or PC and input the information they want as text or voice input. The input data is converted into a digital format on the terminal and sent to the server.

[0618] Step 2:

[0619] The server analyzes the received text or audio data using natural language processing techniques. It structures the input information through syntax analysis to understand the user's questions and interests. The analysis results are output as data to identify the content and intent of the questions.

[0620] Step 3:

[0621] The server evaluates the data using an emotion analysis engine based on the analysis results. It uses emotion_ai_sdk to determine the user's emotional state and selects the optimal response strategy accordingly. The analysis results and emotional information are integrated and output as data for further processing.

[0622] Step 4:

[0623] The server generates a virtual tour guide using generative AI. The generative AI model creates a guide in a specific tone and style based on the user's questions and emotional state. Specific generation prompts are given to instruct the system to generate a guide based on the user's requests. The generated guide is output as data.

[0624] Step 5:

[0625] The guidance data generated from the server is returned to the terminal. The terminal displays or plays the data as audio in a format that the user can understand. This allows the user to receive information in an emotionally relatable way.

[0626] Step 6:

[0627] The user reviews the provided instructions and enters any additional questions or feedback into the device as needed. Subsequent interactions are conducted by repeating the process from steps 1 to 5.

[0628] 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.

[0629] 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.

[0630] 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.

[0631] [Fourth Embodiment]

[0632] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0633] 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.

[0634] 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).

[0635] 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.

[0636] 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.

[0637] 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).

[0638] 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.

[0639] 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.

[0640] 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.

[0641] 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.

[0642] 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.

[0643] 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.

[0644] 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".

[0645] This invention provides a system that allows foreign visitors to Japan to virtually tour Japanese tourist destinations and gain a deeper understanding of Japanese culture and history, overcoming language barriers. This system utilizes natural language processing technology and generative AI to generate a character of the user's choice to act as a tour conductor and provides tourist destination information in multiple languages.

[0646] server:

[0647] The server functions as the central hub for managing data across the entire system. It receives user input and securely stores it in the database. It uses AI to create character models based on user requests and analyzes user questions using natural language processing technology. It also interacts with external APIs to retrieve tourist destination information and generates real-time responses to users.

[0648] Terminal:

[0649] The terminal serves as the interface between the user and the system. The user terminal displays an interface for chatting with a virtual tour conductor. This interface supports text and voice input and enables multilingual interaction based on the user's language settings.

[0650] User:

[0651] Users can access the system via mobile devices or PCs and enjoy the experience of obtaining information about tourist destinations together with their favorite characters. Using the device's interface, users can input questions about tourist destinations and receive answers from a virtual tour conductor. Furthermore, based on the information entered by the user, the system accurately provides tourist destination information tailored to the user's interests.

[0652] Specific example:

[0653] For example, if a user asks, "Tell me about Senso-ji Temple in Asakusa, Tokyo," the server analyzes the question, researches the history and cultural significance of Senso-ji Temple, and provides that information in the user's chosen language through a selected character. In this way, foreign visitors to Japan can overcome language barriers to understand Japanese culture and enjoy the charm of tourist destinations.

[0654] This invention is expected to enrich the tourism experience of foreign visitors to Japan while aiming to equalize tourism demand in local areas.

[0655] The following describes the processing flow.

[0656] Step 1:

[0657] Users access a dedicated application or web platform using a mobile device or PC and log in. They then enter information such as their favorite character, preferred translation language, and desired tourist destinations.

[0658] Step 2:

[0659] The terminal sends the information entered by the user to the server. This information includes the selected character, language setting, and choice of tourist destination.

[0660] Step 3:

[0661] The server receives user input information and stores it in a secure database. It also utilizes a generative AI to generate a specified character and prepares it to act as a virtual tour conductor.

[0662] Step 4:

[0663] The server retrieves information about tourist destinations from a database or external API and organizes the information for multilingual support as needed. This information includes the history, culture, and attractions of the tourist destinations.

[0664] Step 5:

[0665] The user's device displays an interface for chatting with a generated virtual tour conductor. The user can ask the character questions via text or voice input.

[0666] Step 6:

[0667] The user enters a question about a tourist destination, and the device sends that question to the server.

[0668] Step 7:

[0669] The server receives the submitted question and analyzes its content using natural language processing techniques. It then generates an appropriate response to the question and translates it into the user's chosen language.

[0670] Step 8:

[0671] The server sends the generated response back to the user's terminal. The user receives the response from the virtual tour conductor on the terminal's interface and can enjoy real-time tourist information.

[0672] (Example 1)

[0673] 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".

[0674] When foreign visitors use these services, there is a challenge in overcoming language barriers to gain a deeper understanding of the culture and history of Japanese tourist destinations and to realize a more personalized travel experience. Furthermore, there is a need to provide information in real time that can accommodate the different languages ​​and character preferences of users.

[0675] 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.

[0676] In this invention, the server includes a device that analyzes user questions using natural language processing technology, a device that generates a digital guide using generative AI, and a device that acquires location information in multiple languages ​​and generates responses. This makes it possible to provide personalized tourist information according to the language and character settings selected by the user.

[0677] "Natural language processing technology" refers to the technology that enables computers to recognize, understand, and generate human language.

[0678] "Generative AI" is a technology that uses artificial intelligence to automatically generate content and characters based on user requests.

[0679] A "digital guide" is a virtual character generated on a computer to act as a guide for the user, and it has the function of providing information in multiple languages.

[0680] "Multilingualism" refers to providing information in multiple different languages, and means enabling the provision of information in each of those languages.

[0681] "Providing an operation screen instantly" means generating a visual interface in real time based on user requests and enabling the necessary operations.

[0682] "Applying personalization" means modifying visual and auditory features according to the user's preferences to provide a service tailored to that user.

[0683] "Obtaining relevant information from external sources" means using databases or APIs outside the system to collect the necessary information.

[0684] "Tourism information" refers to information related to the history, culture, geography, etc., of a specific tourist destination.

[0685] The embodiments for carrying out this invention are shown below.

[0686] server:

[0687] The server, as the central component of the system, is equipped with software libraries that leverage natural language processing technology. This allows for effective analysis of user input. Based on this analysis, a generative AI platform is used to generate a digital guide. This AI generates personalized content according to the user's choices and preferences and supports information retrieval in multiple languages. The server also collects relevant information about tourist locations through integration with external APIs and generates responses in real time. Specific technologies used include open-source frameworks for natural language processing and generative AI models (e.g., the GPT model).

[0688] Terminal:

[0689] The terminal serves as the interface connecting the user and the system. It provides a multimedia-enabled interface where users can input text and voice, and enjoy interacting with generated digital guides. The terminal offers universal multilingual support and instantly displays the operation screen based on user selection. It also provides personalized visual and audio output in response to user requests.

[0690] User:

[0691] Users initiate interaction with the system using a mobile device or computer. They input questions about tourist destinations or themes of interest and receive immediate results, helping them to gain a deeper understanding of culture and history. An example of a prompt might be, "Please tell me about the history of Senso-ji Temple, taking into account the selected character and the user's language setting."

[0692] This invention aims to provide personalized travel experiences to visitors worldwide, transcending language barriers. By utilizing generative AI, it becomes possible to deliver more natural and engaging information to users.

[0693] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0694] Step 1:

[0695] Users access the system using a mobile device or computer and enter questions about tourist destinations. Input can be in text or voice format. For example, a user might enter, "Tell me about Senso-ji Temple in Asakusa, Tokyo." The input data is formatted on the device and prepared for transmission to the server.

[0696] Step 2:

[0697] The terminal sends the input data received from the user to the server. Here, it performs the function of converting the text data into an appropriate format and transferring it over the network. This process provides the input data to the server.

[0698] Step 3:

[0699] The server analyzes the received user input data using natural language processing techniques. During this process, it recognizes keywords and intent within the input data and performs necessary data processing. Based on the analysis results, it generates prompts for the AI ​​model. These prompts may take the form of, "Please explain the history of Senso-ji Temple. Please consider the selected character and the user's language setting."

[0700] Step 4:

[0701] The server uses a generative AI model to generate digital guides and create responses based on user requests. Specifically, it constructs character dialogue based on prompts and generates multilingual information. The generated data is organized within the server and translated according to the user's language settings.

[0702] Step 5:

[0703] The server retrieves relevant tourist destination information from external sources. This includes communicating with external APIs to collect the latest tourist destination information. The retrieved information is documented based on user requests, and personalization is applied by a generative AI.

[0704] Step 6:

[0705] The server then sends the prepared data back to the terminal. Here, the data is ready to be responded to by the user, converted into a format that the terminal can receive, and sent.

[0706] Step 7:

[0707] The user receives a generated response on their device. Here, character-based guidance is provided in text format or as audio output. The user can review this, ask further questions, or use the information to plan their trip.

[0708] (Application Example 1)

[0709] 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".

[0710] Foreign tourists visiting Japan face language barriers when exploring tourist destinations, and they often struggle to understand deeper cultural and historical contexts beyond the limited information they receive during their trips. Furthermore, there is a growing need for methods that allow for virtual tourism experiences without requiring actual visits.

[0711] 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.

[0712] In this invention, the server includes means for analyzing user inquiries using natural language processing technology, means for designing a virtual guide using generative artificial intelligence, means for acquiring location information in multiple languages ​​and creating responses, and means for visually presenting the virtual guide through a visual assistance device. This allows users to overcome language barriers and virtually enjoy in-depth information about Japanese tourist destinations.

[0713] "Natural language processing technology" refers to the technology that enables computers to understand, analyze, and generate human language.

[0714] "Generative artificial intelligence" is a type of artificial intelligence that can generate new information or content from given data.

[0715] A "virtual guide" refers to a character that provides tourist information and other information in a virtual space.

[0716] "A means of acquiring location information in multiple languages ​​and creating answers" refers to a system that collects geographical information in different languages ​​and constructs answers based on that information.

[0717] "User terminal" refers to mobile devices or computers that users use to access services and information.

[0718] A "visual assistance device" is a device that allows users to visually view virtual information and characters superimposed on the real world.

[0719] The system that realizes this invention consists of a server and a user terminal working in conjunction. The server analyzes user inquiries using natural language processing technology and designs a virtual guide using generative artificial intelligence. Furthermore, it has the function to acquire location information in multiple languages ​​and generate answers. For this purpose, open-source natural language processing toolkits such as spaCy and OpenAI's GPT model as generative AI are utilized. These processes are performed in a cloud server environment, enabling rapid responses to user inquiries.

[0720] The user's terminal allows for real-time interaction with a virtual guide. By using smartphones or visual aids such as smart glasses, users can visually experience virtual information superimposed on the real world. Voice synthesis provides voice guidance in the selected language setting, offering users an immersive sightseeing experience. Visual aids using AR technology are recommended, as they can naturally display the virtual guide within the user's field of view.

[0721] For example, if a user asks, "Tell me about Kinkaku-ji Temple in Kyoto," the system will use that information to retrieve historical and cultural information about Kinkaku-ji Temple and provide it to the user in multiple languages. The following are examples of prompts used for the generative AI model in this process:

[0722] "The tourist destination the user wants to know about: Kinkaku-ji Temple in Kyoto. Please explain it to the user, including its history and cultural significance. The tour guide character should be intelligent and calm. Please use English for the audio."

[0723] This system enables flexible responses that meet user expectations, enriching the tourist experience for foreign visitors to Japan.

[0724] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0725] Step 1:

[0726] The server receives inquiries from the user's terminal. This input information is natural language text, and the server uses natural language processing technology (e.g., spaCy) to analyze the input text and extract relevant keywords. This allows the server to understand the user's intent and requests.

[0727] Step 2:

[0728] The server uses a generative AI model (e.g., OpenAI's GPT model) to create prompt messages for generating a virtual guide that meets the user's requests. Based on the analysis results received as input, it generates a character that matches the user's specified characteristics and language. These prompt messages are sent to the generative AI model, which outputs information about the character's personality and speaking style.

[0729] Step 3:

[0730] The server uses an external API to retrieve multilingual tourist destination information from a location database. This information consists of cultural and historical data related to the tourist destination the user is interested in. Based on the entered place name or location information, the API is called, relevant information is collected, and output in multiple languages.

[0731] Step 4:

[0732] The server translates the acquired tourist information into the user's selected language and generates a response. Using speech synthesis technology, the translated text is converted into audio data, preparing it for voice responses to the user. Google Cloud Text-to-Speech API, among others, is used for speech synthesis.

[0733] Step 5:

[0734] The user's terminal displays a virtual guide using a visual aid based on information received from the server. Here, AR technology is used to overlay the virtual guide onto the real world. The terminal plays generated audio guidance, enabling real-time interaction with the character.

[0735] 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.

[0736] This invention is a system that combines an emotion engine to provide foreign visitors to Japan with a deeper emotional experience when they understand Japanese culture and history. This system utilizes natural language processing technology and generative AI, and further uses an emotion engine to recognize the user's emotions, making the interaction with the virtual tour conductor more effective.

[0737] server:

[0738] The server receives information from the user and securely stores it in a database. It uses a generative AI to generate characters and runs an emotion engine that recognizes emotions from the text and voice input by the user. The emotion engine adjusts the responses and the character's tone based on the user's emotions.

[0739] Terminal:

[0740] On the device, an interface is displayed for the user and the virtual tour conductor to chat. The device sends the text and voice input from the user to the server, and the server displays responses and character expressions in real time according to the emotional state received from the server.

[0741] User:

[0742] Users access the system via mobile devices or PCs to receive real-time tourist information from virtual tour guides. Users can ask questions and share their thoughts using text or voice input, and the system generates appropriate responses based on the user's emotions.

[0743] Specific example:

[0744] For example, if a user asks about Fushimi Inari Taisha in Kyoto, "I wonder why there are so many torii gates," and then adds, "I love learning about history," the server will recognize positive emotions from this text. The emotion engine will prioritize providing detailed historical background information that will pique the user's interest, and the virtual tour conductor will explain in a more engaging tone. By enabling this kind of multifaceted communication, users can have a more emotionally resonant and memorable experience.

[0745] This invention enables foreign visitors to Japan to have emotionally connected experiences with Japanese tourist destinations and deepen their cultural understanding. Furthermore, it aims to equalize regional tourism demand and qualitatively improve the tourism experience.

[0746] The following describes the processing flow.

[0747] Step 1:

[0748] Users access a dedicated application or web platform using a mobile device or PC and log in. Here, they enter information about their favorite characters, desired translation languages, and tourist destinations they wish to visit.

[0749] Step 2:

[0750] The terminal sends the information entered by the user to the server. This information includes the selected character, language, and tourist destination.

[0751] Step 3:

[0752] The server receives user input information and securely stores it in a database. Using a generative AI, it generates a character selected by the user and prepares it to act as a virtual tour conductor.

[0753] Step 4:

[0754] The server retrieves information about tourist destinations from a database or external API, and organizes and translates that information if multilingual support is required.

[0755] Step 5:

[0756] The user's device displays an interface for chatting with a generated virtual tour conductor. The user can ask questions and make comments to the character via text or voice input.

[0757] Step 6:

[0758] User input is sent from the device to the server as text or audio. The server uses natural language processing technology to analyze questions and comments.

[0759] Step 7:

[0760] The server uses an emotion engine to recognize the user's emotional state from their input. It determines whether the user is expressing positive, negative, or neutral emotions.

[0761] Step 8:

[0762] Based on the user's emotional state, the server generates an appropriate response. For example, if the user is agitated, the server adjusts its response to provide more detailed and emotional information.

[0763] Step 9:

[0764] The server sends the generated response to the user's terminal, adjusts the virtual tour conductor's tone and facial expressions according to the user's emotional state, and displays them on the interface.

[0765] Step 10:

[0766] Users can receive real-time tourist information through their device's interface, enabling them to have an emotionally enriching travel experience.

[0767] (Example 2)

[0768] 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".

[0769] The current tourism information system has problems that make it difficult for users to obtain information based on their individual feelings and interests, resulting in lower satisfaction with the tourism experience. In addition, the lack of multilingual support limits the transmission of information and makes it difficult to meet the diverse needs of users. Furthermore, the lack of customization for characters that create a sense of familiarity with users makes it difficult to provide personalized tourism experiences.

[0770] 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.

[0771] In this invention, the server includes means for analyzing user questions using natural language processing technology, means for generating characters using generative artificial intelligence, and means for performing emotion analysis and adjusting responses and character tone based on the user's emotions. This makes it possible to provide personalized tourist information that is sensitive to the user's emotions. Furthermore, by providing information in multiple languages ​​and customizing characters according to user specifications, users can have a more familiar and fulfilling tourist experience.

[0772] "Natural language processing technology" is a technology that enables computers to analyze and understand human language, and is used to appropriately process user input.

[0773] "Generative artificial intelligence" is a type of artificial intelligence that has the ability to automatically generate digital characters and information according to the situation and needs.

[0774] A "character" refers to a digital personality or form of expression that serves the role of interacting with users and providing information.

[0775] "Emotion analysis" is a technology that infers a user's emotional state from their text or voice input and uses that information to generate responses and adjust interactions.

[0776] "Multilingual" refers to the ability to support different language groups and provide information in a language that suits the user's purpose.

[0777] An "interface" is a collection of screens and operating environments that allow users and systems to exchange information, and it plays a role in enabling communication with the server.

[0778] "Customization" refers to the process of individualizing a character's appearance, voice, and other characteristics according to the user's choices.

[0779] To implement this invention, the server, terminal, and user primarily fulfill their respective roles.

[0780] server:

[0781] The server is a high-performance computing machine located in the cloud, possessing the computing power necessary to run the generative AI model. First, the server receives text and voice data sent from the user through their terminal. This data is analyzed using natural language processing techniques to recognize the user's intentions and questions. Next, sentiment analysis is performed to evaluate the user's emotional state, and this information is fed back to the generative AI model. Based on this information, the generative AI model generates responses from the virtual tour conductor. In this process, the tone and facial expressions of the generated character are also adjusted according to the emotion.

[0782] Terminal:

[0783] The terminal functions as a user interface, providing a platform for users to interact with a virtual tour conductor. It sends user text or voice input to the server and receives responses and character information from the server. This information is then displayed or played aloud in an easily understandable format for the user. The terminal also includes a translation function, depending on the user's selected language.

[0784] User:

[0785] Users access the system using their mobile devices or computers. They input travel-related questions and comments via text or voice and receive results in real time. Through this interaction, users can access emotionally sensitive and personalized travel information, leading to a richer experience.

[0786] Specific example:

[0787] The user enters the prompt "Please tell me about famous temples in Kyoto. I'm very interested in history" into the device. The server receives this information and recognizes the user's high level of interest through sentiment analysis. As a result, the generative AI model prioritizes generating particularly detailed and interesting information and responds to the user through the device. This allows the user to obtain detailed and personalized information regarding their question.

[0788] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0789] Step 1:

[0790] The user initiates a connection with a virtual tour conductor using a mobile device or computer. The user inputs questions and comments about the tour via text or voice. This input data is sent to the device as prompt messages.

[0791] Step 2:

[0792] The terminal receives input data (text or voice) from the user and sends it to the server. The input data is converted into a digital format in its original form and prepared for processing by the server.

[0793] Step 3:

[0794] The server receives data sent from the terminal. First, it analyzes the text data using natural language processing to understand the user's intent and questions. The input here is the user's text or voice data, and the output is the user's intent and questions as a result of the analysis.

[0795] Step 4:

[0796] The server then performs sentiment analysis. Text analysis techniques are applied to extract emotional elements from the user's input. In this process, the user's text and voice data are used as input, and the user's emotional state is obtained as output. The analysis results are temporarily stored in a database.

[0797] Step 5:

[0798] The server uses a generative AI model to generate responses from the virtual tour conductor. Here, the generative AI model is operated using the prompt text and the resulting emotional state as input data, adjusting the response and character tone to match the user's emotions.

[0799] Step 6:

[0800] The generated response data is sent from the server to the terminal. This data includes the generated text response, voice, and character facial expression information. The terminal then converts it into a format suitable for display and audio playback.

[0801] Step 7:

[0802] The terminal displays response data received from the server to the user. The user interacts with the virtual tour conductor through real-time displayed text, audio, and character expressions. This final output allows the user to enjoy emotionally resonant tourism information.

[0803] (Application Example 2)

[0804] 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".

[0805] Existing tourist information systems make it difficult for foreign tourists to emotionally connect with the culture and history of their destinations, resulting in insufficient cultural understanding. Furthermore, the style of introducing tourist spots and related products is uniform, lacking sufficient personalization to meet the individual interests and emotions of users. Therefore, a system is needed that recognizes users' emotions in real time and flexibly adjusts information and product recommendations based on those emotions.

[0806] 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.

[0807] In this invention, the server includes means for analyzing information using natural language processing technology, means for generating a virtual tour guide using generative artificial intelligence, and means for recognizing the user's emotions using an emotion analysis engine and adjusting the response and the guide's tone based on those emotions. This allows the user to receive flexible guidance and introductions that are tailored to their own emotions.

[0808] "Natural language processing technology" is a technology that analyzes text and voice input from users to understand their meaning and intent.

[0809] "Generative artificial intelligence" is a technology that generates virtual characters and responses based on given information.

[0810] A "virtual tour guide" is a virtual character that provides users with information about tourist destinations and cultural sites.

[0811] A "sentiment analysis engine" is an engine that identifies emotions from a user's text or voice and adjusts the optimal content delivery method based on the results.

[0812] "Personalization" refers to customizing the appearance and voice of content and characters according to the user's preferences and choices.

[0813] "Flexible guidance" refers to guidance that has the ability to adapt by changing the content and tone of the guidance based on the user's emotions and interests.

[0814] The system of the present invention operates primarily with a server, terminals, and users.

[0815] The server uses natural language processing technology to analyze text or voice data sent by the user to understand the user's questions and requests. The analyzed data is processed by an emotion analysis engine to identify the user's emotional state. The emotion_ai_sdk is used as the emotion analysis engine. Based on the emotional state, a virtual tour guide is generated using generative artificial intelligence, and this guide is created in real time using AI generation technology. The generated guide provides information to the user with appropriate tone and facial expressions.

[0816] The terminal displays a user interface through which the user can interact with the system. The user inputs information into the system using text or voice, and receives guidance on specific tourist destinations or cultural information. The terminal also receives responses from the server, which are then presented to the user visually or audibly.

[0817] Users access the system using a mobile device or PC. By selecting a tourist destination and querying information of interest, the system generates emotion-based, personalized guidance.

[0818] For example, if a user types "I want to learn more about the traditional cuisine of this region" on their smartphone, the system recognizes this sentiment as interesting. The system generates detailed information, including background and history, and a virtual tour guide presents it to the user in an engaging way. An example of a prompt would be, "Please provide a conversational style to positively explain the origins and cultural significance of local cuisine to a user interested in it."

[0819] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0820] Step 1:

[0821] Users access the terminal via smartphone or PC and input the information they want as text or voice input. The input data is converted into a digital format on the terminal and sent to the server.

[0822] Step 2:

[0823] The server analyzes the received text or audio data using natural language processing techniques. It structures the input information through syntax analysis to understand the user's questions and interests. The analysis results are output as data to identify the content and intent of the questions.

[0824] Step 3:

[0825] The server evaluates the data using an emotion analysis engine based on the analysis results. It uses emotion_ai_sdk to determine the user's emotional state and selects the optimal response strategy accordingly. The analysis results and emotional information are integrated and output as data for further processing.

[0826] Step 4:

[0827] The server generates a virtual tour guide using generative AI. The generative AI model creates a guide in a specific tone and style based on the user's questions and emotional state. Specific generation prompts are given to instruct the system to generate a guide based on the user's requests. The generated guide is output as data.

[0828] Step 5:

[0829] The guidance data generated from the server is returned to the terminal. The terminal displays or plays the data as audio in a format that the user can understand. This allows the user to receive information in an emotionally relatable way.

[0830] Step 6:

[0831] The user reviews the provided instructions and enters any additional questions or feedback into the device as needed. Subsequent interactions are conducted by repeating the process from steps 1 to 5.

[0832] 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.

[0833] 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.

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] 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."

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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.

[0852] 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.

[0853] The following is further disclosed regarding the embodiments described above.

[0854] (Claim 1)

[0855] A means of analyzing user questions using natural language processing technology,

[0856] A means of generating a virtual tour conductor using generative artificial intelligence,

[0857] A means of obtaining tourist destination information in multiple languages ​​and generating responses,

[0858] A means of providing a real-time interface to the user terminal and enabling interaction with the user,

[0859] A system that includes this.

[0860] (Claim 2)

[0861] The system according to claim 1, further comprising means for translating acquired tourist destination information in accordance with the language selected by the user.

[0862] (Claim 3)

[0863] The system according to claim 1, further comprising means for personalizing the appearance and voice based on a character specified by the user.

[0864] "Example 1"

[0865] (Claim 1)

[0866] A device that analyzes user questions using natural language processing technology,

[0867] A device that generates digital guides using generational AI,

[0868] A device that acquires location information in multiple languages ​​and generates a response,

[0869] A device that provides an operation screen to the user's device immediately, enabling interaction with the user,

[0870] A device that acquires relevant information from external sources based on the analysis results,

[0871] A device that translates acquired information into the language of the user and provides it,

[0872] A device that applies individualized visual and audio settings to a digital guide according to the user's preferences,

[0873] A system that includes this.

[0874] (Claim 2)

[0875] The system according to claim 1, characterized by analyzing user input information and providing information selected based on the results.

[0876] (Claim 3)

[0877] The system according to claim 1, which identifies a user's interests regarding location information and appropriately selects and provides information that matches those interests.

[0878] "Application Example 1"

[0879] (Claim 1)

[0880] A means of analyzing user inquiries using natural language processing technology,

[0881] A means of designing a virtual guide using generative artificial intelligence,

[0882] A means of obtaining location information in multiple languages ​​and generating responses,

[0883] A means of providing real-time information display on user terminals and enabling interaction with users,

[0884] A means of visually presenting a virtual guide through a visual assistance device,

[0885] A system that includes this.

[0886] (Claim 2)

[0887] The system according to claim 1, further comprising means for translating acquired location information based on a language selected by the user.

[0888] (Claim 3)

[0889] The system according to claim 1, further comprising means for individualizing the appearance and voice based on a character specified by the user.

[0890] "Example 2 of combining an emotion engine"

[0891] (Claim 1)

[0892] A means of analyzing user questions using natural language processing technology,

[0893] A means of generating characters using generative artificial intelligence,

[0894] A means for performing emotion analysis and adjusting responses and character tone based on the user's emotions,

[0895] A means of obtaining local information in multiple languages ​​and generating responses,

[0896] A means of providing a real-time interface to the user terminal and enabling interaction with the user,

[0897] A system that includes this.

[0898] (Claim 2)

[0899] The system according to claim 1, further comprising means for translating acquired regional information into a language selected by the user.

[0900] (Claim 3)

[0901] The system according to claim 1, further comprising means for customizing appearance and voice based on user-specified characteristics.

[0902] "Application example 2 when combining with an emotional engine"

[0903] (Claim 1)

[0904] A means of analyzing information using natural language processing technology,

[0905] A means of generating a virtual tour guide using generative artificial intelligence,

[0906] A means of obtaining geographical information in multiple languages ​​and generating responses,

[0907] A means of providing a real-time user interface to the user's terminal and enabling interaction with the user,

[0908] A means of recognizing the user's emotions using an emotion analysis engine and adjusting the response and the tone of the guide based on that,

[0909] A means of changing the style of introducing products and cultural information based on user emotions,

[0910] A system that includes this.

[0911] (Claim 2)

[0912] The system according to claim 1, further comprising means for translating acquired geographical information according to a language selected by the user.

[0913] (Claim 3)

[0914] The system according to claim 1, further comprising means for personalizing the appearance and voice based on a guide designated by the user. [Explanation of Symbols]

[0915] 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

1. A means of analyzing user questions using natural language processing technology, A means of generating a virtual tour conductor using generative artificial intelligence, A means of obtaining tourist destination information in multiple languages ​​and generating responses, A means of providing a real-time interface to the user terminal and enabling interaction with the user, A system that includes this.

2. The system according to claim 1, further comprising means for translating acquired tourist destination information in accordance with the language selected by the user.

3. The system according to claim 1, further comprising means for personalizing the appearance and voice based on a character specified by the user.

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