System

Abstract

A system is provided.SOLUTION: A system comprising: means for providing a virtual tour; means for holding a digital exhibition; means for conducting an online workshop; means for sharing digital content of cultural properties; and means for interacting using a generative AI model.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In modern times, cultural disparities arise due to regional, environmental, and economic reasons. In particular, people living in rural areas and those with limited financial means have limited opportunities to come into contact with cultural assets and traditional culture. Furthermore, there is a lack of traditional cultural inheritors, making it difficult to pass on culture. Furthermore, there are limited means to promote Japan's rich culture overseas. The purpose of this invention is to utilize generative AI models to solve these issues and promote the dissemination of cultural assets, the inheritance of traditional culture, and the international dissemination of Japanese culture. [Means for solving the problem]

[0005] The present invention provides a system comprising:

[0006] 1. A means of providing virtual tours: Providing virtual tours that allow visitors to explore cultural properties as a realistic experience, and allowing them to ask questions and interact with instructors and participants through generative AI models.

[0007] 2. A means of hosting digital exhibitions: Precious cultural assets are made available as digital collections, and storytelling is provided through generative AI models.

[0008] 3. A means of conducting online workshops: Hosting online workshops on traditional Japanese crafts, providing participants with a place to learn and experience, and using generative AI models to facilitate question-and-answer sessions and dialogue.

[0009] 4. A means of sharing digital content of cultural assets: Create a platform for sharing digital content of cultural assets in various formats, such as video and text, and provide a community space using generative AI models.

[0010] 5. Interactive methods using generative AI models: This includes methods for answering user questions in real time during virtual tours and online workshops. This system will provide opportunities to experience cultural assets and traditional culture beyond regional and economic constraints, thereby narrowing cultural gaps, resolving the lack of traditional cultural inheritors, and promoting the international dissemination of Japanese culture.

[0011] A "virtual tour" is a means of providing a learning experience that uses a generative AI model to allow users to virtually explore actual cultural properties via the internet and interact with instructors and the generative AI model.

[0012] A "digital exhibition" is an online event that displays precious cultural assets and artworks in digital format, providing deeper understanding and knowledge through storytelling powered by generative AI models.

[0013] An "online workshop" is a learning program delivered over the internet, where participants can learn skills and knowledge by asking questions and engaging in dialogue in real time using generative AI models.

[0014] "Digital content of cultural assets" refers to content that digitizes information about cultural assets in a variety of formats, such as video, images, and text, and shares it online.

[0015] A "generative AI model" is a type of artificial intelligence that can learn from large amounts of data and engage in natural conversations and provide information.

[0016] "Dialogue means" is a function that uses a generative AI model to respond to questions and comments from users in real time, enabling interactive communication. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0018] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0021] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0022] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0023] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 1, a 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.

[0028] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0030] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0031] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0035] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0037] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0038] overview

[0039] This invention is a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties. This will provide opportunities to experience cultural properties and traditional culture beyond regional and economic constraints, narrowing cultural gaps, resolving the lack of traditional cultural inheritors, and promoting the international dissemination of Japanese culture.

[0040] Providing virtual tours

[0041] The server uses the generative AI model to generate a virtual tour that the user can access. When a user sends a request to join a virtual tour from their device, the server receives the request and provides the user with a link to the virtual tour. When the user clicks the link, they can join the virtual tour and interact with the generative AI model. As a specific example, a user selects a virtual tour of the Great Buddha of Nara, and their device sends a request to the server, obtains the tour link, and joins.

[0042] Holding a digital exhibition

[0043] The server prepares high-resolution images and 3D models of cultural assets and creates content incorporating storytelling using generative AI models. When users access an exhibition, they can enjoy detailed explanations and interactive experiences on their devices. For example, a user can access a digital exhibition of ukiyo-e prints, and their device can retrieve and display the exhibition's digital content from the server.

[0044] Online workshops

[0045] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, users can interact with the generative AI model in real time to deepen their learning. For example, a user can register for an online tea ceremony workshop and participate at a specified date and time.

[0046] Sharing digital content of cultural assets

[0047] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using the generative AI model. Specifically, when a user accesses the National Treasure Museum's digital collection and enters a comment about a specific cultural property, the generative AI model displays related information and comments from other users.

[0048] Program processing overview

[0049] The server receives requests from users and provides cultural property data and dialogue data from the generative AI model. The device renders the provided data and provides an interactive interface to the user. Through each service, users can interact with the generative AI model and learn about cultural properties and traditional culture in real time.

[0050] This system will transcend regional and economic constraints, expanding opportunities for many people to come into contact with cultural assets and traditional culture, narrowing cultural gaps, and promoting the preservation and international dissemination of Japanese culture.

[0051] The processing flow will be explained below.

[0052] Providing virtual tours

[0053] Step 1:

[0054] A user selects a virtual tour of interest on a website.

[0055] Step 2:

[0056] The terminal sends a request for the selected virtual tour to the server.

[0057] Step 3:

[0058] The server receives the request and generates the corresponding data for the virtual tour (3D model, video, audio, AI dialogue model).

[0059] Step 4:

[0060] The server sends a link to the generated data back to the device.

[0061] Step 5:

[0062] The user clicks on the link they receive and takes part in the virtual tour.

[0063] Step 6:

[0064] The device renders the data for the virtual tour and displays the interface.

[0065] Step 7:

[0066] Users can type in questions during the tour and a generative AI model will provide answers in real time.

[0067] Holding a digital exhibition

[0068] Step 1:

[0069] The server prepares the high-definition images and 3D models needed for the digital exhibition, as well as generative AI models for storytelling.

[0070] Step 2:

[0071] A user visits a digital exhibition link.

[0072] Step 3:

[0073] The terminal sends the corresponding request to the server.

[0074] Step 4:

[0075] The server transmits the exhibition data to the terminal in response to the request.

[0076] Step 5:

[0077] The terminal displays the data and provides the user with an interface that allows for an interactive experience.

[0078] Step 6:

[0079] As users browse exhibits and click on details, the generative AI model provides storytelling information.

[0080] Online workshops

[0081] Step 1:

[0082] A user visits the online workshop page and fills in the required information in the registration form.

[0083] Step 2:

[0084] The terminal transmits the user's registration information to the server.

[0085] Step 3:

[0086] The server prepares links and generative AI models for online workshops based on registration information and manages schedule information.

[0087] Step 4:

[0088] The server sends a registration completion notification and a participation link to the device.

[0089] Step 5:

[0090] The user clicks on the link at the designated date and time to join the online workshop.

[0091] Step 6:

[0092] The device provides an interactive interface between the video stream and the generative AI model.

[0093] Step 7:

[0094] Users enter questions during the workshop and the generative AI model provides answers in real time.

[0095] Sharing digital content of cultural assets

[0096] Step 1:

[0097] The server collects and manages digital content such as videos and texts related to cultural assets.

[0098] Step 2:

[0099] The server provides a platform for sharing digital content.

[0100] Step 3:

[0101] A user accesses the platform and selects the cultural property content of interest.

[0102] Step 4:

[0103] The terminal sends the user's request to the server.

[0104] Step 5:

[0105] The server transmits the corresponding digital content to the terminal.

[0106] Step 6:

[0107] The terminal displays the data and allows the user to have an interactive experience.

[0108] Step 7:

[0109] When a user enters a comment about content, the generative AI model displays related information and comments from other users.

[0110] Example 1

[0111] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0112] Due to regional and economic constraints, many people have limited opportunities to come into contact with cultural assets and traditional culture. Furthermore, conventional digital content delivery systems make it difficult to provide interactive experiences that deepen learning through dialogue with users. It is necessary to resolve these issues and promote the preservation and international dissemination of Japanese culture.

[0113] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0114] In this invention, the server includes means for accepting requests from users, means for analyzing request data, means for calling a corresponding generative AI model, means for generating content, means for providing the generated content to the user, means for rendering an interactive interface on the terminal, means for the user to interact with the generative AI model, and means for collecting feedback, thereby enabling the user to interact with the generative AI model in real time and learn more about cultural assets and traditional culture.

[0115] "Users" are people who use this system to obtain information about cultural assets and traditional culture and experience the service.

[0116] A "server" is a device or system that receives and processes requests from users, generates content using generative AI models, and provides it to users.

[0117] A "Request" is a request made by a User to use a Service, such as a virtual tour, digital exhibition, or online workshop.

[0118] "Request data" refers to data containing the content of a request sent by a user.

[0119] A "generative AI model" is a model that uses artificial intelligence technology to generate content and interact with users.

[0120] "Content" refers to the digital information generated by the generative AI model for virtual tours, digital exhibitions, and online workshops.

[0121] An "interactive interface" is an operating screen that allows users to deepen their learning by interacting with the system in real time.

[0122] "Feedback" refers to information such as impressions and opinions provided by users after using a service.

[0123] MODE FOR CARRYING OUT THE INVENTION

[0124] overview

[0125] This invention is a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, online workshops, and to share digital content of cultural properties. This system provides opportunities to experience cultural properties and traditional culture beyond regional and economic constraints.

[0126] Hardware and software used

[0127] The system uses the following hardware and software:

[0128] Server: Accepts requests, analyzes data, calls generative AI models, and generates and provides content. The hardware used can be a general server device. Python is used for the software, and Flask is used as the web framework.

[0129] Device: Serves as the user interface, rendering received content and interacting with the user. Devices include PCs, smartphones, tablets, etc. It uses a web browser and JavaScript library (e.g., Three.js).

[0130] Generative AI model: Generates cultural property information and interacts with users. Uses TensorFlow or PyTorch as a deep learning model.

[0131] Program processing

[0132] The server analyzes the user's request and calls the generative AI model to generate the required content. Specifically, the user enters a text prompt, and the generative AI model generates the content of a virtual tour, digital exhibition, or online workshop in real time. The generated content is sent from the server to the device and rendered on the device.

[0133] Specific examples

[0134] Providing virtual tours

[0135] The server uses the generative AI model to generate a virtual tour that the user can access. For example, if a user enters a prompt such as "I would like to start a virtual tour of the Great Buddha of Nara," the server analyzes the request and invokes the generative AI model to generate a virtual tour based on information about the Great Buddha of Nara. The server then provides the user with a link to the generated tour, and when the user clicks the link, the virtual tour is rendered on the device.

[0136] Holding a digital exhibition

[0137] The server uses high-resolution images and 3D models to create digital exhibition content incorporating storytelling using generative AI models. For example, if a user requests, "I would like to enter a digital exhibition of ukiyo-e," the server analyzes the request, creates digital content related to ukiyo-e using generative AI models, and sends it to the device. Users can then enjoy the interactive exhibition on their devices.

[0138] Online workshops

[0139] The server manages the schedule and content of the workshop and provides a mechanism for question-answering and dialogue using a generative AI model. For example, if a user requests to "participate in an online tea ceremony workshop" and participates at the specified date and time, the server will use the generative AI model to respond to questions from the user in real time and engage in dialogue.

[0140] summary

[0141] This system provides a new experience where users can learn about cultural assets and traditional culture in real time while interacting with a generative AI model. By combining a server, terminal, and generative AI model, it becomes possible to provide digital content that transcends regional and economic constraints.

[0142] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0143] Step 1:

[0144] A user uses a terminal to make a request to participate in a specific service (a virtual tour, a digital exhibition, an online workshop). For example, the user inputs a prompt statement such as "I would like to start a virtual tour of the Great Buddha of Nara" and submits the request. This input prompt statement is sent to the server.

[0145] Step 2:

[0146] The server receives the request data from the user and analyzes it. Specifically, it receives the request content in JSON format and extracts the request type (virtual tour, digital exhibition, online workshop) and subject (e.g., the Great Buddha of Nara). This analysis identifies the generative AI model and data required for the next step.

[0147] Step 3:

[0148] The server calls the corresponding generative AI model based on the analysis results. It loads the generative AI model using TensorFlow, PyTorch, or other tools in a Python environment and provides the request data as input to the model. This data calculation generates the initial content to be provided to the user. For example, related information and a 3D model for a "virtual tour of the Great Buddha of Nara" are generated.

[0149] Step 4:

[0150] The server further processes the generated content using the generative AI model. Specifically, it combines the generated 3D models, high-resolution images, and storytelling to create digital content for users. This processed data is then converted into a format that can be delivered to users.

[0151] Step 5:

[0152] The server then sends the completed digital content to the user's device. Specifically, it creates a URL link for the generated content and returns a response containing that link to the user. This allows the user to access a virtual tour or similar content simply by clicking the link on their device.

[0153] Step 6:

[0154] The device then renders the digital content received from the server, using HTML5, JavaScript (e.g., Three.js), and CSS to display the 3D model and explanatory content on the screen in real time, allowing users to enjoy the visual experience of the virtual tour.

[0155] Step 7:

[0156] The user interacts with the generative AI model through an interactive interface on their device. For example, if the user inputs a question such as "Why was this Great Buddha built?", the question is sent to the server. The server then calls the generative AI model again, generates an answer to the user's question, and returns it to the device. This allows the user to deepen their learning interactively.

[0157] Step 8:

[0158] The server collects user feedback and interaction data, such as the content of the user's questions, viewing time, and ratings of the answers provided, and stores this data in a database. This data is used to improve the system and develop new content.

[0159] (Application example 1)

[0160] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0161] It is desirable to eliminate the current situation where opportunities to experience cultural assets and traditional culture are limited due to regional and economic constraints, and to narrow the cultural gap. Furthermore, conventional methods of providing digital content lack real-time dialogue and interactive experiences, and there is a need to improve user satisfaction. Therefore, a more effective digital content sharing system is needed to promote Japanese culture internationally and resolve the lack of successors of traditional culture.

[0162] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0163] In this invention, the server includes means for providing a virtual tour, means for holding a digital exhibition, means for conducting an online workshop, means for operating on a smartphone, means for providing an interactive interface, and means for interacting using a generative AI model, thereby enabling a user to learn about cultural assets and traditional culture while interacting with the generative AI model in real time via their smartphone.

[0164] A "virtual tour" is a service that allows you to view cultural assets and tourist attractions in a virtual space.

[0165] A "digital exhibition" is an event in which exhibits based on a specific theme are made available online using digital content.

[0166] An "online workshop" is an educational session or course conducted in real time over the Internet.

[0167] "Digital content of cultural assets" refers to digital data such as high-resolution images, 3D models, videos, and documents related to cultural assets.

[0168] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to answer user questions in real time.

[0169] An "interaction means" is a system that enables two-way communication between the user and the generative AI model.

[0170] "Means operating on a smartphone" refers to a method or process that functions as a smartphone application.

[0171] An "interactive interface" is a user interface that allows the user to directly operate the interface and receive feedback in real time.

[0172] overview

[0173] This invention is a system that uses generative AI models to provide virtual tours, digital exhibitions, and online workshops of cultural assets and traditional culture. This system runs on smartphones and can provide information and dialogue to users in real time through an interactive interface.

[0174] System Configuration

[0175] Hardware and Software Use

[0176] Server: Used to manage digital content and run dialogue systems using generative AI models. Primarily uses web application frameworks such as Flask.

[0177] Device: This refers to the smartphone (iPhone or Android device) used by the user. The service is accessed through a browser or a dedicated app.

[0178] Generative AI model: Using OpenAI's GPT-3 and other models, answers user questions in real time.

[0179] Feature details

[0180] Virtual Tour

[0181] The server receives a request from the user to start a virtual tour and provides a tour link in cooperation with the generative AI model. When the user clicks the tour link on their smartphone, an interactive interface is displayed, with the generative AI model acting as a guide in real time.

[0182] For example, a user can start a tour with a prompt such as "Please tell me about the Great Buddha of Nara."

[0183] Digital Exhibition

[0184] The server manages the content for the digital exhibition (high-definition images and 3D models) and provides detailed explanations when accessed by users. The generative AI model provides additional information in response to user questions.

[0185] For example, you can use prompts such as, "Tell me about the history of ukiyo-e and its representative works."

[0186] Online Workshop

[0187] The server manages the schedule and content of the online workshops and provides links for users to join, allowing them to interact with the generative AI model in real time and deepen their learning.

[0188] For example, you can join a workshop with a prompt such as, "Please tell me the overview of the online tea ceremony workshop and the procedure for participating."

[0189] Program processing overview

[0190] The server uses a web application framework such as Flask to receive requests from users. The generative AI model (OpenAI GPT-3) answers the user's questions according to prompts and provides the results to the user's smartphone via the server. This allows the user to enjoy an interactive experience on their smartphone.

[0191] Examples and prompts

[0192] Virtual Tour: "Please explain the Great Buddha of Nara"

[0193] Digital Exhibition: "Please tell us about the history of ukiyo-e and its representative works."

[0194] Online Workshop: "Please tell me the outline of the online tea ceremony workshop and how to participate."

[0195] By entering these prompts, users can obtain real-time commentary from the generative AI model, enabling a broader and deeper understanding of the appeal of cultural assets and traditional culture.

[0196] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0197] Step 1:

[0198] User submits a request

[0199] Users submit requests for virtual tours, digital exhibitions, or online workshops through a smartphone application, including specific prompts for the tour, exhibition, or workshop they want to participate in. For example, a user might enter a prompt such as, "Please explain the Great Buddha of Nara."

[0200] Step 2:

[0201] The device sends a request to the server

[0202] The device (smartphone) sends a request from the user to the server. The data sent includes the prompt text entered by the user and user information. This data is then processed appropriately on the server side and prepared to be passed to the generative AI model.

[0203] Step 3:

[0204] The server sends prompts to the generative AI model

[0205] The server analyzes the received user request and sends the prompt text to the generative AI model. This operation causes the generative AI model to process and calculate data based on the prompt text and generate an answer. Specifically, the server inputs the prompt text using OpenAI's GPT-3 API and receives the generated text.

[0206] Step 4:

[0207] Generative AI models generate answers

[0208] A generative AI model (e.g., OpenAI GPT-3) uses natural language processing to generate an appropriate response based on the prompt it receives. In this step, the algorithm in the model references a large amount of training data to construct an answer. The output is a detailed text response to the user's request.

[0209] Step 5:

[0210] The server sends the answer to the device

[0211] The server receives the answer from the generative AI model and sends it to the user's device. This operation is performed by converting it into a data format (e.g., JSON format) for display on the front end. The output answer text from the generative AI model is sent to the device.

[0212] Step 6:

[0213] The device renders the answer

[0214] The device analyzes the data received from the server and displays it as an interactive interface for the user. Specifically, generated text and images are displayed on the smartphone screen for the user to read.

[0215] Step 7:

[0216] Interactive user experience

[0217] The user experiences the virtual tour, digital exhibition, or online workshop based on the information displayed on the device. If the user has additional questions, they can enter the prompt again to issue a new request. The process is repeated from step 1.

[0218] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0219] overview

[0220] This invention combines a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties, with an emotion engine that recognizes user emotions, further enriching the user experience and enabling interactions and services tailored to individual needs.

[0221] Providing virtual tours

[0222] The server uses the generative AI model and emotion engine to generate a virtual tour that the user can access. When a user sends a request to join a virtual tour from their device, the server receives the request and provides the user with a link to the virtual tour. When the user clicks the link, they can join the virtual tour and interact with the generative AI model. As a specific example, if a user selects a virtual tour of the Great Buddha of Nara, their device sends a request to the server, obtains the tour link, and joins. During the tour, the user's emotions are recognized by the emotion engine, and the generative AI model adjusts the dialogue based on the results.

[0223] Holding a digital exhibition

[0224] The server prepares high-resolution images and 3D models of cultural assets and creates content incorporating a generative AI model and emotion engine. When users access an exhibition, they can enjoy detailed explanations and an interactive experience on their device. For example, a user can access a digital exhibition of ukiyo-e prints, and their device can retrieve and display the exhibition's digital content from the server. As users view the exhibits, the generative AI model provides storytelling, while the emotion engine recognizes the user's reactions and adjusts the explanation and response as needed.

[0225] Online workshops

[0226] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, users can interact with the generative AI model in real time to deepen their learning. For example, a user registers for an online tea ceremony workshop and participates at a specified date and time. The generative AI model provides detailed explanations, and the emotion engine recognizes the user's emotions and adjusts the tone and content of the dialogue.

[0227] Sharing digital content of cultural assets

[0228] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using a generative AI model and emotion engine. For example, when a user accesses the digital collection of the National Museum of National Treasures and enters a comment about a specific cultural property, the generative AI model displays related information and comments from other users. The emotion engine recognizes the user's emotions and adjusts the displayed content and comment feedback.

[0229] Program processing overview

[0230] The server receives requests from users and provides cultural property data and dialogue data generated by the generative AI model and emotion engine. The device renders the provided data and provides an interactive interface to the user. Through each service, users can interact with the generative AI model and emotion engine and learn about cultural properties and traditional culture in real time. The emotion engine recognizes the user's emotional state and adjusts the experience based on the results.

[0231] This system will transcend regional and economic constraints, expanding opportunities for many people to come into contact with cultural assets and traditional culture, narrowing cultural gaps and promoting the preservation and international dissemination of Japanese culture.The combination of an emotion engine will make the user experience more personalized and increase satisfaction.

[0232] The processing flow will be explained below.

[0233] Providing virtual tours

[0234] Step 1:

[0235] A user selects a virtual tour of interest on a website.

[0236] Step 2:

[0237] The terminal sends a request for the selected virtual tour to the server.

[0238] Step 3:

[0239] The server receives the request and generates the corresponding data for the virtual tour (3D model, video, audio, AI dialogue model).

[0240] Step 4:

[0241] The server sends a link to the generated data back to the device.

[0242] Step 5:

[0243] The user clicks on the link they receive and takes part in the virtual tour.

[0244] Step 6:

[0245] The device renders the data for the virtual tour and displays the interface.

[0246] Step 7:

[0247] Users can enter questions during the tour, and a generative AI model provides answers in real time, while an emotion engine analyzes the user's facial expressions and tone to recognize their emotional state.

[0248] Step 8:

[0249] The server adjusts the dialogue content of the generative AI model based on the results of the emotion engine, changing the tone and content as needed.

[0250] Holding a digital exhibition

[0251] Step 1:

[0252] The server prepares the high-definition images and 3D models needed for the digital exhibition, as well as generative AI models for storytelling.

[0253] Step 2:

[0254] A user visits a digital exhibition link.

[0255] Step 3:

[0256] The terminal sends the corresponding request to the server.

[0257] Step 4:

[0258] The server transmits the exhibition data to the terminal in response to the request.

[0259] Step 5:

[0260] The terminal displays the data and provides the user with an interface that allows for an interactive experience.

[0261] Step 6:

[0262] When users browse exhibits and click on details, the generative AI model provides storytelling information, while the emotion engine recognizes users' reactions and sends that information to the server.

[0263] Step 7:

[0264] Based on the results of the emotion engine, the server adjusts the dialogue content of the generative AI model and changes the explanations and responses.

[0265] Online workshops

[0266] Step 1:

[0267] A user visits the online workshop page and fills in the required information in the registration form.

[0268] Step 2:

[0269] The terminal transmits the user's registration information to the server.

[0270] Step 3:

[0271] The server prepares links and generative AI models for online workshops based on registration information and manages schedule information.

[0272] Step 4:

[0273] The server sends a registration completion notification and a participation link to the device.

[0274] Step 5:

[0275] The user clicks on the link at the designated date and time to join the online workshop.

[0276] Step 6:

[0277] The device provides an interactive interface between the video stream and the generative AI model.

[0278] Step 7:

[0279] Users can input questions during the workshop, and the generative AI model will provide answers in real time. The emotion engine will analyze the user's facial expressions and tone to recognize their emotional state.

[0280] Step 8:

[0281] The server adjusts the dialogue content of the generative AI model based on the results of the emotion engine, changing the tone and content as needed.

[0282] Sharing digital content of cultural assets

[0283] Step 1:

[0284] The server collects and manages digital content such as videos and texts related to cultural assets.

[0285] Step 2:

[0286] The server provides a platform for sharing digital content.

[0287] Step 3:

[0288] A user accesses the platform and selects the cultural property content of interest.

[0289] Step 4:

[0290] The terminal sends the user's request to the server.

[0291] Step 5:

[0292] The server transmits the corresponding digital content to the terminal.

[0293] Step 6:

[0294] The terminal displays the data and allows the user to have an interactive experience.

[0295] Step 7:

[0296] When users comment on content, a generative AI model displays related information and comments from other users. An emotion engine recognizes the user's emotions and adjusts the content and comment feedback accordingly.

[0297] Step 8:

[0298] Based on the results of the emotion engine, the server updates the dialogue content of the generative AI model and provides appropriate information and feedback to the user.

[0299] Example 2

[0300] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0301] In modern society, opportunities to come into contact with cultural assets and traditional culture are limited due to regional and economic constraints, preventing many people from fully enjoying their value. Furthermore, traditional digital content has difficulty responding to individual user emotions, limiting the satisfaction and depth of the experience. Therefore, there is a need for methods to provide more interactive and personalized experiences and expand access to cultural assets and traditional culture.

[0302] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0303] In this invention, the server includes a means for transmitting a request for a user to participate in a virtual tour, a means for the server to generate a virtual tour using a generative AI model, and a means for the server to recognize the user's emotions using an emotion engine and adjust the dialogue based on the results. This expands opportunities for many people to experience cultural assets and traditional culture beyond regional and economic constraints, and further makes it possible to provide a customized interactive experience according to the user's emotions.

[0304] "User" means any individual or organization that uses the System to participate in a virtual tour, digital exhibition, or online workshop.

[0305] A "server" is a computer system that receives requests from users and generates and provides digital content using generative AI models and emotion engines.

[0306] A "virtual tour" is a service that allows users to access and virtually tour cultural properties and tourist attractions from a remote location through digital content.

[0307] A "generative AI model" is an artificial intelligence model that uses natural language processing and machine learning to interact with users and generate digital content.

[0308] An "emotion engine" is software or hardware that recognizes emotions from data such as a user's facial expressions, voice, and text, and adjusts the system's response based on the results.

[0309] A "digital exhibition" is an event where users can view cultural assets and artworks online using digital content such as high-definition images and three-dimensional models.

[0310] "Online Workshops" are online seminars and training sessions that allow users to deepen their learning in real time using generative AI models and emotion engines.

[0311] "Digital content" is information stored in digital form and shared online, such as video, images, text, and 3D models.

[0312] A "terminal" is an electronic device such as a computer, tablet, or smartphone that allows a user to access the system and view digital content.

[0313] "Link" means a URL or other means by which a user accesses a virtual tour, digital exhibition, or online workshop, or is a gateway to the digital content being accessed.

[0314] This invention uses a system that combines a generative AI model and an emotion engine to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties. Furthermore, by incorporating a function that recognizes user emotions and customizes the experience individually, it achieves a more interactive and satisfying experience.

[0315] overview

[0316] The system provides the following main functions:

[0317] 1. Providing virtual tours

[0318] 2. Hosting a digital exhibition

[0319] 3. Conducting online workshops

[0320] 4. Sharing digital content of cultural assets

[0321] Hardware and software used

[0322] Server: A server computer that processes requests, runs generative AI models, controls the emotion engine, and delivers digital content.

[0323] Device: The electronic device used by a user, such as a computer, tablet, or smartphone.

[0324] Generative AI models: Machine learning models that perform natural language processing (e.g., GPT-4).

[0325] Emotion engine: Software that recognizes a user's emotions and generates an appropriate response (e.g., an emotion recognition API).

[0326] Digital content: Digital data such as high-definition images, 3D models, videos, and text.

[0327] Providing virtual tours

[0328] The server uses the generative AI model and emotion engine to generate a virtual tour that the user can access. When a user sends a request to participate in a virtual tour from their device, the server receives the request and provides the user with a link to the corresponding virtual tour. The user can join the virtual tour by clicking the link and interact with the generative AI model. For example, if a user selects a virtual tour of the Great Buddha of Nara, they can join the tour by clicking the link generated by the server. During the tour, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the dialogue based on the results.

[0329] Example prompt:

[0330] User: "I'd like to take a virtual tour of the Great Buddha of Nara."

[0331] Server: "Your request has been received. Click the link below to join."

[0332] Holding a digital exhibition

[0333] The server prepares high-resolution images and 3D models of cultural assets and creates exhibition content that integrates the generative AI model and emotion engine. When users access the exhibition, they can enjoy detailed explanations and interactive experiences on their devices. For example, when a user participates in a digital exhibition of ukiyo-e, the server sends high-resolution images and 3D models to their device, and an explanation based on these is provided. When viewing the exhibits, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the explanation based on that information.

[0334] Example prompt:

[0335] User: "I'd like to see a digital exhibition of ukiyo-e prints."

[0336] Server: "Here's the link to access the exhibition."

[0337] Online workshops

[0338] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send a request to participate in a workshop from their device and receive a participation link. During the workshop, the generative AI model answers the user's questions in real time, and the emotion engine recognizes the user's emotions and adjusts the response accordingly. For example, for a user participating in an online tea ceremony workshop, the generative AI model provides detailed explanations, and the emotion engine recognizes the user's emotions and adjusts the tone of the dialogue accordingly.

[0339] Example prompt:

[0340] User: "I'd like to take an online tea ceremony workshop."

[0341] Server: "Please join the workshop at the link below."

[0342] Sharing digital content of cultural assets

[0343] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using the generative AI model and emotion engine. For example, if a user accesses the digital collection of the National Treasure Museum and enters a comment about a specific cultural property, the generative AI model will display related information and comments from other users. The emotion engine will recognize the user's emotions and adjust the displayed content and comment feedback accordingly.

[0344] Example prompt:

[0345] User: "I'd like to see the National Treasure Museum's digital collection."

[0346] Server: "Please access from the link below."

[0347] The system aims to provide users with a more personalized cultural experience by utilizing generative AI models and an emotion engine. Through these interactive services, users can learn about cultural assets and traditional culture in a deeper and more moving way.

[0348] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0349] Providing virtual tours

[0350] Step 1:

[0351] The server receives a virtual tour request from a user.

[0352] Input: A user submits a virtual tour request from their device. A prompt such as "I would like to take a virtual tour of the Great Buddha of Nara."

[0353] Output: The server accepts the request and prepares it to be sent to the generative AI model.

[0354] Step 2:

[0355] The terminal sends the user's request to the server.

[0356] Input: The user clicks the request button on the device to send the request data.

[0357] Output: The request data is sent to the server.

[0358] Step 3:

[0359] The server uses the generative AI model to generate the content of the virtual tour.

[0360] Input: Request data sent from the device, such as a prompt to the generative AI model, such as "Please provide information about the Great Buddha of Nara."

[0361] Data processing: Using a generative AI model (e.g., GPT-4) to generate text, image links, and descriptions for a virtual tour based on the request.

[0362] Output: Get the virtual tour content (text, image links, description).

[0363] Step 4:

[0364] The server uses an emotion engine to recognize the user's emotions.

[0365] Input: Emotional data (facial expressions, tone of voice, etc.) collected from the user's camera and microphone.

[0366] Data processing: The emotion engine analyzes the collected data and recognizes the user's emotional state.

[0367] Output: Information about the user's emotional state.

[0368] Step 5:

[0369] The server sends a link to the virtual tour to the device.

[0370] Input: Virtual tour content generated by a generative AI model and user emotion information generated by an emotion engine.

[0371] Data processing: The link generation system generates virtual tour links and adjusts the message according to the user's emotions.

[0372] Output: Sends a virtual tour link to the device, with a message such as "Your request has been received. Click the link below to join."

[0373] Step 6:

[0374] User clicks on the virtual tour link to join.

[0375] Input: User clicks on a link on their device.

[0376] Output: Start of virtual tour.

[0377] Step 7:

[0378] The server transmits the tour data to the terminal.

[0379] Input: The information the user clicked on the link.

[0380] Data processing: The generated virtual tour data is packetized and prepared for transmission.

[0381] Output: Sending tour data.

[0382] Step 8:

[0383] The device renders and displays the tour data.

[0384] Input: Tour data sent from the server.

[0385] Data processing: Rendering tour data (displaying text, loading image links, manipulating 3D models).

[0386] Output: The virtual tour is displayed on the user's screen.

[0387] Step 9:

[0388] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the dialogue content.

[0389] Input: User emotional data (real-time facial expressions, tone of voice, etc.) and interaction data during the virtual tour.

[0390] Data processing: The emotion engine analyzes the user's emotions and provides feedback to the generative AI model, which then adapts the dialogue content based on the user's emotions.

[0391] Output: Providing tailored dialogue, such as "Are you impressed? This Buddha is 15 meters tall."

[0392] Holding a digital exhibition

[0393] Step 1:

[0394] The server prepares high-resolution images and 3D models.

[0395] Input: Theme and content requirements for your digital exhibition.

[0396] Data processing: High-resolution images and 3D models are retrieved from the database and then organized and formatted for the exhibition.

[0397] Output: Exhibition content setup.

[0398] Step 2:

[0399] The server creates exhibition content by integrating generative AI models and emotion engines.

[0400] Input: exhibition content (high-definition images and 3D models), generative AI model, emotion engine.

[0401] Data processing: Synthesize content using generative AI models and emotion engines to generate interactive commentary.

[0402] Output: Finished exhibition content.

[0403] Step 3:

[0404] A user visits a trade show link.

[0405] Input: User clicks on a trade show link on their device.

[0406] Output: A request for access to the exhibition.

[0407] Step 4:

[0408] The server sends the exhibition data to the terminal.

[0409] Input: The user's access request.

[0410] Data processing: Packetization process for sending exhibition data to the terminal.

[0411] Output: Sending exhibition data.

[0412] Step 5:

[0413] The terminal renders the exhibition data and displays it to the user.

[0414] Input: Exhibition data sent from the server.

[0415] Data processing: Rendering of exhibition data (displaying high-resolution images and 3D models).

[0416] Output: An interactive exhibition displayed on the user's device.

[0417] Step 6:

[0418] The emotion engine recognizes the user's emotions, and the generative AI model adjusts the commentary content.

[0419] Input: User emotional data (real-time facial expressions, tone of voice, etc.) and interaction data during the exhibition.

[0420] Data processing: The emotion engine analyzes the user's emotions and provides feedback to the generative AI model, which then adapts the commentary content based on the user's emotions.

[0421] Output: Providing tailored commentary, for example, "This ukiyo-e is a masterpiece from the Edo period. Does it interest you?"

[0422] Online workshops

[0423] Step 1:

[0424] The server manages the schedule and content of the online workshop.

[0425] Input: Workshop topic, date and time, and participant information.

[0426] Data processing: Schedule setting and content preparation.

[0427] Output: Managed schedule and content.

[0428] Step 2:

[0429] A user submits a workshop request and receives a link to join.

[0430] Input: User's join request.

[0431] Data processing: The server receives the request and generates a join link.

[0432] Output: Send join link to user.

[0433] Step 3:

[0434] The user will join at the specified date and time.

[0435] Input: The user clicks the join link on their device and joins the workshop at the specified time.

[0436] Output: Start of workshop.

[0437] Step 4:

[0438] A generative AI model provides detailed explanations, and an emotion engine recognizes the user's emotions.

[0439] Input: Workshop content, user emotional data (real-time facial expressions, tone of voice, etc.).

[0440] Data processing: A generative AI model provides explanations based on the content, and an emotion engine analyzes the user's emotions.

[0441] Output: Providing tailored dialogue, such as "It seems you're having trouble making tea. Do you have any other questions?"

[0442] (Application example 2)

[0443] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0444] In providing digital content to make cultural assets and traditional culture accessible to a wider range of people, conventional systems have had difficulty adjusting dialogue and services based on the user's individual emotions and reactions. Furthermore, providing real-time question-and-answer and interactive experiences related to cultural assets requires a higher level of responsiveness and personalization. By resolving these challenges, it is necessary to further enrich the user experience and improve satisfaction.

[0445] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0446] In this invention, the server includes means for providing virtual tours, means for holding digital exhibitions, means for conducting online workshops, means for sharing digital content of cultural properties, means for dialogue using a generative AI model, means for combining an emotion engine that recognizes user emotions, and means for adjusting dialogue content and commentary based on the emotions. This allows for the dialogue to be adjusted in real time based on the user's emotions and questions, enabling a more interactive and personalized experience of cultural properties and traditional culture.

[0447] "Means for providing virtual tours" refers to a system that allows users to experience cultural assets and exhibits in a virtual space via the Internet.

[0448] "Means for holding digital exhibitions" refers to a system that uses digital technology to enable users to view exhibitions online through high-definition images and 3D models.

[0449] "Means for conducting online workshops" refers to a mechanism for providing workshops in which users can participate in real time via the Internet and receive guidance from experts and generative AI models.

[0450] "A means for sharing digital content of cultural assets" is a platform that allows users to share and access digital content such as videos, images, and text related to cultural assets via the Internet.

[0451] A "dialogue means using a generative AI model" is a system that uses advanced AI technology to automatically generate dialogue based on input from the user.

[0452] "Means that combine an emotion engine that recognizes the user's emotions" is a system that combines technology that recognizes emotions by analyzing the user's facial expressions, tone of voice, etc.

[0453] "Means for adjusting dialogue content and commentary based on emotions" refers to a mechanism that flexibly adjusts the dialogue content and commentary provided by the generative AI model according to the user's emotional state recognized by the emotion engine.

[0454] This invention combines a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties, with an emotion engine that recognizes user emotions, further enriching the user experience and enabling interactions and services tailored to individual needs.

[0455] System configuration

[0456] The server has the following main features:

[0457] 1. Means of providing virtual tours: Allows users to experience cultural assets and exhibits in a virtual space.

[0458] 2. Means of holding digital exhibitions: Using digital technology to provide online exhibitions through high-definition images and 3D models.

[0459] 3. Means of conducting online workshops: Providing workshops where users can participate in real time and receive guidance from experts and generative AI models.

[0460] 4. Means for sharing digital content of cultural heritage: Providing a platform that allows users to share and access digital content such as videos, images, and texts related to cultural heritage.

[0461] 5. Dialogue using generative AI models: A system that automatically generates dialogue based on user input is used.

[0462] 6. A method that combines an emotion engine that recognizes the user's emotions: A system that combines technology that recognizes emotions by analyzing the user's facial expressions, tone of voice, etc. is used.

[0463] 7. A means to adjust dialogue content and commentary based on emotions: A mechanism is used to adjust the dialogue content and commentary provided by the generative AI model according to the user's emotional state recognized by the emotion engine.

[0464] Main processing flow

[0465] 1. Providing virtual tours

[0466] The server uses the generative AI model and emotion engine to generate and provide a virtual tour that users can access. In response to a request from the device, the server sends a link to the virtual tour to the user. When the user clicks the link to start the virtual tour, the emotion engine recognizes the user's emotion, and the generative AI model adjusts the dialogue content based on that emotion.

[0467] 2. Hosting a digital exhibition

[0468] The server prepares high-resolution images and 3D models of cultural properties, and provides digital content including these, enhanced with a generative AI model and emotion engine. When users access the exhibition, they can enjoy detailed explanations and interactive experiences on their devices. The emotion engine recognizes the user's emotions, and the generative AI model adjusts the storytelling and explanations accordingly.

[0469] 3. Conducting online workshops

[0470] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the response.

[0471] Hardware and software used

[0472] Hardware: Smartphones, smart glasses, head-mounted displays, cameras, high-performance PCs, cloud servers

[0473] Software: Emotion engine (facial expression recognition library), generative AI model (GPT-based natural language processing model)

[0474] Specific examples

[0475] When a user accesses a virtual art gallery using a smartphone and enjoys emotional guidance while viewing the exhibits, the emotion engine recognizes the emotion and the generative AI model adjusts the dialogue content.

[0476] Example prompt sentence:

[0477] User: What is this picture of?

[0478] Generative AI model: This is a famous painting. The artist intended it to depict the horrors of war. How does this painting make you feel?

[0479] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0480] Step 1:

[0481] A user sends a request to participate in a virtual tour from a terminal.

[0482] Input: User request data (Virtual tour selection)

[0483] Output: The request is sent to the server.

[0484] Operation: The device sends a request for the user's selected virtual tour to the server, including the name of the tour selected by the user and other necessary information.

[0485] Step 2:

[0486] The server receives the request, generates a virtual tour link, and sends it to the device.

[0487] Input: User request data

[0488] Output: Virtual tour link

[0489] Operation: Based on the received request, the server generates the appropriate virtual tour link and sends the link to the device.

[0490] Step 3:

[0491] The user clicks on the virtual tour link on their device to start the tour.

[0492] Input: Virtual tour link

[0493] Output: The virtual tour begins.

[0494] How it works: The device starts a virtual tour based on the link the user clicks, allowing the user to visually experience the tour.

[0495] Step 4:

[0496] The device uses a camera to capture the user's facial expressions, which are then analyzed by the emotion engine.

[0497] Input: User's face image

[0498] Output: User emotion data

[0499] How it works: The device captures a user's facial image through the camera and sends the image data to the emotion engine, which analyzes the user's facial expressions and identifies their current emotional state.

[0500] Step 5:

[0501] The emotion engine sends the user's emotion data to the server, and the generative AI model receives it and generates the dialogue content.

[0502] Input: User emotion data

[0503] Output: Emotion-based dialogue

[0504] How it works: The emotion engine sends the analyzed emotion data to the server, where the generative AI model generates appropriate dialogue based on this data.

[0505] Step 6:

[0506] The server transmits the generated dialogue content to the terminal, which then displays the dialogue content to the user.

[0507] Input: Dialogue content generated by the generative AI model

[0508] Output: Displaying the dialogue to the user

[0509] Operation: The server sends the generated dialogue content to the terminal, which displays it to the user, enriching the user's experience.

[0510] Step 7:

[0511] The user inputs a new question or comment from the terminal and sends it to the server.

[0512] Input: User questions and comments

[0513] Output: New request data sent to the server

[0514] How it works: The user enters new questions or comments during the virtual tour, and the device sends them to the server.

[0515] Step 8:

[0516] The server processes the user's questions and comments through a generative AI model to generate appropriate answers.

[0517] Input: User questions and comments

[0518] Output: Answer from the generative AI model

[0519] How it works: The server receives user questions and comments and sends them to the generative AI model, which then generates an appropriate answer.

[0520] Step 9:

[0521] The server sends the generated answer to the terminal, which displays the answer to the user.

[0522] Input: Generated response data

[0523] Output: Display the answer to the user

[0524] Operation: The server sends the answer generated by the generative AI model to the device, which then displays the answer to the user and continues the dialogue.

[0525] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0526] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0527] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0528] [Second embodiment]

[0529] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0530] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0531] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0532] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0533] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0534] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0535] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0536] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0537] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0538] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0539] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0540] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0541] overview

[0542] This invention is a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties. This will provide opportunities to experience cultural properties and traditional culture beyond regional and economic constraints, narrowing cultural gaps, resolving the lack of traditional cultural inheritors, and promoting the international dissemination of Japanese culture.

[0543] Providing virtual tours

[0544] The server uses the generative AI model to generate a virtual tour that the user can access. When a user sends a request to join a virtual tour from their device, the server receives the request and provides the user with a link to the virtual tour. When the user clicks the link, they can join the virtual tour and interact with the generative AI model. As a specific example, a user selects a virtual tour of the Great Buddha of Nara, and their device sends a request to the server, obtains the tour link, and joins.

[0545] Holding a digital exhibition

[0546] The server prepares high-resolution images and 3D models of cultural assets and creates content incorporating storytelling using generative AI models. When users access an exhibition, they can enjoy detailed explanations and interactive experiences on their devices. For example, a user can access a digital exhibition of ukiyo-e prints, and their device can retrieve and display the exhibition's digital content from the server.

[0547] Online workshops

[0548] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, users can interact with the generative AI model in real time to deepen their learning. For example, a user can register for an online tea ceremony workshop and participate at a specified date and time.

[0549] Sharing digital content of cultural assets

[0550] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using the generative AI model. Specifically, when a user accesses the National Treasure Museum's digital collection and enters a comment about a specific cultural property, the generative AI model displays related information and comments from other users.

[0551] Program processing overview

[0552] The server receives requests from users and provides cultural property data and dialogue data from the generative AI model. The device renders the provided data and provides an interactive interface to the user. Through each service, users can interact with the generative AI model and learn about cultural properties and traditional culture in real time.

[0553] This system will transcend regional and economic constraints, expanding opportunities for many people to come into contact with cultural assets and traditional culture, narrowing cultural gaps, and promoting the preservation and international dissemination of Japanese culture.

[0554] The processing flow will be explained below.

[0555] Providing virtual tours

[0556] Step 1:

[0557] A user selects a virtual tour of interest on a website.

[0558] Step 2:

[0559] The terminal sends a request for the selected virtual tour to the server.

[0560] Step 3:

[0561] The server receives the request and generates the corresponding data for the virtual tour (3D model, video, audio, AI dialogue model).

[0562] Step 4:

[0563] The server sends a link to the generated data back to the device.

[0564] Step 5:

[0565] The user clicks on the link they receive and takes part in the virtual tour.

[0566] Step 6:

[0567] The device renders the data for the virtual tour and displays the interface.

[0568] Step 7:

[0569] Users can type in questions during the tour and a generative AI model will provide answers in real time.

[0570] Holding a digital exhibition

[0571] Step 1:

[0572] The server prepares the high-definition images and 3D models needed for the digital exhibition, as well as generative AI models for storytelling.

[0573] Step 2:

[0574] A user visits a digital exhibition link.

[0575] Step 3:

[0576] The terminal sends the corresponding request to the server.

[0577] Step 4:

[0578] The server transmits the exhibition data to the terminal in response to the request.

[0579] Step 5:

[0580] The terminal displays the data and provides the user with an interface that allows for an interactive experience.

[0581] Step 6:

[0582] As users browse exhibits and click on details, the generative AI model provides storytelling information.

[0583] Online workshops

[0584] Step 1:

[0585] A user visits the online workshop page and fills in the required information in the registration form.

[0586] Step 2:

[0587] The terminal transmits the user's registration information to the server.

[0588] Step 3:

[0589] The server prepares links and generative AI models for online workshops based on registration information and manages schedule information.

[0590] Step 4:

[0591] The server sends a registration completion notification and a participation link to the device.

[0592] Step 5:

[0593] The user clicks on the link at the designated date and time to join the online workshop.

[0594] Step 6:

[0595] The device provides an interactive interface between the video stream and the generative AI model.

[0596] Step 7:

[0597] Users enter questions during the workshop and the generative AI model provides answers in real time.

[0598] Sharing digital content of cultural assets

[0599] Step 1:

[0600] The server collects and manages digital content such as videos and texts related to cultural assets.

[0601] Step 2:

[0602] The server provides a platform for sharing digital content.

[0603] Step 3:

[0604] A user accesses the platform and selects the cultural property content of interest.

[0605] Step 4:

[0606] The terminal sends the user's request to the server.

[0607] Step 5:

[0608] The server transmits the corresponding digital content to the terminal.

[0609] Step 6:

[0610] The terminal displays the data and allows the user to have an interactive experience.

[0611] Step 7:

[0612] When a user enters a comment about content, the generative AI model displays related information and comments from other users.

[0613] Example 1

[0614] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0615] Due to regional and economic constraints, many people have limited opportunities to come into contact with cultural assets and traditional culture. Furthermore, conventional digital content delivery systems make it difficult to provide interactive experiences that deepen learning through dialogue with users. It is necessary to resolve these issues and promote the preservation and international dissemination of Japanese culture.

[0616] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0617] In this invention, the server includes means for accepting requests from users, means for analyzing request data, means for calling a corresponding generative AI model, means for generating content, means for providing the generated content to the user, means for rendering an interactive interface on the terminal, means for the user to interact with the generative AI model, and means for collecting feedback, thereby enabling the user to interact with the generative AI model in real time and learn more about cultural assets and traditional culture.

[0618] "Users" are people who use this system to obtain information about cultural assets and traditional culture and experience the service.

[0619] A "server" is a device or system that receives and processes requests from users, generates content using generative AI models, and provides it to users.

[0620] A "Request" is a request made by a User to use a Service, such as a virtual tour, digital exhibition, or online workshop.

[0621] "Request data" refers to data containing the content of a request sent by a user.

[0622] A "generative AI model" is a model that uses artificial intelligence technology to generate content and interact with users.

[0623] "Content" refers to the digital information generated by the generative AI model for virtual tours, digital exhibitions, and online workshops.

[0624] An "interactive interface" is an operating screen that allows users to deepen their learning by interacting with the system in real time.

[0625] "Feedback" refers to information such as impressions and opinions provided by users after using a service.

[0626] MODE FOR CARRYING OUT THE INVENTION

[0627] overview

[0628] This invention is a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, online workshops, and to share digital content of cultural properties. This system provides opportunities to experience cultural properties and traditional culture beyond regional and economic constraints.

[0629] Hardware and software used

[0630] The system uses the following hardware and software:

[0631] Server: Accepts requests, analyzes data, calls generative AI models, and generates and provides content. The hardware used can be a general server device. Python is used for the software, and Flask is used as the web framework.

[0632] Device: Serves as the user interface, rendering received content and interacting with the user. Devices include PCs, smartphones, tablets, etc. It uses a web browser and JavaScript library (e.g., Three.js).

[0633] Generative AI model: Generates cultural property information and interacts with users. Uses TensorFlow or PyTorch as a deep learning model.

[0634] Program processing

[0635] The server analyzes the user's request and calls the generative AI model to generate the required content. Specifically, the user enters a text prompt, and the generative AI model generates the content of a virtual tour, digital exhibition, or online workshop in real time. The generated content is sent from the server to the device and rendered on the device.

[0636] Specific examples

[0637] Providing virtual tours

[0638] The server uses the generative AI model to generate a virtual tour that the user can access. For example, if a user enters a prompt such as "I would like to start a virtual tour of the Great Buddha of Nara," the server analyzes the request and invokes the generative AI model to generate a virtual tour based on information about the Great Buddha of Nara. The server then provides the user with a link to the generated tour, and when the user clicks the link, the virtual tour is rendered on the device.

[0639] Holding a digital exhibition

[0640] The server uses high-resolution images and 3D models to create digital exhibition content incorporating storytelling using generative AI models. For example, if a user requests, "I would like to enter a digital exhibition of ukiyo-e," the server analyzes the request, creates digital content related to ukiyo-e using generative AI models, and sends it to the device. Users can then enjoy the interactive exhibition on their devices.

[0641] Online workshops

[0642] The server manages the schedule and content of the workshop and provides a mechanism for question-answering and dialogue using a generative AI model. For example, if a user requests to "participate in an online tea ceremony workshop" and participates at the specified date and time, the server will use the generative AI model to respond to questions from the user in real time and engage in dialogue.

[0643] summary

[0644] This system provides a new experience where users can learn about cultural assets and traditional culture in real time while interacting with a generative AI model. By combining a server, terminal, and generative AI model, it becomes possible to provide digital content that transcends regional and economic constraints.

[0645] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0646] Step 1:

[0647] A user uses a terminal to make a request to participate in a specific service (a virtual tour, a digital exhibition, an online workshop). For example, the user inputs a prompt statement such as "I would like to start a virtual tour of the Great Buddha of Nara" and submits the request. This input prompt statement is sent to the server.

[0648] Step 2:

[0649] The server receives the request data from the user and analyzes it. Specifically, it receives the request content in JSON format and extracts the request type (virtual tour, digital exhibition, online workshop) and subject (e.g., the Great Buddha of Nara). This analysis identifies the generative AI model and data required for the next step.

[0650] Step 3:

[0651] The server calls the corresponding generative AI model based on the analysis results. It loads the generative AI model using TensorFlow, PyTorch, or other tools in a Python environment and provides the request data as input to the model. This data calculation generates the initial content to be provided to the user. For example, related information and a 3D model for a "virtual tour of the Great Buddha of Nara" are generated.

[0652] Step 4:

[0653] The server further processes the generated content using the generative AI model. Specifically, it combines the generated 3D models, high-resolution images, and storytelling to create digital content for users. This processed data is then converted into a format that can be delivered to users.

[0654] Step 5:

[0655] The server then sends the completed digital content to the user's device. Specifically, it creates a URL link for the generated content and returns a response containing that link to the user. This allows the user to access a virtual tour or similar content simply by clicking the link on their device.

[0656] Step 6:

[0657] The device then renders the digital content received from the server, using HTML5, JavaScript (e.g., Three.js), and CSS to display the 3D model and explanatory content on the screen in real time, allowing users to enjoy the visual experience of the virtual tour.

[0658] Step 7:

[0659] The user interacts with the generative AI model through an interactive interface on their device. For example, if the user inputs a question such as "Why was this Great Buddha built?", the question is sent to the server. The server then calls the generative AI model again, generates an answer to the user's question, and returns it to the device. This allows the user to deepen their learning interactively.

[0660] Step 8:

[0661] The server collects user feedback and interaction data, such as the content of the user's questions, viewing time, and ratings of the answers provided, and stores this data in a database. This data is used to improve the system and develop new content.

[0662] (Application example 1)

[0663] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0664] It is desirable to eliminate the current situation where opportunities to experience cultural assets and traditional culture are limited due to regional and economic constraints, and to narrow the cultural gap. Furthermore, conventional methods of providing digital content lack real-time dialogue and interactive experiences, and there is a need to improve user satisfaction. Therefore, a more effective digital content sharing system is needed to promote Japanese culture internationally and resolve the lack of successors of traditional culture.

[0665] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0666] In this invention, the server includes means for providing a virtual tour, means for holding a digital exhibition, means for conducting an online workshop, means for operating on a smartphone, means for providing an interactive interface, and means for interacting using a generative AI model, thereby enabling a user to learn about cultural assets and traditional culture while interacting with the generative AI model in real time via their smartphone.

[0667] A "virtual tour" is a service that allows you to view cultural assets and tourist attractions in a virtual space.

[0668] A "digital exhibition" is an event in which exhibits based on a specific theme are made available online using digital content.

[0669] An "online workshop" is an educational session or course conducted in real time over the Internet.

[0670] "Digital content of cultural assets" refers to digital data such as high-resolution images, 3D models, videos, and documents related to cultural assets.

[0671] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to answer user questions in real time.

[0672] An "interaction means" is a system that enables two-way communication between the user and the generative AI model.

[0673] "Means operating on a smartphone" refers to a method or process that functions as a smartphone application.

[0674] An "interactive interface" is a user interface that allows the user to directly operate the interface and receive feedback in real time.

[0675] overview

[0676] This invention is a system that uses generative AI models to provide virtual tours, digital exhibitions, and online workshops of cultural assets and traditional culture. This system runs on smartphones and can provide information and dialogue to users in real time through an interactive interface.

[0677] System Configuration

[0678] Hardware and Software Use

[0679] Server: Used to manage digital content and run dialogue systems using generative AI models. Primarily uses web application frameworks such as Flask.

[0680] Device: This refers to the smartphone (iPhone or Android device) used by the user. The service is accessed through a browser or a dedicated app.

[0681] Generative AI model: Using OpenAI's GPT-3 and other models, answers user questions in real time.

[0682] Feature details

[0683] Virtual Tour

[0684] The server receives a request from the user to start a virtual tour and provides a tour link in cooperation with the generative AI model. When the user clicks the tour link on their smartphone, an interactive interface is displayed, with the generative AI model acting as a guide in real time.

[0685] For example, a user can start a tour with a prompt such as "Please tell me about the Great Buddha of Nara."

[0686] Digital Exhibition

[0687] The server manages the content for the digital exhibition (high-definition images and 3D models) and provides detailed explanations when accessed by users. The generative AI model provides additional information in response to user questions.

[0688] For example, you can use prompts such as, "Tell me about the history of ukiyo-e and its representative works."

[0689] Online Workshop

[0690] The server manages the schedule and content of the online workshops and provides links for users to join, allowing them to interact with the generative AI model in real time and deepen their learning.

[0691] For example, you can join a workshop with a prompt such as, "Please tell me the overview of the online tea ceremony workshop and the procedure for participating."

[0692] Program processing overview

[0693] The server uses a web application framework such as Flask to receive requests from users. The generative AI model (OpenAI GPT-3) answers the user's questions according to prompts and provides the results to the user's smartphone via the server. This allows the user to enjoy an interactive experience on their smartphone.

[0694] Examples and prompts

[0695] Virtual Tour: "Please explain the Great Buddha of Nara"

[0696] Digital Exhibition: "Please tell us about the history of ukiyo-e and its representative works."

[0697] Online Workshop: "Please tell me the outline of the online tea ceremony workshop and how to participate."

[0698] By entering these prompts, users can obtain real-time commentary from the generative AI model, enabling a broader and deeper understanding of the appeal of cultural assets and traditional culture.

[0699] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0700] Step 1:

[0701] User submits a request

[0702] Users submit requests for virtual tours, digital exhibitions, or online workshops through a smartphone application, including specific prompts for the tour, exhibition, or workshop they want to participate in. For example, a user might enter a prompt such as, "Please explain the Great Buddha of Nara."

[0703] Step 2:

[0704] The device sends a request to the server

[0705] The device (smartphone) sends a request from the user to the server. The data sent includes the prompt text entered by the user and user information. This data is then processed appropriately on the server side and prepared to be passed to the generative AI model.

[0706] Step 3:

[0707] The server sends prompts to the generative AI model

[0708] The server analyzes the received user request and sends the prompt text to the generative AI model. This operation causes the generative AI model to process and calculate data based on the prompt text and generate an answer. Specifically, the server inputs the prompt text using OpenAI's GPT-3 API and receives the generated text.

[0709] Step 4:

[0710] Generative AI models generate answers

[0711] A generative AI model (e.g., OpenAI GPT-3) uses natural language processing to generate an appropriate response based on the prompt it receives. In this step, the algorithm in the model references a large amount of training data to construct an answer. The output is a detailed text response to the user's request.

[0712] Step 5:

[0713] The server sends the answer to the device

[0714] The server receives the answer from the generative AI model and sends it to the user's device. This operation is performed by converting it into a data format (e.g., JSON format) for display on the front end. The output answer text from the generative AI model is sent to the device.

[0715] Step 6:

[0716] The device renders the answer

[0717] The device analyzes the data received from the server and displays it as an interactive interface for the user. Specifically, generated text and images are displayed on the smartphone screen for the user to read.

[0718] Step 7:

[0719] Interactive user experience

[0720] The user experiences the virtual tour, digital exhibition, or online workshop based on the information displayed on the device. If the user has additional questions, they can enter the prompt again to issue a new request. The process is repeated from step 1.

[0721] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0722] overview

[0723] This invention combines a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties, with an emotion engine that recognizes user emotions, further enriching the user experience and enabling interactions and services tailored to individual needs.

[0724] Providing virtual tours

[0725] The server uses the generative AI model and emotion engine to generate a virtual tour that the user can access. When a user sends a request to join a virtual tour from their device, the server receives the request and provides the user with a link to the virtual tour. When the user clicks the link, they can join the virtual tour and interact with the generative AI model. As a specific example, if a user selects a virtual tour of the Great Buddha of Nara, their device sends a request to the server, obtains the tour link, and joins. During the tour, the user's emotions are recognized by the emotion engine, and the generative AI model adjusts the dialogue based on the results.

[0726] Holding a digital exhibition

[0727] The server prepares high-resolution images and 3D models of cultural assets and creates content incorporating a generative AI model and emotion engine. When users access an exhibition, they can enjoy detailed explanations and an interactive experience on their device. For example, a user can access a digital exhibition of ukiyo-e prints, and their device can retrieve and display the exhibition's digital content from the server. As users view the exhibits, the generative AI model provides storytelling, while the emotion engine recognizes the user's reactions and adjusts the explanation and response as needed.

[0728] Online workshops

[0729] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, users can interact with the generative AI model in real time to deepen their learning. For example, a user registers for an online tea ceremony workshop and participates at a specified date and time. The generative AI model provides detailed explanations, and the emotion engine recognizes the user's emotions and adjusts the tone and content of the dialogue.

[0730] Sharing digital content of cultural assets

[0731] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using a generative AI model and emotion engine. For example, when a user accesses the digital collection of the National Museum of National Treasures and enters a comment about a specific cultural property, the generative AI model displays related information and comments from other users. The emotion engine recognizes the user's emotions and adjusts the displayed content and comment feedback.

[0732] Program processing overview

[0733] The server receives requests from users and provides cultural property data and dialogue data generated by the generative AI model and emotion engine. The device renders the provided data and provides an interactive interface to the user. Through each service, users can interact with the generative AI model and emotion engine and learn about cultural properties and traditional culture in real time. The emotion engine recognizes the user's emotional state and adjusts the experience based on the results.

[0734] This system will transcend regional and economic constraints, expanding opportunities for many people to come into contact with cultural assets and traditional culture, narrowing cultural gaps and promoting the preservation and international dissemination of Japanese culture.The combination of an emotion engine will make the user experience more personalized and increase satisfaction.

[0735] The processing flow will be explained below.

[0736] Providing virtual tours

[0737] Step 1:

[0738] A user selects a virtual tour of interest on a website.

[0739] Step 2:

[0740] The terminal sends a request for the selected virtual tour to the server.

[0741] Step 3:

[0742] The server receives the request and generates the corresponding data for the virtual tour (3D model, video, audio, AI dialogue model).

[0743] Step 4:

[0744] The server sends a link to the generated data back to the device.

[0745] Step 5:

[0746] The user clicks on the link they receive and takes part in the virtual tour.

[0747] Step 6:

[0748] The device renders the data for the virtual tour and displays the interface.

[0749] Step 7:

[0750] Users can enter questions during the tour, and a generative AI model provides answers in real time, while an emotion engine analyzes the user's facial expressions and tone to recognize their emotional state.

[0751] Step 8:

[0752] The server adjusts the dialogue content of the generative AI model based on the results of the emotion engine, changing the tone and content as needed.

[0753] Holding a digital exhibition

[0754] Step 1:

[0755] The server prepares the high-definition images and 3D models needed for the digital exhibition, as well as generative AI models for storytelling.

[0756] Step 2:

[0757] A user visits a digital exhibition link.

[0758] Step 3:

[0759] The terminal sends the corresponding request to the server.

[0760] Step 4:

[0761] The server transmits the exhibition data to the terminal in response to the request.

[0762] Step 5:

[0763] The terminal displays the data and provides the user with an interface that allows for an interactive experience.

[0764] Step 6:

[0765] When users browse exhibits and click on details, the generative AI model provides storytelling information, while the emotion engine recognizes users' reactions and sends that information to the server.

[0766] Step 7:

[0767] Based on the results of the emotion engine, the server adjusts the dialogue content of the generative AI model and changes the explanations and responses.

[0768] Online workshops

[0769] Step 1:

[0770] A user visits the online workshop page and fills in the required information in the registration form.

[0771] Step 2:

[0772] The terminal transmits the user's registration information to the server.

[0773] Step 3:

[0774] The server prepares links and generative AI models for online workshops based on registration information and manages schedule information.

[0775] Step 4:

[0776] The server sends a registration completion notification and a participation link to the device.

[0777] Step 5:

[0778] The user clicks on the link at the designated date and time to join the online workshop.

[0779] Step 6:

[0780] The device provides an interactive interface between the video stream and the generative AI model.

[0781] Step 7:

[0782] Users can input questions during the workshop, and the generative AI model will provide answers in real time. The emotion engine will analyze the user's facial expressions and tone to recognize their emotional state.

[0783] Step 8:

[0784] The server adjusts the dialogue content of the generative AI model based on the results of the emotion engine, changing the tone and content as needed.

[0785] Sharing digital content of cultural assets

[0786] Step 1:

[0787] The server collects and manages digital content such as videos and texts related to cultural assets.

[0788] Step 2:

[0789] The server provides a platform for sharing digital content.

[0790] Step 3:

[0791] A user accesses the platform and selects the cultural property content of interest.

[0792] Step 4:

[0793] The terminal sends the user's request to the server.

[0794] Step 5:

[0795] The server transmits the corresponding digital content to the terminal.

[0796] Step 6:

[0797] The terminal displays the data and allows the user to have an interactive experience.

[0798] Step 7:

[0799] When users comment on content, a generative AI model displays related information and comments from other users. An emotion engine recognizes the user's emotions and adjusts the content and comment feedback accordingly.

[0800] Step 8:

[0801] Based on the results of the emotion engine, the server updates the dialogue content of the generative AI model and provides appropriate information and feedback to the user.

[0802] Example 2

[0803] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0804] In modern society, opportunities to come into contact with cultural assets and traditional culture are limited due to regional and economic constraints, preventing many people from fully enjoying their value. Furthermore, traditional digital content has difficulty responding to individual user emotions, limiting the satisfaction and depth of the experience. Therefore, there is a need for methods to provide more interactive and personalized experiences and expand access to cultural assets and traditional culture.

[0805] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0806] In this invention, the server includes a means for transmitting a request for a user to participate in a virtual tour, a means for the server to generate a virtual tour using a generative AI model, and a means for the server to recognize the user's emotions using an emotion engine and adjust the dialogue based on the results. This expands opportunities for many people to experience cultural assets and traditional culture beyond regional and economic constraints, and further makes it possible to provide a customized interactive experience according to the user's emotions.

[0807] "User" means any individual or organization that uses the System to participate in a virtual tour, digital exhibition, or online workshop.

[0808] A "server" is a computer system that receives requests from users and generates and provides digital content using generative AI models and emotion engines.

[0809] A "virtual tour" is a service that allows users to access and virtually tour cultural properties and tourist attractions from a remote location through digital content.

[0810] A "generative AI model" is an artificial intelligence model that uses natural language processing and machine learning to interact with users and generate digital content.

[0811] An "emotion engine" is software or hardware that recognizes emotions from data such as a user's facial expressions, voice, and text, and adjusts the system's response based on the results.

[0812] A "digital exhibition" is an event where users can view cultural assets and artworks online using digital content such as high-definition images and three-dimensional models.

[0813] "Online Workshops" are online seminars and training sessions that allow users to deepen their learning in real time using generative AI models and emotion engines.

[0814] "Digital content" is information stored in digital form and shared online, such as video, images, text, and 3D models.

[0815] A "terminal" is an electronic device such as a computer, tablet, or smartphone that allows a user to access the system and view digital content.

[0816] "Link" means a URL or other means by which a user accesses a virtual tour, digital exhibition, or online workshop, or is a gateway to the digital content being accessed.

[0817] This invention uses a system that combines a generative AI model and an emotion engine to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties. Furthermore, by incorporating a function that recognizes user emotions and customizes the experience individually, it achieves a more interactive and satisfying experience.

[0818] overview

[0819] The system provides the following main functions:

[0820] 1. Providing virtual tours

[0821] 2. Hosting a digital exhibition

[0822] 3. Conducting online workshops

[0823] 4. Sharing digital content of cultural assets

[0824] Hardware and software used

[0825] Server: A server computer that processes requests, runs generative AI models, controls the emotion engine, and delivers digital content.

[0826] Device: The electronic device used by a user, such as a computer, tablet, or smartphone.

[0827] Generative AI models: Machine learning models that perform natural language processing (e.g., GPT-4).

[0828] Emotion engine: Software that recognizes a user's emotions and generates an appropriate response (e.g., an emotion recognition API).

[0829] Digital content: Digital data such as high-definition images, 3D models, videos, and text.

[0830] Providing virtual tours

[0831] The server uses the generative AI model and emotion engine to generate a virtual tour that the user can access. When a user sends a request to participate in a virtual tour from their device, the server receives the request and provides the user with a link to the corresponding virtual tour. The user can join the virtual tour by clicking the link and interact with the generative AI model. For example, if a user selects a virtual tour of the Great Buddha of Nara, they can join the tour by clicking the link generated by the server. During the tour, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the dialogue based on the results.

[0832] Example prompt:

[0833] User: "I'd like to take a virtual tour of the Great Buddha of Nara."

[0834] Server: "Your request has been received. Click the link below to join."

[0835] Holding a digital exhibition

[0836] The server prepares high-resolution images and 3D models of cultural assets and creates exhibition content that integrates the generative AI model and emotion engine. When users access the exhibition, they can enjoy detailed explanations and interactive experiences on their devices. For example, when a user participates in a digital exhibition of ukiyo-e, the server sends high-resolution images and 3D models to their device, and an explanation based on these is provided. When viewing the exhibits, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the explanation based on that information.

[0837] Example prompt:

[0838] User: "I'd like to see a digital exhibition of ukiyo-e prints."

[0839] Server: "Here's the link to access the exhibition."

[0840] Online workshops

[0841] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send a request to participate in a workshop from their device and receive a participation link. During the workshop, the generative AI model answers the user's questions in real time, and the emotion engine recognizes the user's emotions and adjusts the response accordingly. For example, for a user participating in an online tea ceremony workshop, the generative AI model provides detailed explanations, and the emotion engine recognizes the user's emotions and adjusts the tone of the dialogue accordingly.

[0842] Example prompt:

[0843] User: "I'd like to take an online tea ceremony workshop."

[0844] Server: "Please join the workshop at the link below."

[0845] Sharing digital content of cultural assets

[0846] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using the generative AI model and emotion engine. For example, if a user accesses the digital collection of the National Treasure Museum and enters a comment about a specific cultural property, the generative AI model will display related information and comments from other users. The emotion engine will recognize the user's emotions and adjust the displayed content and comment feedback accordingly.

[0847] Example prompt:

[0848] User: "I'd like to see the National Treasure Museum's digital collection."

[0849] Server: "Please access from the link below."

[0850] The system aims to provide users with a more personalized cultural experience by utilizing generative AI models and an emotion engine. Through these interactive services, users can learn about cultural assets and traditional culture in a deeper and more moving way.

[0851] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0852] Providing virtual tours

[0853] Step 1:

[0854] The server receives a virtual tour request from a user.

[0855] Input: A user submits a virtual tour request from their device. A prompt such as "I would like to take a virtual tour of the Great Buddha of Nara."

[0856] Output: The server accepts the request and prepares it to be sent to the generative AI model.

[0857] Step 2:

[0858] The terminal sends the user's request to the server.

[0859] Input: The user clicks the request button on the device to send the request data.

[0860] Output: The request data is sent to the server.

[0861] Step 3:

[0862] The server uses the generative AI model to generate the content of the virtual tour.

[0863] Input: Request data sent from the device, such as a prompt to the generative AI model, such as "Please provide information about the Great Buddha of Nara."

[0864] Data processing: Using a generative AI model (e.g., GPT-4) to generate text, image links, and descriptions for a virtual tour based on the request.

[0865] Output: Get the virtual tour content (text, image links, description).

[0866] Step 4:

[0867] The server uses an emotion engine to recognize the user's emotions.

[0868] Input: Emotional data (facial expressions, tone of voice, etc.) collected from the user's camera and microphone.

[0869] Data processing: The emotion engine analyzes the collected data and recognizes the user's emotional state.

[0870] Output: Information about the user's emotional state.

[0871] Step 5:

[0872] The server sends a link to the virtual tour to the device.

[0873] Input: Virtual tour content generated by a generative AI model and user emotion information generated by an emotion engine.

[0874] Data processing: The link generation system generates virtual tour links and adjusts the message according to the user's emotions.

[0875] Output: Sends a virtual tour link to the device, with a message such as "Your request has been received. Click the link below to join."

[0876] Step 6:

[0877] User clicks on the virtual tour link to join.

[0878] Input: User clicks on a link on their device.

[0879] Output: Start of virtual tour.

[0880] Step 7:

[0881] The server transmits the tour data to the terminal.

[0882] Input: The information the user clicked on the link.

[0883] Data processing: The generated virtual tour data is packetized and prepared for transmission.

[0884] Output: Sending tour data.

[0885] Step 8:

[0886] The device renders and displays the tour data.

[0887] Input: Tour data sent from the server.

[0888] Data processing: Rendering tour data (displaying text, loading image links, manipulating 3D models).

[0889] Output: The virtual tour is displayed on the user's screen.

[0890] Step 9:

[0891] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the dialogue content.

[0892] Input: User emotional data (real-time facial expressions, tone of voice, etc.) and interaction data during the virtual tour.

[0893] Data processing: The emotion engine analyzes the user's emotions and provides feedback to the generative AI model, which then adapts the dialogue content based on the user's emotions.

[0894] Output: Providing tailored dialogue, such as "Are you impressed? This Buddha is 15 meters tall."

[0895] Holding a digital exhibition

[0896] Step 1:

[0897] The server prepares high-resolution images and 3D models.

[0898] Input: Theme and content requirements for your digital exhibition.

[0899] Data processing: High-resolution images and 3D models are retrieved from the database and then organized and formatted for the exhibition.

[0900] Output: Exhibition content setup.

[0901] Step 2:

[0902] The server creates exhibition content by integrating generative AI models and emotion engines.

[0903] Input: exhibition content (high-definition images and 3D models), generative AI model, emotion engine.

[0904] Data processing: Synthesize content using generative AI models and emotion engines to generate interactive commentary.

[0905] Output: Finished exhibition content.

[0906] Step 3:

[0907] A user visits a trade show link.

[0908] Input: User clicks on a trade show link on their device.

[0909] Output: A request for access to the exhibition.

[0910] Step 4:

[0911] The server sends the exhibition data to the terminal.

[0912] Input: The user's access request.

[0913] Data processing: Packetization process for sending exhibition data to the terminal.

[0914] Output: Sending exhibition data.

[0915] Step 5:

[0916] The terminal renders the exhibition data and displays it to the user.

[0917] Input: Exhibition data sent from the server.

[0918] Data processing: Rendering of exhibition data (displaying high-resolution images and 3D models).

[0919] Output: An interactive exhibition displayed on the user's device.

[0920] Step 6:

[0921] The emotion engine recognizes the user's emotions, and the generative AI model adjusts the commentary content.

[0922] Input: User emotional data (real-time facial expressions, tone of voice, etc.) and interaction data during the exhibition.

[0923] Data processing: The emotion engine analyzes the user's emotions and provides feedback to the generative AI model, which then adapts the commentary content based on the user's emotions.

[0924] Output: Providing tailored commentary, for example, "This ukiyo-e is a masterpiece from the Edo period. Does it interest you?"

[0925] Online workshops

[0926] Step 1:

[0927] The server manages the schedule and content of the online workshop.

[0928] Input: Workshop topic, date and time, and participant information.

[0929] Data processing: Schedule setting and content preparation.

[0930] Output: Managed schedule and content.

[0931] Step 2:

[0932] A user submits a workshop request and receives a link to join.

[0933] Input: User's join request.

[0934] Data processing: The server receives the request and generates a join link.

[0935] Output: Send join link to user.

[0936] Step 3:

[0937] The user will join at the specified date and time.

[0938] Input: The user clicks the join link on their device and joins the workshop at the specified time.

[0939] Output: Start of workshop.

[0940] Step 4:

[0941] A generative AI model provides detailed explanations, and an emotion engine recognizes the user's emotions.

[0942] Input: Workshop content, user emotional data (real-time facial expressions, tone of voice, etc.).

[0943] Data processing: A generative AI model provides explanations based on the content, and an emotion engine analyzes the user's emotions.

[0944] Output: Providing tailored dialogue, such as "It seems you're having trouble making tea. Do you have any other questions?"

[0945] (Application example 2)

[0946] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0947] In providing digital content to make cultural assets and traditional culture accessible to a wider range of people, conventional systems have had difficulty adjusting dialogue and services based on the user's individual emotions and reactions. Furthermore, providing real-time question-and-answer and interactive experiences related to cultural assets requires a higher level of responsiveness and personalization. By resolving these challenges, it is necessary to further enrich the user experience and improve satisfaction.

[0948] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0949] In this invention, the server includes means for providing virtual tours, means for holding digital exhibitions, means for conducting online workshops, means for sharing digital content of cultural properties, means for dialogue using a generative AI model, means for combining an emotion engine that recognizes user emotions, and means for adjusting dialogue content and commentary based on the emotions. This allows for the dialogue to be adjusted in real time based on the user's emotions and questions, enabling a more interactive and personalized experience of cultural properties and traditional culture.

[0950] "Means for providing virtual tours" refers to a system that allows users to experience cultural assets and exhibits in a virtual space via the Internet.

[0951] "Means for holding digital exhibitions" refers to a system that uses digital technology to enable users to view exhibitions online through high-definition images and 3D models.

[0952] "Means for conducting online workshops" refers to a mechanism for providing workshops in which users can participate in real time via the Internet and receive guidance from experts and generative AI models.

[0953] "A means for sharing digital content of cultural assets" is a platform that allows users to share and access digital content such as videos, images, and text related to cultural assets via the Internet.

[0954] A "dialogue means using a generative AI model" is a system that uses advanced AI technology to automatically generate dialogue based on input from the user.

[0955] "Means that combine an emotion engine that recognizes the user's emotions" is a system that combines technology that recognizes emotions by analyzing the user's facial expressions, tone of voice, etc.

[0956] "Means for adjusting dialogue content and commentary based on emotions" refers to a mechanism that flexibly adjusts the dialogue content and commentary provided by the generative AI model according to the user's emotional state recognized by the emotion engine.

[0957] This invention combines a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties, with an emotion engine that recognizes user emotions, further enriching the user experience and enabling interactions and services tailored to individual needs.

[0958] System configuration

[0959] The server has the following main features:

[0960] 1. Means of providing virtual tours: Allows users to experience cultural assets and exhibits in a virtual space.

[0961] 2. Means of holding digital exhibitions: Using digital technology to provide online exhibitions through high-definition images and 3D models.

[0962] 3. Means of conducting online workshops: Providing workshops where users can participate in real time and receive guidance from experts and generative AI models.

[0963] 4. Means for sharing digital content of cultural heritage: Providing a platform that allows users to share and access digital content such as videos, images, and texts related to cultural heritage.

[0964] 5. Dialogue using generative AI models: A system that automatically generates dialogue based on user input is used.

[0965] 6. A method that combines an emotion engine that recognizes the user's emotions: A system that combines technology that recognizes emotions by analyzing the user's facial expressions, tone of voice, etc. is used.

[0966] 7. A means to adjust dialogue content and commentary based on emotions: A mechanism is used to adjust the dialogue content and commentary provided by the generative AI model according to the user's emotional state recognized by the emotion engine.

[0967] Main processing flow

[0968] 1. Providing virtual tours

[0969] The server uses the generative AI model and emotion engine to generate and provide a virtual tour that users can access. In response to a request from the device, the server sends a link to the virtual tour to the user. When the user clicks the link to start the virtual tour, the emotion engine recognizes the user's emotion, and the generative AI model adjusts the dialogue content based on that emotion.

[0970] 2. Hosting a digital exhibition

[0971] The server prepares high-resolution images and 3D models of cultural properties, and provides digital content including these, enhanced with a generative AI model and emotion engine. When users access the exhibition, they can enjoy detailed explanations and interactive experiences on their devices. The emotion engine recognizes the user's emotions, and the generative AI model adjusts the storytelling and explanations accordingly.

[0972] 3. Conducting online workshops

[0973] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the response.

[0974] Hardware and software used

[0975] Hardware: Smartphones, smart glasses, head-mounted displays, cameras, high-performance PCs, cloud servers

[0976] Software: Emotion engine (facial expression recognition library), generative AI model (GPT-based natural language processing model)

[0977] Specific examples

[0978] When a user accesses a virtual art gallery using a smartphone and enjoys emotional guidance while viewing the exhibits, the emotion engine recognizes the emotion and the generative AI model adjusts the dialogue content.

[0979] Example prompt sentence:

[0980] User: What is this picture of?

[0981] Generative AI model: This is a famous painting. The artist intended it to depict the horrors of war. How does this painting make you feel?

[0982] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0983] Step 1:

[0984] A user sends a request to participate in a virtual tour from a terminal.

[0985] Input: User request data (Virtual tour selection)

[0986] Output: The request is sent to the server.

[0987] Operation: The device sends a request for the user's selected virtual tour to the server, including the name of the tour selected by the user and other necessary information.

[0988] Step 2:

[0989] The server receives the request, generates a virtual tour link, and sends it to the device.

[0990] Input: User request data

[0991] Output: Virtual tour link

[0992] Operation: Based on the received request, the server generates the appropriate virtual tour link and sends the link to the device.

[0993] Step 3:

[0994] The user clicks on the virtual tour link on their device to start the tour.

[0995] Input: Virtual tour link

[0996] Output: The virtual tour begins.

[0997] How it works: The device starts a virtual tour based on the link the user clicks, allowing the user to visually experience the tour.

[0998] Step 4:

[0999] The device uses a camera to capture the user's facial expressions, which are then analyzed by the emotion engine.

[1000] Input: User's face image

[1001] Output: User emotion data

[1002] How it works: The device captures a user's facial image through the camera and sends the image data to the emotion engine, which analyzes the user's facial expressions and identifies their current emotional state.

[1003] Step 5:

[1004] The emotion engine sends the user's emotion data to the server, and the generative AI model receives it and generates the dialogue content.

[1005] Input: User emotion data

[1006] Output: Emotion-based dialogue

[1007] How it works: The emotion engine sends the analyzed emotion data to the server, where the generative AI model generates appropriate dialogue based on this data.

[1008] Step 6:

[1009] The server transmits the generated dialogue content to the terminal, which then displays the dialogue content to the user.

[1010] Input: Dialogue content generated by the generative AI model

[1011] Output: Displaying the dialogue to the user

[1012] Operation: The server sends the generated dialogue content to the terminal, which displays it to the user, enriching the user's experience.

[1013] Step 7:

[1014] The user inputs a new question or comment from the terminal and sends it to the server.

[1015] Input: User questions and comments

[1016] Output: New request data sent to the server

[1017] How it works: The user enters new questions or comments during the virtual tour, and the device sends them to the server.

[1018] Step 8:

[1019] The server processes the user's questions and comments through a generative AI model to generate appropriate answers.

[1020] Input: User questions and comments

[1021] Output: Answer from the generative AI model

[1022] How it works: The server receives user questions and comments and sends them to the generative AI model, which then generates an appropriate answer.

[1023] Step 9:

[1024] The server sends the generated answer to the terminal, which displays the answer to the user.

[1025] Input: Generated response data

[1026] Output: Display the answer to the user

[1027] Operation: The server sends the answer generated by the generative AI model to the device, which then displays the answer to the user and continues the dialogue.

[1028] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1029] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1030] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1031] [Third embodiment]

[1032] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1033] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1034] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1035] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1036] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1037] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1038] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1039] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1040] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1041] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1042] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1043] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[1044] overview

[1045] This invention is a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties. This will provide opportunities to experience cultural properties and traditional culture beyond regional and economic constraints, narrowing cultural gaps, resolving the lack of traditional cultural inheritors, and promoting the international dissemination of Japanese culture.

[1046] Providing virtual tours

[1047] The server uses the generative AI model to generate a virtual tour that the user can access. When a user sends a request to join a virtual tour from their device, the server receives the request and provides the user with a link to the virtual tour. When the user clicks the link, they can join the virtual tour and interact with the generative AI model. As a specific example, a user selects a virtual tour of the Great Buddha of Nara, and their device sends a request to the server, obtains the tour link, and joins.

[1048] Holding a digital exhibition

[1049] The server prepares high-resolution images and 3D models of cultural assets and creates content incorporating storytelling using generative AI models. When users access an exhibition, they can enjoy detailed explanations and interactive experiences on their devices. For example, a user can access a digital exhibition of ukiyo-e prints, and their device can retrieve and display the exhibition's digital content from the server.

[1050] Online workshops

[1051] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, users can interact with the generative AI model in real time to deepen their learning. For example, a user can register for an online tea ceremony workshop and participate at a specified date and time.

[1052] Sharing digital content of cultural assets

[1053] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using the generative AI model. Specifically, when a user accesses the National Treasure Museum's digital collection and enters a comment about a specific cultural property, the generative AI model displays related information and comments from other users.

[1054] Program processing overview

[1055] The server receives requests from users and provides cultural property data and dialogue data from the generative AI model. The device renders the provided data and provides an interactive interface to the user. Through each service, users can interact with the generative AI model and learn about cultural properties and traditional culture in real time.

[1056] This system will transcend regional and economic constraints, expanding opportunities for many people to come into contact with cultural assets and traditional culture, narrowing cultural gaps, and promoting the preservation and international dissemination of Japanese culture.

[1057] The processing flow will be explained below.

[1058] Providing virtual tours

[1059] Step 1:

[1060] A user selects a virtual tour of interest on a website.

[1061] Step 2:

[1062] The terminal sends a request for the selected virtual tour to the server.

[1063] Step 3:

[1064] The server receives the request and generates the corresponding data for the virtual tour (3D model, video, audio, AI dialogue model).

[1065] Step 4:

[1066] The server sends a link to the generated data back to the device.

[1067] Step 5:

[1068] The user clicks on the link they receive and takes part in the virtual tour.

[1069] Step 6:

[1070] The device renders the data for the virtual tour and displays the interface.

[1071] Step 7:

[1072] Users can type in questions during the tour and a generative AI model will provide answers in real time.

[1073] Holding a digital exhibition

[1074] Step 1:

[1075] The server prepares the high-definition images and 3D models needed for the digital exhibition, as well as generative AI models for storytelling.

[1076] Step 2:

[1077] A user visits a digital exhibition link.

[1078] Step 3:

[1079] The terminal sends the corresponding request to the server.

[1080] Step 4:

[1081] The server transmits the exhibition data to the terminal in response to the request.

[1082] Step 5:

[1083] The terminal displays the data and provides the user with an interface that allows for an interactive experience.

[1084] Step 6:

[1085] As users browse exhibits and click on details, the generative AI model provides storytelling information.

[1086] Online workshops

[1087] Step 1:

[1088] A user visits the online workshop page and fills in the required information in the registration form.

[1089] Step 2:

[1090] The terminal transmits the user's registration information to the server.

[1091] Step 3:

[1092] The server prepares links and generative AI models for online workshops based on registration information and manages schedule information.

[1093] Step 4:

[1094] The server sends a registration completion notification and a participation link to the device.

[1095] Step 5:

[1096] The user clicks on the link at the designated date and time to join the online workshop.

[1097] Step 6:

[1098] The device provides an interactive interface between the video stream and the generative AI model.

[1099] Step 7:

[1100] Users enter questions during the workshop and the generative AI model provides answers in real time.

[1101] Sharing digital content of cultural assets

[1102] Step 1:

[1103] The server collects and manages digital content such as videos and texts related to cultural assets.

[1104] Step 2:

[1105] The server provides a platform for sharing digital content.

[1106] Step 3:

[1107] A user accesses the platform and selects the cultural property content of interest.

[1108] Step 4:

[1109] The terminal sends the user's request to the server.

[1110] Step 5:

[1111] The server transmits the corresponding digital content to the terminal.

[1112] Step 6:

[1113] The terminal displays the data and allows the user to have an interactive experience.

[1114] Step 7:

[1115] When a user enters a comment about content, the generative AI model displays related information and comments from other users.

[1116] Example 1

[1117] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1118] Due to regional and economic constraints, many people have limited opportunities to come into contact with cultural assets and traditional culture. Furthermore, conventional digital content delivery systems make it difficult to provide interactive experiences that deepen learning through dialogue with users. It is necessary to resolve these issues and promote the preservation and international dissemination of Japanese culture.

[1119] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1120] In this invention, the server includes means for accepting requests from users, means for analyzing request data, means for calling a corresponding generative AI model, means for generating content, means for providing the generated content to the user, means for rendering an interactive interface on the terminal, means for the user to interact with the generative AI model, and means for collecting feedback, thereby enabling the user to interact with the generative AI model in real time and learn more about cultural assets and traditional culture.

[1121] "Users" are people who use this system to obtain information about cultural assets and traditional culture and experience the service.

[1122] A "server" is a device or system that receives and processes requests from users, generates content using generative AI models, and provides it to users.

[1123] A "Request" is a request made by a User to use a Service, such as a virtual tour, digital exhibition, or online workshop.

[1124] "Request data" refers to data containing the content of a request sent by a user.

[1125] A "generative AI model" is a model that uses artificial intelligence technology to generate content and interact with users.

[1126] "Content" refers to the digital information generated by the generative AI model for virtual tours, digital exhibitions, and online workshops.

[1127] An "interactive interface" is an operating screen that allows users to deepen their learning by interacting with the system in real time.

[1128] "Feedback" refers to information such as impressions and opinions provided by users after using a service.

[1129] MODE FOR CARRYING OUT THE INVENTION

[1130] overview

[1131] This invention is a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, online workshops, and to share digital content of cultural properties. This system provides opportunities to experience cultural properties and traditional culture beyond regional and economic constraints.

[1132] Hardware and software used

[1133] The system uses the following hardware and software:

[1134] Server: Accepts requests, analyzes data, calls generative AI models, and generates and provides content. The hardware used can be a general server device. Python is used for the software, and Flask is used as the web framework.

[1135] Device: Serves as the user interface, rendering received content and interacting with the user. Devices include PCs, smartphones, tablets, etc. It uses a web browser and JavaScript library (e.g., Three.js).

[1136] Generative AI model: Generates cultural property information and interacts with users. Uses TensorFlow or PyTorch as a deep learning model.

[1137] Program processing

[1138] The server analyzes the user's request and calls the generative AI model to generate the required content. Specifically, the user enters a text prompt, and the generative AI model generates the content of a virtual tour, digital exhibition, or online workshop in real time. The generated content is sent from the server to the device and rendered on the device.

[1139] Specific examples

[1140] Providing virtual tours

[1141] The server uses the generative AI model to generate a virtual tour that the user can access. For example, if a user enters a prompt such as "I would like to start a virtual tour of the Great Buddha of Nara," the server analyzes the request and invokes the generative AI model to generate a virtual tour based on information about the Great Buddha of Nara. The server then provides the user with a link to the generated tour, and when the user clicks the link, the virtual tour is rendered on the device.

[1142] Holding a digital exhibition

[1143] The server uses high-resolution images and 3D models to create digital exhibition content incorporating storytelling using generative AI models. For example, if a user requests, "I would like to enter a digital exhibition of ukiyo-e," the server analyzes the request, creates digital content related to ukiyo-e using generative AI models, and sends it to the device. Users can then enjoy the interactive exhibition on their devices.

[1144] Online workshops

[1145] The server manages the schedule and content of the workshop and provides a mechanism for question-answering and dialogue using a generative AI model. For example, if a user requests to "participate in an online tea ceremony workshop" and participates at the specified date and time, the server will use the generative AI model to respond to questions from the user in real time and engage in dialogue.

[1146] summary

[1147] This system provides a new experience where users can learn about cultural assets and traditional culture in real time while interacting with a generative AI model. By combining a server, terminal, and generative AI model, it becomes possible to provide digital content that transcends regional and economic constraints.

[1148] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1149] Step 1:

[1150] A user uses a terminal to make a request to participate in a specific service (a virtual tour, a digital exhibition, an online workshop). For example, the user inputs a prompt statement such as "I would like to start a virtual tour of the Great Buddha of Nara" and submits the request. This input prompt statement is sent to the server.

[1151] Step 2:

[1152] The server receives the request data from the user and analyzes it. Specifically, it receives the request content in JSON format and extracts the request type (virtual tour, digital exhibition, online workshop) and subject (e.g., the Great Buddha of Nara). This analysis identifies the generative AI model and data required for the next step.

[1153] Step 3:

[1154] The server calls the corresponding generative AI model based on the analysis results. It loads the generative AI model using TensorFlow, PyTorch, or other tools in a Python environment and provides the request data as input to the model. This data calculation generates the initial content to be provided to the user. For example, related information and a 3D model for a "virtual tour of the Great Buddha of Nara" are generated.

[1155] Step 4:

[1156] The server further processes the generated content using the generative AI model. Specifically, it combines the generated 3D models, high-resolution images, and storytelling to create digital content for users. This processed data is then converted into a format that can be delivered to users.

[1157] Step 5:

[1158] The server then sends the completed digital content to the user's device. Specifically, it creates a URL link for the generated content and returns a response containing that link to the user. This allows the user to access a virtual tour or similar content simply by clicking the link on their device.

[1159] Step 6:

[1160] The device then renders the digital content received from the server, using HTML5, JavaScript (e.g., Three.js), and CSS to display the 3D model and explanatory content on the screen in real time, allowing users to enjoy the visual experience of the virtual tour.

[1161] Step 7:

[1162] The user interacts with the generative AI model through an interactive interface on their device. For example, if the user inputs a question such as "Why was this Great Buddha built?", the question is sent to the server. The server then calls the generative AI model again, generates an answer to the user's question, and returns it to the device. This allows the user to deepen their learning interactively.

[1163] Step 8:

[1164] The server collects user feedback and interaction data, such as the content of the user's questions, viewing time, and ratings of the answers provided, and stores this data in a database. This data is used to improve the system and develop new content.

[1165] (Application example 1)

[1166] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1167] It is desirable to eliminate the current situation where opportunities to experience cultural assets and traditional culture are limited due to regional and economic constraints, and to narrow the cultural gap. Furthermore, conventional methods of providing digital content lack real-time dialogue and interactive experiences, and there is a need to improve user satisfaction. Therefore, a more effective digital content sharing system is needed to promote Japanese culture internationally and resolve the lack of successors of traditional culture.

[1168] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1169] In this invention, the server includes means for providing a virtual tour, means for holding a digital exhibition, means for conducting an online workshop, means for operating on a smartphone, means for providing an interactive interface, and means for interacting using a generative AI model, thereby enabling a user to learn about cultural assets and traditional culture while interacting with the generative AI model in real time via their smartphone.

[1170] A "virtual tour" is a service that allows you to view cultural assets and tourist attractions in a virtual space.

[1171] A "digital exhibition" is an event in which exhibits based on a specific theme are made available online using digital content.

[1172] An "online workshop" is an educational session or course conducted in real time over the Internet.

[1173] "Digital content of cultural assets" refers to digital data such as high-resolution images, 3D models, videos, and documents related to cultural assets.

[1174] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to answer user questions in real time.

[1175] An "interaction means" is a system that enables two-way communication between the user and the generative AI model.

[1176] "Means operating on a smartphone" refers to a method or process that functions as a smartphone application.

[1177] An "interactive interface" is a user interface that allows the user to directly operate the interface and receive feedback in real time.

[1178] overview

[1179] This invention is a system that uses generative AI models to provide virtual tours, digital exhibitions, and online workshops of cultural assets and traditional culture. This system runs on smartphones and can provide information and dialogue to users in real time through an interactive interface.

[1180] System Configuration

[1181] Hardware and Software Use

[1182] Server: Used to manage digital content and run dialogue systems using generative AI models. Primarily uses web application frameworks such as Flask.

[1183] Device: This refers to the smartphone (iPhone or Android device) used by the user. The service is accessed through a browser or a dedicated app.

[1184] Generative AI model: Using OpenAI's GPT-3 and other models, answers user questions in real time.

[1185] Feature details

[1186] Virtual Tour

[1187] The server receives a request from the user to start a virtual tour and provides a tour link in cooperation with the generative AI model. When the user clicks the tour link on their smartphone, an interactive interface is displayed, with the generative AI model acting as a guide in real time.

[1188] For example, a user can start a tour with a prompt such as "Please tell me about the Great Buddha of Nara."

[1189] Digital Exhibition

[1190] The server manages the content for the digital exhibition (high-definition images and 3D models) and provides detailed explanations when accessed by users. The generative AI model provides additional information in response to user questions.

[1191] For example, you can use prompts such as, "Tell me about the history of ukiyo-e and its representative works."

[1192] Online Workshop

[1193] The server manages the schedule and content of the online workshops and provides links for users to join, allowing them to interact with the generative AI model in real time and deepen their learning.

[1194] For example, you can join a workshop with a prompt such as, "Please tell me the overview of the online tea ceremony workshop and the procedure for participating."

[1195] Program processing overview

[1196] The server uses a web application framework such as Flask to receive requests from users. The generative AI model (OpenAI GPT-3) answers the user's questions according to prompts and provides the results to the user's smartphone via the server. This allows the user to enjoy an interactive experience on their smartphone.

[1197] Examples and prompts

[1198] Virtual Tour: "Please explain the Great Buddha of Nara"

[1199] Digital Exhibition: "Please tell us about the history of ukiyo-e and its representative works."

[1200] Online Workshop: "Please tell me the outline of the online tea ceremony workshop and how to participate."

[1201] By entering these prompts, users can obtain real-time commentary from the generative AI model, enabling a broader and deeper understanding of the appeal of cultural assets and traditional culture.

[1202] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1203] Step 1:

[1204] User submits a request

[1205] Users submit requests for virtual tours, digital exhibitions, or online workshops through a smartphone application, including specific prompts for the tour, exhibition, or workshop they want to participate in. For example, a user might enter a prompt such as, "Please explain the Great Buddha of Nara."

[1206] Step 2:

[1207] The device sends a request to the server

[1208] The device (smartphone) sends a request from the user to the server. The data sent includes the prompt text entered by the user and user information. This data is then processed appropriately on the server side and prepared to be passed to the generative AI model.

[1209] Step 3:

[1210] The server sends prompts to the generative AI model

[1211] The server analyzes the received user request and sends the prompt text to the generative AI model. This operation causes the generative AI model to process and calculate data based on the prompt text and generate an answer. Specifically, the server inputs the prompt text using OpenAI's GPT-3 API and receives the generated text.

[1212] Step 4:

[1213] Generative AI models generate answers

[1214] A generative AI model (e.g., OpenAI GPT-3) uses natural language processing to generate an appropriate response based on the prompt it receives. In this step, the algorithm in the model references a large amount of training data to construct an answer. The output is a detailed text response to the user's request.

[1215] Step 5:

[1216] The server sends the answer to the device

[1217] The server receives the answer from the generative AI model and sends it to the user's device. This operation is performed by converting it into a data format (e.g., JSON format) for display on the front end. The output answer text from the generative AI model is sent to the device.

[1218] Step 6:

[1219] The device renders the answer

[1220] The device analyzes the data received from the server and displays it as an interactive interface for the user. Specifically, generated text and images are displayed on the smartphone screen for the user to read.

[1221] Step 7:

[1222] Interactive user experience

[1223] The user experiences the virtual tour, digital exhibition, or online workshop based on the information displayed on the device. If the user has additional questions, they can enter the prompt again to issue a new request. The process is repeated from step 1.

[1224] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1225] overview

[1226] This invention combines a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties, with an emotion engine that recognizes user emotions, further enriching the user experience and enabling interactions and services tailored to individual needs.

[1227] Providing virtual tours

[1228] The server uses the generative AI model and emotion engine to generate a virtual tour that the user can access. When a user sends a request to join a virtual tour from their device, the server receives the request and provides the user with a link to the virtual tour. When the user clicks the link, they can join the virtual tour and interact with the generative AI model. As a specific example, if a user selects a virtual tour of the Great Buddha of Nara, their device sends a request to the server, obtains the tour link, and joins. During the tour, the user's emotions are recognized by the emotion engine, and the generative AI model adjusts the dialogue based on the results.

[1229] Holding a digital exhibition

[1230] The server prepares high-resolution images and 3D models of cultural assets and creates content incorporating a generative AI model and emotion engine. When users access an exhibition, they can enjoy detailed explanations and an interactive experience on their device. For example, a user can access a digital exhibition of ukiyo-e prints, and their device can retrieve and display the exhibition's digital content from the server. As users view the exhibits, the generative AI model provides storytelling, while the emotion engine recognizes the user's reactions and adjusts the explanation and response as needed.

[1231] Online workshops

[1232] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, users can interact with the generative AI model in real time to deepen their learning. For example, a user registers for an online tea ceremony workshop and participates at a specified date and time. The generative AI model provides detailed explanations, and the emotion engine recognizes the user's emotions and adjusts the tone and content of the dialogue.

[1233] Sharing digital content of cultural assets

[1234] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using a generative AI model and emotion engine. For example, when a user accesses the digital collection of the National Museum of National Treasures and enters a comment about a specific cultural property, the generative AI model displays related information and comments from other users. The emotion engine recognizes the user's emotions and adjusts the displayed content and comment feedback.

[1235] Program processing overview

[1236] The server receives requests from users and provides cultural property data and dialogue data generated by the generative AI model and emotion engine. The device renders the provided data and provides an interactive interface to the user. Through each service, users can interact with the generative AI model and emotion engine and learn about cultural properties and traditional culture in real time. The emotion engine recognizes the user's emotional state and adjusts the experience based on the results.

[1237] This system will transcend regional and economic constraints, expanding opportunities for many people to come into contact with cultural assets and traditional culture, narrowing cultural gaps and promoting the preservation and international dissemination of Japanese culture.The combination of an emotion engine will make the user experience more personalized and increase satisfaction.

[1238] The processing flow will be explained below.

[1239] Providing virtual tours

[1240] Step 1:

[1241] A user selects a virtual tour of interest on a website.

[1242] Step 2:

[1243] The terminal sends a request for the selected virtual tour to the server.

[1244] Step 3:

[1245] The server receives the request and generates the corresponding data for the virtual tour (3D model, video, audio, AI dialogue model).

[1246] Step 4:

[1247] The server sends a link to the generated data back to the device.

[1248] Step 5:

[1249] The user clicks on the link they receive and takes part in the virtual tour.

[1250] Step 6:

[1251] The device renders the data for the virtual tour and displays the interface.

[1252] Step 7:

[1253] Users can enter questions during the tour, and a generative AI model provides answers in real time, while an emotion engine analyzes the user's facial expressions and tone to recognize their emotional state.

[1254] Step 8:

[1255] The server adjusts the dialogue content of the generative AI model based on the results of the emotion engine, changing the tone and content as needed.

[1256] Holding a digital exhibition

[1257] Step 1:

[1258] The server prepares the high-definition images and 3D models needed for the digital exhibition, as well as generative AI models for storytelling.

[1259] Step 2:

[1260] A user visits a digital exhibition link.

[1261] Step 3:

[1262] The terminal sends the corresponding request to the server.

[1263] Step 4:

[1264] The server transmits the exhibition data to the terminal in response to the request.

[1265] Step 5:

[1266] The terminal displays the data and provides the user with an interface that allows for an interactive experience.

[1267] Step 6:

[1268] When users browse exhibits and click on details, the generative AI model provides storytelling information, while the emotion engine recognizes users' reactions and sends that information to the server.

[1269] Step 7:

[1270] Based on the results of the emotion engine, the server adjusts the dialogue content of the generative AI model and changes the explanations and responses.

[1271] Online workshops

[1272] Step 1:

[1273] A user visits the online workshop page and fills in the required information in the registration form.

[1274] Step 2:

[1275] The terminal transmits the user's registration information to the server.

[1276] Step 3:

[1277] The server prepares links and generative AI models for online workshops based on registration information and manages schedule information.

[1278] Step 4:

[1279] The server sends a registration completion notification and a participation link to the device.

[1280] Step 5:

[1281] The user clicks on the link at the designated date and time to join the online workshop.

[1282] Step 6:

[1283] The device provides an interactive interface between the video stream and the generative AI model.

[1284] Step 7:

[1285] Users can input questions during the workshop, and the generative AI model will provide answers in real time. The emotion engine will analyze the user's facial expressions and tone to recognize their emotional state.

[1286] Step 8:

[1287] The server adjusts the dialogue content of the generative AI model based on the results of the emotion engine, changing the tone and content as needed.

[1288] Sharing digital content of cultural assets

[1289] Step 1:

[1290] The server collects and manages digital content such as videos and texts related to cultural assets.

[1291] Step 2:

[1292] The server provides a platform for sharing digital content.

[1293] Step 3:

[1294] A user accesses the platform and selects the cultural property content of interest.

[1295] Step 4:

[1296] The terminal sends the user's request to the server.

[1297] Step 5:

[1298] The server transmits the corresponding digital content to the terminal.

[1299] Step 6:

[1300] The terminal displays the data and allows the user to have an interactive experience.

[1301] Step 7:

[1302] When users comment on content, a generative AI model displays related information and comments from other users. An emotion engine recognizes the user's emotions and adjusts the content and comment feedback accordingly.

[1303] Step 8:

[1304] Based on the results of the emotion engine, the server updates the dialogue content of the generative AI model and provides appropriate information and feedback to the user.

[1305] Example 2

[1306] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1307] In modern society, opportunities to come into contact with cultural assets and traditional culture are limited due to regional and economic constraints, preventing many people from fully enjoying their value. Furthermore, traditional digital content has difficulty responding to individual user emotions, limiting the satisfaction and depth of the experience. Therefore, there is a need for methods to provide more interactive and personalized experiences and expand access to cultural assets and traditional culture.

[1308] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1309] In this invention, the server includes a means for transmitting a request for a user to participate in a virtual tour, a means for the server to generate a virtual tour using a generative AI model, and a means for the server to recognize the user's emotions using an emotion engine and adjust the dialogue based on the results. This expands opportunities for many people to experience cultural assets and traditional culture beyond regional and economic constraints, and further makes it possible to provide a customized interactive experience according to the user's emotions.

[1310] "User" means any individual or organization that uses the System to participate in a virtual tour, digital exhibition, or online workshop.

[1311] A "server" is a computer system that receives requests from users and generates and provides digital content using generative AI models and emotion engines.

[1312] A "virtual tour" is a service that allows users to access and virtually tour cultural properties and tourist attractions from a remote location through digital content.

[1313] A "generative AI model" is an artificial intelligence model that uses natural language processing and machine learning to interact with users and generate digital content.

[1314] An "emotion engine" is software or hardware that recognizes emotions from data such as a user's facial expressions, voice, and text, and adjusts the system's response based on the results.

[1315] A "digital exhibition" is an event where users can view cultural assets and artworks online using digital content such as high-definition images and three-dimensional models.

[1316] "Online Workshops" are online seminars and training sessions that allow users to deepen their learning in real time using generative AI models and emotion engines.

[1317] "Digital content" is information stored in digital form and shared online, such as video, images, text, and 3D models.

[1318] A "terminal" is an electronic device such as a computer, tablet, or smartphone that allows a user to access the system and view digital content.

[1319] "Link" means a URL or other means by which a user accesses a virtual tour, digital exhibition, or online workshop, or is a gateway to the digital content being accessed.

[1320] This invention uses a system that combines a generative AI model and an emotion engine to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties. Furthermore, by incorporating a function that recognizes user emotions and customizes the experience individually, it achieves a more interactive and satisfying experience.

[1321] overview

[1322] The system provides the following main functions:

[1323] 1. Providing virtual tours

[1324] 2. Hosting a digital exhibition

[1325] 3. Conducting online workshops

[1326] 4. Sharing digital content of cultural assets

[1327] Hardware and software used

[1328] Server: A server computer that processes requests, runs generative AI models, controls the emotion engine, and delivers digital content.

[1329] Device: The electronic device used by a user, such as a computer, tablet, or smartphone.

[1330] Generative AI models: Machine learning models that perform natural language processing (e.g., GPT-4).

[1331] Emotion engine: Software that recognizes a user's emotions and generates an appropriate response (e.g., an emotion recognition API).

[1332] Digital content: Digital data such as high-definition images, 3D models, videos, and text.

[1333] Providing virtual tours

[1334] The server uses the generative AI model and emotion engine to generate a virtual tour that the user can access. When a user sends a request to participate in a virtual tour from their device, the server receives the request and provides the user with a link to the corresponding virtual tour. The user can join the virtual tour by clicking the link and interact with the generative AI model. For example, if a user selects a virtual tour of the Great Buddha of Nara, they can join the tour by clicking the link generated by the server. During the tour, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the dialogue based on the results.

[1335] Example prompt:

[1336] User: "I'd like to take a virtual tour of the Great Buddha of Nara."

[1337] Server: "Your request has been received. Click the link below to join."

[1338] Holding a digital exhibition

[1339] The server prepares high-resolution images and 3D models of cultural assets and creates exhibition content that integrates the generative AI model and emotion engine. When users access the exhibition, they can enjoy detailed explanations and interactive experiences on their devices. For example, when a user participates in a digital exhibition of ukiyo-e, the server sends high-resolution images and 3D models to their device, and an explanation based on these is provided. When viewing the exhibits, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the explanation based on that information.

[1340] Example prompt:

[1341] User: "I'd like to see a digital exhibition of ukiyo-e prints."

[1342] Server: "Here's the link to access the exhibition."

[1343] Online workshops

[1344] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send a request to participate in a workshop from their device and receive a participation link. During the workshop, the generative AI model answers the user's questions in real time, and the emotion engine recognizes the user's emotions and adjusts the response accordingly. For example, for a user participating in an online tea ceremony workshop, the generative AI model provides detailed explanations, and the emotion engine recognizes the user's emotions and adjusts the tone of the dialogue accordingly.

[1345] Example prompt:

[1346] User: "I'd like to take an online tea ceremony workshop."

[1347] Server: "Please join the workshop at the link below."

[1348] Sharing digital content of cultural assets

[1349] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using the generative AI model and emotion engine. For example, if a user accesses the digital collection of the National Treasure Museum and enters a comment about a specific cultural property, the generative AI model will display related information and comments from other users. The emotion engine will recognize the user's emotions and adjust the displayed content and comment feedback accordingly.

[1350] Example prompt:

[1351] User: "I'd like to see the National Treasure Museum's digital collection."

[1352] Server: "Please access from the link below."

[1353] The system aims to provide users with a more personalized cultural experience by utilizing generative AI models and an emotion engine. Through these interactive services, users can learn about cultural assets and traditional culture in a deeper and more moving way.

[1354] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1355] Providing virtual tours

[1356] Step 1:

[1357] The server receives a virtual tour request from a user.

[1358] Input: A user submits a virtual tour request from their device. A prompt such as "I would like to take a virtual tour of the Great Buddha of Nara."

[1359] Output: The server accepts the request and prepares it to be sent to the generative AI model.

[1360] Step 2:

[1361] The terminal sends the user's request to the server.

[1362] Input: The user clicks the request button on the device to send the request data.

[1363] Output: The request data is sent to the server.

[1364] Step 3:

[1365] The server uses the generative AI model to generate the content of the virtual tour.

[1366] Input: Request data sent from the device, such as a prompt to the generative AI model, such as "Please provide information about the Great Buddha of Nara."

[1367] Data processing: Using a generative AI model (e.g., GPT-4) to generate text, image links, and descriptions for a virtual tour based on the request.

[1368] Output: Get the virtual tour content (text, image links, description).

[1369] Step 4:

[1370] The server uses an emotion engine to recognize the user's emotions.

[1371] Input: Emotional data (facial expressions, tone of voice, etc.) collected from the user's camera and microphone.

[1372] Data processing: The emotion engine analyzes the collected data and recognizes the user's emotional state.

[1373] Output: Information about the user's emotional state.

[1374] Step 5:

[1375] The server sends a link to the virtual tour to the device.

[1376] Input: Virtual tour content generated by a generative AI model and user emotion information generated by an emotion engine.

[1377] Data processing: The link generation system generates virtual tour links and adjusts the message according to the user's emotions.

[1378] Output: Sends a virtual tour link to the device, with a message such as "Your request has been received. Click the link below to join."

[1379] Step 6:

[1380] User clicks on the virtual tour link to join.

[1381] Input: User clicks on a link on their device.

[1382] Output: Start of virtual tour.

[1383] Step 7:

[1384] The server transmits the tour data to the terminal.

[1385] Input: The information the user clicked on the link.

[1386] Data processing: The generated virtual tour data is packetized and prepared for transmission.

[1387] Output: Sending tour data.

[1388] Step 8:

[1389] The device renders and displays the tour data.

[1390] Input: Tour data sent from the server.

[1391] Data processing: Rendering tour data (displaying text, loading image links, manipulating 3D models).

[1392] Output: The virtual tour is displayed on the user's screen.

[1393] Step 9:

[1394] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the dialogue content.

[1395] Input: User emotional data (real-time facial expressions, tone of voice, etc.) and interaction data during the virtual tour.

[1396] Data processing: The emotion engine analyzes the user's emotions and provides feedback to the generative AI model, which then adapts the dialogue content based on the user's emotions.

[1397] Output: Providing tailored dialogue, such as "Are you impressed? This Buddha is 15 meters tall."

[1398] Holding a digital exhibition

[1399] Step 1:

[1400] The server prepares high-resolution images and 3D models.

[1401] Input: Theme and content requirements for your digital exhibition.

[1402] Data processing: High-resolution images and 3D models are retrieved from the database and then organized and formatted for the exhibition.

[1403] Output: Exhibition content setup.

[1404] Step 2:

[1405] The server creates exhibition content by integrating generative AI models and emotion engines.

[1406] Input: exhibition content (high-definition images and 3D models), generative AI model, emotion engine.

[1407] Data processing: Synthesize content using generative AI models and emotion engines to generate interactive commentary.

[1408] Output: Finished exhibition content.

[1409] Step 3:

[1410] A user visits a trade show link.

[1411] Input: User clicks on a trade show link on their device.

[1412] Output: A request for access to the exhibition.

[1413] Step 4:

[1414] The server sends the exhibition data to the terminal.

[1415] Input: The user's access request.

[1416] Data processing: Packetization process for sending exhibition data to the terminal.

[1417] Output: Sending exhibition data.

[1418] Step 5:

[1419] The terminal renders the exhibition data and displays it to the user.

[1420] Input: Exhibition data sent from the server.

[1421] Data processing: Rendering of exhibition data (displaying high-resolution images and 3D models).

[1422] Output: An interactive exhibition displayed on the user's device.

[1423] Step 6:

[1424] The emotion engine recognizes the user's emotions, and the generative AI model adjusts the commentary content.

[1425] Input: User emotional data (real-time facial expressions, tone of voice, etc.) and interaction data during the exhibition.

[1426] Data processing: The emotion engine analyzes the user's emotions and provides feedback to the generative AI model, which then adapts the commentary content based on the user's emotions.

[1427] Output: Providing tailored commentary, for example, "This ukiyo-e is a masterpiece from the Edo period. Does it interest you?"

[1428] Online workshops

[1429] Step 1:

[1430] The server manages the schedule and content of the online workshop.

[1431] Input: Workshop topic, date and time, and participant information.

[1432] Data processing: Schedule setting and content preparation.

[1433] Output: Managed schedule and content.

[1434] Step 2:

[1435] A user submits a workshop request and receives a link to join.

[1436] Input: User's join request.

[1437] Data processing: The server receives the request and generates a join link.

[1438] Output: Send join link to user.

[1439] Step 3:

[1440] The user will join at the specified date and time.

[1441] Input: The user clicks the join link on their device and joins the workshop at the specified time.

[1442] Output: Start of workshop.

[1443] Step 4:

[1444] A generative AI model provides detailed explanations, and an emotion engine recognizes the user's emotions.

[1445] Input: Workshop content, user emotional data (real-time facial expressions, tone of voice, etc.).

[1446] Data processing: A generative AI model provides explanations based on the content, and an emotion engine analyzes the user's emotions.

[1447] Output: Providing tailored dialogue, such as "It seems you're having trouble making tea. Do you have any other questions?"

[1448] (Application example 2)

[1449] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1450] In providing digital content to make cultural assets and traditional culture accessible to a wider range of people, conventional systems have had difficulty adjusting dialogue and services based on the user's individual emotions and reactions. Furthermore, providing real-time question-and-answer and interactive experiences related to cultural assets requires a higher level of responsiveness and personalization. By resolving these challenges, it is necessary to further enrich the user experience and improve satisfaction.

[1451] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1452] In this invention, the server includes means for providing virtual tours, means for holding digital exhibitions, means for conducting online workshops, means for sharing digital content of cultural properties, means for dialogue using a generative AI model, means for combining an emotion engine that recognizes user emotions, and means for adjusting dialogue content and commentary based on the emotions. This allows for the dialogue to be adjusted in real time based on the user's emotions and questions, enabling a more interactive and personalized experience of cultural properties and traditional culture.

[1453] "Means for providing virtual tours" refers to a system that allows users to experience cultural assets and exhibits in a virtual space via the Internet.

[1454] "Means for holding digital exhibitions" refers to a system that uses digital technology to enable users to view exhibitions online through high-definition images and 3D models.

[1455] "Means for conducting online workshops" refers to a mechanism for providing workshops in which users can participate in real time via the Internet and receive guidance from experts and generative AI models.

[1456] "A means for sharing digital content of cultural assets" is a platform that allows users to share and access digital content such as videos, images, and text related to cultural assets via the Internet.

[1457] A "dialogue means using a generative AI model" is a system that uses advanced AI technology to automatically generate dialogue based on input from the user.

[1458] "Means that combine an emotion engine that recognizes the user's emotions" is a system that combines technology that recognizes emotions by analyzing the user's facial expressions, tone of voice, etc.

[1459] "Means for adjusting dialogue content and commentary based on emotions" refers to a mechanism that flexibly adjusts the dialogue content and commentary provided by the generative AI model according to the user's emotional state recognized by the emotion engine.

[1460] This invention combines a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties, with an emotion engine that recognizes user emotions, further enriching the user experience and enabling interactions and services tailored to individual needs.

[1461] System configuration

[1462] The server has the following main features:

[1463] 1. Means of providing virtual tours: Allows users to experience cultural assets and exhibits in a virtual space.

[1464] 2. Means of holding digital exhibitions: Using digital technology to provide online exhibitions through high-definition images and 3D models.

[1465] 3. Means of conducting online workshops: Providing workshops where users can participate in real time and receive guidance from experts and generative AI models.

[1466] 4. Means for sharing digital content of cultural heritage: Providing a platform that allows users to share and access digital content such as videos, images, and texts related to cultural heritage.

[1467] 5. Dialogue using generative AI models: A system that automatically generates dialogue based on user input is used.

[1468] 6. A method that combines an emotion engine that recognizes the user's emotions: A system that combines technology that recognizes emotions by analyzing the user's facial expressions, tone of voice, etc. is used.

[1469] 7. A means to adjust dialogue content and commentary based on emotions: A mechanism is used to adjust the dialogue content and commentary provided by the generative AI model according to the user's emotional state recognized by the emotion engine.

[1470] Main processing flow

[1471] 1. Providing virtual tours

[1472] The server uses the generative AI model and emotion engine to generate and provide a virtual tour that users can access. In response to a request from the device, the server sends a link to the virtual tour to the user. When the user clicks the link to start the virtual tour, the emotion engine recognizes the user's emotion, and the generative AI model adjusts the dialogue content based on that emotion.

[1473] 2. Hosting a digital exhibition

[1474] The server prepares high-resolution images and 3D models of cultural properties, and provides digital content including these, enhanced with a generative AI model and emotion engine. When users access the exhibition, they can enjoy detailed explanations and interactive experiences on their devices. The emotion engine recognizes the user's emotions, and the generative AI model adjusts the storytelling and explanations accordingly.

[1475] 3. Conducting online workshops

[1476] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the response.

[1477] Hardware and software used

[1478] Hardware: Smartphones, smart glasses, head-mounted displays, cameras, high-performance PCs, cloud servers

[1479] Software: Emotion engine (facial expression recognition library), generative AI model (GPT-based natural language processing model)

[1480] Specific examples

[1481] When a user accesses a virtual art gallery using a smartphone and enjoys emotional guidance while viewing the exhibits, the emotion engine recognizes the emotion and the generative AI model adjusts the dialogue content.

[1482] Example prompt sentence:

[1483] User: What is this picture of?

[1484] Generative AI model: This is a famous painting. The artist intended it to depict the horrors of war. How does this painting make you feel?

[1485] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1486] Step 1:

[1487] A user sends a request to participate in a virtual tour from a terminal.

[1488] Input: User request data (Virtual tour selection)

[1489] Output: The request is sent to the server.

[1490] Operation: The device sends a request for the user's selected virtual tour to the server, including the name of the tour selected by the user and other necessary information.

[1491] Step 2:

[1492] The server receives the request, generates a virtual tour link, and sends it to the device.

[1493] Input: User request data

[1494] Output: Virtual tour link

[1495] Operation: Based on the received request, the server generates the appropriate virtual tour link and sends the link to the device.

[1496] Step 3:

[1497] The user clicks on the virtual tour link on their device to start the tour.

[1498] Input: Virtual tour link

[1499] Output: The virtual tour begins.

[1500] How it works: The device starts a virtual tour based on the link the user clicks, allowing the user to visually experience the tour.

[1501] Step 4:

[1502] The device uses a camera to capture the user's facial expressions, which are then analyzed by the emotion engine.

[1503] Input: User's face image

[1504] Output: User emotion data

[1505] How it works: The device captures a user's facial image through the camera and sends the image data to the emotion engine, which analyzes the user's facial expressions and identifies their current emotional state.

[1506] Step 5:

[1507] The emotion engine sends the user's emotion data to the server, and the generative AI model receives it and generates the dialogue content.

[1508] Input: User emotion data

[1509] Output: Emotion-based dialogue

[1510] How it works: The emotion engine sends the analyzed emotion data to the server, where the generative AI model generates appropriate dialogue based on this data.

[1511] Step 6:

[1512] The server transmits the generated dialogue content to the terminal, which then displays the dialogue content to the user.

[1513] Input: Dialogue content generated by the generative AI model

[1514] Output: Displaying the dialogue to the user

[1515] Operation: The server sends the generated dialogue content to the terminal, which displays it to the user, enriching the user's experience.

[1516] Step 7:

[1517] The user inputs a new question or comment from the terminal and sends it to the server.

[1518] Input: User questions and comments

[1519] Output: New request data sent to the server

[1520] How it works: The user enters new questions or comments during the virtual tour, and the device sends them to the server.

[1521] Step 8:

[1522] The server processes the user's questions and comments through a generative AI model to generate appropriate answers.

[1523] Input: User questions and comments

[1524] Output: Answer from the generative AI model

[1525] How it works: The server receives user questions and comments and sends them to the generative AI model, which then generates an appropriate answer.

[1526] Step 9:

[1527] The server sends the generated answer to the terminal, which displays the answer to the user.

[1528] Input: Generated response data

[1529] Output: Display the answer to the user

[1530] Operation: The server sends the answer generated by the generative AI model to the device, which then displays the answer to the user and continues the dialogue.

[1531] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1532] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1533] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1534] [Fourth embodiment]

[1535] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1536] 7, a 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.

[1537] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1538] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1539] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1540] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1541] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1542] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1543] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1544] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1545] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1546] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1547] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1548] overview

[1549] This invention is a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties. This will provide opportunities to experience cultural properties and traditional culture beyond regional and economic constraints, narrowing cultural gaps, resolving the lack of traditional cultural inheritors, and promoting the international dissemination of Japanese culture.

[1550] Providing virtual tours

[1551] The server uses the generative AI model to generate a virtual tour that the user can access. When a user sends a request to join a virtual tour from their device, the server receives the request and provides the user with a link to the virtual tour. When the user clicks the link, they can join the virtual tour and interact with the generative AI model. As a specific example, a user selects a virtual tour of the Great Buddha of Nara, and their device sends a request to the server, obtains the tour link, and joins.

[1552] Holding a digital exhibition

[1553] The server prepares high-resolution images and 3D models of cultural assets and creates content incorporating storytelling using generative AI models. When users access an exhibition, they can enjoy detailed explanations and interactive experiences on their devices. For example, a user can access a digital exhibition of ukiyo-e prints, and their device can retrieve and display the exhibition's digital content from the server.

[1554] Online workshops

[1555] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, users can interact with the generative AI model in real time to deepen their learning. For example, a user can register for an online tea ceremony workshop and participate at a specified date and time.

[1556] Sharing digital content of cultural assets

[1557] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using the generative AI model. Specifically, when a user accesses the National Treasure Museum's digital collection and enters a comment about a specific cultural property, the generative AI model displays related information and comments from other users.

[1558] Program processing overview

[1559] The server receives requests from users and provides cultural property data and dialogue data from the generative AI model. The device renders the provided data and provides an interactive interface to the user. Through each service, users can interact with the generative AI model and learn about cultural properties and traditional culture in real time.

[1560] This system will transcend regional and economic constraints, expanding opportunities for many people to come into contact with cultural assets and traditional culture, narrowing cultural gaps, and promoting the preservation and international dissemination of Japanese culture.

[1561] The processing flow will be explained below.

[1562] Providing virtual tours

[1563] Step 1:

[1564] A user selects a virtual tour of interest on a website.

[1565] Step 2:

[1566] The terminal sends a request for the selected virtual tour to the server.

[1567] Step 3:

[1568] The server receives the request and generates the corresponding data for the virtual tour (3D model, video, audio, AI dialogue model).

[1569] Step 4:

[1570] The server sends a link to the generated data back to the device.

[1571] Step 5:

[1572] The user clicks on the link they receive and takes part in the virtual tour.

[1573] Step 6:

[1574] The device renders the data for the virtual tour and displays the interface.

[1575] Step 7:

[1576] Users can type in questions during the tour and a generative AI model will provide answers in real time.

[1577] Holding a digital exhibition

[1578] Step 1:

[1579] The server prepares the high-definition images and 3D models needed for the digital exhibition, as well as generative AI models for storytelling.

[1580] Step 2:

[1581] A user visits a digital exhibition link.

[1582] Step 3:

[1583] The terminal sends the corresponding request to the server.

[1584] Step 4:

[1585] The server transmits the exhibition data to the terminal in response to the request.

[1586] Step 5:

[1587] The terminal displays the data and provides the user with an interface that allows for an interactive experience.

[1588] Step 6:

[1589] As users browse exhibits and click on details, the generative AI model provides storytelling information.

[1590] Online workshops

[1591] Step 1:

[1592] A user visits the online workshop page and fills in the required information in the registration form.

[1593] Step 2:

[1594] The terminal transmits the user's registration information to the server.

[1595] Step 3:

[1596] The server prepares links and generative AI models for online workshops based on registration information and manages schedule information.

[1597] Step 4:

[1598] The server sends a registration completion notification and a participation link to the device.

[1599] Step 5:

[1600] The user clicks on the link at the designated date and time to join the online workshop.

[1601] Step 6:

[1602] The device provides an interactive interface between the video stream and the generative AI model.

[1603] Step 7:

[1604] Users enter questions during the workshop and the generative AI model provides answers in real time.

[1605] Sharing digital content of cultural assets

[1606] Step 1:

[1607] The server collects and manages digital content such as videos and texts related to cultural assets.

[1608] Step 2:

[1609] The server provides a platform for sharing digital content.

[1610] Step 3:

[1611] A user accesses the platform and selects the cultural property content of interest.

[1612] Step 4:

[1613] The terminal sends the user's request to the server.

[1614] Step 5:

[1615] The server transmits the corresponding digital content to the terminal.

[1616] Step 6:

[1617] The terminal displays the data and allows the user to have an interactive experience.

[1618] Step 7:

[1619] When a user enters a comment about content, the generative AI model displays related information and comments from other users.

[1620] Example 1

[1621] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1622] Due to regional and economic constraints, many people have limited opportunities to come into contact with cultural assets and traditional culture. Furthermore, conventional digital content delivery systems make it difficult to provide interactive experiences that deepen learning through dialogue with users. It is necessary to resolve these issues and promote the preservation and international dissemination of Japanese culture.

[1623] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1624] In this invention, the server includes means for accepting requests from users, means for analyzing request data, means for calling a corresponding generative AI model, means for generating content, means for providing the generated content to the user, means for rendering an interactive interface on the terminal, means for the user to interact with the generative AI model, and means for collecting feedback, thereby enabling the user to interact with the generative AI model in real time and learn more about cultural assets and traditional culture.

[1625] "Users" are people who use this system to obtain information about cultural assets and traditional culture and experience the service.

[1626] A "server" is a device or system that receives and processes requests from users, generates content using generative AI models, and provides it to users.

[1627] A "Request" is a request made by a User to use a Service, such as a virtual tour, digital exhibition, or online workshop.

[1628] "Request data" refers to data containing the content of a request sent by a user.

[1629] A "generative AI model" is a model that uses artificial intelligence technology to generate content and interact with users.

[1630] "Content" refers to the digital information generated by the generative AI model for virtual tours, digital exhibitions, and online workshops.

[1631] An "interactive interface" is an operating screen that allows users to deepen their learning by interacting with the system in real time.

[1632] "Feedback" refers to information such as impressions and opinions provided by users after using a service.

[1633] MODE FOR CARRYING OUT THE INVENTION

[1634] overview

[1635] This invention is a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, online workshops, and to share digital content of cultural properties. This system provides opportunities to experience cultural properties and traditional culture beyond regional and economic constraints.

[1636] Hardware and software used

[1637] The system uses the following hardware and software:

[1638] Server: Accepts requests, analyzes data, calls generative AI models, and generates and provides content. The hardware used can be a general server device. Python is used for the software, and Flask is used as the web framework.

[1639] Device: Serves as the user interface, rendering received content and interacting with the user. Devices include PCs, smartphones, tablets, etc. It uses a web browser and JavaScript library (e.g., Three.js).

[1640] Generative AI model: Generates cultural property information and interacts with users. Uses TensorFlow or PyTorch as a deep learning model.

[1641] Program processing

[1642] The server analyzes the user's request and calls the generative AI model to generate the required content. Specifically, the user enters a text prompt, and the generative AI model generates the content of a virtual tour, digital exhibition, or online workshop in real time. The generated content is sent from the server to the device and rendered on the device.

[1643] Specific examples

[1644] Providing virtual tours

[1645] The server uses the generative AI model to generate a virtual tour that the user can access. For example, if a user enters a prompt such as "I would like to start a virtual tour of the Great Buddha of Nara," the server analyzes the request and invokes the generative AI model to generate a virtual tour based on information about the Great Buddha of Nara. The server then provides the user with a link to the generated tour, and when the user clicks the link, the virtual tour is rendered on the device.

[1646] Holding a digital exhibition

[1647] The server uses high-resolution images and 3D models to create digital exhibition content incorporating storytelling using generative AI models. For example, if a user requests, "I would like to enter a digital exhibition of ukiyo-e," the server analyzes the request, creates digital content related to ukiyo-e using generative AI models, and sends it to the device. Users can then enjoy the interactive exhibition on their devices.

[1648] Online workshops

[1649] The server manages the schedule and content of the workshop and provides a mechanism for question-answering and dialogue using a generative AI model. For example, if a user requests to "participate in an online tea ceremony workshop" and participates at the specified date and time, the server will use the generative AI model to respond to questions from the user in real time and engage in dialogue.

[1650] summary

[1651] This system provides a new experience where users can learn about cultural assets and traditional culture in real time while interacting with a generative AI model. By combining a server, terminal, and generative AI model, it becomes possible to provide digital content that transcends regional and economic constraints.

[1652] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1653] Step 1:

[1654] A user uses a terminal to make a request to participate in a specific service (a virtual tour, a digital exhibition, an online workshop). For example, the user inputs a prompt statement such as "I would like to start a virtual tour of the Great Buddha of Nara" and submits the request. This input prompt statement is sent to the server.

[1655] Step 2:

[1656] The server receives the request data from the user and analyzes it. Specifically, it receives the request content in JSON format and extracts the request type (virtual tour, digital exhibition, online workshop) and subject (e.g., the Great Buddha of Nara). This analysis identifies the generative AI model and data required for the next step.

[1657] Step 3:

[1658] The server calls the corresponding generative AI model based on the analysis results. It loads the generative AI model using TensorFlow, PyTorch, or other tools in a Python environment and provides the request data as input to the model. This data calculation generates the initial content to be provided to the user. For example, related information and a 3D model for a "virtual tour of the Great Buddha of Nara" are generated.

[1659] Step 4:

[1660] The server further processes the generated content using the generative AI model. Specifically, it combines the generated 3D models, high-resolution images, and storytelling to create digital content for users. This processed data is then converted into a format that can be delivered to users.

[1661] Step 5:

[1662] The server then sends the completed digital content to the user's device. Specifically, it creates a URL link for the generated content and returns a response containing that link to the user. This allows the user to access a virtual tour or similar content simply by clicking the link on their device.

[1663] Step 6:

[1664] The device then renders the digital content received from the server, using HTML5, JavaScript (e.g., Three.js), and CSS to display the 3D model and explanatory content on the screen in real time, allowing users to enjoy the visual experience of the virtual tour.

[1665] Step 7:

[1666] The user interacts with the generative AI model through an interactive interface on their device. For example, if the user inputs a question such as "Why was this Great Buddha built?", the question is sent to the server. The server then calls the generative AI model again, generates an answer to the user's question, and returns it to the device. This allows the user to deepen their learning interactively.

[1667] Step 8:

[1668] The server collects user feedback and interaction data, such as the content of the user's questions, viewing time, and ratings of the answers provided, and stores this data in a database. This data is used to improve the system and develop new content.

[1669] (Application example 1)

[1670] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1671] It is desirable to eliminate the current situation where opportunities to experience cultural assets and traditional culture are limited due to regional and economic constraints, and to narrow the cultural gap. Furthermore, conventional methods of providing digital content lack real-time dialogue and interactive experiences, and there is a need to improve user satisfaction. Therefore, a more effective digital content sharing system is needed to promote Japanese culture internationally and resolve the lack of successors of traditional culture.

[1672] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1673] In this invention, the server includes means for providing a virtual tour, means for holding a digital exhibition, means for conducting an online workshop, means for operating on a smartphone, means for providing an interactive interface, and means for interacting using a generative AI model, thereby enabling a user to learn about cultural assets and traditional culture while interacting with the generative AI model in real time via their smartphone.

[1674] A "virtual tour" is a service that allows you to view cultural assets and tourist attractions in a virtual space.

[1675] A "digital exhibition" is an event in which exhibits based on a specific theme are made available online using digital content.

[1676] An "online workshop" is an educational session or course conducted in real time over the Internet.

[1677] "Digital content of cultural assets" refers to digital data such as high-resolution images, 3D models, videos, and documents related to cultural assets.

[1678] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to answer user questions in real time.

[1679] An "interaction means" is a system that enables two-way communication between the user and the generative AI model.

[1680] "Means operating on a smartphone" refers to a method or process that functions as a smartphone application.

[1681] An "interactive interface" is a user interface that allows the user to directly operate the interface and receive feedback in real time.

[1682] overview

[1683] This invention is a system that uses generative AI models to provide virtual tours, digital exhibitions, and online workshops of cultural assets and traditional culture. This system runs on smartphones and can provide information and dialogue to users in real time through an interactive interface.

[1684] System Configuration

[1685] Hardware and Software Use

[1686] Server: Used to manage digital content and run dialogue systems using generative AI models. Primarily uses web application frameworks such as Flask.

[1687] Device: This refers to the smartphone (iPhone or Android device) used by the user. The service is accessed through a browser or a dedicated app.

[1688] Generative AI model: Using OpenAI's GPT-3 and other models, answers user questions in real time.

[1689] Feature details

[1690] Virtual Tour

[1691] The server receives a request from the user to start a virtual tour and provides a tour link in cooperation with the generative AI model. When the user clicks the tour link on their smartphone, an interactive interface is displayed, with the generative AI model acting as a guide in real time.

[1692] For example, a user can start a tour with a prompt such as "Please tell me about the Great Buddha of Nara."

[1693] Digital Exhibition

[1694] The server manages the content for the digital exhibition (high-definition images and 3D models) and provides detailed explanations when accessed by users. The generative AI model provides additional information in response to user questions.

[1695] For example, you can use prompts such as, "Tell me about the history of ukiyo-e and its representative works."

[1696] Online Workshop

[1697] The server manages the schedule and content of the online workshops and provides links for users to join, allowing them to interact with the generative AI model in real time and deepen their learning.

[1698] For example, you can join a workshop with a prompt such as, "Please tell me the overview of the online tea ceremony workshop and the procedure for participating."

[1699] Program processing overview

[1700] The server uses a web application framework such as Flask to receive requests from users. The generative AI model (OpenAI GPT-3) answers the user's questions according to prompts and provides the results to the user's smartphone via the server. This allows the user to enjoy an interactive experience on their smartphone.

[1701] Examples and prompts

[1702] Virtual Tour: "Please explain the Great Buddha of Nara"

[1703] Digital Exhibition: "Please tell us about the history of ukiyo-e and its representative works."

[1704] Online Workshop: "Please tell me the outline of the online tea ceremony workshop and how to participate."

[1705] By entering these prompts, users can obtain real-time commentary from the generative AI model, enabling a broader and deeper understanding of the appeal of cultural assets and traditional culture.

[1706] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1707] Step 1:

[1708] User submits a request

[1709] Users submit requests for virtual tours, digital exhibitions, or online workshops through a smartphone application, including specific prompts for the tour, exhibition, or workshop they want to participate in. For example, a user might enter a prompt such as, "Please explain the Great Buddha of Nara."

[1710] Step 2:

[1711] The device sends a request to the server

[1712] The device (smartphone) sends a request from the user to the server. The data sent includes the prompt text entered by the user and user information. This data is then processed appropriately on the server side and prepared to be passed to the generative AI model.

[1713] Step 3:

[1714] The server sends prompts to the generative AI model

[1715] The server analyzes the received user request and sends the prompt text to the generative AI model. This operation causes the generative AI model to process and calculate data based on the prompt text and generate an answer. Specifically, the server inputs the prompt text using OpenAI's GPT-3 API and receives the generated text.

[1716] Step 4:

[1717] Generative AI models generate answers

[1718] A generative AI model (e.g., OpenAI GPT-3) uses natural language processing to generate an appropriate response based on the prompt it receives. In this step, the algorithm in the model references a large amount of training data to construct an answer. The output is a detailed text response to the user's request.

[1719] Step 5:

[1720] The server sends the answer to the device

[1721] The server receives the answer from the generative AI model and sends it to the user's device. This operation is performed by converting it into a data format (e.g., JSON format) for display on the front end. The output answer text from the generative AI model is sent to the device.

[1722] Step 6:

[1723] The device renders the answer

[1724] The device analyzes the data received from the server and displays it as an interactive interface for the user. Specifically, generated text and images are displayed on the smartphone screen for the user to read.

[1725] Step 7:

[1726] Interactive user experience

[1727] The user experiences the virtual tour, digital exhibition, or online workshop based on the information displayed on the device. If the user has additional questions, they can enter the prompt again to issue a new request. The process is repeated from step 1.

[1728] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1729] overview

[1730] This invention combines a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties, with an emotion engine that recognizes user emotions, further enriching the user experience and enabling interactions and services tailored to individual needs.

[1731] Providing virtual tours

[1732] The server uses the generative AI model and emotion engine to generate a virtual tour that the user can access. When a user sends a request to join a virtual tour from their device, the server receives the request and provides the user with a link to the virtual tour. When the user clicks the link, they can join the virtual tour and interact with the generative AI model. As a specific example, if a user selects a virtual tour of the Great Buddha of Nara, their device sends a request to the server, obtains the tour link, and joins. During the tour, the user's emotions are recognized by the emotion engine, and the generative AI model adjusts the dialogue based on the results.

[1733] Holding a digital exhibition

[1734] The server prepares high-resolution images and 3D models of cultural assets and creates content incorporating a generative AI model and emotion engine. When users access an exhibition, they can enjoy detailed explanations and an interactive experience on their device. For example, a user can access a digital exhibition of ukiyo-e prints, and their device can retrieve and display the exhibition's digital content from the server. As users view the exhibits, the generative AI model provides storytelling, while the emotion engine recognizes the user's reactions and adjusts the explanation and response as needed.

[1735] Online workshops

[1736] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, users can interact with the generative AI model in real time to deepen their learning. For example, a user registers for an online tea ceremony workshop and participates at a specified date and time. The generative AI model provides detailed explanations, and the emotion engine recognizes the user's emotions and adjusts the tone and content of the dialogue.

[1737] Sharing digital content of cultural assets

[1738] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using a generative AI model and emotion engine. For example, when a user accesses the digital collection of the National Museum of National Treasures and enters a comment about a specific cultural property, the generative AI model displays related information and comments from other users. The emotion engine recognizes the user's emotions and adjusts the displayed content and comment feedback.

[1739] Program processing overview

[1740] The server receives requests from users and provides cultural property data and dialogue data generated by the generative AI model and emotion engine. The device renders the provided data and provides an interactive interface to the user. Through each service, users can interact with the generative AI model and emotion engine and learn about cultural properties and traditional culture in real time. The emotion engine recognizes the user's emotional state and adjusts the experience based on the results.

[1741] This system will transcend regional and economic constraints, expanding opportunities for many people to come into contact with cultural assets and traditional culture, narrowing cultural gaps and promoting the preservation and international dissemination of Japanese culture.The combination of an emotion engine will make the user experience more personalized and increase satisfaction.

[1742] The processing flow will be explained below.

[1743] Providing virtual tours

[1744] Step 1:

[1745] A user selects a virtual tour of interest on a website.

[1746] Step 2:

[1747] The terminal sends a request for the selected virtual tour to the server.

[1748] Step 3:

[1749] The server receives the request and generates the corresponding data for the virtual tour (3D model, video, audio, AI dialogue model).

[1750] Step 4:

[1751] The server sends a link to the generated data back to the device.

[1752] Step 5:

[1753] The user clicks on the link they receive and takes part in the virtual tour.

[1754] Step 6:

[1755] The device renders the data for the virtual tour and displays the interface.

[1756] Step 7:

[1757] Users can enter questions during the tour, and a generative AI model provides answers in real time, while an emotion engine analyzes the user's facial expressions and tone to recognize their emotional state.

[1758] Step 8:

[1759] The server adjusts the dialogue content of the generative AI model based on the results of the emotion engine, changing the tone and content as needed.

[1760] Holding a digital exhibition

[1761] Step 1:

[1762] The server prepares the high-definition images and 3D models needed for the digital exhibition, as well as generative AI models for storytelling.

[1763] Step 2:

[1764] A user visits a digital exhibition link.

[1765] Step 3:

[1766] The terminal sends the corresponding request to the server.

[1767] Step 4:

[1768] The server transmits the exhibition data to the terminal in response to the request.

[1769] Step 5:

[1770] The terminal displays the data and provides the user with an interface that allows for an interactive experience.

[1771] Step 6:

[1772] When users browse exhibits and click on details, the generative AI model provides storytelling information, while the emotion engine recognizes users' reactions and sends that information to the server.

[1773] Step 7:

[1774] Based on the results of the emotion engine, the server adjusts the dialogue content of the generative AI model and changes the explanations and responses.

[1775] Online workshops

[1776] Step 1:

[1777] A user visits the online workshop page and fills in the required information in the registration form.

[1778] Step 2:

[1779] The terminal transmits the user's registration information to the server.

[1780] Step 3:

[1781] The server prepares links and generative AI models for online workshops based on registration information and manages schedule information.

[1782] Step 4:

[1783] The server sends a registration completion notification and a participation link to the device.

[1784] Step 5:

[1785] The user clicks on the link at the designated date and time to join the online workshop.

[1786] Step 6:

[1787] The device provides an interactive interface between the video stream and the generative AI model.

[1788] Step 7:

[1789] Users can input questions during the workshop, and the generative AI model will provide answers in real time. The emotion engine will analyze the user's facial expressions and tone to recognize their emotional state.

[1790] Step 8:

[1791] The server adjusts the dialogue content of the generative AI model based on the results of the emotion engine, changing the tone and content as needed.

[1792] Sharing digital content of cultural assets

[1793] Step 1:

[1794] The server collects and manages digital content such as videos and texts related to cultural assets.

[1795] Step 2:

[1796] The server provides a platform for sharing digital content.

[1797] Step 3:

[1798] A user accesses the platform and selects the cultural property content of interest.

[1799] Step 4:

[1800] The terminal sends the user's request to the server.

[1801] Step 5:

[1802] The server transmits the corresponding digital content to the terminal.

[1803] Step 6:

[1804] The terminal displays the data and allows the user to have an interactive experience.

[1805] Step 7:

[1806] When users comment on content, a generative AI model displays related information and comments from other users. An emotion engine recognizes the user's emotions and adjusts the content and comment feedback accordingly.

[1807] Step 8:

[1808] Based on the results of the emotion engine, the server updates the dialogue content of the generative AI model and provides appropriate information and feedback to the user.

[1809] Example 2

[1810] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1811] In modern society, opportunities to come into contact with cultural assets and traditional culture are limited due to regional and economic constraints, preventing many people from fully enjoying their value. Furthermore, traditional digital content has difficulty responding to individual user emotions, limiting the satisfaction and depth of the experience. Therefore, there is a need for methods to provide more interactive and personalized experiences and expand access to cultural assets and traditional culture.

[1812] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1813] In this invention, the server includes a means for transmitting a request for a user to participate in a virtual tour, a means for the server to generate a virtual tour using a generative AI model, and a means for the server to recognize the user's emotions using an emotion engine and adjust the dialogue based on the results. This expands opportunities for many people to experience cultural assets and traditional culture beyond regional and economic constraints, and further makes it possible to provide a customized interactive experience according to the user's emotions.

[1814] "User" means any individual or organization that uses the System to participate in a virtual tour, digital exhibition, or online workshop.

[1815] A "server" is a computer system that receives requests from users and generates and provides digital content using generative AI models and emotion engines.

[1816] A "virtual tour" is a service that allows users to access and virtually tour cultural properties and tourist attractions from a remote location through digital content.

[1817] A "generative AI model" is an artificial intelligence model that uses natural language processing and machine learning to interact with users and generate digital content.

[1818] An "emotion engine" is software or hardware that recognizes emotions from data such as a user's facial expressions, voice, and text, and adjusts the system's response based on the results.

[1819] A "digital exhibition" is an event where users can view cultural assets and artworks online using digital content such as high-definition images and three-dimensional models.

[1820] "Online Workshops" are online seminars and training sessions that allow users to deepen their learning in real time using generative AI models and emotion engines.

[1821] "Digital content" is information stored in digital form and shared online, such as video, images, text, and 3D models.

[1822] A "terminal" is an electronic device such as a computer, tablet, or smartphone that allows a user to access the system and view digital content.

[1823] "Link" means a URL or other means by which a user accesses a virtual tour, digital exhibition, or online workshop, or is a gateway to the digital content being accessed.

[1824] This invention uses a system that combines a generative AI model and an emotion engine to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties. Furthermore, by incorporating a function that recognizes user emotions and customizes the experience individually, it achieves a more interactive and satisfying experience.

[1825] overview

[1826] The system provides the following main functions:

[1827] 1. Providing virtual tours

[1828] 2. Hosting a digital exhibition

[1829] 3. Conducting online workshops

[1830] 4. Sharing digital content of cultural assets

[1831] Hardware and software used

[1832] Server: A server computer that processes requests, runs generative AI models, controls the emotion engine, and delivers digital content.

[1833] Device: The electronic device used by a user, such as a computer, tablet, or smartphone.

[1834] Generative AI models: Machine learning models that perform natural language processing (e.g., GPT-4).

[1835] Emotion engine: Software that recognizes a user's emotions and generates an appropriate response (e.g., an emotion recognition API).

[1836] Digital content: Digital data such as high-definition images, 3D models, videos, and text.

[1837] Providing virtual tours

[1838] The server uses the generative AI model and emotion engine to generate a virtual tour that the user can access. When a user sends a request to participate in a virtual tour from their device, the server receives the request and provides the user with a link to the corresponding virtual tour. The user can join the virtual tour by clicking the link and interact with the generative AI model. For example, if a user selects a virtual tour of the Great Buddha of Nara, they can join the tour by clicking the link generated by the server. During the tour, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the dialogue based on the results.

[1839] Example prompt:

[1840] User: "I'd like to take a virtual tour of the Great Buddha of Nara."

[1841] Server: "Your request has been received. Click the link below to join."

[1842] Holding a digital exhibition

[1843] The server prepares high-resolution images and 3D models of cultural assets and creates exhibition content that integrates the generative AI model and emotion engine. When users access the exhibition, they can enjoy detailed explanations and interactive experiences on their devices. For example, when a user participates in a digital exhibition of ukiyo-e, the server sends high-resolution images and 3D models to their device, and an explanation based on these is provided. When viewing the exhibits, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the explanation based on that information.

[1844] Example prompt:

[1845] User: "I'd like to see a digital exhibition of ukiyo-e prints."

[1846] Server: "Here's the link to access the exhibition."

[1847] Online workshops

[1848] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send a request to participate in a workshop from their device and receive a participation link. During the workshop, the generative AI model answers the user's questions in real time, and the emotion engine recognizes the user's emotions and adjusts the response accordingly. For example, for a user participating in an online tea ceremony workshop, the generative AI model provides detailed explanations, and the emotion engine recognizes the user's emotions and adjusts the tone of the dialogue accordingly.

[1849] Example prompt:

[1850] User: "I'd like to take an online tea ceremony workshop."

[1851] Server: "Please join the workshop at the link below."

[1852] Sharing digital content of cultural assets

[1853] The server provides a platform for collecting, managing, and sharing digital content such as videos and texts related to cultural properties. Users can access the content through their devices and communicate with other participants using the generative AI model and emotion engine. For example, if a user accesses the digital collection of the National Treasure Museum and enters a comment about a specific cultural property, the generative AI model will display related information and comments from other users. The emotion engine will recognize the user's emotions and adjust the displayed content and comment feedback accordingly.

[1854] Example prompt:

[1855] User: "I'd like to see the National Treasure Museum's digital collection."

[1856] Server: "Please access from the link below."

[1857] The system aims to provide users with a more personalized cultural experience by utilizing generative AI models and an emotion engine. Through these interactive services, users can learn about cultural assets and traditional culture in a deeper and more moving way.

[1858] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1859] Providing virtual tours

[1860] Step 1:

[1861] The server receives a virtual tour request from a user.

[1862] Input: A user submits a virtual tour request from their device. A prompt such as "I would like to take a virtual tour of the Great Buddha of Nara."

[1863] Output: The server accepts the request and prepares it to be sent to the generative AI model.

[1864] Step 2:

[1865] The terminal sends the user's request to the server.

[1866] Input: The user clicks the request button on the device to send the request data.

[1867] Output: The request data is sent to the server.

[1868] Step 3:

[1869] The server uses the generative AI model to generate the content of the virtual tour.

[1870] Input: Request data sent from the device, such as a prompt to the generative AI model, such as "Please provide information about the Great Buddha of Nara."

[1871] Data processing: Using a generative AI model (e.g., GPT-4) to generate text, image links, and descriptions for a virtual tour based on the request.

[1872] Output: Get the virtual tour content (text, image links, description).

[1873] Step 4:

[1874] The server uses an emotion engine to recognize the user's emotions.

[1875] Input: Emotional data (facial expressions, tone of voice, etc.) collected from the user's camera and microphone.

[1876] Data processing: The emotion engine analyzes the collected data and recognizes the user's emotional state.

[1877] Output: Information about the user's emotional state.

[1878] Step 5:

[1879] The server sends a link to the virtual tour to the device.

[1880] Input: Virtual tour content generated by a generative AI model and user emotion information generated by an emotion engine.

[1881] Data processing: The link generation system generates virtual tour links and adjusts the message according to the user's emotions.

[1882] Output: Sends a virtual tour link to the device, with a message such as "Your request has been received. Click the link below to join."

[1883] Step 6:

[1884] User clicks on the virtual tour link to join.

[1885] Input: User clicks on a link on their device.

[1886] Output: Start of virtual tour.

[1887] Step 7:

[1888] The server transmits the tour data to the terminal.

[1889] Input: The information the user clicked on the link.

[1890] Data processing: The generated virtual tour data is packetized and prepared for transmission.

[1891] Output: Sending tour data.

[1892] Step 8:

[1893] The device renders and displays the tour data.

[1894] Input: Tour data sent from the server.

[1895] Data processing: Rendering tour data (displaying text, loading image links, manipulating 3D models).

[1896] Output: The virtual tour is displayed on the user's screen.

[1897] Step 9:

[1898] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the dialogue content.

[1899] Input: User emotional data (real-time facial expressions, tone of voice, etc.) and interaction data during the virtual tour.

[1900] Data processing: The emotion engine analyzes the user's emotions and provides feedback to the generative AI model, which then adapts the dialogue content based on the user's emotions.

[1901] Output: Providing tailored dialogue, such as "Are you impressed? This Buddha is 15 meters tall."

[1902] Holding a digital exhibition

[1903] Step 1:

[1904] The server prepares high-resolution images and 3D models.

[1905] Input: Theme and content requirements for your digital exhibition.

[1906] Data processing: High-resolution images and 3D models are retrieved from the database and then organized and formatted for the exhibition.

[1907] Output: Exhibition content setup.

[1908] Step 2:

[1909] The server creates exhibition content by integrating generative AI models and emotion engines.

[1910] Input: exhibition content (high-definition images and 3D models), generative AI model, emotion engine.

[1911] Data processing: Synthesize content using generative AI models and emotion engines to generate interactive commentary.

[1912] Output: Finished exhibition content.

[1913] Step 3:

[1914] A user visits a trade show link.

[1915] Input: User clicks on a trade show link on their device.

[1916] Output: A request for access to the exhibition.

[1917] Step 4:

[1918] The server sends the exhibition data to the terminal.

[1919] Input: The user's access request.

[1920] Data processing: Packetization process for sending exhibition data to the terminal.

[1921] Output: Sending exhibition data.

[1922] Step 5:

[1923] The terminal renders the exhibition data and displays it to the user.

[1924] Input: Exhibition data sent from the server.

[1925] Data processing: Rendering of exhibition data (displaying high-resolution images and 3D models).

[1926] Output: An interactive exhibition displayed on the user's device.

[1927] Step 6:

[1928] The emotion engine recognizes the user's emotions, and the generative AI model adjusts the commentary content.

[1929] Input: User emotional data (real-time facial expressions, tone of voice, etc.) and interaction data during the exhibition.

[1930] Data processing: The emotion engine analyzes the user's emotions and provides feedback to the generative AI model, which then adapts the commentary content based on the user's emotions.

[1931] Output: Providing tailored commentary, for example, "This ukiyo-e is a masterpiece from the Edo period. Does it interest you?"

[1932] Online workshops

[1933] Step 1:

[1934] The server manages the schedule and content of the online workshop.

[1935] Input: Workshop topic, date and time, and participant information.

[1936] Data processing: Schedule setting and content preparation.

[1937] Output: Managed schedule and content.

[1938] Step 2:

[1939] A user submits a workshop request and receives a link to join.

[1940] Input: User's join request.

[1941] Data processing: The server receives the request and generates a join link.

[1942] Output: Send join link to user.

[1943] Step 3:

[1944] The user will join at the specified date and time.

[1945] Input: The user clicks the join link on their device and joins the workshop at the specified time.

[1946] Output: Start of workshop.

[1947] Step 4:

[1948] A generative AI model provides detailed explanations, and an emotion engine recognizes the user's emotions.

[1949] Input: Workshop content, user emotional data (real-time facial expressions, tone of voice, etc.).

[1950] Data processing: A generative AI model provides explanations based on the content, and an emotion engine analyzes the user's emotions.

[1951] Output: Providing tailored dialogue, such as "It seems you're having trouble making tea. Do you have any other questions?"

[1952] (Application example 2)

[1953] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1954] In providing digital content to make cultural assets and traditional culture accessible to a wider range of people, conventional systems have had difficulty adjusting dialogue and services based on the user's individual emotions and reactions. Furthermore, providing real-time question-and-answer and interactive experiences related to cultural assets requires a higher level of responsiveness and personalization. By resolving these challenges, it is necessary to further enrich the user experience and improve satisfaction.

[1955] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1956] In this invention, the server includes means for providing virtual tours, means for holding digital exhibitions, means for conducting online workshops, means for sharing digital content of cultural properties, means for dialogue using a generative AI model, means for combining an emotion engine that recognizes user emotions, and means for adjusting dialogue content and commentary based on the emotions. This allows for the dialogue to be adjusted in real time based on the user's emotions and questions, enabling a more interactive and personalized experience of cultural properties and traditional culture.

[1957] "Means for providing virtual tours" refers to a system that allows users to experience cultural assets and exhibits in a virtual space via the Internet.

[1958] "Means for holding digital exhibitions" refers to a system that uses digital technology to enable users to view exhibitions online through high-definition images and 3D models.

[1959] "Means for conducting online workshops" refers to a mechanism for providing workshops in which users can participate in real time via the Internet and receive guidance from experts and generative AI models.

[1960] "A means for sharing digital content of cultural assets" is a platform that allows users to share and access digital content such as videos, images, and text related to cultural assets via the Internet.

[1961] A "dialogue means using a generative AI model" is a system that uses advanced AI technology to automatically generate dialogue based on input from the user.

[1962] "Means that combine an emotion engine that recognizes the user's emotions" is a system that combines technology that recognizes emotions by analyzing the user's facial expressions, tone of voice, etc.

[1963] "Means for adjusting dialogue content and commentary based on emotions" refers to a mechanism that flexibly adjusts the dialogue content and commentary provided by the generative AI model according to the user's emotional state recognized by the emotion engine.

[1964] This invention combines a system that uses generative AI models to provide virtual tours of cultural properties, digital exhibitions, and online workshops, and to share digital content of cultural properties, with an emotion engine that recognizes user emotions, further enriching the user experience and enabling interactions and services tailored to individual needs.

[1965] System configuration

[1966] The server has the following main features:

[1967] 1. Means of providing virtual tours: Allows users to experience cultural assets and exhibits in a virtual space.

[1968] 2. Means of holding digital exhibitions: Using digital technology to provide online exhibitions through high-definition images and 3D models.

[1969] 3. Means of conducting online workshops: Providing workshops where users can participate in real time and receive guidance from experts and generative AI models.

[1970] 4. Means for sharing digital content of cultural heritage: Providing a platform that allows users to share and access digital content such as videos, images, and texts related to cultural heritage.

[1971] 5. Dialogue using generative AI models: A system that automatically generates dialogue based on user input is used.

[1972] 6. A method that combines an emotion engine that recognizes the user's emotions: A system that combines technology that recognizes emotions by analyzing the user's facial expressions, tone of voice, etc. is used.

[1973] 7. A means to adjust dialogue content and commentary based on emotions: A mechanism is used to adjust the dialogue content and commentary provided by the generative AI model according to the user's emotional state recognized by the emotion engine.

[1974] Main processing flow

[1975] 1. Providing virtual tours

[1976] The server uses the generative AI model and emotion engine to generate and provide a virtual tour that users can access. In response to a request from the device, the server sends a link to the virtual tour to the user. When the user clicks the link to start the virtual tour, the emotion engine recognizes the user's emotion, and the generative AI model adjusts the dialogue content based on that emotion.

[1977] 2. Hosting a digital exhibition

[1978] The server prepares high-resolution images and 3D models of cultural properties, and provides digital content including these, enhanced with a generative AI model and emotion engine. When users access the exhibition, they can enjoy detailed explanations and interactive experiences on their devices. The emotion engine recognizes the user's emotions, and the generative AI model adjusts the storytelling and explanations accordingly.

[1979] 3. Conducting online workshops

[1980] The server manages the schedule and content of online workshops and provides a mechanism for question-answering and dialogue using a generative AI model and emotion engine. Users send workshop requests from their devices and receive a link to participate in the workshop. During participation, the emotion engine recognizes the user's emotions, and the generative AI model adjusts the response.

[1981] Hardware and software used

[1982] Hardware: Smartphones, smart glasses, head-mounted displays, cameras, high-performance PCs, cloud servers

[1983] Software: Emotion engine (facial expression recognition library), generative AI model (GPT-based natural language processing model)

[1984] Specific examples

[1985] When a user accesses a virtual art gallery using a smartphone and enjoys emotional guidance while viewing the exhibits, the emotion engine recognizes the emotion and the generative AI model adjusts the dialogue content.

[1986] Example prompt sentence:

[1987] User: What is this picture of?

[1988] Generative AI model: This is a famous painting. The artist intended it to depict the horrors of war. How does this painting make you feel?

[1989] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1990] Step 1:

[1991] A user sends a request to participate in a virtual tour from a terminal.

[1992] Input: User request data (Virtual tour selection)

[1993] Output: The request is sent to the server.

[1994] Operation: The device sends a request for the user's selected virtual tour to the server, including the name of the tour selected by the user and other necessary information.

[1995] Step 2:

[1996] The server receives the request, generates a virtual tour link, and sends it to the device.

[1997] Input: User request data

[1998] Output: Virtual tour link

[1999] Operation: Based on the received request, the server generates the appropriate virtual tour link and sends the link to the device.

[2000] Step 3:

[2001] The user clicks on the virtual tour link on their device to start the tour.

[2002] Input: Virtual tour link

[2003] Output: The virtual tour begins.

[2004] How it works: The device starts a virtual tour based on the link the user clicks, allowing the user to visually experience the tour.

[2005] Step 4:

[2006] The device uses a camera to capture the user's facial expressions, which are then analyzed by the emotion engine.

[2007] Input: User's face image

[2008] Output: User emotion data

[2009] How it works: The device captures a user's facial image through the camera and sends the image data to the emotion engine, which analyzes the user's facial expressions and identifies their current emotional state.

[2010] Step 5:

[2011] The emotion engine sends the user's emotion data to the server, and the generative AI model receives it and generates the dialogue content.

[2012] Input: User emotion data

[2013] Output: Emotion-based dialogue

[2014] How it works: The emotion engine sends the analyzed emotion data to the server, where the generative AI model generates appropriate dialogue based on this data.

[2015] Step 6:

[2016] The server transmits the generated dialogue content to the terminal, which then displays the dialogue content to the user.

[2017] Input: Dialogue content generated by the generative AI model

[2018] Output: Displaying the dialogue to the user

[2019] Operation: The server sends the generated dialogue content to the terminal, which displays it to the user, enriching the user's experience.

[2020] Step 7:

[2021] The user inputs a new question or comment from the terminal and sends it to the server.

[2022] Input: User questions and comments

[2023] Output: New request data sent to the server

[2024] How it works: The user enters new questions or comments during the virtual tour, and the device sends them to the server.

[2025] Step 8:

[2026] The server processes the user's questions and comments through a generative AI model to generate appropriate answers.

[2027] Input: User questions and comments

[2028] Output: Answer from the generative AI model

[2029] How it works: The server receives user questions and comments and sends them to the generative AI model, which then generates an appropriate answer.

[2030] Step 9:

[2031] The server sends the generated answer to the terminal, which displays the answer to the user.

[2032] Input: Generated response data

[2033] Output: Display the answer to the user

[2034] Operation: The server sends the answer generated by the generative AI model to the device, which then displays the answer to the user and continues the dialogue.

[2035] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[2036] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2037] 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 the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2038] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2039] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[2040] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[2041] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[2042] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[2043] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[2044] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[2045] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[2046] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[2047] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[2048] 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.

[2049] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[2050] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[2051] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[2052] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[2053] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[2054] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[2055] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[2056] The following is further disclosed regarding the above embodiment.

[2057] (Claim 1)

[2058] a means for providing a virtual tour;

[2059] A means to hold digital exhibitions;

[2060] A means of conducting online workshops;

[2061] A means of sharing digital content of cultural assets,

[2062] A dialogue method using generative AI models,

[2063] A system including:

[2064] (Claim 2)

[2065] The system of claim 1, wherein the interactive means using the generative AI model is a means for answering questions from the user in real time during the virtual tour.

[2066] (Claim 3)

[2067] The system of claim 1, wherein the interactive means using the generative AI model is a means for answering questions from users in real time during an online workshop.

[2068] "Example 1"

[2069] (Claim 1)

[2070] means for accepting requests from users;

[2071] a means for parsing the request data;

[2072] a means for invoking a corresponding generative AI model;

[2073] a means for generating content;

[2074] means for providing the generated content to a user;

[2075] a means for rendering an interactive interface on the device;

[2076] A means for users to interact with the generative AI model; and

[2077] a means of collecting feedback;

[2078] A system including:

[2079] (Claim 2)

[2080] The system of claim 1, wherein the generative AI model is a means for generating content corresponding to a user request in real time and providing it to the user.

[2081] (Claim 3)

[2082] 2. The system of claim 1, wherein the generative AI model is a means for answering questions from a user in real time during a virtual tour.

[2083] (Claim 4)

[2084] 10. The system of claim 1, wherein the generative AI model is a means for answering user questions in real time during an online workshop.

[2085] "Application Example 1"

[2086] (Claim 1)

[2087] a means for providing a virtual tour;

[2088] A means to hold digital exhibitions;

[2089] A means of conducting online workshops;

[2090] A means of sharing digital content of cultural assets,

[2091] A dialogue method using generative AI models,

[2092] A means that operates on a smartphone;

[2093] a means for providing an interactive interface;

[2094] A system including:

[2095] (Claim 2)

[2096] The system of claim 1, wherein the interactive means using the generative AI model is a means for answering questions from the user in real time during the virtual tour.

[2097] (Claim 3)

[2098] The system of claim 1, wherein the interactive means using the generative AI model is a means for answering questions from users in real time during an online workshop.

[2099] "Example 2: Combining Emotion Engines"

[2100] (Claim 1)

[2101] means for a user to submit a request to participate in a virtual tour;

[2102] A means for the server to generate a virtual tour using the generation AI model;

[2103] a means for the server to recognize the user's emotions using an emotion engine and adjust the dialogue based on the recognition result;

[2104] A means for the terminal to render the virtual tour data provided by the server and provide it to the user;

[2105] The server prepares high-definition images and 3D models, and hosts a digital exhibition integrating generative AI models and emotion engines.

[2106] a means for the server to transmit the digital exhibition data to the terminal, and for the terminal to render and display the data to the user;

[2107] The server manages the schedule and content of the online workshop, and uses generative AI models and emotion engines to conduct question-answering and dialogue.

[2108] a means for a user to receive a link from the server to participate in an online workshop;

[2109] A server collects, manages, and shares digital content related to cultural properties;

[2110] A means for users to access digital cultural heritage content using generative AI models and emotion engines through their devices;

[2111] A system including:

[2112] (Claim 2)

[2113] The system of claim 1, wherein the interactive means using the generative AI model is a means for answering questions from the user in real time during the virtual tour.

[2114] (Claim 3)

[2115] The system of claim 1, wherein the interactive means using the generative AI model is a means for answering questions from users in real time during an online workshop.

[2116] "Application example 2 when combining emotion engines"

[2117] (Claim 1)

[2118] a means for providing a virtual tour;

[2119] A means to hold digital exhibitions;

[2120] A means of conducting online workshops;

[2121] A means of sharing digital content of cultural assets,

[2122] A dialogue method using generative AI models,

[2123] a means for combining an emotion engine that recognizes the user's emotions;

[2124] A means to adjust dialogue and commentary based on emotion;

[2125] A system including:

[2126] (Claim 2)

[2127] The system of claim 1, wherein the dialogue means using the generative AI model is a means for answering questions from the user in real time during the virtual tour, and the emotion engine is a means for recognizing the user's emotions and adjusting the dialogue based on those emotions.

[2128] (Claim 3)

[2129] The system of claim 1, wherein the dialogue means using the generative AI model is a means for answering questions from users in real time during an online workshop, and the emotion engine is a means for recognizing the user's emotions and adjusting the dialogue based on those emotions. [Explanation of symbols]

[2130] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for providing a virtual tour; A means to hold digital exhibitions; A means of conducting online workshops; A means of sharing digital content of cultural assets, A dialogue method using generative AI models, A system including:

2. The system according to claim 1, wherein the interactive means using the generative AI model is a means for answering questions from the user in real time during the virtual tour.

3. 2. The system according to claim 1, wherein the interactive means using the generative AI model is a means for answering questions from users in real time during an online workshop.

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